Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
17/05/2024
Full time
Your new role We are looking for a Database Administrator to develop, implement, and maintain the 24/7 corporate database infrastructure for the organisation. The role also involves supporting the enterprise-wide server and storage infrastructure, computer information systems, applications software, and web-based service delivery. Design, implement, maintain and support the database and associated infrastructure to ensure a robust, reliable, efficient and secure operation of the systems and services. Undertake a key responsibility and/or provide backup cover across the team, such as for selected server and storage infrastructure, operating systems, application software, and web-based service delivery, including effective liaison with contracted external suppliers and ensuring alignment with agreed technology and enterprise systems strategy, service requirements, security arrangements, and data exchange and inter-operability requirements. Installation, configuration, and upgrades to database systems and applications software as required, including server virtualisation where applicable. Maintain data standards, including adherence to the Data Protection Act. Monitor and manage systems performance and usage, taking baselines, recording trends and initiation prompt and appropriate action to resolve faults and problems, maintain services and increase capacity when required. Implementation, monitoring and maintenance of agreed standards, services, access arrangements, and security measures Comply with agreed change management procedures and 'at risk' times for the implementation of changes, including taking account of organisation's requirements and providing adequate notice and information for users Test and implement new technologies and services in accordance with agreed strategic development priorities and service requirements, and in conjunction with other substantive and project teams. Plan and test systems business continuity and disaster recovery arrangements, including associated documentation, risk registers, diagrams, and action scripts Assist the Head of IT Operations with the analysis, evaluation, and procurement of hardware and software solutions required for the development and maintenance of the provision. What you'll need to succeed Substantial proven practical expertise and experience in supporting large corporate systems and applications in a large enterprise networked environment at an appropriate level of responsibility Proven knowledge of server operating systems and virtualisation techniques Proven specialist understanding, expertise and experience appropriate to a designated key responsibility A good understanding of the systems and services required to support learning, teaching, research, and university business and administration requirements. A good understanding of information security principles and best practice. Experience in: Windows and SQL server systems, Active Directory Novell Netware systems, Zenworks, e-Directory Linux (SUSE) systems Sun Solaris Unix systems, NIS+ Lotus Domino MS Exchange and mail services Web Servers, Apache, Tomcat Experience across the Oracle suite Data warehouse infrastructure, data archive solutions Storage area networks, volume management Anti-virus software Technical architectures and development environments inc JAVA, .NET and Visual C++ What you'll get in return A permanent role paying up to £53,000pa + benefits. The role is based in Hertfordshire and hybrid working is on offer. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found on our website.
I am working with a well-known software consultancy in Edinburgh who are looking to recruit a Digital Transformation Consultant for their Edinburgh or Bristol office . The company: They are a thriving software company, focused on Digital Transformation and cloud consultancy. Their head office is in Edinburgh, and they have a wide-ranging list of clients from private, to government to public sector. They focus on designing and building software cloud solutions and digital transformation across some huge organisations and this is a pivotal role for them. They are hiring due to an internal restructure and this role will be reporting directly into the company's Managing Director. In relation to where you will work, this will be a combination of home based (majority) and some office working. Ideally, you could get into the Edinburgh office at the Gyle roughly twice a week, as you will be a senior figure and your presence will be of great benefit to the team. However, this role is working with a client down in Bristol, so you will likely visit them once a month. The role could also be based near Bristol, working remotely and close to the client. The role: In this role, you will lead the delivery of complex clients and programmes and will be a key member of the business. You will lead large-scale delivery with a focus on achieving client outcomes, developing senior client relationships (at the C-suite level) and doing this through effective delivery leadership. Your key responsibilities will include but are not limited to: * Leading a multi-disciplined team to drive highest levels of customer satisfaction * Leading on the implementation of the company strategy across one main client * Representing the business across the organisation, in front of clients and prospective clients * Maximising the return on sales and identifying opportunities * Lead on the development of the capability across Project Management, Architecture, Cloud and Software Development This is a client-facing role which combines strong leadership attributes working across all dimensions of the consultancy life cycle, including pre-sales, commercial, relationships, technology, delivery and people. Your background: * Previous experience working in a software/technology consultancy or large end-user * Background in a Senior Software Delivery role, working with large-scale clients and organisations * Strong appreciation of modern software engineering and associated development technologies and the full software development life cycle * Background in leading the delivery of large-scale, complex technology projects for clients, or lead a portfolio of client engagements * Ability to develop and maintain senior client/partner relationships * Contribute to the development of innovative propositions, ways of working and other thought leadership collateral This is an opportunity to work with a thriving and employee-first organisation. You will get to work with some huge organisations whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
17/05/2024
Full time
I am working with a well-known software consultancy in Edinburgh who are looking to recruit a Digital Transformation Consultant for their Edinburgh or Bristol office . The company: They are a thriving software company, focused on Digital Transformation and cloud consultancy. Their head office is in Edinburgh, and they have a wide-ranging list of clients from private, to government to public sector. They focus on designing and building software cloud solutions and digital transformation across some huge organisations and this is a pivotal role for them. They are hiring due to an internal restructure and this role will be reporting directly into the company's Managing Director. In relation to where you will work, this will be a combination of home based (majority) and some office working. Ideally, you could get into the Edinburgh office at the Gyle roughly twice a week, as you will be a senior figure and your presence will be of great benefit to the team. However, this role is working with a client down in Bristol, so you will likely visit them once a month. The role could also be based near Bristol, working remotely and close to the client. The role: In this role, you will lead the delivery of complex clients and programmes and will be a key member of the business. You will lead large-scale delivery with a focus on achieving client outcomes, developing senior client relationships (at the C-suite level) and doing this through effective delivery leadership. Your key responsibilities will include but are not limited to: * Leading a multi-disciplined team to drive highest levels of customer satisfaction * Leading on the implementation of the company strategy across one main client * Representing the business across the organisation, in front of clients and prospective clients * Maximising the return on sales and identifying opportunities * Lead on the development of the capability across Project Management, Architecture, Cloud and Software Development This is a client-facing role which combines strong leadership attributes working across all dimensions of the consultancy life cycle, including pre-sales, commercial, relationships, technology, delivery and people. Your background: * Previous experience working in a software/technology consultancy or large end-user * Background in a Senior Software Delivery role, working with large-scale clients and organisations * Strong appreciation of modern software engineering and associated development technologies and the full software development life cycle * Background in leading the delivery of large-scale, complex technology projects for clients, or lead a portfolio of client engagements * Ability to develop and maintain senior client/partner relationships * Contribute to the development of innovative propositions, ways of working and other thought leadership collateral This is an opportunity to work with a thriving and employee-first organisation. You will get to work with some huge organisations whilst leading and working alongside some very bright minds. If you are interested, please apply or call Hamish at Cathcart Technology for a chat.
Full Stack Developer- React, C#, Typescript, Elastic, Postgres, MySQL, GraphQL, Apache, AWS Role: Working as a Senior Developer in a hands-on role Front End - React, Backend - Typescript and C# Working for a company in a fast-paced industry Working with offshore teams that you will be responsible for looking after Encompass hands-on software development activities Looking for someone who is aspiring to become a Head of Development Skills: Must have extensive experience with React and Typescript C# good to have but not a dealbreaker Experience with Lean Agile, MySQL, Postgres, and any GraphQL beneficial Experience with Elasticsearch and Apache Nifi advantageous Perm. 2 days onsite (Kingston). By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
16/05/2024
Full time
Full Stack Developer- React, C#, Typescript, Elastic, Postgres, MySQL, GraphQL, Apache, AWS Role: Working as a Senior Developer in a hands-on role Front End - React, Backend - Typescript and C# Working for a company in a fast-paced industry Working with offshore teams that you will be responsible for looking after Encompass hands-on software development activities Looking for someone who is aspiring to become a Head of Development Skills: Must have extensive experience with React and Typescript C# good to have but not a dealbreaker Experience with Lean Agile, MySQL, Postgres, and any GraphQL beneficial Experience with Elasticsearch and Apache Nifi advantageous Perm. 2 days onsite (Kingston). By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Role: Unreal Engine Developer Location: Hybrid working - 2 Days Per Week in Bristol Salary: Up to £40,000 - £45,000 Are you an Unreal Engine Developer looking for a new exciting position? I am currently working with a business based out of Bristol and Portsmouth that are looking for an Unreal Engine Developer to join their team to work across many exciting projects supporting the MOD on virtual reality and simulation projects. This is an exciting opportunity to join a growing technology company. The core development team have exceptional knowledge in the defence training industry and in a few months you could too! As an Unreal Developer with my client, you will make a real difference to the success and security of their customers. They are dedicated to employee development and recognition and are committed to nurture talent and ambitious employees who help them continuously improve performance and maintain a competitive advantage. Purpose of the role: As a developer you will be responsible for delivering XR project for the defence and private sector. You will be responsible for the structure, delivery and execution of exciting projects supporting their established client base. Other responsibility will include scanning for opportunities to utilise XR tech for training modernisation to enhance the effectiveness of their clients training. On top of the continuous personal development opportunities that will be provided, you will have the chance to work across a range of projects including augmented reality, artificial intelligence, web and mobile. Responsibilities as an Unreal Engine Developer: Lead the core coding architecture for VR development projects, offering vital support to the team. Ensure assistance is provided to relevant subcontractors throughout the development and delivery phases of supporting projects. Maintain code quality using industry-standard practices and comprehensive documentation. Collaborate with the change team on VR outline or detailed proposal activities. Stay ahead of the curve by conducting horizon scanning to identify new technology, companies, and solutions in the market. Undertake any additional tasks necessary to ensure the role's success and support the Business Unit effectively. Essential Skills and Knowledge: Proven prowess in leveraging gaming technologies to create immersive experiences. Proficient in showcasing skills with Unreal, bringing creative visions to life. Tangible experience in the realm of Virtual Reality development, crafting captivating virtual worlds. Familiarity with other essential software packages including Source Control and Visual Studio. Bachelor's degree in a directly relevant field, providing a solid foundation for innovation and growth. If you feel this role matches your skill set and experience, apply today and I will be in touch. My client does not offer sponsorship for this role. All candidates must be able to provide proof of right to work in the UK.
16/05/2024
Full time
Role: Unreal Engine Developer Location: Hybrid working - 2 Days Per Week in Bristol Salary: Up to £40,000 - £45,000 Are you an Unreal Engine Developer looking for a new exciting position? I am currently working with a business based out of Bristol and Portsmouth that are looking for an Unreal Engine Developer to join their team to work across many exciting projects supporting the MOD on virtual reality and simulation projects. This is an exciting opportunity to join a growing technology company. The core development team have exceptional knowledge in the defence training industry and in a few months you could too! As an Unreal Developer with my client, you will make a real difference to the success and security of their customers. They are dedicated to employee development and recognition and are committed to nurture talent and ambitious employees who help them continuously improve performance and maintain a competitive advantage. Purpose of the role: As a developer you will be responsible for delivering XR project for the defence and private sector. You will be responsible for the structure, delivery and execution of exciting projects supporting their established client base. Other responsibility will include scanning for opportunities to utilise XR tech for training modernisation to enhance the effectiveness of their clients training. On top of the continuous personal development opportunities that will be provided, you will have the chance to work across a range of projects including augmented reality, artificial intelligence, web and mobile. Responsibilities as an Unreal Engine Developer: Lead the core coding architecture for VR development projects, offering vital support to the team. Ensure assistance is provided to relevant subcontractors throughout the development and delivery phases of supporting projects. Maintain code quality using industry-standard practices and comprehensive documentation. Collaborate with the change team on VR outline or detailed proposal activities. Stay ahead of the curve by conducting horizon scanning to identify new technology, companies, and solutions in the market. Undertake any additional tasks necessary to ensure the role's success and support the Business Unit effectively. Essential Skills and Knowledge: Proven prowess in leveraging gaming technologies to create immersive experiences. Proficient in showcasing skills with Unreal, bringing creative visions to life. Tangible experience in the realm of Virtual Reality development, crafting captivating virtual worlds. Familiarity with other essential software packages including Source Control and Visual Studio. Bachelor's degree in a directly relevant field, providing a solid foundation for innovation and growth. If you feel this role matches your skill set and experience, apply today and I will be in touch. My client does not offer sponsorship for this role. All candidates must be able to provide proof of right to work in the UK.
Location: Cambridge We're seeking an experienced Lead Mechatronic Engineer to spearhead the development of our autonomous harvesting robot. In this role, you'll design, build, and test prototypes, ensuring the system's robustness and manufacturability for market readiness. Responsibilities: Lead the design and development of the robotic platform for precision harvesting. Integrate sensors, electronics, software, and electromechanical devices into cost-effective designs. Collaborate with cross-functional teams on system integration and manufacturing processes. Conduct field trials and validation at grower sites. Manage projects, partnerships, and suppliers to meet timelines and budgets. Present technical reports and updates to senior leadership. Oversee CAD and PDM infrastructure, providing training and support. Qualifications/Experience: Degree in Mechatronic Engineering or equivalent. 5+ years of product development experience in robotics or manufacturing. Expertise in SolidWorks, Altium, and the full product development life cycle. Proficient in 3D CAD modelling, tolerance analysis, and design for manufacturability. Ability to lead projects, interpret customer needs, and translate requirements. Skilled in managing multiple projects, deadlines, and priorities. Experience with design for manufacturing principles and FEA (preferred). Familiarity with robot arm actuators, end-effectors/grippers, and soft robotics. Strong problem-solving, analytical, and organizational skills. Excellent team player with the ability to work autonomously. Proficient in MS Office tools Job Types: Full-time, Permanent
16/05/2024
Full time
Location: Cambridge We're seeking an experienced Lead Mechatronic Engineer to spearhead the development of our autonomous harvesting robot. In this role, you'll design, build, and test prototypes, ensuring the system's robustness and manufacturability for market readiness. Responsibilities: Lead the design and development of the robotic platform for precision harvesting. Integrate sensors, electronics, software, and electromechanical devices into cost-effective designs. Collaborate with cross-functional teams on system integration and manufacturing processes. Conduct field trials and validation at grower sites. Manage projects, partnerships, and suppliers to meet timelines and budgets. Present technical reports and updates to senior leadership. Oversee CAD and PDM infrastructure, providing training and support. Qualifications/Experience: Degree in Mechatronic Engineering or equivalent. 5+ years of product development experience in robotics or manufacturing. Expertise in SolidWorks, Altium, and the full product development life cycle. Proficient in 3D CAD modelling, tolerance analysis, and design for manufacturability. Ability to lead projects, interpret customer needs, and translate requirements. Skilled in managing multiple projects, deadlines, and priorities. Experience with design for manufacturing principles and FEA (preferred). Familiarity with robot arm actuators, end-effectors/grippers, and soft robotics. Strong problem-solving, analytical, and organizational skills. Excellent team player with the ability to work autonomously. Proficient in MS Office tools Job Types: Full-time, Permanent
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
16/05/2024
Full time
Strategic: By supporting the project in the areas of team organization, documentation control and cost allocation in SAP/WBS, the project liaison team leader will see their role and responsibility increase with the development of the project through the design phases. Every new design phase will bring additional needs and workload, driven by the implementation and closure phases requiring a higher contribution of this function, thus a higher need of good coordination. This function provides an important assistance to the design engineers by allowing them to focus mainly in the engineering design and removing from them the workload of project organization tasks. The project liaison team leader has a key role in expansion projects to guarantee that all purchase orders of the project are correctly allocated to the correspondent WBS, hence guaranteeing a good knowledge and control of the project budget, as well as, the documentation generated by the project is correctly logged, distributed and archived Scope of the mission Integrating the project team, the project liaison team leader is responsible to lead the team which coordinates project documentation flows and archive, establishes systems to manage/track purchase orders and goods receipts, responsible management of miscellaneous non-PO purchases, establish and maintain systems for allocation of project costs in SAP/WBS, and all aspects related with the organization of the engineering team: welcoming new team members, developing individualized onboarding plans, support their needs, organize the project gate reviews and monthly review meetings Primary Tasks and responsibilities: . Onboarding of new employees: o Lead, with support from the Regional Program Director, in onboarding of new employees to the engineering organization o Work with new employees' direct supervisors to develop individual training plans tailored to the needs of their role, along with base knowledge/expectations of the engineering organization o Plan and prepare the logistic needs for new team members, including system/security access, supplies/equipment, travel arrangements, and other business support. * Cost control: o Establish and maintain systems to issue and track purchase orders in SAP, guaranteeing correct WBS allocation o Coach and Support Project Liaison to issue and track Shopping Carts (SCs), Purchase Orders (POs) and goods receipts (GRs) in SAP in a timely manner o Coach and Support Project Controls to Actively manage SAP/WBS cost allocation and highlight variations o Provide actuals per WBS to support forecasting by Project Managers o Stewardship of Engineering procurement card (ProCard) for all non-travel related miscellaneous purchases, ensuring appropriate use of Procard vs Purchase Order, leadership approval according to Local Approval Matrix (LAM) o Consolidate quarterly and monthly project cost forecast reported by PM o Update forecasts in Planisware o Oversee updating of SAP/ARIBA files o Monthly Headcount allocation to appropriate WBS accounts for all active projects & waves within the region/site o Report actual costs of the yearly Engineering department budgets * Leadership of the Liaison Team o Manage of daily miscellaneous requirements and admin tasks o Manage and delegate administrative tasks and project priorities o Manage and delegate department administrative work such as organizing the monthly department meetings, annual outing, travel, visitors, teambuilding activities, etc o Maintain and manage a healthy and motivating work environment o Improve and formalize monthly departmental reports/meeting * Leadership of the Document Control Team: o Organize, distribute and archive all project documents, guaranteeing proper archiving rules to support claims to contractors and EPCm partners o Manage the project folder access Matrix, maintain project transmittals, archiving engineering deliverables and permitting docs on project Servers * Department Communication: o Responsible for all aspect of internal and external communication within local Engineering department o Manage visual branding display in department o Work closely with HR/GSS/EHS team * Facilities management: o Responsible for facilities operations within the department o Liaise with facilities contractors, responsible to maintain engineering facilities o Managing repairs, maintenance and replacement in the engineering facilities o Working together with EHS regarding fire safety procedures in the engineering facilities * General duties: o Carry out assigned tasks and duties in a safe manner, in accordance with instructions, and to comply with environmental, health & safety rules/procedures, regulations and codes of practice. o Perform engineering and technical support to the projects when needed, undertaking any additional tasks commensurate with the role as and when required. o rules and procedures set down: Technical Profile requirements: . University degree or College diploma specializing in business administration or a technical field . Experience and/or background in industrial companies, preferably linked to engineering or . operations . Competent and fluent (written and verbal) in Spanish and English . Computer literacy with good working knowledge of the MS Office package . Experience with SAP and Ariba software . Knowledge of EHS standards and industry good practices . Must have the Knowledge, Experience and Skills to conduct their tasks in accordance with the Non-Technical Profile Requirements : . Organized . Team worker . Result oriented and timely delivery . Positive mindset . Capable to work in Matrix organizations . Problem and conflict solver . Flexible and resilient to work in ambiguous situations with limited supervision . Coaching skills . Good communication Location: . North of Spain, exact location remains confidential till at least early July . Until EOY 2024 remote work, afterwards consultants are expected to work onsite Business Travel: . Travel will be required and outside Spain reimbursed via expenses Contract: . Long term contract . Confirmation of the mission will take place before 1/7 . Official confirmation and contract creation scheduled for early July Start: . Objective +- 1st of August . Consultants can perform notice if 4-6 weeks, longer is to discuss with the manager . Consultants cannot take long holidays in July/August after start due to the high workload Languages: . Fluent In Spanish & English Rate: . Market-level Rates for Spain . All-in Rate for Remote and local presence at SPAIN . No expenses accepted Reason for Hire Specific Skills Required for Project Safety Equipment Not applicable (keep in mind that for Olen and Hoboken sites a neon vest is mandatory) Additional Safety Equipment to be provided by Supplier n.a. Travel Required? Yes Travel percentage- 10%
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
UI/UX DESIGNER CONTRACT LOCATION: CHICAGO, IL, Must be onsite 5 days/week DURATION - ONE YEAR MINIMUM SELLING POINTS: User experience design and user interface Figma, sketch or Adobe creative suite and currently working with HTML CSS design systems. Must be able to create a design system from scratch. Must have at least 6 years of UI/UX professional design experience. L ooking for highly motivated and talented UI/UX consultants to work on site with our fast-paced application development team in its Chicago Loop headquarters. As a UI/UX consultant, you will assist a group of top-calibre business analysts and developers responsible for doing test-driven development of software components using Blazor/C# in multiple layers including the user interface, business domain, and data access. Job Qualifications Hands-on proficiency in Figma, Sketch, or Adobe Creative Suite Proficiency in HTML, CSS (SCSS), and JavaScript In-Depth understanding of CSS Design Systems. Must be able to create a Design System from scratch. Experience investigating user experience design requirements Experience developing and conceptualizing a comprehensive UI/UX design strategy Proficiency in Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes. Working knowledge of Microsoft Blazor preferred Overhaul the Legacy CBA application (AngularJS & Bootstrap) design using modern design concepts and human computer interaction (HCI) principles. Simplify the workflows followed by Basic, Advanced & Admin users. Review the more modern CBA Admin Dashboard application (Blazor). Convert designs into working prototypes using HTML, CSS & JavaScript (if applicable) Test Runner Redesign of the entire application,and simplify difference user experience flows based on user requirements. Help simplify the UX flows for this data intensive application. Convert all designs into working prototypes using HTML, CSS & JavaScript (if applicable) Web Platform Review the Legacy and new UI/UX of the Events & Notifications feature, and create designs & mockups to overcome any identified limitations.
15/05/2024
UI/UX DESIGNER CONTRACT LOCATION: CHICAGO, IL, Must be onsite 5 days/week DURATION - ONE YEAR MINIMUM SELLING POINTS: User experience design and user interface Figma, sketch or Adobe creative suite and currently working with HTML CSS design systems. Must be able to create a design system from scratch. Must have at least 6 years of UI/UX professional design experience. L ooking for highly motivated and talented UI/UX consultants to work on site with our fast-paced application development team in its Chicago Loop headquarters. As a UI/UX consultant, you will assist a group of top-calibre business analysts and developers responsible for doing test-driven development of software components using Blazor/C# in multiple layers including the user interface, business domain, and data access. Job Qualifications Hands-on proficiency in Figma, Sketch, or Adobe Creative Suite Proficiency in HTML, CSS (SCSS), and JavaScript In-Depth understanding of CSS Design Systems. Must be able to create a Design System from scratch. Experience investigating user experience design requirements Experience developing and conceptualizing a comprehensive UI/UX design strategy Proficiency in Producing high-quality UX design solutions through wireframes, visual and graphic designs, flow diagrams, storyboards, site maps, and prototypes. Working knowledge of Microsoft Blazor preferred Overhaul the Legacy CBA application (AngularJS & Bootstrap) design using modern design concepts and human computer interaction (HCI) principles. Simplify the workflows followed by Basic, Advanced & Admin users. Review the more modern CBA Admin Dashboard application (Blazor). Convert designs into working prototypes using HTML, CSS & JavaScript (if applicable) Test Runner Redesign of the entire application,and simplify difference user experience flows based on user requirements. Help simplify the UX flows for this data intensive application. Convert all designs into working prototypes using HTML, CSS & JavaScript (if applicable) Web Platform Review the Legacy and new UI/UX of the Events & Notifications feature, and create designs & mockups to overcome any identified limitations.
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
15/05/2024
Full time
Python Back End engineers are required by this leading Product company as they look to bring their development back in-house and build out the functionality on an already-successful platform operating in a niche space with a fantastic client base.You will be spearheading the creation and deployment of ground-breaking software solutions Key Responsibilities: Work as part of a cross-functional team to help drive the development of new features Lead change, innovation, and drive transformation within our teams: your expertise will identify opportunities for improvement in our Front End applications, tooling, and architecture. Ensure best practices and patterns: you will advocate and enforce best standards, and patterns. Your deep understanding of Front End technologies will help you to guide your peers - ensuring that our code is of high quality. Work on automation and process improvement: you will increase efficiency, reliability, and scalability, by creating automated processes that improve development workflows. Promote engineering ways of working: by taking the lead in establishing the importance of engineering first principles in your team and ensuring they are followed. Collaborate and share knowledge: you will engage with the engineering community, using your expertise to contribute to events and knowledge-sharing initiatives. You will inspire and motivate your peers to learn - improving their capabilities. Participate in hiring new engineers: you will be part of the interview and hiring process, using your experience and insights to identify top talent. You will help build the engineering team. Required Skills and Qualifications: Significant experience in API and web application development using Python with Flask and/or FastAPI Experience with creating REST APIs Experience with Cloud Functions, ideally in Google Cloud/Terraform Experience with containerisation - Docker/Kubernetes Ability to design architectures to meet scalability, reliability and security targets Good problem-solving skills with an emphasis on product development In-depth understanding of best practices, coding standards, and architectural patterns in Back End development. Experience in automating builds, code checks, and releases using industry-standard tools. Knowledge and experience of Agile methodologies and practices Experience of B2B2C SaaS products would be an advantage The role requires 2 days a week in the London office
A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in Android development to join their Everyday Banking team! This will be a senior technical position in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java/Kotlin within Android development Background in defining standards and setting best practices Previous experience of leading and motivating teams, creating a culture of positivity Jetpack Restful APIs and integrating with Back End android applications Agile TDD/BDD The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Everyday Banking function. *Please note, strong commercial experience of Android development is required for this position. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role.
15/05/2024
Full time
A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in Android development to join their Everyday Banking team! This will be a senior technical position in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: Java/Kotlin within Android development Background in defining standards and setting best practices Previous experience of leading and motivating teams, creating a culture of positivity Jetpack Restful APIs and integrating with Back End android applications Agile TDD/BDD The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Everyday Banking function. *Please note, strong commercial experience of Android development is required for this position. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role.
Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in iOS to join their Payments team! This will be a Chapter Lead Engineer - iOS in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: * iOS Mobile developer * TDD, BDD and DevOps practices * Knowledge of iOS frameworks such as UIKit, Core Animation, Core Data * Experience with offline storage, threading, and performance tuning * RESTful APIs, and connecting iOS applications to Back End services * Understanding of Apple's design principles and interface guidelines * Agile The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Payments function. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role. Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh
15/05/2024
Full time
Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh A brilliant new opportunity has opened up with a well-known retail Bank for a Chapter Lead specialising in iOS to join their Payments team! This will be a Chapter Lead Engineer - iOS in the business that encompasses mentorship and training of the team, along with spearheading technical designs and solutions, then implementing these throughout the whole end to end software development life cycle. The role would be perfect for someone who loves innovation, is keen to dive straight in to things and have a real impact with the work that you're doing. You'll be constantly looking to push the boundaries and make sure that you're at the forefront of modern technology, bringing the team with you! This is a permanent position with a salary on offer of up to £125k + comprehensive benefits package. They would like you to come to their London, Bristol or Edinburgh office on a hybrid basis (twice a week), this can be flexible and negotiable if required. Tech skills needed: * iOS Mobile developer * TDD, BDD and DevOps practices * Knowledge of iOS frameworks such as UIKit, Core Animation, Core Data * Experience with offline storage, threading, and performance tuning * RESTful APIs, and connecting iOS applications to Back End services * Understanding of Apple's design principles and interface guidelines * Agile The role would be perfect for someone who loves taking their ideas into production, is committed to best practices and knows how to create comprehensive technical solutions that will be the premise for the future growth of the bank's Payments function. Interviews for this role will be taking place ASAP (2 stage process) so if you like the sound of it please apply with your CV right away and let's chat! Unfortunately no sponsorship will be provided for this role. Chapter Lead Engineer - iOS - up to £125K+ Benefits - Hybrid London, Bristol or Edinburgh
Role: Interim Technology Category Manager - UKI Location : Hybrid working with 1 day on site (either Leeds or London) Length : 12 months Salary : £65,000 per annum We are actively looking to secure a Category Manager to join Experis as one of our expert consultants, delivering services to our clients. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on -assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. The role: This is an interim role supporting the Head of Sourcing - Technology with delivering the commercial strategy of the business in the Technology space. As part of the UKI Procurement team, you will be supporting a number of key projects within a c.£50m of third party spend per annum across all brands within the business. You will work closely with UKI Technology. You will be responsible for supporting external relationships at a tactical level, and supporting the commercial needs of the business with a range of best in class software, hardware, hosting and network providers. This role reports into the Head of Sourcing - Technology, UKI. Key responsibilities: Support key Technology suppliers across the business, working closely with other brands in the group to ensure we leverage our scale where possible. Play a supporting role in how we mitigate an ever changing landscape in the Technology area, supporting on initiatives and strategies to mitigate cost challenges. The Subject Matter Expert for Technology related contracts. Maintain strong relationships with Technology stakeholders. Positively maintain commercial relationships with new and existing partners across the Technology portfolio. Conduct regular communication and engagement with multiple internal business owners to identify and deliver against agreed negotiation priorities. Critically appraise and negotiate current and proposed deals, with the goal of always securing the best commercial terms for the business. Drive the commercial evaluation of new technologies and opportunities, based on industry and competitor analysis. Conduct negotiations with partners, while continually aligning with internal stakeholders, in order to progress agreements to signature stage and operational handover. Essential skills & experience: Experience of managing the end-to-end procurement life cycle in a complex commercial environment, from requirements gathering to contract execution. Experience working within a commercial/E-commerce environment. Experience of complex commercial contracts, in the Technology space, in particular complex software, hardware, network or hosting contracts. Display strong skills in commercial modelling, including capex and opex models. Experience of building and maintaining relationships with Technology stakeholders, with an ability to influence and drive improvements. Display excellent written and verbal communication skills and presentation skills. Display strong interpersonal skills, time management skills and sound judgement. Display ability to learn quickly, adapt to new scenarios and navigate fluidly developing situations with ease. Be highly organized, numerate & articulate, with a good ability to work under pressure. Display experience of, and confidence with, effectively managing and developing internal and external relationships with Technology stakeholders. Display self-motivation, resilience, attention to detail and ability to focus on goal attainment.
14/05/2024
Full time
Role: Interim Technology Category Manager - UKI Location : Hybrid working with 1 day on site (either Leeds or London) Length : 12 months Salary : £65,000 per annum We are actively looking to secure a Category Manager to join Experis as one of our expert consultants, delivering services to our clients. Experis Consultancy is a Global entity with a well-established team with over 1000 consultants on -assignment across 20 clients globally. Our UK operation is growing and has very aggressive plans for expansion over the coming years. We form part of the Manpower group of companies that turn over $20 billion a year collectively. Experis UK have partnerships with major clients across the UK spanning multiple industries; our approach is a very personal one, with both our clients and our own employees. We are passionate about training, technology and career development. The role: This is an interim role supporting the Head of Sourcing - Technology with delivering the commercial strategy of the business in the Technology space. As part of the UKI Procurement team, you will be supporting a number of key projects within a c.£50m of third party spend per annum across all brands within the business. You will work closely with UKI Technology. You will be responsible for supporting external relationships at a tactical level, and supporting the commercial needs of the business with a range of best in class software, hardware, hosting and network providers. This role reports into the Head of Sourcing - Technology, UKI. Key responsibilities: Support key Technology suppliers across the business, working closely with other brands in the group to ensure we leverage our scale where possible. Play a supporting role in how we mitigate an ever changing landscape in the Technology area, supporting on initiatives and strategies to mitigate cost challenges. The Subject Matter Expert for Technology related contracts. Maintain strong relationships with Technology stakeholders. Positively maintain commercial relationships with new and existing partners across the Technology portfolio. Conduct regular communication and engagement with multiple internal business owners to identify and deliver against agreed negotiation priorities. Critically appraise and negotiate current and proposed deals, with the goal of always securing the best commercial terms for the business. Drive the commercial evaluation of new technologies and opportunities, based on industry and competitor analysis. Conduct negotiations with partners, while continually aligning with internal stakeholders, in order to progress agreements to signature stage and operational handover. Essential skills & experience: Experience of managing the end-to-end procurement life cycle in a complex commercial environment, from requirements gathering to contract execution. Experience working within a commercial/E-commerce environment. Experience of complex commercial contracts, in the Technology space, in particular complex software, hardware, network or hosting contracts. Display strong skills in commercial modelling, including capex and opex models. Experience of building and maintaining relationships with Technology stakeholders, with an ability to influence and drive improvements. Display excellent written and verbal communication skills and presentation skills. Display strong interpersonal skills, time management skills and sound judgement. Display ability to learn quickly, adapt to new scenarios and navigate fluidly developing situations with ease. Be highly organized, numerate & articulate, with a good ability to work under pressure. Display experience of, and confidence with, effectively managing and developing internal and external relationships with Technology stakeholders. Display self-motivation, resilience, attention to detail and ability to focus on goal attainment.
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)
13/05/2024
Full time
- Head of Site Reliability/Infrastructure - Glasgow/Hybrid - Excellent Salary & Benefits Package - Immediate Start Fantastic new opportunity to the market to join our Glasgow-based Fintech client, specialising in managed Cloud provision. The business is entering a growth phase and now recruiting for a seasoned Head of Site Reliability with an infrastructure background, as they continue to grow their tech team from their newly opened, state-of-the-art tech hub in Glasgow. This is a key hire and the first in this space, as the business begins to build out their new Site Reliability team. The successful candidate will be responsible for building out the function, providing true leadership and co-ordination, whilst having a breadth of technical know-how. This opportunity is truly greenfield in nature and offers a blank canvas to implement plans and procedures with the aim of improving the infrastructure reliability, security and functionality with automation at the forefront. Reporting into the COO, you will be a natural leader of people and teams, with the goal of collaborating on the design, deployment, and maintenance of the global infrastructure and to provide system support for the Security, Network Operations and Development teams. The role would ideally suit an experienced automation-focused individual with comprehensive working infrastructure knowledge of Windows and Linux environments (RHEL, Ubuntu), as well as network operating systems experience. Commercial use of Infrastructure-As-Code (IAC) tooling such as Terraform and Ansible is also beneficial. Candidates who are proactive and dedicated are preferred, as this role is highly visible. You will also be a significant contributor to the team's IT success, supporting and delivering infrastructure and solutions and working directly with data centre, network, software development and project teams alike. Key Skills & Experience Proven experience in a site reliability engineering, DevOps, or similar role, with multiple years in a leadership position. Extensive background in cloud computing services (AWS, Google Cloud or Azure) Container orchestration technology exposure (eg Kubernetes). Proficiency in automation Knowledge of Scripting languages (Python, Shell or Go). Knowledge of Cyber Security principles and best practices. Knowledge of regulatory environments and compliance standards Exceptional problem-solving skills Ability to work under pressure in a fast-paced environment. Excellent communication and leadership abilities Strong track-record of building and motivating high-performing teams. Bachelor's or master's degree in Computer Science, Engineering, or a related field.The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below) The above is not exhaustive. Please forward your CV to discuss this requirement in more detail to (see below)