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.
Key Accountabilities: To support the Technical Service Manager(s) and Team Leader in maintaining the operational status, and maximising availability of assets to programme demanders. Resolution of significant issues. Maintain and promote high personal standards in environment, safety, health, security, and quality and be a great team player. Additional accountabilities for this job profile may be defined and appointed through the Chief Engineer Management Arrangements, with appointees listed within the Company Design Authorities and Technical Authorities, as held in the company management system. Key Responsibilities: Deliver Technical Excellence Provide a resilient cost effective highly available infrastructure to the business on top of which hosted services can be deployed, managed, and maintained. To manage the day-to-day sustainment of Infrastructure Systems, ensuring that planning, end-user impact, change management and problem management are properly addressed and monitored to ensure that deadlines, budgets, and service levels are met, and results delivered. Be responsible for diagnosing and following through to resolution any problems, escalating to team members or other teams and vendors when required. Build relationships with other teams within IT Operations to enable better support and communications. To maintain technical skills to allow us to benefit from new and emerging technologies to make supportive decisions. Attend technical briefing/support groups. Understand and develop support system road maps. Experience around packaging applications Moving from windows 10 to windows 11 Skills/Experience: Must have: Microsoft Configuration Manager Microsoft AppV PowerShell Scripting Desirable Skills: Ivanti Workspace control Ivanti Device and Application Control Advanced Installer and InstallShield. Sometime MSI studio Group Policy If you feel you have the skills and experience needed for this role; please do apply now.
17/05/2024
Project-based
Key Accountabilities: To support the Technical Service Manager(s) and Team Leader in maintaining the operational status, and maximising availability of assets to programme demanders. Resolution of significant issues. Maintain and promote high personal standards in environment, safety, health, security, and quality and be a great team player. Additional accountabilities for this job profile may be defined and appointed through the Chief Engineer Management Arrangements, with appointees listed within the Company Design Authorities and Technical Authorities, as held in the company management system. Key Responsibilities: Deliver Technical Excellence Provide a resilient cost effective highly available infrastructure to the business on top of which hosted services can be deployed, managed, and maintained. To manage the day-to-day sustainment of Infrastructure Systems, ensuring that planning, end-user impact, change management and problem management are properly addressed and monitored to ensure that deadlines, budgets, and service levels are met, and results delivered. Be responsible for diagnosing and following through to resolution any problems, escalating to team members or other teams and vendors when required. Build relationships with other teams within IT Operations to enable better support and communications. To maintain technical skills to allow us to benefit from new and emerging technologies to make supportive decisions. Attend technical briefing/support groups. Understand and develop support system road maps. Experience around packaging applications Moving from windows 10 to windows 11 Skills/Experience: Must have: Microsoft Configuration Manager Microsoft AppV PowerShell Scripting Desirable Skills: Ivanti Workspace control Ivanti Device and Application Control Advanced Installer and InstallShield. Sometime MSI studio Group Policy If you feel you have the skills and experience needed for this role; please do apply now.
Location: Barcelona, Spain Languages Required: Fluent English and Spanish Company Overview: Join a dynamic and innovative company at the forefront of supply chain solutions. They specialise in optimising warehouse operations using cutting-edge technologies, and we are seeking a talented Solution Architect with expertise in Manhattan Warehouse Management System (WMS) implementations to join a team in Barcelona. Job Summary: The Solution Architect will be responsible for designing and implementing warehouse management solutions using Manhattan WMS. This role requires a deep understanding of warehouse operations, strong technical skills, and the ability to communicate effectively in both English and Spanish. The ideal candidate will have a proven track record of successful Manhattan WMS implementations and a passion for driving efficiency and innovation in supply chain processes. Key Responsibilities: Solution Design: Develop comprehensive warehouse management solutions using Manhattan WMS that meet client requirements and industry best practices. Implementation: Lead the implementation of Manhattan WMS, ensuring seamless integration with existing systems and processes. Project Management: Oversee project timelines, budgets, and deliverables, coordinating with cross-functional teams to ensure successful project completion. Client Engagement: Act as the primary point of contact for clients, providing expert advice and ensuring client satisfaction throughout the project life cycle. Technical Leadership: Provide technical guidance and mentorship to junior team members, fostering a collaborative and innovative work environment. Documentation: Create and maintain detailed documentation for solutions, including design specifications, configuration guides, and user manuals. Continuous Improvement: Stay current with industry trends and advancements in warehouse management technologies, continuously seeking opportunities to improve solutions and services. Qualifications: Experience: Minimum of 5 years of experience in implementing Manhattan WMS solutions. Technical Skills: Strong proficiency in Manhattan WMS and related technologies. Experience with SQL, Scripting, and integration tools is a plus. Languages: Fluent in English and Spanish, both written and spoken. Education: Bachelor's degree in Computer Science, Engineering, Supply Chain Management, or a related field. Project Management: Demonstrated experience in managing large-scale projects, with the ability to handle multiple priorities and deadlines. Communication: Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering innovative and effective solutions. Team Player: Ability to work collaboratively in a team environment, with a strong emphasis on fostering positive relationships and teamwork.
17/05/2024
Project-based
Location: Barcelona, Spain Languages Required: Fluent English and Spanish Company Overview: Join a dynamic and innovative company at the forefront of supply chain solutions. They specialise in optimising warehouse operations using cutting-edge technologies, and we are seeking a talented Solution Architect with expertise in Manhattan Warehouse Management System (WMS) implementations to join a team in Barcelona. Job Summary: The Solution Architect will be responsible for designing and implementing warehouse management solutions using Manhattan WMS. This role requires a deep understanding of warehouse operations, strong technical skills, and the ability to communicate effectively in both English and Spanish. The ideal candidate will have a proven track record of successful Manhattan WMS implementations and a passion for driving efficiency and innovation in supply chain processes. Key Responsibilities: Solution Design: Develop comprehensive warehouse management solutions using Manhattan WMS that meet client requirements and industry best practices. Implementation: Lead the implementation of Manhattan WMS, ensuring seamless integration with existing systems and processes. Project Management: Oversee project timelines, budgets, and deliverables, coordinating with cross-functional teams to ensure successful project completion. Client Engagement: Act as the primary point of contact for clients, providing expert advice and ensuring client satisfaction throughout the project life cycle. Technical Leadership: Provide technical guidance and mentorship to junior team members, fostering a collaborative and innovative work environment. Documentation: Create and maintain detailed documentation for solutions, including design specifications, configuration guides, and user manuals. Continuous Improvement: Stay current with industry trends and advancements in warehouse management technologies, continuously seeking opportunities to improve solutions and services. Qualifications: Experience: Minimum of 5 years of experience in implementing Manhattan WMS solutions. Technical Skills: Strong proficiency in Manhattan WMS and related technologies. Experience with SQL, Scripting, and integration tools is a plus. Languages: Fluent in English and Spanish, both written and spoken. Education: Bachelor's degree in Computer Science, Engineering, Supply Chain Management, or a related field. Project Management: Demonstrated experience in managing large-scale projects, with the ability to handle multiple priorities and deadlines. Communication: Excellent verbal and written communication skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. Problem-Solving: Strong analytical and problem-solving abilities, with a focus on delivering innovative and effective solutions. Team Player: Ability to work collaboratively in a team environment, with a strong emphasis on fostering positive relationships and teamwork.
Role Title: Digital Lab Systems Engineer (Test Engineer) Duration: 12 months Location: Harwell, UK (Hybrid) Rate: £300 per day - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role summary The Digital Lab System Engineer will support the delivery of software solutions to enable the operation of laboratory equipment in Quality Control for the QC Labs in Harwell UK. This role will be actively involved in the complete life cycle for laboratory digital solutions. Mainly initial qualification and deployment, but also post-production administration, maintenance activities and system retirement. Here's What You'll Do: Coordinate activities related to the delivery of bench-top laboratory systems for QC Labs in Harwell. Work independently to develop and author System requirements, System Configuration Specification, System Administration SOP, execute test scripts following cGxP. Author, review and approve life cycle documents like Impact assessment, Regulatory applicability and criticality assessments, ERES assessments, etc. Provide administrative support to operate systems and instruments including role management, access management and configuration maintenance. Represent Digital Quality in system validation activities in conjunction with IT Infra, Validation and QA related to implementation of new lab systems and instrument systems and their on-going support. Provide second-tier support to troubleshoot operation and interface of enterprise laboratory systems such as Chromeleon, LIMS, Logilab SDMS, MODA, etc. Provide root cause analysis and triage support to resolve technical issues and deviation investigations related to the operations of lab systems. Participate in the periodic reviews of the systems used in the QC Laboratories, support periodic maintenance activities on the digital systems and assist as digital administrator for the systems. Onsite support will be required. Additional duties may be assigned from time to time. Key Skills/requirements Experience with lab systems, lab instruments or lab automation, implementing and maintaining laboratory systems. Experience authoring and reviewing computer system validation life cycle documents. Experience with CFR21 Part11 and Annex 11 regulations. Good understanding of digital network principles (segmentation, VLANs, Firewall rules). Solid experience with Microsoft Windows environments (client and server). Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong proficiency in English. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
17/05/2024
Project-based
Role Title: Digital Lab Systems Engineer (Test Engineer) Duration: 12 months Location: Harwell, UK (Hybrid) Rate: £300 per day - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role summary The Digital Lab System Engineer will support the delivery of software solutions to enable the operation of laboratory equipment in Quality Control for the QC Labs in Harwell UK. This role will be actively involved in the complete life cycle for laboratory digital solutions. Mainly initial qualification and deployment, but also post-production administration, maintenance activities and system retirement. Here's What You'll Do: Coordinate activities related to the delivery of bench-top laboratory systems for QC Labs in Harwell. Work independently to develop and author System requirements, System Configuration Specification, System Administration SOP, execute test scripts following cGxP. Author, review and approve life cycle documents like Impact assessment, Regulatory applicability and criticality assessments, ERES assessments, etc. Provide administrative support to operate systems and instruments including role management, access management and configuration maintenance. Represent Digital Quality in system validation activities in conjunction with IT Infra, Validation and QA related to implementation of new lab systems and instrument systems and their on-going support. Provide second-tier support to troubleshoot operation and interface of enterprise laboratory systems such as Chromeleon, LIMS, Logilab SDMS, MODA, etc. Provide root cause analysis and triage support to resolve technical issues and deviation investigations related to the operations of lab systems. Participate in the periodic reviews of the systems used in the QC Laboratories, support periodic maintenance activities on the digital systems and assist as digital administrator for the systems. Onsite support will be required. Additional duties may be assigned from time to time. Key Skills/requirements Experience with lab systems, lab instruments or lab automation, implementing and maintaining laboratory systems. Experience authoring and reviewing computer system validation life cycle documents. Experience with CFR21 Part11 and Annex 11 regulations. Good understanding of digital network principles (segmentation, VLANs, Firewall rules). Solid experience with Microsoft Windows environments (client and server). Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong proficiency in English. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Operations Engineer - 3rd Line App Support Akkodis are currently working with a market leading software and solutions provider to recruit an experienced Operations Engineer with extensive application support experience both BAU and project focused. As an Operations Engineer, you will participate in the Support, Deployment and Maintenance of a number of key software products. The Role As an Operations Engineer you will have an excellent understanding of computer systems and a demonstrated willingness to learn and apply new technology. You must possess superior technical aptitude, written and oral communications skills and the ability to deal effectively with people in a wide variety of situations. Additionally, you must possess strong analytical skills with demonstrated problem solving ability. Proven ability to operate in extreme high pressure situations, successfully handle multiple priorities and possess a high level of discipline while remaining flexible. The Requirements Third line application support experience Experience of Microsoft SQL database management systems Experience of web server technologies such as IIS Experience with Windows Server Operating Systems Experience deploying solutions to managed services Experience working successfully under high-pressure Desirable Experience with Azure Experience of patch management deployments/Windows software Update Services Experience with Microsoft clustering, SQL & System Centre Management Experience with SAN/Clustering & High Availability Systems Network and Communication troubleshooting Network Access/Distribution & Core switching design & implementation Firewall and VPN technologies Exposure to domain management and solution design If you are looking for an exciting new challenge to join a leading Operations team and gain continued development and training, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
17/05/2024
Full time
Operations Engineer - 3rd Line App Support Akkodis are currently working with a market leading software and solutions provider to recruit an experienced Operations Engineer with extensive application support experience both BAU and project focused. As an Operations Engineer, you will participate in the Support, Deployment and Maintenance of a number of key software products. The Role As an Operations Engineer you will have an excellent understanding of computer systems and a demonstrated willingness to learn and apply new technology. You must possess superior technical aptitude, written and oral communications skills and the ability to deal effectively with people in a wide variety of situations. Additionally, you must possess strong analytical skills with demonstrated problem solving ability. Proven ability to operate in extreme high pressure situations, successfully handle multiple priorities and possess a high level of discipline while remaining flexible. The Requirements Third line application support experience Experience of Microsoft SQL database management systems Experience of web server technologies such as IIS Experience with Windows Server Operating Systems Experience deploying solutions to managed services Experience working successfully under high-pressure Desirable Experience with Azure Experience of patch management deployments/Windows software Update Services Experience with Microsoft clustering, SQL & System Centre Management Experience with SAN/Clustering & High Availability Systems Network and Communication troubleshooting Network Access/Distribution & Core switching design & implementation Firewall and VPN technologies Exposure to domain management and solution design If you are looking for an exciting new challenge to join a leading Operations team and gain continued development and training, please apply now. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Network engineer - Bilingual (English & Mandarin) Up to £60,000 per annum + benefits Minimum 3 years experience managing CDNs in an MSP Must have CCNP qualification Bi-Lingual in English and Mandarin Spectrum IT has partnered with a global leader in Content delivery networks. With a global network of over 2800 PoPs and more than 20 years of technology expertise, their goal is to ensure that users have the best experience while providing a secure network that fosters the development of the Internet. As part of their continued growth and expansion in the EMEA region they need a network engineer to join their London team. As a network engineer cooperatively manage and support hundreds POP network with dozens of ISPs across the globe, including, but not limited to, POP build out and redesign, BGP optimization, ISP coordination, and daily operations. The must have skills/experience: Bachelor's degree or equivalent in computer science or a similar technical discipline CCNP certified or higher Strong experience in administering a large-scale, highly distributed service network for 24x7 production, preferably for revenue generation and not enterprise support Strong hands-on experience with configuring, maintaining, and troubleshooting a BGP network Strong knowledge of Internet protocols (TCP/IP, HTTP, VPN, etc.) Strong experience with layer 3 routing and layer 2 switching Experience with Ethernet troubleshooting tools and methods A strong detail orientated approach Strong communication skills Beneficial but not essential skills/experience: Bi-Lingual with high level of English and mandarin skills A self-starter who can work with independence and little supervision To apply or hear more about this role, please contact (see below) or call Please note candidates must be UK based and possess a British passport or indefinite leave to remain in the UK. We cannot consider applications from those on PSW visa's or tier 2 spousal visas. This role is open to hybrid working but applications from candidates looking to relocate from abroad or un-commutable distances from the Southampton office cannot be considered. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
17/05/2024
Full time
Network engineer - Bilingual (English & Mandarin) Up to £60,000 per annum + benefits Minimum 3 years experience managing CDNs in an MSP Must have CCNP qualification Bi-Lingual in English and Mandarin Spectrum IT has partnered with a global leader in Content delivery networks. With a global network of over 2800 PoPs and more than 20 years of technology expertise, their goal is to ensure that users have the best experience while providing a secure network that fosters the development of the Internet. As part of their continued growth and expansion in the EMEA region they need a network engineer to join their London team. As a network engineer cooperatively manage and support hundreds POP network with dozens of ISPs across the globe, including, but not limited to, POP build out and redesign, BGP optimization, ISP coordination, and daily operations. The must have skills/experience: Bachelor's degree or equivalent in computer science or a similar technical discipline CCNP certified or higher Strong experience in administering a large-scale, highly distributed service network for 24x7 production, preferably for revenue generation and not enterprise support Strong hands-on experience with configuring, maintaining, and troubleshooting a BGP network Strong knowledge of Internet protocols (TCP/IP, HTTP, VPN, etc.) Strong experience with layer 3 routing and layer 2 switching Experience with Ethernet troubleshooting tools and methods A strong detail orientated approach Strong communication skills Beneficial but not essential skills/experience: Bi-Lingual with high level of English and mandarin skills A self-starter who can work with independence and little supervision To apply or hear more about this role, please contact (see below) or call Please note candidates must be UK based and possess a British passport or indefinite leave to remain in the UK. We cannot consider applications from those on PSW visa's or tier 2 spousal visas. This role is open to hybrid working but applications from candidates looking to relocate from abroad or un-commutable distances from the Southampton office cannot be considered. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Azure Technical Lead - Up to £70k - Reading (3 days a week) - Azure BlackCode Recruitment is working a UK Leading manufacturing business who are looking to add a Azure Technical Lead to join their award winning technology team. I am seeking a dynamic individual to take on the role of Azure Technical Lead, responsible for driving and contributing to the research, design, documentation, and modification of Cloud Infrastructure throughout its production life cycle. The ideal candidate will provide optimal technical solutions across the Azure Infrastructure platforms stack, possessing detailed knowledge and implementation skills of Azure Patterns, Design, and Migration best practices. Skills Hands-on experience with Azure Services, Windows/Linux platform. In depth knowledge with Azure architectures, operations and implementations. In depth knowledge of the Azure computing platform, its many services and dimensions of scalability including but not limited to: Experience working with Automation tools, Cloud management tools Knowledge of federated authentication and authorization models If this Azure Technical Lead could be of interest, please apply!
17/05/2024
Full time
Azure Technical Lead - Up to £70k - Reading (3 days a week) - Azure BlackCode Recruitment is working a UK Leading manufacturing business who are looking to add a Azure Technical Lead to join their award winning technology team. I am seeking a dynamic individual to take on the role of Azure Technical Lead, responsible for driving and contributing to the research, design, documentation, and modification of Cloud Infrastructure throughout its production life cycle. The ideal candidate will provide optimal technical solutions across the Azure Infrastructure platforms stack, possessing detailed knowledge and implementation skills of Azure Patterns, Design, and Migration best practices. Skills Hands-on experience with Azure Services, Windows/Linux platform. In depth knowledge with Azure architectures, operations and implementations. In depth knowledge of the Azure computing platform, its many services and dimensions of scalability including but not limited to: Experience working with Automation tools, Cloud management tools Knowledge of federated authentication and authorization models If this Azure Technical Lead could be of interest, please apply!
This is a great opportunity to be part of one of the fastest growing, cutting-edge Storage and Infrastructure vendor in the market. They are building enterprise software infrastructure, aimed to take the cost and complexity out of deploying enterprise and AI infrastructure across data center and cloud. They have a customer-first mentality and are now looking for an experienced Senior Linux and Storage Engineer to act as a product expert and as such, be involved in daily technical operations and escalations, working on customer site in London. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customers and the development team. The Role: Onsite at the customer in London Accountable to complete daily technical operations and escalations including direct work on technical support issues to full resolution and closure requiring interfacing with customer and development teams Perform customer installations, upgrades, and expansions Lead and coordinate regular monthly and quarterly customer review meetings Become a product expert Trusted Advisor to customer technical team and internal account team Identify opportunities to provide continuous improvement for customers to ensure full adoption of their products Requirements: Overall 5+ years of experience in customer-facing, post-sale positions working with complex storage solutions Knowledge and working experience in common Linux system administration tasks and Linux OS in general Good understanding of networking, and working experience with network configurations on Linux and network troubleshooting Scripting and programming - bash Scripting is required, and familiar with one or more other programming language DevOps/Automation knowledge Significant experience required in the areas of file systems and scale-out NAS Implementation - NFS Excellent business written and verbal communication and presentation skills You will be fully trained on our client's product portfolio, allowing you to become an SME. You will share in the companies success and will be offered very exciting Stock Options coupled with a comprehensive package and have the chance of working for the fastest growing software company in the market. Please apply now to have the opportunity to contribute to a pivotal moment in computing history and be part of a team that values innovation and customer-first mentality.
17/05/2024
Full time
This is a great opportunity to be part of one of the fastest growing, cutting-edge Storage and Infrastructure vendor in the market. They are building enterprise software infrastructure, aimed to take the cost and complexity out of deploying enterprise and AI infrastructure across data center and cloud. They have a customer-first mentality and are now looking for an experienced Senior Linux and Storage Engineer to act as a product expert and as such, be involved in daily technical operations and escalations, working on customer site in London. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customers and the development team. The Role: Onsite at the customer in London Accountable to complete daily technical operations and escalations including direct work on technical support issues to full resolution and closure requiring interfacing with customer and development teams Perform customer installations, upgrades, and expansions Lead and coordinate regular monthly and quarterly customer review meetings Become a product expert Trusted Advisor to customer technical team and internal account team Identify opportunities to provide continuous improvement for customers to ensure full adoption of their products Requirements: Overall 5+ years of experience in customer-facing, post-sale positions working with complex storage solutions Knowledge and working experience in common Linux system administration tasks and Linux OS in general Good understanding of networking, and working experience with network configurations on Linux and network troubleshooting Scripting and programming - bash Scripting is required, and familiar with one or more other programming language DevOps/Automation knowledge Significant experience required in the areas of file systems and scale-out NAS Implementation - NFS Excellent business written and verbal communication and presentation skills You will be fully trained on our client's product portfolio, allowing you to become an SME. You will share in the companies success and will be offered very exciting Stock Options coupled with a comprehensive package and have the chance of working for the fastest growing software company in the market. Please apply now to have the opportunity to contribute to a pivotal moment in computing history and be part of a team that values innovation and customer-first mentality.
Project Engineer - AV - Remote working We urgently require a Project Engineer with a passion for audiovisual (AV) technology and a track record of designing, implementing, and managing complex AV projects from conception to completion. The Project Engineer will run the engineering aspects of our clients projects in partnership with a lead Project Manager working closely with the Operations team to engineer solutions from concept design to reality. Key Responsibilities: Competency using AutoCAD to produce schematics, plans and elevation drawings Work on multiple projects within budgeted cost and to the satisfaction of the client Work closely with the Project Manager and Lead Installer to successfully deliver the project Produce technical information and engineering documentation for internal use, external contractors and clients Working closely with the client and clients general contractor to provide appropriate plans for hardware placement Provide technical sign off and testing on projects Qualifications: Excellent understanding of Corporate AV Solutions and the current portfolio of corporate AV products Competent using AutoCAD to produce schematics, plans and elevation drawings and with the MS suite of products Experienced commissioner of AV products including Biamp, QSC and other major brands Excellent communication and collaboration skills with the ability to communicate across all levels from clients to building contractors. CTS qualification would be advantageous.
17/05/2024
Project-based
Project Engineer - AV - Remote working We urgently require a Project Engineer with a passion for audiovisual (AV) technology and a track record of designing, implementing, and managing complex AV projects from conception to completion. The Project Engineer will run the engineering aspects of our clients projects in partnership with a lead Project Manager working closely with the Operations team to engineer solutions from concept design to reality. Key Responsibilities: Competency using AutoCAD to produce schematics, plans and elevation drawings Work on multiple projects within budgeted cost and to the satisfaction of the client Work closely with the Project Manager and Lead Installer to successfully deliver the project Produce technical information and engineering documentation for internal use, external contractors and clients Working closely with the client and clients general contractor to provide appropriate plans for hardware placement Provide technical sign off and testing on projects Qualifications: Excellent understanding of Corporate AV Solutions and the current portfolio of corporate AV products Competent using AutoCAD to produce schematics, plans and elevation drawings and with the MS suite of products Experienced commissioner of AV products including Biamp, QSC and other major brands Excellent communication and collaboration skills with the ability to communicate across all levels from clients to building contractors. CTS qualification would be advantageous.
Microsoft Dynamics 365 - Finance & Supply Chain Management Hybrid/Remote Roles and Responsibilities: As a D365 F&SCM Architect/Developer specialising in Microsoft Business Application Technology, you will lead the development of all aspects of the technical/functional architecture and design for complex change projects/programmes. This will involve developing high-level designs/solution blueprints and managing their translation into low-level designs. As a Solution Architect, you will be expected to work concurrently on a portfolio of programmes, projects, and consultancy engagements. Work alongside technical architects and integration leads to craft power App solutions for interactions within D365 applications. Keep Senior Developers/Integration Leads/Technical Architects/Project Managers in the loop with regular progress updates and insights into any risks or challenges. Dive into technical design documents and integration design documents to ensure developments align with requirements. Contribute to development activities within assigned project teams, addressing known integrations and technical gaps. Adhere to best practices and guidelines, ensuring all code undergoes peer review and is thoroughly documented. Support regular quality audits for Implementation Programmers related to D365 F&SCM. Participate in routine meetings with technical team leads to share updates on workload and performance. Understand the performance implications of development techniques to be employed. Raise any risks or concerns promptly to senior team members. Preferred Qualifications: Microsoft Dynamics 365 Certifications Bachelor's Degree in Computer Science, Computer Engineering, or a related field. Required Skills and Experience. Experience in business processes, including Finance, Manufacturing, Retail and Supply Chain. Dynamics 365 F&SCM/Finance and Operations. Proficiency in Power Automate. Enterprise Architecture principles and standards. Proficiency in T SQL Scripting/development. Ability to write detailed technical documentation clearly and concisely. Understanding of security design principles for D365 F&SCM and Azure components, including authorisation mechanisms. Desirable Skills: Microsoft Certifications Familiarity with Azure Data Factory. Knowledge of TFVC/Git and development control rules/processes. Familiarity with C#, X , Code Proficient in related technologies such as Microsoft Stack, M365, SharePoint, Microsoft Azure and Power BI Requirement: You must have the following visas/right to work to be eligible for this position: British Citizen, ILR, Dependant Visa, Pre-settled status etc. You must be UK-based to apply for this role. *If you don't have the right to work in the UK or are not located in the UK, you will be automatically rejected from the process due to client requirements. Apply Today!
17/05/2024
Full time
Microsoft Dynamics 365 - Finance & Supply Chain Management Hybrid/Remote Roles and Responsibilities: As a D365 F&SCM Architect/Developer specialising in Microsoft Business Application Technology, you will lead the development of all aspects of the technical/functional architecture and design for complex change projects/programmes. This will involve developing high-level designs/solution blueprints and managing their translation into low-level designs. As a Solution Architect, you will be expected to work concurrently on a portfolio of programmes, projects, and consultancy engagements. Work alongside technical architects and integration leads to craft power App solutions for interactions within D365 applications. Keep Senior Developers/Integration Leads/Technical Architects/Project Managers in the loop with regular progress updates and insights into any risks or challenges. Dive into technical design documents and integration design documents to ensure developments align with requirements. Contribute to development activities within assigned project teams, addressing known integrations and technical gaps. Adhere to best practices and guidelines, ensuring all code undergoes peer review and is thoroughly documented. Support regular quality audits for Implementation Programmers related to D365 F&SCM. Participate in routine meetings with technical team leads to share updates on workload and performance. Understand the performance implications of development techniques to be employed. Raise any risks or concerns promptly to senior team members. Preferred Qualifications: Microsoft Dynamics 365 Certifications Bachelor's Degree in Computer Science, Computer Engineering, or a related field. Required Skills and Experience. Experience in business processes, including Finance, Manufacturing, Retail and Supply Chain. Dynamics 365 F&SCM/Finance and Operations. Proficiency in Power Automate. Enterprise Architecture principles and standards. Proficiency in T SQL Scripting/development. Ability to write detailed technical documentation clearly and concisely. Understanding of security design principles for D365 F&SCM and Azure components, including authorisation mechanisms. Desirable Skills: Microsoft Certifications Familiarity with Azure Data Factory. Knowledge of TFVC/Git and development control rules/processes. Familiarity with C#, X , Code Proficient in related technologies such as Microsoft Stack, M365, SharePoint, Microsoft Azure and Power BI Requirement: You must have the following visas/right to work to be eligible for this position: British Citizen, ILR, Dependant Visa, Pre-settled status etc. You must be UK-based to apply for this role. *If you don't have the right to work in the UK or are not located in the UK, you will be automatically rejected from the process due to client requirements. Apply Today!
Our client has an exciting opportunity for a skilled and collaborative Connectivity & Network Engineer to join our inclusive team. This Full time hybrid role is based in Manchester and Barrow in Furness on a hybrid basis and offers a salary of £50k and excellent benefits. As a Connectivity & Network Engineer, you will be joining an established Network Operations team working with other Network engineers. You'll be involved in internal and vendor technical bridges and be expected to work independently and as part of a wider team. In your first few weeks in this role, you can expect to work in these areas: Level 3 Network support Network incident diagnostics/resolution Network change implementation via requests made via ITSM Troubleshooting and fault-finding complex routing issues (BGP, OSPF and EIGRP). To apply for this Connectivity & Network Engineer role, your soft skills, expertise and experience should include: Deep understanding of networking protocols (eg, IPSEC, HSRP, BGP, OSPF, EIGRP) and network management tools like SolarWinds Knowledge of Citrix Netscaler and Network Firewalls (Palo Alto, Cisco Firepower, Cisco ASA and AnyConnect Remote Access) Experience with Identity Services - AAA and Cisco ISE. In return for your dedication, collaboration and commitment, you'll receive a salary of £50,000 and a generous benefits package, joining a welcoming and inclusive culture. If this Full time hybrid Connectivity & Network Engineer job in Manchester motivates and inspires you, please contact Deerfoot IT Recruitment today. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
17/05/2024
Full time
Our client has an exciting opportunity for a skilled and collaborative Connectivity & Network Engineer to join our inclusive team. This Full time hybrid role is based in Manchester and Barrow in Furness on a hybrid basis and offers a salary of £50k and excellent benefits. As a Connectivity & Network Engineer, you will be joining an established Network Operations team working with other Network engineers. You'll be involved in internal and vendor technical bridges and be expected to work independently and as part of a wider team. In your first few weeks in this role, you can expect to work in these areas: Level 3 Network support Network incident diagnostics/resolution Network change implementation via requests made via ITSM Troubleshooting and fault-finding complex routing issues (BGP, OSPF and EIGRP). To apply for this Connectivity & Network Engineer role, your soft skills, expertise and experience should include: Deep understanding of networking protocols (eg, IPSEC, HSRP, BGP, OSPF, EIGRP) and network management tools like SolarWinds Knowledge of Citrix Netscaler and Network Firewalls (Palo Alto, Cisco Firepower, Cisco ASA and AnyConnect Remote Access) Experience with Identity Services - AAA and Cisco ISE. In return for your dedication, collaboration and commitment, you'll receive a salary of £50,000 and a generous benefits package, joining a welcoming and inclusive culture. If this Full time hybrid Connectivity & Network Engineer job in Manchester motivates and inspires you, please contact Deerfoot IT Recruitment today. Deerfoot IT Resources Ltd is one of the UK's leading IT Recruitment Agencies, trusted by many of the UK's leading employers. Established in 1997, we have over 25 years of experience as IT Recruitment Specialists. We will never send your CV anywhere without your authorisation and only after you have seen the complete details of this opportunity. Deerfoot is acting as an employment agency for permanent hires and an employment business for contingency hires. Each time Deerfoot sends a CV to a recruiting client, we donate £1 to The Born Free Foundation (). Deerfoot is also climate-positive in partnership with Ecologi. Deerfoot IT Resources Ltd is acting as an Employment Agency in relation to this vacancy.
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
17/05/2024
Full time
Job Title: Technology Architect Location: UK/London, Remote Salary : 80-90K Contract Type: Full Time About The Company You will be joining a team of creators and champions of the best British TV, and hosts to the world's largest collection. Who are on a mission to bring the most engaging and relevant British TV experience to fans all around the world. Job Purpose This creative company is on the lookout for a dynamic Technology Architect to join their passionate team, focusing on creating and refining scalable video streaming products with a global scope. This pivotal role is Embedded within a diverse and skilled team, where creativity, collaboration, and a commitment to quality are highly valued. As a Technology Architect, you'll play a crucial role in both contributing to and shaping the team's strategy and technological direction. Your responsibilities will include working closely with the Lead Solution Architect in a hands-on capacity, directly influencing and shaping their pioneering global video streaming services. You'll engage in various projects, from enhancing current streaming platforms to designing innovative solutions for global content delivery, ensuring that the organisation continue to offer top tier streaming experiences. A Technical Architect would: Have a solid understanding of cloud services like AWS or MSFT Azure and how they can be leveraged in different scenarios. Translate technical requirements into detailed architecture for robust and scalable systems. Work closely with development teams to understand their needs and assist in implementing CI/CD pipelines. Have experience with software development processes and be able to guide and support teams in adhering to best practices. Act as a bridge between the technical team and the Lead Solution Architect, ensuring that the technical details align with the overall solution architecture. Responsibilities Technical Leadership Collaborate closely with the Lead Architect and act as a key member in technology sessions, providing technical expertise and oversight on new and existing solutions. Oversee 3rd party application architectures and integration's while ensuring best practices and compliance with corporate policies and standards. Demonstrate the ability to work autonomously, taking direction and executing with precision. Provide technical oversight to product development, support, and quality assurance teams. Analyse existing systems and identify areas for improvement or optimization. Evaluate new technologies and trends to propose enhancements or updates to the current systems. Knowledge and experience with specific technologies and tools, such as Kubernetes, Docker, .Net, Python, or Node.js, are highly desirable. Business & Analysis Monitor service operations performance, ensuring core KPIs are met. Oversee SLA reporting and conduct ad hoc analysis, providing transparency into the global technology stack's performance. Act as an internal technology consultant, leading and managing strategic projects with a proactive approach. Collaborate across all stakeholder teams to understand business needs and goals. Document and prioritise requirements alongside the product team, with consideration for both functional and non-functional aspects. Develop detailed use cases and user stories that outline specific interactions and workflows. Skills and Personal Attributes Strong analytical skills to assess and resolve issues quickly and effectively. Demonstrable experience in Software Engineering and Architecture. Ability to translate business and operational requirements into solution designs. Strong communication skills and the ability to work autonomously given direction. Proactivity and a strong desire to take initiative. Familiarity with Agile working practices. Willingness to learn and adapt to new technologies and changes. Effectively managing one's own time and prioritising tasks to meet deadlines. Understanding and respect for diverse cultures and practices. Qualifications and Experience AWS Certified Solutions Architect-Associate or Professional is highly desirable. Mid-level experience in software design patterns and cloud-based solutions. Must have experience with AWS; knowledge of Azure is a plus. Experience in developing direct-to-consumer technologies and cloud-scale microservices development. Experience with OTT (Over-The-Top) is a strong plus. Knowledge of scalable digital consumer product architectures, preferably in SVOD and/or media supply chain areas Familiarity with connected TV platforms (Roku, tvOS, Samsung, LG, etc.) and mobile applications (iOS, Android), with an emphasis on understanding their architectures and integrations rather than hands-on development. If you are looking for a new opportunity and interested in thus role then please apply today! Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy.
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
17/05/2024
Full time
We have an exciting opportunity to join a leading System Integrator and Professional Services Consulting firm working in the Microsoft Applications and Cloud Engineering team. Your role as a Microsoft Dynamics 365 FinOps Architectwill be to help to grow pre-sales drive growth across Microsoft Dynamics 365, Power Platform and Microsoft Azure. You will form part of a team that helps to shape future projects and client engagements by identifying new opportunities for Dynamics 365 Finance and Operations implementations. The Microsoft Dynamics 365 FinOps Architectwill be working with people ranging in experience, from early and emerging talent to specialists. Our clients are looking for bright people with a passion for Microsoft technology and the benefits it brings to our clients. And someone who has a consultative nature that can help customers on their journey to adopting Dynamics 365 Finance and Operations. The Microsoft Dynamics 365 FinOps Architect will benefit from training and development and have a customer base of clients across multiple industries (Retail, Utilities, Manufacturing, Transport and Health). The Microsoft Dynamics 365 FinOps Architectrole is pre-sales/early delivery focused, working directly with sales and delivery colleagues. This role will include Identify business opportunities within existing clients and build a portfolio of new customers. Building sales content and work with sales and marketing teams to highlight the practices capabilities in Dynamics 365 Finance and Operations and the business value and benefits organisations can achieve from using it. Preparing and deliver demos and POCs to technical and non-technical stakeholders, including c-suite. Acting as solution lead on sales engagements and set architecture best practices and processes as well as high-level and low-level solution design of end-to-end Dynamics 365 FinOps projects. Supporting estimation and planning for bid responses, and be a trusted advisor for colleagues and client stakeholders, building strong relationships and customer trust. The Microsoft Dynamics 365 FinOps Architect should demonstrate the following experience and capabilities Energy and excitement about the technologies and capabilities provided by Dynamics 365 and the Power Platform with great drive engagement and adoption, consulting and leadership skills to form strong and lasting relationships with clients and colleagues and to drive growth. Full implementation life cycle experience of ERP based programmes within Microsoft Dynamics 365 and the Power Platform, with knowledge of software engineering best practices and limitation with Dynamics 365 FinOps as well as Microsoft Dynamics CRM SDK, X , C#, Visual Studio and Team Foundation Server. Advise on Continuous Integration (CI) and Continuous Delivery (CD) options available to Dynamics 365 FinOps projects. Working knowledge of Microsoft Dynamics 365 CE, Power Platform and Azure to enable a best fit approach to every solution. A passion for delivering according to an agile methodology, planning projects and releases following scrum. There is a hybrid working model with good WFH opportunities, however the Microsoft Dynamics 365 FinOps Architect should be flexible and UK mobile but can live anywhere in the UK . Any required travel will be expensed. The Microsoft Dynamics 365 FinOps Architectmust have full rights to work in the UK without requiring work permit sponsorship and should also be eligible for Security clearance applications, this means we require British/dual nationals with no travel outside of the UK for over 28 consecutive days over the past 5 years period. If you are unsure on this please apply and we can discuss further. If you have read this far and you have some of the skills required, please send your CV and lets talk!
Job Title: Major Incident Manager/ITSM Process lead Location: London, UK Work Mode: Remote (When required need to travel to Mphasis London office) Years of Experience Needed: - Candidate should have 7+ years of in Incident management along with Change and other reporting module. Technical Skill: - Strong communication, interpersonal and presentation skills for working with teams at all levels including client stakeholders. Prior experience of Major Incident and other ITSM processes Strong knowledge on Service Now - mainly in Problem, Change, Major Incident and Reporting modules. Excellent leadership skills and ability to collaborate with team members. Experience of working with teams in India. Ability to analyse a high volume of technical data and work in a fast-paced environment. Strong problem solving, analytical, and time management skills. Ability to work to deadlines including attention to detail and multitasking skills Non-Technical Skill: Providing high quality, professional major incident management as part of a 24x7, 365 Major Incident Management team. Quickly understanding customer issues from a business impact perspective, draw logical conclusions, make sensible suggestions that meet both the Mphasis strategic direction and customers' needs and engage other vendors/suppliers to support. Responsible for assessing situations, making appropriate interventions, managing resolution activities, and communicating this to both technical and non-technical stakeholders both within Mphasis, Client and 3rd Parties. Ensure major incidents are managed effectively, managing the expectations for stakeholders, and acting as a point of contact for business areas using language understood by those stakeholders. Manage and report on core ITSM processes such as Incident, Problem, Change, Service Level management. Subject Matter Expert (SME) in the specific process area, representing the process to all stakeholders, reporting on performance, and developing recommendations for continual service improvement. Supporting and nurturing process improvements and knowledge base improvements Contributing to the objectives of the wider Service Management and Operations team. Certification: - ITIL Foundation Certification
17/05/2024
Full time
Job Title: Major Incident Manager/ITSM Process lead Location: London, UK Work Mode: Remote (When required need to travel to Mphasis London office) Years of Experience Needed: - Candidate should have 7+ years of in Incident management along with Change and other reporting module. Technical Skill: - Strong communication, interpersonal and presentation skills for working with teams at all levels including client stakeholders. Prior experience of Major Incident and other ITSM processes Strong knowledge on Service Now - mainly in Problem, Change, Major Incident and Reporting modules. Excellent leadership skills and ability to collaborate with team members. Experience of working with teams in India. Ability to analyse a high volume of technical data and work in a fast-paced environment. Strong problem solving, analytical, and time management skills. Ability to work to deadlines including attention to detail and multitasking skills Non-Technical Skill: Providing high quality, professional major incident management as part of a 24x7, 365 Major Incident Management team. Quickly understanding customer issues from a business impact perspective, draw logical conclusions, make sensible suggestions that meet both the Mphasis strategic direction and customers' needs and engage other vendors/suppliers to support. Responsible for assessing situations, making appropriate interventions, managing resolution activities, and communicating this to both technical and non-technical stakeholders both within Mphasis, Client and 3rd Parties. Ensure major incidents are managed effectively, managing the expectations for stakeholders, and acting as a point of contact for business areas using language understood by those stakeholders. Manage and report on core ITSM processes such as Incident, Problem, Change, Service Level management. Subject Matter Expert (SME) in the specific process area, representing the process to all stakeholders, reporting on performance, and developing recommendations for continual service improvement. Supporting and nurturing process improvements and knowledge base improvements Contributing to the objectives of the wider Service Management and Operations team. Certification: - ITIL Foundation Certification
Python Developers join our team as a Python Expert. You will be responsible for developing and maintaining software applications and databases to support complex financial operations, and supporting the work of financial institutions responsible for financial stability across Europe. This role is avaliable as a fully remote position, however work must be compelted within the European Union. Interested? Share your Europass CV, showing your fit with the following requirements: 6+ years of experience in software engineering with Python and SQL in a professional environment. Bachelor's degree in information technology, Mathematics, Physics, or similar field, and/or equivalent professional experience. Experience with continuous integration and continuous delivery pipelines, such as Jenkins, Azure Pipelines. Good understanding of a cloud-based microservice architecture, Experience with specialized Python data management libraries, including SQLAlchemy, DBT, Airflow/Luigi, Pandera. Practical experience with SQL database development and data domain modelling. Good technical writing and documentation skills. Fluent English If you have a passion for Python development and are looking for a challenging opportunity, this company wants to hear from you!
16/05/2024
Full time
Python Developers join our team as a Python Expert. You will be responsible for developing and maintaining software applications and databases to support complex financial operations, and supporting the work of financial institutions responsible for financial stability across Europe. This role is avaliable as a fully remote position, however work must be compelted within the European Union. Interested? Share your Europass CV, showing your fit with the following requirements: 6+ years of experience in software engineering with Python and SQL in a professional environment. Bachelor's degree in information technology, Mathematics, Physics, or similar field, and/or equivalent professional experience. Experience with continuous integration and continuous delivery pipelines, such as Jenkins, Azure Pipelines. Good understanding of a cloud-based microservice architecture, Experience with specialized Python data management libraries, including SQLAlchemy, DBT, Airflow/Luigi, Pandera. Practical experience with SQL database development and data domain modelling. Good technical writing and documentation skills. Fluent English If you have a passion for Python development and are looking for a challenging opportunity, this company wants to hear from you!