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.
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!
Oracle DBA Location: Remote with occasional travel to London £300 - £350 Inside IR35 MUST hold SC Clearance Role Overview: Join as a DBA specializing in Oracle and Postgres. This pivotal role involves managing and executing the migration of Oracle databases to an AWS cloud environment. Your extensive AWS cloud skills and deep understanding of Oracle database technologies, including AWS RDS for Oracle, will be crucial. You will be at the forefront of strategic shift towards cloud-based infrastructure, playing a vital role in modernizing Digital Screening services. Key Responsibilities: Lead the migration of Oracle databases to AWS Utilize AWS RDS for Oracle to manage cloud-based database environments Support the digital transformation initiatives Collaborate with cross-functional teams to ensure seamless database operations Implement best practices for database security and performance Requirements: Extensive experience with AWS cloud services In-depth knowledge of Oracle database technologies Proven track record of successful database migrations to cloud environments SC Clearance required Apply Now!
17/05/2024
Project-based
Oracle DBA Location: Remote with occasional travel to London £300 - £350 Inside IR35 MUST hold SC Clearance Role Overview: Join as a DBA specializing in Oracle and Postgres. This pivotal role involves managing and executing the migration of Oracle databases to an AWS cloud environment. Your extensive AWS cloud skills and deep understanding of Oracle database technologies, including AWS RDS for Oracle, will be crucial. You will be at the forefront of strategic shift towards cloud-based infrastructure, playing a vital role in modernizing Digital Screening services. Key Responsibilities: Lead the migration of Oracle databases to AWS Utilize AWS RDS for Oracle to manage cloud-based database environments Support the digital transformation initiatives Collaborate with cross-functional teams to ensure seamless database operations Implement best practices for database security and performance Requirements: Extensive experience with AWS cloud services In-depth knowledge of Oracle database technologies Proven track record of successful database migrations to cloud environments SC Clearance required Apply Now!
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.
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.
Cloud Operations Engineer Looking for a DevOps engineer interested in a challenging and rewarding opportunity? My client, based in the South West, is actively hiring for a mid-level DevOps professional to join their team. The Role: You'll play a key part in an ambitious cloud migration project, transitioning the company's existing AWS infrastructure to Azure over the next 12 months. Working closely with the lead DevOps engineer, you'll be involved in every stage of the migration process, from inception through to implementation. Your Responsibilities: Collaborate with cross-functional teams to plan, design, and execute the migration strategy Leverage experience in AWS and Azure to ensure a smooth and efficient transition Automate deployment processes and implement DevOps best practices Contribute to the continuous improvement of the company's cloud infrastructure What You'll Bring: Proven experience in DevOps principles and methodologies Strong proficiency in AWS and Azure cloud platforms Expertise in containerisation technologies (Docker, Kubernetes) Familiarity with configuration management tools (Ansible, Terraform) Excellent problem-solving and analytical skills A collaborative and team-oriented mindset What We Offer: Competitive salary with a top banding of £70,000 Flexible working arrangements, with occasional on-site presence required (1-2 days per month) Opportunity to be part of a cutting-edge cloud migration project Continuous professional development and growth opportunities Collaborative and supportive work environment If you're excited about this challenge and have experience with this technology, I'd love to hear from you. Please apply apply below or email me at (see below) with your CV and we can set up a call. Cloud Operations Engineer
17/05/2024
Full time
Cloud Operations Engineer Looking for a DevOps engineer interested in a challenging and rewarding opportunity? My client, based in the South West, is actively hiring for a mid-level DevOps professional to join their team. The Role: You'll play a key part in an ambitious cloud migration project, transitioning the company's existing AWS infrastructure to Azure over the next 12 months. Working closely with the lead DevOps engineer, you'll be involved in every stage of the migration process, from inception through to implementation. Your Responsibilities: Collaborate with cross-functional teams to plan, design, and execute the migration strategy Leverage experience in AWS and Azure to ensure a smooth and efficient transition Automate deployment processes and implement DevOps best practices Contribute to the continuous improvement of the company's cloud infrastructure What You'll Bring: Proven experience in DevOps principles and methodologies Strong proficiency in AWS and Azure cloud platforms Expertise in containerisation technologies (Docker, Kubernetes) Familiarity with configuration management tools (Ansible, Terraform) Excellent problem-solving and analytical skills A collaborative and team-oriented mindset What We Offer: Competitive salary with a top banding of £70,000 Flexible working arrangements, with occasional on-site presence required (1-2 days per month) Opportunity to be part of a cutting-edge cloud migration project Continuous professional development and growth opportunities Collaborative and supportive work environment If you're excited about this challenge and have experience with this technology, I'd love to hear from you. Please apply apply below or email me at (see below) with your CV and we can set up a call. Cloud Operations Engineer
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!
Senior Cloud Network Engineer Permanent, 3 days in office in London Overview: The Company is a leading financial services firm. The technology is being transformed to a Cloud-First, Cloud-Native architectural model, utilizing DevSecOps processes and adoption of systems-thinking concepts to enhance productivity. The Cloud Network Engineer are responsible for delivering modern end user solutions that are fully automated through code, ensuring scalability and optimize availability and reliability 24/7. Responsibilities: Engineer and secure core Azure platform services across global footprint. Go deep on Cloud Network Engineer, adopting Zero Trust Architecture principles. Engineer and maintain Cloud Secure Web Gateways, Next-Gen CASB solutions Advance branch/SD-WAN solution to optimise network performance and connectivity. Colloborate with other areas of engineering and Service operations to ensure the successful integration of SSE/SASE Automate every operational aspect of infrastructure and systems life cycle Respond to incidents. Run Infrastructure with Python/PowerShell, Ansible, Terraform, Azure DevOps, CI/CD, Kubernetes. Design, build and maintain core infrastructure. Debub production issues Requirements: Strong experience in Windows Servers, Virtulisation, Containerisation tech on Azure Proficiency in Object Oriented programming and developing automated solutions through code. Experience in configuration management systems like Ansible Passion for network security and desire to protect organisations from cyber threats. Keen on Open Source development. Collaborative and able to communicate effectively and asynchronously.
16/05/2024
Full time
Senior Cloud Network Engineer Permanent, 3 days in office in London Overview: The Company is a leading financial services firm. The technology is being transformed to a Cloud-First, Cloud-Native architectural model, utilizing DevSecOps processes and adoption of systems-thinking concepts to enhance productivity. The Cloud Network Engineer are responsible for delivering modern end user solutions that are fully automated through code, ensuring scalability and optimize availability and reliability 24/7. Responsibilities: Engineer and secure core Azure platform services across global footprint. Go deep on Cloud Network Engineer, adopting Zero Trust Architecture principles. Engineer and maintain Cloud Secure Web Gateways, Next-Gen CASB solutions Advance branch/SD-WAN solution to optimise network performance and connectivity. Colloborate with other areas of engineering and Service operations to ensure the successful integration of SSE/SASE Automate every operational aspect of infrastructure and systems life cycle Respond to incidents. Run Infrastructure with Python/PowerShell, Ansible, Terraform, Azure DevOps, CI/CD, Kubernetes. Design, build and maintain core infrastructure. Debub production issues Requirements: Strong experience in Windows Servers, Virtulisation, Containerisation tech on Azure Proficiency in Object Oriented programming and developing automated solutions through code. Experience in configuration management systems like Ansible Passion for network security and desire to protect organisations from cyber threats. Keen on Open Source development. Collaborative and able to communicate effectively and asynchronously.
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!
Are you an experienced SAP Finance Consultant with a knack for navigating complex implementations? Are you passionate about regulatory reporting and ready to lead the way in the Explore Phase of S/4 HANA Finance? About Us: We're a dynamic team at the forefront of innovation, dedicated to revolutionizing finance operations with SAP S/4 HANA. With a focus on the Oil and Gas sector, we're committed to driving results and making a real impact in the industry. Role Overview: As our Lead FERC Consultant, you'll be responsible for guiding our team through Fit-to-Standard workshops, collecting business requirements, and designing solutions. With a 100% remote delivery mode, you'll enjoy flexibility while collaborating with cross-functional teams to deliver high-quality results. Must-Haves: Minimum of 3 SAP Finance implementations Strong FERC experience and regulatory reporting expertise Deep understanding of New Asset Accounting in S/4HANA Excellent troubleshooting and documentation skills Nice-to-Haves: SAP implementation experience in the Oil and Gas industry Familiarity with SAP Activate Methodology Experience with Solution Manager or Cloud ALM Why Join Us? Make a meaningful impact in a dynamic industry Opportunity for professional growth and development Flexible remote work arrangement Exposure to cutting-edge technology If you're ready to take on a new challenge and be part of something truly special, we want to hear from you.
16/05/2024
Project-based
Are you an experienced SAP Finance Consultant with a knack for navigating complex implementations? Are you passionate about regulatory reporting and ready to lead the way in the Explore Phase of S/4 HANA Finance? About Us: We're a dynamic team at the forefront of innovation, dedicated to revolutionizing finance operations with SAP S/4 HANA. With a focus on the Oil and Gas sector, we're committed to driving results and making a real impact in the industry. Role Overview: As our Lead FERC Consultant, you'll be responsible for guiding our team through Fit-to-Standard workshops, collecting business requirements, and designing solutions. With a 100% remote delivery mode, you'll enjoy flexibility while collaborating with cross-functional teams to deliver high-quality results. Must-Haves: Minimum of 3 SAP Finance implementations Strong FERC experience and regulatory reporting expertise Deep understanding of New Asset Accounting in S/4HANA Excellent troubleshooting and documentation skills Nice-to-Haves: SAP implementation experience in the Oil and Gas industry Familiarity with SAP Activate Methodology Experience with Solution Manager or Cloud ALM Why Join Us? Make a meaningful impact in a dynamic industry Opportunity for professional growth and development Flexible remote work arrangement Exposure to cutting-edge technology If you're ready to take on a new challenge and be part of something truly special, we want to hear from you.
Request Technology - Craig Johnson
New York, New York
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
15/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. 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. 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. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
14/05/2024
Full time
Director, AI and Data Science Salary: Open + Bonus Available in any of the following locations: Chicago, IL/Houston, TX/Salt Lake City, UT Hybrid: 3 days onsite, 2 days remote *We are unable to provide sponsorship for this role* Qualifications Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. 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. 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. 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. 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. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). 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. Responsibilities Lead and expand the strategic vision for deploying AI and advanced analytics 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.
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.
14/05/2024
Full time
*Hybrid, 3 days onsite, 2 days remote* *We are unable to sponsor as this is a permanent Full time role* A prestigious company is looking for a Director of AI and Data Science. This director will need at least 10 years of experience developing and deploying AI solutions and models. This director will need strong management experience and ideally have a consulting background with large enterprise companies. 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. 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. 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. 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. Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain.