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-caliber, 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 lifecycle 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.
04/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
04/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
04/05/2024
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-caliber, 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 lifecycle 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
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-caliber, 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 lifecycle 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.
03/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
03/05/2024
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-caliber, 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 lifecycle 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-caliber, 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 lifecycle 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.
03/05/2024
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-caliber, 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 lifecycle 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.
Human Factors Engineer - Hybrid Role JOB LOCATION: Stevenage/Bristol (HYBRID) SECURITY CLEARANCE LEVEL - SC DURATION: 12 Months Minimum WORK PATTERN: Hybrid Working (Due to project specs, may be needed some weeks fully onsite, then some fully remote). PAY RATE: £80 - £90 Per Hour Umbrella Inside IR35 Essential QUALIFICATIONS Essential- Chartered member of the Ergonomics & HF Society (CIEHF). TARGET INDUSTRIES AND COMPANIES. Is Defence a must? If not what industries can be considered Defence/Aerospace is preferable. ALTERNATIVE JOB TITLES IN OTHER COMPANIES OR INDUSTRIES (Human Factors Engineer OR Human Factors Consultant OR Human Factors Specialist OR Human Factors Scientist OR UX Professional) Overview: The military operating environment is becoming more complex and new technological capabilities are required to ensure operational advantage. We believe that integration of Human Factors is critical to the development of safe, usable and effective weapon systems. The Human Factors department is responsible for ensuring that user capability is fully considered in the weapon system, from initial concept design through development and delivery to the customer. You will be joining a team recognised by UK MoD as an industry leader in the delivery of Human Factors Integration where you be able to influence systems as they develop from concept to delivery and gain first-hand experience of working with military users. Our team work transversally across MBDAs projects through the development life cycle providing capabilities to users across Land, Air and Sea with ongoing projects across Battlefield, Surface Attack, Deep Strike & Air Defence domains. As a partner in FCAS AP we are also at the heart of providing the effects element of the Future Combat Air System (FCAS). Responsibilities: In your role you will be able to directly influence the development of these technologies, engaging directly with the user from early concept through to delivery ensuring that the human-machine relationship is optimised. We are looking for a highly capable, versatile and enthusiastic Human Factors Engineer to undertake a full range of Human Factors tasks across weapon system concepting, development and research activities. Responsibilities include: Conduct of Human Factors Integration through the development life cycle providing progressive assurance to the customer as per Def Stan 00-251 Development of User Interface prototypes and conduct of Human Centred Design. Analysis and assessment of the role of the operator within the weapon system considering weapon system planning, command and control Definition of HF requirements and development and maintenance of lower level detailed specifications (eg for HMI/HCI) Conduct of User Experiments and Trials supporting system conception, development and verification taking into account operator workload and situational awareness Analysis of physical ergonomics, equipment and integration into workspaces. Skillset/Experience Required: Member of the Chartered Institute of Ergonomics and Human Factors (CIEHF) User Interface design & use of User Interface prototyping tools such as Axure Implementing Human Centred Design processes Application of Human Factors Integration & Human Factors Engineering in a Defence context Knowledge of defence standards (00-251) Conduct of core HF activities including task analysis, requirements development, user trials and Experimentation. Application of physical ergonomics and use of CAD software such as Jack or RAMSIS Good understanding of Systems Engineering and disciplines that interact with Human Factors (Supportability, Training, Systems) including definition and verification of HF requirements. MS Office, DOORS Ability to generate technical reports Good planning skills Customer focused Effective communication skills.
03/05/2024
Project-based
Human Factors Engineer - Hybrid Role JOB LOCATION: Stevenage/Bristol (HYBRID) SECURITY CLEARANCE LEVEL - SC DURATION: 12 Months Minimum WORK PATTERN: Hybrid Working (Due to project specs, may be needed some weeks fully onsite, then some fully remote). PAY RATE: £80 - £90 Per Hour Umbrella Inside IR35 Essential QUALIFICATIONS Essential- Chartered member of the Ergonomics & HF Society (CIEHF). TARGET INDUSTRIES AND COMPANIES. Is Defence a must? If not what industries can be considered Defence/Aerospace is preferable. ALTERNATIVE JOB TITLES IN OTHER COMPANIES OR INDUSTRIES (Human Factors Engineer OR Human Factors Consultant OR Human Factors Specialist OR Human Factors Scientist OR UX Professional) Overview: The military operating environment is becoming more complex and new technological capabilities are required to ensure operational advantage. We believe that integration of Human Factors is critical to the development of safe, usable and effective weapon systems. The Human Factors department is responsible for ensuring that user capability is fully considered in the weapon system, from initial concept design through development and delivery to the customer. You will be joining a team recognised by UK MoD as an industry leader in the delivery of Human Factors Integration where you be able to influence systems as they develop from concept to delivery and gain first-hand experience of working with military users. Our team work transversally across MBDAs projects through the development life cycle providing capabilities to users across Land, Air and Sea with ongoing projects across Battlefield, Surface Attack, Deep Strike & Air Defence domains. As a partner in FCAS AP we are also at the heart of providing the effects element of the Future Combat Air System (FCAS). Responsibilities: In your role you will be able to directly influence the development of these technologies, engaging directly with the user from early concept through to delivery ensuring that the human-machine relationship is optimised. We are looking for a highly capable, versatile and enthusiastic Human Factors Engineer to undertake a full range of Human Factors tasks across weapon system concepting, development and research activities. Responsibilities include: Conduct of Human Factors Integration through the development life cycle providing progressive assurance to the customer as per Def Stan 00-251 Development of User Interface prototypes and conduct of Human Centred Design. Analysis and assessment of the role of the operator within the weapon system considering weapon system planning, command and control Definition of HF requirements and development and maintenance of lower level detailed specifications (eg for HMI/HCI) Conduct of User Experiments and Trials supporting system conception, development and verification taking into account operator workload and situational awareness Analysis of physical ergonomics, equipment and integration into workspaces. Skillset/Experience Required: Member of the Chartered Institute of Ergonomics and Human Factors (CIEHF) User Interface design & use of User Interface prototyping tools such as Axure Implementing Human Centred Design processes Application of Human Factors Integration & Human Factors Engineering in a Defence context Knowledge of defence standards (00-251) Conduct of core HF activities including task analysis, requirements development, user trials and Experimentation. Application of physical ergonomics and use of CAD software such as Jack or RAMSIS Good understanding of Systems Engineering and disciplines that interact with Human Factors (Supportability, Training, Systems) including definition and verification of HF requirements. MS Office, DOORS Ability to generate technical reports Good planning skills Customer focused Effective communication skills.
People Source Consulting Ltd
Gloucester, Gloucestershire
Role: Product Support Engineer - industrial automation - PLC - SERVO DRIVES - MOTION CONTROL Location: Gloucester + some remote work Salary: £competitive - we just want the right people ! Occasional international travel to support distributors (2 to 4 weeks per year). *This Client are exclusive to People Source so you MUST apply via this advert.* My client based in Gloucester are looking at hiring Product Support Engineers, this is a hands on role! You will be front line with the clients and customers and running projects from concept to delivery. You must have a technical understanding and a engineering background industrial automation - PLC - SERVO DRIVES - MOTION CONTROL. The Role: You will be working as part of a team alongside our development engineers and customers. Products are centred around programmable motion controllers with PLC functionality used in a broad range of industrial machines ranging from 3D printing to assembly line systems and industrial robots. You will be working with our product hardware and software engineers based in the UK, Italy and Bulgaria to bring the latest automation technology to the market. Alongside this, the role includes active dialogue with our customers and branch offices abroad and will require some limited travel both within and outside the UK. The ability to think logically about problem solving and experience writing software in a high level structured language will be needed and some experience with electrical wiring is desirable. Some prior mechanical knowledge will be helpful but training will be given where appropriate. Specific Job Responsibilities: Work with customers to support their ability to create world-class technical solutions using products, software and programming tools. Assist the development department with testing and evaluating new software and hardware, giving clear feedback to development engineers. Advise customers on the integration and commissioning of automation products including motion co-ordinators, high performance servo drives/motors and industrial robots. Work with branch offices in USA, India and China and with ESTUN Automation in China to provide industry leading products and a world-class customer experience Required Qualifications & Experience Training will be given in areas which are new to the applicant. Degree or similar higher qualification in Software/Mechatronics/Electronics or related discipline. Worked on interfacing automation hardware; eg sensors, actuators, drives and motors. A background in communications using serial, Ethernet and similar media. Experienced in programming industrial automation/manufacturing machines Having a thorough working knowledge and experience of 3 or more of the following will be beneficial: Implementing and commissioning stand-alone automation computers; eg PLC or Motion Controller. Good knowledge of a high level programming language; for example C, BASIC, Python. PLC programming, preferably using the standard IEC61131-3 environment. Electrical interfacing between a controller and sensors/actuators in an automation system. Servo drives and brushless servo motors. Stepper motors and drives. Ethernet networks, protocols and topology. A working knowledge of PCs running Windows. Basic level of Windows/Linux application programming. Real Time deterministic networks, eg EtherCAT, Sercos, CanOpen, Profinet RT. Application and configuration of Industrial Robots. Programming and configuration of touch-screen HMIs Applicants should be a team player and be able to communicate effectively in English. They must be legally entitled to live and work in the UK. A full driving licence is required and applicants must be eligible to obtain business visas for USA/Canada, China and India as some foreign travel may be necessary. Benefits: Attractive salary, profit related pay and pension contribution 5% Some remote/hybrid working up to 25% of working time Group Life and Health Cashplan Insurance How to apply? Send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
02/05/2024
Full time
Role: Product Support Engineer - industrial automation - PLC - SERVO DRIVES - MOTION CONTROL Location: Gloucester + some remote work Salary: £competitive - we just want the right people ! Occasional international travel to support distributors (2 to 4 weeks per year). *This Client are exclusive to People Source so you MUST apply via this advert.* My client based in Gloucester are looking at hiring Product Support Engineers, this is a hands on role! You will be front line with the clients and customers and running projects from concept to delivery. You must have a technical understanding and a engineering background industrial automation - PLC - SERVO DRIVES - MOTION CONTROL. The Role: You will be working as part of a team alongside our development engineers and customers. Products are centred around programmable motion controllers with PLC functionality used in a broad range of industrial machines ranging from 3D printing to assembly line systems and industrial robots. You will be working with our product hardware and software engineers based in the UK, Italy and Bulgaria to bring the latest automation technology to the market. Alongside this, the role includes active dialogue with our customers and branch offices abroad and will require some limited travel both within and outside the UK. The ability to think logically about problem solving and experience writing software in a high level structured language will be needed and some experience with electrical wiring is desirable. Some prior mechanical knowledge will be helpful but training will be given where appropriate. Specific Job Responsibilities: Work with customers to support their ability to create world-class technical solutions using products, software and programming tools. Assist the development department with testing and evaluating new software and hardware, giving clear feedback to development engineers. Advise customers on the integration and commissioning of automation products including motion co-ordinators, high performance servo drives/motors and industrial robots. Work with branch offices in USA, India and China and with ESTUN Automation in China to provide industry leading products and a world-class customer experience Required Qualifications & Experience Training will be given in areas which are new to the applicant. Degree or similar higher qualification in Software/Mechatronics/Electronics or related discipline. Worked on interfacing automation hardware; eg sensors, actuators, drives and motors. A background in communications using serial, Ethernet and similar media. Experienced in programming industrial automation/manufacturing machines Having a thorough working knowledge and experience of 3 or more of the following will be beneficial: Implementing and commissioning stand-alone automation computers; eg PLC or Motion Controller. Good knowledge of a high level programming language; for example C, BASIC, Python. PLC programming, preferably using the standard IEC61131-3 environment. Electrical interfacing between a controller and sensors/actuators in an automation system. Servo drives and brushless servo motors. Stepper motors and drives. Ethernet networks, protocols and topology. A working knowledge of PCs running Windows. Basic level of Windows/Linux application programming. Real Time deterministic networks, eg EtherCAT, Sercos, CanOpen, Profinet RT. Application and configuration of Industrial Robots. Programming and configuration of touch-screen HMIs Applicants should be a team player and be able to communicate effectively in English. They must be legally entitled to live and work in the UK. A full driving licence is required and applicants must be eligible to obtain business visas for USA/Canada, China and India as some foreign travel may be necessary. Benefits: Attractive salary, profit related pay and pension contribution 5% Some remote/hybrid working up to 25% of working time Group Life and Health Cashplan Insurance How to apply? Send a CV to (see below) People Source Consulting Ltd is acting as an Employment Agency in relation to this vacancy. People Source specialise in technology recruitment across niche markets including Information Technology, Digital TV, Digital Marketing, Project and Programme Management, SAP, Digital and Consumer Electronics, Air Traffic Management, Management Consultancy, Business Intelligence, Manufacturing, Telecoms, Public Sector, Healthcare, Finance and Oil & Gas.
Salesforce Developer - Insurance Our client, a leading specialist insurance and reinsurance broker, are looking for a salesforce developer to join their Customer Engagement Platform team who are responsible for building and enhancing the product. This product is crucial to their operations, and covers the full end to end cycle of their business. As-well as designing, developing, and implementing solutions in line with business requirements, this person will also be looking to use modern development technology, utilising AI and machine learning amongst other tools. Experience required: Strong experience with Salesforce development. Experience integrating Salesforce with other systems. Good stakeholder management. Financial Services experience is desirable. This is a permanent position, paying up to £75kpa, with 1-2 days per week in their London offices. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy, actively promotes the principles of equality, diversity and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors and the public. We fully feel an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all and we approach recruitment for our clients with the same perspective and qualities.
02/05/2024
Full time
Salesforce Developer - Insurance Our client, a leading specialist insurance and reinsurance broker, are looking for a salesforce developer to join their Customer Engagement Platform team who are responsible for building and enhancing the product. This product is crucial to their operations, and covers the full end to end cycle of their business. As-well as designing, developing, and implementing solutions in line with business requirements, this person will also be looking to use modern development technology, utilising AI and machine learning amongst other tools. Experience required: Strong experience with Salesforce development. Experience integrating Salesforce with other systems. Good stakeholder management. Financial Services experience is desirable. This is a permanent position, paying up to £75kpa, with 1-2 days per week in their London offices. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy, actively promotes the principles of equality, diversity and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors and the public. We fully feel an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all and we approach recruitment for our clients with the same perspective and qualities.
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Romsey Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
02/05/2024
Full time
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Romsey Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Woking Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
02/05/2024
Full time
Embedded Software Developer - DV Cleared Salary: £70k - £90k Location: Woking Clearance: DV Clearance required We are currently seeking a skilled and experienced Embedded Software Developer to join the team at a leading defence consultancy. You will have a strong background in Embedded software development, with expertise in C and/or C++ for Embedded development. As an Embedded Software Engineer, you will be responsible for designing, developing, and testing Embedded software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Key Responsibilities: Design, develop, and test Embedded software systems using C and/or C++ Collaborate with cross-functional teams to integrate software into systems Conduct unit and system testing to ensure software quality Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in Embedded software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in Embedded software development using C and/or C++ Expertise in Embedded Linux platform development Experience of modern DevOps practices, including version control and continuous integration Knowledge of latest System on Chip (SoC) devices Experience with unit and system testing Excellent problem-solving skills and attention to detail Strong communication and teamwork skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Woking Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
02/05/2024
Full time
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Woking Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
02/05/2024
Full time
Software Engineer - SC Cleared Salary: £35,000 - £55,000 Dependent on experience We are currently seeking a skilled and experienced Software Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in software development, with experience in Python, Java, or Kotlin and supporting Back End and Middleware frameworks. As a Software Engineer, you will be responsible for designing, developing, and testing software systems for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test software systems using Python, Java, or Kotlin and supporting Back End and Middleware frameworks Collaborate with cross-functional teams to integrate software into systems Conduct research to identify new techniques and technologies Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in software engineering and related fields Essential Skills and Experience: Degree in Computer Science, Engineering, or a related field Proven experience in software development using Python, Java, or Kotlin Experience with SQL and NoSQL database systems Familiarity with Linux-based operating systems - Ubuntu, Centos/RHEL Experience with mobile operating systems - especially Android Knowledge of message brokering, serialisation and queuing systems Experience with microservices, containers and hosts Familiarity with Infrastructure as Code - Vagrant, Ansible and Terraform Experience with AWS and Azure Cloud Experience with Git and version control systems Desirable Skills and Experience: Experience with other programming languages such as C++ or JavaScript Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This blue chip employer offers a supportive and collaborative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field Apply now and I will call to discuss your situation and this role in more depth
Radar Engineer - Algorithm Development Salary: £40,000 to £80,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
02/05/2024
Full time
Radar Engineer - Algorithm Development Salary: £40,000 to £80,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
Software Engineer - Cloud/Opensource Central London/Hybrid Competitive Salary - £85,000 - £125,000 negotiable depending on experience plus full benefits package including attractive Bonus & Equity Overview An exciting opportunity to join an ambitious Cloud Technology organisation expanding their UK engineering team developing next-generation cloud services. They are pre scale up so joining at this early stage, you will have the opportunity to significantly shape the codebase, drive the direction of future product development and collaborate closely together with other leaders in the field. The ideal profiles would be for a senior and a mid-level engineer with a background in distributed systems (Senior - 10-20 years/Mid Level -5-10 years). Work on building Virtual Machine offering as part of the Compute team. Ideal background is someone who has virtual machines or virtual networking experience but open to consider all strong engineers with a background in distributed systems. Technical Knowledge Required: Strong background in distributed systems and Linux systems engineering Coding in programming languages such as C, C++, Golang or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source community. Familiarity with software build processes and secure supply systems, like Bazel or OpenSSF. The role You will have an opportunity to team up with fellow engineers to craft tailored solutions meeting their unique challenges. Forge and refine tools that power team efficiency-this includes CI/CD, local development setups, build toolchains, and essential infrastructure. Plot the roadmap for software component development, aligning with team priorities and vision. Lead the charge in defining and achieving their technical benchmarks Seamlessly integrate and upkeep open-source components within their evolving tech stack. Networking People (UK) is acting as an Employment Agency in relation to this vacancy.
01/05/2024
Full time
Software Engineer - Cloud/Opensource Central London/Hybrid Competitive Salary - £85,000 - £125,000 negotiable depending on experience plus full benefits package including attractive Bonus & Equity Overview An exciting opportunity to join an ambitious Cloud Technology organisation expanding their UK engineering team developing next-generation cloud services. They are pre scale up so joining at this early stage, you will have the opportunity to significantly shape the codebase, drive the direction of future product development and collaborate closely together with other leaders in the field. The ideal profiles would be for a senior and a mid-level engineer with a background in distributed systems (Senior - 10-20 years/Mid Level -5-10 years). Work on building Virtual Machine offering as part of the Compute team. Ideal background is someone who has virtual machines or virtual networking experience but open to consider all strong engineers with a background in distributed systems. Technical Knowledge Required: Strong background in distributed systems and Linux systems engineering Coding in programming languages such as C, C++, Golang or Rust. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate etc. Hands-on exp. with IaC tools and automation, such as Terraform, Ansible, or Helm. Active engagement or contributions to the open-source community. Familiarity with software build processes and secure supply systems, like Bazel or OpenSSF. The role You will have an opportunity to team up with fellow engineers to craft tailored solutions meeting their unique challenges. Forge and refine tools that power team efficiency-this includes CI/CD, local development setups, build toolchains, and essential infrastructure. Plot the roadmap for software component development, aligning with team priorities and vision. Lead the charge in defining and achieving their technical benchmarks Seamlessly integrate and upkeep open-source components within their evolving tech stack. Networking People (UK) is acting as an Employment Agency in relation to this vacancy.
Senior Software Engineer/Technical Lead Permanent Central London/Hybrid Excellent Salary (NEGOTIABLE) plus full benefits package including attractive Bonus & Equity Key Skills - Senior Software Engineer/Technical lead experienced in working with and/or on virtual server technologies, virtual networking technologies, network programming. Summary: An exciting opportunity to join an ambitious Cloud Technology organisation expanding the UK Engineering Centre as they embark on a significant greenfield initiative in the development of next-generation cloud services. They are pre scale up so joining at this early stage, you will have the opportunity to significantly shape the codebase, drive the direction of future product development and collaborate closely together with other leaders in the field. The ideal candidate will be a Senior Software Engineer/Technical lead experienced in working with and/or on virtual server technologies, virtual networking technologies, network programming. Technical Knowledge Required: Proficiency in distributed systems and Linux systems engineering. Coding in programming languages such as C, C++, Golang or Rust. Experience working with and/or on virtual server technologies, virtual networking technologies, network programming. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate and the like. Hands-on with infrastructure-as-code tools and automation, such as Terraform, Ansible, or Helm. The role Tech Lead responsible for designing and creating their Virtual Machine and Virtual Network Service. Team up with fellow engineers to craft tailored solutions meeting their unique challenges. Forge and refine tools that power team efficiency - this includes CI/CD, local development setups, build toolchains, and essential infrastructure. Plot the roadmap for software component development, aligning with team priorities and vision. Lead the charge in defining and achieving their technical benchmarks. Networking People (UK) is acting as an Employment Agency in relation to this vacancy.
01/05/2024
Full time
Senior Software Engineer/Technical Lead Permanent Central London/Hybrid Excellent Salary (NEGOTIABLE) plus full benefits package including attractive Bonus & Equity Key Skills - Senior Software Engineer/Technical lead experienced in working with and/or on virtual server technologies, virtual networking technologies, network programming. Summary: An exciting opportunity to join an ambitious Cloud Technology organisation expanding the UK Engineering Centre as they embark on a significant greenfield initiative in the development of next-generation cloud services. They are pre scale up so joining at this early stage, you will have the opportunity to significantly shape the codebase, drive the direction of future product development and collaborate closely together with other leaders in the field. The ideal candidate will be a Senior Software Engineer/Technical lead experienced in working with and/or on virtual server technologies, virtual networking technologies, network programming. Technical Knowledge Required: Proficiency in distributed systems and Linux systems engineering. Coding in programming languages such as C, C++, Golang or Rust. Experience working with and/or on virtual server technologies, virtual networking technologies, network programming. Experience in building and enhancing compute, storage, and data platforms with exposure to open source products like Kubernetes, Knative, Ceph, Rook, Cassandra, Spark, Nate and the like. Hands-on with infrastructure-as-code tools and automation, such as Terraform, Ansible, or Helm. The role Tech Lead responsible for designing and creating their Virtual Machine and Virtual Network Service. Team up with fellow engineers to craft tailored solutions meeting their unique challenges. Forge and refine tools that power team efficiency - this includes CI/CD, local development setups, build toolchains, and essential infrastructure. Plot the roadmap for software component development, aligning with team priorities and vision. Lead the charge in defining and achieving their technical benchmarks. Networking People (UK) is acting as an Employment Agency in relation to this vacancy.
Editor - Legal Tech, Solicitor, Law, Publishing, AI, Machine Learning Role Overview: In this position as an Editor, your responsibilities will include: Assessing, grading, and analysing model outputs to ensure accuracy and excellence. Keeping abreast of legal trends and developments relevant to your role. Reviewing industry research papers to support ongoing research and model enhancement. Candidate Profile: You're well-suited for the Editor role if you possess: Minimum three years of experience practicing as a solicitor (Mandatory). Possession of a U.K. Law Degree (Essential). Previous engagement in a Legal Publishing environment is advantageous. Experience in assessing or grading AI/LLM model outputs, and/or developing LLM legal benchmark evaluations is beneficial. Initiative-driven with a knack for legal research and writing. Proficiency in interpreting, analysing, organizing, and articulating complex legal content. Comfortable with personal computing, proficient in word processing, and adept with online applications. Enthusiasm for embracing and mastering new technologies. Capability to swiftly learn various software programs and internal tools. Familiarity with crowdsourcing annotation tools (eg, Amazon MTurk) is a bonus. London/Hybrid Contract By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
30/04/2024
Full time
Editor - Legal Tech, Solicitor, Law, Publishing, AI, Machine Learning Role Overview: In this position as an Editor, your responsibilities will include: Assessing, grading, and analysing model outputs to ensure accuracy and excellence. Keeping abreast of legal trends and developments relevant to your role. Reviewing industry research papers to support ongoing research and model enhancement. Candidate Profile: You're well-suited for the Editor role if you possess: Minimum three years of experience practicing as a solicitor (Mandatory). Possession of a U.K. Law Degree (Essential). Previous engagement in a Legal Publishing environment is advantageous. Experience in assessing or grading AI/LLM model outputs, and/or developing LLM legal benchmark evaluations is beneficial. Initiative-driven with a knack for legal research and writing. Proficiency in interpreting, analysing, organizing, and articulating complex legal content. Comfortable with personal computing, proficient in word processing, and adept with online applications. Enthusiasm for embracing and mastering new technologies. Capability to swiftly learn various software programs and internal tools. Familiarity with crowdsourcing annotation tools (eg, Amazon MTurk) is a bonus. London/Hybrid Contract By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.
Radar Engineer - Algorithm Development Salary: £65,000 to £80,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
30/04/2024
Full time
Radar Engineer - Algorithm Development Salary: £65,000 to £80,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
Radar Engineer - Algorithm Development Salary: £45,000 to £60,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
30/04/2024
Full time
Radar Engineer - Algorithm Development Salary: £45,000 to £60,000 Dependent on experience We are currently seeking a skilled and experienced Radar Engineer to join the team at a leading defence engineering consultancy. You will have a strong background in algorithm development, with proficiency in MATLAB and Python. As a Radar Engineer, you will be responsible for designing, developing, and testing radar systems and algorithms for a range of applications. You will work closely with our multidisciplinary team of engineers to deliver innovative solutions to complex problems. Please note - Security clearance will be required for this role. Location: Greater Southampton area. Work Pattern: Flexible/Hybrid (A combination of home and office working) Key Responsibilities: Design, develop, and test radar algorithms using MATLAB and Python Collaborate with cross-functional teams to integrate algorithms into radar systems Conduct research to identify new radar technologies and techniques Analyze system performance and recommend improvements Prepare technical reports and presentations for clients and stakeholders Stay up-to-date with the latest developments in radar engineering and related fields Essential Skills and Experience: Degree in Electrical Engineering, Physics, or a related field Proven experience in algorithm development for radar systems Strong proficiency in MATLAB and Python Experience with radar system design and analysis Excellent problem-solving skills and attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits: This blue chip employer offers a supportive and cooperative work environment, where you will have the opportunity to work on exciting and challenging projects. Benefits include: Hybrid working pattern (a combination of home and office working) Competitive salary and benefits package Comprehensive training and development opportunities Access to cutting-edge technology and resources Opportunities to work with leading experts in the field If you are a motivated and experienced Radar Engineer looking for a new challenge, we would love to hear from you.
We are seeking a highly skilled Senior Rust Developer with experience in large-scale image data processing and automation. General Responsibilities The ideal candidate will possess a strong background in Rust programming language, coupled with proficiency in machine learning, GPU acceleration, and cloud computing technologies, particularly AWS EMR. Additionally, expertise in Linux environments, web development using React.js, are essential for this role. The candidate should also demonstrate proficiency in AWS services, particularly AWS S3, AWS Lambda, networking, permissions management, and observability tools. The role involves not only developing robust, efficient code but also ensuring seamless deployment, maintenance, and support of production systems. Experience in database management, website authentication, HTTPS certificates, and adherence to best practices for data archiving are highly desirable. Responsibilities: Collaborate in developing, improving, and maintaining high-performance Rust applications for large-scale image data processing and automation. Implement best practices for data archiving, ensuring compliance with regulatory requirements and business needs. Manage databases used in production systems, ensuring data integrity, performance, and security. Implement website authentication mechanisms and manage HTTPS certificates for secure communication. Utilize machine learning techniques and GPU acceleration to optimize image processing workflows. Collaborate with cross-functional teams to integrate image processing modules into web applications using React.js. Deploy, configure, and manage production systems on AWS, with a focus on AWS EMR for big data processing. Implement continuous integration and deployment pipelines using Jenkins for efficient code deployment. Ensure observability of systems through proper logging, monitoring, and alerting mechanisms. Manage AWS resources including S3 buckets, Lambda functions, networking configurations, and permissions. Document production code and architectural decisions to facilitate knowledge sharing and onboarding of new team members. Provide support and maintenance for production systems, troubleshooting issues and implementing timely resolutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Extensive experience in Rust programming language, with a focus on large-scale data processing applications. - Proficiency in machine learning techniques and GPU acceleration for image processing tasks. - Strong background in Linux environments and Shell Scripting. - Solid understanding of web development principles, with hands-on experience in React.js. - Experience with code deployment tools such as Jenkins and version control systems like Git. - In-depth knowledge of AWS services, particularly EMR, S3, Lambda, networking, and permissions management. - Familiarity with observability tools for monitoring and logging production systems. - Experience with database management systems and website authentication mechanisms. - Excellent problem-solving skills and ability to work effectively in a collaborative team environment. - Good to have pharmaceutical experience Working remotely 6 months + extension
29/04/2024
Project-based
We are seeking a highly skilled Senior Rust Developer with experience in large-scale image data processing and automation. General Responsibilities The ideal candidate will possess a strong background in Rust programming language, coupled with proficiency in machine learning, GPU acceleration, and cloud computing technologies, particularly AWS EMR. Additionally, expertise in Linux environments, web development using React.js, are essential for this role. The candidate should also demonstrate proficiency in AWS services, particularly AWS S3, AWS Lambda, networking, permissions management, and observability tools. The role involves not only developing robust, efficient code but also ensuring seamless deployment, maintenance, and support of production systems. Experience in database management, website authentication, HTTPS certificates, and adherence to best practices for data archiving are highly desirable. Responsibilities: Collaborate in developing, improving, and maintaining high-performance Rust applications for large-scale image data processing and automation. Implement best practices for data archiving, ensuring compliance with regulatory requirements and business needs. Manage databases used in production systems, ensuring data integrity, performance, and security. Implement website authentication mechanisms and manage HTTPS certificates for secure communication. Utilize machine learning techniques and GPU acceleration to optimize image processing workflows. Collaborate with cross-functional teams to integrate image processing modules into web applications using React.js. Deploy, configure, and manage production systems on AWS, with a focus on AWS EMR for big data processing. Implement continuous integration and deployment pipelines using Jenkins for efficient code deployment. Ensure observability of systems through proper logging, monitoring, and alerting mechanisms. Manage AWS resources including S3 buckets, Lambda functions, networking configurations, and permissions. Document production code and architectural decisions to facilitate knowledge sharing and onboarding of new team members. Provide support and maintenance for production systems, troubleshooting issues and implementing timely resolutions. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, or related field. - Extensive experience in Rust programming language, with a focus on large-scale data processing applications. - Proficiency in machine learning techniques and GPU acceleration for image processing tasks. - Strong background in Linux environments and Shell Scripting. - Solid understanding of web development principles, with hands-on experience in React.js. - Experience with code deployment tools such as Jenkins and version control systems like Git. - In-depth knowledge of AWS services, particularly EMR, S3, Lambda, networking, and permissions management. - Familiarity with observability tools for monitoring and logging production systems. - Experience with database management systems and website authentication mechanisms. - Excellent problem-solving skills and ability to work effectively in a collaborative team environment. - Good to have pharmaceutical experience Working remotely 6 months + extension