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.
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.
M365/Power Platform Solutions Architect Location Based at client locations or working remotely Salary Negotiable, plus company benefits Job Overview Triad Group Plc is seeking a highly skilled and experienced M365/Power Platform Solutions Architect to join our dynamic team. As a M365/Power Platform Solutions Architect, you will play a pivotal role in designing, implementing, and maintaining scalable solutions built on the Microsoft Power Platform. The successful candidate will possess a deep understanding of Power Apps, Power Automate, Power BI, Dataverse, and C# and will be responsible for translating business requirements into robust, efficient, and scalable Power Platform solutions. The role will involve assessing new methods and technologies (within the power platform and outside) to inform the direction of the development, before implementing recommendations. As a consultant at Triad, you will play a pivotal role in shaping the technological landscape, defining, designing, and delivering digital solutions across public, private, and third sectors. Operating within a Company that values autonomy and creativity, you will be at the forefront of solving complex problems, contributing to a culture of innovation that has been the hallmark of Triad's 35-year success story. Why Triad: Glassdoor score of 4.8/5 95% of our staff would recommend Triad to a friend 100% CEO approval "At Triad, I've felt a sense of support and community from day one. The range of projects and flexibility to try different roles means I can forge my own career path with the support of my peers." About Us Join an award-winning team recognised twice for "Project Excellence" at "The Chartered Institute for IT & Computing Awards." Triad operates at the heart of the public sector, understanding its technology challenges, and delivering goals at the best value for UK citizens. We are on a mission to become the UK's favourite technology company by 2025. Triad defines, designs, and delivers digital solutions, boasting a 35-year track record of success across public, private, and third sectors. Our flat management structure and absence of burdensome hierarchy promote autonomy, fostering a creative and innovative environment for solving complex problems. Responsibilities Solution Design and Architecture: Collaborate with business stakeholders to understand requirements and translate them into technical solutions leveraging the Power Platform. Design end-to-end solutions on Power Platform, considering scalability, security, and performance aspects. Experience architecting C# solutions. Technical Leadership: Provide technical leadership and guidance to development teams on Power Platform best practices. Mentor and coach team members to enhance their Power Platform skills and knowledge. Customisation and Development: Develop custom Power Apps, Power Automate flows, and Power BI reports to meet business requirements. Create and customise entities, fields, forms, and views in Dataverse. Integration: Design and implement integrations between Power Platform and other enterprise systems. Work with APIs and connectors to ensure seamless data flow between Power Platform and external systems. Governance and Compliance: Define and implement governance policies for Power Platform usage. Ensure compliance with organisational and industry-specific regulations. Performance Optimisation: Monitor and optimise the performance of Power Platform solutions. Identify and resolve performance bottlenecks and scalability issues. Documentation: Create and maintain comprehensive technical documentation for Power Platform solutions. Document best practices, guidelines, and standards for Power Platform development. Qualifications: Hold current SC-level security clearance. Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Technical Architect with a focus on Microsoft Power Platform. In-depth knowledge of Power Apps, Power Automate, Power BI, Dataverse, and substantial experience in C# architecture. Strong understanding of Datamodelling and relational database concepts. Experience in designing and implementing complex Power Platform solutions. Familiarity with Microsoft Azure services and integration capabilities. Excellent communication and interpersonal skills. Relevant certifications in Power Platform are a plus. Preferred Skills: Microsoft Certified: Power Platform Solution Architect Expert. Experience with Power Virtual Agents. Knowledge of AI and machine learning concepts within Power Platform. What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free private health care and medical cover with Bupa (taxable as a benefit). Perkbox membership. Gym membership (up to £40 per month towards membership plus free membership at Lakeshore Fitness in Milton Keynes). Cycle to work scheme. Free Health and Wellbeing services (AIG Smart Health and Canada Life WeCare). Interested? Please contact Ryan Jordan for the full job description or submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process has been recognised as inclusive and accessible to disabled people who meet the minimum criteria for any role. We are a signatory on the Tech Talent Charter that aims to bring industries and organisations together to drive greater inclusion and diversity in technology roles, in addition, as a Disability Confident employer, our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role.
02/05/2024
Full time
M365/Power Platform Solutions Architect Location Based at client locations or working remotely Salary Negotiable, plus company benefits Job Overview Triad Group Plc is seeking a highly skilled and experienced M365/Power Platform Solutions Architect to join our dynamic team. As a M365/Power Platform Solutions Architect, you will play a pivotal role in designing, implementing, and maintaining scalable solutions built on the Microsoft Power Platform. The successful candidate will possess a deep understanding of Power Apps, Power Automate, Power BI, Dataverse, and C# and will be responsible for translating business requirements into robust, efficient, and scalable Power Platform solutions. The role will involve assessing new methods and technologies (within the power platform and outside) to inform the direction of the development, before implementing recommendations. As a consultant at Triad, you will play a pivotal role in shaping the technological landscape, defining, designing, and delivering digital solutions across public, private, and third sectors. Operating within a Company that values autonomy and creativity, you will be at the forefront of solving complex problems, contributing to a culture of innovation that has been the hallmark of Triad's 35-year success story. Why Triad: Glassdoor score of 4.8/5 95% of our staff would recommend Triad to a friend 100% CEO approval "At Triad, I've felt a sense of support and community from day one. The range of projects and flexibility to try different roles means I can forge my own career path with the support of my peers." About Us Join an award-winning team recognised twice for "Project Excellence" at "The Chartered Institute for IT & Computing Awards." Triad operates at the heart of the public sector, understanding its technology challenges, and delivering goals at the best value for UK citizens. We are on a mission to become the UK's favourite technology company by 2025. Triad defines, designs, and delivers digital solutions, boasting a 35-year track record of success across public, private, and third sectors. Our flat management structure and absence of burdensome hierarchy promote autonomy, fostering a creative and innovative environment for solving complex problems. Responsibilities Solution Design and Architecture: Collaborate with business stakeholders to understand requirements and translate them into technical solutions leveraging the Power Platform. Design end-to-end solutions on Power Platform, considering scalability, security, and performance aspects. Experience architecting C# solutions. Technical Leadership: Provide technical leadership and guidance to development teams on Power Platform best practices. Mentor and coach team members to enhance their Power Platform skills and knowledge. Customisation and Development: Develop custom Power Apps, Power Automate flows, and Power BI reports to meet business requirements. Create and customise entities, fields, forms, and views in Dataverse. Integration: Design and implement integrations between Power Platform and other enterprise systems. Work with APIs and connectors to ensure seamless data flow between Power Platform and external systems. Governance and Compliance: Define and implement governance policies for Power Platform usage. Ensure compliance with organisational and industry-specific regulations. Performance Optimisation: Monitor and optimise the performance of Power Platform solutions. Identify and resolve performance bottlenecks and scalability issues. Documentation: Create and maintain comprehensive technical documentation for Power Platform solutions. Document best practices, guidelines, and standards for Power Platform development. Qualifications: Hold current SC-level security clearance. Bachelor's degree in computer science, Information Technology, or a related field. Proven experience as a Technical Architect with a focus on Microsoft Power Platform. In-depth knowledge of Power Apps, Power Automate, Power BI, Dataverse, and substantial experience in C# architecture. Strong understanding of Datamodelling and relational database concepts. Experience in designing and implementing complex Power Platform solutions. Familiarity with Microsoft Azure services and integration capabilities. Excellent communication and interpersonal skills. Relevant certifications in Power Platform are a plus. Preferred Skills: Microsoft Certified: Power Platform Solution Architect Expert. Experience with Power Virtual Agents. Knowledge of AI and machine learning concepts within Power Platform. What you will get 25 days annual leave, excluding bank holidays. Matched pension contributions of 5%. Free private health care and medical cover with Bupa (taxable as a benefit). Perkbox membership. Gym membership (up to £40 per month towards membership plus free membership at Lakeshore Fitness in Milton Keynes). Cycle to work scheme. Free Health and Wellbeing services (AIG Smart Health and Canada Life WeCare). Interested? Please contact Ryan Jordan for the full job description or submit your application now. Triad is an equal opportunities employer and welcomes applications from all suitably qualified people regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion, or belief. We are proud that our recruitment process has been recognised as inclusive and accessible to disabled people who meet the minimum criteria for any role. We are a signatory on the Tech Talent Charter that aims to bring industries and organisations together to drive greater inclusion and diversity in technology roles, in addition, as a Disability Confident employer, our recruitment process is inclusive and accessible to disabled people who meet the minimum criteria for any role.
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.
Principal AI Product Lead £80K - £130K Hyrbid/Bristol/Swindon A leading SaaS Platform provider are looking for an AI Product "guru" to help them establish an AI function and integrate AI solutions into their internal and external platforms. You will have the opportunity to run a small, dedicated AI function and will be given full autonomy to define AI within their business. You MUST have broad knowledge of AI, with experience developing solutions and integrating with platforms. Desired Experience: Considerable experience as an AI Consultant, or in an AI Focused role where you have shown an understanding of business and technology. Experience in developing AI solutions within start-up or dynamic industry environments. Hands-on experience with cloud-based AI and ML solutions. Knowledge of generative AI-centric applications and embedding models. Familiarity with ML Ops and DevOps practices. An awareness of programming languages such as Python and C#. Experience with Big Data technologies, ETL processes, and distributed computing frameworks like Kubernetes. Responsibilities: Shape the strategic direction of AI implementation across 30+ initiatives. Drive AI adoption on internal services. Develop technical integration strategy for the product suite. Develop a "big data" solution across products. Define internal and external technical API strategy. Work with the AI team to enhance existing product set with contemporary technologies. Design, develop, and implement AI solutions. Integrate AI solutions with client data, APIs, and production systems. Conduct data analysis and design machine learning models. Utilise modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively.
01/05/2024
Full time
Principal AI Product Lead £80K - £130K Hyrbid/Bristol/Swindon A leading SaaS Platform provider are looking for an AI Product "guru" to help them establish an AI function and integrate AI solutions into their internal and external platforms. You will have the opportunity to run a small, dedicated AI function and will be given full autonomy to define AI within their business. You MUST have broad knowledge of AI, with experience developing solutions and integrating with platforms. Desired Experience: Considerable experience as an AI Consultant, or in an AI Focused role where you have shown an understanding of business and technology. Experience in developing AI solutions within start-up or dynamic industry environments. Hands-on experience with cloud-based AI and ML solutions. Knowledge of generative AI-centric applications and embedding models. Familiarity with ML Ops and DevOps practices. An awareness of programming languages such as Python and C#. Experience with Big Data technologies, ETL processes, and distributed computing frameworks like Kubernetes. Responsibilities: Shape the strategic direction of AI implementation across 30+ initiatives. Drive AI adoption on internal services. Develop technical integration strategy for the product suite. Develop a "big data" solution across products. Define internal and external technical API strategy. Work with the AI team to enhance existing product set with contemporary technologies. Design, develop, and implement AI solutions. Integrate AI solutions with client data, APIs, and production systems. Conduct data analysis and design machine learning models. Utilise modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively.
Consultant Pathologist Outside IR35 Contract Remote - 6 months Up to £750 per day (£100 per hour) Full or part time Are you a skilled and experienced pathologist seeking a dynamic opportunity to contribute your expertise to ground-breaking projects? This pivotal role will not only propel the development of innovative solutions but also play a crucial part in revolutionising how AI enhances pathology diagnostics. You would be at the intersection of cutting-edge artificial intelligence and pathology, where your expertise will shape the future of medical diagnostics. What you'll be doing? Create labels (annotations) for training, validation, and testing of pathology-related machine learning algorithms. Perform visual quality control of image analysis models' output. Perform morphological description of cancer subtypes. Your Experience: Medical (M.D.) and board certified in anatomical/surgical pathology or similar qualifications. GMC registration Good knowledge in tissue diagnostics (histology, cytology, immunohistochemistry). Proven track record in cancer diagnostics (oncology) This is a perfect opportunity to work with one of the world leading Pharmaceutical companies, along side your current role. Any experience with Machine Learning and/or Artificial Intelligence would be a plus! If you're ready to make a significant impact and be part of a forward-thinking pathology team, please apply or email (see below)
30/04/2024
Project-based
Consultant Pathologist Outside IR35 Contract Remote - 6 months Up to £750 per day (£100 per hour) Full or part time Are you a skilled and experienced pathologist seeking a dynamic opportunity to contribute your expertise to ground-breaking projects? This pivotal role will not only propel the development of innovative solutions but also play a crucial part in revolutionising how AI enhances pathology diagnostics. You would be at the intersection of cutting-edge artificial intelligence and pathology, where your expertise will shape the future of medical diagnostics. What you'll be doing? Create labels (annotations) for training, validation, and testing of pathology-related machine learning algorithms. Perform visual quality control of image analysis models' output. Perform morphological description of cancer subtypes. Your Experience: Medical (M.D.) and board certified in anatomical/surgical pathology or similar qualifications. GMC registration Good knowledge in tissue diagnostics (histology, cytology, immunohistochemistry). Proven track record in cancer diagnostics (oncology) This is a perfect opportunity to work with one of the world leading Pharmaceutical companies, along side your current role. Any experience with Machine Learning and/or Artificial Intelligence would be a plus! If you're ready to make a significant impact and be part of a forward-thinking pathology team, please apply or email (see below)
Deep Learning Engineer, PyTorch, GNN, Remote, £90,000 per annum My client, a leading consultancy at the forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be developing GNN models and working closely with the data science team to design, test and deploy scalable deep learning models. This role will be remote so you can be anywhere in the UK. Skills:- Strong hands-on experience with deep learning frameworks, specifically PyTorch and PyTorch Geometric (PyG). Proven track record of implementing GNNs for tasks such as link prediction, node classification, and graph generation. Experience with data prepossessing, feature engineering, and understanding of the unique Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Please apply for more information Deep Learning Engineer, PyTorch, GNN, Remote, £90,000 per annum
30/04/2024
Full time
Deep Learning Engineer, PyTorch, GNN, Remote, £90,000 per annum My client, a leading consultancy at the forefront of AI, is searching for a Deep learning Engineer to work on solving complex data challenges, with a particular focus on graph neural networks (GNNs). The ideal Deep Learning Engineer will ideally have an expertise in in PyTorch and PyTorch Geometric (PyG). You will be developing GNN models and working closely with the data science team to design, test and deploy scalable deep learning models. This role will be remote so you can be anywhere in the UK. Skills:- Strong hands-on experience with deep learning frameworks, specifically PyTorch and PyTorch Geometric (PyG). Proven track record of implementing GNNs for tasks such as link prediction, node classification, and graph generation. Experience with data prepossessing, feature engineering, and understanding of the unique Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Please apply for more information Deep Learning Engineer, PyTorch, GNN, Remote, £90,000 per annum
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.