Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Craig Johnson
Salt Lake City, Utah
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Request Technology - Robyn Honquest
Salt Lake City, Utah
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
17/05/2024
Full time
NO SPONSORSHIP Director of Applied AI and Data Science COE+RD SALARY: Open LOCATION: Chicago, IL/Houston, TX/Salt Lake City, UT 3 days in office and 2 days remote We need a person from a big 4 firm. 10 years AI data science experience developing and deploying AI driven solutions and models. This is particularly within legal or consulting services. advanced degrees and certifications this is to develop AI & Data science strong management strong soft skills and presence As the Director of Applied AI and Data Science, you will orchestrate a new era of innovation and impact at the crossroads of technology and law. Your leadership will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Essential Functions: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications & Requirements Bachelor s degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
Job Title: Head of Production (Water Industry) Location: Green Lane, Walsall or Fulbourn Road, Cambridge (Hybrid - 3dpw in office location) Team : 3 direct reports, total team size 64 employees. Package: To 75k DOE + Company Car/Allowance + Bonus to 10% Travel: Frequent travel to Production sites including Cambridge and Hampton Loade Step into a pivotal role as our Head of Production and lead our passionate production teams to deliver pristine drinking water to communities across South Staffs and Cambridge. Drive transformative strategies that address industry challenges while championing our unwavering commitment to exceptional quality, safety, and environmental stewardship. This influential senior leadership position empowers you to oversee the day-to-day operations of water production and storage, ensuring a reliable and continuous water supply for all. Join us in making a meaningful impact-providing clean, safe water to enhance lives and sustain our communities. About us: At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. About the role: • Champion Human Organisation Performance (HOP) principles to drive health and safety performance improvements to mitigate critical risk / hazards. • Deliver water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Deliver annual unplanned interruption outcome delivery incentive (ODI). • Deliver maintenance, compliance, and team activities within annual operating expenditure budgets. • Continuous employee engagement, staff retention and team development. The key deliverables: • Effective leadership of Production teams across both operating regions • Management and implementation of industry leading Health & Safety standards associated with all operational staff and sites. • Providing direction, strategies and tracking operational performance to ensure compliance with Defra, EA, HSE, DWI standards. • Liaising with external bodies, auditors, review bodies and regulators • Evaluation of key business processes to ensure internal controls and risk measures are effective. • Ensuring sufficient competent staff are in place and that training is evaluated and maintained at the required standard. • Effectively managing budgets for operational and capital spend • Developing strategies and tactical plans for the risk-based optimisation of maintenance and reactive interventions • Developing strategies for the management of interventions to balance the operational risks of failure. • Overall accountability for Competent Operator Scheme compliance and assurance. • Responsible for water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Being part of emergency/incident standby rota. What you'll need: • Experience of Production leadership roles in a Water/Energy or similar environment • The ability to think strategically, make decisions, and set priorities. • Ability to lead, develop and motivate distributed teams in an agile environment. • Demonstrate well-honed emotional intelligence and communication skills, able to influence and build effective relationships across a range of internal and external stakeholders and act as an ambassador for the business. • Experience of managing operating and capital budgets is essential. • Demonstrate the ability to engage with internal and external stakeholders at a senior level. • Educated to degree level or equivalent experience • NEBOSH Diploma or NVQ Level 5 Diploma in H&S desired. • Hold or working towards Chartership of an Institution desired • Must hold a full UK Driving Licence. What you'll get in return: • Basic salary to £75k DOE • Bonus up to 10% • Car/Car Allowance • Matched pension contributions • Employee assistance and wellbeing programme • Private Health • Retail discounts • On-site gym • On-site nursery
17/05/2024
Full time
Job Title: Head of Production (Water Industry) Location: Green Lane, Walsall or Fulbourn Road, Cambridge (Hybrid - 3dpw in office location) Team : 3 direct reports, total team size 64 employees. Package: To 75k DOE + Company Car/Allowance + Bonus to 10% Travel: Frequent travel to Production sites including Cambridge and Hampton Loade Step into a pivotal role as our Head of Production and lead our passionate production teams to deliver pristine drinking water to communities across South Staffs and Cambridge. Drive transformative strategies that address industry challenges while championing our unwavering commitment to exceptional quality, safety, and environmental stewardship. This influential senior leadership position empowers you to oversee the day-to-day operations of water production and storage, ensuring a reliable and continuous water supply for all. Join us in making a meaningful impact-providing clean, safe water to enhance lives and sustain our communities. About us: At South Staffs Water, we deliver clean and reliable water supplies to around 1.7 million customers within the South Staffs and Cambridge regions. As a water only Company, providing clean, healthy water 24 hours a day, 365 days a year is at the very heart of what we do and that's where you come in. About the role: • Champion Human Organisation Performance (HOP) principles to drive health and safety performance improvements to mitigate critical risk / hazards. • Deliver water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Deliver annual unplanned interruption outcome delivery incentive (ODI). • Deliver maintenance, compliance, and team activities within annual operating expenditure budgets. • Continuous employee engagement, staff retention and team development. The key deliverables: • Effective leadership of Production teams across both operating regions • Management and implementation of industry leading Health & Safety standards associated with all operational staff and sites. • Providing direction, strategies and tracking operational performance to ensure compliance with Defra, EA, HSE, DWI standards. • Liaising with external bodies, auditors, review bodies and regulators • Evaluation of key business processes to ensure internal controls and risk measures are effective. • Ensuring sufficient competent staff are in place and that training is evaluated and maintained at the required standard. • Effectively managing budgets for operational and capital spend • Developing strategies and tactical plans for the risk-based optimisation of maintenance and reactive interventions • Developing strategies for the management of interventions to balance the operational risks of failure. • Overall accountability for Competent Operator Scheme compliance and assurance. • Responsible for water quality compliance risk index (CRI) outcome delivery incentive (ODI). • Being part of emergency/incident standby rota. What you'll need: • Experience of Production leadership roles in a Water/Energy or similar environment • The ability to think strategically, make decisions, and set priorities. • Ability to lead, develop and motivate distributed teams in an agile environment. • Demonstrate well-honed emotional intelligence and communication skills, able to influence and build effective relationships across a range of internal and external stakeholders and act as an ambassador for the business. • Experience of managing operating and capital budgets is essential. • Demonstrate the ability to engage with internal and external stakeholders at a senior level. • Educated to degree level or equivalent experience • NEBOSH Diploma or NVQ Level 5 Diploma in H&S desired. • Hold or working towards Chartership of an Institution desired • Must hold a full UK Driving Licence. What you'll get in return: • Basic salary to £75k DOE • Bonus up to 10% • Car/Car Allowance • Matched pension contributions • Employee assistance and wellbeing programme • Private Health • Retail discounts • On-site gym • On-site nursery
Role Title: Digital Lab Systems Engineer (Test Engineer) Duration: 12 months Location: Harwell, UK (Hybrid) Rate: £300 per day - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role summary The Digital Lab System Engineer will support the delivery of software solutions to enable the operation of laboratory equipment in Quality Control for the QC Labs in Harwell UK. This role will be actively involved in the complete life cycle for laboratory digital solutions. Mainly initial qualification and deployment, but also post-production administration, maintenance activities and system retirement. Here's What You'll Do: Coordinate activities related to the delivery of bench-top laboratory systems for QC Labs in Harwell. Work independently to develop and author System requirements, System Configuration Specification, System Administration SOP, execute test scripts following cGxP. Author, review and approve life cycle documents like Impact assessment, Regulatory applicability and criticality assessments, ERES assessments, etc. Provide administrative support to operate systems and instruments including role management, access management and configuration maintenance. Represent Digital Quality in system validation activities in conjunction with IT Infra, Validation and QA related to implementation of new lab systems and instrument systems and their on-going support. Provide second-tier support to troubleshoot operation and interface of enterprise laboratory systems such as Chromeleon, LIMS, Logilab SDMS, MODA, etc. Provide root cause analysis and triage support to resolve technical issues and deviation investigations related to the operations of lab systems. Participate in the periodic reviews of the systems used in the QC Laboratories, support periodic maintenance activities on the digital systems and assist as digital administrator for the systems. Onsite support will be required. Additional duties may be assigned from time to time. Key Skills/requirements Experience with lab systems, lab instruments or lab automation, implementing and maintaining laboratory systems. Experience authoring and reviewing computer system validation life cycle documents. Experience with CFR21 Part11 and Annex 11 regulations. Good understanding of digital network principles (segmentation, VLANs, Firewall rules). Solid experience with Microsoft Windows environments (client and server). Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong proficiency in English. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
17/05/2024
Project-based
Role Title: Digital Lab Systems Engineer (Test Engineer) Duration: 12 months Location: Harwell, UK (Hybrid) Rate: £300 per day - Umbrella only Would you like to join a global leader in consulting, technology services and digital transformation? Our client is at the forefront of innovation to address the entire breadth of opportunities in the evolving world of cloud, digital and platforms. Role summary The Digital Lab System Engineer will support the delivery of software solutions to enable the operation of laboratory equipment in Quality Control for the QC Labs in Harwell UK. This role will be actively involved in the complete life cycle for laboratory digital solutions. Mainly initial qualification and deployment, but also post-production administration, maintenance activities and system retirement. Here's What You'll Do: Coordinate activities related to the delivery of bench-top laboratory systems for QC Labs in Harwell. Work independently to develop and author System requirements, System Configuration Specification, System Administration SOP, execute test scripts following cGxP. Author, review and approve life cycle documents like Impact assessment, Regulatory applicability and criticality assessments, ERES assessments, etc. Provide administrative support to operate systems and instruments including role management, access management and configuration maintenance. Represent Digital Quality in system validation activities in conjunction with IT Infra, Validation and QA related to implementation of new lab systems and instrument systems and their on-going support. Provide second-tier support to troubleshoot operation and interface of enterprise laboratory systems such as Chromeleon, LIMS, Logilab SDMS, MODA, etc. Provide root cause analysis and triage support to resolve technical issues and deviation investigations related to the operations of lab systems. Participate in the periodic reviews of the systems used in the QC Laboratories, support periodic maintenance activities on the digital systems and assist as digital administrator for the systems. Onsite support will be required. Additional duties may be assigned from time to time. Key Skills/requirements Experience with lab systems, lab instruments or lab automation, implementing and maintaining laboratory systems. Experience authoring and reviewing computer system validation life cycle documents. Experience with CFR21 Part11 and Annex 11 regulations. Good understanding of digital network principles (segmentation, VLANs, Firewall rules). Solid experience with Microsoft Windows environments (client and server). Demonstrated ability to work independently and collaboratively in cross-functional teams. Strong proficiency in English. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!
Network engineer - Bilingual (English & Mandarin) Up to £60,000 per annum + benefits Minimum 3 years experience managing CDNs in an MSP Must have CCNP qualification Bi-Lingual in English and Mandarin Spectrum IT has partnered with a global leader in Content delivery networks. With a global network of over 2800 PoPs and more than 20 years of technology expertise, their goal is to ensure that users have the best experience while providing a secure network that fosters the development of the Internet. As part of their continued growth and expansion in the EMEA region they need a network engineer to join their London team. As a network engineer cooperatively manage and support hundreds POP network with dozens of ISPs across the globe, including, but not limited to, POP build out and redesign, BGP optimization, ISP coordination, and daily operations. The must have skills/experience: Bachelor's degree or equivalent in computer science or a similar technical discipline CCNP certified or higher Strong experience in administering a large-scale, highly distributed service network for 24x7 production, preferably for revenue generation and not enterprise support Strong hands-on experience with configuring, maintaining, and troubleshooting a BGP network Strong knowledge of Internet protocols (TCP/IP, HTTP, VPN, etc.) Strong experience with layer 3 routing and layer 2 switching Experience with Ethernet troubleshooting tools and methods A strong detail orientated approach Strong communication skills Beneficial but not essential skills/experience: Bi-Lingual with high level of English and mandarin skills A self-starter who can work with independence and little supervision To apply or hear more about this role, please contact (see below) or call Please note candidates must be UK based and possess a British passport or indefinite leave to remain in the UK. We cannot consider applications from those on PSW visa's or tier 2 spousal visas. This role is open to hybrid working but applications from candidates looking to relocate from abroad or un-commutable distances from the Southampton office cannot be considered. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
17/05/2024
Full time
Network engineer - Bilingual (English & Mandarin) Up to £60,000 per annum + benefits Minimum 3 years experience managing CDNs in an MSP Must have CCNP qualification Bi-Lingual in English and Mandarin Spectrum IT has partnered with a global leader in Content delivery networks. With a global network of over 2800 PoPs and more than 20 years of technology expertise, their goal is to ensure that users have the best experience while providing a secure network that fosters the development of the Internet. As part of their continued growth and expansion in the EMEA region they need a network engineer to join their London team. As a network engineer cooperatively manage and support hundreds POP network with dozens of ISPs across the globe, including, but not limited to, POP build out and redesign, BGP optimization, ISP coordination, and daily operations. The must have skills/experience: Bachelor's degree or equivalent in computer science or a similar technical discipline CCNP certified or higher Strong experience in administering a large-scale, highly distributed service network for 24x7 production, preferably for revenue generation and not enterprise support Strong hands-on experience with configuring, maintaining, and troubleshooting a BGP network Strong knowledge of Internet protocols (TCP/IP, HTTP, VPN, etc.) Strong experience with layer 3 routing and layer 2 switching Experience with Ethernet troubleshooting tools and methods A strong detail orientated approach Strong communication skills Beneficial but not essential skills/experience: Bi-Lingual with high level of English and mandarin skills A self-starter who can work with independence and little supervision To apply or hear more about this role, please contact (see below) or call Please note candidates must be UK based and possess a British passport or indefinite leave to remain in the UK. We cannot consider applications from those on PSW visa's or tier 2 spousal visas. This role is open to hybrid working but applications from candidates looking to relocate from abroad or un-commutable distances from the Southampton office cannot be considered. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Wireperson | Stone (Staffordshire) | £27,000 pa | Fully on-site | NVQ 1 + Level Needed Yolk Recruitment are working with a market leader in advanced system integration within the energy sector. They're investing heavily in their Stone site and are looking for an experienced Wireperson to join their energy division. If successful you will join an experienced team working within the Electrical control wire assembly and test team working across a variety of small and large scale projects for clients within the energy industry. Due to the industry you will need to be eligible for BPSS clearance. This is what you will be doing: The assembly and wiring of electrical components, of varying size and complexity using drawings, parts lists and specifications Mechanical assembly of cubicles and framework Bench assembly of electrical sub-assemblies Quality of own work and rework identified during inspection and test Working to agreed on company standards and procedures Completion of assembly record cards to ensure traceability and identification of serial numbered components Updating electronic issues log and communicating directly with responsible design engineers The experience you will bring to the team: At least 2 years experience Ability to read and understand electrical schematic drawings Ability to manage your time to successfully complete all assigned tasks within agreed timescales Experience leading a production Bay to ensure everyone within that Bay is working to the correct standards Experience completing assembly record cards. What you will receive in return: Private medical insurance Attractive pension package 25 days holiday (bank holidays on top) Flexible working options
17/05/2024
Full time
Wireperson | Stone (Staffordshire) | £27,000 pa | Fully on-site | NVQ 1 + Level Needed Yolk Recruitment are working with a market leader in advanced system integration within the energy sector. They're investing heavily in their Stone site and are looking for an experienced Wireperson to join their energy division. If successful you will join an experienced team working within the Electrical control wire assembly and test team working across a variety of small and large scale projects for clients within the energy industry. Due to the industry you will need to be eligible for BPSS clearance. This is what you will be doing: The assembly and wiring of electrical components, of varying size and complexity using drawings, parts lists and specifications Mechanical assembly of cubicles and framework Bench assembly of electrical sub-assemblies Quality of own work and rework identified during inspection and test Working to agreed on company standards and procedures Completion of assembly record cards to ensure traceability and identification of serial numbered components Updating electronic issues log and communicating directly with responsible design engineers The experience you will bring to the team: At least 2 years experience Ability to read and understand electrical schematic drawings Ability to manage your time to successfully complete all assigned tasks within agreed timescales Experience leading a production Bay to ensure everyone within that Bay is working to the correct standards Experience completing assembly record cards. What you will receive in return: Private medical insurance Attractive pension package 25 days holiday (bank holidays on top) Flexible working options
Panels Structures Assembly Technician £23.82 per hour. Umbrella. Stevenage - 5 days onsite. Certain Advantage is hiring for a Panels Structures Assembly Technician based in Stevenage. This role is on a 6-month contract basis and is office based. Working within the operations team to consistently produce items which conform to all quality requirements in accordance with the production plan. Does this sound like your next career move? If you're ambitious to grow, this may be your next role. The role: Highlight any anomalies and second close non-conformances where applicable, and proactively liaise with the Team Leader/Engineering to update paper works to reflect build sequence and data capture requirements. To work in accordance with LDS (local document system) describing methods and procedures. Complying with standard processes, specific area requirements and health and safety requirements. Promote and follow Cleanroom regulations, local area health and safety requirements and 5S policy within local work areas Ability to read and work to shop floor documentation such as routings, drawing, work instructions and bills of material. Working to the required process standard as dictated by the relevant area skills Matrix. Responsible for the completion of all paperwork relating to the operations undertaken, including traceability stamps and recording any other additional information as required. Reporting and highlighting errors to ME where applicable. Taking progress and reporting to Lead Technician/Team Lead when required. The individual We are looking for people who can show: Previous experience such as Composite manufacturing, mechanical fitter, close tolerance sheet metal worker, time served mechanical technician. Ability to work from detailed drawings and electronic work instructions - within specific procedures. Experience in industries such as Space/Aerospace/Automotive/Motorsport etc. Ability to work in confined spaces above floor level (Working at height) Experience of working within a clean room environment and of being part of a team and leading activities. City and guilds qualification or Btech National Manual Dexterity Does this sound like your next career move? Apply today! (Reference: 73003) Working with Certain Advantage We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.
17/05/2024
Project-based
Panels Structures Assembly Technician £23.82 per hour. Umbrella. Stevenage - 5 days onsite. Certain Advantage is hiring for a Panels Structures Assembly Technician based in Stevenage. This role is on a 6-month contract basis and is office based. Working within the operations team to consistently produce items which conform to all quality requirements in accordance with the production plan. Does this sound like your next career move? If you're ambitious to grow, this may be your next role. The role: Highlight any anomalies and second close non-conformances where applicable, and proactively liaise with the Team Leader/Engineering to update paper works to reflect build sequence and data capture requirements. To work in accordance with LDS (local document system) describing methods and procedures. Complying with standard processes, specific area requirements and health and safety requirements. Promote and follow Cleanroom regulations, local area health and safety requirements and 5S policy within local work areas Ability to read and work to shop floor documentation such as routings, drawing, work instructions and bills of material. Working to the required process standard as dictated by the relevant area skills Matrix. Responsible for the completion of all paperwork relating to the operations undertaken, including traceability stamps and recording any other additional information as required. Reporting and highlighting errors to ME where applicable. Taking progress and reporting to Lead Technician/Team Lead when required. The individual We are looking for people who can show: Previous experience such as Composite manufacturing, mechanical fitter, close tolerance sheet metal worker, time served mechanical technician. Ability to work from detailed drawings and electronic work instructions - within specific procedures. Experience in industries such as Space/Aerospace/Automotive/Motorsport etc. Ability to work in confined spaces above floor level (Working at height) Experience of working within a clean room environment and of being part of a team and leading activities. City and guilds qualification or Btech National Manual Dexterity Does this sound like your next career move? Apply today! (Reference: 73003) Working with Certain Advantage We go the extra mile to find the best people for the job. If you're hunting for a role where you can make an impact and grow your career, we'll work with you to find it. We work with businesses across the UK to find the best people in Finance, Marketing, IT and Engineering.
Senior Electronics Engineer Lynx is representing a rapidly growing company in Bristol, seeking an innovative Senior Electronics Engineer to join a team developing next-generation detection and sensing systems. You will play a leading role evolving cutting-edge products from concept through production. You Will: Drive analog and mixed-signal circuit design, analysis, prototyping and testing Define and execute technology roadmaps, research, system architecture Lead projects and cross-functional engineering teams Collaborate with software, production and field teams Mentor and develop junior engineers Author documentation, interface with customers We Require: Degree in electronics engineering or equivalent 8+ years hands-on hardware development experience Specialization in analog IC design, instrumentation, test philosophy Leadership: strategising, directing projects, motivating teams Programming: Python, MATLAB preferred Creative problem-solving, fast learner, passion for innovation We Offer: Competitive salary up to £70k Hybrid remote/office work environment Flexible hours, parental leave, sabbatical options Chance to pioneer future of detection technologies Learning/development budget New, modern and accessible facilities Relocation assistance available If you want to create breakthrough engineered products that push boundaries, we would love to hear from you. Apply today!
17/05/2024
Full time
Senior Electronics Engineer Lynx is representing a rapidly growing company in Bristol, seeking an innovative Senior Electronics Engineer to join a team developing next-generation detection and sensing systems. You will play a leading role evolving cutting-edge products from concept through production. You Will: Drive analog and mixed-signal circuit design, analysis, prototyping and testing Define and execute technology roadmaps, research, system architecture Lead projects and cross-functional engineering teams Collaborate with software, production and field teams Mentor and develop junior engineers Author documentation, interface with customers We Require: Degree in electronics engineering or equivalent 8+ years hands-on hardware development experience Specialization in analog IC design, instrumentation, test philosophy Leadership: strategising, directing projects, motivating teams Programming: Python, MATLAB preferred Creative problem-solving, fast learner, passion for innovation We Offer: Competitive salary up to £70k Hybrid remote/office work environment Flexible hours, parental leave, sabbatical options Chance to pioneer future of detection technologies Learning/development budget New, modern and accessible facilities Relocation assistance available If you want to create breakthrough engineered products that push boundaries, we would love to hear from you. Apply today!
*We are unable to sponsor for this contract role* Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Candidate will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Responsibilities: Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Become an expert in business rules, system functionality and architecture. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Contribute to and maintain project documentation. Provide concise and consistent status reporting. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Maintain close interaction with business and technical peers during the project life cycle. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Identify process bottlenecks and suggest improvement actions. Stay abreast of emerging technologies and testing approaches. Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications Bachelor's degree in Computer Science or related area. Hands-on experience using SQL queries for results validation and data mining. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. At least 3-5 years of professional experience on a variety of projects in Test Strategy, Test Design, Test Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
16/05/2024
Project-based
*We are unable to sponsor for this contract role* Prestigious Enterprise Company is currently seeking a Data Quality Test Engineer with SQL testing experience. Candidate will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. This is a hands-on testing position which requires deep knowledge and understanding of all aspects of developing and executing Back End testing. The Test Engineer must be an advocate for all things Testing and Quality Assurance while driving and implementing best practices. The ideal candidate must possess strong analytical and critical thinking abilities. Data testing skills are required. Responsibilities: Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Become an expert in business rules, system functionality and architecture. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Contribute to and maintain project documentation. Provide concise and consistent status reporting. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Maintain close interaction with business and technical peers during the project life cycle. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Identify process bottlenecks and suggest improvement actions. Stay abreast of emerging technologies and testing approaches. Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications Bachelor's degree in Computer Science or related area. Hands-on experience using SQL queries for results validation and data mining. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. At least 3-5 years of professional experience on a variety of projects in Test Strategy, Test Design, Test Execution analysis & reporting. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Understanding of Development and Test cycles, including respective best practices. Hands-on experience in Agile and Waterfall methodologies. Ability to troubleshoot issues, identifying root causes and support development team in development of resolutions. Strong communication and Client/Business interfacing and interpersonal skills are a must.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Institution is currently seeking a Director of Risk Management Software Engineering. Candidate will be responsible for functions within Quantitative Risk Management for developing and maintaining risk models for margin, clearing fund and stress testing with the focus on developing and maintaining risk model software in production, and environments and infrastructure used in model implementation and testing. Responsibilities: Collaborate with other developers, quantitative analysts, business users, data & technology staff to expand QRM's technical capabilities for model development, back-testing and monitoring. Develop and maintain software and environments used to implement and test systems for pricing, margin risk and stress testing of financial products and derivatives. Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Develop CI/CD pipelines. Configure, execute, and monitor execution pipelines for model testing, back-testing and monitoring. Contribute to development of QRM's databases and ETLs. Integrate model prototypes, model library and model testing tools using best industry practices and innovations. Create unit and integration tests; build and enhance test automation tools. Participate in code reviews and demo accomplishments. Write technical documentation and user manuals. Provide production support and perform troubleshooting. Provide hands-on technical leadership and active coordination of tasks and priorities. Provide guidance and support for the team and reporting for the management. Qualifications: Strong programming skills. Able to read and/or write code using a programming language (eg, Java, C++, Python, etc.) in a collaborative software development setting: The role requires advanced coding, database and environment manipulation skills. Track record of complex production implementations and a demonstrated ability in developing and maintaining enterprise level software, including in the cloud environment. Proficiency in technical and/or scientific documentation (eg, white papers, user guides, etc.) Strong problem-solving skills: Be able to accurately identify a problem's source, severity, and impact to determine possible solutions and needed resources. Experience with Agile/SCRUM or another rapid development framework. Financial products knowledge is a plus: understanding of markets and financial derivatives in equities, interest rate, and commodity products. Background in Financial mathematics is a plus: derivatives pricing models, stochastic calculus, statistics and probability theory, linear algebra. Master's degree or equivalent in a computational or numerical field such as computer science, information systems, mathematics, physics 10+ years of experience as a software developer with exposure to the cloud or high-performance computing areas Technical Skills: Proficiency in Java (preferred) or another object-oriented language is required, including effective application of design patterns and best coding practices. DevOps experience, with a good command of CI/CD process and tools (eg, Git, GitHub, Gradle, Jenkins, Docker, Helm, Harness). Experience in containerized deployment in cloud environments. Experienced with cloud technology (AWS preferred), infrastructure-as-code (eg Terraform), managing and orchestrating containerized workloads (eg Kubernetes). Experience with logging, profiling, monitoring, telemetry (eg Splunk, OpenTelemetry). Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers). Experience with automated quality assurance frameworks (eg, Junit, TestNG, PyTest, etc.). Experience with high performance and distributed computing. Experience with productivity tools such as Jira, Confluence, MS Office. Experience with Scripting languages such as Python is a plus. Experience with numerical libraries and/or scientific computing is a plus.
*We are unable to sponsor for this role* *At the minimum year-long contract* A prestigious company is on the search for a Data Quality Test Engineer. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications: Bachelor's degree in Computer Science or related area. At least 3-5 years of testing experience in data or ETL projects. Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Hands-on experience in Agile and Waterfall methodologies.
16/05/2024
Project-based
*We are unable to sponsor for this role* *At the minimum year-long contract* A prestigious company is on the search for a Data Quality Test Engineer. The Test Engineer will be responsible for ensuring the successful implementation of new features as well as improvement of existing functionality for data architecture projects. This includes Integration testing, Customer Data Quality testing, Data verification testing, Regression testing etc. Responsibilities Review business requirements, functional specifications, use cases, design, and architecture documents to create effective, value-add test plans. Identify and close gaps, by assisting in QA discovery or analysis of a built or process, in order to facilitate requirements refinements. Identify issues in data, application configurations and screen designs, report and oversee issue resolution. Plan and execute Manual, Functional, and Regression test suite. Independently develop, modify, and execute test plans based on requirements and design documents. Identify, report and track defects and User Experience issues through a system of record. Collaborate with external teams on root cause analysis. Ensuring proper traceability from requirements to test artifacts. Actively participate in requirements and code reviews. Actively participate and drive improvements in Agile Scrum delivery. Be a thought leader in the test design and execution arena (manual and automated). Creation and input of test data, either manually or by using tools, programs, or masked production data to execute test cases. Qualifications: Bachelor's degree in Computer Science or related area. At least 3-5 years of testing experience in data or ETL projects. Strong experience with writing queries in relational databases like Oracle and SQL server. Familiar with SQL server queries including calling stored procedures by passing parameters, functions, views, and indexes to be used during ETL process. Possess extensive and in-depth knowledge of developing SQL scripts using SQL functions, grouping operations, sub queries, analytical function and joins to test ETL projects. ETL testing using SQL server Integration Services (SSIS) and SSRS. Experience in testing database applications to validate source to destination data movement and transformation. Knowledge of automated data testing is preferred. Hands-on experience in Planning and Manual test execution. Experience in Regression Test Strategies, Regression suite maintenance and execution. Hands-on experience with Jira, ALM, TFS/ADO or similar systems of record. Hands-on experience in Agile and Waterfall methodologies.
Job Title - Service Management Lead - Finance Shared Services Location - Newcastle Upon Tyne - Hybrid (3 dpw on-site) Salary - £40 - £45K Per Annum Benefits - Excellent Benefits The Client - Curo are Partnering with a Global Organisation, consisting of Designers, Engineers and Consultants, dedicated to sustainable development. They support their clients to solve the most complex challenges, turning their ideas into reality, leveraging the latest technology. The Candidate - This role requires a candidate with excellent commercial acumen, who can ensure consistency with professional and clear formatted documents. This role will be focused on the on the process of on boarding of new client accounts, including monthly reporting packs, service review documents, and documenting financial processes. There will be no team or stakeholder management, this is a project based role in support of the Delivery Managers. There will be involvement in client review meetings, however this will be from the perspective of governance and risk, and ensuring that actions and follow up's are recorded. This role requires a natural rapport builder with the ability to manage up and down, as well as being able to take stock and document current processes, and support in change management. The key deliverable is a Service Catalogue, with new uniform processes and procedures, to maximise efficiency, and streamline where possible. The Role - The Service Management Lead, in Finance Shared Services is responsible for leading the global implementation and operation of processes and activities to facilitate the effective governance of services provided by the Finance SSC teams. This includes the documentation and definition of the services provided to each country supported, the establishment and agreement of targets to be delivered from the services, the establishment and coordination of a consistent service review process with agreed stakeholders and SSC members, the tracking of actions and status and effective change control to manage changes in scope of services. The Service Management Lead enables and facilitates the governance processes as a support to the SSC leadership, but accountability for the services and outcomes sits with the operational teams in the SSC. Key responsibilities: Establish and maintain a service definition to ensure ongoing clarity in scope of service expected outcomes for all countries supported Develop RACI (Responsible, Accountable, Consulted, and Informed) documentation for the activities supported, clarifying respective responsibilities between the SSC and its partners. Facilitate review between SSC managers and SSC stakeholders to align on definition of service Work with the SSC managers to propose appropriate Service Levels and KPIs (Key Performance Indicators) for the services delivered and support the agreement of these metrics with Stakeholders. Establish and oversee a program of standardized service review meetings between SSC and internal customers to discuss service progress, process performance, issues, and challenges, ensuring the outcomes to the meetings are captured and actions followed up on both the customer and SSC sides. Establish a change control process to allow for appropriate review of services provided and changes requested with a view to maximizing standardization, ensuring effective resourcing and realistic deliverables. Ensure compliance with relevant laws, regulations, and global standard policies and procedures including tax and accounting regulations. Define, implement, and maintain documentation online to maximize the transparency of all aspects of the services provided and processes supported. Requirements: Experience in a highly governed or regulated environment such as financial services or shared services or outsourcing Expertise in stakeholder management, preferably in a complex environment Excellent understanding of finance processes Background in process mapping and documentation, with expertise in production of service definition/contractual scoping documentation. First-hand experience of operational environments where the governance of service has been necessary to ensure successful delivery Expert in the production of RACI documentation Excellent relationship builder, maximizing trust and reliability Superb communicator Advanced MS Office skills with the ability to present information in a credible and professional structure and format to support buy in. Curious and interested mindset who will constantly seek to understand and improve the understanding of others A partner and supportive approach to the work aimed at promoting and recognizing the efforts and achievements of SSC teams to support building their confidence and sense of fulfilment. To apply for this Service Management Lead - Finance Shared Services permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
16/05/2024
Full time
Job Title - Service Management Lead - Finance Shared Services Location - Newcastle Upon Tyne - Hybrid (3 dpw on-site) Salary - £40 - £45K Per Annum Benefits - Excellent Benefits The Client - Curo are Partnering with a Global Organisation, consisting of Designers, Engineers and Consultants, dedicated to sustainable development. They support their clients to solve the most complex challenges, turning their ideas into reality, leveraging the latest technology. The Candidate - This role requires a candidate with excellent commercial acumen, who can ensure consistency with professional and clear formatted documents. This role will be focused on the on the process of on boarding of new client accounts, including monthly reporting packs, service review documents, and documenting financial processes. There will be no team or stakeholder management, this is a project based role in support of the Delivery Managers. There will be involvement in client review meetings, however this will be from the perspective of governance and risk, and ensuring that actions and follow up's are recorded. This role requires a natural rapport builder with the ability to manage up and down, as well as being able to take stock and document current processes, and support in change management. The key deliverable is a Service Catalogue, with new uniform processes and procedures, to maximise efficiency, and streamline where possible. The Role - The Service Management Lead, in Finance Shared Services is responsible for leading the global implementation and operation of processes and activities to facilitate the effective governance of services provided by the Finance SSC teams. This includes the documentation and definition of the services provided to each country supported, the establishment and agreement of targets to be delivered from the services, the establishment and coordination of a consistent service review process with agreed stakeholders and SSC members, the tracking of actions and status and effective change control to manage changes in scope of services. The Service Management Lead enables and facilitates the governance processes as a support to the SSC leadership, but accountability for the services and outcomes sits with the operational teams in the SSC. Key responsibilities: Establish and maintain a service definition to ensure ongoing clarity in scope of service expected outcomes for all countries supported Develop RACI (Responsible, Accountable, Consulted, and Informed) documentation for the activities supported, clarifying respective responsibilities between the SSC and its partners. Facilitate review between SSC managers and SSC stakeholders to align on definition of service Work with the SSC managers to propose appropriate Service Levels and KPIs (Key Performance Indicators) for the services delivered and support the agreement of these metrics with Stakeholders. Establish and oversee a program of standardized service review meetings between SSC and internal customers to discuss service progress, process performance, issues, and challenges, ensuring the outcomes to the meetings are captured and actions followed up on both the customer and SSC sides. Establish a change control process to allow for appropriate review of services provided and changes requested with a view to maximizing standardization, ensuring effective resourcing and realistic deliverables. Ensure compliance with relevant laws, regulations, and global standard policies and procedures including tax and accounting regulations. Define, implement, and maintain documentation online to maximize the transparency of all aspects of the services provided and processes supported. Requirements: Experience in a highly governed or regulated environment such as financial services or shared services or outsourcing Expertise in stakeholder management, preferably in a complex environment Excellent understanding of finance processes Background in process mapping and documentation, with expertise in production of service definition/contractual scoping documentation. First-hand experience of operational environments where the governance of service has been necessary to ensure successful delivery Expert in the production of RACI documentation Excellent relationship builder, maximizing trust and reliability Superb communicator Advanced MS Office skills with the ability to present information in a credible and professional structure and format to support buy in. Curious and interested mindset who will constantly seek to understand and improve the understanding of others A partner and supportive approach to the work aimed at promoting and recognizing the efforts and achievements of SSC teams to support building their confidence and sense of fulfilment. To apply for this Service Management Lead - Finance Shared Services permanent job, please click the button below and submit your latest CV. Curo Services endeavours to respond to all applications, however this may not always be possible during periods of high volume. Thank you for your patience. Curo Services is a trading name of Curo Resourcing Ltd and acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
Request Technology - Craig Johnson
Chicago, Illinois
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
16/05/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Financial Company is currently seeking an AWS DevOps Software Engineer. Candidate will provide subject matter expertise for ongoing support of applications deployed to non-production AWS environments and supporting 3rd party applications. Identify root causes and automate solutions in support of development. Candidate will have a deep understanding of DevOps practices, leadership skills, and expertise in various tools and technologies. You will be working in a fast-paced, dynamic environment, using cutting-edge tools and cloud technologies. Manage day to day activities when called upon. Responsibilities: Desing Develop release and support, Cloud Native applications running on Containers Kubernetes and Docker within AWS. DevOps Strategy: Develop and implement DevOps strategies and best practices to enhance development, testing, and deployment processes. Possess in-depth knowledge and hands-on experience with DevOps tools and technologies, including but not limited to GitHub, Jenkins, Terraform, Ansible, Kafka, AWS, Apigee. Support the lower environments for incident and problem management. Resolve complex support issues in non-production environments. Create procedural and troubleshooting documentation related to cloud native applications. Write complex automation scripts using common automation tools, such as yaml, Json, Bash, Groovy, Ansible, Terraform and python, Perform other duties as assigned Qualifications: Excellent problem-solving skills. Ability to work independently. Ability to work with management to prioritize tasks. Demonstrate strong confidence in abilities and knowledge. Ability to work well in crisis situations. Ability to work under minimal supervision. Flexibility to be on call from 5 PM to 7 AM for 3 months per year. Good written and oral communication skills. Technical Skills: Expertise on Kubernetes and Docker, including best practices Expertise in cloud containerization; design, develop and troubleshoot Strong programming or Scripting skills in yaml, Helm Charts, Json, Bash, Groovy, Ansible, Terraform, python or Java. Advance level on Networking technologies CI/CD tools such as Artifactory, Jenkins, and GIT, SonarQube Experience with cloud-based systems such as AWS, Azure, or Google Cloud, including expertise in IaC and CaC; Ansible, Terraform Experience with Kafka infrastructure and processes Understanding of software development methodologies and Agile practices Excellent analytical and problem-solving skills, with the ability to troubleshoot and identify the root cause of issues Good verbal and written communication skills, with the ability to collaborate effectively with cross-functional teams. Familiarity with monitoring and logging tools such Elk stack, Splunk. Familiarity with Technologies used to support microservices. Minimum 7 years experience working in a distributed multi-platform environment. Minimum 3 years experience working with Kubernetes. Minimum 3 years experience working on Scripting or Programming Bachelor's degree in a related area Cloud Certification a plus
CNC MILLER SETTER OPERATOR REPORTING TO: PRODUCTION MANAGER Due to my client's continued expansion and strong product portfolio across both motorsport and future automotive, we are looking to recruit a CNC Miller Setter Operator to support Production. My client is relied upon by many of the world's top motorsport teams, performance car constructors, hybrid and electric transportation innovators to extract the performance and reliability they require to get their high-performance transmission challenges done. Whatever the nature of your next motorsport or vehicle engineering project might be, my client can help with off-the shelf and bespoke solutions along with design consulting and manufacturing expertise. At my client, we believe that good customer service is every bit as important as a strong product. DUTIES AND RESPONSIBILITIES INCLUDE: Cleanliness of work station and maintenance of machines while during and at the end of their shift in line with company TPM Schedule Reading and interpreting engineering drawings Setting and operating milling machines to required tolerance Use of manual measuring equipment Tool setting on CNC Machines Programme proving of new products as and when required. Actively provide details of changes to correct/improve programs that go towards improving machining performance Loading and unloading parts onto machines Maintain notes (machine log book) on current process identifying any issues for following shift Use of Fanuc controls Tapping and Deburring where required Help and assist other members of the milling cell when required Following daily work to do lists to follow the production schedule issued by Team Leader Take care not to cause harm to yourself, a colleague, visitors, customers or contractors Adhere to all quality, Health and Safety and environmental policies, manuals, objectives, process, procedures and work instructions Actively participate in the [COMPANY] Think Smart/Safe programme Wear appropriate personal protective equipment (PPE) - be accountable for notifying Health and Safety when in need of replacements Liaising with production engineering, design and inspection as and when required Any additional tasks required THE IDEAL CANDIDATE MUST HAVE/SKILLS REQUIRED: Attention to detail Initiative Can-do attitude Confidentiality Customer Service Focus Team player EXPERIENCE IN THE FOLLOWING AREAS WILL BE REQUIRED: 3-5 Years relevant production experience Experience of Milling Operations Willing to work shifts and unsociable hours High attention to detail Required to work overtime in line with company needs DESIRABLE: Experience of a high-quality Manufacturing environment Have previously run Matsuura 3-4-5 axis milling machines or similar Minor Fanuc programme editing Excellent communication skills Good time management
16/05/2024
Full time
CNC MILLER SETTER OPERATOR REPORTING TO: PRODUCTION MANAGER Due to my client's continued expansion and strong product portfolio across both motorsport and future automotive, we are looking to recruit a CNC Miller Setter Operator to support Production. My client is relied upon by many of the world's top motorsport teams, performance car constructors, hybrid and electric transportation innovators to extract the performance and reliability they require to get their high-performance transmission challenges done. Whatever the nature of your next motorsport or vehicle engineering project might be, my client can help with off-the shelf and bespoke solutions along with design consulting and manufacturing expertise. At my client, we believe that good customer service is every bit as important as a strong product. DUTIES AND RESPONSIBILITIES INCLUDE: Cleanliness of work station and maintenance of machines while during and at the end of their shift in line with company TPM Schedule Reading and interpreting engineering drawings Setting and operating milling machines to required tolerance Use of manual measuring equipment Tool setting on CNC Machines Programme proving of new products as and when required. Actively provide details of changes to correct/improve programs that go towards improving machining performance Loading and unloading parts onto machines Maintain notes (machine log book) on current process identifying any issues for following shift Use of Fanuc controls Tapping and Deburring where required Help and assist other members of the milling cell when required Following daily work to do lists to follow the production schedule issued by Team Leader Take care not to cause harm to yourself, a colleague, visitors, customers or contractors Adhere to all quality, Health and Safety and environmental policies, manuals, objectives, process, procedures and work instructions Actively participate in the [COMPANY] Think Smart/Safe programme Wear appropriate personal protective equipment (PPE) - be accountable for notifying Health and Safety when in need of replacements Liaising with production engineering, design and inspection as and when required Any additional tasks required THE IDEAL CANDIDATE MUST HAVE/SKILLS REQUIRED: Attention to detail Initiative Can-do attitude Confidentiality Customer Service Focus Team player EXPERIENCE IN THE FOLLOWING AREAS WILL BE REQUIRED: 3-5 Years relevant production experience Experience of Milling Operations Willing to work shifts and unsociable hours High attention to detail Required to work overtime in line with company needs DESIRABLE: Experience of a high-quality Manufacturing environment Have previously run Matsuura 3-4-5 axis milling machines or similar Minor Fanuc programme editing Excellent communication skills Good time management
Job Title: CNC Grinder Setter Operator Department: Production Reporting to: Production Supervisor Due to their continued expansion and strong product portfolio across both motorsport and future automotive, we are looking to recruit a CNC Grinder Setter Operator to support Production. Our client is relied upon by many of the world's top motorsport teams, performance car constructors, hybrid and electric transportation innovators to extract the performance and reliability they require to get their high-performance transmission challenges done. Whatever the nature of your next motorsport or vehicle engineering project might be, they can help with off-the shelf and bespoke solutions along with design consulting and manufacturing expertise. We believe that good customer service is every bit as important as a strong product. Duties and responsibilities include: Cleanliness of work station and maintenance of machines while during and at the end of their shift in line with company TPM Schedule Reading and interpreting engineering drawings Use of manual measuring equipment Produce programmes on the machine as and when new products arrive Loading and unloading parts onto machines Maintain notes (machine log book) on current process identifying any issues for following shift Machines include: Jones & Shipman 1300X, Studer S40, Studer S145, Jones & Shipman Techmaster 634 surface grinder Actively provide details of changes to correct/improve production of parts towards improving machining performance Help and assist other members of the grinding cell when required Following daily work to do lists to follow the production schedule issued by Team Leader Take care not to cause harm to yourself, a colleague, visitors, customers or contractors Adhere to all quality, Health and Safety and environmental policies, manuals, objectives, process, procedures and work instructions Actively participate in the Think Smart/Safe programme Wear appropriate personal protective equipment (PPE) - be accountable for notifying Health and Safety when in need of replacements Liaising with production engineering, design and inspection as and when required Any additional tasks required The ideal candidate must have/skills required: Attention to detail Initiative Can-do attitude Confidentiality Customer Service Focus Team player Experience in the following areas will be required: 3-5 Years relevant production experience Experience of Grinding Operations Willing to work shifts and unsociable hours High attention to detail Required to work overtime in line with company needs Desirable: Experience of a high-quality Manufacturing environment Writing & editing CNC Grinding programs. Excellent communication skills Good time management
16/05/2024
Full time
Job Title: CNC Grinder Setter Operator Department: Production Reporting to: Production Supervisor Due to their continued expansion and strong product portfolio across both motorsport and future automotive, we are looking to recruit a CNC Grinder Setter Operator to support Production. Our client is relied upon by many of the world's top motorsport teams, performance car constructors, hybrid and electric transportation innovators to extract the performance and reliability they require to get their high-performance transmission challenges done. Whatever the nature of your next motorsport or vehicle engineering project might be, they can help with off-the shelf and bespoke solutions along with design consulting and manufacturing expertise. We believe that good customer service is every bit as important as a strong product. Duties and responsibilities include: Cleanliness of work station and maintenance of machines while during and at the end of their shift in line with company TPM Schedule Reading and interpreting engineering drawings Use of manual measuring equipment Produce programmes on the machine as and when new products arrive Loading and unloading parts onto machines Maintain notes (machine log book) on current process identifying any issues for following shift Machines include: Jones & Shipman 1300X, Studer S40, Studer S145, Jones & Shipman Techmaster 634 surface grinder Actively provide details of changes to correct/improve production of parts towards improving machining performance Help and assist other members of the grinding cell when required Following daily work to do lists to follow the production schedule issued by Team Leader Take care not to cause harm to yourself, a colleague, visitors, customers or contractors Adhere to all quality, Health and Safety and environmental policies, manuals, objectives, process, procedures and work instructions Actively participate in the Think Smart/Safe programme Wear appropriate personal protective equipment (PPE) - be accountable for notifying Health and Safety when in need of replacements Liaising with production engineering, design and inspection as and when required Any additional tasks required The ideal candidate must have/skills required: Attention to detail Initiative Can-do attitude Confidentiality Customer Service Focus Team player Experience in the following areas will be required: 3-5 Years relevant production experience Experience of Grinding Operations Willing to work shifts and unsociable hours High attention to detail Required to work overtime in line with company needs Desirable: Experience of a high-quality Manufacturing environment Writing & editing CNC Grinding programs. Excellent communication skills Good time management