AI Specialist - Machine Learning & Generative AI Position Description At CGI, we're shaping the future through intelligent innovation. As an AI Specialist, you'll help clients unlock the transformative power of AI, designing and delivering solutions that drive efficiency, spark creativity, and deliver measurable business outcomes. You'll work at the forefront of Machine Learning, Generative AI, and Advanced Analytics, helping organisations reimagine their operations and make smarter, faster decisions. This is your opportunity to contribute to industry-defining projects, influence the direction of our growing AI Practice, and be part of a collaborative environment that empowers you to take ownership, innovate with purpose, and grow your expertise in a supportive community. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Find out more about our AI story here: Your future duties and responsibilities In this role, you will design and deliver innovative AI solutions that solve complex business challenges across multiple industries. Working closely with clients and CGI teams, you will lead the end-to-end development of AI systems, from opportunity identification to deployment, ensuring every solution is secure, scalable, and impactful. You'll translate ideas into outcomes, guiding AI adoption responsibly while driving measurable results for our clients. You'll also play a key role in advancing CGI's AI Practice by sharing best practices, mentoring colleagues, and helping shape our evolving AI strategy. You will thrive in an environment that encourages experimentation, collaboration, and continuous learning, where your creativity and curiosity directly contribute to CGI's success and client value. Key responsibilities: • Lead & Innovate: Collaborate with clients to assess needs, identify AI opportunities, and define clear solution requirements. • Develop & Deliver: Design and implement AI models using Machine Learning, NLP, Generative AI, and Advanced Analytics. • Strategise & Execute: Build AI roadmaps aligned with client goals and emerging technology trends. • Optimise & Automate: Oversee AI solution deployment, ensuring performance, scalability, and compliance. • Collaborate & Mentor: Support knowledge sharing, guide junior colleagues, and promote responsible AI adoption. • Evolve & Enhance: Stay ahead of emerging AI tools and methodologies to continually refine delivery excellence. Required qualifications to be successful in this role You will bring a strong technical foundation in AI and a track record of delivering impactful AI solutions. A passion for innovation, curiosity about emerging technologies, and the ability to communicate complex concepts clearly are essential. You should have: • Proven experience delivering AI solutions in commercial environments. • Expertise in Machine Learning, Generative AI, NLP, and Advanced Analytics. • Proficiency in Python and AI frameworks (e.g., TensorFlow, PyTorch, LangChain). • Knowledge of data engineering and MLOps practices. • Familiarity with cloud platforms (AWS, Azure, or GCP). • Strong problem-solving, analytical, and communication skills. • Ability to collaborate effectively in multidisciplinary teams. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Dec 09, 2025
Full time
AI Specialist - Machine Learning & Generative AI Position Description At CGI, we're shaping the future through intelligent innovation. As an AI Specialist, you'll help clients unlock the transformative power of AI, designing and delivering solutions that drive efficiency, spark creativity, and deliver measurable business outcomes. You'll work at the forefront of Machine Learning, Generative AI, and Advanced Analytics, helping organisations reimagine their operations and make smarter, faster decisions. This is your opportunity to contribute to industry-defining projects, influence the direction of our growing AI Practice, and be part of a collaborative environment that empowers you to take ownership, innovate with purpose, and grow your expertise in a supportive community. CGI was recognised in the Sunday Times Best Places to Work List 2025 and has been named a UK 'Best Employer' by the Financial Times. We offer a competitive salary, excellent pension, private healthcare, plus a share scheme (3.5% + 3.5% matching) which makes you a CGI Partner not just an employee. We are committed to inclusivity, building a genuinely diverse community of tech talent and inspiring everyone to pursue careers in our sector, including our Armed Forces, and are proud to hold a Gold Award in recognition of our support of the Armed Forces Corporate Covenant. Join us and you'll be part of an open, friendly community of experts. We'll train and support you in taking your career wherever you want it to go. Due to the secure nature of the programme, you will need to hold UK Security Clearance or be eligible to go through this clearance. This is a hybrid position. Find out more about our AI story here: Your future duties and responsibilities In this role, you will design and deliver innovative AI solutions that solve complex business challenges across multiple industries. Working closely with clients and CGI teams, you will lead the end-to-end development of AI systems, from opportunity identification to deployment, ensuring every solution is secure, scalable, and impactful. You'll translate ideas into outcomes, guiding AI adoption responsibly while driving measurable results for our clients. You'll also play a key role in advancing CGI's AI Practice by sharing best practices, mentoring colleagues, and helping shape our evolving AI strategy. You will thrive in an environment that encourages experimentation, collaboration, and continuous learning, where your creativity and curiosity directly contribute to CGI's success and client value. Key responsibilities: • Lead & Innovate: Collaborate with clients to assess needs, identify AI opportunities, and define clear solution requirements. • Develop & Deliver: Design and implement AI models using Machine Learning, NLP, Generative AI, and Advanced Analytics. • Strategise & Execute: Build AI roadmaps aligned with client goals and emerging technology trends. • Optimise & Automate: Oversee AI solution deployment, ensuring performance, scalability, and compliance. • Collaborate & Mentor: Support knowledge sharing, guide junior colleagues, and promote responsible AI adoption. • Evolve & Enhance: Stay ahead of emerging AI tools and methodologies to continually refine delivery excellence. Required qualifications to be successful in this role You will bring a strong technical foundation in AI and a track record of delivering impactful AI solutions. A passion for innovation, curiosity about emerging technologies, and the ability to communicate complex concepts clearly are essential. You should have: • Proven experience delivering AI solutions in commercial environments. • Expertise in Machine Learning, Generative AI, NLP, and Advanced Analytics. • Proficiency in Python and AI frameworks (e.g., TensorFlow, PyTorch, LangChain). • Knowledge of data engineering and MLOps practices. • Familiarity with cloud platforms (AWS, Azure, or GCP). • Strong problem-solving, analytical, and communication skills. • Ability to collaborate effectively in multidisciplinary teams. Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you'll reach your full potential because You are invited to be an owner from day 1 as we work together to bring our Dream to life. That's why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company's strategy and direction. Your work creates value. You'll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You'll shape your career by joining a company built to grow and last. You'll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team-one of the largest IT and business consulting services firms in the world.
Get Staffed Online Recruitment Limited
Ringwood, Hampshire
3rd Line Support / Systems Engineer Location: Ringwood, Hampshire Salary: £37,000 - £40,000 DOE + Profit Share Hours: 37.5 hours per week This role is subject to a clear standard DBS check being received. Our client has been a specialist IT Infrastructure and Support Services provider for over 25 years. They are an Employee Ownership Trust and are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. They encourage progression within the company as well as offering opportunities in other teams and departments. Join this friendly company, where a great team and a positive culture await you. The Role Our client is seeking a skilled and motivated 3rd Line Support / Systems Engineer with a passion for designing technical solutions and delivering first-class 3rd-line support. This is a key role providing outstanding service to their customers and delivering innovation across technical operations. Working with internal and external stakeholders. You will plan, implement and document technical solutions and assist in the transitions of solutions into live service, as well as providing 3rd line support services. Skills and Experience: At least 3 years of experience in a similar role (3rd line equivalent). Proven ability to implement, configure, test, and maintain technical infrastructure. Strong problem-solving skills and a proactive approach to technical challenges. Excellent knowledge of supporting enterprise network technologies including switching, firewalling, routing, and wireless products. Committed to continuous learning and actively pursuing vendor certifications. Ability to follow and produce detailed technical documentation. Strong communication skills and stakeholder management experience. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a focus on accuracy and quality. Positive, proactive attitude with a strong sense of ownership. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with your length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Private Medical Insurance, including dental. Ongoing training and support. Company sick pay policy. Pension Scheme. Fresh fruit, posh coffee machine and the occasional pizza. Hybrid Working (Non-contractual). Progression opportunities.
Dec 08, 2025
Full time
3rd Line Support / Systems Engineer Location: Ringwood, Hampshire Salary: £37,000 - £40,000 DOE + Profit Share Hours: 37.5 hours per week This role is subject to a clear standard DBS check being received. Our client has been a specialist IT Infrastructure and Support Services provider for over 25 years. They are an Employee Ownership Trust and are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Their core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. They encourage progression within the company as well as offering opportunities in other teams and departments. Join this friendly company, where a great team and a positive culture await you. The Role Our client is seeking a skilled and motivated 3rd Line Support / Systems Engineer with a passion for designing technical solutions and delivering first-class 3rd-line support. This is a key role providing outstanding service to their customers and delivering innovation across technical operations. Working with internal and external stakeholders. You will plan, implement and document technical solutions and assist in the transitions of solutions into live service, as well as providing 3rd line support services. Skills and Experience: At least 3 years of experience in a similar role (3rd line equivalent). Proven ability to implement, configure, test, and maintain technical infrastructure. Strong problem-solving skills and a proactive approach to technical challenges. Excellent knowledge of supporting enterprise network technologies including switching, firewalling, routing, and wireless products. Committed to continuous learning and actively pursuing vendor certifications. Ability to follow and produce detailed technical documentation. Strong communication skills and stakeholder management experience. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a focus on accuracy and quality. Positive, proactive attitude with a strong sense of ownership. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with your length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Private Medical Insurance, including dental. Ongoing training and support. Company sick pay policy. Pension Scheme. Fresh fruit, posh coffee machine and the occasional pizza. Hybrid Working (Non-contractual). Progression opportunities.
The Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value. We are looking for a Sr. Manager, Data Science and AI who will be responsible for collaborating with CMO & BT leadership in shaping International AI roadmap, will be part of a DS &AI team designing, delivering, and upgrading innovative global capabilities and driving AI fluency in the anchor markets ( majorly EU ). This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights. This role is dynamic, require consulting experience to drive AI transformation to a fast-paced international commercial organization and should stay highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. Roles & Responsibilities Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics for BT/CMO & ICDLT. Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret. Continuously evaluate and enhance existing data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Drive AI adoption and thought partner for innovation. Collaborate Cross-Functionally as an International Business Focused AI POD Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution , Market Research Insights counterparts, In market DS to develop and execute a comprehensive analytics solution for both local & international markets. Deliver consolidated insights and actionable recommendations to International Commercial teams, ensuring alignment with strategic objectives and insights finding. Represent data science function and capabilities in Analytic meetings. Work closely with cross-functional teams to ensure seamless integration of business analytics insights into decision-making processes and strategic initiatives. Innovative Data Science Capabilities Support the design, delivery, and scaling of innovative solutions across the organization from pilot phases to full-scale implementation. Collaborate on the delivery process, leveraging agile methodologies and best practices to efficiently progress from pilot projects to scalable solutions, while maintaining a focus on quality and innovation. Actively participate in upgrading and refining capabilities based on feedback and insights gathered during pilot phases, continuously enhancing the effectiveness and relevance of implemented solutions. Play a key role in the organizational transformation by facilitating the adoption of new capabilities at scale. Cross-Functional Collaboration Work closely with CMO, BT, Digital, in country DS and IIS colleagues to deliver smooth scalable projects withing GCA. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively. Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making. QUALIFICATIONS Minimum of bachelors degree with strong relevant experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree with some relevant experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, MBA or related field preferred. Experience using data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred. Experience in management of secondary data with application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful so what to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question. Ability to be flexible, prioritize multiple demands and deal with ambiguity. PROFESSIONAL CHARACTERISTICS Growth Mindset: Evaluates, understands and communicates the impact of certain data insights across the business and works to assist business partners foresee potential strategic changes. Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how CAAI can provide value to the organization. Strong Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights. Strong Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others. Relationship Manager: Acts as a thought partner and brings forward recommendations/questions that influences stakeholders; builds robust and long-term strategic relationships with individuals from all levels of the organization, understanding individual goals and objectives to ensure future alignment of the entire portfolio. Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork. Strong Project Manager: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in. Proactive Self-Starter: Takes an active role in ones own professional development; stays abreast of analytical trends, and cutting-edge applications of data. Work Location Assignment: Hybrid (some office presence is required) Purpose Breakthroughs that change patients' lives At Pfizer we are apatient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Lets start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business . click apply for full job details
Dec 08, 2025
Full time
The Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value. We are looking for a Sr. Manager, Data Science and AI who will be responsible for collaborating with CMO & BT leadership in shaping International AI roadmap, will be part of a DS &AI team designing, delivering, and upgrading innovative global capabilities and driving AI fluency in the anchor markets ( majorly EU ). This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights. This role is dynamic, require consulting experience to drive AI transformation to a fast-paced international commercial organization and should stay highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join GCA colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. Roles & Responsibilities Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics for BT/CMO & ICDLT. Engage with the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret. Continuously evaluate and enhance existing data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI. Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of data-driven decision-making. Drive AI adoption and thought partner for innovation. Collaborate Cross-Functionally as an International Business Focused AI POD Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution , Market Research Insights counterparts, In market DS to develop and execute a comprehensive analytics solution for both local & international markets. Deliver consolidated insights and actionable recommendations to International Commercial teams, ensuring alignment with strategic objectives and insights finding. Represent data science function and capabilities in Analytic meetings. Work closely with cross-functional teams to ensure seamless integration of business analytics insights into decision-making processes and strategic initiatives. Innovative Data Science Capabilities Support the design, delivery, and scaling of innovative solutions across the organization from pilot phases to full-scale implementation. Collaborate on the delivery process, leveraging agile methodologies and best practices to efficiently progress from pilot projects to scalable solutions, while maintaining a focus on quality and innovation. Actively participate in upgrading and refining capabilities based on feedback and insights gathered during pilot phases, continuously enhancing the effectiveness and relevance of implemented solutions. Play a key role in the organizational transformation by facilitating the adoption of new capabilities at scale. Cross-Functional Collaboration Work closely with CMO, BT, Digital, in country DS and IIS colleagues to deliver smooth scalable projects withing GCA. Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively. Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making. QUALIFICATIONS Minimum of bachelors degree with strong relevant experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree with some relevant experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, MBA or related field preferred. Experience using data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred. Experience in management of secondary data with application of real-world data. Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. Able to connect, integrate and synthesize analysis and data into a meaningful so what to drive concrete strategic recommendations for brand tactics. Capable of describing relevant caveats in data or in a model and how they relate to business question. Ability to be flexible, prioritize multiple demands and deal with ambiguity. PROFESSIONAL CHARACTERISTICS Growth Mindset: Evaluates, understands and communicates the impact of certain data insights across the business and works to assist business partners foresee potential strategic changes. Analytical Thinker: Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how CAAI can provide value to the organization. Strong Data and Information Manager: Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights. Strong Communicator: Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others. Relationship Manager: Acts as a thought partner and brings forward recommendations/questions that influences stakeholders; builds robust and long-term strategic relationships with individuals from all levels of the organization, understanding individual goals and objectives to ensure future alignment of the entire portfolio. Highly Collaborative: Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork. Strong Project Manager: Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in. Proactive Self-Starter: Takes an active role in ones own professional development; stays abreast of analytical trends, and cutting-edge applications of data. Work Location Assignment: Hybrid (some office presence is required) Purpose Breakthroughs that change patients' lives At Pfizer we are apatient centric company, guided by our four values: courage, joy, equity and excellence. Our breakthrough culture lends itself to our dedication to transforming millions of lives. Digital Transformation Strategy One bold way we are achieving our purpose is through our company wide digital transformation strategy. We are leading the way in adopting new data, modelling and automated solutions to further digitize and accelerate drug discovery and development with the aim of enhancing health outcomes and the patient experience. Flexibility We aim to create a trusting, flexible workplace culture which encourages employees to achieve work life harmony, attracts talent and enables everyone to be their best working self.Lets start the conversation! Equal Employment Opportunity We believe that a diverse and inclusive workforce is crucial to building a successful business . click apply for full job details
Control Systems Engineer Lathom 50,000- 55,000 + 25 Days Holiday + Bank Holidays + Bonus Scheme + Up to 8% Pension + Training & Development Excellent opportunity for a Control Systems Engineer with PLC and SCADA experience to join an industry leader offering the chance to work on cutting-edge technology, contribute to global projects, and develop your skills within a highly technical R&D environment. This company are a global powerhouse in their field, known for world-class manufacturing, pioneering technology, and a long-standing reputation for innovation. Their R&D Process Control team plays a vital role in developing and rolling out advanced inspection and process control systems across international operations, forming a key part of their digitalisation and automation strategy. In this role you will work across the full lifecycle of process control systems - from concept through to implementation. You'll develop SCADA systems, program PLCs, create and enhance advanced control techniques (including PID, AI, and machine learning approaches), and support instrumentation and inspection tools used across global manufacturing sites. You'll collaborate with cross-functional R&D and production teams to drive process improvements, troubleshoot complex challenges, and support both on-site and remote operations. Some occasional overseas travel may be required. The ideal candidate will have experience in industrial process control, be strong with PLC and SCADA systems, and have a solid understanding of electrical/electronic principles. Candidates must have full right to work in the UK, be commutable to Lathom, and have excellent communication skills, strong problem-solving abilities, and good project/time management capabilities. This is a fantastic opportunity to join a highly technical R&D team working with global stakeholders, advance your skills with new technologies, and contribute directly to the development of next-generation control and inspection systems. The Role: Developing and enhancing process control systems from concept to implementation PLC programming, SCADA development, and advanced control techniques (including AI/ML) Delivering instrumentation and inspection solutions to support global operations Providing technical support, system upgrades, and occasional overseas travel The Person: Experience in industrial process control and PLC/SCADA systems Engineering Degree (2:1 or above preferred) Logical problem solver with strong communication skills Commutable to Lathom and full right to work in the UK Reference Number: BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Dec 06, 2025
Full time
Control Systems Engineer Lathom 50,000- 55,000 + 25 Days Holiday + Bank Holidays + Bonus Scheme + Up to 8% Pension + Training & Development Excellent opportunity for a Control Systems Engineer with PLC and SCADA experience to join an industry leader offering the chance to work on cutting-edge technology, contribute to global projects, and develop your skills within a highly technical R&D environment. This company are a global powerhouse in their field, known for world-class manufacturing, pioneering technology, and a long-standing reputation for innovation. Their R&D Process Control team plays a vital role in developing and rolling out advanced inspection and process control systems across international operations, forming a key part of their digitalisation and automation strategy. In this role you will work across the full lifecycle of process control systems - from concept through to implementation. You'll develop SCADA systems, program PLCs, create and enhance advanced control techniques (including PID, AI, and machine learning approaches), and support instrumentation and inspection tools used across global manufacturing sites. You'll collaborate with cross-functional R&D and production teams to drive process improvements, troubleshoot complex challenges, and support both on-site and remote operations. Some occasional overseas travel may be required. The ideal candidate will have experience in industrial process control, be strong with PLC and SCADA systems, and have a solid understanding of electrical/electronic principles. Candidates must have full right to work in the UK, be commutable to Lathom, and have excellent communication skills, strong problem-solving abilities, and good project/time management capabilities. This is a fantastic opportunity to join a highly technical R&D team working with global stakeholders, advance your skills with new technologies, and contribute directly to the development of next-generation control and inspection systems. The Role: Developing and enhancing process control systems from concept to implementation PLC programming, SCADA development, and advanced control techniques (including AI/ML) Delivering instrumentation and inspection solutions to support global operations Providing technical support, system upgrades, and occasional overseas travel The Person: Experience in industrial process control and PLC/SCADA systems Engineering Degree (2:1 or above preferred) Logical problem solver with strong communication skills Commutable to Lathom and full right to work in the UK Reference Number: BBBH(phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Tommy Williams at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Head of Data - 90,000 - Hybrid About the Role We are seeking an experienced and strategic Head of Data to lead our data strategy, governance, analytics, and data engineering functions. This role will define how data is collected, organized, activated, and leveraged across the organization to drive business value, operational excellence, and informed decision-making. You will own the vision for our data ecosystem and build the culture, processes, and technologies that support it. Key Responsibilities Data Strategy & Leadership Define and execute a company-wide data strategy aligned with business goals. Champion a data-driven culture, ensuring teams understand and use data effectively. Lead and mentor Data Engineering, Analytics, Data Science, and Data Governance teams. Data Architecture & Engineering Oversee the development and maintenance of scalable data infrastructure, pipelines, and platforms (e.g., cloud data warehouses, streaming systems, ML platforms). Ensure data architecture supports performance, security, and cost efficiency. Evaluate and implement new technologies, tools, and best practices. Analytics & Insights Deliver reliable and accurate analytics to support product, marketing, finance, and operations. Partner with business leaders to define KPIs, dashboards, and reporting frameworks. Support advanced analytics and machine learning initiatives. Data Governance & Quality Establish data governance policies, ownership models, and data standards. Ensure compliance with regulatory requirements (e.g., GDPR, CCPA). Implement data quality programs, monitoring, and remediation processes. Cross-Functional Collaboration Work closely with Product, Engineering, Finance, Operations, and Compliance to prioritize data initiatives. Communicate data strategy and insights to executive leadership and stakeholders. Qualifications Required 8+ years of experience in data-focused roles, with at least 3-5 years of leadership experience. Strong background in data engineering, analytics, or data science. Proven experience scaling data teams and data platforms in high-growth environments. Deep understanding of cloud data technologies (AWS, GCP, or Azure), modern data stacks, and data governance frameworks. Ability to translate complex technical concepts into clear business terms. Excellent communication, stakeholder management, and leadership skills. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Dec 06, 2025
Full time
Head of Data - 90,000 - Hybrid About the Role We are seeking an experienced and strategic Head of Data to lead our data strategy, governance, analytics, and data engineering functions. This role will define how data is collected, organized, activated, and leveraged across the organization to drive business value, operational excellence, and informed decision-making. You will own the vision for our data ecosystem and build the culture, processes, and technologies that support it. Key Responsibilities Data Strategy & Leadership Define and execute a company-wide data strategy aligned with business goals. Champion a data-driven culture, ensuring teams understand and use data effectively. Lead and mentor Data Engineering, Analytics, Data Science, and Data Governance teams. Data Architecture & Engineering Oversee the development and maintenance of scalable data infrastructure, pipelines, and platforms (e.g., cloud data warehouses, streaming systems, ML platforms). Ensure data architecture supports performance, security, and cost efficiency. Evaluate and implement new technologies, tools, and best practices. Analytics & Insights Deliver reliable and accurate analytics to support product, marketing, finance, and operations. Partner with business leaders to define KPIs, dashboards, and reporting frameworks. Support advanced analytics and machine learning initiatives. Data Governance & Quality Establish data governance policies, ownership models, and data standards. Ensure compliance with regulatory requirements (e.g., GDPR, CCPA). Implement data quality programs, monitoring, and remediation processes. Cross-Functional Collaboration Work closely with Product, Engineering, Finance, Operations, and Compliance to prioritize data initiatives. Communicate data strategy and insights to executive leadership and stakeholders. Qualifications Required 8+ years of experience in data-focused roles, with at least 3-5 years of leadership experience. Strong background in data engineering, analytics, or data science. Proven experience scaling data teams and data platforms in high-growth environments. Deep understanding of cloud data technologies (AWS, GCP, or Azure), modern data stacks, and data governance frameworks. Ability to translate complex technical concepts into clear business terms. Excellent communication, stakeholder management, and leadership skills. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Dec 04, 2025
Full time
Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have the following essential skills & experience: Key Skills & Experience Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings. Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines. Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality. Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in the company to integrate data science findings into practical advice and strategies. Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation. Provide training and support to other team members on using machine learning tools and understanding analytical techniques. Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders. Experience in the pensions or similar regulated financial services industry is highly desirable. Experience in working within a multidisciplinary team would be beneficial Benefits We offer an attractive reward package; typical benefits can include: Competitive salary Participation in Discretionary Bonus Scheme A set of core benefits including Pension Plan, Life Assurance cover and employee assistance programme, 25 days holiday and access to a qualified, practising GP 24 hours a day/365 days a year Flexible Benefits Scheme to support you in and out of work, helping you look after you and your family covering Security & Protection, Health & Wellbeing, Lifestyle Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
3rd Line Support / Systems Engineer Location: Ringwood, Hampshire Salary: £37,000 - £40,000 DOE + Profit Share Hours: 37.5 hours per week This role is subject to a clear standard DBS check being received. Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership as well as offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you. The Role We are seeking a skilled and motivated 3rd Line Support / Systems Engineer with a passion for designing technical solutions and delivering first-class 3rd-line support. This is a key role providing outstanding service to our customers and delivering innovation across technical operations. Working with internal and external stakeholders. You will plan, implement and document technical solutions and assist in the transitions of solutions into live service, as well as providing 3rd line support services. Skills and Experience: At least 3 years of experience in a similar role (3rd line equivalent). Proven ability to implement, configure, test, and maintain technical infrastructure. Strong problem-solving skills and a proactive approach to technical challenges. Excellent knowledge of supporting enterprise network technologies including switching, firewalling, routing, and wireless products. Committed to continuous learning and actively pursuing vendor certifications. Ability to follow and produce detailed technical documentation. Strong communication skills and stakeholder management experience. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a focus on accuracy and quality. Positive, proactive attitude with a strong sense of ownership. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with your length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Private Medical Insurance, including dental. Ongoing training and support. Company sick pay policy. Pension Scheme. Fresh fruit, posh coffee machine and the occasional pizza. Hybrid Working (Non-contractual). Progression opportunities.
Dec 04, 2025
Full time
3rd Line Support / Systems Engineer Location: Ringwood, Hampshire Salary: £37,000 - £40,000 DOE + Profit Share Hours: 37.5 hours per week This role is subject to a clear standard DBS check being received. Trusted Technology Partnership has been a specialist IT Infrastructure and Support Services provider for over 25 years. We are an Employee Ownership Trust. We are proud winners of Best Place to Work award and overall winner of the Ringwood Business Awards 2024. Our core services include support desk, on-site engineering, project management and delivery, storage and logistics, software development and technical consultancy. We encourage progression within Trusted Technology Partnership as well as offering opportunities in other teams and departments. Join our friendly company, where a great team and a positive culture await you. The Role We are seeking a skilled and motivated 3rd Line Support / Systems Engineer with a passion for designing technical solutions and delivering first-class 3rd-line support. This is a key role providing outstanding service to our customers and delivering innovation across technical operations. Working with internal and external stakeholders. You will plan, implement and document technical solutions and assist in the transitions of solutions into live service, as well as providing 3rd line support services. Skills and Experience: At least 3 years of experience in a similar role (3rd line equivalent). Proven ability to implement, configure, test, and maintain technical infrastructure. Strong problem-solving skills and a proactive approach to technical challenges. Excellent knowledge of supporting enterprise network technologies including switching, firewalling, routing, and wireless products. Committed to continuous learning and actively pursuing vendor certifications. Ability to follow and produce detailed technical documentation. Strong communication skills and stakeholder management experience. Able to work independently and collaboratively in a fast-paced environment. High attention to detail with a focus on accuracy and quality. Positive, proactive attitude with a strong sense of ownership. The Package: Company Profit Share (first £3,600 is tax free). 22 days annual leave plus bank holidays, increasing with your length of service. Birthday as additional paid leave. Additional paid leave (dependent on company performance). Private Medical Insurance, including dental. Ongoing training and support. Company sick pay policy. Pension Scheme. Fresh fruit, posh coffee machine and the occasional pizza. Hybrid Working (Non-contractual). Progression opportunities.
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
Dec 03, 2025
Full time
Today, Lonza is a global leader in life sciences operating across five continents. While we work in science, there's no magic formula to how we do it. Our greatest scientific solution is talented people working together, devising ideas that help businesses to help people. In exchange, we let our people own their careers. Their ideas, big and small, genuinely improve the world. And that's the kind of work we want to be part of. The role: We seek an adept expert to contribute significantly to our R&D team, bridging machine learning engineering with applied data science. You'll improve and manage our Machine Learning Operations (MLOps) on Azure, and participate in creating, assessing, and advancing various machine learning models and AI systems. Collaborate extensively with scientific and operational teams to guarantee the robustness, scalability, and reliability of our AI tools. Implementing automation and standardization throughout the ML lifecycle, your efforts will support quicker, data-informed decision-making and boost innovation. Help our CDMO's mission by turning research insights into practical solutions efficiently. Key responsibilities: Compose, construct, and uphold resilient machine learning operations (MLOps) pipelines that facilitate the complete lifecycle of AI models-from creation to implementation and supervision. Guarantee the successful deployment of machine learning and large language models (LLMs) in practical operational settings, transforming research findings into functional business tools. Facilitate the progress and examination of ML models, involving both standard machine learning and neural network-focused models, as requested by R&D teams. Develop standardized, reusable workflows that can be applied across different projects and scientific areas. Collaborate with scientists and engineers to incorporate AI solutions into daily R&D tasks. Implement tools for version control, testing, and continuous integration to ensure quality, security, and traceability of AI solutions. Develop automated reporting systems that make results from AI models easier to interpret, share, and act on. Key requirements: MSc or BSc in Computer Science, Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with software engineering guidelines: version control (e.g., Git), CI/CD, containerization (e.g., Docker), and workflow orchestration. Knowledge of cloud platforms and scalable compute environments (Azure preferred). Understanding of data governance, model documentation, and reproducibility in a regulated or research-heavy context. Ability to align machine learning initiatives with business objectives in a scientific or regulated environment. Every day, Lonza's products and services have a positive impact on millions of people. For us, this is not only a great privilege, but also a great responsibility. How we achieve our business results is just as important as the achievements themselves. At Lonza, we respect and protect our people and our environment. Any success we achieve is no success at all if not achieved ethically. People come to Lonza for the challenge and creativity of solving complex problems and developing new ideas in life sciences. In return, we offer the satisfaction that comes with improving lives all around the world. The satisfaction that comes with making a meaningful difference.
A Snapshot of Your Day As a Plant Maintenance Electrician, you will play a key role in ensuring the reliability and safety of electrical systems across the manufacturing site. Your day will involve fault finding, repair, and maintenance of a wide range of plant and equipment, supporting efficient production and minimising downtime. You'll work both independently and as part of a skilled maintenance team, contributing to a high-performing and safety-focused environment. How You'll Make an Impact Plan and execute assigned maintenance projects and electrical repairs. Diagnose and resolve technical issues on site, ensuring minimal disruption to operations. Carry out installation, testing, and servicing of electrical plant and equipment up to 415V, and support work on equipment up to 6600V. Perform fault finding on electrical and electronic circuits and systems. Read, interpret, and work from electrical/electronic circuit diagrams. Conduct testing of electrical installations to current regulations. Support the setup and commissioning of machinery and equipment for production. Contribute to installation projects and collaborate with Industrial Engineers. Maintain accurate technical documentation for processes and equipment. Provide technical guidance and support to junior team members where required. What You Bring Time-served Electrical Modern Apprenticeship (NVQ Level 2 and 3 plus Technical Certificate C&G/ONC/HNC) or equivalent qualifications. Post-apprenticeship experience in an engineering or industrial environment. Full working knowledge of B.S. 7671 "18th Edition Wiring Regulations" and "Electricity at Work Regulations" 1989. Proven experience in whole plant maintenance, ideally with an NVQ Level 3 in Engineering Maintenance. Extensive fault-finding skills on electrical and electronic circuits. Experience with PLC systems and CNC machine tool repair. Competent IT skills for use with computer-based test equipment. Mechanically multi-skilled with a safety-first mindset. Ability to work independently and collaboratively within a fast-paced manufacturing environment. About the Team Our Gas Services division offers low-emission power generation through service and decarbonisation. This includes zero or low-emission power generation, along with all gas turbines, steam turbines, and generators under one roof. We provide decarbonisation opportunities through service offerings, modernisation, and digitalisation of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one-sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences. Rewards/Benefits 26 days holiday, increasing to 29 days with time served. Access to a flexible benefits portal for private medical cover, cycle-to-work schemes, and more. A class-leading adjustable pension scheme. Opportunities for career development and continuous learning. The chance to work on cutting-edge projects that shape the future of Siemens Energy and manufacturing.
Oct 08, 2025
Full time
A Snapshot of Your Day As a Plant Maintenance Electrician, you will play a key role in ensuring the reliability and safety of electrical systems across the manufacturing site. Your day will involve fault finding, repair, and maintenance of a wide range of plant and equipment, supporting efficient production and minimising downtime. You'll work both independently and as part of a skilled maintenance team, contributing to a high-performing and safety-focused environment. How You'll Make an Impact Plan and execute assigned maintenance projects and electrical repairs. Diagnose and resolve technical issues on site, ensuring minimal disruption to operations. Carry out installation, testing, and servicing of electrical plant and equipment up to 415V, and support work on equipment up to 6600V. Perform fault finding on electrical and electronic circuits and systems. Read, interpret, and work from electrical/electronic circuit diagrams. Conduct testing of electrical installations to current regulations. Support the setup and commissioning of machinery and equipment for production. Contribute to installation projects and collaborate with Industrial Engineers. Maintain accurate technical documentation for processes and equipment. Provide technical guidance and support to junior team members where required. What You Bring Time-served Electrical Modern Apprenticeship (NVQ Level 2 and 3 plus Technical Certificate C&G/ONC/HNC) or equivalent qualifications. Post-apprenticeship experience in an engineering or industrial environment. Full working knowledge of B.S. 7671 "18th Edition Wiring Regulations" and "Electricity at Work Regulations" 1989. Proven experience in whole plant maintenance, ideally with an NVQ Level 3 in Engineering Maintenance. Extensive fault-finding skills on electrical and electronic circuits. Experience with PLC systems and CNC machine tool repair. Competent IT skills for use with computer-based test equipment. Mechanically multi-skilled with a safety-first mindset. Ability to work independently and collaboratively within a fast-paced manufacturing environment. About the Team Our Gas Services division offers low-emission power generation through service and decarbonisation. This includes zero or low-emission power generation, along with all gas turbines, steam turbines, and generators under one roof. We provide decarbonisation opportunities through service offerings, modernisation, and digitalisation of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With 100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one-sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonisation, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: Our Commitment to Diversity Lucky for us, we are not all the same. Through diversity, we generate power. We run on inclusion, and our combined creative energy is fuelled by over 130 nationalities. Siemens Energy celebrates character - no matter what ethnic background, gender, age, religion, identity, or disability. We energise society, all of society, and we do not discriminate based on our differences. Rewards/Benefits 26 days holiday, increasing to 29 days with time served. Access to a flexible benefits portal for private medical cover, cycle-to-work schemes, and more. A class-leading adjustable pension scheme. Opportunities for career development and continuous learning. The chance to work on cutting-edge projects that shape the future of Siemens Energy and manufacturing.
PRESS BRAKE OPERATORS REQUIRED IN CHESHIRE Do you have Press Brake experience and are you seeking a new permanent job role within the Cheshire area?! If so get in touch with me today as we are recruiting several Press Brake Operators on a permanent contract. The salary will depend on the hours/shift pattern you choose to work, but this business also offers a £2,000 signing bonus (staggered payment) and regular overtime opportunities paid at T1/3 after 39 hours, and T1/2 after 48 hours. We are looking for Press Brake Operators who have experience with either AMADA, TRUMPF, Bystronic or Edward Pearson machines and we have several opportunities on the following shift pattern: Day shifts Monday to Friday (39 hours per week) Permanent morning shifts Monday to Friday (38 hours per week) Permanent afternoon shifts Monday to Friday (38 hours per week) Everyone will initially start on day shifts whilst training and this will mean a slighter lower hourly rate to begin with, but you will have the opportunity to move onto shifts once you've passed a probation period and then you will get a pay increase with shift allowance being added on top of your basic hourly rate. What You Will Do: Set up and operate press machines (Amada and/or Edward Pearson) with precision. Execute bend and forming operations using both standard and custom punches. Produce parts that are crucial for assembly operations. Adhere to quality control protocols by reading technical drawings and conducting checks on produced work. Transition smoothly between different shift patterns after completing initial training on day shift. Engage in available overtime opportunities to enhance your earnings. What You Will Bring: Proven experience as a Press Brake Operator or similar role within the engineering sector. A keen eye for detail and a commitment to producing high-quality work. The ability to read and interpret technical drawings. Flexibility to work various shifts including early mornings, late evenings, and nights. A positive attitude towards learning and adapting to new technologies and processes. This role is pivotal in ensuring that the company remains at the forefront of the engineering industry, providing innovative solutions and maintaining a commitment to quality and excellence. The company specialises in the construction equipment, power generation, and general engineering sectors, offering a fully turnkey solution for customer needs. With a focus on constant re-investment in technology and innovation, this role offers the chance to be part of a forward-thinking and progressive team. Location: The role is based in Sandbach, Cheshire. Interested?: If you're ready to take your career to the next level as a Press Brake Operator, apply now to join a team that values your expertise and is committed to your development. Don't miss out on this exciting opportunity to advance your career and work on projects that make a difference. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Oct 08, 2025
Full time
PRESS BRAKE OPERATORS REQUIRED IN CHESHIRE Do you have Press Brake experience and are you seeking a new permanent job role within the Cheshire area?! If so get in touch with me today as we are recruiting several Press Brake Operators on a permanent contract. The salary will depend on the hours/shift pattern you choose to work, but this business also offers a £2,000 signing bonus (staggered payment) and regular overtime opportunities paid at T1/3 after 39 hours, and T1/2 after 48 hours. We are looking for Press Brake Operators who have experience with either AMADA, TRUMPF, Bystronic or Edward Pearson machines and we have several opportunities on the following shift pattern: Day shifts Monday to Friday (39 hours per week) Permanent morning shifts Monday to Friday (38 hours per week) Permanent afternoon shifts Monday to Friday (38 hours per week) Everyone will initially start on day shifts whilst training and this will mean a slighter lower hourly rate to begin with, but you will have the opportunity to move onto shifts once you've passed a probation period and then you will get a pay increase with shift allowance being added on top of your basic hourly rate. What You Will Do: Set up and operate press machines (Amada and/or Edward Pearson) with precision. Execute bend and forming operations using both standard and custom punches. Produce parts that are crucial for assembly operations. Adhere to quality control protocols by reading technical drawings and conducting checks on produced work. Transition smoothly between different shift patterns after completing initial training on day shift. Engage in available overtime opportunities to enhance your earnings. What You Will Bring: Proven experience as a Press Brake Operator or similar role within the engineering sector. A keen eye for detail and a commitment to producing high-quality work. The ability to read and interpret technical drawings. Flexibility to work various shifts including early mornings, late evenings, and nights. A positive attitude towards learning and adapting to new technologies and processes. This role is pivotal in ensuring that the company remains at the forefront of the engineering industry, providing innovative solutions and maintaining a commitment to quality and excellence. The company specialises in the construction equipment, power generation, and general engineering sectors, offering a fully turnkey solution for customer needs. With a focus on constant re-investment in technology and innovation, this role offers the chance to be part of a forward-thinking and progressive team. Location: The role is based in Sandbach, Cheshire. Interested?: If you're ready to take your career to the next level as a Press Brake Operator, apply now to join a team that values your expertise and is committed to your development. Don't miss out on this exciting opportunity to advance your career and work on projects that make a difference. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Maintenance Engineer Cambridge Area 32,000 - 42,000 To lead both proactive and reactive/breakdown maintenance across all Our Clients sites, focusing on reducing the incident of breakdowns and improving production facilities. Ensuring that machinery and equipment operates smoothly and reliably. THE ROLE The role also takes ownership of all electrical and mechanical work, ensuring compliance with regulations and standards. It includes leading agreed facilities projects such as refits, upgrades, and equipment installations, managing work from planning to completion, including snagging and testing. The post ensures all maintenance and project work is carried out safely, efficiently, and reliably to support smooth operations. Key Responsibilities Safety and Compliance - following the rules and regulations related to health and safety in the workplace. Among these are wearing the appropriate Personal Protective Equipment (PPE), using safe work practices, and understanding emergency procedures. Equipment Inspection and Troubleshooting: - to identify whether work equipment can be operated, adjusted, and maintained safely. Repair and Maintenance - restoration work when an asset breaks, gets damaged, or stops working. Carrying out routine activities and/or corrective or preventive repair done on assets to prevent damage and prolong the life expectancy. Emergency Repairs - ensuring response to emergency calls for equipment breakdowns and prioritisation of urgent repairs to minimize downtime. Preventive Maintenance - plan and implement a rigorous machine maintenance program, which meets audit and legal compliance regulations. Covering the routine maintenance of equipment and assets to keep them running and prevent any costly unplanned downtime from unexpected equipment failure. Electrical & Mechanical Work - provide technical support on aspects of M&E compliance, statutory legislation, standards validation, project snagging, equipment factory acceptance testing, and M&E site control. Documentation and Reporting - maintenance of detailed records of maintenance work, including parts used and hours worked. Generating reports for management and supervisors. Continuous Learning - stay updated on industry trends, new technologies, and best practices. Attending training sessions and workshops as needed. Facilities Project Management - lead agreed facilities projects, including refits, upgrades, and equipment installations. Manage all stages from planning to completion, ensuring snagging, testing, and handover are completed safely, on time, and to the required standard. General responsibilities: Health & Safety Responsibilities All employees are responsible for adhering to health and safety procedures and guidelines, ensuring a safe working environment for themselves and others. Any accidents, near misses, or concerns must be reported to the Health & Safety Manager and/or their line manager immediately. Quality Responsibilities Quality is the responsibility of every individual within the company. Each employee contributes to Our Clients quality objectives and plays a key role in fostering a quality-focused culture. It is essential to uphold high standards to ensure that customer needs and expectations are fully met. Person Specification Skills: Knowledge of PUWER regulations Mechanical / Electrical Biased Engineer Interacting with suppliers, overseeing a team and managing budgets Ability to understand a variety of engineering procedures and functions Team-working skills to liaise and work cooperatively with individuals at all levels Negotiation skills and the ability to persuade others Excellent diagnostic and problem-solving skills Ability to work under pressure Interpersonal and people-management skills Maintenance Engineer / Service Engineer / PUWER Regulations / PLC / Fault Finding / Mechanical Technician / Service Engineer / CNC Maintenance / CNC Engineer / CNC service Engineer Call Settings Override To From Record Yes No Always use these settings
Oct 07, 2025
Full time
Maintenance Engineer Cambridge Area 32,000 - 42,000 To lead both proactive and reactive/breakdown maintenance across all Our Clients sites, focusing on reducing the incident of breakdowns and improving production facilities. Ensuring that machinery and equipment operates smoothly and reliably. THE ROLE The role also takes ownership of all electrical and mechanical work, ensuring compliance with regulations and standards. It includes leading agreed facilities projects such as refits, upgrades, and equipment installations, managing work from planning to completion, including snagging and testing. The post ensures all maintenance and project work is carried out safely, efficiently, and reliably to support smooth operations. Key Responsibilities Safety and Compliance - following the rules and regulations related to health and safety in the workplace. Among these are wearing the appropriate Personal Protective Equipment (PPE), using safe work practices, and understanding emergency procedures. Equipment Inspection and Troubleshooting: - to identify whether work equipment can be operated, adjusted, and maintained safely. Repair and Maintenance - restoration work when an asset breaks, gets damaged, or stops working. Carrying out routine activities and/or corrective or preventive repair done on assets to prevent damage and prolong the life expectancy. Emergency Repairs - ensuring response to emergency calls for equipment breakdowns and prioritisation of urgent repairs to minimize downtime. Preventive Maintenance - plan and implement a rigorous machine maintenance program, which meets audit and legal compliance regulations. Covering the routine maintenance of equipment and assets to keep them running and prevent any costly unplanned downtime from unexpected equipment failure. Electrical & Mechanical Work - provide technical support on aspects of M&E compliance, statutory legislation, standards validation, project snagging, equipment factory acceptance testing, and M&E site control. Documentation and Reporting - maintenance of detailed records of maintenance work, including parts used and hours worked. Generating reports for management and supervisors. Continuous Learning - stay updated on industry trends, new technologies, and best practices. Attending training sessions and workshops as needed. Facilities Project Management - lead agreed facilities projects, including refits, upgrades, and equipment installations. Manage all stages from planning to completion, ensuring snagging, testing, and handover are completed safely, on time, and to the required standard. General responsibilities: Health & Safety Responsibilities All employees are responsible for adhering to health and safety procedures and guidelines, ensuring a safe working environment for themselves and others. Any accidents, near misses, or concerns must be reported to the Health & Safety Manager and/or their line manager immediately. Quality Responsibilities Quality is the responsibility of every individual within the company. Each employee contributes to Our Clients quality objectives and plays a key role in fostering a quality-focused culture. It is essential to uphold high standards to ensure that customer needs and expectations are fully met. Person Specification Skills: Knowledge of PUWER regulations Mechanical / Electrical Biased Engineer Interacting with suppliers, overseeing a team and managing budgets Ability to understand a variety of engineering procedures and functions Team-working skills to liaise and work cooperatively with individuals at all levels Negotiation skills and the ability to persuade others Excellent diagnostic and problem-solving skills Ability to work under pressure Interpersonal and people-management skills Maintenance Engineer / Service Engineer / PUWER Regulations / PLC / Fault Finding / Mechanical Technician / Service Engineer / CNC Maintenance / CNC Engineer / CNC service Engineer Call Settings Override To From Record Yes No Always use these settings
Maintenance Engineer (Machines and Facilities) Location: Havant, Hampshire Permanent Role What you will be doing We are seeking a hands-on Maintenance Engineer (Machines and Facilities) to manage the facilities, infrastructure, and assets of our client's business. You will leverage your skills and coordinate a network of suppliers and subcontractors to ensure high availability, safety, and cost-effectiveness across all operations. Key responsibilities include: Maintain and improve the availability of CNC and manual machinery, plant, and infrastructure through a preventative maintenance programme. Implement current HSE legislation, including certification, monitoring, and inspection within your areas of responsibility. Assist with the maintenance of building security across all facilities. Ensure facilities, equipment, and machinery are available to maximise productivity. Deliver facilities-related projects on schedule, within budget, and to agreed requirements. Proactively support day-to-day maintenance activities across multiple sites. Maintain, improve, and report on industrially recognised Key Performance Indicators (KPIs). What we are looking for Proven experience in maintenance or facilities management. Strong experience in preventative and reactive maintenance of CNC and manual machining centres. Hands-on experience with hydraulics, pneumatics, electrics, and mechanical systems is highly desirable. Proven experience in managing large, complex projects. Ability to work effectively both independently and as part of a team. Proficiency in Microsoft Office; experience with complex maintenance programmes and SAP is desirable. Why this role? Our client values empowerment, ownership, and personal responsibility. They foster a culture of collaboration, innovation, and learning from experience. You will be encouraged to contribute ideas freely, take initiative, and grow professionally in a supportive environment. If you are passionate about technology, sustainability, and making a tangible impact, this is an opportunity to join a team that shares your commitment to operational excellence and innovation.
Oct 07, 2025
Full time
Maintenance Engineer (Machines and Facilities) Location: Havant, Hampshire Permanent Role What you will be doing We are seeking a hands-on Maintenance Engineer (Machines and Facilities) to manage the facilities, infrastructure, and assets of our client's business. You will leverage your skills and coordinate a network of suppliers and subcontractors to ensure high availability, safety, and cost-effectiveness across all operations. Key responsibilities include: Maintain and improve the availability of CNC and manual machinery, plant, and infrastructure through a preventative maintenance programme. Implement current HSE legislation, including certification, monitoring, and inspection within your areas of responsibility. Assist with the maintenance of building security across all facilities. Ensure facilities, equipment, and machinery are available to maximise productivity. Deliver facilities-related projects on schedule, within budget, and to agreed requirements. Proactively support day-to-day maintenance activities across multiple sites. Maintain, improve, and report on industrially recognised Key Performance Indicators (KPIs). What we are looking for Proven experience in maintenance or facilities management. Strong experience in preventative and reactive maintenance of CNC and manual machining centres. Hands-on experience with hydraulics, pneumatics, electrics, and mechanical systems is highly desirable. Proven experience in managing large, complex projects. Ability to work effectively both independently and as part of a team. Proficiency in Microsoft Office; experience with complex maintenance programmes and SAP is desirable. Why this role? Our client values empowerment, ownership, and personal responsibility. They foster a culture of collaboration, innovation, and learning from experience. You will be encouraged to contribute ideas freely, take initiative, and grow professionally in a supportive environment. If you are passionate about technology, sustainability, and making a tangible impact, this is an opportunity to join a team that shares your commitment to operational excellence and innovation.
We are seeking a proactive and hands-on Multiskilled Maintenance Engineer to join our engineering team within a fast-paced packaging environment. The role will involve maintaining, troubleshooting, and improving a wide range of mechanical and electrical packaging machinery to ensure maximum equipment efficiency and minimal downtime. This is on shift. Key Responsibilities Carry out planned preventive maintenance (PPM) on packaging machinery, conveyors, palletisers, wrapping machines, and related equipment. Respond to and resolve breakdowns promptly to reduce downtime and maintain production efficiency. Diagnose and repair both mechanical and electrical faults, including motors, sensors, PLC-controlled equipment, pneumatics, and hydraulics. Support continuous improvement initiatives by identifying and implementing engineering solutions. Ensure compliance with health & safety standards and company policies at all times. Maintain accurate records of maintenance activities, parts used, and breakdown history. Liaise with production and operations teams to minimise disruption during maintenance. Assist with installation and commissioning of new equipment and upgrades. Participate in an engineering call-out rota (if applicable). Skills & Experience Required Time-served engineer with a recognised qualification (NVQ Level 3, HNC, or equivalent) in mechanical or electrical engineering. Strong background in both mechanical and electrical maintenance within a fast-moving production or packaging environment. Experience working with PLC systems (Siemens, Allen Bradley, or similar) - fault finding ability desirable. Knowledge of pneumatics, hydraulics, motors, pumps, and conveyors. Ability to read technical drawings and schematics. Proven track record of fault finding under pressure in a high-speed manufacturing environment. Computer-literate with experience using CMMS (Computerised Maintenance Management Systems) advantageous. Personal Attributes Strong problem-solving mindset with a proactive approach. Excellent communication skills - able to work effectively with production, quality, and management teams. Team player who is also capable of working independently. Flexible, reliable, and willing to adapt to changing priorities. Commitment to continuous professional development and learning.
Oct 06, 2025
Full time
We are seeking a proactive and hands-on Multiskilled Maintenance Engineer to join our engineering team within a fast-paced packaging environment. The role will involve maintaining, troubleshooting, and improving a wide range of mechanical and electrical packaging machinery to ensure maximum equipment efficiency and minimal downtime. This is on shift. Key Responsibilities Carry out planned preventive maintenance (PPM) on packaging machinery, conveyors, palletisers, wrapping machines, and related equipment. Respond to and resolve breakdowns promptly to reduce downtime and maintain production efficiency. Diagnose and repair both mechanical and electrical faults, including motors, sensors, PLC-controlled equipment, pneumatics, and hydraulics. Support continuous improvement initiatives by identifying and implementing engineering solutions. Ensure compliance with health & safety standards and company policies at all times. Maintain accurate records of maintenance activities, parts used, and breakdown history. Liaise with production and operations teams to minimise disruption during maintenance. Assist with installation and commissioning of new equipment and upgrades. Participate in an engineering call-out rota (if applicable). Skills & Experience Required Time-served engineer with a recognised qualification (NVQ Level 3, HNC, or equivalent) in mechanical or electrical engineering. Strong background in both mechanical and electrical maintenance within a fast-moving production or packaging environment. Experience working with PLC systems (Siemens, Allen Bradley, or similar) - fault finding ability desirable. Knowledge of pneumatics, hydraulics, motors, pumps, and conveyors. Ability to read technical drawings and schematics. Proven track record of fault finding under pressure in a high-speed manufacturing environment. Computer-literate with experience using CMMS (Computerised Maintenance Management Systems) advantageous. Personal Attributes Strong problem-solving mindset with a proactive approach. Excellent communication skills - able to work effectively with production, quality, and management teams. Team player who is also capable of working independently. Flexible, reliable, and willing to adapt to changing priorities. Commitment to continuous professional development and learning.
Production Engineer Location: Bristol Salary: 46k - 50k A local engineering company are now looking for a Production Engineer to join their team. Production Engineer - Job Overview We are looking for an enthusiastic and driven Production Engineer to join our manufacturing team. The successful candidate will be responsible for supporting production operations by improving manufacturing processes, introducing new products to the shop floor, and leading efficiency and ergonomic improvement projects. This role requires hands-on problem solving, collaboration across departments, and strong coaching abilities to uplift team capability and performance. A core focus will be on delivering long-term strategic improvements, reducing operational costs, and enhancing workplace ergonomics to ensure a safe, productive, and scalable manufacturing environment. Production Engineer - Key Responsibilities Manufacturing Support & Process Optimization Develop and refine production processes, work instructions, and tooling specifications. Drive long-term improvement strategies to enhance productivity and quality. Support the smooth introduction of new products from design into manufacturing. Identify and implement cost-saving measures through process streamlining and waste reduction. CAD & Product Lifecycle Management Utilize Creo to update and optimize technical drawings, 3D models, and assemblies. Manage design changes and product data using Windchill PLM, ensuring data integrity across functions. Collaborate with R&D and design teams to ensure manufacturability and assembly efficiency. Coaching & Collaboration Coach operators and technicians on best practices, new procedures, and equipment use. Act as a key point of contact between engineering, production, and quality teams to resolve manufacturing challenges. Promote a culture of learning, continuous improvement, and operational excellence. Workplace Ergonomics & Safety Conduct ergonomic assessments of production workstations to improve operator comfort and safety. Design tools, jigs, and fixtures to support ergonomic and efficient manufacturing practices. Recommend layout and workflow changes to reduce physical strain and enhance productivity. Continuous Improvement & Cost Reduction Apply Lean Manufacturing principles (e.g., 5S, Kaizen, SMED) to optimize workflow and reduce waste. Support cost-reduction initiatives by analysing material usage, labour efficiency, and equipment performance. Use data-driven approaches to assess current performance and implement sustainable improvements. Problem Solving & Root Cause Analysis Lead investigations into production issues, utilizing structured methods to identify root causes and corrective actions. Work collaboratively with suppliers and internal teams to resolve design and build quality concerns. Production Engineer - Essential Skills and Qualifications The ideal candidate MUST come from the Engineering & Manufacturing Industry as a Production Engineer. You will also have the following skills, qualifications and experience. Degree or equivalent in Mechanical, Manufacturing, or Production Engineering Proficient in Creo 3D CAD software. Experienced with Windchill or similar Product Lifecycle Management systems. Solid understanding of manufacturing processes, assembly methods, and design for manufacture (DFM). Demonstrated success in delivering process improvements and cost reductions. Ability to coach, mentor, and influence operators and technicians. Excellent communication, collaboration, and analytical skills. Knowledge of ergonomics and its practical application in a manufacturing environment. Production Engineer - Desirable Skills Exposure to Lean Manufacturing, Six Sigma, or other CI methodologies. Familiarity with ISO 9001 quality systems and production documentation. Experience working with ERP systems (e.g., SAP, Microsoft Dynamics). Experience in the coffee machine or similar consumer appliance sector. For more information please call Paul Gorton on (phone number removed). Ridgeline are acting as a 3rd party on behalf of our client. All applications will be held on our database for current and future positions. We will endeavour to get back to all applicants but if you have not heard from us within 10 working days then your application has been unsuccessful but please feel free to contact us for an update.
Oct 06, 2025
Full time
Production Engineer Location: Bristol Salary: 46k - 50k A local engineering company are now looking for a Production Engineer to join their team. Production Engineer - Job Overview We are looking for an enthusiastic and driven Production Engineer to join our manufacturing team. The successful candidate will be responsible for supporting production operations by improving manufacturing processes, introducing new products to the shop floor, and leading efficiency and ergonomic improvement projects. This role requires hands-on problem solving, collaboration across departments, and strong coaching abilities to uplift team capability and performance. A core focus will be on delivering long-term strategic improvements, reducing operational costs, and enhancing workplace ergonomics to ensure a safe, productive, and scalable manufacturing environment. Production Engineer - Key Responsibilities Manufacturing Support & Process Optimization Develop and refine production processes, work instructions, and tooling specifications. Drive long-term improvement strategies to enhance productivity and quality. Support the smooth introduction of new products from design into manufacturing. Identify and implement cost-saving measures through process streamlining and waste reduction. CAD & Product Lifecycle Management Utilize Creo to update and optimize technical drawings, 3D models, and assemblies. Manage design changes and product data using Windchill PLM, ensuring data integrity across functions. Collaborate with R&D and design teams to ensure manufacturability and assembly efficiency. Coaching & Collaboration Coach operators and technicians on best practices, new procedures, and equipment use. Act as a key point of contact between engineering, production, and quality teams to resolve manufacturing challenges. Promote a culture of learning, continuous improvement, and operational excellence. Workplace Ergonomics & Safety Conduct ergonomic assessments of production workstations to improve operator comfort and safety. Design tools, jigs, and fixtures to support ergonomic and efficient manufacturing practices. Recommend layout and workflow changes to reduce physical strain and enhance productivity. Continuous Improvement & Cost Reduction Apply Lean Manufacturing principles (e.g., 5S, Kaizen, SMED) to optimize workflow and reduce waste. Support cost-reduction initiatives by analysing material usage, labour efficiency, and equipment performance. Use data-driven approaches to assess current performance and implement sustainable improvements. Problem Solving & Root Cause Analysis Lead investigations into production issues, utilizing structured methods to identify root causes and corrective actions. Work collaboratively with suppliers and internal teams to resolve design and build quality concerns. Production Engineer - Essential Skills and Qualifications The ideal candidate MUST come from the Engineering & Manufacturing Industry as a Production Engineer. You will also have the following skills, qualifications and experience. Degree or equivalent in Mechanical, Manufacturing, or Production Engineering Proficient in Creo 3D CAD software. Experienced with Windchill or similar Product Lifecycle Management systems. Solid understanding of manufacturing processes, assembly methods, and design for manufacture (DFM). Demonstrated success in delivering process improvements and cost reductions. Ability to coach, mentor, and influence operators and technicians. Excellent communication, collaboration, and analytical skills. Knowledge of ergonomics and its practical application in a manufacturing environment. Production Engineer - Desirable Skills Exposure to Lean Manufacturing, Six Sigma, or other CI methodologies. Familiarity with ISO 9001 quality systems and production documentation. Experience working with ERP systems (e.g., SAP, Microsoft Dynamics). Experience in the coffee machine or similar consumer appliance sector. For more information please call Paul Gorton on (phone number removed). Ridgeline are acting as a 3rd party on behalf of our client. All applications will be held on our database for current and future positions. We will endeavour to get back to all applicants but if you have not heard from us within 10 working days then your application has been unsuccessful but please feel free to contact us for an update.
Pipe Fabricator Location: Gloucester, England World-leading landing gear - made by you. As part of our production team, the Pipe Fabricator will play a key role in producing landing gear pipes. You'll be operating conventional and CNC equipment for bending, hydraulic fitting swaging and pressure testing, while ensuring quality, cost, deadlines and safety requirements are met. You will also provide occasional support to the landing gear assembly line and contribute to improvements that enhance product quality and reduce production time. This is an exciting opportunity to join a growing local team, with investment being made on site and plenty of scope for learning and progression. What we offer: Work-life balance: A four-and-a-half-day working week, with Friday afternoons off (where applicable). Generous leave: 25 days' holiday plus UK bank holidays, with options to buy or sell days. Rewards: Annual bonus and share scheme options. Future security: A pension scheme with up to 8% matched contributions, plus life assurance at 4x your salary. Everyday support: Free onsite parking (including EV charging), subsidised restaurant, bicycle storage and shower facilities. Flexibility: A wide range of benefits tailored to your needs. What will I be doing? Preparing and installing tools, measuring and test equipment, and control stations. Loading computer programs and inputting equipment settings in line with production procedures. Running machine programmes to carry out operations and performing intermediate checks. Inspecting finished products and identifying defects. What do I need to succeed? A Mechanical Engineering Apprenticeship, NVQ Level 3 (or equivalent). Understanding of the principles of pipe manufacture. Knowledge of assembly processes and associated production acceptance testing. General knowledge of fabrication and use of relevant machinery. Ability to follow and understand technical drawings, specifications, procedures and test instructions. Awareness of risks related to Foreign Object Damage (FOD). Familiarity with quality tools such as 5S and Lean/Six Sigma. Ability to self-inspect and carry out dimensional measurements. CNC programming knowledge would be an advantage.
Oct 06, 2025
Full time
Pipe Fabricator Location: Gloucester, England World-leading landing gear - made by you. As part of our production team, the Pipe Fabricator will play a key role in producing landing gear pipes. You'll be operating conventional and CNC equipment for bending, hydraulic fitting swaging and pressure testing, while ensuring quality, cost, deadlines and safety requirements are met. You will also provide occasional support to the landing gear assembly line and contribute to improvements that enhance product quality and reduce production time. This is an exciting opportunity to join a growing local team, with investment being made on site and plenty of scope for learning and progression. What we offer: Work-life balance: A four-and-a-half-day working week, with Friday afternoons off (where applicable). Generous leave: 25 days' holiday plus UK bank holidays, with options to buy or sell days. Rewards: Annual bonus and share scheme options. Future security: A pension scheme with up to 8% matched contributions, plus life assurance at 4x your salary. Everyday support: Free onsite parking (including EV charging), subsidised restaurant, bicycle storage and shower facilities. Flexibility: A wide range of benefits tailored to your needs. What will I be doing? Preparing and installing tools, measuring and test equipment, and control stations. Loading computer programs and inputting equipment settings in line with production procedures. Running machine programmes to carry out operations and performing intermediate checks. Inspecting finished products and identifying defects. What do I need to succeed? A Mechanical Engineering Apprenticeship, NVQ Level 3 (or equivalent). Understanding of the principles of pipe manufacture. Knowledge of assembly processes and associated production acceptance testing. General knowledge of fabrication and use of relevant machinery. Ability to follow and understand technical drawings, specifications, procedures and test instructions. Awareness of risks related to Foreign Object Damage (FOD). Familiarity with quality tools such as 5S and Lean/Six Sigma. Ability to self-inspect and carry out dimensional measurements. CNC programming knowledge would be an advantage.
Production Supervisor Location: Mosstodloch, Fochabers Contract: Full time, permanent. About the role: We are looking to recruit a Production Supervisor for our busy Mostodloch Sawmill. Our Supervisors are responsible for a dedicated area within the site, ensuring that production output runs efficiently and effectively. The role is likely to suit an individual who has knowledge of machinery or an interest in mechanics. As a Production Supervisor, you will work as part of a team overseeing and creating a range of timber products. The role involves a degree of manual handling, lifting bending and twisting. You will be the first contact for a team of Production Operators. Hours of work are 07:00 - 16:30, Monday to Friday. Key tasks and responsibilities: Ensuring the team are working effectively and efficiently Ensuring good housekeeping of the work area Operating sawmilling machinery Making sure that all Health, Safety and Quality standards and instructions are understood and being followed Operation of Mobile Plant Vehicles Monitoring production targets Ensuring your team is competent Ability to resolve low level issues confidently Skills and Experience: Excellent communication skills Able to steer a team to achieve production goals and meet required standards Have worked in a supervisory capacity previously Have a flexible approach to work, understanding that you may undertake additional or other duties necessary to meet the needs of the company Have experience of working in a manufacturing/construction environment Pay and benefits: In addition to your pay, we offer a competitive package of benefits, some of which are summarised below: 33 days annual leave Contributory pension scheme Life assurance Employee assistance programme and app giving access to physiotherapy, counselling, health and wellbeing support and discounts for retail and leisure About James Jones: James Jones & Sons Ltd is a 5th generation family business and one of the UK's largest and most progressive timber processing companies with core activities in timber harvesting, sawmilling, pallets & packaging, and distribution. We operate from 27 sites across the UK, 19 Australian and 2 New Zealand sites and employ over 2,100 people. In the UK, we operate seven sawmills throughout Scotland and the north east of England: an engineered wood manufacturing plant in the north of Scotland and pallet and packaging operations at 14 sites across the UK. We produce high quality, British grown timber for the UK construction, landscaping, and agricultural sectors; market-leading JJI-Joists for the housebuilding and construction markets and pallets and packaging for blue chip domestic and exporting businesses. For further information about James Jones & Sons Ltd, visit Our Values: Here at James Jones & Sons Limited, our CARE values form the roots of everything that we do: Collaboration Ambition Respect Excellence If you believe in the power of teamwork, drive and challenge yourself to be the best that you can be, act with integrity and are committed to learning and continuous improvement then we are particularly keen to hear from like-minded people. Job Types: Full-time, Permanent Benefits: Company pension Free parking Health & wellbeing programme Life insurance On-site parking Ability to commute/relocate: Mosstodloch, IV32 7LH: reliably commute or plan to relocate before starting work (required) Work Location: In person
Oct 06, 2025
Full time
Production Supervisor Location: Mosstodloch, Fochabers Contract: Full time, permanent. About the role: We are looking to recruit a Production Supervisor for our busy Mostodloch Sawmill. Our Supervisors are responsible for a dedicated area within the site, ensuring that production output runs efficiently and effectively. The role is likely to suit an individual who has knowledge of machinery or an interest in mechanics. As a Production Supervisor, you will work as part of a team overseeing and creating a range of timber products. The role involves a degree of manual handling, lifting bending and twisting. You will be the first contact for a team of Production Operators. Hours of work are 07:00 - 16:30, Monday to Friday. Key tasks and responsibilities: Ensuring the team are working effectively and efficiently Ensuring good housekeeping of the work area Operating sawmilling machinery Making sure that all Health, Safety and Quality standards and instructions are understood and being followed Operation of Mobile Plant Vehicles Monitoring production targets Ensuring your team is competent Ability to resolve low level issues confidently Skills and Experience: Excellent communication skills Able to steer a team to achieve production goals and meet required standards Have worked in a supervisory capacity previously Have a flexible approach to work, understanding that you may undertake additional or other duties necessary to meet the needs of the company Have experience of working in a manufacturing/construction environment Pay and benefits: In addition to your pay, we offer a competitive package of benefits, some of which are summarised below: 33 days annual leave Contributory pension scheme Life assurance Employee assistance programme and app giving access to physiotherapy, counselling, health and wellbeing support and discounts for retail and leisure About James Jones: James Jones & Sons Ltd is a 5th generation family business and one of the UK's largest and most progressive timber processing companies with core activities in timber harvesting, sawmilling, pallets & packaging, and distribution. We operate from 27 sites across the UK, 19 Australian and 2 New Zealand sites and employ over 2,100 people. In the UK, we operate seven sawmills throughout Scotland and the north east of England: an engineered wood manufacturing plant in the north of Scotland and pallet and packaging operations at 14 sites across the UK. We produce high quality, British grown timber for the UK construction, landscaping, and agricultural sectors; market-leading JJI-Joists for the housebuilding and construction markets and pallets and packaging for blue chip domestic and exporting businesses. For further information about James Jones & Sons Ltd, visit Our Values: Here at James Jones & Sons Limited, our CARE values form the roots of everything that we do: Collaboration Ambition Respect Excellence If you believe in the power of teamwork, drive and challenge yourself to be the best that you can be, act with integrity and are committed to learning and continuous improvement then we are particularly keen to hear from like-minded people. Job Types: Full-time, Permanent Benefits: Company pension Free parking Health & wellbeing programme Life insurance On-site parking Ability to commute/relocate: Mosstodloch, IV32 7LH: reliably commute or plan to relocate before starting work (required) Work Location: In person
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Principal will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across Jazz Research and Development. The Principal will support data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Support the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Develop data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Strong knowledge of data engineering tools such as Python, R and SQL for data processing. Strong proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Strong proficiency with relational databases. Strong background in data modeling and database design. Familiarity with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Familiarity with Containerization such as Docker and EKS/Kubernetes. Familiarity with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Exposure to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 3-5 years of experience in data engineering, with at least 1.5 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
Oct 04, 2025
Full time
If you are a current Jazz employee please apply via the Internal Career site. Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to transform the lives of patients and their families. We are dedicated to developing life-changing medicines for people with serious diseases - often with limited or no therapeutic options. We have a diverse portfolio of marketed medicines, including leading therapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. Our patient-focused and science-driven approach powers pioneering research and development advancements across our robust pipeline of innovative therapeutics in oncology and neuroscience. Jazz is headquartered in Dublin, Ireland with research and development laboratories, manufacturing facilities and employees in multiple countries committed to serving patients worldwide. Please visit for more information. The Senior Principal will be responsible for leading projects related to data engineering requirements and initiatives across Jazz Research and Development. The Senior Principal will lead data projects from across the business including Clinical, Pre-Clinical, Non-Clinical, Chemistry, RWD and Omics. Essential Functions Lead the design, development and maintenance of data pipelines for processing Research and Development data from diverse sources (Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. Own data quality frameworks, validation processes and KPIs to ensure accuracy and consistency of data pipelines. Implement data versioning and lineage tracking to support data traceability, regulatory compliance and audit requirements. Create and maintain documentation for data processes, architectures, and workflows. Implement modern software development best practices (e.g. Code Versioning, DevOps, CD/CI). Support collaboration with RnD Researchers, Data scientists and Stakeholders to understand data requirements and deliver appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda. Expert proficiency with relational databases. Strong background in data modeling and database design. Strong knowledge with unstructured database technologies (e.g. NoSQL) and other database types (e.g. Graph). Experience with Containerization such as Docker and EKS/Kubernetes. Experience with one or more RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/Preferred Education Bachelor's Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master's Degree preferred 5-7 years of experience in data engineering, with at least 2 years focusing on healthcare, research or clinical related data Description of Physical Demands Occasional mobility within office environment Routinely sitting for extended periods of time Constantly operating a computer, printer, telephone and other similar office machinery Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .
