Principal Scientist - Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high-throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient-derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities Provide technical expertise to design, develop, optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Equal Opportunity Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Closing Date for Applications - 24th April 2026
Apr 24, 2026
Full time
Principal Scientist - Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high-throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient-derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities Provide technical expertise to design, develop, optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Equal Opportunity Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Closing Date for Applications - 24th April 2026
Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom. Corporate Functions. At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Responsibilities Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions Architect production inference infrastructure that meets Apple's performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft Minimum Qualifications Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost) Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple's technology stack Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments Preferred Qualifications Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality Contributions to open source ML frameworks, published research, or patents in relevant areas Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Company: Apple Inc. Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Apr 23, 2026
Full time
Principal Machine Learning Engineer, AI & Data Platforms (AiDP) London, England, United Kingdom. Corporate Functions. At Apple, we build AI systems that define experiences for billions of people and we do it with an unwavering commitment to privacy, performance, and craft. The AI & Data Platforms (AiDP) team is seeking a Principal Machine Learning Engineer to lead the design, fine tuning, evaluation, and productionisation of large language models and generative internal AI systems at global scale. This is a deeply hands on, high impact role: you will work across the full model lifecycle, from reinforcement learning and upstream training through to deployment of standalone, customer facing products. The ideal candidate is equal parts researcher, engineer, and product builder. You bring authoritative depth in LLM customisation and alignment, a sharp instinct for performance and quality, and the ability to ship end to end AI powered products that meet Apple's standard of excellence. If you thrive at the intersection of frontier model development, systems engineering, and product creation we want to hear from you. Responsibilities Lead the end to end development and productionisation of LLM based systems, from upstream training and reinforcement learning (RLHF/RLAIF) through fine tuning, alignment, and deployment of standalone, globally scaled products Design and implement comprehensive LLM evaluation and benchmarking frameworks, assessing model quality, safety, bias, latency, and cost efficiency to inform model selection and customisation decisions Architect production inference infrastructure that meets Apple's performance, privacy, and reliability standards at global scale, including model optimisation, quantisation, and efficient serving strategies Drive model customisation and adaptation strategies (prompt engineering, retrieval augmented generation, parameter efficient and full fine tuning) to deliver differentiated product experiences Build end to end AI powered products and features, taking full ownership from problem definition and prototyping through production release, working across Swift, Java, and Python codebases Establish engineering excellence across the ML development lifecycle, including robust testing, reproducibility, monitoring, documentation, and CI/CD for model and data pipelines Partner with research, product, design, and platform teams to translate emerging capabilities into scalable, user centric solutions - acting as a technical bridge between research innovation and product delivery Mentor and elevate ML engineers across the team, raising the bar on technical quality and fostering a culture of rigorous experimentation and engineering craft Minimum Qualifications Extensive hands on Machine Learning engineering experience, with a demonstrable track record of shipping ML powered products at scale Deep, practical expertise in LLM fine tuning, alignment, and customisation - including reinforcement learning from human feedback (RLHF), parameter efficient fine tuning (LoRA, QLoRA), prompt optimisation and LLM evaluation and benchmarking strategies (accuracy, latency, safety, cost) Strong software engineering proficiency across Python, Swift, and Java, with the ability to contribute production quality code across Apple's technology stack Experience building and operating enterprise grade ML pipelines (data preparation, distributed training, model optimisation, serving, and monitoring) in cloud (AWS, GCP, Azure) or on prem environments Preferred Qualifications Demonstrated ability to deliver end to end AI products - from problem framing and experimentation through to globally deployed, production grade solutions Published papers in top conferences in ML/Statistics/Maths/compsci. Experience with pre training or continued pre training of large language models, including data curation, curriculum design, and training stability at scale Expertise in reinforcement learning techniques for model alignment (RLHF, RLAIF, DPO, PPO) and safety/red teaming methodologies Deep familiarity with advanced agentic frameworks and architectures (LangChain, LangGraph, DSPy, AutoGen, or equivalent), including multi agent orchestration and tool use Experience with multimodal AI systems (text, image, code, speech) and cross modal reasoning Track record of building and shipping standalone AI native products - not just features - with direct accountability for user impact and product quality Contributions to open source ML frameworks, published research, or patents in relevant areas Expertise in inference optimisation techniques: quantisation (GPTQ, AWQ), speculative decoding, KV cache optimisation, and hardware aware model compilation Strong data engineering instincts - comfort designing data pipelines, curating training datasets, and producing high quality aggregated datasets at scale Demonstrated technical leadership: setting architectural direction, driving cross team alignment, and mentoring senior engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Company: Apple Inc. Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom
Job description Site Name: UK - Hertfordshire - Stevenage Posted Date: Apr 9 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in office work. Principal Scientist Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities In this role you will Provide technical expertise to design / develop / optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Closing Date for Applications: 24th April 2026 GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Apr 21, 2026
Full time
Job description Site Name: UK - Hertfordshire - Stevenage Posted Date: Apr 9 2026 We create a place where people can grow, be their best, be safe, and feel welcome, valued and included. We offer a competitive salary, an annual bonus based on company performance, healthcare and wellbeing programmes, pension plan membership, and shares and savings programme. We embrace modern work practises; our Performance with Choice programme offers a hybrid working model, empowering you to find the optimal balance between remote and in office work. Principal Scientist Automation for Cell Culture We are looking for a highly motivated individual experienced in automating biology, automated liquid handling, high throughput screening, and Quality Assurance (QA) processes and protocols to join GSK Oncology TA's Oncology Translational Research team. This team works collaboratively with members of the Oncology TA group to enhance clinical translatability and support preclinical development programs within GSK Oncology TA. The chosen candidate will be part of a group using patient derived organoids to develop and implement innovative cellular, genomic, and molecular techniques, applying multimodal analytics and machine learning models. The goal is to advance cancer patient risk stratification and predict responses to future targeted and immunotherapy treatments. Key responsibilities In this role you will Provide technical expertise to design / develop / optimise and deploy lab in a loop systems and orchestrated automation platforms, ensuring throughput and performance increase. Oversee network infrastructure for lab automation platforms, handling design, deployment, support, installation, configuration, qualification, and operational handover. Act as the main technical contact between research scientists, automation engineers, and GSK Tech to gather requirements, set priorities, deliver solutions and trainings, and promote ongoing improvements. Support a range of workflows including, but not limited to, organoid cell culture, compound treatment, preparation of samples for endpoint analysis (e.g. Flow cytometry, imaging). Develop and maintain technical documentation, SOPs, runbooks, and training materials for automation platforms, while collaborating with Cyber Security and OT teams to assess and remediate security risks. Basic Qualifications & Skills Experience with liquid handling methods and integrated automation systems in a research or laboratory environment (such as Bravo and Hamilton), scheduling software, data exchange protocols and programming languages such as Python, R, C#, or Java. Experience working with complex or non standard biological materials (e.g. viscous or ECM based systems) in sterile workflows and aseptic techniques in automated or semi automated environments. Bachelor's Degree in Life Science, Computer Science, Engineering, Bioinformatics, and significant practical experience in IT/OT roles supporting automation, infrastructure or applications in life sciences or research environments. Demonstrated experience with network, TCP/IP protocols, cyber security principles, secure configuration and system administration in lab automation settings, including practical experience configuring network interfaces for devices and instrument control systems. Experience with scripting. Strong analytical, problem solving, and communication abilities, enabling swift resolution of technical challenges and clear engagement with diverse stakeholders. Preferred Qualifications & Skills Experience in collaboration with biopharma. Experience in cell culture and/or 3D systems or spheroids. Ability to thrive in a fast paced, dynamic environment and adapt to changing priorities. Closing Date for Applications: 24th April 2026 GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
Glasgow, GBR, G511DA London, GBR, W1A 1AA Newcastle-upon-Tyne, GBR, NE991RN Salford, GBR, M50 2QH JOB DETAILS Principal Data Scientist - Discoverability, Recommendations Job Reference: 43528 Band: D Salary: £73,000 - £83,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: Permanent - Full Time Location: Salford, Glasgow, Newcastle, London. This is a hybrid role, and the successful candidate will balance office working with home working. We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. PURPOSE OF THE ROLE The BBC has been serving audiences online for decades. Across our flagship products - BBC iPlayer, Sounds, News, Sport, and more - we educate, inform, and entertain millions of people every single day. We are now accelerating our shift towards experiences that are shaped around our audiences: more personal, more relevant, and more responsive to their needs. At the heart of this transformation is the Recommendations team. We design and build large scale ML/AI systems that help audiences discover the right content at the right moment. Our work already powers experiences across the BBC, including personalised recommendations on iPlayer and BBC Sounds. We're now looking for a Principal Data Scientist to help us in this next stage of our journey. WHY JOIN THE TEAM As a Principal Data Scientist, you'll play a key role in shaping the technical direction of recommender systems used by millions of people each day. You'll be a hands on contributor - prototyping, experimenting, and guiding the technical approach for complex ML solutions at true BBC scale. Working in a cross-functional team, you'll partner closely with engineers, product managers, and data scientists to deliver high impact systems that help audiences connect with the BBC's breadth and depth of content. Beyond your immediate team, you'll be an active member of the wider BBC Data Science community. You'll have opportunities to share your work, influence the development of data science and AI practices across the organisation, and engage with external communities to continue your own learning and development. YOUR KEY RESPONSIBILITIES AND IMPACT You'll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise. You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products. You'll work effectively within a cross-functional environment, collaborating to overcome the real-world challenges of deploying and maintaining ML in production. You'll apply your knowledge of machine learning algorithms to solve complex user and business problems in a robust and scalable way. You'll join the wider BBC Data Science community, with internal and external opportunities to get involved, share your knowledge, and mentoring colleagues. YOUR SKILLS AND EXPERIENCE Extensive hands on experience in data science and machine learning, with a proven track record of contributing to technical machine learning projects. Experience developing and deploying recommender systems. Strong coding skills in Python. Ability to clearly communicate to both technical and non technical audiences. Ability to work effectively in a cross functional team. Experience with model lifecycle management and MLOps, including model deployment, versioning and monitoring. Good knowledge of cloud services, ideally AWS. Knowledge and understanding of best practices such as testing, code management and deployment. Mentorship and/or supervision of other team members. You are encouraged to apply even if you don't meet every one of the criteria above! We'll find above some of the skills and experience we expect from a Principal Data Scientist. Please do not think you have to tick all boxes: you will be working in a supportive and collaborative team, where we aim to put everyone in the condition to contribute at their best and feel that their work is useful and valued. Besides, you will find great development and learning opportunities to support your professional growth. We value diversity and are committed to be truly inclusive and a place where everyone belongs. APPLICATION PROCESS There is a 2-stage process: Hiring manager introductory call covering role background and candidate motivations for applying (external applicants only). 1.5 hour panel interview including a technical presentation from the candidate and role relevant competency-based questions. DISCLAIMER This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. DIVERSITY, INCLUSION & BELONGING We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. DISABILITY CONFIDENT We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we'd be happy to discuss: BENEFITS Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pensions scheme and discounted dental, health care and gym. Excellent career and professional development. Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer. A values based organisation where the way we do things is important as what we do. Benefits may vary if you are joining on an FTC basis or on an orchestra conditions contract. BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: , registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.
Apr 20, 2026
Full time
Glasgow, GBR, G511DA London, GBR, W1A 1AA Newcastle-upon-Tyne, GBR, NE991RN Salford, GBR, M50 2QH JOB DETAILS Principal Data Scientist - Discoverability, Recommendations Job Reference: 43528 Band: D Salary: £73,000 - £83,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. Contract type: Permanent - Full Time Location: Salford, Glasgow, Newcastle, London. This is a hybrid role, and the successful candidate will balance office working with home working. We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. PURPOSE OF THE ROLE The BBC has been serving audiences online for decades. Across our flagship products - BBC iPlayer, Sounds, News, Sport, and more - we educate, inform, and entertain millions of people every single day. We are now accelerating our shift towards experiences that are shaped around our audiences: more personal, more relevant, and more responsive to their needs. At the heart of this transformation is the Recommendations team. We design and build large scale ML/AI systems that help audiences discover the right content at the right moment. Our work already powers experiences across the BBC, including personalised recommendations on iPlayer and BBC Sounds. We're now looking for a Principal Data Scientist to help us in this next stage of our journey. WHY JOIN THE TEAM As a Principal Data Scientist, you'll play a key role in shaping the technical direction of recommender systems used by millions of people each day. You'll be a hands on contributor - prototyping, experimenting, and guiding the technical approach for complex ML solutions at true BBC scale. Working in a cross-functional team, you'll partner closely with engineers, product managers, and data scientists to deliver high impact systems that help audiences connect with the BBC's breadth and depth of content. Beyond your immediate team, you'll be an active member of the wider BBC Data Science community. You'll have opportunities to share your work, influence the development of data science and AI practices across the organisation, and engage with external communities to continue your own learning and development. YOUR KEY RESPONSIBILITIES AND IMPACT You'll use your technical skills to deliver value to BBC audiences, blending a breadth and depth of data science expertise. You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products. You'll work effectively within a cross-functional environment, collaborating to overcome the real-world challenges of deploying and maintaining ML in production. You'll apply your knowledge of machine learning algorithms to solve complex user and business problems in a robust and scalable way. You'll join the wider BBC Data Science community, with internal and external opportunities to get involved, share your knowledge, and mentoring colleagues. YOUR SKILLS AND EXPERIENCE Extensive hands on experience in data science and machine learning, with a proven track record of contributing to technical machine learning projects. Experience developing and deploying recommender systems. Strong coding skills in Python. Ability to clearly communicate to both technical and non technical audiences. Ability to work effectively in a cross functional team. Experience with model lifecycle management and MLOps, including model deployment, versioning and monitoring. Good knowledge of cloud services, ideally AWS. Knowledge and understanding of best practices such as testing, code management and deployment. Mentorship and/or supervision of other team members. You are encouraged to apply even if you don't meet every one of the criteria above! We'll find above some of the skills and experience we expect from a Principal Data Scientist. Please do not think you have to tick all boxes: you will be working in a supportive and collaborative team, where we aim to put everyone in the condition to contribute at their best and feel that their work is useful and valued. Besides, you will find great development and learning opportunities to support your professional growth. We value diversity and are committed to be truly inclusive and a place where everyone belongs. APPLICATION PROCESS There is a 2-stage process: Hiring manager introductory call covering role background and candidate motivations for applying (external applicants only). 1.5 hour panel interview including a technical presentation from the candidate and role relevant competency-based questions. DISCLAIMER This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. DIVERSITY, INCLUSION & BELONGING We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. DISABILITY CONFIDENT We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we'd be happy to discuss: BENEFITS Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pensions scheme and discounted dental, health care and gym. Excellent career and professional development. Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer. A values based organisation where the way we do things is important as what we do. Benefits may vary if you are joining on an FTC basis or on an orchestra conditions contract. BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: , registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.
Senior/Principal Air Quality Consultant Location: London Salary: 45,000 - 50,000 Overview Penguin Recruitment is excited to be hiring on behalf of a leading UK-based independent environmental consultancy. This is an exceptional opportunity to join a dynamic and mission-driven team dedicated to delivering innovative environmental solutions. The role is based in London, with occasional travel required for specific project needs. As a Senior/Principal Air Quality Consultant, you will play a pivotal role in supporting a wide range of projects across sectors such as transport, energy, industry, and government. This is your chance to contribute to meaningful work that has a tangible impact on environmental policy, strategy, and assessment. Responsibilities In this role, you will: Manage project teams and oversee the delivery of air quality assessments for new developments. Prepare Environmental Statement chapters, including those for Development Consent Order (DCO) applications. Lead and contribute to the development of proposals for public and private sector tenders. Conduct advanced atmospheric dispersion modelling for transport and industrial projects. Review and critically evaluate ambient air quality monitoring results. Mentor and train junior staff, supporting their professional development. Collaborate with senior experts to deliver high-quality, innovative solutions. Qualifications We are looking for candidates with the following skills and experience: Essential: Significant experience managing large and complex air quality assessments. Expertise in atmospheric dispersion modelling, particularly for transport and industrial infrastructure. Strong understanding of ambient air quality monitoring methods. Proficiency in Geographical Information Systems (GIS). Proven track record in consultancy with a strong customer focus. Excellent communication skills, both written and verbal. Strong technical capability and data interpretation skills. Full UK driving licence. Desirable: Experience in odour monitoring and modelling. Knowledge of greenhouse gas (GHG) inventories and climate change impacts. Familiarity with environmental permitting and regulator liaison. Experience working with other environmental disciplines, such as noise and biodiversity. Skills in programming, machine learning, statistics, or optimization. Educational Requirements: Relevant A-Levels or equivalent. BSc or higher in a science-based discipline. Membership in relevant professional institutions (e.g., IAQM) is advantageous. Day-to-Day Your daily responsibilities will include: Leading air quality assessments and ensuring timely project delivery. Engaging with clients to understand their needs and provide tailored solutions. Collaborating with multidisciplinary teams to deliver cross-disciplinary projects. Mentoring junior staff and fostering a supportive team environment. Staying updated on the latest developments in air quality science and policy. Benefits This role offers a competitive salary and a comprehensive benefits package, including: Enhanced pension scheme. Private medical insurance. Generous annual leave entitlement, with the option to purchase additional leave. Rail and bus season ticket loans. Cycle-to-work scheme. Group life assurance. Ongoing training and professional development opportunities. Employee recognition awards. Flexible working arrangements to support work-life balance. Access to wellbeing programmes, including mental health first aiders and an Employee Assistance Programme. Why Join Us? You will be joining a company that values Community , Collaboration , and Professionalism & Integrity . These core values shape our positive company culture and commitment to delivering high-quality services. We are an equal opportunities employer and welcome applications from all backgrounds. How to Apply For more information or to submit your application, please visit our website or contact Abi King at Penguin Recruitment Take the next step in your career and join a team that is shaping the future of environmental consultancy.
Oct 09, 2025
Full time
Senior/Principal Air Quality Consultant Location: London Salary: 45,000 - 50,000 Overview Penguin Recruitment is excited to be hiring on behalf of a leading UK-based independent environmental consultancy. This is an exceptional opportunity to join a dynamic and mission-driven team dedicated to delivering innovative environmental solutions. The role is based in London, with occasional travel required for specific project needs. As a Senior/Principal Air Quality Consultant, you will play a pivotal role in supporting a wide range of projects across sectors such as transport, energy, industry, and government. This is your chance to contribute to meaningful work that has a tangible impact on environmental policy, strategy, and assessment. Responsibilities In this role, you will: Manage project teams and oversee the delivery of air quality assessments for new developments. Prepare Environmental Statement chapters, including those for Development Consent Order (DCO) applications. Lead and contribute to the development of proposals for public and private sector tenders. Conduct advanced atmospheric dispersion modelling for transport and industrial projects. Review and critically evaluate ambient air quality monitoring results. Mentor and train junior staff, supporting their professional development. Collaborate with senior experts to deliver high-quality, innovative solutions. Qualifications We are looking for candidates with the following skills and experience: Essential: Significant experience managing large and complex air quality assessments. Expertise in atmospheric dispersion modelling, particularly for transport and industrial infrastructure. Strong understanding of ambient air quality monitoring methods. Proficiency in Geographical Information Systems (GIS). Proven track record in consultancy with a strong customer focus. Excellent communication skills, both written and verbal. Strong technical capability and data interpretation skills. Full UK driving licence. Desirable: Experience in odour monitoring and modelling. Knowledge of greenhouse gas (GHG) inventories and climate change impacts. Familiarity with environmental permitting and regulator liaison. Experience working with other environmental disciplines, such as noise and biodiversity. Skills in programming, machine learning, statistics, or optimization. Educational Requirements: Relevant A-Levels or equivalent. BSc or higher in a science-based discipline. Membership in relevant professional institutions (e.g., IAQM) is advantageous. Day-to-Day Your daily responsibilities will include: Leading air quality assessments and ensuring timely project delivery. Engaging with clients to understand their needs and provide tailored solutions. Collaborating with multidisciplinary teams to deliver cross-disciplinary projects. Mentoring junior staff and fostering a supportive team environment. Staying updated on the latest developments in air quality science and policy. Benefits This role offers a competitive salary and a comprehensive benefits package, including: Enhanced pension scheme. Private medical insurance. Generous annual leave entitlement, with the option to purchase additional leave. Rail and bus season ticket loans. Cycle-to-work scheme. Group life assurance. Ongoing training and professional development opportunities. Employee recognition awards. Flexible working arrangements to support work-life balance. Access to wellbeing programmes, including mental health first aiders and an Employee Assistance Programme. Why Join Us? You will be joining a company that values Community , Collaboration , and Professionalism & Integrity . These core values shape our positive company culture and commitment to delivering high-quality services. We are an equal opportunities employer and welcome applications from all backgrounds. How to Apply For more information or to submit your application, please visit our website or contact Abi King at Penguin Recruitment Take the next step in your career and join a team that is shaping the future of environmental consultancy.
? WORKING WITH US The founder and sponsor of the Harris Federation, Lord Harris of Peckham, opened our first school in 1990. We have, over the past thirty years, implemented ideas and initiatives that have transformed the opportunities of pupils from working class and disadvantaged backgrounds. Harris academies are widely recognised as a force for social mobility. We are immensely proud of the role that our alumni are now beginning to play in the world and of what we believe our current generation of pupils will go on to achieve. We now have over 50 schools educating more than 40,000 young people across London and Essex, and employ over 5,000 staff across our academies and head office. With the majority of our academies located in areas of high socioeconomic disadvantage, a high-quality education is key to the futures of the pupils we serve. As a provider of employment and education, we value the diversity of our staff and students, and all our staff are equally valued and respected. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. Our work will impact many generations to come, and our staff come from all backgrounds and walks of life, coming together to inspire young minds. We promote an inclusive culture that embraces the valuable and enriching contribution that all of our community make. We continue to be proactive in uplifting and supporting all voices at Harris. To discover more about our culture, ethos and what it is like to work here, visit the page. ? ABOUT THIS OPPORTUNITY We are looking for a receptionist to work within the Harris Federation Head Office, undertaking Reception and other administrative duties within the CEO's team. ? MAIN AREAS OF RESPONSIBILITY Your responsibilities will include: Greeting and receiving all visitors to Head Office in a professional manner, ensuring compliance with safeguarding and Health & Safety protocols Operating the telephone switchboard, directing calls to appropriate departments or staff members, taking messages, and responding promptly to enquiries from parents/carers and the public Maintaining the reception area and meeting rooms to a high standard, ensuring they are tidy, presentable and reset after use, and reporting any maintenance issues to the Office Manager Supporting the Office Manager with office maintenance tasks, including coordinating fire drills, liaising with engineers and managing heating/air con servicing Organising and preparing refreshments for meetings and events Updating employee records to reflect staff changes for switchboard/Inventry accuracy Managing incoming and outgoing mail and parcels, including maintaining the franking machine account and ordering supplies Coordinating courier services and managing related accounts Maintaining the academy contact sheet, ensuring Principal and PA details are current Building positive relationships with staff, contractors and external agencies to support the Federation's objectives A full list of responsibilities can be found in the Job Pack. WHAT WE ARE LOOKING FOR We would like to hear from you if you have: Flexibility and ability to respond to multiple demands and to prioritise The ability to work well with colleagues and visitors A high level of adaptability to changing demands The ability to work collaboratively as part of a team The ability to plan and organise work to meet varying deadlines The ability to work on own and take initiative Strong written and verbal communication skills Experience of delivering a high-quality service Experience of a range of general administrative duties. Good ICT skills and experience, including Word, Excel and management information systems (MIS) Please download the Job Pack for a full person specification. ? APPLYING FOR THIS POSITION If you would like to discuss the opportunity further, or if you have any questions, please contact us via email to arrange a conversation. Before applying please ensure you download the job pack from our careers website, t his will help with completing your application. Please note that we only accept applications submitted online before the closing date. When applying, you will have the option to import your CV or use a LinkedIn profile which will auto populate the online application. A reminder to check your junk mail for our email communications and add us to your safe senders list to ensure all future email communication is received. OUR VISION & VALUES Our vision, from the start, has been to provide the structure and services needed for our schools to amount to more than the sum of their parts, and to free-up our teachers and leaders to focus on one thing and one thing only: the outstanding education of all their pupils. Our young people and communities are at the heart of everything we do. Our core mission has always been to close the educational gap between young people from disadvantaged backgrounds and their peers. Our ambition is one where every child in London, no matter their background, has equal access to high quality education, giving them the same opportunities and potential to succeed. We know there are many challenges facing our young people and the communities we serve, and that's why we need determined people like you to help us tackle those inequalities. Whilst each of our academies has their own unique cultures and values; as a whole Federation, we have four core values which are central to successfully achieving our vision: Excellence, Collaboration, Support, and Innovation. We are proud of our values because they guide us in how we work allowing us to achieve the best possible outcomes for our young people, communities, and colleagues. IMPORTANT INFORMATION Safeguarding Notice The Harris Federation and all our academies are committed to ensuring the highest levels of safeguarding and promoting the welfare of children and young people, and we expect all our staff and volunteers to share this commitment. All offers of employment are subject to an enhanced Disclosure and Barring Service (DBS) check, references, an online search, and where applicable, a prohibition from teaching check will be completed. Equal Opportunities The Harris Federation is an equal opportunities employer and welcomes applications from all suitably qualified candidates. We value the diversity of our staff and students, and everyone at the Harris Federation is equally valued and respected. We aim to be an inclusive employer that reflects the communities we serve. We are committed to providing a fair, equitable and mutually supportive learning and working environment. ? WHAT WE CAN OFFER YOU Harris has a strong culture of collaboration and best practice, with professional development and career planning at its centre. We invest in our staff with support, coaching, mentoring, and a wide range of top-quality training programmes delivered at every level. You will also have access to a variety of benefits, support programmes and initiatives including: Excellent opportunities for continuous professional development and career progression Annual performance and loyalty bonus Pension scheme (Teachers' Pension Scheme or Local Government Pension Scheme) with generous employer contribution 26 days' annual leave (inclusive of our Christmas Eve closure day) plus bank holidays, rising to 27 days after 2 years' service, or equivalent for staff on term time contracts Harris Wellbeing Cash Plan including cover for routine and specialist healthcare Employee Assistance Programme for free and confidential advice Cycle to work salary sacrifice scheme Wide range of shopping, leisure, and travel discounts 20% off at Tapi Carpets, exclusive to Harris employees Interest-free ICT and season ticket loans For most non-teaching staff based at our Head Office in East Croydon, we also offer lifestyle friendly working arrangements including flexible start and end times, and hybrid working with two days from home and three days on site.
Oct 06, 2025
Full time
? WORKING WITH US The founder and sponsor of the Harris Federation, Lord Harris of Peckham, opened our first school in 1990. We have, over the past thirty years, implemented ideas and initiatives that have transformed the opportunities of pupils from working class and disadvantaged backgrounds. Harris academies are widely recognised as a force for social mobility. We are immensely proud of the role that our alumni are now beginning to play in the world and of what we believe our current generation of pupils will go on to achieve. We now have over 50 schools educating more than 40,000 young people across London and Essex, and employ over 5,000 staff across our academies and head office. With the majority of our academies located in areas of high socioeconomic disadvantage, a high-quality education is key to the futures of the pupils we serve. As a provider of employment and education, we value the diversity of our staff and students, and all our staff are equally valued and respected. We are committed to providing a fair, equitable and mutually supportive learning and working environment for our students and staff. Our work will impact many generations to come, and our staff come from all backgrounds and walks of life, coming together to inspire young minds. We promote an inclusive culture that embraces the valuable and enriching contribution that all of our community make. We continue to be proactive in uplifting and supporting all voices at Harris. To discover more about our culture, ethos and what it is like to work here, visit the page. ? ABOUT THIS OPPORTUNITY We are looking for a receptionist to work within the Harris Federation Head Office, undertaking Reception and other administrative duties within the CEO's team. ? MAIN AREAS OF RESPONSIBILITY Your responsibilities will include: Greeting and receiving all visitors to Head Office in a professional manner, ensuring compliance with safeguarding and Health & Safety protocols Operating the telephone switchboard, directing calls to appropriate departments or staff members, taking messages, and responding promptly to enquiries from parents/carers and the public Maintaining the reception area and meeting rooms to a high standard, ensuring they are tidy, presentable and reset after use, and reporting any maintenance issues to the Office Manager Supporting the Office Manager with office maintenance tasks, including coordinating fire drills, liaising with engineers and managing heating/air con servicing Organising and preparing refreshments for meetings and events Updating employee records to reflect staff changes for switchboard/Inventry accuracy Managing incoming and outgoing mail and parcels, including maintaining the franking machine account and ordering supplies Coordinating courier services and managing related accounts Maintaining the academy contact sheet, ensuring Principal and PA details are current Building positive relationships with staff, contractors and external agencies to support the Federation's objectives A full list of responsibilities can be found in the Job Pack. WHAT WE ARE LOOKING FOR We would like to hear from you if you have: Flexibility and ability to respond to multiple demands and to prioritise The ability to work well with colleagues and visitors A high level of adaptability to changing demands The ability to work collaboratively as part of a team The ability to plan and organise work to meet varying deadlines The ability to work on own and take initiative Strong written and verbal communication skills Experience of delivering a high-quality service Experience of a range of general administrative duties. Good ICT skills and experience, including Word, Excel and management information systems (MIS) Please download the Job Pack for a full person specification. ? APPLYING FOR THIS POSITION If you would like to discuss the opportunity further, or if you have any questions, please contact us via email to arrange a conversation. Before applying please ensure you download the job pack from our careers website, t his will help with completing your application. Please note that we only accept applications submitted online before the closing date. When applying, you will have the option to import your CV or use a LinkedIn profile which will auto populate the online application. A reminder to check your junk mail for our email communications and add us to your safe senders list to ensure all future email communication is received. OUR VISION & VALUES Our vision, from the start, has been to provide the structure and services needed for our schools to amount to more than the sum of their parts, and to free-up our teachers and leaders to focus on one thing and one thing only: the outstanding education of all their pupils. Our young people and communities are at the heart of everything we do. Our core mission has always been to close the educational gap between young people from disadvantaged backgrounds and their peers. Our ambition is one where every child in London, no matter their background, has equal access to high quality education, giving them the same opportunities and potential to succeed. We know there are many challenges facing our young people and the communities we serve, and that's why we need determined people like you to help us tackle those inequalities. Whilst each of our academies has their own unique cultures and values; as a whole Federation, we have four core values which are central to successfully achieving our vision: Excellence, Collaboration, Support, and Innovation. We are proud of our values because they guide us in how we work allowing us to achieve the best possible outcomes for our young people, communities, and colleagues. IMPORTANT INFORMATION Safeguarding Notice The Harris Federation and all our academies are committed to ensuring the highest levels of safeguarding and promoting the welfare of children and young people, and we expect all our staff and volunteers to share this commitment. All offers of employment are subject to an enhanced Disclosure and Barring Service (DBS) check, references, an online search, and where applicable, a prohibition from teaching check will be completed. Equal Opportunities The Harris Federation is an equal opportunities employer and welcomes applications from all suitably qualified candidates. We value the diversity of our staff and students, and everyone at the Harris Federation is equally valued and respected. We aim to be an inclusive employer that reflects the communities we serve. We are committed to providing a fair, equitable and mutually supportive learning and working environment. ? WHAT WE CAN OFFER YOU Harris has a strong culture of collaboration and best practice, with professional development and career planning at its centre. We invest in our staff with support, coaching, mentoring, and a wide range of top-quality training programmes delivered at every level. You will also have access to a variety of benefits, support programmes and initiatives including: Excellent opportunities for continuous professional development and career progression Annual performance and loyalty bonus Pension scheme (Teachers' Pension Scheme or Local Government Pension Scheme) with generous employer contribution 26 days' annual leave (inclusive of our Christmas Eve closure day) plus bank holidays, rising to 27 days after 2 years' service, or equivalent for staff on term time contracts Harris Wellbeing Cash Plan including cover for routine and specialist healthcare Employee Assistance Programme for free and confidential advice Cycle to work salary sacrifice scheme Wide range of shopping, leisure, and travel discounts 20% off at Tapi Carpets, exclusive to Harris employees Interest-free ICT and season ticket loans For most non-teaching staff based at our Head Office in East Croydon, we also offer lifestyle friendly working arrangements including flexible start and end times, and hybrid working with two days from home and three days on site.
Maintenance Engineer We're proud to be Bakkavor Salary: £57,062 per annum Benefits: Highly competitive rewards package, life assurance, and excellent career progression prospects across the Bakkavor group Location: Holbeach Ways of Working: Site Based Shift: 3on 3off shift pattern, 18:00 - 06:00 Contract Type: Permanent Why join us? We're ready for anything. We thrive on challenge and change. The undeniable pressure and pace of our 24/7 operation keeps us on our toes and offers a variety of career pathways and options to explore and pursue. We encourage everyone to work hard, push further and show resilience. And it's exciting. Because only by mentoring and role modelling our success and innovation, will we continue to diversify, grow as individuals and succeed together. What we do. This fantastic opportunity will be based at our Bakkavor Pizza site in Holbeach St Marks, Lincolnshire. The site specialises in making chilled pizzas and is 11 miles from Spalding, 13.5 miles from Boston, 18 miles from Wisbech, 23 miles from King's Lynn and 29 miles from Peterborough. About the role. We have a fantastic opportunity for a Maintenance Engineer to join our expanding team and site. The Maintenance Engineer will conduct planned and predictive maintenance to prevent issues occurring. Your role will lead or support the operational teams with machinery change overs and set ups. Working with other teams, you will contribute to technical performance reviews and continuous improvement activities. Our Maintenance Engineers work as part of a team or standalone, depending on the task. The role reports to the Engineering Teams Manager . Role Accountabilities: Conduct planned maintenance of processing and packaging assets. Conduct predictive maintenance of food processing and packaging assets (condition-based monitoring). Respond to breakdowns. Conduct reactive maintenance or corrective actions to resolve deviation. Identify faults (electrical, mechanical, instrumentation, automation, and pneumatics) and action as required. Lead or support operational teams with machinery change overs and set ups. Manufacture and repair component parts for processing and packaging assets. Contribute to continuous improvement projects to optimise assets or processes. About you Engineering apprenticeship (C&G / EAL NVQ Level 3 / 4 or OAL FDEM Diploma) Current Edition of IET Wiring Regulations (C&G Level 3, achieve within 12 months). Application of Safety, Health and Environmental legislation and procedures Planning works and writing reports. Verify assets meet performance criteria after work. Reading and adhering to site SOPs. CMMS experience (achieve within 12 months). Electrical bias Experience in the following would be advantageous - Mechanical principles, F&D assets, welding, machining, turning, hydraulic, pneumatic & thermodynamics systems and / or, electrical principals, motors, motor control circuits, motion control, encoders, PLCs, sensors. What you'll receive. As an equal opportunity employer, we're committed to providing a safe and rewarding environment for you to thrive in. This is why we work hard to deliver benefits, rewards and wellbeing offerings that are important to you. You'll enjoy: Life Assurance (1 x salary) 23 days holiday Staff Shop Stakeholder Pension Scheme MyBargains Discount Platform Personal Accident Insurance Free Independent Mortgage Advice Employee Assistance Programme A Range of voluntary benefits (holiday purchase scheme, additional life assurance, dental & hospital cash plans) Discounted tutoring for children Access to financial learning tools and affordable loans via your salary Private Medical Insurance (after 5 years service) Free Car parking Plus, a commitment to your wellbeing that includes emotional, physical and financial support services delivered by our fantastic team of wellbeing champions. Proud to be Bakkavor. We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team! At Bakkavor, we are committed to building an inclusive workplace where everyone can thrive, and we believe that diversity makes us stronger. We welcome and encourage applications from all backgrounds and ensure fair, transparent recruitment practices. Learn more about our commitment in our Inclusion and Diversity Policy ( Inclusion & Diversity Policy ). Find out more and apply.
Oct 04, 2025
Full time
Maintenance Engineer We're proud to be Bakkavor Salary: £57,062 per annum Benefits: Highly competitive rewards package, life assurance, and excellent career progression prospects across the Bakkavor group Location: Holbeach Ways of Working: Site Based Shift: 3on 3off shift pattern, 18:00 - 06:00 Contract Type: Permanent Why join us? We're ready for anything. We thrive on challenge and change. The undeniable pressure and pace of our 24/7 operation keeps us on our toes and offers a variety of career pathways and options to explore and pursue. We encourage everyone to work hard, push further and show resilience. And it's exciting. Because only by mentoring and role modelling our success and innovation, will we continue to diversify, grow as individuals and succeed together. What we do. This fantastic opportunity will be based at our Bakkavor Pizza site in Holbeach St Marks, Lincolnshire. The site specialises in making chilled pizzas and is 11 miles from Spalding, 13.5 miles from Boston, 18 miles from Wisbech, 23 miles from King's Lynn and 29 miles from Peterborough. About the role. We have a fantastic opportunity for a Maintenance Engineer to join our expanding team and site. The Maintenance Engineer will conduct planned and predictive maintenance to prevent issues occurring. Your role will lead or support the operational teams with machinery change overs and set ups. Working with other teams, you will contribute to technical performance reviews and continuous improvement activities. Our Maintenance Engineers work as part of a team or standalone, depending on the task. The role reports to the Engineering Teams Manager . Role Accountabilities: Conduct planned maintenance of processing and packaging assets. Conduct predictive maintenance of food processing and packaging assets (condition-based monitoring). Respond to breakdowns. Conduct reactive maintenance or corrective actions to resolve deviation. Identify faults (electrical, mechanical, instrumentation, automation, and pneumatics) and action as required. Lead or support operational teams with machinery change overs and set ups. Manufacture and repair component parts for processing and packaging assets. Contribute to continuous improvement projects to optimise assets or processes. About you Engineering apprenticeship (C&G / EAL NVQ Level 3 / 4 or OAL FDEM Diploma) Current Edition of IET Wiring Regulations (C&G Level 3, achieve within 12 months). Application of Safety, Health and Environmental legislation and procedures Planning works and writing reports. Verify assets meet performance criteria after work. Reading and adhering to site SOPs. CMMS experience (achieve within 12 months). Electrical bias Experience in the following would be advantageous - Mechanical principles, F&D assets, welding, machining, turning, hydraulic, pneumatic & thermodynamics systems and / or, electrical principals, motors, motor control circuits, motion control, encoders, PLCs, sensors. What you'll receive. As an equal opportunity employer, we're committed to providing a safe and rewarding environment for you to thrive in. This is why we work hard to deliver benefits, rewards and wellbeing offerings that are important to you. You'll enjoy: Life Assurance (1 x salary) 23 days holiday Staff Shop Stakeholder Pension Scheme MyBargains Discount Platform Personal Accident Insurance Free Independent Mortgage Advice Employee Assistance Programme A Range of voluntary benefits (holiday purchase scheme, additional life assurance, dental & hospital cash plans) Discounted tutoring for children Access to financial learning tools and affordable loans via your salary Private Medical Insurance (after 5 years service) Free Car parking Plus, a commitment to your wellbeing that includes emotional, physical and financial support services delivered by our fantastic team of wellbeing champions. Proud to be Bakkavor. We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team! At Bakkavor, we are committed to building an inclusive workplace where everyone can thrive, and we believe that diversity makes us stronger. We welcome and encourage applications from all backgrounds and ensure fair, transparent recruitment practices. Learn more about our commitment in our Inclusion and Diversity Policy ( Inclusion & Diversity Policy ). Find out more and apply.
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: .
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: .
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
Oct 02, 2025
Full time
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
Oct 01, 2025
Full time
Principal Cybersecurity Machine Learning Engineer The position is a senior technical role, requiring knowledge of data engineering, data science, advanced analytics techniques, research and development, and innovation within one or more of the Cybersecurity sciences (e.g. network, endpoint and cloud security, cryptography, malware analysis, vulnerability assessment, privileged access management, anomaly/intrusion detection, incident response, or offensive security). The Principal Cybersecurity Analytics Engineer role is a key leadership, hands on technical role, contributing to, coordinating, and leading delivery of advanced analytics solutions to cybersecurity problems through rapid development of prototypes, engineering of production solutions, and exploration of longer term, potentially ground-breaking technologies. Cybersecurity-specific knowledge is required for the role, but exceptional candidates from other disciplines will also be considered. The ideal candidate will possess strong technical skills, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation. You will have access to tailored professional development opportunities and a competitive pay and benefits package. This includes private healthcare for all UK-based employees, enhanced maternity and adoption pay and support when you return to work, and a contributory pension scheme with a generous employer contribution. In this role you will: Data Engineering Ingestion and provisioning of datasets, delta tables, and/or curated, re-usable data assets to enable Cybersecurity use cases. Support and enhancement of data ingestion infrastructure and pipelines. Platform Operations and Production Support Provide maintenance and run support for landing zones/cloud workspaces operated on behalf of Cybersecurity teams. Cybersecurity Sciences Research & Development (R&D) and Innovation Drive innovative research & development to test and evolve new technologies and advanced analytic techniques. Explore and develo innovative capabilities, exploiting emerging technologies and data science to help stay ahead of advancing cyber threats. Rapid Response Respond to urgent requests to address vulnerabilities or emerging threats. Advanced Analytics & Security Software Development Support Cybersecurity teams in using data and advanced analytic technologies effectively to enhance operations and inform decisions. Deliver critical analytics engineering requirements across Cybersecurity. Develop new data products, analysis platforms, and custom AI solutions to enable Cybersecurity teams to monitor controls more effectively, automatically detect and triage malicious activity, optimise manual tasks, better protect HSBC, and meet the needs of customers. Develop new models, detections, and automations to protect against advanced and emerging threats and help Cybersecurity operate efficiently and effectively at scale. Develop custom security applications, APIs, and data-driven services in support of the Cybersecurity mission. To be successful in this role you should meet the following requirements: Strong Data Technology skills, with the ability to build, operate, maintain and support loud infrastructure & data services at scale Extensive experience of Big Data Technologies (Databricks, Spark etc) Cloud Infrastructure & Platform Engineering experience (Azure preferred) The ability to conduct cybersecurity industry research and rapidly develop data-driven prototypes for live business problems faced by Cybersecurity teams Experience developing custom security applications, APIs, AI/ML models, detections, automations, and advanced analytic technologies to mitigate against current and emerging threats The ability to act as a Cybersecurity data domain expert and advise stakeholders how to use data and analytics to drive business change and improvement Proficiency in applying data science and advanced analytics techniques to the Cybersecurity domain and its associated datasets Full Stack Engineering and custom security software development experience with proficiency in programming languages such as Python, Java, C#, or similar preferred. This role can be based in Sheffield or Birmingham or London
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Oct 01, 2025
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Staff Engineer - Optimisation and Machine Learning London (Hybrid - 3 days in office) Permanent I'm looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments and make genuine breakthroughs. The Company They are a well-funded Life Sciences automation company that's scaling fast. They're using robotics and intelligent software to fundamentally change how scientific labs operate with industrial-scale optimisation. What You'll Actually Be Doing You'll be the technical lead on some genuinely challenging problems: Optimisation at scale : Building solvers that can handle real-world constraints using OR-Tools, commercial solvers, or your own custom algorithms when nothing else works Production ML systems : Taking academic theories and making them work reliably in production environments (Python, Docker, Kubernetes stack) Pragmatic problem-solving : Knowing when to use exact methods vs when to build heuristics that actually perform at scale Technical leadership : Shaping the technical direction and mentoring other engineers What We're Looking For Deep optimisation knowledge : You've built solvers before and understand the trade-offs between different approaches Strong Python engineering : Not just scripting - proper software engineering with testing, monitoring, and production deployment experience ML systems experience : You've taken ML models from proof-of-concept to production systems that handle real workloads Problem-solving mindset : You enjoy the challenge of constraints and finding elegant solutions to complex problems Any experience in laboratory automation, pharma/biotech, or industrial automation would be beneficial but is not essential. Applicants with strong optimisation backgrounds from supply chain or manufacturing would also be of interest. Why This Role Works Real impact : Your optimisation algorithms will directly influence scientific research happening in labs worldwide Technical depth : Complex problems that require genuine engineering skill, not just following tutorials Hybrid flexibility : 3 days in London office, 2 days remote Strong backing : Well-funded with clear growth trajectory This is the kind of role where your optimisation expertise will be genuinely valued and challenged. If you're tired of basic ML work and want to solve problems that actually require mathematical sophistication, let's talk. APPLY TODAY for immediate consideration.
Sep 24, 2025
Full time
Staff Engineer - Optimisation and Machine Learning London (Hybrid - 3 days in office) Permanent I'm looking to speak to Principal Optimisation Engineers who would be interested in solving complex optimisation that will benefits organisations globally in the Life Sciences industry. You will be working on problems that actually matter, building systems that help scientists run better experiments and make genuine breakthroughs. The Company They are a well-funded Life Sciences automation company that's scaling fast. They're using robotics and intelligent software to fundamentally change how scientific labs operate with industrial-scale optimisation. What You'll Actually Be Doing You'll be the technical lead on some genuinely challenging problems: Optimisation at scale : Building solvers that can handle real-world constraints using OR-Tools, commercial solvers, or your own custom algorithms when nothing else works Production ML systems : Taking academic theories and making them work reliably in production environments (Python, Docker, Kubernetes stack) Pragmatic problem-solving : Knowing when to use exact methods vs when to build heuristics that actually perform at scale Technical leadership : Shaping the technical direction and mentoring other engineers What We're Looking For Deep optimisation knowledge : You've built solvers before and understand the trade-offs between different approaches Strong Python engineering : Not just scripting - proper software engineering with testing, monitoring, and production deployment experience ML systems experience : You've taken ML models from proof-of-concept to production systems that handle real workloads Problem-solving mindset : You enjoy the challenge of constraints and finding elegant solutions to complex problems Any experience in laboratory automation, pharma/biotech, or industrial automation would be beneficial but is not essential. Applicants with strong optimisation backgrounds from supply chain or manufacturing would also be of interest. Why This Role Works Real impact : Your optimisation algorithms will directly influence scientific research happening in labs worldwide Technical depth : Complex problems that require genuine engineering skill, not just following tutorials Hybrid flexibility : 3 days in London office, 2 days remote Strong backing : Well-funded with clear growth trajectory This is the kind of role where your optimisation expertise will be genuinely valued and challenged. If you're tired of basic ML work and want to solve problems that actually require mathematical sophistication, let's talk. APPLY TODAY for immediate consideration.
Maintenance Engineer We rise to challenges together £57,790 - Plus, our benefits listed below including; Life Assurance, our products at heavily discounted rates for our Newark Desserts Staff Shop, and Bakkavor MyBargains. Based at Bakkavor Desserts Newark, Jessop Way, Newark, NG24 2ER 17:45pm-05.45am 4on 4off B Nights Contract Type - Permanent Why join us? We're ready for anything. We thrive on challenge and change. The undeniable pressure and pace of our 24/7 operation keeps us on our toes and offers a variety of career pathways and options to explore and pursue. We encourage everyone to work hard, push further and show resilience. And it's exciting. Because only by mentoring and role modelling our success and innovation, will we continue to diversify, grow as individuals and succeed together. What we do We're the biggest name you've never heard of. You've probably eaten our food - you just didn't realise it. We make innovative fresh products, with around 18,500 colleagues working across the UK, US and China. We're the market leader in the UK fresh prepared food industry supplying meals, salads, desserts, pizza and bread to leading grocery retailers (including Tesco, M&S, Sainsbury's and Waitrose). We're ambitious. We're full of ideas. And we're ready for more people who share our values and passion for quality to join us. This particular role is based at our Bakkavor Desserts site in Newark, Nottinghamshire and specialises in making chilled desserts such as trifles, creamcakes and choux pastries. The site employs over 1,900 people and is one of eight Manufacturing sites that are part of the Bakkavor Bakery sector in the UK. About the role We have a fantastic opportunity for a Maintenance Engineer to join our expanding team and site. The Maintenance Engineer will conduct planned and predictive maintenance to prevent issues occurring. Your role will lead or support the operational teams with machinery change overs and set ups. Working with other teams, you will contribute to technical performance reviews and continuous improvement activities. Our Maintenance Engineers work as part of a team or standalone, depending on the task. The role reports to the Engineering Teams Manager Role Accountabilities Conduct planned maintenance of processing and packaging assets. Conduct predictive maintenance of food processing and packaging assets (condition-based monitoring). Respond to breakdowns. Conduct reactive maintenance or corrective actions to resolve deviation. Identify faults (electrical, mechanical, instrumentation, automation, and pneumatics) and action as required. Lead or support operational teams with machinery change overs and set ups. Manufacture and repair component parts for processing and packaging assets. Contribute to continuous improvement projects to optimise assets or processes. About you Engineering apprenticeship (C&G / EAL NVQ Level 3 / 4 or OAL FDEM Diploma) Current Edition of IET Wiring Regulations (C&G Level 3, achieve within 12 months). Application of Safety, Health and Environmental legislation and procedures Planning works and writing reports. Verify assets meet performance criteria after work. Reading and adhering to site SOPs. CMMS experience (achieve within 12 months). Electrical bias Experience in the following would be advantageous - Mechanical principles, F&D assets, welding, machining, turning, hydraulic, pneumatic & thermodynamics systems and / or, electrical principals, motors, motor control circuits, motion control, encoders, PLCs, sensors. What you'll receive As an equal opportunity employer, we're committed to providing a safe and rewarding environment for you to thrive in. This is why we work hard to deliver benefits, rewards and wellbeing offerings that are important to you. You'll enjoy: Life Assurance (1 x salary) 23 days holiday Staff Shop Stakeholder Pension Scheme MyBargains Discount Platform Personal Accident Insurance Free Independent Mortgage Advice Employee Assistance Programme A Range of voluntary benefits (holiday purchase scheme, additional life assurance, dental & hospital cash plans) Discounted tutoring for children Access to financial learning tools and affordable loans via your salary Private Medical Insurance (after 5 years service) Free Carparking Plus, a commitment to your wellbeing that includes emotional, physical and financial support services delivered by our fantastic team of wellbeing champions. Proud to be Bakkavor We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team! Find out more and apply.
Sep 22, 2025
Full time
Maintenance Engineer We rise to challenges together £57,790 - Plus, our benefits listed below including; Life Assurance, our products at heavily discounted rates for our Newark Desserts Staff Shop, and Bakkavor MyBargains. Based at Bakkavor Desserts Newark, Jessop Way, Newark, NG24 2ER 17:45pm-05.45am 4on 4off B Nights Contract Type - Permanent Why join us? We're ready for anything. We thrive on challenge and change. The undeniable pressure and pace of our 24/7 operation keeps us on our toes and offers a variety of career pathways and options to explore and pursue. We encourage everyone to work hard, push further and show resilience. And it's exciting. Because only by mentoring and role modelling our success and innovation, will we continue to diversify, grow as individuals and succeed together. What we do We're the biggest name you've never heard of. You've probably eaten our food - you just didn't realise it. We make innovative fresh products, with around 18,500 colleagues working across the UK, US and China. We're the market leader in the UK fresh prepared food industry supplying meals, salads, desserts, pizza and bread to leading grocery retailers (including Tesco, M&S, Sainsbury's and Waitrose). We're ambitious. We're full of ideas. And we're ready for more people who share our values and passion for quality to join us. This particular role is based at our Bakkavor Desserts site in Newark, Nottinghamshire and specialises in making chilled desserts such as trifles, creamcakes and choux pastries. The site employs over 1,900 people and is one of eight Manufacturing sites that are part of the Bakkavor Bakery sector in the UK. About the role We have a fantastic opportunity for a Maintenance Engineer to join our expanding team and site. The Maintenance Engineer will conduct planned and predictive maintenance to prevent issues occurring. Your role will lead or support the operational teams with machinery change overs and set ups. Working with other teams, you will contribute to technical performance reviews and continuous improvement activities. Our Maintenance Engineers work as part of a team or standalone, depending on the task. The role reports to the Engineering Teams Manager Role Accountabilities Conduct planned maintenance of processing and packaging assets. Conduct predictive maintenance of food processing and packaging assets (condition-based monitoring). Respond to breakdowns. Conduct reactive maintenance or corrective actions to resolve deviation. Identify faults (electrical, mechanical, instrumentation, automation, and pneumatics) and action as required. Lead or support operational teams with machinery change overs and set ups. Manufacture and repair component parts for processing and packaging assets. Contribute to continuous improvement projects to optimise assets or processes. About you Engineering apprenticeship (C&G / EAL NVQ Level 3 / 4 or OAL FDEM Diploma) Current Edition of IET Wiring Regulations (C&G Level 3, achieve within 12 months). Application of Safety, Health and Environmental legislation and procedures Planning works and writing reports. Verify assets meet performance criteria after work. Reading and adhering to site SOPs. CMMS experience (achieve within 12 months). Electrical bias Experience in the following would be advantageous - Mechanical principles, F&D assets, welding, machining, turning, hydraulic, pneumatic & thermodynamics systems and / or, electrical principals, motors, motor control circuits, motion control, encoders, PLCs, sensors. What you'll receive As an equal opportunity employer, we're committed to providing a safe and rewarding environment for you to thrive in. This is why we work hard to deliver benefits, rewards and wellbeing offerings that are important to you. You'll enjoy: Life Assurance (1 x salary) 23 days holiday Staff Shop Stakeholder Pension Scheme MyBargains Discount Platform Personal Accident Insurance Free Independent Mortgage Advice Employee Assistance Programme A Range of voluntary benefits (holiday purchase scheme, additional life assurance, dental & hospital cash plans) Discounted tutoring for children Access to financial learning tools and affordable loans via your salary Private Medical Insurance (after 5 years service) Free Carparking Plus, a commitment to your wellbeing that includes emotional, physical and financial support services delivered by our fantastic team of wellbeing champions. Proud to be Bakkavor We're proud to be the market leader in the UK fresh prepared food industry. We're proud to supply meals, salads, desserts, pizza and bread to leading grocery retailers including Tesco, M&S, Sainsbury's and Waitrose. We're driven by the hard work and passion of our people and are delighted to offer a wide range of careers across our business - come and join our dedicated Bakkavor team! Find out more and apply.
