Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Apr 22, 2026
Full time
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
Apr 21, 2026
Full time
Please note this role is offered as an initial 6 month fixed term contract on a PAYE basis Lyst is a global fashion shopping platform founded in London in 2010 and catering to over 160M shoppers per year. We offer our customers the largest assortment of premium & luxury fashion products in one place, curating pieces from 27,000 of the world's leading brands and stores. In 2025, Lyst joined Zozo, operators of Zozotown, the leading fashion e commerce platform in Japan. This partnership marks a bold new era for Lyst, as we accelerate our vision and work together to transform the future of fashion shopping through AI and technology. At Lyst, we obsess over the customer, providing a search & discovery experience which offers inspiration, fulfilment, and personalisation. We believe that fashion is amazing but shopping for fashion often isn't, and use our technology, data and creativity to bring more joy, greater choice and fewer fails. Our mission is to help fashion shoppers make better choices and help fashion partners find better audiences as the category leading destination for every fashion shopper. The Role We're looking for a technically strong Product Manager to lead our Affiliate Operations product team, and be the primary Lyst owner for our partnership with ZOZO's Data Science team in New Zealand. Lyst became part of the ZOZO group last year, and this role will work closely with ZOZO's R&D teams to turn research into productionised product data improvements. You will be accountable for the quality, reliability and discoverability of the world's largest product catalogue, powering discovery and commerce across Lyst. Crucially, you will also support Lyst's commercial initiatives from a TPM perspective - shaping the product and data work to accelerate product merging and enrichment. You'll be the lead Lyst contact for ZOZO's Data Science department and will run regular meetings, define joint milestones and translate data science research into Lyst production work. Together you'll accelerate product merging and enrichment while ensuring tooling is production ready. This role is highly cross functional and strategic. If you enjoy being technical, shipping data products, and managing a data science partnership to deliver measurable business outcomes, this is for you. What you'll own Affiliate Operations strategy & roadmap - Prioritise initiatives that raise data quality, completeness and coherence, and ensure delivery of outcomes that improve discovery and checkout metrics. Data foundations & pipelines - Working with engineering, to define product data models and taxonomies and own product data quality KPIs and remediation workflows. Ensure enrichment and merging flows are implemented and monitored. Partnership with ZOZO Data Science (NZ) - Be the primary Lyst lead managing the relationship with ZOZO's data science team: align roadmaps, define experiments, translate research into production requirements, agree on data contracts/security/IP terms, and run regular syncs and reviews. ZOZO collaboration is a core part of our product enrichment work. Operational ownership - Set and measure SLAs for data freshness, accuracy and output quality. Ensure handoffs and runbooks for the Affiliate Operations team are clear. Commercial & stakeholder management - Liaise with Partnerships and Commercial teams to align product data priorities to business objectives (e.g. ROAS bidding algorithms). People & process - Lead the Affiliate Operations product practice: improve team rituals, prioritisation and delivery cadence. Day to day responsibilities Create and maintain an outcome driven roadmap for Affiliate Operations and our commercial roadmap. Translate ZOZO data science outputs (enrichments/merges/flags) into production requirements, APIs and acceptance criteria. Run regular cross organisation planning with ZOZO and Affiliate Operations, including quarterly planning and technical workshops; manage time zone differences and ensure clear asynchronous handovers. Define and track OKRs tied to listings quality and commercial outcomes. Build the backlog and intake process for operational work, tooling requests and BAU. Communicate progress and trade offs clearly to senior stakeholders. Qualifications 3-6+ years product management experience, with a technical/data focus (hands on TPM or Senior TPM). Strong technical literacy: comfortable with APIs, data schemas, ETL/ingestion pipelines and product data modelling. Experience working with data scientists and engineering teams to productise models and features for production. Proven stakeholder management and delivery track record - you can run complex cross functional projects and manage external technical partners. Excellent written and verbal communication; experience coordinating across time zones and cultures. Agile delivery experience and a bias toward measurable outcomes. Nice to have Experience in ecommerce marketplaces or affiliate commerce. Exposure to machine learning/MLops or productionising ML models. Prior experience working with an external data science partner or international R&D partner. Familiarity with taxonomy design, entity resolution and image/data enrichment workstreams. Experience working with affiliate operations or merchant operations teams. Our Ways of Working Office Days: We all come into the office on Tuesdays and Thursdays, with the option to work remotely or come into the office on the other days. Time Off: In addition to the 8 statutory bank holidays, you will receive 29 holidays per year. Lyst's holiday year runs from 1 April to 31 March. Remote Working: Work from anywhere for up to 4 weeks per year. Competitive Family Leave Package: This includes Enhanced Family Leave for those eligible, paid Time off for Dependents and Support for Fertility Treatment & Loss. Clothing Benefit: We provide you with a clothing allowance to use on Lyst every year. This starts at £250 when you join and increases up to £1,000 with your length of service. Private Healthcare: Our healthcare provider is Vitality. Your health is important to us which is why we offer all employees a comprehensive healthcare scheme from the day you start. Training Allowance: All employees are entitled to an annual training allowance of £1,000 for conferences, industry events, training courses and to purchase resources. Pension Scheme: Our pension provider is The People's Pension. We offer a minimum employee contribution of 5% and 3% employer contribution. Eye Tests and Vouchers: Employees can make a saving on their eye test and glasses through our chosen provider. You'll receive a free eye test every year and a discount towards glasses. Cycle-to-Work Scheme: Lyst will purchase a bicycle from your chosen retailer, and you will receive a voucher to pick up your bicycle from them. Transport Season Ticket Loan: Employees can apply for an interest free season ticket loan to support your travel to work. Social Events: Frequent company wide social events including Christmas & summer parties, sports days, themed drinks, quizzes, cook alongs, as well as smaller team socials. We also have plenty of interest based groups such as football, running club, book club, culinary and more.
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.
Quality Inspector (12-month FTC) Kidderminster (Onsite role) £25,000 - £35,000 + excellent Benefits. This is a hands-on, detail-focused role with real impact on manufacturing performance and product integrity . Working closely with Supply Chain, Quality, and Operations , you'll be responsible for ensuring all incoming materials and components meet strict technical and quality standards. What You'll Be Doing - Quality Inspector (12-month FTC) Inspect and verify incoming components against engineering drawings and specifications (GD&T) Ensure full compliance, traceability, and documentation accuracy Identify and manage non-conforming materials , raising and progressing NCRs Use manual inspection equipment to validate dimensions, finishes, and quality standards Support supplier quality performance and continuous improvement activities Maintain inspection throughput to meet production demands What We're Looking For - Quality Inspector (12-month FTC) Proven experience in a Quality Inspection role within engineering/manufacturing Strong ability to read and interpret technical drawings & tolerances (GD&T) Hands-on experience with manual measurement tools Familiarity with root cause analysis tools (8D, 5 Whys, etc.) Experience working within structured quality systems (eg ISO/AS9100) Comfortable working cross-functionally with operations, procurement, and quality teams Why Apply? Work on high-integrity, precision-engineered products Join a business with global reach and complex supply chains Be part of a team where quality truly matters Opportunity to develop within a structured, engineering-led environment If you're a detail-driven quality professional looking to make an impact in a high-performance manufacturing environment , this is a great opportunity to step up.
Apr 17, 2026
Quality Inspector (12-month FTC) Kidderminster (Onsite role) £25,000 - £35,000 + excellent Benefits. This is a hands-on, detail-focused role with real impact on manufacturing performance and product integrity . Working closely with Supply Chain, Quality, and Operations , you'll be responsible for ensuring all incoming materials and components meet strict technical and quality standards. What You'll Be Doing - Quality Inspector (12-month FTC) Inspect and verify incoming components against engineering drawings and specifications (GD&T) Ensure full compliance, traceability, and documentation accuracy Identify and manage non-conforming materials , raising and progressing NCRs Use manual inspection equipment to validate dimensions, finishes, and quality standards Support supplier quality performance and continuous improvement activities Maintain inspection throughput to meet production demands What We're Looking For - Quality Inspector (12-month FTC) Proven experience in a Quality Inspection role within engineering/manufacturing Strong ability to read and interpret technical drawings & tolerances (GD&T) Hands-on experience with manual measurement tools Familiarity with root cause analysis tools (8D, 5 Whys, etc.) Experience working within structured quality systems (eg ISO/AS9100) Comfortable working cross-functionally with operations, procurement, and quality teams Why Apply? Work on high-integrity, precision-engineered products Join a business with global reach and complex supply chains Be part of a team where quality truly matters Opportunity to develop within a structured, engineering-led environment If you're a detail-driven quality professional looking to make an impact in a high-performance manufacturing environment , this is a great opportunity to step up.
Data Engineer Fully Remote 50,000 - 65,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car / Allowance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Apr 16, 2026
Full time
Data Engineer Fully Remote 50,000 - 65,000 + Car Allowance - 5,200 + 5% Bonus 6 Month initial FTC with view to extend Brief Data Engineer needed for a large well known Facilities Management organisation. The role I have can be based fully remote from home with all equipment provided. My is looking to employ an experienced and well-rounded Data Engineer that takes pride in their work with proven 4 years experience working in a fast-paced environment, preferably within a dynamic data engineering team. The successful candidate must have proven skills at managing day-to-day BAU tasks to maintain existing data processes/ETLs, while simultaneously contributing to strategic roadmap projects and initiatives. Along with previous responsibility for end-to-end ownership of data pipelines and automation of data workflows. Finally have 5 years Strong programming experience at an advanced level in Python, PySpark, and SQL scripting. Benefits Salary: 50,000 - 65,000 per annum 25 day's holiday Company car / Allowance Variable annual bonus based 5-15% Pension Plan Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within Palantir Foundry, enabling the business to generate actionable insights and drive strategic decision-making. Lead workshops with business stakeholders to capture data requirements, translating these into flexible and scalable designs that utilise Palantir Foundry's advanced toolsets to deliver reliable, high-quality data solutions that align with strategic objectives. Demonstrate Palantir Foundry's full potential by showcasing its capabilities to a diverse set of business stakeholders, guiding them in leveraging the platform's full range of functionality to deliver transformative business outcomes. Ensure the availability, performance, and integrity of all data services within Palantir Foundry, continuously monitoring and optimising data processes to meet stringent service level agreements (SLAs) and business requirements. What experience you need to be the successful Data Engineer: Proficiency in Palantir Foundry pipeline development: Extensive experience in building, maintaining, and optimising data pipelines and transformations within Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability across various data flows. Experience in data modelling and ontology development: Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage, and auditing, ensuring compliance with enterprise-wide data governance policies and regulatory standards. Data pipeline automation and orchestration: Experience with Foundry's Pipeline Builder for designing, developing, and automating ETL processes that ensure the availability of clean, curated data for business analytics and decision-making. Code development, testing, and deployment in Foundry: Demonstrated ability to design, test, and deploy code using Foundry's integration with CI/CD pipelines, ensuring data processes are efficiently managed from development through to production. Effective collaboration and communication skills: Ability to work with cross-functional teams and effectively communicate technical concepts related to data workflows in Palantir Foundry to both technical and non-technical stakeholders, ensuring a clear understanding of how data solutions drive business outcomes. Deep familiarity with Palantir Foundry's tools and frameworks: Direct experience working within Palantir Foundry's platform, leveraging its comprehensive suite of tools, including Code Workbooks, Pipelines, Object Explorer, and Foundry's data governance and ontology capabilities. Experience in multi-cloud and data migration environments: Experience working with data environments in Microsoft Asure, AWS, and legacy systems, and a proven ability to consolidate and migrate data processes and workloads into Palantir Foundry as part of a broader data strategy. Data-driven business value: Demonstrated ability to deliver tangible business value through the development and deployment of data engineering solutions, leveraging Palantir Foundry's capabilities to support key analytics, reporting, and decision-making initiatives. This really is a fantastic opportunity for a Data Engineer to progress their career. If you are interested please apply as soon as possible as this position will be filled quickly so don't miss out! Services advertised by Gold Group are those of an Agency and/or an Employment Business. We will contact you within the next 14 days if you are selected for interview. For a copy of our privacy policy please visit our website.
Application Packaging & Deployment Engineer Salary: £50,000-£60,000 Contract: 12-month FTC (extensions likely) Location: Fully remote (occasional UK travel) Clearance: UK Security Clearance (SC) - Required Why This Role Stands Out Work on enterprise-scale application packaging and deployment in a high-profile IT environment. Hands-on with cutting-edge tools including SCCM, Intune, AdminStudio, and PowerShell. Opportunity to modernize legacy applications and deliver reliable, automated software deployments. Remote-first role with occasional team meet-ups. 12-month FTC with extensions possible - excellent contract stability. Role Overview We're looking for two Application Packaging & Deployment Engineers to package, test, and deploy applications across the enterprise. You'll work closely with deployment teams, service operations, and governance teams to ensure consistent, secure, and compliant software delivery. Key Responsibilities Package applications using AdminStudio, InstallShield, and PowerShell. Maintain consistent naming conventions and package standards. Migrate legacy applications to MSIX or Intune-based deployment. Deploy and troubleshoot applications via SCCM and Intune. Maintain deployment infrastructure including collections, boundaries, and distribution points. Work across pre-production and production environments to ensure smooth rollout. Document processes and share knowledge with internal teams. Participate in change management and governance activities. Skills & Experience Proven experience in application packaging (MSI, App-V, Intune). Strong command of SCCM (Current Branch). Scripting skills: PowerShell, VBScript, Batch. Knowledge of Windows 10/11, Active Directory, and Group Policy. Experience with Intune, Autopilot, and Conditional Access. Ability to work in a collaborative, multi-team enterprise environment. Microsoft certifications (MCSA, MD-102) and ITIL Foundation are desirable. If your hold this sounds like you, and you hold SC Clearance than apply today and one of our team will be in touch with you to discuss the opportunity in more detail.
Oct 07, 2025
Full time
Application Packaging & Deployment Engineer Salary: £50,000-£60,000 Contract: 12-month FTC (extensions likely) Location: Fully remote (occasional UK travel) Clearance: UK Security Clearance (SC) - Required Why This Role Stands Out Work on enterprise-scale application packaging and deployment in a high-profile IT environment. Hands-on with cutting-edge tools including SCCM, Intune, AdminStudio, and PowerShell. Opportunity to modernize legacy applications and deliver reliable, automated software deployments. Remote-first role with occasional team meet-ups. 12-month FTC with extensions possible - excellent contract stability. Role Overview We're looking for two Application Packaging & Deployment Engineers to package, test, and deploy applications across the enterprise. You'll work closely with deployment teams, service operations, and governance teams to ensure consistent, secure, and compliant software delivery. Key Responsibilities Package applications using AdminStudio, InstallShield, and PowerShell. Maintain consistent naming conventions and package standards. Migrate legacy applications to MSIX or Intune-based deployment. Deploy and troubleshoot applications via SCCM and Intune. Maintain deployment infrastructure including collections, boundaries, and distribution points. Work across pre-production and production environments to ensure smooth rollout. Document processes and share knowledge with internal teams. Participate in change management and governance activities. Skills & Experience Proven experience in application packaging (MSI, App-V, Intune). Strong command of SCCM (Current Branch). Scripting skills: PowerShell, VBScript, Batch. Knowledge of Windows 10/11, Active Directory, and Group Policy. Experience with Intune, Autopilot, and Conditional Access. Ability to work in a collaborative, multi-team enterprise environment. Microsoft certifications (MCSA, MD-102) and ITIL Foundation are desirable. If your hold this sounds like you, and you hold SC Clearance than apply today and one of our team will be in touch with you to discuss the opportunity in more detail.
Job Title: Maintenance Supervisor (24-month FTC) Location: Washington, Tyne & Wear. Salary: £43,649 What you'll be doing: Managing teams to carry out maintenance activities, checking standards of maintenance and reactive work while coaching team members as required to deliver high levels of craftsmanship and job reporting Coordinating the department workload via SAP to ensure KPIs are achieved Managing failure data on equipment and generating breakdown reports Procuring spare parts and materials that are required for work orders Attending daily production meetings Writing and reviewing maintenance instructions and risk assessments Your skills and experiences: Essential: Time served Electrical or mechanical apprenticeship preferably with HNC/HND qualification Safety Qualifications (e.g. IOSH, working at height) Experience working with SAP Desirable: Large manufacturing environment experience Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Maintenance team: Step into the role of Maintenance Supervisor and lead a team of multi-skilled engineers maintaining our advanced Washington site. Each day brings variety as you manage a diverse product range and support the delivery of cutting-edge munitions for the Armed Forces . With new business wins, ongoing site expansion, and real prospects for career development, this is an exciting time to join a growing team. Make your next move one that combines leadership , purpose, and the opportunity to truly make an impact. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 15th October 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Oct 04, 2025
Full time
Job Title: Maintenance Supervisor (24-month FTC) Location: Washington, Tyne & Wear. Salary: £43,649 What you'll be doing: Managing teams to carry out maintenance activities, checking standards of maintenance and reactive work while coaching team members as required to deliver high levels of craftsmanship and job reporting Coordinating the department workload via SAP to ensure KPIs are achieved Managing failure data on equipment and generating breakdown reports Procuring spare parts and materials that are required for work orders Attending daily production meetings Writing and reviewing maintenance instructions and risk assessments Your skills and experiences: Essential: Time served Electrical or mechanical apprenticeship preferably with HNC/HND qualification Safety Qualifications (e.g. IOSH, working at height) Experience working with SAP Desirable: Large manufacturing environment experience Benefits: As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Maintenance team: Step into the role of Maintenance Supervisor and lead a team of multi-skilled engineers maintaining our advanced Washington site. Each day brings variety as you manage a diverse product range and support the delivery of cutting-edge munitions for the Armed Forces . With new business wins, ongoing site expansion, and real prospects for career development, this is an exciting time to join a growing team. Make your next move one that combines leadership , purpose, and the opportunity to truly make an impact. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 15th October 2025 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
British Sugar is a home-grown success story and one of the most efficient and competitive beet processers in the world. Around 3,500 farmers based in East Anglia and the East Midlands supply our four advanced manufacturing sites with eight million tonnes of sugar beet every year. We, in turn, make this in to over 1 million tonnes of sugar, serving customers across the UK, Ireland and increasingly growing commercially in the EU and world sugar markets. Salary and Contract Information Salary: 36,041.00 per annum Contract: 12 Months Fixed Term Contract Job Purpose To be an active member of the production team, ensuring that you comply with all the site procedures. Maintaining the safe operation of site packing lines and warehouse to effectively and efficiently manufacture, store and despatch sugar products which meet all quality standards and customer expectations. Core Accountabilities All Roles: To comply with site and business operational, health, safety & environmental and food safety procedures, work instructions and safe systems of work. To carry out basic fault finding and problem solving, working with shift engineers to resolve. Ensure the production and despatch plans are met, to service customer requirements. Escalate issues in a timely manner to Supervisor/Line Manager. Demonstrate to auditors (internal & external) as well as customers the food safe manufacture of finished products. Proactive approach in identification, communication and achievement of continuous improvement. Maintaining housekeeping standards ensuring no food safety risk. Skills, Knowledge & Competencies A current Forklift Licence is required Experience working within a FMCG environment, preferably food. Experience of operating food packaging machinery - bag in box / form & fill / bag & stitch. Awareness of HACCP and GMP practices. Good communication skills including the accurate, legible recording of information.
Oct 03, 2025
Seasonal
British Sugar is a home-grown success story and one of the most efficient and competitive beet processers in the world. Around 3,500 farmers based in East Anglia and the East Midlands supply our four advanced manufacturing sites with eight million tonnes of sugar beet every year. We, in turn, make this in to over 1 million tonnes of sugar, serving customers across the UK, Ireland and increasingly growing commercially in the EU and world sugar markets. Salary and Contract Information Salary: 36,041.00 per annum Contract: 12 Months Fixed Term Contract Job Purpose To be an active member of the production team, ensuring that you comply with all the site procedures. Maintaining the safe operation of site packing lines and warehouse to effectively and efficiently manufacture, store and despatch sugar products which meet all quality standards and customer expectations. Core Accountabilities All Roles: To comply with site and business operational, health, safety & environmental and food safety procedures, work instructions and safe systems of work. To carry out basic fault finding and problem solving, working with shift engineers to resolve. Ensure the production and despatch plans are met, to service customer requirements. Escalate issues in a timely manner to Supervisor/Line Manager. Demonstrate to auditors (internal & external) as well as customers the food safe manufacture of finished products. Proactive approach in identification, communication and achievement of continuous improvement. Maintaining housekeeping standards ensuring no food safety risk. Skills, Knowledge & Competencies A current Forklift Licence is required Experience working within a FMCG environment, preferably food. Experience of operating food packaging machinery - bag in box / form & fill / bag & stitch. Awareness of HACCP and GMP practices. Good communication skills including the accurate, legible recording of information.
Project Manager - Fixed Term Contract (3-6 Months) About the Business Our client is a well-established and growing manufacturer within the heavy engineering sector. With strong foundations and a clear growth trajectory, they are investing several million in site upgrades, new machinery, and increased production capacity. This is an exciting opportunity for an experienced Project Manager to take full ownership of a high-value site investment programme, ensuring successful delivery on time, to budget, and to specification. Project Manager FTC overview: The Project Manager will lead and coordinate the full scope of the site investment projects, including: Overseeing installation and commissioning of new plant and machinery. Managing site upgrades and capacity expansion projects. Working closely with engineering, operations, and senior leadership teams to deliver against project objectives. Managing contractors, suppliers, and stakeholders on site. Monitoring budgets, timelines, risk, and compliance. Reporting regularly on project progress to senior management. Project Manager Key Responsibilities Lead and drive the overall investment programme from planning through to delivery. Develop and manage detailed project plans, ensuring milestones are met. Coordinate internal teams and external contractors effectively. Drive HSE compliance and risk management throughout project delivery. Manage budgets, track spend, and provide cost forecasts. Ensure machinery upgrades and capacity increases are delivered with minimal disruption to ongoing operations. Project Manager Skillset Overview: Proven track record as a Senior Project Manager within heavy engineering, construction materials, or process-led manufacturing (concrete, cement, aggregates, or similar). Strong background in machinery installation, site upgrades, and capex projects. Excellent organisational and leadership skills - able to manage multiple stakeholders and contractors. Comfortable delivering projects in the £multi-million range. Hands-on, pragmatic, and able to hit the ground running. Available at short notice and open to a 3-6 month fixed term contract.
Oct 01, 2025
Full time
Project Manager - Fixed Term Contract (3-6 Months) About the Business Our client is a well-established and growing manufacturer within the heavy engineering sector. With strong foundations and a clear growth trajectory, they are investing several million in site upgrades, new machinery, and increased production capacity. This is an exciting opportunity for an experienced Project Manager to take full ownership of a high-value site investment programme, ensuring successful delivery on time, to budget, and to specification. Project Manager FTC overview: The Project Manager will lead and coordinate the full scope of the site investment projects, including: Overseeing installation and commissioning of new plant and machinery. Managing site upgrades and capacity expansion projects. Working closely with engineering, operations, and senior leadership teams to deliver against project objectives. Managing contractors, suppliers, and stakeholders on site. Monitoring budgets, timelines, risk, and compliance. Reporting regularly on project progress to senior management. Project Manager Key Responsibilities Lead and drive the overall investment programme from planning through to delivery. Develop and manage detailed project plans, ensuring milestones are met. Coordinate internal teams and external contractors effectively. Drive HSE compliance and risk management throughout project delivery. Manage budgets, track spend, and provide cost forecasts. Ensure machinery upgrades and capacity increases are delivered with minimal disruption to ongoing operations. Project Manager Skillset Overview: Proven track record as a Senior Project Manager within heavy engineering, construction materials, or process-led manufacturing (concrete, cement, aggregates, or similar). Strong background in machinery installation, site upgrades, and capex projects. Excellent organisational and leadership skills - able to manage multiple stakeholders and contractors. Comfortable delivering projects in the £multi-million range. Hands-on, pragmatic, and able to hit the ground running. Available at short notice and open to a 3-6 month fixed term contract.
Title: Material Technologist (Compounds) Salary: Dependent on experience Working hours: Monday - Thursday 8:30am - 5:00pm and Friday 8:30am - 2:00pm (37.5 hours per week) Location: Leicester, Leicestershire VH Talent is delighted to partner with our renowned client, a leading global engineering company, to appoint a skilled Material Technologist (Compounds). The Material Technologist will support the development, testing, and evaluation of raw materials, chemical solutions, and compound formulations used in manufacturing. Whilst also assisting in analysing material properties to ensure performance, quality, and suitability for production applications. If you re ready for the challenge, we d love to hear from you! Please note this is a site based role not hybrid The Material Technologist Role: Assist in developing, testing, and evaluating new compounding materials and mixing processes to ensure they meet required specifications Identify, investigate and assist in addressing production and process-related failures Evaluate chemical risks in accordance with COSHH regulations and provide corresponding hazard warning cards Update, monitor and maintain process and solution specifications Assist with failure analysis and root cause analysis/investigation Regular communication with internal departments, other sites, customers, suppliers and other external personnel Support with carrying out testing methods Conduct laboratory experiments and physical testing of materials Generate and maintain Bill of Materials for all production compound recipes Accurate report writing, documenting and filing Maintain a commitment to continuous improvement Compliance with health, safety, and housekeeping standards Work to department targets and wider business objectives Support with other duties and activities within the department as required You ll Need: Analytical approach and excellent problem-solving skills Experience of interpreting test results and identify trends or anomalies Basic understanding of compound formulation principles and curing systems Experience of reporting writing and reading specifications Has attention to detail and methodical approach Some knowledge of rubber polymers and their compounding procedures Experience in assessment of risks and hazardous materials Experience in conducting physical and chemical testing of rubber compounds (e.g., tensile, hardness, rheometry) would be highly advantageous Proficient in Microsoft packages and various IT systems Engineering or Scientific (Chemistry or Polymer) qualification(s) would be advantageous What s in it for you: 25 Days annual leave + Bank Holidays Early finish Fridays Onsite subsidised canteen Health and wellbeing activities Employee Assistance Program Company pension VH Talent, your Permanent and FTC Recruitment Partner!
Sep 24, 2025
Full time
Title: Material Technologist (Compounds) Salary: Dependent on experience Working hours: Monday - Thursday 8:30am - 5:00pm and Friday 8:30am - 2:00pm (37.5 hours per week) Location: Leicester, Leicestershire VH Talent is delighted to partner with our renowned client, a leading global engineering company, to appoint a skilled Material Technologist (Compounds). The Material Technologist will support the development, testing, and evaluation of raw materials, chemical solutions, and compound formulations used in manufacturing. Whilst also assisting in analysing material properties to ensure performance, quality, and suitability for production applications. If you re ready for the challenge, we d love to hear from you! Please note this is a site based role not hybrid The Material Technologist Role: Assist in developing, testing, and evaluating new compounding materials and mixing processes to ensure they meet required specifications Identify, investigate and assist in addressing production and process-related failures Evaluate chemical risks in accordance with COSHH regulations and provide corresponding hazard warning cards Update, monitor and maintain process and solution specifications Assist with failure analysis and root cause analysis/investigation Regular communication with internal departments, other sites, customers, suppliers and other external personnel Support with carrying out testing methods Conduct laboratory experiments and physical testing of materials Generate and maintain Bill of Materials for all production compound recipes Accurate report writing, documenting and filing Maintain a commitment to continuous improvement Compliance with health, safety, and housekeeping standards Work to department targets and wider business objectives Support with other duties and activities within the department as required You ll Need: Analytical approach and excellent problem-solving skills Experience of interpreting test results and identify trends or anomalies Basic understanding of compound formulation principles and curing systems Experience of reporting writing and reading specifications Has attention to detail and methodical approach Some knowledge of rubber polymers and their compounding procedures Experience in assessment of risks and hazardous materials Experience in conducting physical and chemical testing of rubber compounds (e.g., tensile, hardness, rheometry) would be highly advantageous Proficient in Microsoft packages and various IT systems Engineering or Scientific (Chemistry or Polymer) qualification(s) would be advantageous What s in it for you: 25 Days annual leave + Bank Holidays Early finish Fridays Onsite subsidised canteen Health and wellbeing activities Employee Assistance Program Company pension VH Talent, your Permanent and FTC Recruitment Partner!
