Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Jan 28, 2026
Full time
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Jan 28, 2026
Full time
Description Summary: Working as part of a team to establish a new way of Digital Trading within the Global Insurance Industry, you will work collaboratively with the Head of Technology and your peers to support both the set up and subsequent rapid growth journey of a new part of WTW, winning new customers and expanding into new markets internationally. The Role: Neuron is seeking a highly capable Principal Engineer to act as a senior technical leader responsible for two core pillars of impact: They will spend about 70% of their time evaluating, elevating, and maintaining engineering resilience continuously assessing our codebase, developer tooling, testing practices, standards, and operational health against Neuron's engineering vision. They own the technical bar for engineering excellence, with full authority to research, propose, and drive solutions to uphold it, including personally tackling the most complex technical work (up to 15% of their capacity). They coach and enable platform and product teams to deliver with clarity and precision, primarily by automating repetitive tasks and creating documentation that defines how teams operate. The final 30% is spent acting as a strategic technical partner to the Digital Product team, bridging the gap between product vision and technical reality. This involves illuminating what is feasible, guiding product teams on reusable service/component opportunities, and ensuring concepts are mature and well articulated to support efficient technical design and delivery. This role demands a hands on, self starting and thoughtful leader who blends deep technical expertise with strong communication and collaboration skills, driving robust, scalable, and maintainable solutions that meet both business and technical needs. Key responsibilities of this role include: Engineering Resilience & Delivery Enablement (70%) Assess the current state of the codebase, developer tooling, testing coverage, engineering standards, and operations to identify and prioritise improvement opportunities with a view to creating a resilient, consistently scalable platform. Define and communicate expectations for engineering resilience, maintainability, and operational excellence. Deliver personally the most technically challenging % of critical improvements, including complex refactoring and architecture enhancements. Collaborate with the Technical Product Owner to clearly define and prepare the remaining backlog of engineering improvements for execution by platform and product teams. Establish, promote, and enforce engineering standards around code quality, testing, and tooling. Facilitate root cause analysis and lead systemic remediation of production incidents. Advocate for continuous reduction of technical debt and foster a culture of craftsmanship and operational rigor. Product Technical Partnership & Reusability (30%) Act as the primary technical liaison to Digital Product, providing clear, honest guidance on what is feasible and the technical implications of product requests. Partner with product teams early in the idea and requirements phase to ensure concepts are sufficiently defined and technically viable. Champion the design and build of reusable backend services and components that can be leveraged across multiple business areas. Collaborate with product leadership to prioritise work that maximises reuse and technical efficiency. Help bridge the gap between product vision and engineering execution, ensuring smoother delivery and alignment on scope and timelines. Qualifications The Requirements: Critical: Extensive years' experience in backend software engineering with strong expertise in MuleSoft, APIs, distributed systems, and scalable architectures. Proven ability to assess technical landscapes, identify gaps, and drive engineering improvement initiatives. Strong track record of personally delivering complex technical work and enabling teams to deliver effectively. Excellent communication and collaboration skills, able to translate technical realities into clear guidance for product teams. Experience working closely with product managers or product owners to shape requirements and technical approaches. Skilled mentor and influencer capable of driving adoption of engineering standards. Deep understanding of developer tooling, CI/CD, automated testing, and operational monitoring. Ability to act as an escalation point for complex technical and architectural challenges. Preferred Familiarity with cloud platforms (min. Azure & AWS) and container orchestration (Kubernetes). Knowledge of reusable service/component design patterns and API-first development. Experience in domain-driven design and event-driven architectures. Strong background operating and running Agile software development and continuous delivery processes. Previous experience in technical partnership roles or bridging product and engineering. Role-Specific Tools & Technologies Core Tools: MuleSoft, REST APIs, MongoDB. Cloud & Infrastructure: Azure, AWS, Terraform, Kubernetes. Success In This Role Looks Like Comprehensive assessment of codebase, tooling, testing, and operational health completed, vision of improvements and a strategic implementation plan communicated. A prioritised, well defined backlog of engineering improvements prepared and actively delivered by platform and product teams. Delivery of the hardest 5-15% of critical technical improvements with measurable impact on resilience and maintainability. Established and authored engineering standards, widely adopted across teams. Defined and ongoing delivery of reusable backend services/components aligned with business priorities. Clear, trusted technical partnership with Digital Product; product concepts consistently mature and delivery ready. Mentor and elevate senior developers to have increased technical product knowledge. Please note that this is a hybrid role, requiring 2 days per week in the office, and based in the London office. Benefits - GB Enjoy a benefits package designed to help you thrive, both professionally and personally. You'll receive 25 days of annual leave plus an extra WTW day to relax and recharge. Our comprehensive health and wellbeing offering includes private healthcare, life insurance, group income protection, and regular health assessments, all giving you peace of mind. Secure your future with our defined contribution pension scheme, featuring matched contributions up to 10% from the company. We support your growth and balance with hybrid working options, access to an employee assistance programme, and a fully paid volunteer day to make a difference in your community. On top of these, you can opt into a variety of additional perks including an electric vehicle car scheme, share scheme, cycle to work programme, dental and optical cover, critical illness protection, and much more. Start making the most of your career and wellbeing with a range of benefits tailored for you. At WTW, we believe difference makes us stronger. We want our workforce to reflect the different and varied markets we operate in and to build a culture of inclusivity that makes colleagues feel welcome, valued, and empowered to bring their whole selves to work every day. We are an equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. We're committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Jan 28, 2026
Full time
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Job Overview: This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the Arm Systems Media IP team! The team is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products! You will specify and develop new hardware verification testbenches for future generation hardware IP. You will improve existing testbenches to increase performance, quality and efficiency. You will also identify areas for improvement in processes and methodologies, then implement those changes to advance our best practices for hardware verification. This is a new team with plenty of opportunities to shape its future, and your own growth and career progression. Responsibilities: Depending on prior experience, the responsibilities of the role can include: Verification ownership of unit level or multi unit hierarchy or alternatively verification lead of an overall IP (ISP, Display, Video). Architecting verification IP and full verification environments. Reviewing and assessing proposed design changes from a verification complexity point of view. Analysis of data from simulation runs using machine learning and data science techniques to drive efficient bug discovery and debug. Identify cross Media IP process or methodology improvement opportunities, implementing changes to advance hardware verification efficiency. Close collaboration with other Arm engineering teams leading to high quality IP that works well in a complete system. Mentor & support other members of the team. Required skills and experience: Experience in working with constrained random verification including ownership of a suitably complex verification environment and creating testbenches. Experience developing reusable and scalable code whilst having in depth knowledge of SV UVM. Strong scripting skills - being able to develop scripts to support new and existing flows. Solid software engineering skills including understanding of object oriented programming, data structures, and algorithms. Familiar with the tools and processes for developing testbenches and finishing all aspects of the verification process. Prior technical and/or team leadership skills required for more senior positions. 'Nice to Have' skills and Experience: Team leadership and mentoring experience Multiprocessing microarchitecture experience including knowledge of bus protocols (e.g. AMBA APB/AHB/AXI) Past experience in Formal Verification testbenches Experience in video codec, ISP, or display projects, including knowledge of advanced image processing algorithms, such as local tone mapping, noise reduction, motion estimation, transform coding, etc Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508) Experience with Continuous Integration flows In Return: You will get to utilise your engineering skills to build support for the technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider audience, while building your technical leadership and influencing skills. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Jan 28, 2026
Full time
Job Overview: This position is an excellent opportunity for an experienced and highly motivated verification engineer to join the Arm Systems Media IP team! The team is responsible for the development of Image Signal Processors (ISPs), Display Processors, and Video codecs for deploying within Arm Compute Subsystems for various end markets, including automotive, IoT, and client market segments. Our intellectual property encompasses RTL, reference drivers, tools, and libraries, enabling our customers to build upon our work to create innovative products! You will specify and develop new hardware verification testbenches for future generation hardware IP. You will improve existing testbenches to increase performance, quality and efficiency. You will also identify areas for improvement in processes and methodologies, then implement those changes to advance our best practices for hardware verification. This is a new team with plenty of opportunities to shape its future, and your own growth and career progression. Responsibilities: Depending on prior experience, the responsibilities of the role can include: Verification ownership of unit level or multi unit hierarchy or alternatively verification lead of an overall IP (ISP, Display, Video). Architecting verification IP and full verification environments. Reviewing and assessing proposed design changes from a verification complexity point of view. Analysis of data from simulation runs using machine learning and data science techniques to drive efficient bug discovery and debug. Identify cross Media IP process or methodology improvement opportunities, implementing changes to advance hardware verification efficiency. Close collaboration with other Arm engineering teams leading to high quality IP that works well in a complete system. Mentor & support other members of the team. Required skills and experience: Experience in working with constrained random verification including ownership of a suitably complex verification environment and creating testbenches. Experience developing reusable and scalable code whilst having in depth knowledge of SV UVM. Strong scripting skills - being able to develop scripts to support new and existing flows. Solid software engineering skills including understanding of object oriented programming, data structures, and algorithms. Familiar with the tools and processes for developing testbenches and finishing all aspects of the verification process. Prior technical and/or team leadership skills required for more senior positions. 'Nice to Have' skills and Experience: Team leadership and mentoring experience Multiprocessing microarchitecture experience including knowledge of bus protocols (e.g. AMBA APB/AHB/AXI) Past experience in Formal Verification testbenches Experience in video codec, ISP, or display projects, including knowledge of advanced image processing algorithms, such as local tone mapping, noise reduction, motion estimation, transform coding, etc Experience of Functional Safety product development for the Automotive market (applying standards such as ISO 26262 and/or IEC 61508) Experience with Continuous Integration flows In Return: You will get to utilise your engineering skills to build support for the technologies and influence millions of devices for years to come. You will be able to drive and bring your ideas to a wider audience, while building your technical leadership and influencing skills. Our 10x mindset guides how we engineer, collaborate, and grow. Understand what it means and how to reflect 10x in your work: Accommodations at Arm At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process. Hybrid Working at Arm Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. Equal Opportunities at Arm Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don't discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Jan 28, 2026
Full time
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Principal Electrical Design Engineer - Protection & Control Scotland Region Permanent - Full Time, hybrid Salary Competitive + Car Allowance + Flexible Benefits Summary: This role involves designing and overseeing the implementation of protection schemes, control systems, and related equipment to ensure the safe and reliable operation of power networks, substations, and Transmissions and Distribution electrical infrastructure. Position requires technical expertise and vast experience working in Transmission and Distribution sector for protection & control and Substation Automation system/SCADA design (from 11kV up to 400kV). Candidate should lead the design and specification of protection and control systems for electrical substations, powerplants, and transmission/distribution networks. Roles & Responsibilities: Candidate is responsible to develop protection settings, relay PSL files, coordination studies, including fault detection and isolation strategies. Candidates should have complete knowledge of all TSO/DNO standards & specifications with respect to P&C Design & Calculations, as well as overall Substation Design Works. He/She should ensure compliance with relevant national and international standards (e.g., IEC, BS, IEEE) in protection system design. Candidate should have good knowledge of substation primary design and substation equipment/switchgear specifications. He/She should ensure that the design meets safety standards and regulatory requirements, incorporating protection against electrical hazards, arc flash, and other safety concerns. Design, implement and maintain SCADA/communication systems for a variety of clients in sectors including utilities, oil and gas, manufacturing, industrial automation and various other communication networks. Configure and optimize network infrastructure & communication protocols such as IEC 61850; Distributed Network Protocol (DNP 3); Parallel Redundancy Protocol (PRP); Precision Time Protocol (PTP); Network Time Protocol (NTP); Simplified Network Time Protocol (NTP), Modbus, OPC, Profibus, etc for seamless integration with field devices, including RTUs, PLCs, IEDs, etc, also ensure stable connectivity between SCADA centres & remote sites, and configure secure VPNs & remote access protocols to allow for safe, off-site monitoring and control. Understand client requirements & produce network architecture philosophy diagram, IED telecommunication diagram, SCADA & Telecommunications Panel design, Network IP allocation, I/O Schedules, Cable & Core schedules, etc. Assist with the setup and commissioning of SCADA systems at client sites, troubleshoot field devices and network communication issues, perform preventive and corrective maintenance on SCADA infrastructure and associated hardware. Efficiently design/develop the SCADA/communication systems (e.g., Ignition, Siemens WinCC, GE iFIX, etc) to ensure real-time data acquisition and control for critical infrastructure. Provide remote support for troubleshooting SCADA system and network issues, ensuring minimal downtime and swift resolution of critical incidents. Conduct system upgrades, testing, and validation for new features, components, and patches. Implement cybersecurity measures to safeguard SCADA systems against emerging threats. Collaborate with cross-functional teams to ensure smooth integration and deployment of SCADA systems. Candidate should have experience in tendering, pricing jobs, proposal creation. Candidate should be actively participating in work winning process. Candidate should be capable of technically assessing engineering problems and critically evaluating a range of technical solutions. Unwavering confidence in technically assessing engineering problems and critically evaluating a range of technical solutions will be instrumental in pursuit of engineering excellence. Exemplary communication skills to demonstrate diligence, prioritize tasks effectively, and ensure a thorough understanding of relevant legislation, including CDM and ESQCR. This knowledge will be pivotal in managing Transmission and Distribution network. Collaborate closely with other designers, construction professionals, and engineering teams. Liaise effectively with the Power Systems, Primary and Civil design departments to ensure that all objectives are met and that the best possible design is submitted. Review and provide constructive feedback on the reports and drawings done by Junior & Senior Engineers. Provide technical leadership and mentoring to junior engineers in the design, analysis, and commissioning of protection systems. What we're looking for : Experience: Extensive experience in electrical protection and control system design, Substation Automation and SCADA system typically 12-15 years, with a proven track record of delivering complex projects within the power sector. Technical and Professional knowledge and experience associated with the role. Candidate should have vast experience in crafting Single Line Diagrams, AC & DC Schematic Drawings, Panel General Arrangements, Panel Wiring Diagrams, Switchgear Termination/interconnection drawings, Block Cable Diagrams/Schedules, and performing cable specification/sizing calculations, battery sizing calculations, CT/VT sizing, multicore sizing, Relays CORTEC/specifications. Candidate should have experience in testing & commissioning of P&C, SCADA/Communication/SAS panels. Should be able to Identify potential risks and failures within protection and SCADA systems and propose mitigation strategies. Candidate should have good knowledge & experience working with AutoCAD. Qualifications: Education: Bachelor's degree in electrical engineering (typically 2:1 or above) in Electrical Engineering, Power Systems, or a related field. A master's degree may be preferred for senior roles.Chartered Status (Preferred): Chartered Engineer (CEng) status with a professional body such as the Institution of Engineering and Technology (IET) or the Institution of Electrical Engineers (IEE) is highly desirable.Certifications (Optional): Professional certifications such as NEBOSH for health and safety, or specific training in protection and control system design, may be beneficial.Candidate should have experience working in Substation Automation Syste
Jan 28, 2026
Full time
Principal Electrical Design Engineer - Protection & Control Scotland Region Permanent - Full Time, hybrid Salary Competitive + Car Allowance + Flexible Benefits Summary: This role involves designing and overseeing the implementation of protection schemes, control systems, and related equipment to ensure the safe and reliable operation of power networks, substations, and Transmissions and Distribution electrical infrastructure. Position requires technical expertise and vast experience working in Transmission and Distribution sector for protection & control and Substation Automation system/SCADA design (from 11kV up to 400kV). Candidate should lead the design and specification of protection and control systems for electrical substations, powerplants, and transmission/distribution networks. Roles & Responsibilities: Candidate is responsible to develop protection settings, relay PSL files, coordination studies, including fault detection and isolation strategies. Candidates should have complete knowledge of all TSO/DNO standards & specifications with respect to P&C Design & Calculations, as well as overall Substation Design Works. He/She should ensure compliance with relevant national and international standards (e.g., IEC, BS, IEEE) in protection system design. Candidate should have good knowledge of substation primary design and substation equipment/switchgear specifications. He/She should ensure that the design meets safety standards and regulatory requirements, incorporating protection against electrical hazards, arc flash, and other safety concerns. Design, implement and maintain SCADA/communication systems for a variety of clients in sectors including utilities, oil and gas, manufacturing, industrial automation and various other communication networks. Configure and optimize network infrastructure & communication protocols such as IEC 61850; Distributed Network Protocol (DNP 3); Parallel Redundancy Protocol (PRP); Precision Time Protocol (PTP); Network Time Protocol (NTP); Simplified Network Time Protocol (NTP), Modbus, OPC, Profibus, etc for seamless integration with field devices, including RTUs, PLCs, IEDs, etc, also ensure stable connectivity between SCADA centres & remote sites, and configure secure VPNs & remote access protocols to allow for safe, off-site monitoring and control. Understand client requirements & produce network architecture philosophy diagram, IED telecommunication diagram, SCADA & Telecommunications Panel design, Network IP allocation, I/O Schedules, Cable & Core schedules, etc. Assist with the setup and commissioning of SCADA systems at client sites, troubleshoot field devices and network communication issues, perform preventive and corrective maintenance on SCADA infrastructure and associated hardware. Efficiently design/develop the SCADA/communication systems (e.g., Ignition, Siemens WinCC, GE iFIX, etc) to ensure real-time data acquisition and control for critical infrastructure. Provide remote support for troubleshooting SCADA system and network issues, ensuring minimal downtime and swift resolution of critical incidents. Conduct system upgrades, testing, and validation for new features, components, and patches. Implement cybersecurity measures to safeguard SCADA systems against emerging threats. Collaborate with cross-functional teams to ensure smooth integration and deployment of SCADA systems. Candidate should have experience in tendering, pricing jobs, proposal creation. Candidate should be actively participating in work winning process. Candidate should be capable of technically assessing engineering problems and critically evaluating a range of technical solutions. Unwavering confidence in technically assessing engineering problems and critically evaluating a range of technical solutions will be instrumental in pursuit of engineering excellence. Exemplary communication skills to demonstrate diligence, prioritize tasks effectively, and ensure a thorough understanding of relevant legislation, including CDM and ESQCR. This knowledge will be pivotal in managing Transmission and Distribution network. Collaborate closely with other designers, construction professionals, and engineering teams. Liaise effectively with the Power Systems, Primary and Civil design departments to ensure that all objectives are met and that the best possible design is submitted. Review and provide constructive feedback on the reports and drawings done by Junior & Senior Engineers. Provide technical leadership and mentoring to junior engineers in the design, analysis, and commissioning of protection systems. What we're looking for : Experience: Extensive experience in electrical protection and control system design, Substation Automation and SCADA system typically 12-15 years, with a proven track record of delivering complex projects within the power sector. Technical and Professional knowledge and experience associated with the role. Candidate should have vast experience in crafting Single Line Diagrams, AC & DC Schematic Drawings, Panel General Arrangements, Panel Wiring Diagrams, Switchgear Termination/interconnection drawings, Block Cable Diagrams/Schedules, and performing cable specification/sizing calculations, battery sizing calculations, CT/VT sizing, multicore sizing, Relays CORTEC/specifications. Candidate should have experience in testing & commissioning of P&C, SCADA/Communication/SAS panels. Should be able to Identify potential risks and failures within protection and SCADA systems and propose mitigation strategies. Candidate should have good knowledge & experience working with AutoCAD. Qualifications: Education: Bachelor's degree in electrical engineering (typically 2:1 or above) in Electrical Engineering, Power Systems, or a related field. A master's degree may be preferred for senior roles.Chartered Status (Preferred): Chartered Engineer (CEng) status with a professional body such as the Institution of Engineering and Technology (IET) or the Institution of Electrical Engineers (IEE) is highly desirable.Certifications (Optional): Professional certifications such as NEBOSH for health and safety, or specific training in protection and control system design, may be beneficial.Candidate should have experience working in Substation Automation Syste
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Jan 28, 2026
Full time
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
Jan 28, 2026
Full time
Job Title: Senior Product Compliance Engineer Location: Barrow-in-Furness, Brough, Filton, Frimley, Portsmouth, Weymouth or Manchester - we offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: Negotiable, depending on experience What you'll be doing: Attending and reporting to Daily Stand-Up Meetings (DSUM) Design activities including but not limited to supporting rick reduction/ analysis and identification Applying a systems engineering approach to safety products including Working within a centralised modelling tool Working within a small safety team environment Supporting non-safety experienced member of the wider team to achieve desirable safety outcomes Supporting and preparing safety assessments as required to support system design and development Supporting the preparation of Design Safety Justification supporting inputs Providing Safety SME to product design and gate reviews Supporting the development and maintenance of a healthy product Safety Culture within the team and wider business Your skills and experiences: STEM degree (ideally with Product Safety experience within a regulated industry) Familiarity with UK Defence Standard and publications such as Defence Standard 00-56, Defence Standard 00-55, DSA-01, DSA-02 Familiarity with safety analysis techniques such as: (FHA) (FTA) (ETA) (FMEA) (STPA) An understanding of the principles and requirements of IEC 61508 and/or IEC 61511 for complex Software and Hardware Safety Instrumented Systems 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 Safety Environmental team: As the Senior Engineer - Product Safety the primary duties for this role will be heavily focussed on the safety during the product design process. You will undertake analysis and provide outputs to the Principal Engineers where they can provide assistance to develop designs further. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. 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: 3rd February 2026 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 28, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Jan 27, 2026
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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 are 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.
Job Title: Principal Manufacturing Engineer - Infrastructure Location: Barrow-in-Furness (On-site) Salary: Competitive What you'll be doing : Convert industrial capability concepts, infrastructure needs and technology plans into defined requirement strategies and business cases Manage delivery of allocated scope, including planning and scheduling work packages in line with annual and quarterly milestones for future facility development Define and develop facility and infrastructure requirements in collaboration with the Senior Requirements Manager, supporting implementation of a new Production Line Operating Model using RIBA LCM Contribute to the development of future manufacturing processes by creating process maps, analysing data, resolving technical queries and providing measurable improvements Support the evolution of submarine build methods while maintaining an understanding of existing production practices Build and maintain effective working relationships with facility owners, senior leadership, subject matter experts and key stakeholders across internal and external organisations Translate engineering design intent into manufacturing engineering outputs to support facility capability development, ensuring documentation accuracy and compliance Your skills and experiences: HNC/D or equivalent in Construction, Engineering or Project Management Knowledge of submarine operations/trade domains (Coatings, Build, Test & Commissioning), Engineering, or Infrastructure/Facility Management is advantageous Stakeholder management and submarine sector networking experience desirable Experience managing complex projects, programmes or portfolios; AutoCAD and SolidWorks skills beneficial Background in engineering or project oversight on major facilities, including configuration and systems management 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 Build & Test (SSNA Infrastructure) team: As a Principal Manufacturing Engineer, you will work with a team delivering complex , cross-discipline manufacturing projects, ensuring methods of manufacture, assembly, and repair meet safety, quality, cost, and delivery targets throughout the product lifecycle. You'll apply your expertise to ensure design intent is achieved in operations, manage resources to support project delivery, and balance stakeholder demands across Manufacturing Operations and Programme teams. This is a key leadership role focussed on driving capability, compliance, and operational excellence. We offer relocation support across all Submarine roles, subject to meeting eligibility criteria. 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: 29th January 2026 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.
Jan 27, 2026
Full time
Job Title: Principal Manufacturing Engineer - Infrastructure Location: Barrow-in-Furness (On-site) Salary: Competitive What you'll be doing : Convert industrial capability concepts, infrastructure needs and technology plans into defined requirement strategies and business cases Manage delivery of allocated scope, including planning and scheduling work packages in line with annual and quarterly milestones for future facility development Define and develop facility and infrastructure requirements in collaboration with the Senior Requirements Manager, supporting implementation of a new Production Line Operating Model using RIBA LCM Contribute to the development of future manufacturing processes by creating process maps, analysing data, resolving technical queries and providing measurable improvements Support the evolution of submarine build methods while maintaining an understanding of existing production practices Build and maintain effective working relationships with facility owners, senior leadership, subject matter experts and key stakeholders across internal and external organisations Translate engineering design intent into manufacturing engineering outputs to support facility capability development, ensuring documentation accuracy and compliance Your skills and experiences: HNC/D or equivalent in Construction, Engineering or Project Management Knowledge of submarine operations/trade domains (Coatings, Build, Test & Commissioning), Engineering, or Infrastructure/Facility Management is advantageous Stakeholder management and submarine sector networking experience desirable Experience managing complex projects, programmes or portfolios; AutoCAD and SolidWorks skills beneficial Background in engineering or project oversight on major facilities, including configuration and systems management 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 Build & Test (SSNA Infrastructure) team: As a Principal Manufacturing Engineer, you will work with a team delivering complex , cross-discipline manufacturing projects, ensuring methods of manufacture, assembly, and repair meet safety, quality, cost, and delivery targets throughout the product lifecycle. You'll apply your expertise to ensure design intent is achieved in operations, manage resources to support project delivery, and balance stakeholder demands across Manufacturing Operations and Programme teams. This is a key leadership role focussed on driving capability, compliance, and operational excellence. We offer relocation support across all Submarine roles, subject to meeting eligibility criteria. 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: 29th January 2026 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.
Job Title: Principal Manufacturing Engineer - Infrastructure Location: Barrow-in-Furness (On-site) Salary: Competitive What you'll be doing : Convert industrial capability concepts, infrastructure needs and technology plans into defined requirement strategies and business cases Manage delivery of allocated scope, including planning and scheduling work packages in line with annual and quarterly milestones for future facility development Define and develop facility and infrastructure requirements in collaboration with the Senior Requirements Manager, supporting implementation of a new Production Line Operating Model using RIBA LCM Contribute to the development of future manufacturing processes by creating process maps, analysing data, resolving technical queries and providing measurable improvements Support the evolution of submarine build methods while maintaining an understanding of existing production practices Build and maintain effective working relationships with facility owners, senior leadership, subject matter experts and key stakeholders across internal and external organisations Translate engineering design intent into manufacturing engineering outputs to support facility capability development, ensuring documentation accuracy and compliance Your skills and experiences: HNC/D or equivalent in Construction, Engineering or Project Management Knowledge of submarine operations/trade domains (Coatings, Build, Test & Commissioning), Engineering, or Infrastructure/Facility Management is advantageous Stakeholder management and submarine sector networking experience desirable Experience managing complex projects, programmes or portfolios; AutoCAD and SolidWorks skills beneficial Background in engineering or project oversight on major facilities, including configuration and systems management 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 Build & Test (SSNA Infrastructure) team: As a Principal Manufacturing Engineer, you will work with a team delivering complex , cross-discipline manufacturing projects, ensuring methods of manufacture, assembly, and repair meet safety, quality, cost, and delivery targets throughout the product lifecycle. You'll apply your expertise to ensure design intent is achieved in operations, manage resources to support project delivery, and balance stakeholder demands across Manufacturing Operations and Programme teams. This is a key leadership role focussed on driving capability, compliance, and operational excellence. We offer relocation support across all Submarine roles, subject to meeting eligibility criteria. 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: 29th January 2026 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.
Jan 27, 2026
Full time
Job Title: Principal Manufacturing Engineer - Infrastructure Location: Barrow-in-Furness (On-site) Salary: Competitive What you'll be doing : Convert industrial capability concepts, infrastructure needs and technology plans into defined requirement strategies and business cases Manage delivery of allocated scope, including planning and scheduling work packages in line with annual and quarterly milestones for future facility development Define and develop facility and infrastructure requirements in collaboration with the Senior Requirements Manager, supporting implementation of a new Production Line Operating Model using RIBA LCM Contribute to the development of future manufacturing processes by creating process maps, analysing data, resolving technical queries and providing measurable improvements Support the evolution of submarine build methods while maintaining an understanding of existing production practices Build and maintain effective working relationships with facility owners, senior leadership, subject matter experts and key stakeholders across internal and external organisations Translate engineering design intent into manufacturing engineering outputs to support facility capability development, ensuring documentation accuracy and compliance Your skills and experiences: HNC/D or equivalent in Construction, Engineering or Project Management Knowledge of submarine operations/trade domains (Coatings, Build, Test & Commissioning), Engineering, or Infrastructure/Facility Management is advantageous Stakeholder management and submarine sector networking experience desirable Experience managing complex projects, programmes or portfolios; AutoCAD and SolidWorks skills beneficial Background in engineering or project oversight on major facilities, including configuration and systems management 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 Build & Test (SSNA Infrastructure) team: As a Principal Manufacturing Engineer, you will work with a team delivering complex , cross-discipline manufacturing projects, ensuring methods of manufacture, assembly, and repair meet safety, quality, cost, and delivery targets throughout the product lifecycle. You'll apply your expertise to ensure design intent is achieved in operations, manage resources to support project delivery, and balance stakeholder demands across Manufacturing Operations and Programme teams. This is a key leadership role focussed on driving capability, compliance, and operational excellence. We offer relocation support across all Submarine roles, subject to meeting eligibility criteria. 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: 29th January 2026 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.
