2375 jobs found

Business Development Manager role for a fast-growing Battery Storage developer Your new company Working for a PE-backed, battery storage developer, with assets in 4 European countries, this role will be operationally involved, leading on business development strategies, and optimising performance across the business. The company is focused on working with large-scale corporations all over the world. Your new role The purpose of this role is to work with senior leaders in the business to really understand the success of projects and influence the development and implementation of processes to improve customer offering and build the sales pipeline. Duties Analysing and entering selected new market segmentsBusiness partneringReporting on project performanceStrategic presentation of financial information to operational business partners, senior exec team and new customersDriving revenue growth and analysing contracts including pricing strategiesDesign of business communication processes. What you'll need to succeed You will ideally come from a business development, commercial or finance background with the ability to analyse, interpret and present financial and operational information as well as challenge the operational performance of assets. Experience in renewable energy, construction or engineering will be essential for the role. What you'll get in return You will get the opportunity to join a really relevant business at a time when they are experiencing growth in a newly created role. You will therefore work closely with Heads of departments and be working in a position with loads of growth opportunities. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #

Business Development Director We are seeking an experienced Business Development Director to lead growth initiatives for our ground engineering operations. You will drive revenue generation, develop strategic partnerships, and expand our presence across key infrastructure, construction, and civil engineering markets. Key Responsibilities: Develop and implement the company's business development strategy to achieve revenue and margin target Identify and secure new project opportunities within ground engineering, piling, foundations, and geotechnical service Build and maintain strong relationships with clients, consultants, contractors, and key stakeholders Lead tendering and bid strategy in collaboration with estimating and technical teams Monitor market trends, competitor activity, and emerging opportunities Represent the company at industry events, networking forums, and client meetings Provide regular pipeline forecasts and performance reports to senior leadership The role offers long term career progression, and our client sees the value in offering flexible/ hybrid working so you will be managing your own time. On offer is a market leading salary and package.

We are hiring a Senior Azure Integration Developer to join a Business Applications team within a leading financial services environment. This is a hands-on engineering role focused on designing, building and maintaining integrations across the Microsoft Azure ecosystem to support critical business applications and evolving technology needs. You will work closely with architecture, development and business teams to deliver secure, scalable and high-performance integration solutions using modern Azure integration technologies. Key Responsibilities Design and deliver secure, scalable Azure integrations (APIM, Logic Apps, Functions, Service Bus, Event Grid, AKS) Produce clear technical designs (API specs, diagrams, documentation) Apply API security, versioning, throttling, and governance best practices Maintain and optimise integrations for reliability and performance Troubleshoot distributed systems using Azure monitoring tools Manage documentation, runbooks, and support processes Build and deploy solutions via Azure DevOps and Git Implement Infrastructure-as-Code (Bicep/Terraform) Promote automation, testing, and secure coding practices Work with stakeholders to deliver effective integration solutions Implement monitoring, alerting, and observability Experience Required Proven experience with Azure Integration Services (APIM, Logic Apps, Azure Functions, Service Bus, Event Grid) Experience delivering containerised workloads in AKS Strong programming capability in C#, .NET, JavaScript or TypeScript Solid understanding of REST APIs, OAuth2 and modern API security practices Experience with SQL and data integration technologies Familiarity with CI/CD pipelines and DevOps practices, ideally using Azure DevOps Knowledge of Infrastructure-as-Code tools such as Terraform or Bicep is advantageouS This is a London-based hybrid role offering the opportunity to shape integration capability within a technically mature, enterprise-scale environment.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do As a Full Stack Developer & Power Platform Engineer you will design, build, and enhance applications that support BCG's internal business operations. You'll work hands-on across front-end, back-end, and integration layers while contributing to solution architecture and ensuring alignment with BCG's technology standards. Key Responsibilities Design, build, and maintain full stack applications using .NET Core, C#, REST APIs, and Power Platform applications Develop scalable and secure backend services and responsive front-end interfaces Build and maintain Power Platform solutions including Power Apps, Power Automate, and Dataverse Integrate Power Platform solutions with custom services and enterprise APIs Translate business requirements into technical designs considering scalability, performance, and maintainability Contribute to architectural decisions, design reviews, and technical documentation Implement CI/CD pipelines and automate deployment workflows Work with Azure cloud, containers, and serverless components Collaborate closely with product owners, UX, analysts, and engineering teams in Agile sprints Support production environments with root-cause analysis and continuous improvement You're good at Designing clean, maintainable, and well-tested code Balancing hands-on development with architectural thinking Communicating complex technical topics clearly Understanding business processes and translating them into technical solutions Documenting systems and solutions thoroughly What You'll Bring 7-10+ years of experience in full stack engineering Strong expertise in .NET Core, C#, React or Angular Hands-on experience with Power Platform and Dataverse Understanding of solution architecture, integration patterns, and cloud architecture Experience with Azure cloud services and microservices patterns Knowledge of SQL and familiarity with NoSQL CI/CD, Git-based workflows, and automation experience Strong communication, collaboration, and problem solving skills Who You'll Work With You will work within a dynamic engineering team across multiple geographies, collaborating with business stakeholders, architects, and platform teams. This role offers the opportunity to directly shape internal tools used globally across BCG. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Job Title: Senior Mission Systems Engineer Job Location: Brough - We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role Salary: £51722+ depending on skills and experience Who we are: Join BAE Systems and you'll be part of something bigger. As a valued member of our global colleague network, you'll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You'll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow - shaping a safer future, for all of us. Role Description: As an experienced mission systems engineer, you will help develop next-generation mission systems across the full engineering lifecycle, from requirements through to design, development, and implementation. You will provide technical expertise within a multi-functional team, contributing to concepting, architecting, requirements management , design, testing, safety, cybersecurity, and certification activities as needed. The role also involves leading and supporting team meetings and Agile reviews, guiding less experienced engineers such as apprentices, and managing the creation of engineering documentation that supports the systems engineering process. Core Duties: Essential: A degree in a STEM subject or equivalent relevant experience Systems engineering and engineering lifecycle experience Knowledge of systems engineering methods and tools (e.g. UML/SysML, MoDAF, MOOD, Matlab) Ability to work in a changing and evolving environment The Team: You will be part of the Mission Systems Delivery Team (MSDT) delivering the Assessment Phase of the Future Combat Air System (FCAS) programme. The team uses an agile work planning process to develop mission system concept options, architectures and designs for the various components of a future combat air system. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work - this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family - support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive. We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. We welcome applications from all candidates and give full, fair and open consideration to everyone. If you require any reasonable adjustments during the recruitment process, please contact our recruitment team to discuss any further support you may need. Connect with us at Security Statement: 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: 13th April 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: Mission Systems Engineer Location: Warton - onsite We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ depending on experience Job Description: We are looking for a Vehicle Management Systems Engineer to join the Systems Delivery Team within FalconWorks, contributing to the next generation of Mission and Vehicle Management Systems for a diverse portfolio of platforms. In this role, you will work as part of a highly collaborative, multi-disciplinary engineering team to develop, integrate, test, and deliver novel Mission Systems concepts for crewed and uncrewed applications. You will help define architectures, refine platform concepts of operations into system requirements, and integrate Vehicle Management Systems with onboard and ground systems. The role involves managing a small team of engineers, coordinating virtual stakeholders, liaising with suppliers, and ensuring tasks are delivered to time, cost, and quality targets. Frequent collaboration with internal specialists, including AI & Autonomy , Human Factors, Software, Modelling & Simulation, and Test & Evaluation, as well as external partners, is a key part of the role . This is a highly innovative position, requiring self-motivation, planning and coordination skills, and the ability to operate beyond the current state-of-the-art to establish routes from low Technology Readiness Level concepts to assured delivery of coherent Vehicle Management System capabilities. Core duties: Develop and deliver Vehicle Management System (VMS) architectures and designs, integrating low Technology Readiness Level concepts into coherent, flight-ready capabilities. Work collaboratively within a small engineering team and lead a wider virtual stakeholder group to expand the VMS engineering capability across FalconWorks . Ensure all tasks are delivered to time, cost, and quality requirements, adhering to Systems Delivery monitoring and engineering governance processes. Refine platform concepts of operations into VMS requirements, interface strategies, and control system designs, including integration with onboard systems and ground control . Manage internal and external suppliers, providing technical oversight during procurement, contract management , and system testing activities, including test rigs and flight trials. Support system safety, qualification, and assurance activities, including Fault Tree Analysis , clearance documentation, and oversight of compliance with engineering standards. Essential Skills: Experience with safety-critical airborne control systems, including flight control and vehicle sub-system control , and the ability to build, set-to-work, and fault-find within these systems. Strong understanding of systems engineering principles across the full lifecycle, including requirements development, management , and integration with platform systems. Knowledge of interfacing and control techniques in both digital and analogue domains, with an appreciation of physical, functional, and performance challenges of airborne systems. Experience analysing test data, developing test plans, and supporting system qualification to ensure compliance and performance. Excellent communication and teamwork skills, with the ability to work autonomously, build relationships, provide guidance, and deliver innovative, methodical solutions. The FalconWorks Systems Delivery Team: You'll be joining the FalconWorks Systems Delivery Team, a dynamic, multi-disciplinary engineering group focused on shaping and delivering the next generation of Mission and Vehicle Management Systems. Working in a highly collaborative environment, the team brings together experienced Mission Systems and Vehicle Management Systems engineers to develop innovative capabilities across a diverse portfolio of platforms. This role offers exposure to cutting-edge technologies in a non-traditional development environment and provides opportunities for long-term career growth, including progression into specialist technical roles or higher-level technology leadership positions such as Licensed Technologist and Lead Technologist. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. 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: 13th April 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: Mission Systems Engineer Location: Warton - onsite We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ depending on experience Job Description: We are looking for a Vehicle Management Systems Engineer to join the Systems Delivery Team within FalconWorks, contributing to the next generation of Mission and Vehicle Management Systems for a diverse portfolio of platforms. In this role, you will work as part of a highly collaborative, multi-disciplinary engineering team to develop, integrate, test, and deliver novel Mission Systems concepts for crewed and uncrewed applications. You will help define architectures, refine platform concepts of operations into system requirements, and integrate Vehicle Management Systems with onboard and ground systems. The role involves managing a small team of engineers, coordinating virtual stakeholders, liaising with suppliers, and ensuring tasks are delivered to time, cost, and quality targets. Frequent collaboration with internal specialists, including AI & Autonomy , Human Factors, Software, Modelling & Simulation, and Test & Evaluation, as well as external partners, is a key part of the role . This is a highly innovative position, requiring self-motivation, planning and coordination skills, and the ability to operate beyond the current state-of-the-art to establish routes from low Technology Readiness Level concepts to assured delivery of coherent Vehicle Management System capabilities. Core duties: Develop and deliver Vehicle Management System (VMS) architectures and designs, integrating low Technology Readiness Level concepts into coherent, flight-ready capabilities. Work collaboratively within a small engineering team and lead a wider virtual stakeholder group to expand the VMS engineering capability across FalconWorks . Ensure all tasks are delivered to time, cost, and quality requirements, adhering to Systems Delivery monitoring and engineering governance processes. Refine platform concepts of operations into VMS requirements, interface strategies, and control system designs, including integration with onboard systems and ground control . Manage internal and external suppliers, providing technical oversight during procurement, contract management , and system testing activities, including test rigs and flight trials. Support system safety, qualification, and assurance activities, including Fault Tree Analysis , clearance documentation, and oversight of compliance with engineering standards. Essential Skills: Experience with safety-critical airborne control systems, including flight control and vehicle sub-system control , and the ability to build, set-to-work, and fault-find within these systems. Strong understanding of systems engineering principles across the full lifecycle, including requirements development, management , and integration with platform systems. Knowledge of interfacing and control techniques in both digital and analogue domains, with an appreciation of physical, functional, and performance challenges of airborne systems. Experience analysing test data, developing test plans, and supporting system qualification to ensure compliance and performance. Excellent communication and teamwork skills, with the ability to work autonomously, build relationships, provide guidance, and deliver innovative, methodical solutions. The FalconWorks Systems Delivery Team: You'll be joining the FalconWorks Systems Delivery Team, a dynamic, multi-disciplinary engineering group focused on shaping and delivering the next generation of Mission and Vehicle Management Systems. Working in a highly collaborative environment, the team brings together experienced Mission Systems and Vehicle Management Systems engineers to develop innovative capabilities across a diverse portfolio of platforms. This role offers exposure to cutting-edge technologies in a non-traditional development environment and provides opportunities for long-term career growth, including progression into specialist technical roles or higher-level technology leadership positions such as Licensed Technologist and Lead Technologist. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. 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: 13th April 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: Mission Systems Engineer Location: Warton - onsite We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ depending on experience Job Description: We are looking for a Vehicle Management Systems Engineer to join the Systems Delivery Team within FalconWorks, contributing to the next generation of Mission and Vehicle Management Systems for a diverse portfolio of platforms. In this role, you will work as part of a highly collaborative, multi-disciplinary engineering team to develop, integrate, test, and deliver novel Mission Systems concepts for crewed and uncrewed applications. You will help define architectures, refine platform concepts of operations into system requirements, and integrate Vehicle Management Systems with onboard and ground systems. The role involves managing a small team of engineers, coordinating virtual stakeholders, liaising with suppliers, and ensuring tasks are delivered to time, cost, and quality targets. Frequent collaboration with internal specialists, including AI & Autonomy , Human Factors, Software, Modelling & Simulation, and Test & Evaluation, as well as external partners, is a key part of the role . This is a highly innovative position, requiring self-motivation, planning and coordination skills, and the ability to operate beyond the current state-of-the-art to establish routes from low Technology Readiness Level concepts to assured delivery of coherent Vehicle Management System capabilities. Core duties: Develop and deliver Vehicle Management System (VMS) architectures and designs, integrating low Technology Readiness Level concepts into coherent, flight-ready capabilities. Work collaboratively within a small engineering team and lead a wider virtual stakeholder group to expand the VMS engineering capability across FalconWorks . Ensure all tasks are delivered to time, cost, and quality requirements, adhering to Systems Delivery monitoring and engineering governance processes. Refine platform concepts of operations into VMS requirements, interface strategies, and control system designs, including integration with onboard systems and ground control . Manage internal and external suppliers, providing technical oversight during procurement, contract management , and system testing activities, including test rigs and flight trials. Support system safety, qualification, and assurance activities, including Fault Tree Analysis , clearance documentation, and oversight of compliance with engineering standards. Essential Skills: Experience with safety-critical airborne control systems, including flight control and vehicle sub-system control , and the ability to build, set-to-work, and fault-find within these systems. Strong understanding of systems engineering principles across the full lifecycle, including requirements development, management , and integration with platform systems. Knowledge of interfacing and control techniques in both digital and analogue domains, with an appreciation of physical, functional, and performance challenges of airborne systems. Experience analysing test data, developing test plans, and supporting system qualification to ensure compliance and performance. Excellent communication and teamwork skills, with the ability to work autonomously, build relationships, provide guidance, and deliver innovative, methodical solutions. The FalconWorks Systems Delivery Team: You'll be joining the FalconWorks Systems Delivery Team, a dynamic, multi-disciplinary engineering group focused on shaping and delivering the next generation of Mission and Vehicle Management Systems. Working in a highly collaborative environment, the team brings together experienced Mission Systems and Vehicle Management Systems engineers to develop innovative capabilities across a diverse portfolio of platforms. This role offers exposure to cutting-edge technologies in a non-traditional development environment and provides opportunities for long-term career growth, including progression into specialist technical roles or higher-level technology leadership positions such as Licensed Technologist and Lead Technologist. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. 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: 13th April 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: Mission Systems Engineer Location: Warton - onsite We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ depending on experience Job Description: We are looking for a Vehicle Management Systems Engineer to join the Systems Delivery Team within FalconWorks, contributing to the next generation of Mission and Vehicle Management Systems for a diverse portfolio of platforms. In this role, you will work as part of a highly collaborative, multi-disciplinary engineering team to develop, integrate, test, and deliver novel Mission Systems concepts for crewed and uncrewed applications. You will help define architectures, refine platform concepts of operations into system requirements, and integrate Vehicle Management Systems with onboard and ground systems. The role involves managing a small team of engineers, coordinating virtual stakeholders, liaising with suppliers, and ensuring tasks are delivered to time, cost, and quality targets. Frequent collaboration with internal specialists, including AI & Autonomy , Human Factors, Software, Modelling & Simulation, and Test & Evaluation, as well as external partners, is a key part of the role . This is a highly innovative position, requiring self-motivation, planning and coordination skills, and the ability to operate beyond the current state-of-the-art to establish routes from low Technology Readiness Level concepts to assured delivery of coherent Vehicle Management System capabilities. Core duties: Develop and deliver Vehicle Management System (VMS) architectures and designs, integrating low Technology Readiness Level concepts into coherent, flight-ready capabilities. Work collaboratively within a small engineering team and lead a wider virtual stakeholder group to expand the VMS engineering capability across FalconWorks . Ensure all tasks are delivered to time, cost, and quality requirements, adhering to Systems Delivery monitoring and engineering governance processes. Refine platform concepts of operations into VMS requirements, interface strategies, and control system designs, including integration with onboard systems and ground control . Manage internal and external suppliers, providing technical oversight during procurement, contract management , and system testing activities, including test rigs and flight trials. Support system safety, qualification, and assurance activities, including Fault Tree Analysis , clearance documentation, and oversight of compliance with engineering standards. Essential Skills: Experience with safety-critical airborne control systems, including flight control and vehicle sub-system control , and the ability to build, set-to-work, and fault-find within these systems. Strong understanding of systems engineering principles across the full lifecycle, including requirements development, management , and integration with platform systems. Knowledge of interfacing and control techniques in both digital and analogue domains, with an appreciation of physical, functional, and performance challenges of airborne systems. Experience analysing test data, developing test plans, and supporting system qualification to ensure compliance and performance. Excellent communication and teamwork skills, with the ability to work autonomously, build relationships, provide guidance, and deliver innovative, methodical solutions. The FalconWorks Systems Delivery Team: You'll be joining the FalconWorks Systems Delivery Team, a dynamic, multi-disciplinary engineering group focused on shaping and delivering the next generation of Mission and Vehicle Management Systems. Working in a highly collaborative environment, the team brings together experienced Mission Systems and Vehicle Management Systems engineers to develop innovative capabilities across a diverse portfolio of platforms. This role offers exposure to cutting-edge technologies in a non-traditional development environment and provides opportunities for long-term career growth, including progression into specialist technical roles or higher-level technology leadership positions such as Licensed Technologist and Lead Technologist. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. 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: 13th April 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: Mission Systems Engineer Location: Warton - onsite We offer a range of hybrid and flexible working arrangements - please speak to your recruiter about the options for this particular role. Salary: £51,772+ depending on experience Job Description: We are looking for a Vehicle Management Systems Engineer to join the Systems Delivery Team within FalconWorks, contributing to the next generation of Mission and Vehicle Management Systems for a diverse portfolio of platforms. In this role, you will work as part of a highly collaborative, multi-disciplinary engineering team to develop, integrate, test, and deliver novel Mission Systems concepts for crewed and uncrewed applications. You will help define architectures, refine platform concepts of operations into system requirements, and integrate Vehicle Management Systems with onboard and ground systems. The role involves managing a small team of engineers, coordinating virtual stakeholders, liaising with suppliers, and ensuring tasks are delivered to time, cost, and quality targets. Frequent collaboration with internal specialists, including AI & Autonomy , Human Factors, Software, Modelling & Simulation, and Test & Evaluation, as well as external partners, is a key part of the role . This is a highly innovative position, requiring self-motivation, planning and coordination skills, and the ability to operate beyond the current state-of-the-art to establish routes from low Technology Readiness Level concepts to assured delivery of coherent Vehicle Management System capabilities. Core duties: Develop and deliver Vehicle Management System (VMS) architectures and designs, integrating low Technology Readiness Level concepts into coherent, flight-ready capabilities. Work collaboratively within a small engineering team and lead a wider virtual stakeholder group to expand the VMS engineering capability across FalconWorks . Ensure all tasks are delivered to time, cost, and quality requirements, adhering to Systems Delivery monitoring and engineering governance processes. Refine platform concepts of operations into VMS requirements, interface strategies, and control system designs, including integration with onboard systems and ground control . Manage internal and external suppliers, providing technical oversight during procurement, contract management , and system testing activities, including test rigs and flight trials. Support system safety, qualification, and assurance activities, including Fault Tree Analysis , clearance documentation, and oversight of compliance with engineering standards. Essential Skills: Experience with safety-critical airborne control systems, including flight control and vehicle sub-system control , and the ability to build, set-to-work, and fault-find within these systems. Strong understanding of systems engineering principles across the full lifecycle, including requirements development, management , and integration with platform systems. Knowledge of interfacing and control techniques in both digital and analogue domains, with an appreciation of physical, functional, and performance challenges of airborne systems. Experience analysing test data, developing test plans, and supporting system qualification to ensure compliance and performance. Excellent communication and teamwork skills, with the ability to work autonomously, build relationships, provide guidance, and deliver innovative, methodical solutions. The FalconWorks Systems Delivery Team: You'll be joining the FalconWorks Systems Delivery Team, a dynamic, multi-disciplinary engineering group focused on shaping and delivering the next generation of Mission and Vehicle Management Systems. Working in a highly collaborative environment, the team brings together experienced Mission Systems and Vehicle Management Systems engineers to develop innovative capabilities across a diverse portfolio of platforms. This role offers exposure to cutting-edge technologies in a non-traditional development environment and provides opportunities for long-term career growth, including progression into specialist technical roles or higher-level technology leadership positions such as Licensed Technologist and Lead Technologist. Why BAE Systems? Here you'll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You'll be recognised for your contribution and enjoy rewards tailored to what's most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We're committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. 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: 13th April 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. 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.