Reigate and Banstead Borough Council
Reigate, Surrey, UK
Job Title: Digital Services & Systems Team Leader
Location of work: Town Hall, Reigate
Salary: TS1 Pay scales £48075 to £62004
Basis: Permanent, Full time
Are you ready to make a real impact in shaping the digital future of local government? We’re seeking a proactive and innovative Digital Services & Systems Team Leader to join our ICT department. This is a hands-on team leader role, ideal for a self-starter who thrives on driving digital transformation and operational excellence.
About the Role
As the Digital Services & Systems Team Leader, you will:
Lead a team of three Business Improvement Analysts and three System Support Analysts.
Develop and maintain a forward-looking, agile business application architecture to support council services.
Contribute to ICT strategy, ensuring compliance with national and local standards.
Manage team resourcing, external partnerships and problem escalation.
Key Responsibilities
Drive digital transformation initiatives, including service design, form building, and automation.
Champion user-centred design and accessibility across all digital services.
Foster a culture of innovation, continuous improvement, and cross-departmental collaboration.
Evaluate proposals for new systems and enhancements, prioritizing based on ROI and strategic fit.
Oversee the development of online forms using low-code platforms (e.g., Granicus govService), HTML/CSS, and API integration.
Support systems administration for both legacy and modern cloud platforms.
Plan and coordinate software rollouts, including governance, training, and change communication.
Lead the adoption and rollout of collaboration platforms such as Microsoft Teams and SharePoint and encourage their use to enhance productivity.
What We’re Looking For
Proven experience in digital services, systems leadership, or ICT project management.
Strong analytical, problem-solving, and communication skills.
Experience with digital transformation, automation, and user-centred design.
Ability to manage multiple priorities and foster cross-functional collaboration.
Commitment to continuous improvement and innovation.
Join us as we embark on our journey to become a larger unitary authority in Surrey. Play a pivotal role in shaping the council’s digital landscape, making a difference for our community and colleagues alike. Apply today to lead our digital journey!
Staff Benefits
In exchange for your expertise, experience and enthusiasm, we will offer support in continuing your personal and career development, in addition to providing a wide range of employment linked benefits.
We provide you with competitive annual leave, and contribute 15% towards the LGPS pension scheme. You will also have access to a range of discounts including local and high street stores, and salary sacrifice schemes including a cycle lease scheme, and ‘Better’ leisure centre membership.
Additional Information
For an informal discussion about the role, please call Kenton Reader, Technology Services Manager on 01737 276764.
We are proud to be an equal opportunities employer, supporting the guaranteed interview scheme for disabled and ex-armed forces candidates, who meet the essential criteria for the role.
Closing date: Tuesday 6 January 2026
Interview date: Monday 19 January 2026
Values and Behaviours
Our great working environment and the values and behaviours of every individual and team in the Council, help to evolve the culture of our organisation to become more commercial, innovative and embracing of change. Successful applicants to our career opportunities will be able to demonstrate they share the values and behaviours we seek in our organisation.
Local Government Reorganisation
Reigate and Banstead Borough Council is part of the government’s plans for Local Government Reorganisation (LGR) scheduled to take place in April 2027. This means the current two-tier system, where services are split between Surrey County Council and district and borough councils like Reigate, will be replaced with two unitary councils made up of East and West Surrey, which will handle all local services. Reigate and Banstead Borough Council will form part of the new East Surrey unitary authority.
Although this may lead to some uncertainty for anyone considering a role with us, this process will take some time and during that time we still need to provide services. When local government is reorganised, most staff will transfer to the new council(s) which may offer additional opportunities for career development and variety as part of a larger organisation.
Further information on LGR can be found here: Local Government Reorganisation (LGR) and Devolution | Reigate and Banstead
See ' Who we are ' as a council, to find out more about us.
11/12/2025
Full time
Job Title: Digital Services & Systems Team Leader
Location of work: Town Hall, Reigate
Salary: TS1 Pay scales £48075 to £62004
Basis: Permanent, Full time
Are you ready to make a real impact in shaping the digital future of local government? We’re seeking a proactive and innovative Digital Services & Systems Team Leader to join our ICT department. This is a hands-on team leader role, ideal for a self-starter who thrives on driving digital transformation and operational excellence.
About the Role
As the Digital Services & Systems Team Leader, you will:
Lead a team of three Business Improvement Analysts and three System Support Analysts.
Develop and maintain a forward-looking, agile business application architecture to support council services.
Contribute to ICT strategy, ensuring compliance with national and local standards.
Manage team resourcing, external partnerships and problem escalation.
Key Responsibilities
Drive digital transformation initiatives, including service design, form building, and automation.
Champion user-centred design and accessibility across all digital services.
Foster a culture of innovation, continuous improvement, and cross-departmental collaboration.
Evaluate proposals for new systems and enhancements, prioritizing based on ROI and strategic fit.
Oversee the development of online forms using low-code platforms (e.g., Granicus govService), HTML/CSS, and API integration.
Support systems administration for both legacy and modern cloud platforms.
Plan and coordinate software rollouts, including governance, training, and change communication.
Lead the adoption and rollout of collaboration platforms such as Microsoft Teams and SharePoint and encourage their use to enhance productivity.
What We’re Looking For
Proven experience in digital services, systems leadership, or ICT project management.
Strong analytical, problem-solving, and communication skills.
Experience with digital transformation, automation, and user-centred design.
Ability to manage multiple priorities and foster cross-functional collaboration.
Commitment to continuous improvement and innovation.
Join us as we embark on our journey to become a larger unitary authority in Surrey. Play a pivotal role in shaping the council’s digital landscape, making a difference for our community and colleagues alike. Apply today to lead our digital journey!
Staff Benefits
In exchange for your expertise, experience and enthusiasm, we will offer support in continuing your personal and career development, in addition to providing a wide range of employment linked benefits.
We provide you with competitive annual leave, and contribute 15% towards the LGPS pension scheme. You will also have access to a range of discounts including local and high street stores, and salary sacrifice schemes including a cycle lease scheme, and ‘Better’ leisure centre membership.
Additional Information
For an informal discussion about the role, please call Kenton Reader, Technology Services Manager on 01737 276764.
We are proud to be an equal opportunities employer, supporting the guaranteed interview scheme for disabled and ex-armed forces candidates, who meet the essential criteria for the role.
Closing date: Tuesday 6 January 2026
Interview date: Monday 19 January 2026
Values and Behaviours
Our great working environment and the values and behaviours of every individual and team in the Council, help to evolve the culture of our organisation to become more commercial, innovative and embracing of change. Successful applicants to our career opportunities will be able to demonstrate they share the values and behaviours we seek in our organisation.
Local Government Reorganisation
Reigate and Banstead Borough Council is part of the government’s plans for Local Government Reorganisation (LGR) scheduled to take place in April 2027. This means the current two-tier system, where services are split between Surrey County Council and district and borough councils like Reigate, will be replaced with two unitary councils made up of East and West Surrey, which will handle all local services. Reigate and Banstead Borough Council will form part of the new East Surrey unitary authority.
Although this may lead to some uncertainty for anyone considering a role with us, this process will take some time and during that time we still need to provide services. When local government is reorganised, most staff will transfer to the new council(s) which may offer additional opportunities for career development and variety as part of a larger organisation.
Further information on LGR can be found here: Local Government Reorganisation (LGR) and Devolution | Reigate and Banstead
See ' Who we are ' as a council, to find out more about us.
Position Summary
We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.
As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.
Job Responsibilities
Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams
Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments
Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs
Lead technical planning and implementation of infrastructure improvements
Provide technical guidance on architecture decisions affecting scientific workflows
Manage and optimize WEKA storage systems and VSphere virtual environments
Support Linux-based scientific computing environments, leveraging managed services as appropriate
Implement and maintain monitoring solutions for complex computing environments
Participate in capacity planning and performance optimization initiatives
Drive infrastructure automation and continuous improvement
Manage relationships with vendors and technical partners
Vendor & Contract Management:
Manage third-party Linux support contract and contractor relationships
Define and monitor service level agreements
Ensure contractor compliance with company security policies
Review and approve contractor work
Manage vendor performance and escalations
Security & Compliance:
Act as primary point of contact for parent company security audits
Develop and maintain security compliance documentation
Coordinate and respond to penetration testing activities
Implement security recommendations and remediation plans
Ensure infrastructure meets corporate security standards
Participate in security incident response planning
Business Continuity:
Lead disaster recovery planning for scientific computing infrastructure
Coordinate and execute DR testing
Maintain DR documentation and procedures
Develop and maintain business continuity plans
Ensure RPO/RTO objectives are met
Financial Planning & Technical Debt:
Develop long-term capital planning for infrastructure
Manage infrastructure budget and forecasting for AskBio European locations
Identify and track technical debt
Create remediation plans for technical debt
Provide cost-benefit analysis for infrastructure investments
Manage infrastructure lifecycle planning
Develop business cases for infrastructure improvements
Key Competencies:
Technical:
Infrastructure architecture and design
Performance optimization
Problem-solving and troubleshooting
Security best practices
Technical documentation
Business & Management:
Contract negotiation and management
Budget planning and control
Risk management
Audit response and compliance
Strategic planning
Vendor management
Cost-benefit analysis
Interpersonal:
Strong communication skills
Stakeholder management
Team collaboration
Conflict resolution
Customer service orientation
Ability to bridge technical and scientific domains
Leadership:
Technical leadership
Project management
Mentoring and knowledge transfer
Change management
Strategic thinking
Impact Metrics: Success in this role will be measured by:
Infrastructure stability and performance improvements
Stakeholder satisfaction levels
Project delivery effectiveness
Technical problem resolution metrics
Team collaboration effectiveness
Innovation and process improvements
Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.
This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience in infrastructure engineering roles
Experience with high-performance computing environments
Proven experience supporting GPU-accelerated computing environments
Strong understanding of storage systems and networking
Experience with infrastructure monitoring and optimization tools
Demonstrated ability to work with scientific computing workflows
Experience managing vendor relationships and contracts
Knowledge of IT security and compliance requirements
Experience with disaster recovery planning and testing
Understanding of IT financial planning and budgeting
Experience with audit responses and compliance documentation
Strong experience with Linux administration and engineering
Extensive knowledge of virtualization technologies, particularly VSphere
Preferred Education, Experience and Skills
Experience with WEKA storage systems
Knowledge of AI/ML infrastructure requirements
Experience supporting bioinformatics workflows
Familiarity with container technologies (Docker, Kubernetes)
Experience with infrastructure automation tools
Understanding of scientific computing software and frameworks
Previous experience in biotech or pharmaceutical industries
Experience with cloud platforms (AWS, Azure)
ITIL certification
Security certifications (CISSP, CISM, or similar)
Experience with GxP compliance
Experience with pharmaceutical industry regulations
Previous experience managing technical debt in regulated environments
18/11/2025
Full time
Position Summary
We're seeking an Associate Director, IT Infrastructure to lead and transform our scientific computing environment in support of our cutting-edge gene therapy research. This senior leadership position will drive the strategy and execution of research computing initiatives, working in close partnership with our Bioinformatics, AI/ML, and Global IT Infrastructure teams. The role focuses specifically on advancing our scientific computing capabilities through operational excellence, while ensuring our research teams can maximize the value of our high-performance computing investments.
As a key member of the technology leadership team, this position will be responsible for the day-to-day operations and strategic evolution of our research computing environment. The successful candidate will combine deep technical expertise in scientific computing with strong business acumen to deliver innovative solutions that accelerate our research mission. While Global IT Infrastructure maintains our enterprise technology foundation, this role focuses exclusively on the specialized computing needs of our scientific teams, including high-performance computing, GPU-accelerated workflows, and research data management.
Job Responsibilities
Serve as the primary local IT Infrastructure contact for Edinburgh's Bioinformatics and AI/ML teams
Manage and optimize scientific computing infrastructure, including GPU clusters, high-performance storage systems, and virtualized environments
Collaborate with global IT teams to ensure infrastructure alignment with scientific computing needs
Lead technical planning and implementation of infrastructure improvements
Provide technical guidance on architecture decisions affecting scientific workflows
Manage and optimize WEKA storage systems and VSphere virtual environments
Support Linux-based scientific computing environments, leveraging managed services as appropriate
Implement and maintain monitoring solutions for complex computing environments
Participate in capacity planning and performance optimization initiatives
Drive infrastructure automation and continuous improvement
Manage relationships with vendors and technical partners
Vendor & Contract Management:
Manage third-party Linux support contract and contractor relationships
Define and monitor service level agreements
Ensure contractor compliance with company security policies
Review and approve contractor work
Manage vendor performance and escalations
Security & Compliance:
Act as primary point of contact for parent company security audits
Develop and maintain security compliance documentation
Coordinate and respond to penetration testing activities
Implement security recommendations and remediation plans
Ensure infrastructure meets corporate security standards
Participate in security incident response planning
Business Continuity:
Lead disaster recovery planning for scientific computing infrastructure
Coordinate and execute DR testing
Maintain DR documentation and procedures
Develop and maintain business continuity plans
Ensure RPO/RTO objectives are met
Financial Planning & Technical Debt:
Develop long-term capital planning for infrastructure
Manage infrastructure budget and forecasting for AskBio European locations
Identify and track technical debt
Create remediation plans for technical debt
Provide cost-benefit analysis for infrastructure investments
Manage infrastructure lifecycle planning
Develop business cases for infrastructure improvements
Key Competencies:
Technical:
Infrastructure architecture and design
Performance optimization
Problem-solving and troubleshooting
Security best practices
Technical documentation
Business & Management:
Contract negotiation and management
Budget planning and control
Risk management
Audit response and compliance
Strategic planning
Vendor management
Cost-benefit analysis
Interpersonal:
Strong communication skills
Stakeholder management
Team collaboration
Conflict resolution
Customer service orientation
Ability to bridge technical and scientific domains
Leadership:
Technical leadership
Project management
Mentoring and knowledge transfer
Change management
Strategic thinking
Impact Metrics: Success in this role will be measured by:
Infrastructure stability and performance improvements
Stakeholder satisfaction levels
Project delivery effectiveness
Technical problem resolution metrics
Team collaboration effectiveness
Innovation and process improvements
Note: This position requires occasional travel to other company locations and may require some out-of-hours support during critical maintenance windows or emergencies.
This role represents a critical position in our organization, bridging technical expertise with scientific computing needs while fostering strong working relationships between global teams.
Minimum Requirements
Bachelor's degree in Computer Science, Engineering, or related field
8+ years of experience in infrastructure engineering roles
Experience with high-performance computing environments
Proven experience supporting GPU-accelerated computing environments
Strong understanding of storage systems and networking
Experience with infrastructure monitoring and optimization tools
Demonstrated ability to work with scientific computing workflows
Experience managing vendor relationships and contracts
Knowledge of IT security and compliance requirements
Experience with disaster recovery planning and testing
Understanding of IT financial planning and budgeting
Experience with audit responses and compliance documentation
Strong experience with Linux administration and engineering
Extensive knowledge of virtualization technologies, particularly VSphere
Preferred Education, Experience and Skills
Experience with WEKA storage systems
Knowledge of AI/ML infrastructure requirements
Experience supporting bioinformatics workflows
Familiarity with container technologies (Docker, Kubernetes)
Experience with infrastructure automation tools
Understanding of scientific computing software and frameworks
Previous experience in biotech or pharmaceutical industries
Experience with cloud platforms (AWS, Azure)
ITIL certification
Security certifications (CISSP, CISM, or similar)
Experience with GxP compliance
Experience with pharmaceutical industry regulations
Previous experience managing technical debt in regulated environments
Are you ready to take your career to the next level? This exciting opportunity as a Business Data Analyst offers the chance to make a real impact in a dynamic and fast-paced environment. With a focus on driving scalable lead acquisition, qualification, and conversion, this role is perfect for someone looking to work on innovative projects that shape the future of business strategies. As a part of this position, you will collaborate with cross-functional teams, dive into data analysis, and optimise processes to deliver tangible results. If you're passionate about data, insights, and making a difference, this could be the perfect role for you. What You Will Do: - Own the end-to-end lead journey through robust API integrations, ensuring seamless lead attribution, minimal leakage, and improved online booking conversion rates. - Analyse dashboards to track lead quality, source effectiveness, drop-offs, and conversion trends, delivering actionable insights that enhance lead velocity and ROI. - Drive scalable strategies for lead acquisition, qualification, and nurturing at various stages, ensuring smooth collaboration across stakeholders. - Provide structured reporting on lead flow and SLA adherence, enabling refinement of lead management tactics. - Collaborate with stakeholders to maintain accuracy, optimise efficiencies, and identify roadmaps for improvement in lead flow and management. What You Will Bring: - Strong analytical skills and a proven ability to interpret data into actionable strategies. - Experience with API integrations and lead management processes. - Ability to work collaboratively with cross-functional teams and external stakeholders. - Proficiency in using dashboards to track and optimise performance metrics. - A results-driven mindset with a focus on improving lead velocity and ROI. - Experience / knowledge of Zapier, Bemycar, MSD software or similar packages advantageous. - Degree qualified in a relevant field such as data science, statistics, computer science, mathematics or digital marketing essential. This role is a vital part of the company's mission to enhance operational efficiency and maximise growth opportunities. By leveraging your skills and expertise, you will contribute to the optimisation of lead acquisition and conversion processes, aligning with the company's commitment to innovation and excellence. Location: This position is hybrid with office location in Camden, offering a vibrant and inspiring work environment in the heart of the city. Interested?: If you're ready to step into a role that challenges and rewards, apply today. Don't miss the chance to be part of a forward-thinking company where your contributions will drive success and innovation. Apply now to start your journey as a Business Data Analyst! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
18/03/2026
Contractor
Are you ready to take your career to the next level? This exciting opportunity as a Business Data Analyst offers the chance to make a real impact in a dynamic and fast-paced environment. With a focus on driving scalable lead acquisition, qualification, and conversion, this role is perfect for someone looking to work on innovative projects that shape the future of business strategies. As a part of this position, you will collaborate with cross-functional teams, dive into data analysis, and optimise processes to deliver tangible results. If you're passionate about data, insights, and making a difference, this could be the perfect role for you. What You Will Do: - Own the end-to-end lead journey through robust API integrations, ensuring seamless lead attribution, minimal leakage, and improved online booking conversion rates. - Analyse dashboards to track lead quality, source effectiveness, drop-offs, and conversion trends, delivering actionable insights that enhance lead velocity and ROI. - Drive scalable strategies for lead acquisition, qualification, and nurturing at various stages, ensuring smooth collaboration across stakeholders. - Provide structured reporting on lead flow and SLA adherence, enabling refinement of lead management tactics. - Collaborate with stakeholders to maintain accuracy, optimise efficiencies, and identify roadmaps for improvement in lead flow and management. What You Will Bring: - Strong analytical skills and a proven ability to interpret data into actionable strategies. - Experience with API integrations and lead management processes. - Ability to work collaboratively with cross-functional teams and external stakeholders. - Proficiency in using dashboards to track and optimise performance metrics. - A results-driven mindset with a focus on improving lead velocity and ROI. - Experience / knowledge of Zapier, Bemycar, MSD software or similar packages advantageous. - Degree qualified in a relevant field such as data science, statistics, computer science, mathematics or digital marketing essential. This role is a vital part of the company's mission to enhance operational efficiency and maximise growth opportunities. By leveraging your skills and expertise, you will contribute to the optimisation of lead acquisition and conversion processes, aligning with the company's commitment to innovation and excellence. Location: This position is hybrid with office location in Camden, offering a vibrant and inspiring work environment in the heart of the city. Interested?: If you're ready to step into a role that challenges and rewards, apply today. Don't miss the chance to be part of a forward-thinking company where your contributions will drive success and innovation. Apply now to start your journey as a Business Data Analyst! Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Systems Engineer Dorset HQ Hybrid Working I'm working with a prominent player in the aviation simulation and training sector, renowned for delivering forward-thinking solutions that enhance both aviation safety and efficiency. Headquartered in the Dorset area their commitment to innovation, advanced technology, and exceptional customer service drives to constantly push the limits of aviation training and simulation. Systems Engineer This vital role involves providing requirements analysis and systems engineering support across various functions, including product development, sales and marketing, and customer support. The ideal candidate will possess the ability to juggle diverse tasks, adapt to rapidly shifting priorities, and serve as a key point of contact for customers. Key Responsibilities Gather and analyse customer requirements for system architecture, feature development, and third-party system integration's. Represent the company in customer-facing engagements, including requirements gathering, critical design reviews, and integration efforts. Convert customer needs into clear, comprehensive software requirements that align with both system architecture and operational objectives. Evaluate proposed solutions to ensure they meet customer and internal specifications. Offer system-level guidance and technical advice to various departments. Maintain consistent requirements baseline across all departments. Lead process improvement initiatives within the systems team. Stay updated with emerging technical topics to support both ongoing projects and internal needs. Travel to customer sites worldwide as necessary. Who You Are An experienced systems engineer with expertise in requirements engineering and solution architecture. Proven background in engineering practices, methodologies, and tools. In-depth knowledge of ATC (Air Traffic Control) operational protocols and procedures, as well as the ATC/ATM environment. Skilled in deriving system component requirements from broad customer needs. Proficient in stakeholder management, capable of engaging effectively with individuals at all levels. A highly analytical thinker with strong attention to detail. A versatile professional capable of handling multiple tasks simultaneously. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
18/03/2026
Full time
Systems Engineer Dorset HQ Hybrid Working I'm working with a prominent player in the aviation simulation and training sector, renowned for delivering forward-thinking solutions that enhance both aviation safety and efficiency. Headquartered in the Dorset area their commitment to innovation, advanced technology, and exceptional customer service drives to constantly push the limits of aviation training and simulation. Systems Engineer This vital role involves providing requirements analysis and systems engineering support across various functions, including product development, sales and marketing, and customer support. The ideal candidate will possess the ability to juggle diverse tasks, adapt to rapidly shifting priorities, and serve as a key point of contact for customers. Key Responsibilities Gather and analyse customer requirements for system architecture, feature development, and third-party system integration's. Represent the company in customer-facing engagements, including requirements gathering, critical design reviews, and integration efforts. Convert customer needs into clear, comprehensive software requirements that align with both system architecture and operational objectives. Evaluate proposed solutions to ensure they meet customer and internal specifications. Offer system-level guidance and technical advice to various departments. Maintain consistent requirements baseline across all departments. Lead process improvement initiatives within the systems team. Stay updated with emerging technical topics to support both ongoing projects and internal needs. Travel to customer sites worldwide as necessary. Who You Are An experienced systems engineer with expertise in requirements engineering and solution architecture. Proven background in engineering practices, methodologies, and tools. In-depth knowledge of ATC (Air Traffic Control) operational protocols and procedures, as well as the ATC/ATM environment. Skilled in deriving system component requirements from broad customer needs. Proficient in stakeholder management, capable of engaging effectively with individuals at all levels. A highly analytical thinker with strong attention to detail. A versatile professional capable of handling multiple tasks simultaneously. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
scrumconnect ltd
Newcastle Upon Tyne, Tyne And Wear
About Scrumconnect Scrumconnect is a trusted digital delivery partner to UK government departments and public sector bodies. We specialise in building user-centred digital services that improve lives. Our multidisciplinary teams bring together experienced technologists, designers, researchers, and strategists to solve complex challenges and drive meaningful impact in the public sector. About the role: We are looking for a strategic and experienced Product Manager to lead the development and delivery of high-quality digital services. The role requires someone who can manage a multidisciplinary team, collaborate with key stakeholders and ensure that the product vision aligns with user needs and organisational goals. As a Product Manager, you will play a pivotal role in driving product strategy, managing roadmaps and delivering digital services that are simple, accessible and effective. At this level you will: Shape the overall product vision and strategy, ensuring alignment with organisational priorities and user needs. Lead and support agile, cross-functional teams to deliver high-quality products iteratively, using agile principles to continuously improve delivery. Influence and build strong relationships with senior stakeholders across policy, technical and operational teams to align on goals and outcomes. Promote a user-centred design approach, ensuring that services are built to meet the needs of users, with a focus on usability, accessibility and inclusivity. Provide clear leadership and direction, ensuring that the product roadmap and priorities are understood by your team and stakeholders. Drive performance metrics and analysis, using data to track the success of the product and make evidence-based decisions for improvement. Coach and mentor junior product managers, developing their skills and fostering a collaborative environment within the team and the broader product management community. This role requires a proactive individual who thrives in an agile environment and can drive the product process from research to execution. You'll be responsible for: Defining and delivering the product roadmap, ensuring it balances business needs, technical feasibility and user requirements. Prioritising the product backlog, making trade-offs between different features and enhancements based on user value, business goals and development effort. Engaging with stakeholders to gather feedback, clarify requirements and ensure that the product vision is aligned across teams. Leading product discovery and research, validating ideas through user research, testing and prototyping before committing to development. Managing the end-to-end product life cycle, from concept to delivery, including continuous iteration and improvement based on user feedback. Experience with and ensuring compliance with GOV.UK service standards, including performance, accessibility, security and legal requirements. Managing risks and issues, proactively identifying potential blockers and taking action to mitigate them in collaboration with the team and stakeholders. Skills needed for this role: Product management expertise: Proven experience in managing the end-to-end product life cycle, including strategy development, roadmap creation and delivery in an agile environment. Agile methodologies: Deep understanding of agile principles and hands-on experience leading cross-functional teams in an iterative product delivery process. Stakeholder management: Strong ability to engage, influence, and manage relationships with senior stakeholders across different departments and disciplines. User-centred design: Familiarity with user research, usability testing and incorporating user feedback to build products that meet the needs of diverse users. Data-driven decision making: Ability to use data and metrics to drive product decisions, assess product performance and inform future improvements. Communication and leadership: Excellent written and verbal communication skills, with the ability to present complex ideas clearly and motivate teams. Problem-solving: Analytical mindset with the ability to think strategically and resolve issues that arise during product development and delivery. Governance and compliance: Knowledge of GOV.UK service standards and an understanding of accessibility, security and legal compliance in the public sector context. Mentorship and coaching: Ability to guide and mentor junior team members, fostering their professional development and growth Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
18/03/2026
Full time
About Scrumconnect Scrumconnect is a trusted digital delivery partner to UK government departments and public sector bodies. We specialise in building user-centred digital services that improve lives. Our multidisciplinary teams bring together experienced technologists, designers, researchers, and strategists to solve complex challenges and drive meaningful impact in the public sector. About the role: We are looking for a strategic and experienced Product Manager to lead the development and delivery of high-quality digital services. The role requires someone who can manage a multidisciplinary team, collaborate with key stakeholders and ensure that the product vision aligns with user needs and organisational goals. As a Product Manager, you will play a pivotal role in driving product strategy, managing roadmaps and delivering digital services that are simple, accessible and effective. At this level you will: Shape the overall product vision and strategy, ensuring alignment with organisational priorities and user needs. Lead and support agile, cross-functional teams to deliver high-quality products iteratively, using agile principles to continuously improve delivery. Influence and build strong relationships with senior stakeholders across policy, technical and operational teams to align on goals and outcomes. Promote a user-centred design approach, ensuring that services are built to meet the needs of users, with a focus on usability, accessibility and inclusivity. Provide clear leadership and direction, ensuring that the product roadmap and priorities are understood by your team and stakeholders. Drive performance metrics and analysis, using data to track the success of the product and make evidence-based decisions for improvement. Coach and mentor junior product managers, developing their skills and fostering a collaborative environment within the team and the broader product management community. This role requires a proactive individual who thrives in an agile environment and can drive the product process from research to execution. You'll be responsible for: Defining and delivering the product roadmap, ensuring it balances business needs, technical feasibility and user requirements. Prioritising the product backlog, making trade-offs between different features and enhancements based on user value, business goals and development effort. Engaging with stakeholders to gather feedback, clarify requirements and ensure that the product vision is aligned across teams. Leading product discovery and research, validating ideas through user research, testing and prototyping before committing to development. Managing the end-to-end product life cycle, from concept to delivery, including continuous iteration and improvement based on user feedback. Experience with and ensuring compliance with GOV.UK service standards, including performance, accessibility, security and legal requirements. Managing risks and issues, proactively identifying potential blockers and taking action to mitigate them in collaboration with the team and stakeholders. Skills needed for this role: Product management expertise: Proven experience in managing the end-to-end product life cycle, including strategy development, roadmap creation and delivery in an agile environment. Agile methodologies: Deep understanding of agile principles and hands-on experience leading cross-functional teams in an iterative product delivery process. Stakeholder management: Strong ability to engage, influence, and manage relationships with senior stakeholders across different departments and disciplines. User-centred design: Familiarity with user research, usability testing and incorporating user feedback to build products that meet the needs of diverse users. Data-driven decision making: Ability to use data and metrics to drive product decisions, assess product performance and inform future improvements. Communication and leadership: Excellent written and verbal communication skills, with the ability to present complex ideas clearly and motivate teams. Problem-solving: Analytical mindset with the ability to think strategically and resolve issues that arise during product development and delivery. Governance and compliance: Knowledge of GOV.UK service standards and an understanding of accessibility, security and legal compliance in the public sector context. Mentorship and coaching: Ability to guide and mentor junior team members, fostering their professional development and growth Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.
Role: Lead Software Engineer Location: East Sussex (On-site) Salary: Up to 65,000 (DOE) Start Date: ASAP Type: Permanent Company Overview Our client is a leading engineering and manufacturing organisation delivering advanced technology solutions across a range of high-tech industries. Their East Sussex site plays a key role in developing complex, electronics-based products within a collaborative and innovation-driven environment. The Lead Software Engineer Role in East Sussex We are seeking an experienced Lead Software Engineer to architect and lead software development across a range of embedded systems. You will guide a small team, drive best practices, and ensure delivery of high-quality, production-ready software. This is a hands-on leadership role covering the full software lifecycle, from requirements through to validation and release, within a structured, compliance-driven environment. Key Responsibilities Architect and develop scalable, reliable embedded software solutions Lead, mentor, and support a small team of engineers Act as SCRUM Master or technical lead within Agile environments Drive best practice across development, testing, and code reviews Maintain and improve regression testing and validation processes Collaborate with product, engineering, and manufacturing teams Ensure clear requirements, delivery milestones, and completion criteria Oversee software releases in line with quality and compliance standards Drive continuous improvement across development processes Key Skills Embedded software development (C or C++) Microcontrollers and processors (e.g. ARM, PIC) Software architecture and system design Electronics or manufacturing environment experience Testing, validation, and automation frameworks Agile and Waterfall methodologies (SCRUM experience preferred) Regulated or compliance-driven industry experience Leadership or mentoring experience Strong communication and stakeholder management If this sounds like you, apply now or get in touch for a confidential chat to secure your spot ahead of interviews.
18/03/2026
Full time
Role: Lead Software Engineer Location: East Sussex (On-site) Salary: Up to 65,000 (DOE) Start Date: ASAP Type: Permanent Company Overview Our client is a leading engineering and manufacturing organisation delivering advanced technology solutions across a range of high-tech industries. Their East Sussex site plays a key role in developing complex, electronics-based products within a collaborative and innovation-driven environment. The Lead Software Engineer Role in East Sussex We are seeking an experienced Lead Software Engineer to architect and lead software development across a range of embedded systems. You will guide a small team, drive best practices, and ensure delivery of high-quality, production-ready software. This is a hands-on leadership role covering the full software lifecycle, from requirements through to validation and release, within a structured, compliance-driven environment. Key Responsibilities Architect and develop scalable, reliable embedded software solutions Lead, mentor, and support a small team of engineers Act as SCRUM Master or technical lead within Agile environments Drive best practice across development, testing, and code reviews Maintain and improve regression testing and validation processes Collaborate with product, engineering, and manufacturing teams Ensure clear requirements, delivery milestones, and completion criteria Oversee software releases in line with quality and compliance standards Drive continuous improvement across development processes Key Skills Embedded software development (C or C++) Microcontrollers and processors (e.g. ARM, PIC) Software architecture and system design Electronics or manufacturing environment experience Testing, validation, and automation frameworks Agile and Waterfall methodologies (SCRUM experience preferred) Regulated or compliance-driven industry experience Leadership or mentoring experience Strong communication and stakeholder management If this sounds like you, apply now or get in touch for a confidential chat to secure your spot ahead of interviews.
Role: Senior Software Engineer Location: East Sussex (On-site) Salary: Up to 55,000 (DOE) Start Date: ASAP Type: Permanent Company Overview Our client is a leading engineering and manufacturing organisation delivering advanced technology solutions across a range of high-tech industries. Their East Sussex site plays a key role in developing complex, electronics-based products within a collaborative and innovation-driven environment. The Senior Software Engineer Role in East Sussex We are seeking an experienced Senior Software Engineer to develop and support software for controllers, instrumentation, and interfaces used in advanced engineering products. You will play a key role across the full software lifecycle, contributing to high-quality, production-ready solutions within a structured environment. This is a hands-on role suited to someone with strong embedded software experience who enjoys working on real-world, hardware-integrated systems. Key Responsibilities Develop scalable, reliable software solutions for embedded systems Work within Agile/SCRUM or multidisciplinary teams to deliver new features Provide technical support and contribute specialist expertise across projects Mentor and support less experienced engineers where required Investigate and resolve software and hardware issues for internal and external stakeholders Develop test harnesses, scripts, and automation tools for validation Contribute to the continuous improvement of software development processes Deliver production-ready code with appropriate documentation and version control Key Skills Embedded software development (C or C++) Microcontrollers and processors (e.g. ARM, PIC) Experience within electronics or manufacturing environments Testing, validation, and debugging experience Understanding of software development processes in regulated environments Exposure to Agile or SCRUM methodologies Experience supporting customer-facing, electronics-based products Strong communication and teamwork skills If this sounds like you, apply now or get in touch for a confidential chat to secure your spot ahead of interviews.
18/03/2026
Full time
Role: Senior Software Engineer Location: East Sussex (On-site) Salary: Up to 55,000 (DOE) Start Date: ASAP Type: Permanent Company Overview Our client is a leading engineering and manufacturing organisation delivering advanced technology solutions across a range of high-tech industries. Their East Sussex site plays a key role in developing complex, electronics-based products within a collaborative and innovation-driven environment. The Senior Software Engineer Role in East Sussex We are seeking an experienced Senior Software Engineer to develop and support software for controllers, instrumentation, and interfaces used in advanced engineering products. You will play a key role across the full software lifecycle, contributing to high-quality, production-ready solutions within a structured environment. This is a hands-on role suited to someone with strong embedded software experience who enjoys working on real-world, hardware-integrated systems. Key Responsibilities Develop scalable, reliable software solutions for embedded systems Work within Agile/SCRUM or multidisciplinary teams to deliver new features Provide technical support and contribute specialist expertise across projects Mentor and support less experienced engineers where required Investigate and resolve software and hardware issues for internal and external stakeholders Develop test harnesses, scripts, and automation tools for validation Contribute to the continuous improvement of software development processes Deliver production-ready code with appropriate documentation and version control Key Skills Embedded software development (C or C++) Microcontrollers and processors (e.g. ARM, PIC) Experience within electronics or manufacturing environments Testing, validation, and debugging experience Understanding of software development processes in regulated environments Exposure to Agile or SCRUM methodologies Experience supporting customer-facing, electronics-based products Strong communication and teamwork skills If this sounds like you, apply now or get in touch for a confidential chat to secure your spot ahead of interviews.
At Rethink Mental Illness, we believe everyone should be able to live a fulfilling life, regardless of how severely mental illness affects them. Our services are growing and so is our ambition. That s why we re looking for a passionate and skilled Business Development Manager to help us shape the future of our charity and the support we provide. About the role As our Business Development Manager, you ll play a key role in sustaining and expanding the services that make a real difference to people severely affected by mental illness. You ll bring teams together, write with clarity and purpose, and lead the end to end bid development process ensuring we continue to deliver high quality, impactful support where it s needed most. You ll champion collaboration, draw on the expertise of colleagues across the charity, and craft compelling, evidence based proposals that reflect who we are and what we stand for. From early development to final submission, you ll help us win and retain contracts that directly improve lives. What you ll be doing Leading the end to end development of bids, retenders, and proposals in line with internal quality standards. Working collaboratively with teams across Rethink Mental Illness, building strong relationships and creating connected ways of working. Supporting and managing Bid Development Officers. Contributing to regional business development plans and helping shape sustainable, innovative service models. Writing high quality, insightful submissions that articulate our strengths, capabilities, and lived experience approach. Developing early-stage budget models and working with Finance and HR to finalise financials ahead of submission. Generating insight through data, evidence, and internal expertise to create winning proposals. Researching competitors and identifying what makes Rethink Mental Illness stand out. Supporting successful bids through structured handovers and mobilisation. Contributing to continuous improvement through feedback, learning, and maintaining our Bid Library. What you ll bring Essential A strong track record of writing successful competitive bids or proposals. Excellent writing, critical thinking, and communication skills. The ability to interpret complex tender documents and understand commissioner expectations. Strong relationship-building skills and the ability to unite diverse teams. Knowledge of commissioning, current legislation, and best practice in mental health and social care. Experience constructing budgets and modelling service assumptions. Strong organisational and project management abilities, with flexibility to meet deadlines. Proficiency with Microsoft Office and excellent general IT skills. A values driven approach consistent with Rethink Mental Illness ethos. Desirable Experience working within mental health, health, or social care sectors. Lived or professional experience related to mental health and wellbeing. Why Rethink Mental Illness? When you join us, you re not just taking on a role you re becoming part of a movement. A movement committed to improving the lives of people severely affected by mental illness through high quality services, innovation, and compassionate support. You ll be part of a collaborative, supportive team where your growth and wellbeing matter, and where your work has a clear, direct impact.
18/03/2026
Full time
At Rethink Mental Illness, we believe everyone should be able to live a fulfilling life, regardless of how severely mental illness affects them. Our services are growing and so is our ambition. That s why we re looking for a passionate and skilled Business Development Manager to help us shape the future of our charity and the support we provide. About the role As our Business Development Manager, you ll play a key role in sustaining and expanding the services that make a real difference to people severely affected by mental illness. You ll bring teams together, write with clarity and purpose, and lead the end to end bid development process ensuring we continue to deliver high quality, impactful support where it s needed most. You ll champion collaboration, draw on the expertise of colleagues across the charity, and craft compelling, evidence based proposals that reflect who we are and what we stand for. From early development to final submission, you ll help us win and retain contracts that directly improve lives. What you ll be doing Leading the end to end development of bids, retenders, and proposals in line with internal quality standards. Working collaboratively with teams across Rethink Mental Illness, building strong relationships and creating connected ways of working. Supporting and managing Bid Development Officers. Contributing to regional business development plans and helping shape sustainable, innovative service models. Writing high quality, insightful submissions that articulate our strengths, capabilities, and lived experience approach. Developing early-stage budget models and working with Finance and HR to finalise financials ahead of submission. Generating insight through data, evidence, and internal expertise to create winning proposals. Researching competitors and identifying what makes Rethink Mental Illness stand out. Supporting successful bids through structured handovers and mobilisation. Contributing to continuous improvement through feedback, learning, and maintaining our Bid Library. What you ll bring Essential A strong track record of writing successful competitive bids or proposals. Excellent writing, critical thinking, and communication skills. The ability to interpret complex tender documents and understand commissioner expectations. Strong relationship-building skills and the ability to unite diverse teams. Knowledge of commissioning, current legislation, and best practice in mental health and social care. Experience constructing budgets and modelling service assumptions. Strong organisational and project management abilities, with flexibility to meet deadlines. Proficiency with Microsoft Office and excellent general IT skills. A values driven approach consistent with Rethink Mental Illness ethos. Desirable Experience working within mental health, health, or social care sectors. Lived or professional experience related to mental health and wellbeing. Why Rethink Mental Illness? When you join us, you re not just taking on a role you re becoming part of a movement. A movement committed to improving the lives of people severely affected by mental illness through high quality services, innovation, and compassionate support. You ll be part of a collaborative, supportive team where your growth and wellbeing matter, and where your work has a clear, direct impact.
OPERATIONS SUPPLY PLANNER This exciting opportunity has arisen for an Operations Supply Planner to work with some of the world's best loved brands of chocolate and confectionery. This role is positioned within a stand-alone entrepreneurial division of a global FMCG business. The focus is to extend their brands into new categories to deliver high levels of growth and innovation in their markets. Over the past years they have experienced rapid growth and are now looking to extend the team to accommodate and continue this success. The successful candidate will be responsible for day-to-day planning and customer collaboration for quick-service restaurants and Food service customers, ensuring best-in-class product availability by taking the medium-term forecast creating production forecasts and placing orders for raw materials and finished goods. This role leads the implementation of new supply chain routes through distributors and wholesale, coordinating internal teams and external partners to deliver scalable and service-led routes to market. This is an ongoing assignment through Adecco with our client in Slough You must be available to work in the Slough office at least 2 days per week, the rest can be worked at home. WHAT WOULD YOU BE DOING? Execute collaborative demand plan (weekly & period cycles), aligning on forecast with internal and external key stakeholders Translate customer demand into production plans for packaging, raw materials and finished goods. Own promotional build strategies, limited time offers (LTOs), menu transitions, and seasonal uplifts. Act as primary supply chain contact for assigned QSR customers, distributors and wholesale partners. Managing the SAP transactions for all stock movements, ensuring SAP accurately reflects actual stock levels. i.e. raising purchase orders, creating goods receipts, raising invoices & credits to manage stock movements. The job holder is responsible for ensuring SAP stock listings reflect the correct quantity and value of stock. Ensure all SAP transactions are done in a timely manner to allow smooth Period ends. Tracking and reporting service levels from all co-manufacturers, enabling trends to be identified and issues picked up and reviews where applicable. Problem solving to ensure all demand can be met or shortages of supply escalated as appropriate. Communicating with co-manufacturers to inform them of any changes to production schedules or changes in demand. Ensuring any other stakeholders are informed of these changes and implications. Arranging transports for finished goods deliveries, ensuring procurement through to pay. Ensure all financial transactions & accruals are made in a timely manner following the period end process Active contribution to the weekly NPD and Implementation project meetings relevant to product categories Internal coordination of multi-category sales orders to ensure stock is available across a number of different categories from different co-manufacturers in time to export. Co-ordination of transport and import and export documentation if required. THE SUCCESSFUL CANDIDATE WOULD NEED TO HAVE Recognised interpersonal savvy and communication skills Customer led mindset; credible and confident in external meetings Good organisational skills Prior supply planning experience Good attention to detail Experience of SAP Solid Critical thinking and focus on continuous improvement Experience in FMCG It this role sounds like the perfect fit for you, we want to hear from you. This could be the next step in your career path. APPLY TODAY! Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
18/03/2026
Full time
OPERATIONS SUPPLY PLANNER This exciting opportunity has arisen for an Operations Supply Planner to work with some of the world's best loved brands of chocolate and confectionery. This role is positioned within a stand-alone entrepreneurial division of a global FMCG business. The focus is to extend their brands into new categories to deliver high levels of growth and innovation in their markets. Over the past years they have experienced rapid growth and are now looking to extend the team to accommodate and continue this success. The successful candidate will be responsible for day-to-day planning and customer collaboration for quick-service restaurants and Food service customers, ensuring best-in-class product availability by taking the medium-term forecast creating production forecasts and placing orders for raw materials and finished goods. This role leads the implementation of new supply chain routes through distributors and wholesale, coordinating internal teams and external partners to deliver scalable and service-led routes to market. This is an ongoing assignment through Adecco with our client in Slough You must be available to work in the Slough office at least 2 days per week, the rest can be worked at home. WHAT WOULD YOU BE DOING? Execute collaborative demand plan (weekly & period cycles), aligning on forecast with internal and external key stakeholders Translate customer demand into production plans for packaging, raw materials and finished goods. Own promotional build strategies, limited time offers (LTOs), menu transitions, and seasonal uplifts. Act as primary supply chain contact for assigned QSR customers, distributors and wholesale partners. Managing the SAP transactions for all stock movements, ensuring SAP accurately reflects actual stock levels. i.e. raising purchase orders, creating goods receipts, raising invoices & credits to manage stock movements. The job holder is responsible for ensuring SAP stock listings reflect the correct quantity and value of stock. Ensure all SAP transactions are done in a timely manner to allow smooth Period ends. Tracking and reporting service levels from all co-manufacturers, enabling trends to be identified and issues picked up and reviews where applicable. Problem solving to ensure all demand can be met or shortages of supply escalated as appropriate. Communicating with co-manufacturers to inform them of any changes to production schedules or changes in demand. Ensuring any other stakeholders are informed of these changes and implications. Arranging transports for finished goods deliveries, ensuring procurement through to pay. Ensure all financial transactions & accruals are made in a timely manner following the period end process Active contribution to the weekly NPD and Implementation project meetings relevant to product categories Internal coordination of multi-category sales orders to ensure stock is available across a number of different categories from different co-manufacturers in time to export. Co-ordination of transport and import and export documentation if required. THE SUCCESSFUL CANDIDATE WOULD NEED TO HAVE Recognised interpersonal savvy and communication skills Customer led mindset; credible and confident in external meetings Good organisational skills Prior supply planning experience Good attention to detail Experience of SAP Solid Critical thinking and focus on continuous improvement Experience in FMCG It this role sounds like the perfect fit for you, we want to hear from you. This could be the next step in your career path. APPLY TODAY! Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Senior C++ Software Developer, Python - Financial/Banking Candidates will have 7+ years C++ experience (ideally more) and excellent knowledge of Python - ideally coming from a Financial/Banking background with knowledge of Equities, Futures & Options and Fixed Income and Exchange Connectivity, Fix Protocol with some Low Latency experience. SKILLS DEPENDENT: There may be the opportunity to take on a Principal Engineers role depending on previous experience. Job Overview You will work with the Product, Infrastructure and QA teams, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets around the world. To be successful in this role as a Senior Software Engineer C++, you will be a proponent of agile methodology and modern software best practices. You can produce detailed technical work in OOP and work with other members of the Development team to produce code of high-quality standards. Ideally, you should have worked in critical systems development in the past. Responsibilities and Duties Codes, tests, integrates, and documents software. Provides technical leadership to more junior employees and other teams. Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products. Participate as a Subject Matter Expert in internal review of software components and systems. Work on the hardest technical problems facing the company, often these problems are unusually complex and require the utmost creativity and innovation. Apply and champion the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products. Keep abreast of technology trends and champion new ideas and process improvements. Required Skills/Experience 7+ years development experience in C++ 11 and Boost creating performant, scalable applications. 2+ years of experience in networking (UDP, Multicasting, TCP, etc ), messaging, and algorithms. 2+ years of experience on Linux systems. Good understanding of modern development best practices and methodologies and good knowledge of Git/GitHub. Python, including Pytest. Knowledge of capital markets exchange connectivity on stocks (Fixed Income and derivatives is a plus), including exchange protocols such as FIX and SBE. Most importantly, a drive to solve complex technological and trading challenges with a great team of talented developers. Comfortable using Agile methodology, including continuous integration, sprints, Jira and the relevant processes and workflow. Some understanding and usage of cloud technology is a plus but not mandatory.
18/03/2026
Full time
Senior C++ Software Developer, Python - Financial/Banking Candidates will have 7+ years C++ experience (ideally more) and excellent knowledge of Python - ideally coming from a Financial/Banking background with knowledge of Equities, Futures & Options and Fixed Income and Exchange Connectivity, Fix Protocol with some Low Latency experience. SKILLS DEPENDENT: There may be the opportunity to take on a Principal Engineers role depending on previous experience. Job Overview You will work with the Product, Infrastructure and QA teams, to produce high performance, low latency and highly reliable code. Your goal will be to develop software which handle large amount of TPS to drive a highly efficient technology used by several markets around the world. To be successful in this role as a Senior Software Engineer C++, you will be a proponent of agile methodology and modern software best practices. You can produce detailed technical work in OOP and work with other members of the Development team to produce code of high-quality standards. Ideally, you should have worked in critical systems development in the past. Responsibilities and Duties Codes, tests, integrates, and documents software. Provides technical leadership to more junior employees and other teams. Apply principles and techniques of computer science, engineering, and mathematical analysis to the development of complex products. Participate as a Subject Matter Expert in internal review of software components and systems. Work on the hardest technical problems facing the company, often these problems are unusually complex and require the utmost creativity and innovation. Apply and champion the appropriate standards, processes, procedures, and tools throughout the system development life cycle to support the generation of technical engineering products. Keep abreast of technology trends and champion new ideas and process improvements. Required Skills/Experience 7+ years development experience in C++ 11 and Boost creating performant, scalable applications. 2+ years of experience in networking (UDP, Multicasting, TCP, etc ), messaging, and algorithms. 2+ years of experience on Linux systems. Good understanding of modern development best practices and methodologies and good knowledge of Git/GitHub. Python, including Pytest. Knowledge of capital markets exchange connectivity on stocks (Fixed Income and derivatives is a plus), including exchange protocols such as FIX and SBE. Most importantly, a drive to solve complex technological and trading challenges with a great team of talented developers. Comfortable using Agile methodology, including continuous integration, sprints, Jira and the relevant processes and workflow. Some understanding and usage of cloud technology is a plus but not mandatory.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as an Analyst Programmer! Are you ready to take your programming skills to the next level in the dynamic retail industry? Our client is on the lookout for a talented Analyst Programmer to partner with the EU Fleet Planning team. If you're passionate about automation and data analysis, this temporary role could be your next big opportunity! Role: Analyst Programmer Duration: 6 Months Location: London (5 days on site) Rate: £329 per day (PAYE) What You'll Do: As an Analyst Programmer, you will play a vital role in: Collaborating with the EU Fleet Planning team to accelerate the execution of the automation roadmap. Creating, testing, and analyzing User Acceptance Test (UAT) scenarios for the development of a science optimization model. Operationalizing the science optimization model within fleet scheduling tools using real business data. You'll work closely with a Senior Fleet Supply Chain Manager based in central London, ensuring effective ramp-up and interaction. This role requires you to be in the office 3-4 days a week to foster collaboration and innovation. What We're Looking For: We are seeking a candidate who embodies our leadership principles: Ownership: Take initiative and be accountable for your work. Insist on the Highest Standards: Strive for excellence in everything you do. Dive Deep: Analyze data and processes thoroughly to drive improvements. Deliver Results: Focus on achieving goals and meeting deadlines. Learn and Be Curious: Embrace new challenges and continuously seek knowledge. The ideal candidate will demonstrate: A curiosity to quickly learn team operations and work independently on specific tasks to expedite UAT phases. Proficiency in building, managing, and analyzing complex data sets (basic requirement is through MS-Excel; SQL knowledge is mandatory, with proficiency being a plus). An ability to grasp ambiguous technical and business concepts and requirements. Strong critical thinking skills to operate and deliver independently with limited information. Why Join Us? Exciting Challenges: Dive into a role that offers real impact in fleet scheduling operations. Professional Growth: Work alongside experienced professionals and enhance your skill set. Collaborative Environment: Be part of a team that values communication and teamwork. If you are ready to embrace this exciting opportunity and make a difference in the retail sector, we want to hear from you! Apply Now! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
18/03/2026
Contractor
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as an Analyst Programmer! Are you ready to take your programming skills to the next level in the dynamic retail industry? Our client is on the lookout for a talented Analyst Programmer to partner with the EU Fleet Planning team. If you're passionate about automation and data analysis, this temporary role could be your next big opportunity! Role: Analyst Programmer Duration: 6 Months Location: London (5 days on site) Rate: £329 per day (PAYE) What You'll Do: As an Analyst Programmer, you will play a vital role in: Collaborating with the EU Fleet Planning team to accelerate the execution of the automation roadmap. Creating, testing, and analyzing User Acceptance Test (UAT) scenarios for the development of a science optimization model. Operationalizing the science optimization model within fleet scheduling tools using real business data. You'll work closely with a Senior Fleet Supply Chain Manager based in central London, ensuring effective ramp-up and interaction. This role requires you to be in the office 3-4 days a week to foster collaboration and innovation. What We're Looking For: We are seeking a candidate who embodies our leadership principles: Ownership: Take initiative and be accountable for your work. Insist on the Highest Standards: Strive for excellence in everything you do. Dive Deep: Analyze data and processes thoroughly to drive improvements. Deliver Results: Focus on achieving goals and meeting deadlines. Learn and Be Curious: Embrace new challenges and continuously seek knowledge. The ideal candidate will demonstrate: A curiosity to quickly learn team operations and work independently on specific tasks to expedite UAT phases. Proficiency in building, managing, and analyzing complex data sets (basic requirement is through MS-Excel; SQL knowledge is mandatory, with proficiency being a plus). An ability to grasp ambiguous technical and business concepts and requirements. Strong critical thinking skills to operate and deliver independently with limited information. Why Join Us? Exciting Challenges: Dive into a role that offers real impact in fleet scheduling operations. Professional Growth: Work alongside experienced professionals and enhance your skill set. Collaborative Environment: Be part of a team that values communication and teamwork. If you are ready to embrace this exciting opportunity and make a difference in the retail sector, we want to hear from you! Apply Now! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Robert Walters is working in partnership with a dynamic organisation focused on driving innovation and advancing knowledge in a highly technical and fast-evolving field. Their work involves cutting-edge research, collaboration with experts, and the development of solutions that address complex challenges. They pride themselves on fostering a culture of creativity, teamwork, and professional growth, offering opportunities to contribute to meaningful projects that have a lasting impact. Due to a large-scale digital transformation, they are keen to appoint an experienced IT Service Deliver Manager to be based out of the Bedford offices paying a salary range of £55,000 to £60,000. As the IT Service Delivery Manager (SDM) you will oversee and manage the delivery of IT and Operational Technology (OT) services within a complex and highly regulated environment. You will ensure service quality, governance, and compliance across a mixed IT/OT infrastructure that operates under Government data classification standards. IT Service Delivery Manager (SDM): Duties Manage IT service delivery across both IT and OT networks, including internal and supplier led services, ensuring performance aligns with SLAs, KPIs, and security requirements. Primary interface between the Digital & Technology department, business stakeholders, and third parties. Lead implementation and continuous improvement of ITIL based processes Maintain and develop the IT service catalogue and IT service desk capability Provide regular reporting on service performance Manage the service transition of new systems into operational support Ensure compliance with government security standards IT Service Delivery Manager (SDM): Essential Skills Experience in IT Service Management within a critical infrastructure, defence, public sector, or highly regulated environment Experience of implementing new/improved processes across IT Service Management life cycle ITIL v3 or ITIL 4 certification Managing services across IT networks, both from internal and externally provided services Service management tooling, configuration management databases (CMDB), and monitoring solutions The permanent opportunity for an IT Service Delivery Manager (SDM) will pay a salary up to £60,000 plus benefits base out of the Bedford offices. Please apply with an updated CV to (see below) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
18/03/2026
Full time
Robert Walters is working in partnership with a dynamic organisation focused on driving innovation and advancing knowledge in a highly technical and fast-evolving field. Their work involves cutting-edge research, collaboration with experts, and the development of solutions that address complex challenges. They pride themselves on fostering a culture of creativity, teamwork, and professional growth, offering opportunities to contribute to meaningful projects that have a lasting impact. Due to a large-scale digital transformation, they are keen to appoint an experienced IT Service Deliver Manager to be based out of the Bedford offices paying a salary range of £55,000 to £60,000. As the IT Service Delivery Manager (SDM) you will oversee and manage the delivery of IT and Operational Technology (OT) services within a complex and highly regulated environment. You will ensure service quality, governance, and compliance across a mixed IT/OT infrastructure that operates under Government data classification standards. IT Service Delivery Manager (SDM): Duties Manage IT service delivery across both IT and OT networks, including internal and supplier led services, ensuring performance aligns with SLAs, KPIs, and security requirements. Primary interface between the Digital & Technology department, business stakeholders, and third parties. Lead implementation and continuous improvement of ITIL based processes Maintain and develop the IT service catalogue and IT service desk capability Provide regular reporting on service performance Manage the service transition of new systems into operational support Ensure compliance with government security standards IT Service Delivery Manager (SDM): Essential Skills Experience in IT Service Management within a critical infrastructure, defence, public sector, or highly regulated environment Experience of implementing new/improved processes across IT Service Management life cycle ITIL v3 or ITIL 4 certification Managing services across IT networks, both from internal and externally provided services Service management tooling, configuration management databases (CMDB), and monitoring solutions The permanent opportunity for an IT Service Delivery Manager (SDM) will pay a salary up to £60,000 plus benefits base out of the Bedford offices. Please apply with an updated CV to (see below) Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Are you ready to take on complex technical challenges, champion innovation, and help shape the future of our IT services? We re looking for a Technical Specialist who thrives in a fast paced environment, enjoys solving problems, and brings strong expertise across modern technologies. Salary - £47,046- £50,949 This/These post(s) attract allowances - Call Out / Standby, Market Factors Allowance Market Supplement - This role is currently eligible for a market supplement in addition to the basic salary to reflect determined market conditions. Eligibility for and value of Market factors are reviewed on an annual basis and are not contractual. It can be confirmed, therefore, that a market supplement at the rate of "£5,500 (£pro rata)" per annum will be payable. Hours per week - 37 Closing date - 25/03/2026, 23:55 Technical Specialist £52,546 £56,449 (including market factors uplift) This role sits within the Applications Delivery team and is key to driving continuous improvement and maintaining our policing applications portfolio. You ll work closely with Product Owners, Test Managers, Subject Matter Experts, Solution Architects, external suppliers, and stakeholders to deliver and support business critical services. What You ll Do: As our Technical Specialist, you will be the go to expert for high level technical support, development, and project delivery. You will: Lead on the design, analysis, development, and implementation of advanced technical solutions. Drive service improvements, proactive monitoring, maintenance, and issue resolution. Shape technical standards, strategy, and policy to ensure resilient, future ready services. Evaluate, recommend, and introduce new technologies, acting as a champion for innovation. Serve as Technical Lead on major projects to ensure strong architecture and seamless delivery. Provide expert consultancy, carry out root cause analysis, assess resource requirements, and support non functional needs. Stay ahead of technological advancements through continuous learning and hands on practice. What You ll Bring: You will be an excellent communicator with strong leadership, consultation, and negotiation skills. You will also bring: The ability to break down complex problems and deliver high quality, scalable solutions. Confidence working with third party suppliers and managing technical change end to end. Strong workload management, with the ability to plan effectively and deliver to agreed timescales. A commitment to continuous improvement and innovation. A solid understanding of standard ITIL processes. We re looking for experience in one or more of the areas below: Applications Experience supporting, maintaining, and enhancing enterprise applications. Ability to diagnose complex application issues, integrate with APIs or third party systems, and manage application lifecycle activities. Knowledge of application security, performance optimisation, upgrade planning, and vendor management. Experience working with policing, public sector, or other business critical applications is beneficial. Networks Knowledge of LAN/WAN, Wi Fi, data centre networking, SD WAN, telephony, unified comms, and network security. Expertise with firewalls, cloud networking, monitoring tools, and routing protocols. Ability to translate architectural designs into robust, real world network solutions. Infrastructure Experience with Microsoft 365 technologies including SCCM, Endpoint Manager, AD/ADFS, Azure AD, Identity Management, and Microsoft Information Protection. Skilled in technical analysis, planning, and troubleshooting. Database Hands on experience with Oracle or SQL Server, including backups (RMAN/log shipping), replication, and PL/SQL or T SQL development. Strong understanding of RDBMS principles, distributed architectures, storage, and failover processes. Nice to Have: A degree in Computer Science or similar discipline, or equivalent professional experience and certifications. Additional Information: Location: Police and Fire Headquarters, Portishead (hybrid working available; weekly office visits required). On-site amenities include free parking, a gym, and a coffee shop The role may require participation in an on-call rota (with appropriate allowances). Occasional travel within the force area is required. Applicants must have a five-year checkable UK residency history. The position offers a base salary of £47,046 £50,949, plus a market supplement of £5,500 per annum (pro rata), subject to annual review. In addition to the application form, we also require a copy of your current CV. If you are are unable to upload your CV to your application, please email a copy to: If you re passionate about technology, eager to influence organisational capability, and ready to lead at a technical level we d love to hear from you. About us Diversity is a strength and individuality is an asset. We recognise the benefit different life experience and perspectives can bring. We are on a journey to become the most inclusive police force in the country. Please note: We reserve the right to close this vacancy early if we receive a high volume of applications. We encourage interested candidates to apply as soon as possible to ensure their application is considered. Blended Working/ Hybrid Working Avon and Somerset Police encourage flexible working where operationally possible. This role has been identified as a blended role. The successful candidate for this role will have the opportunity to work from home whilst also at a secondary work location, which will be a police premises. The successful applicant will have the option to discuss working arrangements with their line manager. All applicants must reside within the UK.
18/03/2026
Full time
Are you ready to take on complex technical challenges, champion innovation, and help shape the future of our IT services? We re looking for a Technical Specialist who thrives in a fast paced environment, enjoys solving problems, and brings strong expertise across modern technologies. Salary - £47,046- £50,949 This/These post(s) attract allowances - Call Out / Standby, Market Factors Allowance Market Supplement - This role is currently eligible for a market supplement in addition to the basic salary to reflect determined market conditions. Eligibility for and value of Market factors are reviewed on an annual basis and are not contractual. It can be confirmed, therefore, that a market supplement at the rate of "£5,500 (£pro rata)" per annum will be payable. Hours per week - 37 Closing date - 25/03/2026, 23:55 Technical Specialist £52,546 £56,449 (including market factors uplift) This role sits within the Applications Delivery team and is key to driving continuous improvement and maintaining our policing applications portfolio. You ll work closely with Product Owners, Test Managers, Subject Matter Experts, Solution Architects, external suppliers, and stakeholders to deliver and support business critical services. What You ll Do: As our Technical Specialist, you will be the go to expert for high level technical support, development, and project delivery. You will: Lead on the design, analysis, development, and implementation of advanced technical solutions. Drive service improvements, proactive monitoring, maintenance, and issue resolution. Shape technical standards, strategy, and policy to ensure resilient, future ready services. Evaluate, recommend, and introduce new technologies, acting as a champion for innovation. Serve as Technical Lead on major projects to ensure strong architecture and seamless delivery. Provide expert consultancy, carry out root cause analysis, assess resource requirements, and support non functional needs. Stay ahead of technological advancements through continuous learning and hands on practice. What You ll Bring: You will be an excellent communicator with strong leadership, consultation, and negotiation skills. You will also bring: The ability to break down complex problems and deliver high quality, scalable solutions. Confidence working with third party suppliers and managing technical change end to end. Strong workload management, with the ability to plan effectively and deliver to agreed timescales. A commitment to continuous improvement and innovation. A solid understanding of standard ITIL processes. We re looking for experience in one or more of the areas below: Applications Experience supporting, maintaining, and enhancing enterprise applications. Ability to diagnose complex application issues, integrate with APIs or third party systems, and manage application lifecycle activities. Knowledge of application security, performance optimisation, upgrade planning, and vendor management. Experience working with policing, public sector, or other business critical applications is beneficial. Networks Knowledge of LAN/WAN, Wi Fi, data centre networking, SD WAN, telephony, unified comms, and network security. Expertise with firewalls, cloud networking, monitoring tools, and routing protocols. Ability to translate architectural designs into robust, real world network solutions. Infrastructure Experience with Microsoft 365 technologies including SCCM, Endpoint Manager, AD/ADFS, Azure AD, Identity Management, and Microsoft Information Protection. Skilled in technical analysis, planning, and troubleshooting. Database Hands on experience with Oracle or SQL Server, including backups (RMAN/log shipping), replication, and PL/SQL or T SQL development. Strong understanding of RDBMS principles, distributed architectures, storage, and failover processes. Nice to Have: A degree in Computer Science or similar discipline, or equivalent professional experience and certifications. Additional Information: Location: Police and Fire Headquarters, Portishead (hybrid working available; weekly office visits required). On-site amenities include free parking, a gym, and a coffee shop The role may require participation in an on-call rota (with appropriate allowances). Occasional travel within the force area is required. Applicants must have a five-year checkable UK residency history. The position offers a base salary of £47,046 £50,949, plus a market supplement of £5,500 per annum (pro rata), subject to annual review. In addition to the application form, we also require a copy of your current CV. If you are are unable to upload your CV to your application, please email a copy to: If you re passionate about technology, eager to influence organisational capability, and ready to lead at a technical level we d love to hear from you. About us Diversity is a strength and individuality is an asset. We recognise the benefit different life experience and perspectives can bring. We are on a journey to become the most inclusive police force in the country. Please note: We reserve the right to close this vacancy early if we receive a high volume of applications. We encourage interested candidates to apply as soon as possible to ensure their application is considered. Blended Working/ Hybrid Working Avon and Somerset Police encourage flexible working where operationally possible. This role has been identified as a blended role. The successful candidate for this role will have the opportunity to work from home whilst also at a secondary work location, which will be a police premises. The successful applicant will have the option to discuss working arrangements with their line manager. All applicants must reside within the UK.
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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
18/03/2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
