Join Our Dynamic Team as a Senior Designer! Are you a creative visionary with a passion for building and construction? Do you thrive in a collaborative environment where your design expertise can shine? If so, we have the perfect opportunity for you! Position: Senior Designer Location: Southampton Contract Type: Permanent Working Pattern: Full Time Driving Required: Yes We are seeking an innovative Senior Designer to join our client. In this role, you will play a crucial part in shaping projects that not only meet client expectations but also elevate industry standards. Your creativity and technical skills will be instrumental in designing exceptional solutions that inspire and delight. What You'll Do Collaborate with architects, engineers, and project managers to develop design concepts. Create detailed design plans, ensuring compliance with regulations and standards. Present design ideas and proposals to clients, incorporating feedback to refine your work. Creation, monitoring and revision of assigned drawings. Liaison with manufacturers and project teams including distribution of relevant documentation. Respond to technical queries and make recommendations to fix problems. Occasionally assist with site inspections to monitor and manage technical quality of works and ensure they are carried out as per specifications and manufacturers' recommendation. Visit sites on a planned and ad hoc basis. Measure and monitor delivery of KPIs for site management and subcontractors. Attend regular meetings with site teams, as required. Ensure updated information for subcontractor database is passed to procurement and ordering. Collate relevant information for relevant standards to pass to client and funder as appropriate. What We're Looking For Proven experience as a designer in the building and construction industry Engineering or Architect related studies or equivalent experience CSCS card basic level Facades experience, EWI, cladding, rainscreen experience is essential General IT: Competent user MS Excel, MS Word, Microsoft Outlook email and calendars. Expert AutoCAD user (3D AutoCAD/SketchUp/Revit optional) Strong proficiency in design software (e.g., AutoCAD, SketchUp, Adobe Creative Suite). Exceptional communication and presentation skills. Ability to manage multiple projects and meet deadlines. A degree in Design, Architecture, or a related field is preferred. Benefits 33 days of holiday: Enjoy a generous leave policy to recharge and relax. Pension scheme: Secure your future with our competitive pension plan Life insurance: Peace of mind with our comprehensive life insurance coverage. Paid travel: We value your time and effort, so we offer paid travel for work related journeys. At our company, we foster a positive and inclusive culture where creativity flourishes and every team member's voice is heard. We celebrate our successes together and support one another through challenges. If you're ready to take your design career to the next level and be part of a forward thinking team, we want to hear from you! How to Apply Upload your CV today or call South Coast Office Angels. Office Angels is an employment agency. We are an equal opportunities employer who 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, abilities and more. We do this by showcasing their talents, skills and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 22, 2026
Full time
Join Our Dynamic Team as a Senior Designer! Are you a creative visionary with a passion for building and construction? Do you thrive in a collaborative environment where your design expertise can shine? If so, we have the perfect opportunity for you! Position: Senior Designer Location: Southampton Contract Type: Permanent Working Pattern: Full Time Driving Required: Yes We are seeking an innovative Senior Designer to join our client. In this role, you will play a crucial part in shaping projects that not only meet client expectations but also elevate industry standards. Your creativity and technical skills will be instrumental in designing exceptional solutions that inspire and delight. What You'll Do Collaborate with architects, engineers, and project managers to develop design concepts. Create detailed design plans, ensuring compliance with regulations and standards. Present design ideas and proposals to clients, incorporating feedback to refine your work. Creation, monitoring and revision of assigned drawings. Liaison with manufacturers and project teams including distribution of relevant documentation. Respond to technical queries and make recommendations to fix problems. Occasionally assist with site inspections to monitor and manage technical quality of works and ensure they are carried out as per specifications and manufacturers' recommendation. Visit sites on a planned and ad hoc basis. Measure and monitor delivery of KPIs for site management and subcontractors. Attend regular meetings with site teams, as required. Ensure updated information for subcontractor database is passed to procurement and ordering. Collate relevant information for relevant standards to pass to client and funder as appropriate. What We're Looking For Proven experience as a designer in the building and construction industry Engineering or Architect related studies or equivalent experience CSCS card basic level Facades experience, EWI, cladding, rainscreen experience is essential General IT: Competent user MS Excel, MS Word, Microsoft Outlook email and calendars. Expert AutoCAD user (3D AutoCAD/SketchUp/Revit optional) Strong proficiency in design software (e.g., AutoCAD, SketchUp, Adobe Creative Suite). Exceptional communication and presentation skills. Ability to manage multiple projects and meet deadlines. A degree in Design, Architecture, or a related field is preferred. Benefits 33 days of holiday: Enjoy a generous leave policy to recharge and relax. Pension scheme: Secure your future with our competitive pension plan Life insurance: Peace of mind with our comprehensive life insurance coverage. Paid travel: We value your time and effort, so we offer paid travel for work related journeys. At our company, we foster a positive and inclusive culture where creativity flourishes and every team member's voice is heard. We celebrate our successes together and support one another through challenges. If you're ready to take your design career to the next level and be part of a forward thinking team, we want to hear from you! How to Apply Upload your CV today or call South Coast Office Angels. Office Angels is an employment agency. We are an equal opportunities employer who 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, abilities and more. We do this by showcasing their talents, skills and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
REQUEST FOR PROPOSALS UK Contracted Reward Review Mines Advisory Group (MAG) is seeking an experienced reward consultant or consultancy team to support a comprehensive review and redesign of its UK contracted reward framework. About MAG MAG (Mines Advisory Group) is an international humanitarian organisation working to save lives and build safer futures in conflict affected and fragile contexts. We operate globally across mine action and weapons and ammunition management programmes, working in partnership with governments, donors and affected communities. Overview MAG is undertaking a strategic review of its UK contracted reward framework to ensure it remains fit for purpose, aligned with organisational priorities, and able to support the attraction, retention and development of key talent. MAG has committed to a more comprehensive review in 2026. This assignment will provide external expertise to support diagnostic analysis, design of a revised framework, and development of practical, implementable recommendations. Purpose of the assignment The purpose of this consultancy is to review and redesign key elements of MAG s UK contracted reward framework so that it is fair, transparent, market aware, operationally effective and financially sustainable. The assignment will combine technical analysis, stakeholder engagement, options development and implementation planning. Scope of work The review will focus on UK contracted staff and will include: • Review of reward policy and principles to assess alignment with organisational needs and future direction • Assessment of current job family structure, grading architecture and overall framework design • Review of job evaluation methodology, including clarity, consistency and practical application • Analysis of salary structures, progression approaches and incremental models • Review of allowances and modular reward elements, with recommendations for simplification and alignment • Development of practical design options with clear recommendations and rationale • Indicative cost modelling and affordability analysis • Development of a high level implementation and transition roadmap The consultant will engage with key internal stakeholders and provide advice that is grounded in relevant market practice while being appropriate for an international humanitarian organisation. Deliverables The assignment is expected to produce: • A diagnostic report outlining strengths, risks and key issues in the current framework • An options paper with clear recommendations and rationale • A high level proposed reward framework design • Indicative financial modelling of recommended options • An implementation and transition roadmap • Presentation materials suitable for senior leadership and governance discussions Timeline The assignment is expected to run from May to September 2026, aligned to MAG s internal governance milestones. MAG can provide additional background information and arrange briefing sessions for prospective consultants. To request further information or arrange a discussion, please contact: About you We are looking for a consultant or consultancy team with: • Demonstrable expertise in reward framework design and review, including grading structures, job evaluation and pay progression • Strong experience working with not for profit, humanitarian or complex international organisations • Ability to design reward frameworks that balance fairness, transparency, affordability and operational practicality • Strong analytical capability, including cost modelling and translation of design options into financial impact • Experience working with geographically diverse or internationally mobile workforces • Credible benchmarking capability and access to relevant market data • Ability to apply a diversity, equity and inclusion lens to reward design • Strong communication skills with the ability to present complex concepts clearly to senior stakeholders and governance bodies • Proven ability to deliver within defined timelines and manage confidential data appropriately Further information MAG can provide additional background information and arrange briefing sessions for prospective consultants. To request further information or arrange a discussion, please contact: Louise McDonald Director of People and Culture We welcome pragmatic, proportionate and high impact proposals that support the development of a robust and future fit reward framework. Remuneration is based on submission of final deliverables. Payments will only be made upon MAG s written acceptance of deliverables. All invoices must clearly reference the consultancy contract and deliverables achieved. Payments will be made within 30 days of receiving a correct invoice. Prospective consultants may propose an alternative payment schedule in their proposal, should they wish.
Apr 22, 2026
Full time
REQUEST FOR PROPOSALS UK Contracted Reward Review Mines Advisory Group (MAG) is seeking an experienced reward consultant or consultancy team to support a comprehensive review and redesign of its UK contracted reward framework. About MAG MAG (Mines Advisory Group) is an international humanitarian organisation working to save lives and build safer futures in conflict affected and fragile contexts. We operate globally across mine action and weapons and ammunition management programmes, working in partnership with governments, donors and affected communities. Overview MAG is undertaking a strategic review of its UK contracted reward framework to ensure it remains fit for purpose, aligned with organisational priorities, and able to support the attraction, retention and development of key talent. MAG has committed to a more comprehensive review in 2026. This assignment will provide external expertise to support diagnostic analysis, design of a revised framework, and development of practical, implementable recommendations. Purpose of the assignment The purpose of this consultancy is to review and redesign key elements of MAG s UK contracted reward framework so that it is fair, transparent, market aware, operationally effective and financially sustainable. The assignment will combine technical analysis, stakeholder engagement, options development and implementation planning. Scope of work The review will focus on UK contracted staff and will include: • Review of reward policy and principles to assess alignment with organisational needs and future direction • Assessment of current job family structure, grading architecture and overall framework design • Review of job evaluation methodology, including clarity, consistency and practical application • Analysis of salary structures, progression approaches and incremental models • Review of allowances and modular reward elements, with recommendations for simplification and alignment • Development of practical design options with clear recommendations and rationale • Indicative cost modelling and affordability analysis • Development of a high level implementation and transition roadmap The consultant will engage with key internal stakeholders and provide advice that is grounded in relevant market practice while being appropriate for an international humanitarian organisation. Deliverables The assignment is expected to produce: • A diagnostic report outlining strengths, risks and key issues in the current framework • An options paper with clear recommendations and rationale • A high level proposed reward framework design • Indicative financial modelling of recommended options • An implementation and transition roadmap • Presentation materials suitable for senior leadership and governance discussions Timeline The assignment is expected to run from May to September 2026, aligned to MAG s internal governance milestones. MAG can provide additional background information and arrange briefing sessions for prospective consultants. To request further information or arrange a discussion, please contact: About you We are looking for a consultant or consultancy team with: • Demonstrable expertise in reward framework design and review, including grading structures, job evaluation and pay progression • Strong experience working with not for profit, humanitarian or complex international organisations • Ability to design reward frameworks that balance fairness, transparency, affordability and operational practicality • Strong analytical capability, including cost modelling and translation of design options into financial impact • Experience working with geographically diverse or internationally mobile workforces • Credible benchmarking capability and access to relevant market data • Ability to apply a diversity, equity and inclusion lens to reward design • Strong communication skills with the ability to present complex concepts clearly to senior stakeholders and governance bodies • Proven ability to deliver within defined timelines and manage confidential data appropriately Further information MAG can provide additional background information and arrange briefing sessions for prospective consultants. To request further information or arrange a discussion, please contact: Louise McDonald Director of People and Culture We welcome pragmatic, proportionate and high impact proposals that support the development of a robust and future fit reward framework. Remuneration is based on submission of final deliverables. Payments will only be made upon MAG s written acceptance of deliverables. All invoices must clearly reference the consultancy contract and deliverables achieved. Payments will be made within 30 days of receiving a correct invoice. Prospective consultants may propose an alternative payment schedule in their proposal, should they wish.
SLSQ327R188 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully managed Postgres offering for intelligent applications. This high impact role sits within the Lakebase Go To Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest growing data and AI companies in the world, this is your opportunity. Impact you will have Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT - articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real time, AI driven experiences. Run complex, multi threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line of business stakeholders. Orchestrate proof of value and POCs that validate Lakebase's benefits for OLTP style workloads, reverse ETL, and AI/ML driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud native operational databases by leveraging our compete assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time to market for new features, cost reduction, and simplification of the operational data landscape. Partner cross functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud native services, microservices, event driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line of business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Apr 22, 2026
Full time
SLSQ327R188 Databricks is seeking a Lakebase Sales Specialist Account Executive to help customers modernize their operational data foundation with Databricks Lakebase, our fully managed Postgres offering for intelligent applications. This high impact role sits within the Lakebase Go To Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams. Lakebase gives customers a unified, governed foundation for operational workloads and AI native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service. If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest growing data and AI companies in the world, this is your opportunity. Impact you will have Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team. Lead with outcomes for key Lakebase personas - including platform teams and developers, data teams, and central IT - articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency. Sell the value of fully managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real time, AI driven experiences. Run complex, multi threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line of business stakeholders. Orchestrate proof of value and POCs that validate Lakebase's benefits for OLTP style workloads, reverse ETL, and AI/ML driven applications, in partnership with solution architects and specialists. Compete and win against legacy and cloud native operational databases by leveraging our compete assets, benchmarks, and customer references. Align to measurable business outcomes such as performance, developer productivity, time to market for new features, cost reduction, and simplification of the operational data landscape. Partner cross functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co selling motions with key ISVs and GSIs. Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organisation. What we look for Extensive enterprise SaaS sales experience, consistently exceeding quota in complex, multi stakeholder deals. Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders. Strong understanding of modern data and application architectures, including cloud native services, microservices, event driven systems, and how operational data underpins AI and analytics strategies. Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line of business owners). Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities. Executive presence with the ability to whiteboard architectures, lead C level conversations, and build trust with senior decision makers. Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes. Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
I have some great opportunities with a growing Architecture practice that are currently looking to arrange interviews for both experienced Architects and Architectural Technicians/Technologists ideally with experience in using Revit and experienced working on large scale Commercial schemes. The company primarily work across multiple sectors and due to being awarded an exciting large scale Commercial scheme this truly is a great opportunity to join a thriving practice at a period of further expansion working on both sustainably focused and complex projects across Commercial, Residential, Mixed use and Education schemes in a growing practice, where you will have an involved role working across RIBA stages 2-6. To be considered for this role you must be strong technically and hold a comprehensive knowledge of UK building regulations. Experience in Revit is highly desirable for this role and experience working on large schemes would also be highly advantageous although not essential. You will have the opportunity to take ownership of your work and played an involved role in a technical running capacity with opportunities to visit site. Benefits include flexi hours, long term career opportunities and development, plus a great benefits package. A competitive salary of 45,000- 55,000 is on offer DOE. Looking to interview soon and can start the right individual asap if you are available sooner, so if you are interested to apply or find out more please do not delay in sending through your CV and portfolio. Designed Search is acting as a specialist Architecture employment agency in relation to this vacancy. In accordance with GDPR by applying for this position you give us consent to process your data. All communication will be held in the strictest of confidence. (url removed)/ (phone number removed)
Apr 21, 2026
Full time
I have some great opportunities with a growing Architecture practice that are currently looking to arrange interviews for both experienced Architects and Architectural Technicians/Technologists ideally with experience in using Revit and experienced working on large scale Commercial schemes. The company primarily work across multiple sectors and due to being awarded an exciting large scale Commercial scheme this truly is a great opportunity to join a thriving practice at a period of further expansion working on both sustainably focused and complex projects across Commercial, Residential, Mixed use and Education schemes in a growing practice, where you will have an involved role working across RIBA stages 2-6. To be considered for this role you must be strong technically and hold a comprehensive knowledge of UK building regulations. Experience in Revit is highly desirable for this role and experience working on large schemes would also be highly advantageous although not essential. You will have the opportunity to take ownership of your work and played an involved role in a technical running capacity with opportunities to visit site. Benefits include flexi hours, long term career opportunities and development, plus a great benefits package. A competitive salary of 45,000- 55,000 is on offer DOE. Looking to interview soon and can start the right individual asap if you are available sooner, so if you are interested to apply or find out more please do not delay in sending through your CV and portfolio. Designed Search is acting as a specialist Architecture employment agency in relation to this vacancy. In accordance with GDPR by applying for this position you give us consent to process your data. All communication will be held in the strictest of confidence. (url removed)/ (phone number removed)
MUST HAVE ACTIVE SC CLEARANCESenior Technical Architect (Salesforce) 3-month contract (possible extension) £700-£800 per day - Inside IR35 Full time - 1 day per week in Cardiff, London or Glasgow A Governing Body is seeking an experienced Senior Technical Architect (Salesforce) to provide technical leadership across multiple Salesforce workstreams within a large digital transformation programme. This role sits within a multidisciplinary digital and data function, supporting secure, scalable, and user-centred Salesforce services.The successful candidate will play a key role in shaping technical direction, designing robust Salesforce solutions, and ensuring architectural standards are applied across a complex enterprise environment. This is a critical position for someone with deep Salesforce platform knowledge and strong architectural expertise. Purpose of the Role The Senior Technical Architect will lead the design, assurance, and governance of Salesforce solutions across several programmes. You will define technical architectures, influence delivery teams, and ensure that solutions are secure, scalable, maintainable, and aligned with strategic technology objectives.Key focuses include: Designing end-to-end Salesforce architectures across multiple clouds Ensuring alignment with architectural, security, and data governance standards Supporting integration with enterprise systems and legacy platforms Providing technical leadership and mentoring to engineers and architects Contributing to the organisation's Salesforce architecture community and best-practice standards Key Responsibilities Lead the design and documentation of Salesforce technical solutions, ensuring they meet user and business needs. Provide expert technical assurance across Salesforce implementations and integrations. Define and govern technical standards, reusable patterns, and architecture principles. Design integration patterns for interoperability with enterprise systems and data platforms. Work closely with delivery teams to resolve technical challenges and inform architectural decisions. Mentor technical colleagues and support the development of internal capability. Contribute to Salesforce Centre of Excellence (CoE) activities and community standards. S kills & Experience Required Essential Proven experience designing and leading Salesforce solutions across multiple clouds (Service, Experience, PSS, Core Platform, etc.). Strong understanding of Salesforce architecture, configuration, and technical best practices. Experience designing integration patterns, APIs, and middleware for connecting Salesforce to enterprise systems. Ability to produce and maintain architectural artefacts using tools and frameworks (Archi, ArchiMate, UML, etc.). Experience applying secure design principles, data governance, and architectural assurance. Active SC Clearance (mandatory). Relevant certifications (or ability to obtain within 6 months), such as: Salesforce Technical Architect certifications TOGAF, BCS EA, Zachman, or equivalent architectural qualification Desirable Experience working within public-sector digital standards or assurance frameworks. If you are interested in this opportunity and hold an Active SC Cleqarance, please feel free to apply. Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.
Apr 21, 2026
Seasonal
MUST HAVE ACTIVE SC CLEARANCESenior Technical Architect (Salesforce) 3-month contract (possible extension) £700-£800 per day - Inside IR35 Full time - 1 day per week in Cardiff, London or Glasgow A Governing Body is seeking an experienced Senior Technical Architect (Salesforce) to provide technical leadership across multiple Salesforce workstreams within a large digital transformation programme. This role sits within a multidisciplinary digital and data function, supporting secure, scalable, and user-centred Salesforce services.The successful candidate will play a key role in shaping technical direction, designing robust Salesforce solutions, and ensuring architectural standards are applied across a complex enterprise environment. This is a critical position for someone with deep Salesforce platform knowledge and strong architectural expertise. Purpose of the Role The Senior Technical Architect will lead the design, assurance, and governance of Salesforce solutions across several programmes. You will define technical architectures, influence delivery teams, and ensure that solutions are secure, scalable, maintainable, and aligned with strategic technology objectives.Key focuses include: Designing end-to-end Salesforce architectures across multiple clouds Ensuring alignment with architectural, security, and data governance standards Supporting integration with enterprise systems and legacy platforms Providing technical leadership and mentoring to engineers and architects Contributing to the organisation's Salesforce architecture community and best-practice standards Key Responsibilities Lead the design and documentation of Salesforce technical solutions, ensuring they meet user and business needs. Provide expert technical assurance across Salesforce implementations and integrations. Define and govern technical standards, reusable patterns, and architecture principles. Design integration patterns for interoperability with enterprise systems and data platforms. Work closely with delivery teams to resolve technical challenges and inform architectural decisions. Mentor technical colleagues and support the development of internal capability. Contribute to Salesforce Centre of Excellence (CoE) activities and community standards. S kills & Experience Required Essential Proven experience designing and leading Salesforce solutions across multiple clouds (Service, Experience, PSS, Core Platform, etc.). Strong understanding of Salesforce architecture, configuration, and technical best practices. Experience designing integration patterns, APIs, and middleware for connecting Salesforce to enterprise systems. Ability to produce and maintain architectural artefacts using tools and frameworks (Archi, ArchiMate, UML, etc.). Experience applying secure design principles, data governance, and architectural assurance. Active SC Clearance (mandatory). Relevant certifications (or ability to obtain within 6 months), such as: Salesforce Technical Architect certifications TOGAF, BCS EA, Zachman, or equivalent architectural qualification Desirable Experience working within public-sector digital standards or assurance frameworks. If you are interested in this opportunity and hold an Active SC Cleqarance, please feel free to apply. Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.
DevOps Engineer Imagine a role where your expertise sets technical direction, influences engineering culture, and shapes how modern cloud platforms are built and operated. This is an opportunity to join a forward-thinking organisation where your experience, judgement, and leadership will have a lasting impact. As a DevOps Engineer , you will play a key role in defining and advancing the DevOps strategy across the organisation. Acting as a technical authority, you will partner closely with engineering, product, and architecture teams-both onshore and offshore-to implement best-in-class DevOps practices and evolve a modern, serverless AWS platform. You will have significant influence over tooling, architecture, and ways of working, helping to mature the DevOps function and embedding reliability, security, and automation at scale. Key Responsibilities Provide technical leadership and subject matter expertise across DevOps and cloud engineering Influence architectural and technology decisions, particularly within AWS serverless ecosystems Design, build and evolve robust CI/CD pipelines to support rapid, reliable software delivery Partner with development teams to ensure solutions are scalable, resilient, and production-ready Champion reliability engineering practices, including monitoring, alerting, and incident response Drive high availability and operational excellence through proactive troubleshooting and optimisation Define and enforce Infrastructure as Code (IaC) and Immutable Infrastructure standards Lead and contribute to design reviews, architectural discussions and code reviews Establish strong security practices, ensuring systems and data are protected by design Mentor and support engineers, fostering collaboration, quality, and continuous improvement Stay ahead of emerging DevOps and cloud technologies, introducing improvements where valuable What We're Looking For Significant experience in DevOps or Platform Engineering roles within cloud-native environments Strong software engineering background, preferably with hands-on development experience Ability to balance strategic thinking with hands-on delivery A pragmatic, collaborative approach with excellent communication and stakeholder-management skills A platform-engineering mindset, with deep understanding of trade-offs and designing for failure Strong, hands-on AWS experience, including: Lambda, DynamoDB, AWS SAM Solid networking and security knowledge, including VPCs, security groups and VPNs Technologies You'll Work With AWS Cloud Services & AWS Developer Tools JavaScript / TypeScript & Node.js SQL Git Docker & ECS Serverless Framework Developer security platforms This is a senior-level opportunity to shape platforms, influence engineering standards, and play a central role in delivering high-quality, cloud-native solutions at scale. If you're ready to lead, influence, and build the future of DevOps, we'd love to hear from you.
Apr 21, 2026
Full time
DevOps Engineer Imagine a role where your expertise sets technical direction, influences engineering culture, and shapes how modern cloud platforms are built and operated. This is an opportunity to join a forward-thinking organisation where your experience, judgement, and leadership will have a lasting impact. As a DevOps Engineer , you will play a key role in defining and advancing the DevOps strategy across the organisation. Acting as a technical authority, you will partner closely with engineering, product, and architecture teams-both onshore and offshore-to implement best-in-class DevOps practices and evolve a modern, serverless AWS platform. You will have significant influence over tooling, architecture, and ways of working, helping to mature the DevOps function and embedding reliability, security, and automation at scale. Key Responsibilities Provide technical leadership and subject matter expertise across DevOps and cloud engineering Influence architectural and technology decisions, particularly within AWS serverless ecosystems Design, build and evolve robust CI/CD pipelines to support rapid, reliable software delivery Partner with development teams to ensure solutions are scalable, resilient, and production-ready Champion reliability engineering practices, including monitoring, alerting, and incident response Drive high availability and operational excellence through proactive troubleshooting and optimisation Define and enforce Infrastructure as Code (IaC) and Immutable Infrastructure standards Lead and contribute to design reviews, architectural discussions and code reviews Establish strong security practices, ensuring systems and data are protected by design Mentor and support engineers, fostering collaboration, quality, and continuous improvement Stay ahead of emerging DevOps and cloud technologies, introducing improvements where valuable What We're Looking For Significant experience in DevOps or Platform Engineering roles within cloud-native environments Strong software engineering background, preferably with hands-on development experience Ability to balance strategic thinking with hands-on delivery A pragmatic, collaborative approach with excellent communication and stakeholder-management skills A platform-engineering mindset, with deep understanding of trade-offs and designing for failure Strong, hands-on AWS experience, including: Lambda, DynamoDB, AWS SAM Solid networking and security knowledge, including VPCs, security groups and VPNs Technologies You'll Work With AWS Cloud Services & AWS Developer Tools JavaScript / TypeScript & Node.js SQL Git Docker & ECS Serverless Framework Developer security platforms This is a senior-level opportunity to shape platforms, influence engineering standards, and play a central role in delivering high-quality, cloud-native solutions at scale. If you're ready to lead, influence, and build the future of DevOps, we'd love to hear from you.
Senior Software Engineer Central London £85,000 plus 10% bonus and benefits 2 days in the office This is a chance to step into a senior, hands on engineering role where you can influence how complex, revenue critical platforms are designed and built. You will play a key part in shaping modern digital products, working closely with experienced leaders and helping to raise engineering standards across the team. The Company They are a well established media and advertising organisation operating at scale across the UK and Europe. The business builds and runs digital platforms that support large, data driven advertising campaigns for a wide range of partners. With significant investment in technology and a growing engineering function, they are focused on modernising their platforms and improving how products are delivered and scaled. The Role Design and build scalable, reliable backend and frontend systems that support internal products used to manage advertising campaigns end to end Act as a senior technical voice within the team, guiding design decisions and challenging the "why" behind solutions Coach and support a small group of developers through code reviews, technical guidance, and collaborative problem solving Work closely with product, architecture, and UX to ensure systems are well thought through and fit for purpose Contribute to improving system architecture, performance, and long term maintainability Take ownership of how problems are approached, prioritised, and solved, rather than simply delivering tasks Your Skills and Experience Strong commercial experience building production ready software in a modern engineering environment Backend experience with Node.js and familiarity with Python, particularly in data or AI related contexts Frontend experience with React and exposure to Next.js Experience working in cloud environments, ideally AWS, with an understanding of scalable architectures Confidence designing systems and thinking through trade offs, priorities, and long term impact A collaborative, proactive mindset with the ability to lead by example and influence others technically What They Offer Salary up to £85,000 plus bonus and a comprehensive benefits package Hybrid working with two days per week in the London office The opportunity to work on complex, high impact systems used at scale Clear scope to influence technical direction and grow your leadership skills without direct line management A supportive engineering culture focused on quality, collaboration, and continuous improvement How to Apply If you are a Senior Software Engineer looking for a role where you can have real technical influence and work on meaningful products, apply now to find out more.
Apr 21, 2026
Full time
Senior Software Engineer Central London £85,000 plus 10% bonus and benefits 2 days in the office This is a chance to step into a senior, hands on engineering role where you can influence how complex, revenue critical platforms are designed and built. You will play a key part in shaping modern digital products, working closely with experienced leaders and helping to raise engineering standards across the team. The Company They are a well established media and advertising organisation operating at scale across the UK and Europe. The business builds and runs digital platforms that support large, data driven advertising campaigns for a wide range of partners. With significant investment in technology and a growing engineering function, they are focused on modernising their platforms and improving how products are delivered and scaled. The Role Design and build scalable, reliable backend and frontend systems that support internal products used to manage advertising campaigns end to end Act as a senior technical voice within the team, guiding design decisions and challenging the "why" behind solutions Coach and support a small group of developers through code reviews, technical guidance, and collaborative problem solving Work closely with product, architecture, and UX to ensure systems are well thought through and fit for purpose Contribute to improving system architecture, performance, and long term maintainability Take ownership of how problems are approached, prioritised, and solved, rather than simply delivering tasks Your Skills and Experience Strong commercial experience building production ready software in a modern engineering environment Backend experience with Node.js and familiarity with Python, particularly in data or AI related contexts Frontend experience with React and exposure to Next.js Experience working in cloud environments, ideally AWS, with an understanding of scalable architectures Confidence designing systems and thinking through trade offs, priorities, and long term impact A collaborative, proactive mindset with the ability to lead by example and influence others technically What They Offer Salary up to £85,000 plus bonus and a comprehensive benefits package Hybrid working with two days per week in the London office The opportunity to work on complex, high impact systems used at scale Clear scope to influence technical direction and grow your leadership skills without direct line management A supportive engineering culture focused on quality, collaboration, and continuous improvement How to Apply If you are a Senior Software Engineer looking for a role where you can have real technical influence and work on meaningful products, apply now to find out more.
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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Apr 21, 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.
Data & AI Strategy Consultant - Active SC £Market Rate per day Hybrid 4 weeks initially My client is an instantly recognisable consultancy who require Data & AI Strategy Consultants for a business-critical programme for a client within the Public Sector. Key Requirements: Proven commercial experience Consulting experience from a Strategy perspective within the Data & AI space. Active SC Clearance. Experience leading discovery and strategy engagements with senior stakeholders, translating complex business and operational challenges into clear AI, data, and ontology-enabled strategies, including prioritised use cases and value-driven roadmaps. The ability to define target-state architectures and operating models covering AI, data, and information domains, including semantic/ontology-driven information architecture, platform requirements, and integration with wider enterprise landscapes. Experience shaping the strategic case for change, developing high-level business cases, investment options, and phased delivery plans that articulate value, risks, dependencies, and readiness for implementation in regulated environments. The ability to provide deep technical and architectural insight across modern AI/ML (including GenAI), data platforms, knowledge graphs, and semantic technologies (e.g. ontologies, standards, governance), ensuring recommendations are practical, secure, and future proof. Strong advisory experience with governance, standards, and responsible adoption, defining principles for AI, data, and ontology lifecycle management, ownership, interoperability, and compliance within security-cleared or highly regulated contexts. The ability to collaborate across client and partner teams (architecture, data, delivery, change) to ensure strategy outputs are coherent, adoptable, and ready to transition into delivery, while clearly communicating complex concepts to non-technical leaders. Nice to have: Immediate availability. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Apr 21, 2026
Contractor
Data & AI Strategy Consultant - Active SC £Market Rate per day Hybrid 4 weeks initially My client is an instantly recognisable consultancy who require Data & AI Strategy Consultants for a business-critical programme for a client within the Public Sector. Key Requirements: Proven commercial experience Consulting experience from a Strategy perspective within the Data & AI space. Active SC Clearance. Experience leading discovery and strategy engagements with senior stakeholders, translating complex business and operational challenges into clear AI, data, and ontology-enabled strategies, including prioritised use cases and value-driven roadmaps. The ability to define target-state architectures and operating models covering AI, data, and information domains, including semantic/ontology-driven information architecture, platform requirements, and integration with wider enterprise landscapes. Experience shaping the strategic case for change, developing high-level business cases, investment options, and phased delivery plans that articulate value, risks, dependencies, and readiness for implementation in regulated environments. The ability to provide deep technical and architectural insight across modern AI/ML (including GenAI), data platforms, knowledge graphs, and semantic technologies (e.g. ontologies, standards, governance), ensuring recommendations are practical, secure, and future proof. Strong advisory experience with governance, standards, and responsible adoption, defining principles for AI, data, and ontology lifecycle management, ownership, interoperability, and compliance within security-cleared or highly regulated contexts. The ability to collaborate across client and partner teams (architecture, data, delivery, change) to ensure strategy outputs are coherent, adoptable, and ready to transition into delivery, while clearly communicating complex concepts to non-technical leaders. Nice to have: Immediate availability. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk
Role: Network & Security Engineer - CISCO / ISE Contract Rate: £380 - £420 per day PAYE - Inside IR35 Contract Role: 6 months Location: Didcot - Oxfordshire Hybrid role 3 days on site / 2 WFH ROLE OVERVIEW Our client are looking for an experienced, fully hands-on Level 3 engineer to strengthen our infrastructure and network security operations capability. This is a senior technical delivery role - not a design-only or advisory position. You will be expected to configure, troubleshoot, and resolve complex issues across Cisco security suite, networking, security appliances, server infrastructure, and hybrid-cloud connectivity with minimal supervision. The environment spans a multi-building campus network, data-centre infrastructure, SD-WAN fabric, cloud gateway controllers, and enterprise security platforms. You will work closely with leaders in IT Operations to maintain service availability and to assist in fast tracking their infrastructure transformation. KEY RESPONSIBILITIES Network Engineering & Operations Configure, deploy, and troubleshoot campus and data-centre 100Gbps switching Execute network switch rollouts including hardware racking, cabling to standard, patch-panel termination, and fibre patching. Perform structured cabinet clean-ups: re-patching copper and fibre runs, labelling, cable management, and documentation updates. Support and maintain the eBGP routing fabric across multiple sites Configure and monitor QoS profiles for mixed multigigabit, 10G/100G, and uplink interfaces. Security Infrastructure Fast track our implementation of a 5 node Cisco Identity Services Engine (ISE) build for 802.1X, RADIUS, MAB, and posture policy enforcement. Manage Cisco Secure Email (formerly IronPort/ESA) including message tracking, content filters, outbreak filters, DLP policies, and quarantine management. Support enterprise firewall platforms including rule-set changes, tunnel maintenance, and policy audits. SD-WAN & Hybrid Cloud Support and maintain Cisco SD-WAN (vManage/vSmart/vBond) fabric, including device onboarding, template management, and policy configuration. Assist with Cloud OnRamp for Multicloud connectivity (AWS / Azure), including gateway controller health checks and tunnel monitoring. Troubleshoot overlay/underlay issues, BFD sessions, OMP route propagation, and control-plane connectivity. Server & Infrastructure Maintenance Perform scheduled server patching and updates across Windows Server environments Apply Linux server updates and patches where required (Ubuntu) - desirable but not essential. Support virtualisation platforms (Proxmox) for routine maintenance tasks during out-of-hours windows. Documentation & Standards Maintain accurate network diagrams, IP address management records, and change-log documentation. Follow and contribute to standard operating procedures, change-management processes, and post-implementation reviews. Provide clear handover notes and shift reports for weekday engineering teams. ESSENTIAL REQUIREMENTS CCNP Routing & Switching / Enterprise (current or expired with demonstrable expert-level knowledge). Strong hands-on experience with Cisco ISE deployment, policy configuration, and troubleshooting. Proven experience administering Cisco Secure Email / IronPort (ESA/SMA). Solid working knowledge of enterprise firewall management (Cisco ASA, Firepower/FTD, or comparable). Experience with Cisco SD-WAN (Viptela) architecture, including vManage operations and C8000-series router onboarding. ENSDWI trained or demonstrably operating at that level across SD-WAN, security, and wireless integration. Comfortable with physical infrastructure work: racking, stacking, copper/fibre patching, and cabinet standards. Windows Server patching and administration experience. Methodical approach to change management and documentation. Willing to work on-site at Milton Park on a weekend or flexible shift pattern as outlined above. DESIRABLE SKILLS Linux server administration (Ubuntu) - patching, package management, systemd services. Cisco CCIE written or lab (any track) - indicative of depth of knowledge. Experience with hybrid-cloud gateway controllers and Cloud OnRamp (AWS, Azure). Virtualisation platform experience (Proxmox). Familiarity with network observability and monitoring tooling (e.g., Datadog). Scripting/automation skills (Ansible, PowerShell) for network or server tasks. INDIT Planet Recruitment acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Planet Recruitment is an Equal Opportunities Employer. By applying for this role your details will be submitted to Planet Recruitment. Our Candidate Privacy Information Statement explains how we will use your information. Only candidates with the relevant skills and experience will be contacted after application, if you do not hear back from us within 7 days you have unfortunately been unsuccessful in your application. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the position.
Apr 21, 2026
Full time
Role: Network & Security Engineer - CISCO / ISE Contract Rate: £380 - £420 per day PAYE - Inside IR35 Contract Role: 6 months Location: Didcot - Oxfordshire Hybrid role 3 days on site / 2 WFH ROLE OVERVIEW Our client are looking for an experienced, fully hands-on Level 3 engineer to strengthen our infrastructure and network security operations capability. This is a senior technical delivery role - not a design-only or advisory position. You will be expected to configure, troubleshoot, and resolve complex issues across Cisco security suite, networking, security appliances, server infrastructure, and hybrid-cloud connectivity with minimal supervision. The environment spans a multi-building campus network, data-centre infrastructure, SD-WAN fabric, cloud gateway controllers, and enterprise security platforms. You will work closely with leaders in IT Operations to maintain service availability and to assist in fast tracking their infrastructure transformation. KEY RESPONSIBILITIES Network Engineering & Operations Configure, deploy, and troubleshoot campus and data-centre 100Gbps switching Execute network switch rollouts including hardware racking, cabling to standard, patch-panel termination, and fibre patching. Perform structured cabinet clean-ups: re-patching copper and fibre runs, labelling, cable management, and documentation updates. Support and maintain the eBGP routing fabric across multiple sites Configure and monitor QoS profiles for mixed multigigabit, 10G/100G, and uplink interfaces. Security Infrastructure Fast track our implementation of a 5 node Cisco Identity Services Engine (ISE) build for 802.1X, RADIUS, MAB, and posture policy enforcement. Manage Cisco Secure Email (formerly IronPort/ESA) including message tracking, content filters, outbreak filters, DLP policies, and quarantine management. Support enterprise firewall platforms including rule-set changes, tunnel maintenance, and policy audits. SD-WAN & Hybrid Cloud Support and maintain Cisco SD-WAN (vManage/vSmart/vBond) fabric, including device onboarding, template management, and policy configuration. Assist with Cloud OnRamp for Multicloud connectivity (AWS / Azure), including gateway controller health checks and tunnel monitoring. Troubleshoot overlay/underlay issues, BFD sessions, OMP route propagation, and control-plane connectivity. Server & Infrastructure Maintenance Perform scheduled server patching and updates across Windows Server environments Apply Linux server updates and patches where required (Ubuntu) - desirable but not essential. Support virtualisation platforms (Proxmox) for routine maintenance tasks during out-of-hours windows. Documentation & Standards Maintain accurate network diagrams, IP address management records, and change-log documentation. Follow and contribute to standard operating procedures, change-management processes, and post-implementation reviews. Provide clear handover notes and shift reports for weekday engineering teams. ESSENTIAL REQUIREMENTS CCNP Routing & Switching / Enterprise (current or expired with demonstrable expert-level knowledge). Strong hands-on experience with Cisco ISE deployment, policy configuration, and troubleshooting. Proven experience administering Cisco Secure Email / IronPort (ESA/SMA). Solid working knowledge of enterprise firewall management (Cisco ASA, Firepower/FTD, or comparable). Experience with Cisco SD-WAN (Viptela) architecture, including vManage operations and C8000-series router onboarding. ENSDWI trained or demonstrably operating at that level across SD-WAN, security, and wireless integration. Comfortable with physical infrastructure work: racking, stacking, copper/fibre patching, and cabinet standards. Windows Server patching and administration experience. Methodical approach to change management and documentation. Willing to work on-site at Milton Park on a weekend or flexible shift pattern as outlined above. DESIRABLE SKILLS Linux server administration (Ubuntu) - patching, package management, systemd services. Cisco CCIE written or lab (any track) - indicative of depth of knowledge. Experience with hybrid-cloud gateway controllers and Cloud OnRamp (AWS, Azure). Virtualisation platform experience (Proxmox). Familiarity with network observability and monitoring tooling (e.g., Datadog). Scripting/automation skills (Ansible, PowerShell) for network or server tasks. INDIT Planet Recruitment acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Planet Recruitment is an Equal Opportunities Employer. By applying for this role your details will be submitted to Planet Recruitment. Our Candidate Privacy Information Statement explains how we will use your information. Only candidates with the relevant skills and experience will be contacted after application, if you do not hear back from us within 7 days you have unfortunately been unsuccessful in your application. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the position.
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.
Apr 21, 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.
Apr 21, 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.
Principal Enterprise Architect Salary : National: £67,730 - £75,480; London: £73,165 - £81,535 Location : London, Bristol, York (Must be based at one of these locations) Job Type : Permanent A new exciting permanent opportunity has become available to join a leading public sector, civil service business as they're looking to hire three Principal Enterprise Architects to play a pivotal role in safeguarding their natural environment and support a thriving rural economy. This position offers a unique opportunity to lead and influence the strategic direction of digital, data, technology, and security initiatives across the business. Day-to-Day of the Role: Lead the enterprise architecture strategy within your domain, ensuring alignment with business goals. Manage a team of architects and oversee the engagement with contractors to meet specific project demands. Act as the technical design authority, influencing budget decisions and spending within the digital domain. Communicate effectively with senior stakeholders across the business, identifying and seizing opportunities for technological and process improvements. Utilize best practices and emerging technologies to guide the architectural vision and strategic roadmaps. Support the development of business investment cases and the application of industry-standard architectural principles. Required Skills & Qualifications: Broad IT experience with significant experience in a leading enterprise architectural role, environment. Proficiency in using modelling tools and documenting processes. Experience with AWS and/or Azure cloud platforms. A technical degree or equivalent experience. Membership in a professional body such as the British Computer Society or Chartered IT Professional (CITP) status is desirable. Benefits: Generous Civil Service pension with an employer contribution of 28.97%. 25 days annual leave, increasing to 30 days after 5 years, plus bank holidays. Flexible working options including part-time, job share, and flexi-time. Access to a range of retail discounts and a health cash plan. Professional development opportunities with funding for training. Inclusive and diverse work culture with support for wellbeing through free access to Headspace and an Employee Assistance Programme. To apply for the Principal Enterprise Architect position, please submit your CV to be considered immediately.
Apr 21, 2026
Full time
Principal Enterprise Architect Salary : National: £67,730 - £75,480; London: £73,165 - £81,535 Location : London, Bristol, York (Must be based at one of these locations) Job Type : Permanent A new exciting permanent opportunity has become available to join a leading public sector, civil service business as they're looking to hire three Principal Enterprise Architects to play a pivotal role in safeguarding their natural environment and support a thriving rural economy. This position offers a unique opportunity to lead and influence the strategic direction of digital, data, technology, and security initiatives across the business. Day-to-Day of the Role: Lead the enterprise architecture strategy within your domain, ensuring alignment with business goals. Manage a team of architects and oversee the engagement with contractors to meet specific project demands. Act as the technical design authority, influencing budget decisions and spending within the digital domain. Communicate effectively with senior stakeholders across the business, identifying and seizing opportunities for technological and process improvements. Utilize best practices and emerging technologies to guide the architectural vision and strategic roadmaps. Support the development of business investment cases and the application of industry-standard architectural principles. Required Skills & Qualifications: Broad IT experience with significant experience in a leading enterprise architectural role, environment. Proficiency in using modelling tools and documenting processes. Experience with AWS and/or Azure cloud platforms. A technical degree or equivalent experience. Membership in a professional body such as the British Computer Society or Chartered IT Professional (CITP) status is desirable. Benefits: Generous Civil Service pension with an employer contribution of 28.97%. 25 days annual leave, increasing to 30 days after 5 years, plus bank holidays. Flexible working options including part-time, job share, and flexi-time. Access to a range of retail discounts and a health cash plan. Professional development opportunities with funding for training. Inclusive and diverse work culture with support for wellbeing through free access to Headspace and an Employee Assistance Programme. To apply for the Principal Enterprise Architect position, please submit your CV to be considered immediately.
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.
Apr 21, 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools) Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.
Apr 21, 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools) Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools) Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.
Apr 21, 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. As a Senior Developer, you will design, build, and scale an AI Operations platform supporting Sky and NBCUniversal. You will focus on alert ingestion, correlation, and intelligent automation using full-stack development, machine learning, and Generative AI (GenAI). What you'll do Design, build and maintain full-stack software solutions using Golang and Python, spanning services, APIs and automation components Contribute to the architecture and evolution of Sky's AI Operations platform, shaping intelligent automation and large-scale operational workflows Develop and operate cloud-native systems on AWS, including automated testing frameworks, CI/CD pipelines and environment validation Build reliable alerting, correlation and automation capabilities that support high-scale streaming and live service environments Produce high-quality technical documentation, covering design decisions, configuration, deployment processes and operational runbooks Collaborate closely with engineers, product teams and operational stakeholders to deliver robust, scalable and observable systems Troubleshoot complex distributed systems, identifying root causes and driving continuous improvement across the platform Mentor engineers through code reviews, design discussions and technical guidance, supporting a culture of engineering excellence What you'll bring Strong experience in software engineering within cloud or platform environments, ideally with exposure to IaC, observability and automation tooling Proficiency with Golang and/or Python, alongside experience building APIs, backend services and distributed systems Solid understanding of data technologies such as MongoDB or Postgres, including schema design, optimisation and operational considerations Experience applying AI, ML or algorithmic techniques within software platforms, automation pipelines or operational tooling Strong knowledge of RESTful API design, integration patterns and modern automation approaches (including low-code/no-code tools) Ability to create and maintain clear technical documentation and architectural artefacts, supporting knowledge-sharing and change management A track record of solving complex engineering challenges, introducing innovative ideas and influencing technical direction within a team or platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming 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. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts 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.
