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.
May 12, 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.
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.
May 12, 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.
NMS Recruit Ltd t/a Russell Taylor Group
City, Manchester
Senior Architect Healthcare Manchester About the role Our client is an internationally recognised architectural practice with a long-standing reputation for delivering innovative, people-centred healthcare environments across the UK and internationally. Due to continued growth within their Health + Care sector, they are seeking a talented Senior Architect to join their established healthcare team in either Manchester or London. This is an exciting opportunity to contribute to the design and delivery of transformative healthcare projects ranging from major acute hospitals and specialist care facilities to clinical research environments, community health hubs, diagnostic centres, and healthcare masterplans. Working within a highly collaborative multidisciplinary environment, you will play a key role in leading project packages, developing design concepts, coordinating technical delivery, and supporting the next generation of architects within the studio. You will work closely with clients, consultants, contractors, and healthcare stakeholders to help deliver innovative, technically robust, and future-focused healthcare environments. About the practice Our client is a leading UK architectural practice recognised for design excellence, technical innovation, and the delivery of complex, high-profile projects across healthcare, residential, workplace, education, hospitality, and mixed-use sectors. The healthcare team has been at the forefront of health and care design for several decades, delivering award-winning projects that respond to evolving models of care, technological advancements, sustainability ambitions, and patient wellbeing priorities. The practice fosters a collaborative and research-driven culture where creativity, innovation, and professional development are actively encouraged. Employees are supported through mentoring, structured learning opportunities, and exposure to some of the most significant healthcare developments currently being delivered in the UK. Key responsibilities Lead and contribute to the design and technical delivery of healthcare projects across multiple RIBA stages. Develop innovative architectural solutions that respond to complex healthcare planning and operational requirements. Coordinate multidisciplinary teams to ensure highly integrated and technically resolved project delivery. Participate in client meetings, user group consultations, and stakeholder engagement sessions. Support the preparation of presentations, reports, technical packages, and design documentation. Mentor and support junior architects and assistants within the healthcare team. Contribute to research, innovation, and best practice within healthcare design. Assist in maintaining strong client relationships and supporting business development activities where appropriate. About you You will be a talented and motivated ARB-qualified Architect with strong post-qualification experience within the healthcare sector. Your portfolio will demonstrate a combination of excellent design ability, technical competence, and project delivery experience across complex healthcare environments. As a successful candidate, you will ideally demonstrate: Proven experience working on healthcare projects within the UK, ideally including NHS projects. Experience across a range of healthcare typologies such as acute hospitals, outpatient facilities, research environments, mental health, or community healthcare projects. Strong design, technical detailing, and project coordination skills. Knowledge of UK healthcare guidance, standards, and regulations including HTMs and HBNs. Experience working collaboratively with multidisciplinary consultant teams and stakeholder groups. Confidence presenting design proposals to clients and user groups. Strong communication and organisational skills with the ability to manage competing priorities effectively. Experience mentoring junior team members within a collaborative studio setting. High proficiency in BIM workflows, with strong Revit skills preferred. Experience using Adobe Creative Suite, SketchUp, and visualisation tools would be beneficial. What's on offer In return, our client offers the opportunity to work within one of the UK's leading architectural practices on some of the most significant healthcare projects in the sector. You will benefit from: Exposure to high-profile and technically complex healthcare projects. Clear opportunities for career progression and professional development. Structured mentoring and CPD support. A collaborative and inclusive studio culture. Competitive salary and comprehensive benefits package. Flexible and hybrid working arrangements. Private healthcare and wellbeing support initiatives. Social, cultural, and charitable studio events. The opportunity to contribute to research-led and innovative healthcare design solutions. This is an excellent opportunity for a passionate Senior Architect looking to play a key role in shaping the future of healthcare environments within a highly respected and design-led practice. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Russell Taylor will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us here.
May 12, 2026
Full time
Senior Architect Healthcare Manchester About the role Our client is an internationally recognised architectural practice with a long-standing reputation for delivering innovative, people-centred healthcare environments across the UK and internationally. Due to continued growth within their Health + Care sector, they are seeking a talented Senior Architect to join their established healthcare team in either Manchester or London. This is an exciting opportunity to contribute to the design and delivery of transformative healthcare projects ranging from major acute hospitals and specialist care facilities to clinical research environments, community health hubs, diagnostic centres, and healthcare masterplans. Working within a highly collaborative multidisciplinary environment, you will play a key role in leading project packages, developing design concepts, coordinating technical delivery, and supporting the next generation of architects within the studio. You will work closely with clients, consultants, contractors, and healthcare stakeholders to help deliver innovative, technically robust, and future-focused healthcare environments. About the practice Our client is a leading UK architectural practice recognised for design excellence, technical innovation, and the delivery of complex, high-profile projects across healthcare, residential, workplace, education, hospitality, and mixed-use sectors. The healthcare team has been at the forefront of health and care design for several decades, delivering award-winning projects that respond to evolving models of care, technological advancements, sustainability ambitions, and patient wellbeing priorities. The practice fosters a collaborative and research-driven culture where creativity, innovation, and professional development are actively encouraged. Employees are supported through mentoring, structured learning opportunities, and exposure to some of the most significant healthcare developments currently being delivered in the UK. Key responsibilities Lead and contribute to the design and technical delivery of healthcare projects across multiple RIBA stages. Develop innovative architectural solutions that respond to complex healthcare planning and operational requirements. Coordinate multidisciplinary teams to ensure highly integrated and technically resolved project delivery. Participate in client meetings, user group consultations, and stakeholder engagement sessions. Support the preparation of presentations, reports, technical packages, and design documentation. Mentor and support junior architects and assistants within the healthcare team. Contribute to research, innovation, and best practice within healthcare design. Assist in maintaining strong client relationships and supporting business development activities where appropriate. About you You will be a talented and motivated ARB-qualified Architect with strong post-qualification experience within the healthcare sector. Your portfolio will demonstrate a combination of excellent design ability, technical competence, and project delivery experience across complex healthcare environments. As a successful candidate, you will ideally demonstrate: Proven experience working on healthcare projects within the UK, ideally including NHS projects. Experience across a range of healthcare typologies such as acute hospitals, outpatient facilities, research environments, mental health, or community healthcare projects. Strong design, technical detailing, and project coordination skills. Knowledge of UK healthcare guidance, standards, and regulations including HTMs and HBNs. Experience working collaboratively with multidisciplinary consultant teams and stakeholder groups. Confidence presenting design proposals to clients and user groups. Strong communication and organisational skills with the ability to manage competing priorities effectively. Experience mentoring junior team members within a collaborative studio setting. High proficiency in BIM workflows, with strong Revit skills preferred. Experience using Adobe Creative Suite, SketchUp, and visualisation tools would be beneficial. What's on offer In return, our client offers the opportunity to work within one of the UK's leading architectural practices on some of the most significant healthcare projects in the sector. You will benefit from: Exposure to high-profile and technically complex healthcare projects. Clear opportunities for career progression and professional development. Structured mentoring and CPD support. A collaborative and inclusive studio culture. Competitive salary and comprehensive benefits package. Flexible and hybrid working arrangements. Private healthcare and wellbeing support initiatives. Social, cultural, and charitable studio events. The opportunity to contribute to research-led and innovative healthcare design solutions. This is an excellent opportunity for a passionate Senior Architect looking to play a key role in shaping the future of healthcare environments within a highly respected and design-led practice. Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, Russell Taylor will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us here.
Senior Developer - FX Options Risk & Valuation Systems We are seeking a highly capable Senior Developer to join our Front Office FX Options Technology team. This role involves hands-on work in building and enhancing systems used by the global FX Options Trading desk for risk, valuation, and real-time decision support. You will be working directly with Trading, Quant, and Technology colleagues across London, Hong Kong, and New York, contributing to a modern technology stack that includes TypeScript/React UI, C# services, PostgreSQL, and pricing services integrating with quant libraries. Required Skills & Qualifications: Strong experience in C# and modern backend development. Solid understanding of TypeScript and React. Proficiency with PostgreSQL or similar relational databases. Experience integrating with quant libraries, pricing engines, or other computational services. Ability to operate effectively in a front-office or similarly fast-paced environment. Comfortable working with incomplete requirements and driving clarity through discussion. Strong communication skills and willingness to engage directly with Trading and Quants. Ability to deliver both quick tactical fixes and well-designed strategic solutions. Nice to Have: Experience in FX, options, or other derivatives. Familiarity with risk systems, valuation concepts, or market data. Experience with distributed systems or real-time data processing. Prior exposure to global teams and cross-time-zone collaboration. Day-to-day of the role: React / TypeScript UI (20%): Real-time risk visualisation, scenario tools, trader workflows. C# Backend Services (30%): Pricing requests, risk aggregation, workflow orchestration. PostgreSQL (20%): Schema design, performance tuning, data modelling. Pricing Services / Quant Integration (30%): Interfacing with quant libraries, valuation logic, market data usage. The work includes small, fast-turnaround changes driven by trading needs and occasional larger initiatives requiring structured planning. You will often deliver a minimal viable change first, followed by strategic enhancements. Key Responsibilities: Deliver high-quality features and enhancements across UI, services, and pricing components. Work closely with the Team Lead, Traders, Quants, and other developers to clarify requirements. Break down ambiguous or high-level Jira tickets into actionable technical tasks. Design pragmatic solutions that balance speed, robustness, and long-term maintainability. Participate in code reviews, knowledge sharing, and architectural discussions. Support production systems, including participation in the on-call rota. Contribute to an inclusive, collaborative team culture. What We Offer: High-impact role with direct exposure to the trading business. Modern technology stack and greenfield-style development within a live system. Inclusive team culture where contributions are valued. Opportunities for technical leadership and ownership. To apply for this Senior Developer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in this role.
May 12, 2026
Contractor
Senior Developer - FX Options Risk & Valuation Systems We are seeking a highly capable Senior Developer to join our Front Office FX Options Technology team. This role involves hands-on work in building and enhancing systems used by the global FX Options Trading desk for risk, valuation, and real-time decision support. You will be working directly with Trading, Quant, and Technology colleagues across London, Hong Kong, and New York, contributing to a modern technology stack that includes TypeScript/React UI, C# services, PostgreSQL, and pricing services integrating with quant libraries. Required Skills & Qualifications: Strong experience in C# and modern backend development. Solid understanding of TypeScript and React. Proficiency with PostgreSQL or similar relational databases. Experience integrating with quant libraries, pricing engines, or other computational services. Ability to operate effectively in a front-office or similarly fast-paced environment. Comfortable working with incomplete requirements and driving clarity through discussion. Strong communication skills and willingness to engage directly with Trading and Quants. Ability to deliver both quick tactical fixes and well-designed strategic solutions. Nice to Have: Experience in FX, options, or other derivatives. Familiarity with risk systems, valuation concepts, or market data. Experience with distributed systems or real-time data processing. Prior exposure to global teams and cross-time-zone collaboration. Day-to-day of the role: React / TypeScript UI (20%): Real-time risk visualisation, scenario tools, trader workflows. C# Backend Services (30%): Pricing requests, risk aggregation, workflow orchestration. PostgreSQL (20%): Schema design, performance tuning, data modelling. Pricing Services / Quant Integration (30%): Interfacing with quant libraries, valuation logic, market data usage. The work includes small, fast-turnaround changes driven by trading needs and occasional larger initiatives requiring structured planning. You will often deliver a minimal viable change first, followed by strategic enhancements. Key Responsibilities: Deliver high-quality features and enhancements across UI, services, and pricing components. Work closely with the Team Lead, Traders, Quants, and other developers to clarify requirements. Break down ambiguous or high-level Jira tickets into actionable technical tasks. Design pragmatic solutions that balance speed, robustness, and long-term maintainability. Participate in code reviews, knowledge sharing, and architectural discussions. Support production systems, including participation in the on-call rota. Contribute to an inclusive, collaborative team culture. What We Offer: High-impact role with direct exposure to the trading business. Modern technology stack and greenfield-style development within a live system. Inclusive team culture where contributions are valued. Opportunities for technical leadership and ownership. To apply for this Senior Developer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in this role.
Gillespie Recruitment Ltd
Newcastle Upon Tyne, Tyne And Wear
Are you a senior-level Full Stack Developer who thrives on solving complex problems and turning innovative ideas into powerful, real-world applications? Do you enjoy working with Python at scale, shaping user-focused web platforms, and having genuine influence over technical direction and product development? Looking for a permanent opportunity where your expertise is valued, your voice is heard, and you can help build cutting-edge tools within a growing, purpose-driven organisation? Gillespie Recruitment are delighted to be working on behalf of an innovative and rapidly scaling technology business to recruit an experienced Senior Python Full Stack Developer based in Newcastle upon Tyne. This is an exciting opportunity to join a forward-thinking organisation developing world-leading tools, where collaboration, flexibility, and technical excellence sit at the heart of everything they do. The Role As Senior Python Full Stack Developer, you'll be a key member of the Full Stack Development team, working closely with the Lead Full Stack Developer to bring sophisticated engineering tools to life through intuitive, high-performance web applications. You'll be involved across the full software lifecycle - from system architecture and cloud design through to development, deployment, and optimisation. Alongside hands-on development, you'll play an important role in mentoring junior colleagues, shaping future R&D initiatives, and contributing to the organisation's growing presence within the industry. This role is ideal for someone with a proactive, "can-do" mindset who enjoys balancing technical depth with creativity, teamwork, and real ownership. Key Responsibilities Taking initiative on robust software product development, including developing, deploying, and maintaining cloud-based web applications Designing full system structures, including workflows, databases, and cloud architectures Creating an exceptional user experience for advanced engineering tools Developing background daemons and orchestration software to run optimisation algorithms in parallel Identifying and scoping new features and future R&D opportunities Producing technical specifications for external subcontractors and managing those relationships Supporting the development of R&D funding applications and consultancy proposals Coaching and mentoring junior developers Representing the business at conferences, webinars, and industry events About You Essential Skills & Experience Proven experience owning and delivering full stack web applications end-to-end Strong understanding of user-centric design and client experience Solid knowledge of parallel, virtual, cloud computing and Dockerisation Experience developing background services using multiprocessing and multithreading Excellent technical capability across: Python , Flask, MVT architecture SQLAlchemy and ORM principles PostgreSQL and database design Front-end development using HTML, CSS, JavaScript (jQuery, AJAX, DataTables) Jinja2 and Node Package Manager Docker and Docker Python API AWS (ECS, RDS, EFS, EC2, VPC, Firewalls, Boto3 API) Azure DevOps, CI/CD pipelines, repositories Git and source control tools Mapping solutions such as OpenLayers Strong written and verbal communication skills, able to clearly explain technical concepts to non-technical stakeholders Experience delivering complex, uncertain R&D projects Confident conducting high-quality code reviews Desirable Experience with additional languages (e.g. .NET Core) Kubernetes GIS and mapping technologies Background in net-zero or renewable energy engineering environments Model-based engineering knowledge Experience writing successful R&D or consultancy proposals Experience working on international consultancy projects Additional language skills Attributes & Behaviours Professional and confident working with a wide range of stakeholders Collaborative, inquisitive, and solutions-focused Comfortable working independently while contributing fully to a team Discreet, diplomatic, and trustworthy Adaptable, with an understanding that roles evolve in a growing organisation Aligned with strong values around integrity, fairness, trust, and excellence Qualifications Essential Degree in a relevant subject (e.g. Software Development, Computer Science, Mathematics, Engineering) from a reputable institution Right to work in the UK Desirable Relevant CPD or formal certifications (AWS, Python, Front-End Development, Cyber Security, etc.) CPD or qualifications linked to the net-zero or energy transition sector What's on Offer Permanent position Salary between £42,000 - £62,000, depending on experience Newcastle upon Tyne-based role Opportunity to work on truly innovative, world-leading technology Supportive, collaborative team environment Real scope to influence products, processes, and future direction
May 12, 2026
Full time
Are you a senior-level Full Stack Developer who thrives on solving complex problems and turning innovative ideas into powerful, real-world applications? Do you enjoy working with Python at scale, shaping user-focused web platforms, and having genuine influence over technical direction and product development? Looking for a permanent opportunity where your expertise is valued, your voice is heard, and you can help build cutting-edge tools within a growing, purpose-driven organisation? Gillespie Recruitment are delighted to be working on behalf of an innovative and rapidly scaling technology business to recruit an experienced Senior Python Full Stack Developer based in Newcastle upon Tyne. This is an exciting opportunity to join a forward-thinking organisation developing world-leading tools, where collaboration, flexibility, and technical excellence sit at the heart of everything they do. The Role As Senior Python Full Stack Developer, you'll be a key member of the Full Stack Development team, working closely with the Lead Full Stack Developer to bring sophisticated engineering tools to life through intuitive, high-performance web applications. You'll be involved across the full software lifecycle - from system architecture and cloud design through to development, deployment, and optimisation. Alongside hands-on development, you'll play an important role in mentoring junior colleagues, shaping future R&D initiatives, and contributing to the organisation's growing presence within the industry. This role is ideal for someone with a proactive, "can-do" mindset who enjoys balancing technical depth with creativity, teamwork, and real ownership. Key Responsibilities Taking initiative on robust software product development, including developing, deploying, and maintaining cloud-based web applications Designing full system structures, including workflows, databases, and cloud architectures Creating an exceptional user experience for advanced engineering tools Developing background daemons and orchestration software to run optimisation algorithms in parallel Identifying and scoping new features and future R&D opportunities Producing technical specifications for external subcontractors and managing those relationships Supporting the development of R&D funding applications and consultancy proposals Coaching and mentoring junior developers Representing the business at conferences, webinars, and industry events About You Essential Skills & Experience Proven experience owning and delivering full stack web applications end-to-end Strong understanding of user-centric design and client experience Solid knowledge of parallel, virtual, cloud computing and Dockerisation Experience developing background services using multiprocessing and multithreading Excellent technical capability across: Python , Flask, MVT architecture SQLAlchemy and ORM principles PostgreSQL and database design Front-end development using HTML, CSS, JavaScript (jQuery, AJAX, DataTables) Jinja2 and Node Package Manager Docker and Docker Python API AWS (ECS, RDS, EFS, EC2, VPC, Firewalls, Boto3 API) Azure DevOps, CI/CD pipelines, repositories Git and source control tools Mapping solutions such as OpenLayers Strong written and verbal communication skills, able to clearly explain technical concepts to non-technical stakeholders Experience delivering complex, uncertain R&D projects Confident conducting high-quality code reviews Desirable Experience with additional languages (e.g. .NET Core) Kubernetes GIS and mapping technologies Background in net-zero or renewable energy engineering environments Model-based engineering knowledge Experience writing successful R&D or consultancy proposals Experience working on international consultancy projects Additional language skills Attributes & Behaviours Professional and confident working with a wide range of stakeholders Collaborative, inquisitive, and solutions-focused Comfortable working independently while contributing fully to a team Discreet, diplomatic, and trustworthy Adaptable, with an understanding that roles evolve in a growing organisation Aligned with strong values around integrity, fairness, trust, and excellence Qualifications Essential Degree in a relevant subject (e.g. Software Development, Computer Science, Mathematics, Engineering) from a reputable institution Right to work in the UK Desirable Relevant CPD or formal certifications (AWS, Python, Front-End Development, Cyber Security, etc.) CPD or qualifications linked to the net-zero or energy transition sector What's on Offer Permanent position Salary between £42,000 - £62,000, depending on experience Newcastle upon Tyne-based role Opportunity to work on truly innovative, world-leading technology Supportive, collaborative team environment Real scope to influence products, processes, and future direction
Job Title: Solutions Architect Salary: £80,000 - £103,000 DOE + Benefits + Hybrid Working Location: London Job description We are currently looking for Solution Architects to join our collaborative team, driving business transformations through strategic insights to enable lasting change through pragmatic use of technology. Contribute to innovation and a mission for a more positive human future in a tech-driven world. Work with our clients to design and deliver their most complex business and technical solutions. Working through the full delivery lifecycle, our Solution Architects bring a hands-on, delivery focus across all domains and leading technologies to our clients. Qualifications As a Solution Architect and technology leader in our Digital & Data team, you will: Work directly with client colleagues to define robust technology solutions based upon our clients' needs. Sometimes you'll even need to help our clients understand what those needs are as they start their digital transformation journey. Many of our clients are FTSE 100 companies, large government departments or critical national infrastructure providers and you can expect to get involved in projects that have genuine impact from day 1. Own, create and assure key architecture artefacts such as: Key Design Decision, Technical Options Paper, High Level Design, Low Level Design, Reference Architecture and Roadmap. To do this, you'll need to deploy a range of consulting and stakeholder management skills to inform, engage and influence colleagues and decision makers from across our client's businesses. Support our client's senior leaders to help shape their case for change, typically leading on cost estimation and supporting creation of detailed planning and benefits realisation for the technology solutions you design. Work closely with Engineering teams, often taking a lead SME role helping to define the vision, establish Architectural Guardrails, Architecture Runways and Detailed Designs as well as unblocking the team as issues arise. Whilst operating as a Solution Architect, you will likely come from a hands-on Software Engineering background with experience leading engineering teams to deliver applications and services, enabling you to quickly build credibility. Rapidly understand and effectively communicate complex technical ideas to board-level business leaders and their teams. You'll use your technical writing and presentation skills to do this supported by productivity tools such as: PowerPoint, Word, Visio Be confident using your architecture skills and experience across the full range of architectural domains, with a specialism in at least one: Business, Data, Application, Technology and Security Bring to bear a clear understanding and practical application of architecture and delivery methodologies such as: TOGAF, Zachmann, MODAF or SAFe Use your understanding and application of architecture modelling tools and frameworks to communicate your ideas: UML, ArchiMate, Ardoq, and others. Design and deliver architecture solutions within governance and target operating models, using a range of ways of working and delivery methodologies: Waterfall, SAFe, Scrum, Kanban Commit yourself to continuous improvement and professional development. Everyone's experience is different so we're not prescriptive about this. Certifications in appropriate methodologies and cloud technologies are advantageous: AWS, Azure, GCP, TOGAF, SAFe Thrive in a trust-based, inclusive environment that values excellence, innovation and curiosity. To support you, we'll provide a number of career accelerators including training opportunities - both business and technical, focused mentoring and the variety of engagements needed to really invest in your consulting skills and take your work to the next level! You are required to be able to work in the UK full time without restriction and be eligible for SC Clearance. If you feel you have the relevant skills and experience required for this role, then please apply to Evolve Recruitment, Kingston upon Thames for more information. Due to the high volume of applications we receive it is not always possible to respond to unsuccessful applicants. Therefore, if we have not responded to your application within five days please assume that on this occasion your application has not been successful.
May 12, 2026
Full time
Job Title: Solutions Architect Salary: £80,000 - £103,000 DOE + Benefits + Hybrid Working Location: London Job description We are currently looking for Solution Architects to join our collaborative team, driving business transformations through strategic insights to enable lasting change through pragmatic use of technology. Contribute to innovation and a mission for a more positive human future in a tech-driven world. Work with our clients to design and deliver their most complex business and technical solutions. Working through the full delivery lifecycle, our Solution Architects bring a hands-on, delivery focus across all domains and leading technologies to our clients. Qualifications As a Solution Architect and technology leader in our Digital & Data team, you will: Work directly with client colleagues to define robust technology solutions based upon our clients' needs. Sometimes you'll even need to help our clients understand what those needs are as they start their digital transformation journey. Many of our clients are FTSE 100 companies, large government departments or critical national infrastructure providers and you can expect to get involved in projects that have genuine impact from day 1. Own, create and assure key architecture artefacts such as: Key Design Decision, Technical Options Paper, High Level Design, Low Level Design, Reference Architecture and Roadmap. To do this, you'll need to deploy a range of consulting and stakeholder management skills to inform, engage and influence colleagues and decision makers from across our client's businesses. Support our client's senior leaders to help shape their case for change, typically leading on cost estimation and supporting creation of detailed planning and benefits realisation for the technology solutions you design. Work closely with Engineering teams, often taking a lead SME role helping to define the vision, establish Architectural Guardrails, Architecture Runways and Detailed Designs as well as unblocking the team as issues arise. Whilst operating as a Solution Architect, you will likely come from a hands-on Software Engineering background with experience leading engineering teams to deliver applications and services, enabling you to quickly build credibility. Rapidly understand and effectively communicate complex technical ideas to board-level business leaders and their teams. You'll use your technical writing and presentation skills to do this supported by productivity tools such as: PowerPoint, Word, Visio Be confident using your architecture skills and experience across the full range of architectural domains, with a specialism in at least one: Business, Data, Application, Technology and Security Bring to bear a clear understanding and practical application of architecture and delivery methodologies such as: TOGAF, Zachmann, MODAF or SAFe Use your understanding and application of architecture modelling tools and frameworks to communicate your ideas: UML, ArchiMate, Ardoq, and others. Design and deliver architecture solutions within governance and target operating models, using a range of ways of working and delivery methodologies: Waterfall, SAFe, Scrum, Kanban Commit yourself to continuous improvement and professional development. Everyone's experience is different so we're not prescriptive about this. Certifications in appropriate methodologies and cloud technologies are advantageous: AWS, Azure, GCP, TOGAF, SAFe Thrive in a trust-based, inclusive environment that values excellence, innovation and curiosity. To support you, we'll provide a number of career accelerators including training opportunities - both business and technical, focused mentoring and the variety of engagements needed to really invest in your consulting skills and take your work to the next level! You are required to be able to work in the UK full time without restriction and be eligible for SC Clearance. If you feel you have the relevant skills and experience required for this role, then please apply to Evolve Recruitment, Kingston upon Thames for more information. Due to the high volume of applications we receive it is not always possible to respond to unsuccessful applicants. Therefore, if we have not responded to your application within five days please assume that on this occasion your application has not been successful.
Senior Data Engineer - Insurance & London Market - Up to £95k Location: London (Hybrid) Type: Permanent Overview A London Market insurance organisation is seeking a Senior Data Engineer to design, build, and lead modern data engineering solutions across underwriting, pricing, claims, and reinsurance domains. This is a hands-on senior role combining deep insurance domain knowledge with cloud-native data engineering, delivered within complex and regulated environments. Key Responsibilities Design and build scalable cloud-based data platforms using Medallion Architecture (Bronze / Silver / Gold) Engineer pipelines using Python and PySpark on platforms such as Databricks Ingest and integrate data from multiple sources including policy, claims, broker, and third-party systems Contribute to CI/CD pipelines and modern DevOps delivery approaches Collaborate closely with data architects, modellers, analysts and business stakeholders Required Experience Strong experience as a Senior Data Engineer within Insurance, ideally the London Market Proven hands-on expertise in: Python & PySpark Databricks Cloud platforms (Azure, AWS, or GCP) Solid understanding of Medallion Architecture and analytics-focused data modelling Strong domain knowledge across: Lloyd's Syndicates Delegated Authority Reinsurance and Ceded Reinsurance Underwriting, pricing, and claims Confident communicator, comfortable working with senior technical and business stakeholders Why Apply? Senior, hands-on role working on complex London Market data challenges Opportunity to shape and scale modern cloud data platforms Long-term transformation programmes with strong stakeholder visibility
May 12, 2026
Full time
Senior Data Engineer - Insurance & London Market - Up to £95k Location: London (Hybrid) Type: Permanent Overview A London Market insurance organisation is seeking a Senior Data Engineer to design, build, and lead modern data engineering solutions across underwriting, pricing, claims, and reinsurance domains. This is a hands-on senior role combining deep insurance domain knowledge with cloud-native data engineering, delivered within complex and regulated environments. Key Responsibilities Design and build scalable cloud-based data platforms using Medallion Architecture (Bronze / Silver / Gold) Engineer pipelines using Python and PySpark on platforms such as Databricks Ingest and integrate data from multiple sources including policy, claims, broker, and third-party systems Contribute to CI/CD pipelines and modern DevOps delivery approaches Collaborate closely with data architects, modellers, analysts and business stakeholders Required Experience Strong experience as a Senior Data Engineer within Insurance, ideally the London Market Proven hands-on expertise in: Python & PySpark Databricks Cloud platforms (Azure, AWS, or GCP) Solid understanding of Medallion Architecture and analytics-focused data modelling Strong domain knowledge across: Lloyd's Syndicates Delegated Authority Reinsurance and Ceded Reinsurance Underwriting, pricing, and claims Confident communicator, comfortable working with senior technical and business stakeholders Why Apply? Senior, hands-on role working on complex London Market data challenges Opportunity to shape and scale modern cloud data platforms Long-term transformation programmes with strong stakeholder visibility
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Principal Enterprise Architect (Data Architecture) Annual Salary : £70,000 - £100,000 Location : London or Bristol (Hybrid) Job Type : Permanent Join a large public sector organisation as a Principal Enterprise Architect and play a pivotal role in shaping strategic technological advancements. This position offers the opportunity to lead on ensuring that the strategy for your domain is built, agreed upon, and followed, influencing significant decisions and budgets. Day-to-Day Responsibilities Oversee the technical design and strategic decisions within the enterprise architecture domain (data architecture)A. Communicate with senior stakeholders, actively seeking opportunities for improvement and innovation. Utilize best practices, emerging technologies, and approaches to lead and inspire architects towards meeting organizational goals. Conduct horizon scanning for external influences or risks and support the successful delivery of long-term strategies. Ensure that services are delivered consistently and efficiently through the application of recognized industry architectural principles and standards. Required Skills & Qualifications A broad IT background with significant experience in an architectural role. Proficiency in using modelling tools and documenting as-is and to-be processes. Experience working with AWS and/or Azure cloud platforms. A technical degree or equivalent experience is required. Membership in a professional body such as the British Computer Society or being a Chartered IT Professional (CITP). Benefits A competitive pension with an employer contribution of 28.97%. 25 days of leave, increasing to 30 days over 5 years, plus bank holidays. Access to a range of retail discounts, including supermarkets, tech, and gyms. Flexible working options including condensed hours and flexi time. 3 paid volunteering days per year. Funding for professional membership and continuous personal development. Health cash plan and cycle to work scheme.
May 12, 2026
Full time
Principal Enterprise Architect (Data Architecture) Annual Salary : £70,000 - £100,000 Location : London or Bristol (Hybrid) Job Type : Permanent Join a large public sector organisation as a Principal Enterprise Architect and play a pivotal role in shaping strategic technological advancements. This position offers the opportunity to lead on ensuring that the strategy for your domain is built, agreed upon, and followed, influencing significant decisions and budgets. Day-to-Day Responsibilities Oversee the technical design and strategic decisions within the enterprise architecture domain (data architecture)A. Communicate with senior stakeholders, actively seeking opportunities for improvement and innovation. Utilize best practices, emerging technologies, and approaches to lead and inspire architects towards meeting organizational goals. Conduct horizon scanning for external influences or risks and support the successful delivery of long-term strategies. Ensure that services are delivered consistently and efficiently through the application of recognized industry architectural principles and standards. Required Skills & Qualifications A broad IT background with significant experience in an architectural role. Proficiency in using modelling tools and documenting as-is and to-be processes. Experience working with AWS and/or Azure cloud platforms. A technical degree or equivalent experience is required. Membership in a professional body such as the British Computer Society or being a Chartered IT Professional (CITP). Benefits A competitive pension with an employer contribution of 28.97%. 25 days of leave, increasing to 30 days over 5 years, plus bank holidays. Access to a range of retail discounts, including supermarkets, tech, and gyms. Flexible working options including condensed hours and flexi time. 3 paid volunteering days per year. Funding for professional membership and continuous personal development. Health cash plan and cycle to work scheme.
Senior Data Engineer - Manchester (Hybrid) - £80,000 + bonus The Company Our client is undergoing a significant digital transformation, modernising their data platform to better support high-volume, real-time products and analytics. This is a great opportunity to join a platform team at a pivotal moment, helping shape how data is engineered, processed, and consumed across the organisation. The Role This is a hands-on Senior Data Engineer role for someone who enjoys solving complex problems across the data landscape. You'll work closely with platform engineers, analysts, and data scientists to build scalable, reliable data pipelines and modernise the existing data estate.You'll play a key part in the migration of an existing data warehouse from on-prem SQL Server into AWS, contributing to the design of lakehouse and data warehousing solutions that support high-transactional, high-volume use cases. Alongside delivery, you'll help raise standards across the data platform, contributing to shared tooling, best practice, and mentoring more junior engineers where needed. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL processes using AWS services including Glue, Lambda, and S3. Support the migration of an existing data warehouse into AWS and Redshift. Design and implement data quality checks, validation, and monitoring. Contribute to modern data lakehouse and data warehousing architecture. Work closely with analysts and data scientists to enable advanced analytics and machine learning workloads. Investigate and resolve data quality issues and performance bottlenecks. Maintain clear data documentation and operational processes. Contribute to platform standards, patterns, and continuous improvement. Provide technical guidance and mentoring to junior engineers when required. The successful candidate will have a blend of the following skills: Significant commercial experience (5+ years) as a Data Engineer in high-volume, high-transactional environments. Strong Python (or Scala) skills for data processing and pipeline development. Hands-on experience with AWS, particularly Glue, Lambda, and S3. Strong SQL skills and experience working with data warehouses. Solid understanding of ETL / ELT design and data pipeline optimisation. Experience with big data frameworks such as Apache Spark, and exposure to streaming technologies like Kafka. Strong problem-solving skills and the ability to collaborate effectively across teams. What's on offer: Opportunity to influence the architecture and refactoring of their new platform Training and development opportunities Salary of £80,000 Enrolment onto the company bonus scheme Enhanced company pension If you're interested in this role, submit your application to be considered or reach out for further information. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
May 12, 2026
Full time
Senior Data Engineer - Manchester (Hybrid) - £80,000 + bonus The Company Our client is undergoing a significant digital transformation, modernising their data platform to better support high-volume, real-time products and analytics. This is a great opportunity to join a platform team at a pivotal moment, helping shape how data is engineered, processed, and consumed across the organisation. The Role This is a hands-on Senior Data Engineer role for someone who enjoys solving complex problems across the data landscape. You'll work closely with platform engineers, analysts, and data scientists to build scalable, reliable data pipelines and modernise the existing data estate.You'll play a key part in the migration of an existing data warehouse from on-prem SQL Server into AWS, contributing to the design of lakehouse and data warehousing solutions that support high-transactional, high-volume use cases. Alongside delivery, you'll help raise standards across the data platform, contributing to shared tooling, best practice, and mentoring more junior engineers where needed. Key Responsibilities Design, build, and maintain scalable data pipelines and ETL processes using AWS services including Glue, Lambda, and S3. Support the migration of an existing data warehouse into AWS and Redshift. Design and implement data quality checks, validation, and monitoring. Contribute to modern data lakehouse and data warehousing architecture. Work closely with analysts and data scientists to enable advanced analytics and machine learning workloads. Investigate and resolve data quality issues and performance bottlenecks. Maintain clear data documentation and operational processes. Contribute to platform standards, patterns, and continuous improvement. Provide technical guidance and mentoring to junior engineers when required. The successful candidate will have a blend of the following skills: Significant commercial experience (5+ years) as a Data Engineer in high-volume, high-transactional environments. Strong Python (or Scala) skills for data processing and pipeline development. Hands-on experience with AWS, particularly Glue, Lambda, and S3. Strong SQL skills and experience working with data warehouses. Solid understanding of ETL / ELT design and data pipeline optimisation. Experience with big data frameworks such as Apache Spark, and exposure to streaming technologies like Kafka. Strong problem-solving skills and the ability to collaborate effectively across teams. What's on offer: Opportunity to influence the architecture and refactoring of their new platform Training and development opportunities Salary of £80,000 Enrolment onto the company bonus scheme Enhanced company pension If you're interested in this role, submit your application to be considered or reach out for further information. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
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.
May 12, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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.
May 12, 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.
May 12, 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 Site Reliability Engineer x5 (SC Cleared) South England - hybrid working - 70,000 - 90,000 + perm benefits We are seeking experienced Principal Site Reliability Engineers (SRE) to join a high-performing engineering team delivering resilient, cloud-native platforms for UK-based customers. These roles blend senior technical leadership with hands-on delivery, covering both project-based work and the ongoing reliability, scalability, and security of critical services. You'll work closely with other senior engineers in small, collaborative teams, taking ownership of platform reliability, setting best practices, and mentoring others. The role supports critical national infrastructure, requires participation in an on-call rota, and operates within a hybrid working model across UK offices, client sites, and home. Key responsibilities Design, build, and maintain highly available, scalable, and resilient platforms, prioritising standardisation, reuse, and automation Champion GitOps-first approaches, minimising manual configuration ("ClickOps") Lead and contribute to Site Reliability Engineering practices, including error budgets, SLOs, SLIs, and incident management Work in agile delivery teams, aligning engineering outcomes to customer and service reliability goals Operate within defined on-call rotas, supporting services underpinning critical national infrastructure Provide technical leadership and mentorship, developing the capability of engineers across teams Promote and embed best practices in reliability, security, observability, and automation Contribute to the evolution of cloud-native and SRE standards, patterns, and platform strategies Skills and experience Proven leadership experience in Site Reliability Engineering or senior platform engineering roles Strong expertise in Kubernetes and OpenShift (CKA/CKS certifications beneficial) Experience designing complex multi-cloud or hybrid architectures Hands-on knowledge of service mesh technologies such as Istio Experience with enterprise-grade databases, including EDB Postgres Deep understanding of observability and monitoring stacks, such as Prometheus, Grafana, Loki, Tempo, and LogiStack Strong Infrastructure as Code experience using tools such as Helm or Kustomize Proficiency in scripting and automation, including Bash and Python CI/CD and GitOps pipeline management using tools such as ArgoCD, FluxCD, or Tekton Experience with Red Hat ACM/ACS and advanced container networking (e.g. Submariner) A strong focus on reliability, automation, and operational excellence
May 12, 2026
Full time
Principal Site Reliability Engineer x5 (SC Cleared) South England - hybrid working - 70,000 - 90,000 + perm benefits We are seeking experienced Principal Site Reliability Engineers (SRE) to join a high-performing engineering team delivering resilient, cloud-native platforms for UK-based customers. These roles blend senior technical leadership with hands-on delivery, covering both project-based work and the ongoing reliability, scalability, and security of critical services. You'll work closely with other senior engineers in small, collaborative teams, taking ownership of platform reliability, setting best practices, and mentoring others. The role supports critical national infrastructure, requires participation in an on-call rota, and operates within a hybrid working model across UK offices, client sites, and home. Key responsibilities Design, build, and maintain highly available, scalable, and resilient platforms, prioritising standardisation, reuse, and automation Champion GitOps-first approaches, minimising manual configuration ("ClickOps") Lead and contribute to Site Reliability Engineering practices, including error budgets, SLOs, SLIs, and incident management Work in agile delivery teams, aligning engineering outcomes to customer and service reliability goals Operate within defined on-call rotas, supporting services underpinning critical national infrastructure Provide technical leadership and mentorship, developing the capability of engineers across teams Promote and embed best practices in reliability, security, observability, and automation Contribute to the evolution of cloud-native and SRE standards, patterns, and platform strategies Skills and experience Proven leadership experience in Site Reliability Engineering or senior platform engineering roles Strong expertise in Kubernetes and OpenShift (CKA/CKS certifications beneficial) Experience designing complex multi-cloud or hybrid architectures Hands-on knowledge of service mesh technologies such as Istio Experience with enterprise-grade databases, including EDB Postgres Deep understanding of observability and monitoring stacks, such as Prometheus, Grafana, Loki, Tempo, and LogiStack Strong Infrastructure as Code experience using tools such as Helm or Kustomize Proficiency in scripting and automation, including Bash and Python CI/CD and GitOps pipeline management using tools such as ArgoCD, FluxCD, or Tekton Experience with Red Hat ACM/ACS and advanced container networking (e.g. Submariner) A strong focus on reliability, automation, and operational excellence
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Please note that this role is offered on a fixed-term basis until the end of 2026. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley campus. 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. This is a senior AdTech integration role for someone who can analyse complex integration challenges, shape solution options, assess trade-offs, and guide technical decisions across programmatic and platform integrations. It is best suited to someone with strong AdTech integration knowledge who has moved beyond pure delivery into solution analysis and technical design. What you'll do: Lead end-to-end technical analysis and design of integrations across programmatic advertising and wider platform environments. Analyse complex integration scenarios (client-side, server-side, APIs, data flows, third-party platforms) and shape clear solution options. Evaluate trade-offs, risks, dependencies and impacts across architecture, operations and compliance. Conduct technical investigations, feasibility assessments and proofs-of-concept to validate integration approaches. Produce clear, structured technical documentation, including requirements, diagrams and integration specifications. Translate complex technical findings into actionable recommendations for both technical and non-technical stakeholders. Work closely with Architecture, Engineering and Operations teams to ensure solutions align with enterprise standards, scalability and operational needs. Support ongoing improvement of existing integrations and onboarding of new DSPs and partners as demand grows. What you'll bring: Strong hands-on experience with technical integrations, APIs and modern integration patterns. Solid understanding of the programmatic advertising ecosystem (DSPs, SSPs, ad servers, video ad delivery). Proven ability to analyse complex technical problems, design solutions and explain why a chosen approach is appropriate. Experience thinking beyond how to implement - including alternatives, trade-offs, risks and dependencies. Ability to produce clear technical documentation and diagrams to support design and delivery. Confidence working independently while collaborating effectively across multiple teams and stakeholders. The r ewards: " There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: " Access to free NOW, for streaming all your favourite shows " A generous pension package " Private healthcare " Discounted mobile and broadband 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's 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.
May 12, 2026
Full time
Please note that this role is offered on a fixed-term basis until the end of 2026. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley campus. 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. This is a senior AdTech integration role for someone who can analyse complex integration challenges, shape solution options, assess trade-offs, and guide technical decisions across programmatic and platform integrations. It is best suited to someone with strong AdTech integration knowledge who has moved beyond pure delivery into solution analysis and technical design. What you'll do: Lead end-to-end technical analysis and design of integrations across programmatic advertising and wider platform environments. Analyse complex integration scenarios (client-side, server-side, APIs, data flows, third-party platforms) and shape clear solution options. Evaluate trade-offs, risks, dependencies and impacts across architecture, operations and compliance. Conduct technical investigations, feasibility assessments and proofs-of-concept to validate integration approaches. Produce clear, structured technical documentation, including requirements, diagrams and integration specifications. Translate complex technical findings into actionable recommendations for both technical and non-technical stakeholders. Work closely with Architecture, Engineering and Operations teams to ensure solutions align with enterprise standards, scalability and operational needs. Support ongoing improvement of existing integrations and onboarding of new DSPs and partners as demand grows. What you'll bring: Strong hands-on experience with technical integrations, APIs and modern integration patterns. Solid understanding of the programmatic advertising ecosystem (DSPs, SSPs, ad servers, video ad delivery). Proven ability to analyse complex technical problems, design solutions and explain why a chosen approach is appropriate. Experience thinking beyond how to implement - including alternatives, trade-offs, risks and dependencies. Ability to produce clear technical documentation and diagrams to support design and delivery. Confidence working independently while collaborating effectively across multiple teams and stakeholders. The r ewards: " There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: " Access to free NOW, for streaming all your favourite shows " A generous pension package " Private healthcare " Discounted mobile and broadband 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's 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.
Please note that this role is offered on a fixed-term basis until the end of 2026. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley campus. 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. This is a senior AdTech integration role for someone who can analyse complex integration challenges, shape solution options, assess trade-offs, and guide technical decisions across programmatic and platform integrations. It is best suited to someone with strong AdTech integration knowledge who has moved beyond pure delivery into solution analysis and technical design. What you'll do: Lead end-to-end technical analysis and design of integrations across programmatic advertising and wider platform environments. Analyse complex integration scenarios (client-side, server-side, APIs, data flows, third-party platforms) and shape clear solution options. Evaluate trade-offs, risks, dependencies and impacts across architecture, operations and compliance. Conduct technical investigations, feasibility assessments and proofs-of-concept to validate integration approaches. Produce clear, structured technical documentation, including requirements, diagrams and integration specifications. Translate complex technical findings into actionable recommendations for both technical and non-technical stakeholders. Work closely with Architecture, Engineering and Operations teams to ensure solutions align with enterprise standards, scalability and operational needs. Support ongoing improvement of existing integrations and onboarding of new DSPs and partners as demand grows. What you'll bring: Strong hands-on experience with technical integrations, APIs and modern integration patterns. Solid understanding of the programmatic advertising ecosystem (DSPs, SSPs, ad servers, video ad delivery). Proven ability to analyse complex technical problems, design solutions and explain why a chosen approach is appropriate. Experience thinking beyond how to implement - including alternatives, trade-offs, risks and dependencies. Ability to produce clear technical documentation and diagrams to support design and delivery. Confidence working independently while collaborating effectively across multiple teams and stakeholders. The r ewards: " There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: " Access to free NOW, for streaming all your favourite shows " A generous pension package " Private healthcare " Discounted mobile and broadband 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's 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.
May 12, 2026
Full time
Please note that this role is offered on a fixed-term basis until the end of 2026. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley campus. 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. This is a senior AdTech integration role for someone who can analyse complex integration challenges, shape solution options, assess trade-offs, and guide technical decisions across programmatic and platform integrations. It is best suited to someone with strong AdTech integration knowledge who has moved beyond pure delivery into solution analysis and technical design. What you'll do: Lead end-to-end technical analysis and design of integrations across programmatic advertising and wider platform environments. Analyse complex integration scenarios (client-side, server-side, APIs, data flows, third-party platforms) and shape clear solution options. Evaluate trade-offs, risks, dependencies and impacts across architecture, operations and compliance. Conduct technical investigations, feasibility assessments and proofs-of-concept to validate integration approaches. Produce clear, structured technical documentation, including requirements, diagrams and integration specifications. Translate complex technical findings into actionable recommendations for both technical and non-technical stakeholders. Work closely with Architecture, Engineering and Operations teams to ensure solutions align with enterprise standards, scalability and operational needs. Support ongoing improvement of existing integrations and onboarding of new DSPs and partners as demand grows. What you'll bring: Strong hands-on experience with technical integrations, APIs and modern integration patterns. Solid understanding of the programmatic advertising ecosystem (DSPs, SSPs, ad servers, video ad delivery). Proven ability to analyse complex technical problems, design solutions and explain why a chosen approach is appropriate. Experience thinking beyond how to implement - including alternatives, trade-offs, risks and dependencies. Ability to produce clear technical documentation and diagrams to support design and delivery. Confidence working independently while collaborating effectively across multiple teams and stakeholders. The r ewards: " There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: " Access to free NOW, for streaming all your favourite shows " A generous pension package " Private healthcare " Discounted mobile and broadband 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's 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.
