Staff Engineer - Backend (Fully Remote) Location: Fully Remote (UK only) Level: Staff / Principal Type: Permanent The Opportunity We're partnering with a well-funded, product-led technology company building advanced backend systems to solve problems that traditional automation has never been able to crack. This is not incremental engineering. You'll be joining a senior, highly capable engineering team that has already shipped a complex production platform and is now scaling it to handle extreme concurrency, massive data volumes, and highly sophisticated workflows . If you enjoy designing systems that need to be fast, resilient, and correct at scale , this is the sort of role that doesn't come around often. What You'll Be Doing Designing and evolving the core backend architecture of a complex, high-throughput platform Solving hard scaling problems across concurrency, performance, and reliability Building systems that process large volumes of unstructured data with strict latency requirements Setting technical direction and raising engineering standards across a senior team Leading architectural decisions that will underpin the platform for years to come Working closely with product and domain experts to translate real-world complexity into elegant technical solutions This is a hands-on architecture role , not a people-management position. What We're Looking For This role is aimed at engineers who have already "been there" technically. Core experience: Extensive backend engineering experience (typically 10+ years) Expert-level Python, with deep understanding of async patterns and performance optimisation Proven experience designing and scaling distributed systems Strong background in API design, data-intensive systems, and service architecture Track record of building platforms that operate reliably under heavy load Nice to have: Experience with TypeScript / Node.js in complex systems Exposure to AI-driven platforms, document processing, or workflow engines Experience in regulated or high-reliability environments Cloud-native architectures and containerised deployments What's On Offer Competitive base salary aligned to Staff-level impact Meaningful equity in a fast-scaling business Flexible PTO Pension contribution Fully remote working setup If you're a Staff-level backend engineer who enjoys solving problems most teams never even attempt, this is one worth exploring. Happy to share more detail on a confidential call.
Jan 30, 2026
Full time
Staff Engineer - Backend (Fully Remote) Location: Fully Remote (UK only) Level: Staff / Principal Type: Permanent The Opportunity We're partnering with a well-funded, product-led technology company building advanced backend systems to solve problems that traditional automation has never been able to crack. This is not incremental engineering. You'll be joining a senior, highly capable engineering team that has already shipped a complex production platform and is now scaling it to handle extreme concurrency, massive data volumes, and highly sophisticated workflows . If you enjoy designing systems that need to be fast, resilient, and correct at scale , this is the sort of role that doesn't come around often. What You'll Be Doing Designing and evolving the core backend architecture of a complex, high-throughput platform Solving hard scaling problems across concurrency, performance, and reliability Building systems that process large volumes of unstructured data with strict latency requirements Setting technical direction and raising engineering standards across a senior team Leading architectural decisions that will underpin the platform for years to come Working closely with product and domain experts to translate real-world complexity into elegant technical solutions This is a hands-on architecture role , not a people-management position. What We're Looking For This role is aimed at engineers who have already "been there" technically. Core experience: Extensive backend engineering experience (typically 10+ years) Expert-level Python, with deep understanding of async patterns and performance optimisation Proven experience designing and scaling distributed systems Strong background in API design, data-intensive systems, and service architecture Track record of building platforms that operate reliably under heavy load Nice to have: Experience with TypeScript / Node.js in complex systems Exposure to AI-driven platforms, document processing, or workflow engines Experience in regulated or high-reliability environments Cloud-native architectures and containerised deployments What's On Offer Competitive base salary aligned to Staff-level impact Meaningful equity in a fast-scaling business Flexible PTO Pension contribution Fully remote working setup If you're a Staff-level backend engineer who enjoys solving problems most teams never even attempt, this is one worth exploring. Happy to share more detail on a confidential call.
Principal Data Engineer (MS Azure) Location UK Remote Salary Up to 68,000 home based nationally or up to 75,000 home based for those living within the M25 dependent on experience plus a 600 per annum home working allowance Job Ref J13058 We are looking for a Principal Data Engineer to help shape the technical direction of data engineering across a cloud based Enterprise Data Platform built on Microsoft Azure. This role suits someone who combines strong hands on data engineering experience with the ability to guide teams, set standards, and influence how data solutions are built at scale. You will play a key role in ensuring the platform is engineered to a consistently high standard and can evolve to meet future needs. The environment The Enterprise Data Platform is built on Microsoft Azure, using Databricks, Microsoft Fabric, and Power BI to deliver trusted, governed data and analytics. What you will be doing Setting data engineering standards, patterns, and best practices Acting as a trusted technical authority across data engineering and analytics Shaping solution design and architectural decisions on Azure Ensuring data pipelines are scalable, reliable, and production ready Championing modern engineering practices including CI CD and automation Working in a forward deployed way with delivery teams to support progress and remove blockers Managing and developing data engineers, supporting growth and high quality delivery What we are looking for Strong experience designing and building data platforms on Microsoft Azure Hands on experience with Databricks and Microsoft Fabric Experience working with analytics and reporting tools such as Power BI Experience managing and mentoring data engineers Excellent communication skills and the ability to explain complex technical ideas clearly A collaborative approach and interest in raising engineering standards together If this role sounds interesting and you have strong Azure based data engineering experience, with the ability to influence through clear communication with technical and non-technical stakeholders, we encourage you to apply. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Jan 30, 2026
Full time
Principal Data Engineer (MS Azure) Location UK Remote Salary Up to 68,000 home based nationally or up to 75,000 home based for those living within the M25 dependent on experience plus a 600 per annum home working allowance Job Ref J13058 We are looking for a Principal Data Engineer to help shape the technical direction of data engineering across a cloud based Enterprise Data Platform built on Microsoft Azure. This role suits someone who combines strong hands on data engineering experience with the ability to guide teams, set standards, and influence how data solutions are built at scale. You will play a key role in ensuring the platform is engineered to a consistently high standard and can evolve to meet future needs. The environment The Enterprise Data Platform is built on Microsoft Azure, using Databricks, Microsoft Fabric, and Power BI to deliver trusted, governed data and analytics. What you will be doing Setting data engineering standards, patterns, and best practices Acting as a trusted technical authority across data engineering and analytics Shaping solution design and architectural decisions on Azure Ensuring data pipelines are scalable, reliable, and production ready Championing modern engineering practices including CI CD and automation Working in a forward deployed way with delivery teams to support progress and remove blockers Managing and developing data engineers, supporting growth and high quality delivery What we are looking for Strong experience designing and building data platforms on Microsoft Azure Hands on experience with Databricks and Microsoft Fabric Experience working with analytics and reporting tools such as Power BI Experience managing and mentoring data engineers Excellent communication skills and the ability to explain complex technical ideas clearly A collaborative approach and interest in raising engineering standards together If this role sounds interesting and you have strong Azure based data engineering experience, with the ability to influence through clear communication with technical and non-technical stakeholders, we encourage you to apply. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website: (url removed)
Great opportunity for a Principal Software Engineer to work for a retail company near Manchester at the beginning of a digital transformation. You'd report to the Head of Engineering and would work as part of a team of Principal Software Engineers responsible for collaborating with Architects and Product Owners to lead the re-architecture of existing platforms to a cloud-native, event-driven, micr click apply for full job details
Jan 30, 2026
Full time
Great opportunity for a Principal Software Engineer to work for a retail company near Manchester at the beginning of a digital transformation. You'd report to the Head of Engineering and would work as part of a team of Principal Software Engineers responsible for collaborating with Architects and Product Owners to lead the re-architecture of existing platforms to a cloud-native, event-driven, micr click apply for full job details
We are partnering with a leading UK financial services organisation to recruit a Principal Cyber Security Specialist. This is a key role within their security function, focusing on architecting and implementing security automation, platform engineering, and Zero Trust principles across their cloud and on-premise environments. You will work closely with security engineering, threat intelligence, Clo click apply for full job details
Jan 30, 2026
Full time
We are partnering with a leading UK financial services organisation to recruit a Principal Cyber Security Specialist. This is a key role within their security function, focusing on architecting and implementing security automation, platform engineering, and Zero Trust principles across their cloud and on-premise environments. You will work closely with security engineering, threat intelligence, Clo click apply for full job details
Alstom is the UK & Ireland s leading supplier of new trains and train services, and a leading signalling and rail infrastructure provider. Alstom have built, or are building, just under 40% of the UK mainline train fleet; as well as the entire fleets in service with London Underground and Dublin Luas. We provide the widest range of smart solutions in the rail market, from innovative high-speed rolling stock, metros and trams to maintenance, modernisation, infrastructure and signalling. Employing 6000 people, we design and build trains at Derby, the UK s largest train factory; and operate major sites at Widnes, Crewe, Ilford and Plymouth, and 30 train services depots across the UK and Ireland. Could you be the full-time Principal Systems Engineer in Hatfield we re looking for? POSITION OVERVIEW The succesful candidate will participate in the development, adaptation, introduction and systems delivery elements of SSI and SMARTLOCK systems and processes (SML 400, MooN, Smart Gateway, SmartIO, Support System, Test Environment, AutoTesting) for signalling systems in the UK and Ireland.They will also engage in the development and / or improvement of tools and processes within the business including requirements capture, planning, specifications, design, implementation, testing and roll out. Assist in ensuringthat tools and processes remain fit for purpose and enable continuous improvement of them by leading regular reviews and proactively suggesting and implementing improvements. Responsibilities Ensure delivery of standardised objectives and optimum systems solutions on allocated projects. Delivery of project solutions ensuring focus on reliability, maintainability and safety principles. Ensure conformity of projects to systems standards, agreed system architecture, client standards and company procedures. Participate in the development of new systems solutions. Support to safety assurance on the application CSM on allocated projects / products including the development of Generic and Specific Application Safety Cases. Work with the Systems Engineering Manager to establish matters of best practice. Provide systems input to tenders. Participate in systems integration, project deliverables, associated sub-systems and validation of technical documentation in order to verify product and project compliance. Technical team management for Systems Engineers. Support the project in the field by providing second line product support to customers. Attendance at business and technical briefings. Essential Skills: Systems Engineering Management A degree of computer and software literacy. Software development or scripting experience. Ability to liaise with all stakeholders including customers, supplier and project delivery staff Organisational skills Decision Making Technical report writing Qualifications: MSc or BSc level education in an engineering related subject, preferably control systems / electrical engineering / systems engineering or equivalent. Experience: Good knowledge of client and systems standards and legislation. Knowledge of the UK railway safety approval processes. Good knowledge of systems engineering principles and good understanding of relevant systems and software tools and the aptitude to develop skills further. Desirable: Skills Commercial and financial awareness Virtualisation and Cloud Technologies Microsoft Windows System and Domain Administration. Qualifications PTS (Personal Track Safety) Corporate Member of an engineering institute IRSE Systems or Engineering Managers licence (Institute of Railway Signal Engineers) Experience Experience working in a railway systems engineering environment. You don t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you ll be proud. If you re up for the challenge, we d love to hear from you!
Jan 30, 2026
Full time
Alstom is the UK & Ireland s leading supplier of new trains and train services, and a leading signalling and rail infrastructure provider. Alstom have built, or are building, just under 40% of the UK mainline train fleet; as well as the entire fleets in service with London Underground and Dublin Luas. We provide the widest range of smart solutions in the rail market, from innovative high-speed rolling stock, metros and trams to maintenance, modernisation, infrastructure and signalling. Employing 6000 people, we design and build trains at Derby, the UK s largest train factory; and operate major sites at Widnes, Crewe, Ilford and Plymouth, and 30 train services depots across the UK and Ireland. Could you be the full-time Principal Systems Engineer in Hatfield we re looking for? POSITION OVERVIEW The succesful candidate will participate in the development, adaptation, introduction and systems delivery elements of SSI and SMARTLOCK systems and processes (SML 400, MooN, Smart Gateway, SmartIO, Support System, Test Environment, AutoTesting) for signalling systems in the UK and Ireland.They will also engage in the development and / or improvement of tools and processes within the business including requirements capture, planning, specifications, design, implementation, testing and roll out. Assist in ensuringthat tools and processes remain fit for purpose and enable continuous improvement of them by leading regular reviews and proactively suggesting and implementing improvements. Responsibilities Ensure delivery of standardised objectives and optimum systems solutions on allocated projects. Delivery of project solutions ensuring focus on reliability, maintainability and safety principles. Ensure conformity of projects to systems standards, agreed system architecture, client standards and company procedures. Participate in the development of new systems solutions. Support to safety assurance on the application CSM on allocated projects / products including the development of Generic and Specific Application Safety Cases. Work with the Systems Engineering Manager to establish matters of best practice. Provide systems input to tenders. Participate in systems integration, project deliverables, associated sub-systems and validation of technical documentation in order to verify product and project compliance. Technical team management for Systems Engineers. Support the project in the field by providing second line product support to customers. Attendance at business and technical briefings. Essential Skills: Systems Engineering Management A degree of computer and software literacy. Software development or scripting experience. Ability to liaise with all stakeholders including customers, supplier and project delivery staff Organisational skills Decision Making Technical report writing Qualifications: MSc or BSc level education in an engineering related subject, preferably control systems / electrical engineering / systems engineering or equivalent. Experience: Good knowledge of client and systems standards and legislation. Knowledge of the UK railway safety approval processes. Good knowledge of systems engineering principles and good understanding of relevant systems and software tools and the aptitude to develop skills further. Desirable: Skills Commercial and financial awareness Virtualisation and Cloud Technologies Microsoft Windows System and Domain Administration. Qualifications PTS (Personal Track Safety) Corporate Member of an engineering institute IRSE Systems or Engineering Managers licence (Institute of Railway Signal Engineers) Experience Experience working in a railway systems engineering environment. You don t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you ll be proud. If you re up for the challenge, we d love to hear from you!
Cloud Lead (Kubernetes, AWS/GCP) We are seeking an experienced Cloud Lead with deep expertise as a Kubernetes SME , and hands-on experience with AWS and/or GCP . This role will play a critical part in leading the next phase of our global cloud transformation . Key Responsibilities Act as the technical lead and SME for cloud networking, Kubernetes, and cloud platforms Lead cloud architecture and transformation initiatives across a global business Design, validate, and govern cloud-native and hybrid architectures Provide hands-on technical leadership while vetting solutions and designs Lead and influence senior technical and non-technical stakeholders Drive best practices in security, scalability, resilience, and cost optimisation Support and mentor engineering teams, setting technical direction and standards Collaborate with product, operations, and leadership to align cloud strategy with business goals Key Skills & Experience Proven experience as a Cloud Lead / Principal / Architect Strong expertise in Kubernetes (design, operations, scaling) Deep understanding of ASN and cloud networking Hands-on experience with AWS and/or GCP Experience delivering large-scale cloud transformation programmes Strong stakeholder management and leadership skills Ability to bridge technical depth and business strategy Experience working in hybrid cloud environments Working Model Hybrid working : Weekly on-site presence Location : West Midlands
Jan 30, 2026
Full time
Cloud Lead (Kubernetes, AWS/GCP) We are seeking an experienced Cloud Lead with deep expertise as a Kubernetes SME , and hands-on experience with AWS and/or GCP . This role will play a critical part in leading the next phase of our global cloud transformation . Key Responsibilities Act as the technical lead and SME for cloud networking, Kubernetes, and cloud platforms Lead cloud architecture and transformation initiatives across a global business Design, validate, and govern cloud-native and hybrid architectures Provide hands-on technical leadership while vetting solutions and designs Lead and influence senior technical and non-technical stakeholders Drive best practices in security, scalability, resilience, and cost optimisation Support and mentor engineering teams, setting technical direction and standards Collaborate with product, operations, and leadership to align cloud strategy with business goals Key Skills & Experience Proven experience as a Cloud Lead / Principal / Architect Strong expertise in Kubernetes (design, operations, scaling) Deep understanding of ASN and cloud networking Hands-on experience with AWS and/or GCP Experience delivering large-scale cloud transformation programmes Strong stakeholder management and leadership skills Ability to bridge technical depth and business strategy Experience working in hybrid cloud environments Working Model Hybrid working : Weekly on-site presence Location : West Midlands
We re recruiting on behalf of a financial technology client seeking a Principal Developer with strong architectural capability . This role sits within a senior Architecture function and will shape the technical direction of a complex, data driven product suite. This role directly influences the long term architecture, resilience, and scalability of a major financial technology platform. You ll play a key part in shaping future technical strategy and ensuring the platform remains robust and fit for growth. You ll act as a hands on technical authority, defining architecture standards, validating solution designs, and guiding engineering teams toward scalable, secure, cloud native systems. Key Focus: Architecture leadership + AWS expertise What You ll Do Define and govern architecture, development, and data standards. Design and review solution architectures, assessing risks and trade offs. Build PoCs and technical spikes to validate decisions and technologies. Provide architectural leadership across multiple products and teams. Improve system performance, reliability, scalability, and resilience. Lead data modelling and contribute to data architecture standards. Collaborate with senior architects, engineering leads, product teams, and external partners. Ensure designs meet SLAs, security, compliance, and operational requirements. What You ll Bring 8 10+ years in software engineering and/or solution architecture. Experience operating at Senior/Principal level in enterprise environments. Strong background in distributed, cloud native, and data intensive systems. Deep AWS experience (essential). Strong data modelling and data architecture skills. Expertise in Java, Spring Boot, REST/event driven services; good knowledge of Angular/Node.js. Solid understanding of CI/CD, IaC (Terraform/CloudFormation), containers (Docker/Kubernetes), and modern DevOps practices. Experience with observability, security by design, and high availability systems. Excellent communication and stakeholder management skills. This role directly influences the long term architecture, resilience, and scalability of a major financial technology platform. You ll play a key part in shaping future technical strategy and ensuring the platform remains robust and fit for growth. For immediate consideration, forward an up-to-date CV today to discuss circumstances confidentially.
Jan 30, 2026
Contractor
We re recruiting on behalf of a financial technology client seeking a Principal Developer with strong architectural capability . This role sits within a senior Architecture function and will shape the technical direction of a complex, data driven product suite. This role directly influences the long term architecture, resilience, and scalability of a major financial technology platform. You ll play a key part in shaping future technical strategy and ensuring the platform remains robust and fit for growth. You ll act as a hands on technical authority, defining architecture standards, validating solution designs, and guiding engineering teams toward scalable, secure, cloud native systems. Key Focus: Architecture leadership + AWS expertise What You ll Do Define and govern architecture, development, and data standards. Design and review solution architectures, assessing risks and trade offs. Build PoCs and technical spikes to validate decisions and technologies. Provide architectural leadership across multiple products and teams. Improve system performance, reliability, scalability, and resilience. Lead data modelling and contribute to data architecture standards. Collaborate with senior architects, engineering leads, product teams, and external partners. Ensure designs meet SLAs, security, compliance, and operational requirements. What You ll Bring 8 10+ years in software engineering and/or solution architecture. Experience operating at Senior/Principal level in enterprise environments. Strong background in distributed, cloud native, and data intensive systems. Deep AWS experience (essential). Strong data modelling and data architecture skills. Expertise in Java, Spring Boot, REST/event driven services; good knowledge of Angular/Node.js. Solid understanding of CI/CD, IaC (Terraform/CloudFormation), containers (Docker/Kubernetes), and modern DevOps practices. Experience with observability, security by design, and high availability systems. Excellent communication and stakeholder management skills. This role directly influences the long term architecture, resilience, and scalability of a major financial technology platform. You ll play a key part in shaping future technical strategy and ensuring the platform remains robust and fit for growth. For immediate consideration, forward an up-to-date CV today to discuss circumstances confidentially.
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Jan 30, 2026
Full time
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Jan 30, 2026
Full time
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Jan 29, 2026
Full time
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
Jan 29, 2026
Full time
Solutions Principal Multicloud, Data & AI, Resiliency & Security London Help Dell Technologies customize solutions for customers with a role on our Solutions Principal team. On this team, you'll guide the analysis, design and development of solutions for customers, provide technical support and direction to sales teams in the field and assure the compatibility of these solutions with customer systems and strategic business plans. Are you an experienced outcome orientated technologist who provide presales advice for game-changing, enterprise-wide Multicloud, Data & AI and Resiliency & Security Transformation services? Do you want to be a hero to Dell's customers by delivering outcomes for their complex business/IT use cases? The Advisory Solutions Principal works within our Dell Technologies Services (DTS) Presales team. You are responsible for leading the Multicloud, Data & AI and Resiliency & Security services solution definition in close alignment with the Services Sales, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and delivers expected outcomes. Our Services support the entire solution lifecycle and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services. Join us to do the best work of your career and make a profound social impact as an Advisory Services Solutions Principal for Multicloud, Data & AI and Resiliency & Security on our Dell Technologies Services EMEA Presales Specialty team in the United Kingdom. What you'll achieve This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development and delivery of presentations up to client's C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management. You will: Engage in complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Multicloud, Data & AI and Resiliency & Security services. Be part of an EMEA team of Solutions Principals. You will work predominantly on opportunities in the UK and when needed across EMEA. Be recognized for your Services solution presales subject-matter expertise in the area of Multicloud, Data & AI and Resiliency & Security and your ability to design end-to-end services solutions. Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Multicloud, Data & AI and Resiliency & Security services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns. Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements Expert knowledge in Multicloud services and proficient knowledge in the areas of Data & AI and Resiliency & Security services. Extensive presales experience of acting as a solution lead, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches. Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning Exceptional consultative presales skills, including methods, tools and techniques to apply within digital transformation context; ability to run customer workshops and executive briefings; ability to work in an international, multicultural environment. Desirable Requirements Working knowledge of Dell Technologies product and services portfolio relevant to Multicloud, Data & AI and Resiliency & Security on-premise Practical service delivery experience and relevant certifications in the area of Multicloud, Data & AI and Resiliency & Security Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Application closing date: 13 Feb 2025 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here . Job ID:R270081
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 28, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 27, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Lead Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
