Palantir Foundry Lead Consultant - Lead architect and hands-on technical owner for Palantir Foundry implementations. You will design and build production-grade data and application workflows on Foundry, own technical decisions end-to-end and work directly with senior stakeholders while mentoring engineering teams. Core Responsibilities Foundry Solution Architecture & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement patterns for data modelling, transformation, and lineage tracking. Design permission models (RBAC/ABAC), object-level security and auditability. Implement CI/CD and environment promotion strategies for Foundry artefacts. Scalability, Reliability & Operations Lead performance tuning for large-scale production deployments (eg parallelisation, partitioning, caching, compute configuration). Design monitoring, alerting and observability for pipelines, applications and integrations. Handle incident response and root cause analysis for platform and application issues. Define and enforce non-functional requirements (SLA/SLOs, resilience, disaster recovery). Client-Facing Engineering & Stakeholder Management Run technical discovery with senior stakeholders to translate business needs into concrete Foundry use cases. Present architectures, trade-offs and risk assessments to both technical teams and C-suite. Provide technical guidance on integration with existing enterprise systems (data warehouses, message buses, APIs, identity providers). Enablement, Mentoring & Standards Design and deliver technical bootcamps, hands-on labs and enablement plans for engineers, analysts and power users. Mentor engineers on Foundry internals, best practices, and debugging strategies. Contribute to and enforce internal standards: code quality, naming conventions, testing strategies, pipeline/app design patterns. Required Experience Extensive experience working with Palantir , ideally as a Forward Deployed Engineer or equivalent implementation role. Multiple large-scale Foundry implementations in production , with direct ownership of: Solution architecture Deployment strategy Operational runbook and handover Demonstrable enterprise experience with: Performance bottlenecks at scale Complex permissioning/security models Schema and ontology evolution Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite , including technical steering sessions and design reviews. History of teaching, mentoring or training engineers or mixed-ability teams on Foundry (eg bootcamps, internal academies, onboarding programmes). Exposure to Palantir product teams and a deep understanding of: Platform limitations and edge cases Common failure modes Practical workarounds and design patterns to avoid them Technical Skills Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features. Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java, or similar) for transformations, services, and integrations. Solid background in data engineering concepts: batch/stream processing, data modelling, data quality, and governance. Experience integrating Foundry with enterprise identity (SSO, SAML/OIDC), APIs, and existing data platforms. Familiarity with modern software engineering practices: version control, code review, automated testing, CI/CD, infrastructure-as-code (where applicable). Profile Deep technical but pragmatic: optimises for correctness, reliability and maintainability under real-world constraints. Systems thinker: able to model complex domains and understand end-to-end data and control flows. Clear communicator: can move seamlessly between low-level detail and high-level architecture with different audiences. Enjoys debugging hard problems, documenting patterns, and building repeatable, reusable solutions. Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
Jan 12, 2026
Palantir Foundry Lead Consultant - Lead architect and hands-on technical owner for Palantir Foundry implementations. You will design and build production-grade data and application workflows on Foundry, own technical decisions end-to-end and work directly with senior stakeholders while mentoring engineering teams. Core Responsibilities Foundry Solution Architecture & Build Own end-to-end solution design across: Data integration (Pipeline Builder/code-based pipelines, connectors, incremental loads). Ontology modelling (object/relationship design, semantics, versioning). Application layer (Workshop, Code Repositories, OSDK/APIs, Actions, AIP/agentic workflows). Define and implement patterns for data modelling, transformation, and lineage tracking. Design permission models (RBAC/ABAC), object-level security and auditability. Implement CI/CD and environment promotion strategies for Foundry artefacts. Scalability, Reliability & Operations Lead performance tuning for large-scale production deployments (eg parallelisation, partitioning, caching, compute configuration). Design monitoring, alerting and observability for pipelines, applications and integrations. Handle incident response and root cause analysis for platform and application issues. Define and enforce non-functional requirements (SLA/SLOs, resilience, disaster recovery). Client-Facing Engineering & Stakeholder Management Run technical discovery with senior stakeholders to translate business needs into concrete Foundry use cases. Present architectures, trade-offs and risk assessments to both technical teams and C-suite. Provide technical guidance on integration with existing enterprise systems (data warehouses, message buses, APIs, identity providers). Enablement, Mentoring & Standards Design and deliver technical bootcamps, hands-on labs and enablement plans for engineers, analysts and power users. Mentor engineers on Foundry internals, best practices, and debugging strategies. Contribute to and enforce internal standards: code quality, naming conventions, testing strategies, pipeline/app design patterns. Required Experience Extensive experience working with Palantir , ideally as a Forward Deployed Engineer or equivalent implementation role. Multiple large-scale Foundry implementations in production , with direct ownership of: Solution architecture Deployment strategy Operational runbook and handover Demonstrable enterprise experience with: Performance bottlenecks at scale Complex permissioning/security models Schema and ontology evolution Integration failures and incident recovery Strong client-facing track record with senior stakeholders and C-suite , including technical steering sessions and design reviews. History of teaching, mentoring or training engineers or mixed-ability teams on Foundry (eg bootcamps, internal academies, onboarding programmes). Exposure to Palantir product teams and a deep understanding of: Platform limitations and edge cases Common failure modes Practical workarounds and design patterns to avoid them Technical Skills Strong practical knowledge of core Foundry components: Pipeline Builder, Ontology, Workshop, Code Repositories, OSDK, Actions, AIP/agentic features. Proficiency in at least one general-purpose programming language commonly used with Foundry (eg Python, Java, or similar) for transformations, services, and integrations. Solid background in data engineering concepts: batch/stream processing, data modelling, data quality, and governance. Experience integrating Foundry with enterprise identity (SSO, SAML/OIDC), APIs, and existing data platforms. Familiarity with modern software engineering practices: version control, code review, automated testing, CI/CD, infrastructure-as-code (where applicable). Profile Deep technical but pragmatic: optimises for correctness, reliability and maintainability under real-world constraints. Systems thinker: able to model complex domains and understand end-to-end data and control flows. Clear communicator: can move seamlessly between low-level detail and high-level architecture with different audiences. Enjoys debugging hard problems, documenting patterns, and building repeatable, reusable solutions. Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.
Job Title: Nuclear Technical Specialist - Systems Training Location: Barrow-in-Furness- Primarily onsite Salary: Competitive What you'll be doing: You will be joining a multi-skilled team charged with developing and delivering key nuclear training packages, as well as providing assurance on the wider learning and development processes and outputs that have relevance to nuclear safety Delivering strategic nuclear training goals ensuring nuclear safety is prioritised Supporting the development and delivery of key nuclear training packages for your own area of specialism to meet programme, business, and customer requirements including providing expert advice and guidance into the evolution of relevant training assets Acting as a critical friend to support development of training assets out with own specialism to improve the quality of delivery of training packages pertinent to nuclear safety Engaging with customers and stakeholder Subject Matter Experts to maximise the development of specialist nuclear skills and capabilities Maintaining compliant administration, governance, and assurance of nuclear training according to agreed policies and procedures. Maintaining and developing your own nuclear shipbuilder competence through activities within nuclear departments such as build, test and commissioning, regulatory interface or nuclear assurance. You can expect to be applying Naval Nuclear Steam Raising Plant expertise to complex engineering product, system, and process development or problem resolution Your skills and experiences: Essential: Demonstrable knowledge of nuclear systems and/or safety compliance, particularly related to build environment of Nuclear Submarines Suitable qualification and experience in the development and delivery of training packages to a wide range of audiences Good experience in the ability to tailor training to best suit audience requirements Well-honed organisation skills, agility and responsiveness to customer requirements Appreciation of risk and issue management, supported by analytical skills and problem solving Desirable: Ex-submariner with knowledge of submarine operations, in particular the reactor and reactor support systems Benefits As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Nuclear Discipline, Skills and Capability Department: We are expanding our Nuclear Skills, Capability, and Compliance Team to support the delivery of major programmes of strategic national and international importance. These are brand-new roles at BAE Systems Submarines, created to facilitate and manage training and compliance to enable a competent and resilient business resource. You will be joining a team based at Barrow-in-Furness whose main task is to deliver, govern and assure Nuclear Baseline compliance, training and licensed site arrangements. You will have the opportunity to gain product-facing skills across other nuclear departments, liaising with cross functional teams in Engineering and Manufacturing, as well working directly with Senior Nuclear Leadership teams. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 26th January 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Jan 12, 2026
Full time
Job Title: Nuclear Technical Specialist - Systems Training Location: Barrow-in-Furness- Primarily onsite Salary: Competitive What you'll be doing: You will be joining a multi-skilled team charged with developing and delivering key nuclear training packages, as well as providing assurance on the wider learning and development processes and outputs that have relevance to nuclear safety Delivering strategic nuclear training goals ensuring nuclear safety is prioritised Supporting the development and delivery of key nuclear training packages for your own area of specialism to meet programme, business, and customer requirements including providing expert advice and guidance into the evolution of relevant training assets Acting as a critical friend to support development of training assets out with own specialism to improve the quality of delivery of training packages pertinent to nuclear safety Engaging with customers and stakeholder Subject Matter Experts to maximise the development of specialist nuclear skills and capabilities Maintaining compliant administration, governance, and assurance of nuclear training according to agreed policies and procedures. Maintaining and developing your own nuclear shipbuilder competence through activities within nuclear departments such as build, test and commissioning, regulatory interface or nuclear assurance. You can expect to be applying Naval Nuclear Steam Raising Plant expertise to complex engineering product, system, and process development or problem resolution Your skills and experiences: Essential: Demonstrable knowledge of nuclear systems and/or safety compliance, particularly related to build environment of Nuclear Submarines Suitable qualification and experience in the development and delivery of training packages to a wide range of audiences Good experience in the ability to tailor training to best suit audience requirements Well-honed organisation skills, agility and responsiveness to customer requirements Appreciation of risk and issue management, supported by analytical skills and problem solving Desirable: Ex-submariner with knowledge of submarine operations, in particular the reactor and reactor support systems Benefits As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Nuclear Discipline, Skills and Capability Department: We are expanding our Nuclear Skills, Capability, and Compliance Team to support the delivery of major programmes of strategic national and international importance. These are brand-new roles at BAE Systems Submarines, created to facilitate and manage training and compliance to enable a competent and resilient business resource. You will be joining a team based at Barrow-in-Furness whose main task is to deliver, govern and assure Nuclear Baseline compliance, training and licensed site arrangements. You will have the opportunity to gain product-facing skills across other nuclear departments, liaising with cross functional teams in Engineering and Manufacturing, as well working directly with Senior Nuclear Leadership teams. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 26th January 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Job Title: Nuclear Technical Specialist - Systems Training Location: Barrow-in-Furness- Primarily onsite Salary: Competitive What you'll be doing: You will be joining a multi-skilled team charged with developing and delivering key nuclear training packages, as well as providing assurance on the wider learning and development processes and outputs that have relevance to nuclear safety Delivering strategic nuclear training goals ensuring nuclear safety is prioritised Supporting the development and delivery of key nuclear training packages for your own area of specialism to meet programme, business, and customer requirements including providing expert advice and guidance into the evolution of relevant training assets Acting as a critical friend to support development of training assets out with own specialism to improve the quality of delivery of training packages pertinent to nuclear safety Engaging with customers and stakeholder Subject Matter Experts to maximise the development of specialist nuclear skills and capabilities Maintaining compliant administration, governance, and assurance of nuclear training according to agreed policies and procedures. Maintaining and developing your own nuclear shipbuilder competence through activities within nuclear departments such as build, test and commissioning, regulatory interface or nuclear assurance. You can expect to be applying Naval Nuclear Steam Raising Plant expertise to complex engineering product, system, and process development or problem resolution Your skills and experiences: Essential: Demonstrable knowledge of nuclear systems and/or safety compliance, particularly related to build environment of Nuclear Submarines Suitable qualification and experience in the development and delivery of training packages to a wide range of audiences Good experience in the ability to tailor training to best suit audience requirements Well-honed organisation skills, agility and responsiveness to customer requirements Appreciation of risk and issue management, supported by analytical skills and problem solving Desirable: Ex-submariner with knowledge of submarine operations, in particular the reactor and reactor support systems Benefits As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Nuclear Discipline, Skills and Capability Department: We are expanding our Nuclear Skills, Capability, and Compliance Team to support the delivery of major programmes of strategic national and international importance. These are brand-new roles at BAE Systems Submarines, created to facilitate and manage training and compliance to enable a competent and resilient business resource. You will be joining a team based at Barrow-in-Furness whose main task is to deliver, govern and assure Nuclear Baseline compliance, training and licensed site arrangements. You will have the opportunity to gain product-facing skills across other nuclear departments, liaising with cross functional teams in Engineering and Manufacturing, as well working directly with Senior Nuclear Leadership teams. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 26th January 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
Jan 12, 2026
Full time
Job Title: Nuclear Technical Specialist - Systems Training Location: Barrow-in-Furness- Primarily onsite Salary: Competitive What you'll be doing: You will be joining a multi-skilled team charged with developing and delivering key nuclear training packages, as well as providing assurance on the wider learning and development processes and outputs that have relevance to nuclear safety Delivering strategic nuclear training goals ensuring nuclear safety is prioritised Supporting the development and delivery of key nuclear training packages for your own area of specialism to meet programme, business, and customer requirements including providing expert advice and guidance into the evolution of relevant training assets Acting as a critical friend to support development of training assets out with own specialism to improve the quality of delivery of training packages pertinent to nuclear safety Engaging with customers and stakeholder Subject Matter Experts to maximise the development of specialist nuclear skills and capabilities Maintaining compliant administration, governance, and assurance of nuclear training according to agreed policies and procedures. Maintaining and developing your own nuclear shipbuilder competence through activities within nuclear departments such as build, test and commissioning, regulatory interface or nuclear assurance. You can expect to be applying Naval Nuclear Steam Raising Plant expertise to complex engineering product, system, and process development or problem resolution Your skills and experiences: Essential: Demonstrable knowledge of nuclear systems and/or safety compliance, particularly related to build environment of Nuclear Submarines Suitable qualification and experience in the development and delivery of training packages to a wide range of audiences Good experience in the ability to tailor training to best suit audience requirements Well-honed organisation skills, agility and responsiveness to customer requirements Appreciation of risk and issue management, supported by analytical skills and problem solving Desirable: Ex-submariner with knowledge of submarine operations, in particular the reactor and reactor support systems Benefits As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts - you may also be eligible for an annual incentive. The Nuclear Discipline, Skills and Capability Department: We are expanding our Nuclear Skills, Capability, and Compliance Team to support the delivery of major programmes of strategic national and international importance. These are brand-new roles at BAE Systems Submarines, created to facilitate and manage training and compliance to enable a competent and resilient business resource. You will be joining a team based at Barrow-in-Furness whose main task is to deliver, govern and assure Nuclear Baseline compliance, training and licensed site arrangements. You will have the opportunity to gain product-facing skills across other nuclear departments, liaising with cross functional teams in Engineering and Manufacturing, as well working directly with Senior Nuclear Leadership teams. We offer relocation support packages across all Submarines roles, subject to meeting eligibility criteria. Why BAE Systems? This is a place where you'll be able to make a real difference. You'll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you'll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc .) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role , to allow for meaningful security vetting checks. Closing Date: 26th January 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role . Therefore, if you are interested, please submit your application as early as possible.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Description Certifying Avionics Engineer (Rotary Wing) Role Overview This is a certifying role reporting to the Installation and Production Manager. The post holder is responsible for maintaining the safety and airworthiness of rotary-wing aircraft within the installations environment, supporting both customisation and maintenance activities. Key Responsibilities Act as a certifying engineer within the installations department, ensuring all work is completed in line with approved data and regulatory requirements. Work closely with supervisory staff to ensure projects are appropriately supported and delivered on time and within budget. Delegate tasks to team members and provide technical oversight throughout project delivery. Review, verify, and where required, certify or over-sign delegated work to ensure compliance and quality standards are met. Liaise with project management and design teams to support effective planning, execution, and delivery of installation activities. Oversee the day-to-day operation of the avionics team and hangar environment. Maintain clear and effective communication internally and externally regarding project progress and technical developments. Ensure robust health and safety practices are followed at all times, including correct use of PPE and adherence to hangar rules. Oversee the embodiment of modifications and design changes in accordance with approved data from OEMs or third-party STC holders. Work within the organisation s CAA Part 21G and Part 145 approvals, upholding regulatory, quality, and manufacturing standards. Knowledge and Skills Essential: Minimum of 5 years experience within an aviation environment. Proven experience leading or supervising technical teams. Strong knowledge of CAA Part 21G (Production), Part 145 (Maintenance), and Part 21J (Design) approvals. Ability to accurately interpret detailed wiring diagrams and associated technical documentation. Recent hands-on experience in manufacturing wiring looms, including connector termination and continuity testing. Recent experience in on- and off-aircraft soldering and crimping techniques. Familiarity with specialist test equipment used in electrical and avionics systems. Competent user of Google Workspace, SAP, and Microsoft Office applications. Education, Qualifications & Training Essential: Completion of a recognised aviation apprenticeship. Hold a UK CAA Part 66 B2 licence. Desirable: Type ratings on rotary-wing aircraft, such as: H125 (AS350) H130 H135 (EC135) H145 (BK117) Initial Human Factors training. Formal leadership or supervisory training. About You Able to work both independently and as part of a team, consistently delivering work to a high standard to ensure continued aircraft safety. Flexible, proactive, and enthusiastic, with a positive approach to challenges. Reliable and calm under pressure, with the ability to manage competing priorities. Highly organised and methodical, with strong attention to detail.
Jan 12, 2026
Full time
Job Description Certifying Avionics Engineer (Rotary Wing) Role Overview This is a certifying role reporting to the Installation and Production Manager. The post holder is responsible for maintaining the safety and airworthiness of rotary-wing aircraft within the installations environment, supporting both customisation and maintenance activities. Key Responsibilities Act as a certifying engineer within the installations department, ensuring all work is completed in line with approved data and regulatory requirements. Work closely with supervisory staff to ensure projects are appropriately supported and delivered on time and within budget. Delegate tasks to team members and provide technical oversight throughout project delivery. Review, verify, and where required, certify or over-sign delegated work to ensure compliance and quality standards are met. Liaise with project management and design teams to support effective planning, execution, and delivery of installation activities. Oversee the day-to-day operation of the avionics team and hangar environment. Maintain clear and effective communication internally and externally regarding project progress and technical developments. Ensure robust health and safety practices are followed at all times, including correct use of PPE and adherence to hangar rules. Oversee the embodiment of modifications and design changes in accordance with approved data from OEMs or third-party STC holders. Work within the organisation s CAA Part 21G and Part 145 approvals, upholding regulatory, quality, and manufacturing standards. Knowledge and Skills Essential: Minimum of 5 years experience within an aviation environment. Proven experience leading or supervising technical teams. Strong knowledge of CAA Part 21G (Production), Part 145 (Maintenance), and Part 21J (Design) approvals. Ability to accurately interpret detailed wiring diagrams and associated technical documentation. Recent hands-on experience in manufacturing wiring looms, including connector termination and continuity testing. Recent experience in on- and off-aircraft soldering and crimping techniques. Familiarity with specialist test equipment used in electrical and avionics systems. Competent user of Google Workspace, SAP, and Microsoft Office applications. Education, Qualifications & Training Essential: Completion of a recognised aviation apprenticeship. Hold a UK CAA Part 66 B2 licence. Desirable: Type ratings on rotary-wing aircraft, such as: H125 (AS350) H130 H135 (EC135) H145 (BK117) Initial Human Factors training. Formal leadership or supervisory training. About You Able to work both independently and as part of a team, consistently delivering work to a high standard to ensure continued aircraft safety. Flexible, proactive, and enthusiastic, with a positive approach to challenges. Reliable and calm under pressure, with the ability to manage competing priorities. Highly organised and methodical, with strong attention to detail.
Design Engineer Chancery Lane, London 30,000 - 35,000 + Leading Industry Training + Career Progression + Established Technical Team + Company Stability + Specialist Project Exposure Are you an ambitious Design Engineer looking to develop your technical expertise with a market-leading provider of water efficiency technology? Do you want to work on major commercial rainwater harvesting and greywater recycling projects while building your Revit and AutoCAD capability within a specialist design team? My client is one of the longest established and leading suppliers of water efficiency technologies across the UK and France. With a strong reputation in rainwater harvesting and greywater recycling solutions for large commercial, residential and industrial properties, they pride themselves on innovation, engineering quality and long-term technical expertise. Their success is driven by their talented people, and due to ongoing growth, they are now looking to expand their technical department with a dedicated Design Engineer. In this role, you will support the design process from feasibility through to detailed design and tender stage, producing technical specifications, feasibility proposals and system designs for water reclamation systems. You will create schematic drawings using AutoCAD, assist with 3D coordination modelling in Revit, manage tender quotations, and support key relationships with contractors and consultants. This is an exciting opportunity to join a close-knit technical team where you will be supported to grow into a more senior, technical leadership position over time. The ideal candidate will have engineering work experience, proficiency in AutoCAD, and some exposure to Revit (beneficial but not essential). You should have a relevant engineering qualification (HNC/HND/Degree or equivalent), strong understanding of the design and construction process, and the ability to work both independently and within a team. Candidates commuting long distances will not be considered due to the office-based nature of the role. The Role: Producing feasibility proposals and technical specifications Creating AutoCAD schematics and supporting Revit models Preparing quotations for design and tender enquiries Developing design concepts for water reclamation systems Working with contractors and consultants to meet deadlines The Person: Engineering experience with understanding of design processes Engineering qualification preferred (HNC/HND/Degree) Proficient with AutoCAD; Revit beneficial Able to work independently and within a team Strong communication skills and desire to progress Reference Number: (phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Jan 12, 2026
Full time
Design Engineer Chancery Lane, London 30,000 - 35,000 + Leading Industry Training + Career Progression + Established Technical Team + Company Stability + Specialist Project Exposure Are you an ambitious Design Engineer looking to develop your technical expertise with a market-leading provider of water efficiency technology? Do you want to work on major commercial rainwater harvesting and greywater recycling projects while building your Revit and AutoCAD capability within a specialist design team? My client is one of the longest established and leading suppliers of water efficiency technologies across the UK and France. With a strong reputation in rainwater harvesting and greywater recycling solutions for large commercial, residential and industrial properties, they pride themselves on innovation, engineering quality and long-term technical expertise. Their success is driven by their talented people, and due to ongoing growth, they are now looking to expand their technical department with a dedicated Design Engineer. In this role, you will support the design process from feasibility through to detailed design and tender stage, producing technical specifications, feasibility proposals and system designs for water reclamation systems. You will create schematic drawings using AutoCAD, assist with 3D coordination modelling in Revit, manage tender quotations, and support key relationships with contractors and consultants. This is an exciting opportunity to join a close-knit technical team where you will be supported to grow into a more senior, technical leadership position over time. The ideal candidate will have engineering work experience, proficiency in AutoCAD, and some exposure to Revit (beneficial but not essential). You should have a relevant engineering qualification (HNC/HND/Degree or equivalent), strong understanding of the design and construction process, and the ability to work both independently and within a team. Candidates commuting long distances will not be considered due to the office-based nature of the role. The Role: Producing feasibility proposals and technical specifications Creating AutoCAD schematics and supporting Revit models Preparing quotations for design and tender enquiries Developing design concepts for water reclamation systems Working with contractors and consultants to meet deadlines The Person: Engineering experience with understanding of design processes Engineering qualification preferred (HNC/HND/Degree) Proficient with AutoCAD; Revit beneficial Able to work independently and within a team Strong communication skills and desire to progress Reference Number: (phone number removed) To apply for this role or to be considered for further roles, please click "Apply Now" or contact Maleek Randley at Rise Technical Recruitment. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Sales Administrator South Wales - Cardiff 22026/400 26,250 + Company benefits (Profit share, pension etc) Salary & Benefits A starting salary of 26,250 Annual profit share, up to 10% up to 27 days holiday plus bank holidays 9% company pension (5% employer contribution + 4% employee contribution) Sick pay scheme Life insurance Employee Assistance Programme Free on-site car parking Excellent training and development An exciting opportunity to join a successful award-winning market leader, who has supplied high-quality products and trusted building solutions to some of the most iconic and high-profile projects around the world. This 40-year established, multi-million-pound company with an enviable share of the market has invested heavily in improving the infrastructure and production capacity, is also in a leading position to capitalise on the market growth. Roles & Responsibilities Responding to all customer enquiries via telephone and email, to provide information on projects, quotations, product offers, advice on specifications and lead times. To compile all quotations, interpreting the customers request and in line with the specification if relevant. Provide product guidance to customers and/or any stakeholders in the specification chain to promote the appropriate use and application of products. Ensure correct use and application of the pricing guidelines for all products at quotation stage. Knowledge, Skills & Experience Previous experience in an administration role Need a technical / detailed mind to be able to adapt to the product knowledge. Experience or understanding of a sales environment Previously worked within manufacturing If you are interested, please contact Sam Paynter at (url removed) If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
Jan 12, 2026
Full time
Sales Administrator South Wales - Cardiff 22026/400 26,250 + Company benefits (Profit share, pension etc) Salary & Benefits A starting salary of 26,250 Annual profit share, up to 10% up to 27 days holiday plus bank holidays 9% company pension (5% employer contribution + 4% employee contribution) Sick pay scheme Life insurance Employee Assistance Programme Free on-site car parking Excellent training and development An exciting opportunity to join a successful award-winning market leader, who has supplied high-quality products and trusted building solutions to some of the most iconic and high-profile projects around the world. This 40-year established, multi-million-pound company with an enviable share of the market has invested heavily in improving the infrastructure and production capacity, is also in a leading position to capitalise on the market growth. Roles & Responsibilities Responding to all customer enquiries via telephone and email, to provide information on projects, quotations, product offers, advice on specifications and lead times. To compile all quotations, interpreting the customers request and in line with the specification if relevant. Provide product guidance to customers and/or any stakeholders in the specification chain to promote the appropriate use and application of products. Ensure correct use and application of the pricing guidelines for all products at quotation stage. Knowledge, Skills & Experience Previous experience in an administration role Need a technical / detailed mind to be able to adapt to the product knowledge. Experience or understanding of a sales environment Previously worked within manufacturing If you are interested, please contact Sam Paynter at (url removed) If you are interested in this position please click 'apply'. Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.
AD, VMWare, Exchange, 2nd Line, O365, Azure, Support 2nd Line Support Analyst/Support Engineer - About the company Do you want to be part of a successful organisation, that delivers products for customers that are based worldwide, supporting a range of software applications and customers? 2nd Line Support Analyst/Support Engineer - About the role: The Support Engineer/Analyst role will be office based in their Holywell, Flintshire office, working with the helpdesk team and wider technical teams to provide effective solutions to escalated technical issues, and provide a high level of technical expertise to the business. The role will make you the part of the team for contact for incoming calls into the Service desk, and you will work with other IT Support members on other sites to manage some 1st & 2nd line incidents/calls, and be involved in fixes for users within the site. The role will involve working with technologies such as Desktop applications, Exchange, Windows 7 & 10, Virtualisation (VMWare), Office365, Windows Server, AD, Networking TCP/IP, Firewalls. 2nd Line Support Analyst/Support Engineer - Key Responsibilities: Support Sever and desktop applications, Microsoft, VMWare, AD, Office 365, Windows Server, internal infrastructure and hardware ( laptops) Take ownership of escalated issues from 1st/2nd line and resolving any queries within SLA Resolution of configuration and deployment issues Carry out the initial investigation of incidents reported and escalate where necessary beyond 2nd line Ensure that applications are installed and run efficiently across all platforms Escalate any Major Incidents to the Service Desk Team Leader Handling hardware issues and networking and switching where possible Documentation of resolution of incidents advising on best practice. Monitor the services/systems using SolarWinds tool 2nd Line Support Analyst/Support Engineer - Essential Technical Skills: Candidates must have some exposure to most of the technologies listed below: AD, Windows 7, 10, Exchange IIS & Web Cloud technologies - O365 VMWare - some level of understanding Windows Server 2008, 2012 Imaging and laptop/Pc builds Networking -TCP/IP, Switches, DNS, DHCP Hardware support and configuration 2nd Line Support Analyst/Support Engineer - Benefits (Negotiable) Basic salary of up to £34,000 on offer Pension up to 5% contribution Life cover Bonus scheme c£2000 paid quarterly Additional company benefits Candidates will have a strong customer service ethos and passion for resolving queries to a high stand within SLA's. Candidates will have a broad technical skill set and be keen to look at learning new technologies including working with Office365. The role will be based at their Holywell office. If you are keen to join progressive company, gain exposure to a diverse array of technologies, and gain some internal training and development please apply. You will be given the opportunity to learn and progress within the organisation. and make an impact with their technical environment Langland Consultants acts as an Employment Agency/Business with regards to this vacancy. As an Equal Opportunities employer, Langland Consultants welcomes applications regardless of race, gender, nationality, ethnic origin, sexual orientation, religion, marital status, disability or age. All applicants are considered on the basis of their merits and abilities for the job. By applying to a job advertised by Langland Consultants or providing your contact information to show interest in a job advertised by Langland Consultants, you consent to the disclosure of your information to us in order to assist our legitimate business needs. This includes agreeing to us in storing your information and allowing us to contact you in regard to suitable job opportunities in the future. You are within your rights to ask us to remove your information at any time.
Jan 12, 2026
Full time
AD, VMWare, Exchange, 2nd Line, O365, Azure, Support 2nd Line Support Analyst/Support Engineer - About the company Do you want to be part of a successful organisation, that delivers products for customers that are based worldwide, supporting a range of software applications and customers? 2nd Line Support Analyst/Support Engineer - About the role: The Support Engineer/Analyst role will be office based in their Holywell, Flintshire office, working with the helpdesk team and wider technical teams to provide effective solutions to escalated technical issues, and provide a high level of technical expertise to the business. The role will make you the part of the team for contact for incoming calls into the Service desk, and you will work with other IT Support members on other sites to manage some 1st & 2nd line incidents/calls, and be involved in fixes for users within the site. The role will involve working with technologies such as Desktop applications, Exchange, Windows 7 & 10, Virtualisation (VMWare), Office365, Windows Server, AD, Networking TCP/IP, Firewalls. 2nd Line Support Analyst/Support Engineer - Key Responsibilities: Support Sever and desktop applications, Microsoft, VMWare, AD, Office 365, Windows Server, internal infrastructure and hardware ( laptops) Take ownership of escalated issues from 1st/2nd line and resolving any queries within SLA Resolution of configuration and deployment issues Carry out the initial investigation of incidents reported and escalate where necessary beyond 2nd line Ensure that applications are installed and run efficiently across all platforms Escalate any Major Incidents to the Service Desk Team Leader Handling hardware issues and networking and switching where possible Documentation of resolution of incidents advising on best practice. Monitor the services/systems using SolarWinds tool 2nd Line Support Analyst/Support Engineer - Essential Technical Skills: Candidates must have some exposure to most of the technologies listed below: AD, Windows 7, 10, Exchange IIS & Web Cloud technologies - O365 VMWare - some level of understanding Windows Server 2008, 2012 Imaging and laptop/Pc builds Networking -TCP/IP, Switches, DNS, DHCP Hardware support and configuration 2nd Line Support Analyst/Support Engineer - Benefits (Negotiable) Basic salary of up to £34,000 on offer Pension up to 5% contribution Life cover Bonus scheme c£2000 paid quarterly Additional company benefits Candidates will have a strong customer service ethos and passion for resolving queries to a high stand within SLA's. Candidates will have a broad technical skill set and be keen to look at learning new technologies including working with Office365. The role will be based at their Holywell office. If you are keen to join progressive company, gain exposure to a diverse array of technologies, and gain some internal training and development please apply. You will be given the opportunity to learn and progress within the organisation. and make an impact with their technical environment Langland Consultants acts as an Employment Agency/Business with regards to this vacancy. As an Equal Opportunities employer, Langland Consultants welcomes applications regardless of race, gender, nationality, ethnic origin, sexual orientation, religion, marital status, disability or age. All applicants are considered on the basis of their merits and abilities for the job. By applying to a job advertised by Langland Consultants or providing your contact information to show interest in a job advertised by Langland Consultants, you consent to the disclosure of your information to us in order to assist our legitimate business needs. This includes agreeing to us in storing your information and allowing us to contact you in regard to suitable job opportunities in the future. You are within your rights to ask us to remove your information at any time.
Trainee Recruitment Consultant (No experience required) 25,000 basic salary + Uncapped commission (OTE 40K+ year 1) + Progression + Full Training Bristol, City Centre JANUARY 2026 START DATES Are you looking for exceptional earning potential whilst progressing your career to management and director level roles? Are you tenacious, highly ambitious and looking to kickstart your recruitment career in a rapidly growing company? Rise Technical Recruitment is a fast-growing team with offices in Bristol, London, Exeter, Miami and Austin. We are a dynamic and forward-thinking company with an emphasis on an empowered culture whilst growing worldwide. With a great company culture and nominations for the prestigious REC Awards 'Best Company to work for (over 50 employees)' - we strive to create a platform for high performers to achieve life changing results. We look for tenacious and outgoing people with exceptional communication skills, who will thrive in a fast-paced and sales-based role to achieve their goals. This role is ideal for someone looking for a career without limits, uncapped earning potential and ambitions to join a fast growing SME as we scale in the UK and Worldwide. At Rise Progression : Target/merit based progression with the opportunity for leadership & Director level roles Commission : 10-40% of everything that you invoice. Opportunity in year 1 to earn 50k- 80k Training : Industry-leading training from our L&D team and access to tools for continuous self-development Company Growth : From a 3-person start-up to nearly 200 people across Bristol, London, Miami, and Austin. We're now expanding into Dubai, Australia, and beyond - with future overseas relocation opportunities available Culture : High-performance, goal driven and great social atmosphere whilst reaching your own goals. Winner of prestigious REC Awards Best Company to Work For 2025 Benefits: Other benefits such as, incentives, luxury trips abroad, weekly prizes, life insurance, enhanced maternity/paternity, quarterly payrise targets and many more. The Person Highly Ambitious : Not afraid of a challenge and eager to accelerate their career Goal-Driven : Sets big personal and professional goals Excellent Communicator : Confident on the phone, skilled in negotiation, and able to consult clients and candidates effectively Competitive & a Team Player : Thrives in a high-performance culture, but always supports the team Resilient : Recruitment and sales can be tough - you'll need to bounce back quickly and stay driven Role: 360 Recruitment Build and manage relationships with both clients (businesses) and candidates Win new business through outbound B2B sales & cold calling Source, interview, and place great candidates across the engineering, energy, tech, construction, and education sectors Act as a trusted consultant throughout the hiring process - managin both client and candidate relationships Apply now or contact (url removed) Equal opportunities employer. Don't meet every requirement? Apply anyway - we value ambition and work ethic over perfect CVs. To Apply for this role or to be considered for further roles, please click "Apply Now' or contact Talent Acquisition at (url removed), we'll be in touch if your application progresses. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
Jan 12, 2026
Full time
Trainee Recruitment Consultant (No experience required) 25,000 basic salary + Uncapped commission (OTE 40K+ year 1) + Progression + Full Training Bristol, City Centre JANUARY 2026 START DATES Are you looking for exceptional earning potential whilst progressing your career to management and director level roles? Are you tenacious, highly ambitious and looking to kickstart your recruitment career in a rapidly growing company? Rise Technical Recruitment is a fast-growing team with offices in Bristol, London, Exeter, Miami and Austin. We are a dynamic and forward-thinking company with an emphasis on an empowered culture whilst growing worldwide. With a great company culture and nominations for the prestigious REC Awards 'Best Company to work for (over 50 employees)' - we strive to create a platform for high performers to achieve life changing results. We look for tenacious and outgoing people with exceptional communication skills, who will thrive in a fast-paced and sales-based role to achieve their goals. This role is ideal for someone looking for a career without limits, uncapped earning potential and ambitions to join a fast growing SME as we scale in the UK and Worldwide. At Rise Progression : Target/merit based progression with the opportunity for leadership & Director level roles Commission : 10-40% of everything that you invoice. Opportunity in year 1 to earn 50k- 80k Training : Industry-leading training from our L&D team and access to tools for continuous self-development Company Growth : From a 3-person start-up to nearly 200 people across Bristol, London, Miami, and Austin. We're now expanding into Dubai, Australia, and beyond - with future overseas relocation opportunities available Culture : High-performance, goal driven and great social atmosphere whilst reaching your own goals. Winner of prestigious REC Awards Best Company to Work For 2025 Benefits: Other benefits such as, incentives, luxury trips abroad, weekly prizes, life insurance, enhanced maternity/paternity, quarterly payrise targets and many more. The Person Highly Ambitious : Not afraid of a challenge and eager to accelerate their career Goal-Driven : Sets big personal and professional goals Excellent Communicator : Confident on the phone, skilled in negotiation, and able to consult clients and candidates effectively Competitive & a Team Player : Thrives in a high-performance culture, but always supports the team Resilient : Recruitment and sales can be tough - you'll need to bounce back quickly and stay driven Role: 360 Recruitment Build and manage relationships with both clients (businesses) and candidates Win new business through outbound B2B sales & cold calling Source, interview, and place great candidates across the engineering, energy, tech, construction, and education sectors Act as a trusted consultant throughout the hiring process - managin both client and candidate relationships Apply now or contact (url removed) Equal opportunities employer. Don't meet every requirement? Apply anyway - we value ambition and work ethic over perfect CVs. To Apply for this role or to be considered for further roles, please click "Apply Now' or contact Talent Acquisition at (url removed), we'll be in touch if your application progresses. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates.
LA International Computer Consultants Ltd
Knutsford, Cheshire
Role Overview The SRE Expert/Coach will lead the design, development, and delivery of advanced training programs and technical bootcamps to elevate the skills of aspiring SREs. This role is pivotal in driving SRE adoption, embedding best practices, and fostering a culture of reliability and automation across the organization. The coach will work closely with engineering, operations, and product teams to ensure training aligns with business needs and industry standards. Key Responsibilities * Training Program Design & Delivery o Develop progressive, hands-on training materials and bootcamp curricula for SRE fundamentals, intermediate, and advanced levels. o Deliver technical bootcamps (in-person and virtual) tailored to diverse audiences, including engineers, tech leads, and managers. o Facilitate workshops, awareness sessions, and Embedded coaching to support SRE transformation journeys. o Customize training content for multiple technology stacks (AWS, Azure, GCP, Private Cloud) and organizational personas. o Assess learning needs, conduct capability gap analysis, and design targeted learning pathways. * Technical Leadership & Mentoring o Mentor and coach junior SREs and cross-functional teams on reliability engineering principles, automation, and incident management. o Guide teams in implementing Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets. o Promote best practices in monitoring, observability, and blameless postmortems. * Content Development & Continuous Improvement o Curate and create E-learning modules, assessments, and certification pathways. o Evaluate and iterate training materials based on feedback and evolving industry standards. o Collaborate with internal and external stakeholders to ensure training effectiveness and relevance. Key Skills & Experience * Proven experience as a Site Reliability Engineer, SRE Coach, or similar role in large-scale cloud environments. * Deep expertise in cloud infrastructure (AWS, Azure, GCP), automation (Terraform, Ansible, CloudFormation), and CI/CD pipelines. * Strong background in incident response, root cause analysis, and reliability engineering. * Experience designing and delivering technical training, bootcamps, or workshops for engineering teams. * Excellent communication, facilitation, and mentoring skills. * Ability to tailor content for multicultural and geographically distributed teams (UK, India). * Familiarity with industry frameworks and best practices (Google SRE, DevOps, ITIL). Certifications (Preferred) * SRE Foundation (DevOps Institute) * Google Professional SRE Certification * IBM Certified Professional SRE - Cloud v2 * AWS/Azure/GCP Cloud Certifications * Any other relevant DevOps or Agile coaching certifications Education * Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience). Benefits & Opportunities * Opportunity to shape the SRE capability and culture within a global organization. * Work with cutting-edge technologies and industry leaders. * Access to continuous professional development and certification programs. * Flexible work arrangements (UK hybrid options). LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
Jan 12, 2026
Contractor
Role Overview The SRE Expert/Coach will lead the design, development, and delivery of advanced training programs and technical bootcamps to elevate the skills of aspiring SREs. This role is pivotal in driving SRE adoption, embedding best practices, and fostering a culture of reliability and automation across the organization. The coach will work closely with engineering, operations, and product teams to ensure training aligns with business needs and industry standards. Key Responsibilities * Training Program Design & Delivery o Develop progressive, hands-on training materials and bootcamp curricula for SRE fundamentals, intermediate, and advanced levels. o Deliver technical bootcamps (in-person and virtual) tailored to diverse audiences, including engineers, tech leads, and managers. o Facilitate workshops, awareness sessions, and Embedded coaching to support SRE transformation journeys. o Customize training content for multiple technology stacks (AWS, Azure, GCP, Private Cloud) and organizational personas. o Assess learning needs, conduct capability gap analysis, and design targeted learning pathways. * Technical Leadership & Mentoring o Mentor and coach junior SREs and cross-functional teams on reliability engineering principles, automation, and incident management. o Guide teams in implementing Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets. o Promote best practices in monitoring, observability, and blameless postmortems. * Content Development & Continuous Improvement o Curate and create E-learning modules, assessments, and certification pathways. o Evaluate and iterate training materials based on feedback and evolving industry standards. o Collaborate with internal and external stakeholders to ensure training effectiveness and relevance. Key Skills & Experience * Proven experience as a Site Reliability Engineer, SRE Coach, or similar role in large-scale cloud environments. * Deep expertise in cloud infrastructure (AWS, Azure, GCP), automation (Terraform, Ansible, CloudFormation), and CI/CD pipelines. * Strong background in incident response, root cause analysis, and reliability engineering. * Experience designing and delivering technical training, bootcamps, or workshops for engineering teams. * Excellent communication, facilitation, and mentoring skills. * Ability to tailor content for multicultural and geographically distributed teams (UK, India). * Familiarity with industry frameworks and best practices (Google SRE, DevOps, ITIL). Certifications (Preferred) * SRE Foundation (DevOps Institute) * Google Professional SRE Certification * IBM Certified Professional SRE - Cloud v2 * AWS/Azure/GCP Cloud Certifications * Any other relevant DevOps or Agile coaching certifications Education * Bachelor's or Master's degree in Computer Science, Engineering, or related field (or equivalent experience). Benefits & Opportunities * Opportunity to shape the SRE capability and culture within a global organization. * Work with cutting-edge technologies and industry leaders. * Access to continuous professional development and certification programs. * Flexible work arrangements (UK hybrid options). LA International is a HMG approved ICT Recruitment and Project Solutions Consultancy, operating globally from the largest single site in the UK as an IT Consultancy or as an Employment Business & Agency depending upon the precise nature of the work, for security cleared jobs or non-clearance vacancies, LA International welcome applications from all sections of the community and from people with diverse experience and backgrounds. Award Winning LA International, winner of the Recruiter Awards for Excellence, Best IT Recruitment Company, Best Public Sector Recruitment Company and overall Gold Award winner, has now secured the most prestigious business award that any business can receive, The Queens Award for Enterprise: International Trade, for the second consecutive period.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Oxford University Hospitals NHS Foundation Trust
Oxford, Oxfordshire
Data and Admin Manager - Intestinal Failure NHS AfC: Band 5 Main area Administration Grade NHS AfC: Band 5 Contract Permanent Hours Part time - 25 hours per week Job ref 321-SW B5-EXT Site John Radcliffe Hospitals Town Oxford Salary £31,049 - £37,796 Per annum Pro rata Salary period Yearly Closing 20/01/:59 Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises of four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call thisDelivering Compassionate Excellenceand its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. Many of our recruitment programmes useValue Based Interviewingto identify those who have the skills we seek, who share our values and who are able to deliver compassionate excellence from the outset. We know that this makes a significant difference to your job satisfaction and above all the outcomes and experience of our patients and their families. For more information about our Values and Value Based Interviewing please visit Job overview The Data and Admin Manager will organise the management and treatment for patients with Intestinal Failure in England, the NHS has divided the country into a number of regions. Oxford University Hospitals NHS Foundation Trust (OUH) was awarded the tender to provide care for these patients across the Buckinghamshire, Oxfordshire and Berkshire region (BOB). A key component of this post includes the collection of data across the region and the delivery of data to NHS England. The post holder must be IT literate, and an excellent communicator and team player. Main duties of the job The post holder will lead on development and coordination of the IT aspects of the service and associated projects. The role involves high levels of interaction with all members of the Multidisciplinary Team (MDT) to understand user requirements and specification, including improvements to standard requirements, and providing adaptive solutions to the needs of specific studies. The post holder will be responsible for ensuring that the data systems meets information governance and data security requirements, and that confidentiality of our volunteers is maintained. Working for our organisation Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via the OUH YouTube channel . In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to the ten core principles Oxford University Hospital's promotes a safe, respectful hiring environment. If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism. Detailed job description and main responsibilities General Administrative Duties Coordinate various local and regional meetings. Compiling agendas and papers, and taking formal notes for circulation Provide a high standard of general administrative support to the team, ensuring that tasks are carried out in a timely manner. Data and Performance Management Take a lead role in the clinical data management of the service. Manage access control and security of the database(s) Maintain and tailor databases and their associated application tools according to the needs of the team Optimise the coordination of all data management and processing activities and to provide updates and training to the team where necessary. Implementing dataset reporting arrangements for all partners Produce data summaries and custom data exports at the request of the leads. General Report incidents using the Trust Incident reporting system and support the investigation, review and learning from incidents. Investigate and co-ordinate responses to informal and formal patient complaints. Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Person specification MS office skills, powerpoint Minute taking High standard of spoken and written English Evidence of positive approach to working in complex environments Working with databases Capable of working with minimal supervision NHS Experience Working with databases Working under pressure COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of course our patients from the virus when working in our healthcare settings. Whilst COVID-19 vaccination is not a condition of employment , we do encourage our staff to get vaccinated. If you are unvaccinated there is helpful advice and information at Oxfordshire County Council Website where you can also find out more about how to access vaccination. Vacancy Closures: Please note, this vacancy may close early if a high volume of applications are received. Probation Period: This post is subject to a 6 month probationary period. If you currently hold a contract of employment with the Oxford University Hospitals, this will not apply. This statement does not apply to Medical staff or Executive Appointments. Referencing: When providing employment reference details please provide correct work related email addresses so references can be sought promptly when we are looking to progress your application. Your first referee will need to be your line manager, supervisor or clinical lead from your current or most recent post or place of study. Please note that if you have previously worked for the Trust we will require a reference from your last Manager, this information is essential if your offer of employment is to be confirmed. Next Steps: Please make sure that you read the job description and person specification, and that your supporting statement reflects this as your application will be judged against these criteria. Candidates selected for interview will be contacted after the short-listing process, usually within 2 weeks. (Please note that shortlisting times vary when applying for a Medical position within the Trust). The majority of correspondence will be via the e-recruitment system; therefore you should check your emails regularly including junk mail folders in web-based email products. No unsolicited recruitment agency telephone calls or emails. Employer certification / accreditation badges You must have appropriate UK professional registration. Application numbers Please note that this job advertisement will close automatically once the application limit is reached, regardless of whether this occurs before the advertised closing date. Name Emily Dallimore Job title Assistant Service Manager Gastroenterology Email address Additional information Abbie Glover Service manager for Gastroenterology & Hepatology Band 5 Nurse and Band 2 Healthcare Support Worker recruitment is centralised, meaning when you apply you will be considered for a number of roles across the Trust. If you have any questions please email: . Vacancies with our PFI partners Domestic / catering / portering services at theJohn Radcliffe Hospital are provided byMitie. Domestic / catering / portering / maintenance engineer services at theChurchill Hospital andNuffield Orthopaedic Centre are provided byG4S. Maintenance engineer services at the John Radcliffe Hospital are provided by Equans. Fraudulent recruiters have been using social media platforms to dupe potential job seekers into divulging personal and financial information. Sophisticated frauds, involving grooming of targeted individuals, shows the fake recruiter asking the unsuspecting job seeker to take part in a fake job interview, either over the phone or via WhatsApp, and also sending fraudulent follow-up correspondence offering job positions. . click apply for full job details
Jan 12, 2026
Full time
Data and Admin Manager - Intestinal Failure NHS AfC: Band 5 Main area Administration Grade NHS AfC: Band 5 Contract Permanent Hours Part time - 25 hours per week Job ref 321-SW B5-EXT Site John Radcliffe Hospitals Town Oxford Salary £31,049 - £37,796 Per annum Pro rata Salary period Yearly Closing 20/01/:59 Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises of four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call thisDelivering Compassionate Excellenceand its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. Many of our recruitment programmes useValue Based Interviewingto identify those who have the skills we seek, who share our values and who are able to deliver compassionate excellence from the outset. We know that this makes a significant difference to your job satisfaction and above all the outcomes and experience of our patients and their families. For more information about our Values and Value Based Interviewing please visit Job overview The Data and Admin Manager will organise the management and treatment for patients with Intestinal Failure in England, the NHS has divided the country into a number of regions. Oxford University Hospitals NHS Foundation Trust (OUH) was awarded the tender to provide care for these patients across the Buckinghamshire, Oxfordshire and Berkshire region (BOB). A key component of this post includes the collection of data across the region and the delivery of data to NHS England. The post holder must be IT literate, and an excellent communicator and team player. Main duties of the job The post holder will lead on development and coordination of the IT aspects of the service and associated projects. The role involves high levels of interaction with all members of the Multidisciplinary Team (MDT) to understand user requirements and specification, including improvements to standard requirements, and providing adaptive solutions to the needs of specific studies. The post holder will be responsible for ensuring that the data systems meets information governance and data security requirements, and that confidentiality of our volunteers is maintained. Working for our organisation Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via the OUH YouTube channel . In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to the ten core principles Oxford University Hospital's promotes a safe, respectful hiring environment. If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism. Detailed job description and main responsibilities General Administrative Duties Coordinate various local and regional meetings. Compiling agendas and papers, and taking formal notes for circulation Provide a high standard of general administrative support to the team, ensuring that tasks are carried out in a timely manner. Data and Performance Management Take a lead role in the clinical data management of the service. Manage access control and security of the database(s) Maintain and tailor databases and their associated application tools according to the needs of the team Optimise the coordination of all data management and processing activities and to provide updates and training to the team where necessary. Implementing dataset reporting arrangements for all partners Produce data summaries and custom data exports at the request of the leads. General Report incidents using the Trust Incident reporting system and support the investigation, review and learning from incidents. Investigate and co-ordinate responses to informal and formal patient complaints. Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Person specification MS office skills, powerpoint Minute taking High standard of spoken and written English Evidence of positive approach to working in complex environments Working with databases Capable of working with minimal supervision NHS Experience Working with databases Working under pressure COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of course our patients from the virus when working in our healthcare settings. Whilst COVID-19 vaccination is not a condition of employment , we do encourage our staff to get vaccinated. If you are unvaccinated there is helpful advice and information at Oxfordshire County Council Website where you can also find out more about how to access vaccination. Vacancy Closures: Please note, this vacancy may close early if a high volume of applications are received. Probation Period: This post is subject to a 6 month probationary period. If you currently hold a contract of employment with the Oxford University Hospitals, this will not apply. This statement does not apply to Medical staff or Executive Appointments. Referencing: When providing employment reference details please provide correct work related email addresses so references can be sought promptly when we are looking to progress your application. Your first referee will need to be your line manager, supervisor or clinical lead from your current or most recent post or place of study. Please note that if you have previously worked for the Trust we will require a reference from your last Manager, this information is essential if your offer of employment is to be confirmed. Next Steps: Please make sure that you read the job description and person specification, and that your supporting statement reflects this as your application will be judged against these criteria. Candidates selected for interview will be contacted after the short-listing process, usually within 2 weeks. (Please note that shortlisting times vary when applying for a Medical position within the Trust). The majority of correspondence will be via the e-recruitment system; therefore you should check your emails regularly including junk mail folders in web-based email products. No unsolicited recruitment agency telephone calls or emails. Employer certification / accreditation badges You must have appropriate UK professional registration. Application numbers Please note that this job advertisement will close automatically once the application limit is reached, regardless of whether this occurs before the advertised closing date. Name Emily Dallimore Job title Assistant Service Manager Gastroenterology Email address Additional information Abbie Glover Service manager for Gastroenterology & Hepatology Band 5 Nurse and Band 2 Healthcare Support Worker recruitment is centralised, meaning when you apply you will be considered for a number of roles across the Trust. If you have any questions please email: . Vacancies with our PFI partners Domestic / catering / portering services at theJohn Radcliffe Hospital are provided byMitie. Domestic / catering / portering / maintenance engineer services at theChurchill Hospital andNuffield Orthopaedic Centre are provided byG4S. Maintenance engineer services at the John Radcliffe Hospital are provided by Equans. Fraudulent recruiters have been using social media platforms to dupe potential job seekers into divulging personal and financial information. Sophisticated frauds, involving grooming of targeted individuals, shows the fake recruiter asking the unsuspecting job seeker to take part in a fake job interview, either over the phone or via WhatsApp, and also sending fraudulent follow-up correspondence offering job positions. . click apply for full job details
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Test Engineer - Electrical/Electronic South Wales £35,000 - £42,000 + leading benefits package Yolk Engineering is exclusively partnered with a growing advanced manufacturing business known for its next generation products and innovation in manufacturing. This is a new opportunity that will combine an involvement in NPI projects, equipment design and delivering next generation test systems for some of the most advanced tech in the world. This role will bring together your hands on engineering capabilitie, analytical mindset and the ability to problem solve in a highly collaborative environment. This is what you'll be doing Working with NPI teams to develop test systems that meet product and manufacturing needs Building and introducing those systems into production Analysing test data to identify issues or opportunities to optimise performance Contributing to Design for Manufacture (DFM) reviews Leading Test activities in NPI and other engineering Projects What we're looking for A degree in electronic or electrical engineering (or equivalent experience) Good communication skills and the confidence to work across teams A practical, problem-solving mindset and the ability to work independently A strong interest in innovation and improving the way things are done Desirable: knowledge of C/C++. MODBUS or similar communication protocols, electronic design knowledge And this is what you'll get in return Salary depending on experience Company pension Private healthcare Annual company bonus 25 days holiday + 8 bank holidays Significant training resources and time given for development Proven progression opportunities Are you up to the challenge? If you feel you have the skills, experience and passion to be successful in this Test Engineer role apply now. .Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
Jan 12, 2026
Full time
Test Engineer - Electrical/Electronic South Wales £35,000 - £42,000 + leading benefits package Yolk Engineering is exclusively partnered with a growing advanced manufacturing business known for its next generation products and innovation in manufacturing. This is a new opportunity that will combine an involvement in NPI projects, equipment design and delivering next generation test systems for some of the most advanced tech in the world. This role will bring together your hands on engineering capabilitie, analytical mindset and the ability to problem solve in a highly collaborative environment. This is what you'll be doing Working with NPI teams to develop test systems that meet product and manufacturing needs Building and introducing those systems into production Analysing test data to identify issues or opportunities to optimise performance Contributing to Design for Manufacture (DFM) reviews Leading Test activities in NPI and other engineering Projects What we're looking for A degree in electronic or electrical engineering (or equivalent experience) Good communication skills and the confidence to work across teams A practical, problem-solving mindset and the ability to work independently A strong interest in innovation and improving the way things are done Desirable: knowledge of C/C++. MODBUS or similar communication protocols, electronic design knowledge And this is what you'll get in return Salary depending on experience Company pension Private healthcare Annual company bonus 25 days holiday + 8 bank holidays Significant training resources and time given for development Proven progression opportunities Are you up to the challenge? If you feel you have the skills, experience and passion to be successful in this Test Engineer role apply now. .Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Jan 12, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Lead Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
