1375 jobs found

Software Engineer (API Development / Backend - Node.js, C#) Birmingham, West Midlands (Hybrid - 1 day onsite a week)£50-55k + BenefitsWe're partnering with a leading enterprise software house in Birmingham that is expanding its engineering team. They're looking for a Software Engineer with strong API and backend development experience to work on complex, high-performing systems used by global clients.This Developer role offers the opportunity to build and enhance large-scale, data-driven applications with a focus on reliability, scalability, and performance.As a Software Engineer, you'll take ownership of backend services and integrations, designing and developing robust APIs that power enterprise software products. You'll work primarily with Node.js and C#, collaborating with cross-functional teams to deliver well-architected, maintainable solutions. Key Responsibilities Design, build, and maintain RESTful APIs and backend systems. Develop high-quality, scalable code using Node.js and C#. Collaborate with product and engineering teams to define technical solutions. Ensure best practices in testing, deployment, and CI/CD. Optimise performance, security, and maintainability of backend services. Support occasional front-end integration using React (desirable, not essential). Skills & Experience 4+ years' commercial experience in backend/API development. Strong expertise in Node.js and C#. Solid understanding of REST API design and implementation. Experience with cloud computing and CI/CD pipelines. Knowledge of automated testing tools Familiarity with React or modern JavaScript frameworks (advantageous). Excellent problem-solving, collaboration, and communication skills. Join a forward-thinking Software engineering team focused on quality and innovation, where you will work on high-impact enterprise software projects.

Job Title: Senior Application Security EngineerSalary: £70,000Location: Reading/remote About the Organisation Join a fast-growing UK technology and consulting firm that's investing heavily in cutting-edge cyber security. With a strong focus on innovation, collaboration, and professional development, this company empowers its people to shape the future of secure digital transformation across a wide range of industries.You'll be part of a business that values expertise, agility, and doing the right thing - where everyone has the opportunity to make a genuine impact. About the Role The Senior Application Security Engineer will play a key role in protecting the organisation's infrastructure, cloud platforms, and applications. Working within a highly technical and collaborative cyber team - supported by a 24/7 external SOC - you'll research, test, and implement next-generation security solutions to safeguard data and systems. This role offers the chance to lead on application and cloud security initiatives, influence secure design standards, and mentor colleagues in best practices. Key Responsibilities Lead application and cloud security initiatives, ensuring systems and software are secure by design. Drive vulnerability management and implement a risk-based approach across the technology stack. Perform security testing (SAST, DAST, SCA) and work with developers to remediate findings. Support cloud security controls (primarily Azure, including cloud-native apps). Champion secure development, threat modelling, and DevSecOps integration. Research emerging threats and recommend proactive mitigations. Provide mentoring, training, and security awareness support to internal teams. Essential Skills & Experience Strong hands-on experience in application and cloud security engineering. Deep understanding of web app vulnerabilities (OWASP Top 10, CWE) and secure coding practices. Proficiency with security testing tools and vulnerability management platforms. Broad knowledge of network and infrastructure security concepts (WAFs, ACLs, VPNs, etc.). Familiarity with security frameworks and principles such as Zero Trust and risk-based security. Relevant certifications such as CISSP, CompTIA Security+, GIAC, or equivalent. Excellent documentation, communication, and stakeholder collaboration skills. Desirable Background in threat modelling or secure software design. Knowledge of ISO27001, Cyber Essentials Plus, or cloud security certifications. Experience in large-scale or regulated environments. What's on Offer Competitive salary with annual bonus potential. 25 days holiday (plus flexible bank holidays and holiday trading). Excellent pension scheme with matched contributions. Healthcare cash plan and wellbeing support. Access to digital GP and employee assistance programme. Volunteering days, referral bonuses, and retail discounts. A flexible, inclusive, and forward-thinking workplace culture. This is an opportunity to be at the forefront of modern application security - influencing strategy, shaping solutions, and working in a team that truly values your expertise.

Job Title: Senior Application Security EngineerSalary: £70,000Location: Reading/remote About the Organisation Join a fast-growing UK technology and consulting firm that's investing heavily in cutting-edge cyber security. With a strong focus on innovation, collaboration, and professional development, this company empowers its people to shape the future of secure digital transformation across a wide range of industries.You'll be part of a business that values expertise, agility, and doing the right thing - where everyone has the opportunity to make a genuine impact. About the Role The Senior Application Security Engineer will play a key role in protecting the organisation's infrastructure, cloud platforms, and applications. Working within a highly technical and collaborative cyber team - supported by a 24/7 external SOC - you'll research, test, and implement next-generation security solutions to safeguard data and systems. This role offers the chance to lead on application and cloud security initiatives, influence secure design standards, and mentor colleagues in best practices. Key Responsibilities Lead application and cloud security initiatives, ensuring systems and software are secure by design. Drive vulnerability management and implement a risk-based approach across the technology stack. Perform security testing (SAST, DAST, SCA) and work with developers to remediate findings. Support cloud security controls (primarily Azure, including cloud-native apps). Champion secure development, threat modelling, and DevSecOps integration. Research emerging threats and recommend proactive mitigations. Provide mentoring, training, and security awareness support to internal teams. Essential Skills & Experience Strong hands-on experience in application and cloud security engineering. Deep understanding of web app vulnerabilities (OWASP Top 10, CWE) and secure coding practices. Proficiency with security testing tools and vulnerability management platforms. Broad knowledge of network and infrastructure security concepts (WAFs, ACLs, VPNs, etc.). Familiarity with security frameworks and principles such as Zero Trust and risk-based security. Relevant certifications such as CISSP, CompTIA Security+, GIAC, or equivalent. Excellent documentation, communication, and stakeholder collaboration skills. Desirable Background in threat modelling or secure software design. Knowledge of ISO27001, Cyber Essentials Plus, or cloud security certifications. Experience in large-scale or regulated environments. What's on Offer Competitive salary with annual bonus potential. 25 days holiday (plus flexible bank holidays and holiday trading). Excellent pension scheme with matched contributions. Healthcare cash plan and wellbeing support. Access to digital GP and employee assistance programme. Volunteering days, referral bonuses, and retail discounts. A flexible, inclusive, and forward-thinking workplace culture. This is an opportunity to be at the forefront of modern application security - influencing strategy, shaping solutions, and working in a team that truly values your expertise.

Systems Engineer - Defence, Maritime, Air, Land, Joint S&T and Defence Digital Projects Location - Bristol Salary: £35K-£55K plus Our client provides science and technology consultancy expertise to help solve the most complex challenges faced by mission-critical defence programmes. Their defence practice works in partnership with national government bodies, international institutions, and global prime contractors on developing and leveraging next-generation technologies, enterprise transformation, feasibility analysis, system engineering, and programme delivery across S&T, Maritime, Air, Land, Joint, and defence digital projects. Key Responsibilities re role of Systems Engineer: As a Systems Engineer you will play a pivotal role in MOD programme across the CADMID cycle and in several domains, providing expert consultation to design, develop, and integrate complex systems and technologies. We are looking for Systems Engineers with broad expertise in one or more disciplines, including System Design and Architecture: Lead the development and refinement of system architectures for defence projects. Collaborate with cross-functional teams to ensure system designs meet the unique requirements of the UK MoD. Model-Based Systems Engineering (MBSE): Utilise MBSE methodologies and tools to create models, simulations, and documentation that aid in requirement analysis, system design, and verification processes. Requirements Engineering and Management: Identify and consult stakeholders to capture User needs and define requirements, measures of effectiveness, and performance. Capture evidence to support procurement activities. Develop, analyse and manage user and system-level requirements for MOD projects. Ensure clarity, completeness, and consistency with project objectives. Conduct thorough requirements analysis and traceability, ensuring alignment with UK MoD specifications. Develop and manage requirements documentation throughout the project lifecycle. The Role - Systems Engineering Consultant This will include working with clients to analyse their problems; capture requirements; create architectures; identify potential options; assess solutions using systems analysis methods; and make recommendations based on robust evidence. Projects will typically be in support of research and procurement activities in the defence and security sector but may include work in other sectors and government departments. Responsibilities will include: Delivering/ leading technical consulting projects. Using systems engineering to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Applying and developing systems engineering methods, tools and techniques, including developing and applying novel approaches where required. Working organically in customer teams to deliver high quality systems engineering advice & artefacts. Building new relationships and maintaining current customer relationships. Assisting/ leading in identifying and winning work for a new and growing consultancy. About You The successful candidate must be able to demonstrate the following essential and desirable attributes: Essential Educated to degree level, or equivalent relevant experience. Ability to use and apply both 'soft' and 'hard' systems engineering techniques to support system design/ development, business decision making, policy development, and/or research. Development, application, and delivery of systems engineering methods, tools and artefacts. Knowledge and Understanding of the Systems Engineering Lifecycle. Building and maintaining client and stakeholder relationships. Authoring technical reports, developing systems engineering artefacts, and presenting to customers. Experience in one or more of the following systems engineering technical specialisms: Requirements elicitation and derivation Enterprise & System Architecting Verification & Validation/ Test & Evaluation System Integration Technology & Capability Roadmapping Capability/ Effects-based Engineering Option Analysis/ Solution trade-off studies Risk management and analysis Workshop design and facilitation Desirable Experience of using specialist Systems Engineering Software (e.g. Sparx EA) to develop SE Artefacts. Experience of delivering projects via MBSE. Experience of working in UK Defence or UK Government Departments utilising Systems Engineering. Membership of relevant professional institution and a desire for further professional development. Ability to travel to client sites across the UK as required. Systems Engineer - Defence, Maritime, Air, Land, Joint S&T and Defence Digital Projects

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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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. The Senior Machine Learning Engineer will play a key role in shaping the future of voice at Sky - building the intelligence that makes talking to your TV feel natural, responsive, and effortless. You'll design, develop, and maintain applied machine learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of-the-art techniques. Technical Skills and Coding Practices Proven ability to refactor and write performant, secure, and clean code; strong experience with Python and ML libraries/frameworks, plus a desire to learn additional languages. Cloud and Infrastructure Experience Hands-on experience with cloud services commonly used in serverless applications, following best practices (e.g., AWS Lambda), and working with CI/CD in agile teams. Large-Scale and Customer-Facing Solutions Strong experience building in-house models and solutions for customer-facing products, including large-scale ML systems serving tens of millions of users. Product Development and Delivery End-to-end product development skills with a passion for technology, fast-paced delivery, and a restless attitude to continuously improve speed and quality. Leadership and Collaboration Good communicator, team player, and tech leader who can also contribute individually; strong positive attitude toward success and failure. Analytical and Innovative Mindset Strong analytical skills with measurable impact, familiarity with Generative AI and its production applications, and a drive to innovate. Academic and Research Excellence (Big Plus) PhD in related subjects, extensive ML research background, academic publications in ML conferences/journals, and experience developing ML products for Voice, ASR, and NLP at scale. Team overview Our team builds and powers the voice experience that brings Sky's entertainment ecosystem to life. We design and deliver the machine learning models and cloud systems that make speaking to Sky Glass and other partner 's FFV devices feel natural, seamless and reliable. At Sky , we're creating the technology that enables millions of customers to interact effortlessly with their TV - simply by using their voice . Working as part of the Far Field Voice team and the wider Voice team at Comcast, you'll focus on continuously improving the voice experience on EntOS across all territories and syndication partners. This includes researching and delivering key and novel features - from accurate voice detection and verification, to personalised and context-aware interaction models. You'll collaborate closely with data scientists, engineers, product managers, and partners to ensure we deliver a truly frictionless, high-quality voice experience. 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.