1061 jobs found

Have you got a mind for technology? Enjoy helping people and solving problems? The business provides a wide range of IT services and solutions to small to medium sized businesses across a range of industry sectors. You will be helping them with day-to-day problems that come up with their IT systems and equipment. For example, they may have a problem with Windows 10 or macOS computers; or you may be giving application support for Microsoft Office and Adobe products. Or it could be something related to cyber security, or file-sharing systems. And as you get more experience, you'll be handling more complex problems. You'll be speaking with the customer to establish the problem; then working out a solution for them. As you gain experience, you'll develop your project management skills and get involved in project implementations; from PC renovation and replacement projects, to Cloud services deployments, to implementing whole infrastructures on both a small and large scale. You will gain experience of a wide range of IT disciplines that you would not expect to cover working for a large company. TRAINING AND DEVELOPMENT Your job title will be Graduate IT support analyst. You'll get loads of training and support from more experienced colleagues, and will take on more responsibility as time goes on. There will be a lot of investment in training and development for you. Over the first 2 years your strengths and interests will become clear, and your specific career path can be planned. For example, you may want to work towards being a senior support analyst, a network engineer, or a security engineer. Or perhaps customer management and line management if you like the sound of that. Other graduates have done well and progressed with the business. WHERE YOU'LL BE DOING IT The offices are near Liverpool Street station in the City of London. Most of the customers are based within walking distance (or a short tube ride). Once you have a bit more experience you will be able to work from home for one day a week, rising to 2. WHAT YOU'LL GET In addition to a starting salary of between £, you will get benefits including: subsidised gym membership, season ticket loan, subsidised lunch, and a bonus based on company performance. Hours are 8am-5pm, or 9am to 6pm Monday to Friday (occasional, paid, after hours or weekend work where needed). WHAT YOU'LL NEED A Computing related degree with a minimum 2:1. You'll be working with customers, and other internal departments, so you need to be happy dealing with people (bonus points if you already have some experience working with people, for example in a retail, hospitality, or customer service role). And you'll need to be the sort of person who wants to keep learning and developing your skills.

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.

DevOps Engineer - AWS / Azure Government Transformation Projects (AWS / Azure / DevOps) Location: Winchester, Hampshire, Hybrid Positions: 2 (Mid-Senior Level) Our client is a cloud-first digital consultancy, founded over 10 years ago and trusted by government, policing, and public sector organisations to deliver secure, high-impact transformation projects. They specialise in building capability and enabling independence. Embedding skilled engineers into delivery teams to modernise estates, enhance DevOps practices, and leave lasting expertise behind. The Opportunity We're hiring two DevOps Engineers to join established delivery teams on major government transformation programmes. This is a hands-on, delivery-focused role working across secure AWS & Azure environments, supporting migrations, modern platform builds, and DevOps automation. You'll work alongside senior engineers and architects to enhance, operate, and support large-scale cloud estates - helping to build modern, secure, and observable DevOps platforms. Key Responsibilities Support the design and enhancement of secure AWS landing zones for government and policing clients. Deliver infrastructure-as-code and modern automation using Terraform, GitLab, and Kubernetes. Operate and support multi-account AWS environments with strong governance and security practices. Drive CI/CD improvements and developer productivity through automation and observability. Contribute to migration and greenfield projects in complex, regulated settings. About You You'll bring a blend of infrastructure and cloud experience, with a strong grasp of AWS, DevOps tools, and secure platform delivery. You're collaborative, proactive, and comfortable working in hybrid teams delivering to public sector standards. Essential Skills 10+ years' IT experience, with 5+ years in cloud (AWS / Azure). Broad technical base: infrastructure, automation, and platform delivery. Proven experience with Terraform, Kubernetes, GitLab CI/CD, HELM. Hands-on AWS experience (certified to Associate or Professional level). Knowledge of multi-account AWS environments and migration best practice. Desirable Secure build experience for government or policing (SC or eligible). Azure exposure and cross-cloud understanding. Strong observability, monitoring, and pipeline modernisation experience. If you're a Cloud Engineer with a passion for DevOps, automation, and secure cloud transformation - this is an excellent opportunity to work on high-profile government programmes within a supportive & Talented team. Hit apply to upload your CV Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. 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. We are seeking a highly skilled and experienced Senior Storage Engineer to join our dynamic team. The ideal candidate will have deep expertise in a wide range of storage technologies and systems, with the ability to work both independently and collaboratively within a global team environment. What you'll do Deploy and maintain enterprise storage solutions using Dell PowerScale, Unity, and PowerVault. Configure and manage SAN environments using Brocade or Cisco SAN switches. Manage a large-scale, complex NAS environment based on PixStor, Ngenea, and Spectrum Scale (GPFS) components. Develop and maintain automation scripts using Python and Bash to support storage operations and monitoring. Administer storage systems across Linux and Windows platforms. Ensure high availability, performance, and scalability of storage infrastructure. Maintain comprehensive documentation for storage configurations, procedures, and operational standards. Collaborate with cross-functional teams to support business and application requirements. Monitor and troubleshoot storage performance issues and participate in incident resolution. Support backup and archival processes and contribute to capacity planning. What you'll bring Proven experience with Dell PowerScale, Unity, and PowerVault or similar SAN and NAS storage systems. Hands-on expertise with Brocade or Cisco SAN switches. Strong scripting skills in Python and Bash. Solid understanding of Linux and Windows operating systems. Ability to produce and maintain clear, structured technical documentation. Strong problem-solving skills and attention to detail. Desired Technical Skills Experience with IBM Spectrum Protect (TSM), Spectrum Scale (GPFS), and Spectrum Archive. Familiarity with NetBackup and tape library management. Exposure to VMware virtualization technologies. Understanding of AWS storage services and cloud integration. Knowledge of monitoring tools such as Zabbix, Prometheus, and Grafana. Experience with Pixstor and Ngenea products is highly advantageous. Other Requirements A collaborative team player with excellent communication skills. Demonstrated ability to share knowledge and support team learning. Proactive and eager to learn new technologies and approaches. Comfortable working in a dynamic, fast-paced environment. Working from the office two days a week with occasional travel to other sites in the UK Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. 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's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.