We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Jonathan Lee Recruitment
Sutton Coldfield, West Midlands
Are you a product design leader ready to shape the future of market-leading products? We're seeking an experienced Head of Product Design to lead innovation, drive design excellence, and develop a high-performing design team within a respected, forward-thinking organisation. Known for its quality, craftsmanship, and innovative approach, this company offers a genuine opportunity to influence product strategy and make a tangible impact at a senior level. The Opportunity As Head of Product Design, you'll take ownership of the end-to-end product design function-combining creativity, technical expertise, and leadership to deliver high-quality, commercially successful products. What you'll be responsible for: Leading the design and development of innovative, cost-effective products from concept to production Shaping future product strategy through creative thinking, research, and concept generation Collaborating closely with Marketing, Project Management, and Engineering teams to align priorities Managing, mentoring, and developing a skilled product design team Overseeing prototyping, testing, and validation to ensure product quality and reliability Working with external design consultancies and manufacturing engineers to deliver high-quality mould tooling What We're Looking For This role suits a confident, hands-on design leader with strong technical capability and a passion for developing people. You'll ideally have: A proven track record of successfully designing and launching physical products A degree in Product Design, Engineering, or a related discipline Strong experience designing plastic components for injection moulding Advanced proficiency in 3D CAD software (experience with Siemens NX highly advantageous) Demonstrated leadership experience managing and inspiring design teams Why Join? Senior leadership role with real influence over product direction Opportunity to work with a company that values innovation, quality, and sustainability Collaborative culture with strong cross-functional engagement Birmingham location with excellent transport links Interested? If you're a Head of Product Design or Senior Product Designer ready to step into a strategic leadership role, we'd love to hear from you. Apply now and take the next step in your product design career. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
Apr 21, 2026
Full time
Are you a product design leader ready to shape the future of market-leading products? We're seeking an experienced Head of Product Design to lead innovation, drive design excellence, and develop a high-performing design team within a respected, forward-thinking organisation. Known for its quality, craftsmanship, and innovative approach, this company offers a genuine opportunity to influence product strategy and make a tangible impact at a senior level. The Opportunity As Head of Product Design, you'll take ownership of the end-to-end product design function-combining creativity, technical expertise, and leadership to deliver high-quality, commercially successful products. What you'll be responsible for: Leading the design and development of innovative, cost-effective products from concept to production Shaping future product strategy through creative thinking, research, and concept generation Collaborating closely with Marketing, Project Management, and Engineering teams to align priorities Managing, mentoring, and developing a skilled product design team Overseeing prototyping, testing, and validation to ensure product quality and reliability Working with external design consultancies and manufacturing engineers to deliver high-quality mould tooling What We're Looking For This role suits a confident, hands-on design leader with strong technical capability and a passion for developing people. You'll ideally have: A proven track record of successfully designing and launching physical products A degree in Product Design, Engineering, or a related discipline Strong experience designing plastic components for injection moulding Advanced proficiency in 3D CAD software (experience with Siemens NX highly advantageous) Demonstrated leadership experience managing and inspiring design teams Why Join? Senior leadership role with real influence over product direction Opportunity to work with a company that values innovation, quality, and sustainability Collaborative culture with strong cross-functional engagement Birmingham location with excellent transport links Interested? If you're a Head of Product Design or Senior Product Designer ready to step into a strategic leadership role, we'd love to hear from you. Apply now and take the next step in your product design career. Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency.In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
About The Role: Our client, a large, friendly and dynamic engineering consultancy with an international presence, is looking for a collaborative and efficient Marketing and Business Development Coordinator to join their growing London office. In this role, you'll support both marketing and business development activities, with a strong focus on written content. Working closely with the Head of Brand & Communications and a Graphic Designer, you'll help shape how the business presents itself through compelling bids, submissions and wider communications. This is a hands-on position where exceptional writing ability and strong attention to detail are essential. The role requires someone who is a strong team player and thrives in a collaborative environment. It could suit someone from a writing-focused background who has experience in, or a strong interest in developing their career within, the built environment. Located in a vibrant part of London, our client offers a dynamic working environment, hybrid working (2 days from home), opportunities for growth and development, and a comprehensive benefits package including private medical insurance, generous annual leave, and clear progression opportunities. Key Responsibilities: Plan and deliver engaging content across digital channels including website, social media and internal platforms Support project storytelling through case studies, award submissions and thought leadership content Coordinate with internal teams and external partners to develop and maintain marketing materials and image libraries Assist with bids, proposals and wider business development activities, including events and research Support senior leadership in delivering communications and BD strategy Key Skills / Requirements: 2+ years' experience in a communications, marketing or written content-focused role, ideally within the built environment Excellent writing, editing and storytelling skills with the ability to simplify complex information Strong organisational skills with the ability to manage multiple deadlines Confident communicator with experience working across teams and stakeholders, with a collaborative approach Proficiency in Adobe Creative Suite (InDesign, Photoshop) highly desirable Background in working with social media Good understanding of branding, tone of voice and content strategy Interest in the built environment, engineering and sustainability To apply for this position please click on the apply button to attach your CV (and portfolio for design positions). By applying for this role, you are confirming that you agree to our Privacy Policy (full details are shown at the bottom of our website), and that all details submitted by you are correct and to the best of your knowledge. The Crowd is an equal opportunities employer and agency.
Apr 21, 2026
Full time
About The Role: Our client, a large, friendly and dynamic engineering consultancy with an international presence, is looking for a collaborative and efficient Marketing and Business Development Coordinator to join their growing London office. In this role, you'll support both marketing and business development activities, with a strong focus on written content. Working closely with the Head of Brand & Communications and a Graphic Designer, you'll help shape how the business presents itself through compelling bids, submissions and wider communications. This is a hands-on position where exceptional writing ability and strong attention to detail are essential. The role requires someone who is a strong team player and thrives in a collaborative environment. It could suit someone from a writing-focused background who has experience in, or a strong interest in developing their career within, the built environment. Located in a vibrant part of London, our client offers a dynamic working environment, hybrid working (2 days from home), opportunities for growth and development, and a comprehensive benefits package including private medical insurance, generous annual leave, and clear progression opportunities. Key Responsibilities: Plan and deliver engaging content across digital channels including website, social media and internal platforms Support project storytelling through case studies, award submissions and thought leadership content Coordinate with internal teams and external partners to develop and maintain marketing materials and image libraries Assist with bids, proposals and wider business development activities, including events and research Support senior leadership in delivering communications and BD strategy Key Skills / Requirements: 2+ years' experience in a communications, marketing or written content-focused role, ideally within the built environment Excellent writing, editing and storytelling skills with the ability to simplify complex information Strong organisational skills with the ability to manage multiple deadlines Confident communicator with experience working across teams and stakeholders, with a collaborative approach Proficiency in Adobe Creative Suite (InDesign, Photoshop) highly desirable Background in working with social media Good understanding of branding, tone of voice and content strategy Interest in the built environment, engineering and sustainability To apply for this position please click on the apply button to attach your CV (and portfolio for design positions). By applying for this role, you are confirming that you agree to our Privacy Policy (full details are shown at the bottom of our website), and that all details submitted by you are correct and to the best of your knowledge. The Crowd is an equal opportunities employer and agency.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
Apr 21, 2026
Full time
A Day in the Life of an Ipsos Field Market Research Interviewer Imagine it: It's Wednesday afternoon. You've enjoyed your day, and now it's time for your shift as a Field Market Research Interviewer! You're heading out for a scheduled 6-hour shift (starting around 1 or 2pm), one of three you've pre-booked for the week, consisting of weekdays and weekends between the hours of 9am and 8pm. You hop in your car - you'll need that, business insurance and a valid driver's licence for this job - and head to a neighbourhood nearby. Your mission? Chatting with people about their opinions and experiences - right at their doorstep! You'll be going door-to-door, inviting people to participate in surveys. Don't worry; we provide all the training you need to feel confident approaching people, even if they weren't expecting a visit. And to make things easier, we offer mileage reimbursement for your travels. You'll use a company-provided tablet to record their answers, so no need to worry about paperwork. And the best part? You're making a real difference! The information you gather helps businesses and organisations make decisions that impact your community. What else makes Ipsos special? We're committed to creating a diverse and inclusive workplace. Ipsos has been recognised by The Times as one of the top 50 companies for gender balance in the UK for two years running! We provide award-winning training, setting you up for success. We're socially conscious and committed to making a positive impact. Our BELONG networks help create a welcoming and inclusive environment for everyone. We're dedicated to environmental, social, and governance (ESG) principles, striving to minimise our environmental footprint and promote sustainability. Plus, as an Ipsos interviewer, you'll enjoy access to: Ipsos More: A fantastic platform offering discounts on everything from clothing and holidays to household goods and everyday shopping essentials. Treat yourself while saving money! Ipsos Wellbeing: A dedicated resource to support your wellbeing, with tips and advice on staying active, eating well, and practicing mindfulness. This job might be for you if: You love meeting new people and hearing their stories. You're comfortable striking up conversations and putting people at ease, even in unexpected situations. You're looking for a part-time gig that lets you choose your hours (at least 12 hours per week in pre-booked 6-hour shifts) and be your own boss. You're passionate about your community and want to have a voice in shaping its future. Sound like a good fit? Apply now and join our team of Market Research Interviewers.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Apr 21, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
