Multiskilled Maintenance Engineer This role is working for a successful BRC AA Graded food manufacturer. The company produces high-quality food products and offer an exceptional service - enabling their food manufacturing customers to innovate and increase productivity without compromising on quality. About the Multiskilled Maintenance Engineer job The purpose of your role will be to support engineering operations by coordinating with internal teams to install, test, operate, maintain, and repair all equipment and facilities at the company s manufacturing site. Key tasks Perform maintenance and repair on equipment and machinery to ensure optimal performance. Troubleshoot electrical and mechanical issues across various systems. Conduct routine inspections and preventive maintenance on equipment. Collaborate with other engineers to improve processes and systems. Document maintenance activities and upkeep compliance records. About You The successful candidate shall have proven experience as an Electrical, Mechanical, Maintenance or Multi-Skilled Engineer. A strong understanding of electrical and/or mechanical systems. Demonstrable ability to manage multiple tasks and prioritise effectively. More details The Multiskilled Maintenance Engineer job (ref:9037) is based in Wigan and is paying up to £46,000 (including shift premiums and overtime). The site is in Wigan, Greater Manchester and is commutable from Manchester, Bolton, Warrington, Preston, Ormskirk, St Helens, Chorley and Bury, along with other areas of Lancashire and Merseyside. The working hours are Monday to Friday, with a weekly rotation of 06:00am to 02:00pm, 02:00pm to 10:00pm and one in five weeks shall be 10:00pm to 06:00am where premium rates will apply. The package includes 21 days holiday plus bank holidays, Pension, Investment in People and Training, Referral Programme for successful employee referrals, Wellbeing and Engagement Programmes, Onsite Mental Health First Aiders, Employee Assistance Programme for yourself, your partner and any children in full-time education up to the age of 21, this includes counselling, Onsite Car Parking, Company Sickness Pay, Seasonal Flu Vouchers. Alternate job titles - Maintenance Engineer Maintenance Technician Manufacturing Engineer Production Engineer FMCG Engineer Food Manufacturing Engineering Jobs
Apr 01, 2026
Full time
Multiskilled Maintenance Engineer This role is working for a successful BRC AA Graded food manufacturer. The company produces high-quality food products and offer an exceptional service - enabling their food manufacturing customers to innovate and increase productivity without compromising on quality. About the Multiskilled Maintenance Engineer job The purpose of your role will be to support engineering operations by coordinating with internal teams to install, test, operate, maintain, and repair all equipment and facilities at the company s manufacturing site. Key tasks Perform maintenance and repair on equipment and machinery to ensure optimal performance. Troubleshoot electrical and mechanical issues across various systems. Conduct routine inspections and preventive maintenance on equipment. Collaborate with other engineers to improve processes and systems. Document maintenance activities and upkeep compliance records. About You The successful candidate shall have proven experience as an Electrical, Mechanical, Maintenance or Multi-Skilled Engineer. A strong understanding of electrical and/or mechanical systems. Demonstrable ability to manage multiple tasks and prioritise effectively. More details The Multiskilled Maintenance Engineer job (ref:9037) is based in Wigan and is paying up to £46,000 (including shift premiums and overtime). The site is in Wigan, Greater Manchester and is commutable from Manchester, Bolton, Warrington, Preston, Ormskirk, St Helens, Chorley and Bury, along with other areas of Lancashire and Merseyside. The working hours are Monday to Friday, with a weekly rotation of 06:00am to 02:00pm, 02:00pm to 10:00pm and one in five weeks shall be 10:00pm to 06:00am where premium rates will apply. The package includes 21 days holiday plus bank holidays, Pension, Investment in People and Training, Referral Programme for successful employee referrals, Wellbeing and Engagement Programmes, Onsite Mental Health First Aiders, Employee Assistance Programme for yourself, your partner and any children in full-time education up to the age of 21, this includes counselling, Onsite Car Parking, Company Sickness Pay, Seasonal Flu Vouchers. Alternate job titles - Maintenance Engineer Maintenance Technician Manufacturing Engineer Production Engineer FMCG Engineer Food Manufacturing Engineering Jobs
Job Description Hospital Engineer Springfield Hospital - Chelmsford Full Time 37.5 hours per week The role At Ramsay Health Care UK, a can-do approach is at the heart of all we do. That's exactly what you'll bring to Springfield Hospital as you support our maintenance team and any contractors in their daily duties, using the skills you've built as a tradesperson. Everything you do will help ensure that each person coming into the hospital for treatment enjoys the very best environment. Working with people across the hospital, you'll need to be friendly, approachable, and very well organised. You'll be valued for your skills and expertise and be rewarded for them with generous benefits from one of the largest independent healthcare providers in the UK. Where you'll be based You will be based at Springfield Hospital, however you will participate in an on-call system that covers Oaks Hospital located in Colchester (1 in 6 weeks), whilst also attending Oaks Hospital as and when required. What you'll bring with you A very organised approach with an ability to work well under pressure Ability to work to deadlines Experience in line managing in a Maintenance Environment post apprenticeship or qualifications gained. Experience in managing and co-ordinating Contractors and Service Engineers City& Guilds Part 1/2, NVQ Level 2/3 or equivalent preferably in Mechanical or Electrical Engineering essential Time served apprenticeship in a Mechanical or Electrical biased discipline preferred Fire safety or Fire Risk Assessment training desirable Understanding of Quality Management, customer satisfaction and the continuous improvement process Duel or multi-skilled with the core preferably Electrical Comprehensive understanding of Health and Safety guidelines and applicable law Understanding of Legionella prevention requirements within Hospital buildings Excellent written/verbal communication and interpersonal skills Sound fault finding techniques IT aware / competent Why join us? At Ramsay Health Care UK, our people are at the heart of our success. Our benefits are designed to support your wellbeing, work-life balance and career development, because we're people caring for people: Health, Wellbeing & Financial Security Private Medical Cover, with the option to add your partner and dependants Discounted Bupa Dental Insurance Life Assurance (Death in Service) x3 your base salary Private Pension, with Ramsay matching up to 5% after a qualifying period Employee Assistance Programme Work-Life Balance 25 days annual leave + bank holidays, with the option to buy or sell additional days Flexible shift patterns, where possible Family friendly policies including enhanced parental leave Volunteer leave to support causes that matter to you Career Development & Recognition Training and Development via the Ramsay Academy to support your career development Colleague recognition programme to celebrate our people Lifestyle & Everyday Perks Access to our benefits platform, offering a wide range of discounts Cycle2Work scheme Subsidised staff restaurant, where possible Free parking on site, where possible About Us Ramsay Health Care UK is a well-established global hospital group with over 60 years' experience. We are a global provider operating in 8 countries, with 88,000 staff who treat 8 million patients each year. It is well respected within the healthcare industry and is one of the leading providers of independent hospital services in England. We are well known for our strong, long-standing relationship with the NHS. We love people with a positive, "can do" attitude who want to make a difference in their work. "Our employees are Ramsay." The skills and commitment of our employees forms the basis for our success. We care. It's more than what we do, it's who we are. Everything we do is about striving to deliver the best care. And it's a belief that's as true today as it was when we welcomed our first patients in 1964. "The Ramsay Way" culture recognises that our people are our most important asset and this has been key to our ongoing success. We are proud to support the UK's Armed Forces and Reservists and have already achieved the Silver Award as part of the MOD's Armed Forces Covenant Employer Recognition Scheme. The scheme recognises employers who actively support Defence while encouraging other organisations to adopt the same behaviours in their workplace. As a company we are committed to supporting the wider Armed Forces community and this includes our staff as well as our patients. We are committed to equality of opportunity for all. This position is subject to background and DBS checks.
Apr 01, 2026
Full time
Job Description Hospital Engineer Springfield Hospital - Chelmsford Full Time 37.5 hours per week The role At Ramsay Health Care UK, a can-do approach is at the heart of all we do. That's exactly what you'll bring to Springfield Hospital as you support our maintenance team and any contractors in their daily duties, using the skills you've built as a tradesperson. Everything you do will help ensure that each person coming into the hospital for treatment enjoys the very best environment. Working with people across the hospital, you'll need to be friendly, approachable, and very well organised. You'll be valued for your skills and expertise and be rewarded for them with generous benefits from one of the largest independent healthcare providers in the UK. Where you'll be based You will be based at Springfield Hospital, however you will participate in an on-call system that covers Oaks Hospital located in Colchester (1 in 6 weeks), whilst also attending Oaks Hospital as and when required. What you'll bring with you A very organised approach with an ability to work well under pressure Ability to work to deadlines Experience in line managing in a Maintenance Environment post apprenticeship or qualifications gained. Experience in managing and co-ordinating Contractors and Service Engineers City& Guilds Part 1/2, NVQ Level 2/3 or equivalent preferably in Mechanical or Electrical Engineering essential Time served apprenticeship in a Mechanical or Electrical biased discipline preferred Fire safety or Fire Risk Assessment training desirable Understanding of Quality Management, customer satisfaction and the continuous improvement process Duel or multi-skilled with the core preferably Electrical Comprehensive understanding of Health and Safety guidelines and applicable law Understanding of Legionella prevention requirements within Hospital buildings Excellent written/verbal communication and interpersonal skills Sound fault finding techniques IT aware / competent Why join us? At Ramsay Health Care UK, our people are at the heart of our success. Our benefits are designed to support your wellbeing, work-life balance and career development, because we're people caring for people: Health, Wellbeing & Financial Security Private Medical Cover, with the option to add your partner and dependants Discounted Bupa Dental Insurance Life Assurance (Death in Service) x3 your base salary Private Pension, with Ramsay matching up to 5% after a qualifying period Employee Assistance Programme Work-Life Balance 25 days annual leave + bank holidays, with the option to buy or sell additional days Flexible shift patterns, where possible Family friendly policies including enhanced parental leave Volunteer leave to support causes that matter to you Career Development & Recognition Training and Development via the Ramsay Academy to support your career development Colleague recognition programme to celebrate our people Lifestyle & Everyday Perks Access to our benefits platform, offering a wide range of discounts Cycle2Work scheme Subsidised staff restaurant, where possible Free parking on site, where possible About Us Ramsay Health Care UK is a well-established global hospital group with over 60 years' experience. We are a global provider operating in 8 countries, with 88,000 staff who treat 8 million patients each year. It is well respected within the healthcare industry and is one of the leading providers of independent hospital services in England. We are well known for our strong, long-standing relationship with the NHS. We love people with a positive, "can do" attitude who want to make a difference in their work. "Our employees are Ramsay." The skills and commitment of our employees forms the basis for our success. We care. It's more than what we do, it's who we are. Everything we do is about striving to deliver the best care. And it's a belief that's as true today as it was when we welcomed our first patients in 1964. "The Ramsay Way" culture recognises that our people are our most important asset and this has been key to our ongoing success. We are proud to support the UK's Armed Forces and Reservists and have already achieved the Silver Award as part of the MOD's Armed Forces Covenant Employer Recognition Scheme. The scheme recognises employers who actively support Defence while encouraging other organisations to adopt the same behaviours in their workplace. As a company we are committed to supporting the wider Armed Forces community and this includes our staff as well as our patients. We are committed to equality of opportunity for all. This position is subject to background and DBS checks.
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 01, 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.
Title: Commercial Gas Engineer Location: Romford, Essex We are looking for a qualified and experienced Commercial Gas Engineer to join our team, covering Essex, East London, and Kent. The role involves servicing, maintaining, and installing commercial gas systems across a range of sites including offices, schools, health centres and industrial premises. The ideal candidate will be safety-focused, self-motivated, and committed to delivering high-quality workmanship and customer service. Key Responsibilities Service, maintenance, and repair of commercial gas appliances and heating systems Installation and commissioning of commercial boilers and plant equipment Fault finding and diagnostics on commercial gas systems Carry out gas safety inspections and certification Ensure compliance with current gas safety regulations and industry standards Complete job reports and documentation accurately Work across multiple sites as required Provide technical advice to clients Participate in on-call rota where required Essential Requirements Current Commercial ACS Gas Qualifications (British Standards) Valid Gas Safe registration (commercial) Proven experience in commercial gas engineering Full UK driving licence Diagnostic and problem-solving skills Willingness to undertake day-today multi skilled reactive tasks Desirable Qualifications & Skills Experience with commercial plant rooms Electrical or controls knowledge Experience working in facilities management environments Relevant health & safety certifications (e.g. CSCS, IPAF) What We Can Offer in Return: With an impressive order book of over £4.1 billion we are one of the industry's leading principal contractors, affording you the opportunity to work on some of the UK's most exciting projects offering you stability as well as the chance to stretch your capabilities and realise long held career goals. You will be joining diverse teams working at a high professional level with exceptional levels of commitment. With an ambitious strategy, we're poised for further growth and success, so if you're committed, talented and enthusiastic, Galliford Try is the right place for you. We are committed to maintaining the physical and mental wellbeing of all our people, through our 'Be Well' programme which offers discounts on certain products, advice and support for a range of issues. We invest in high-quality training for employees of all levels, from our leadership development framework to our apprenticeship programmes. Through our Career Paths initiative, individuals receive tailored training and support to fulfil their potential. Our industry is all about creating talented teams that excel in their areas of expertise. As an employer, we know you are most motivated to give your best when you feel valued and engaged. Our Agile Working programme empowers you with flexibility in when, where and how you work. Where appropriate, site and office-based employees can take advantage of a wide variety of working practices, offering different amounts of structure, regularity and flexibility to suit your needs as well as those of your wider team. Our benefits: We put our people first and our benefits package reflects that by offering a comprehensive range of attractive options to help support your career on top of a competitive salary. Generous holiday entitlement, increasing with years of service, plus the opportunity to purchase further holidays A wide range of corporate discounts Cycle to Work schemes Comprehensive pension plan Competitive family leave policy Regular Save as You Earn share purchase scheme Private medical scheme options are available for all salaried employees, and our employee assistance programme also provides free 24/7 support to those who need it Paid for yearly membership to one recognised professional association relevant to your role
Apr 01, 2026
Full time
Title: Commercial Gas Engineer Location: Romford, Essex We are looking for a qualified and experienced Commercial Gas Engineer to join our team, covering Essex, East London, and Kent. The role involves servicing, maintaining, and installing commercial gas systems across a range of sites including offices, schools, health centres and industrial premises. The ideal candidate will be safety-focused, self-motivated, and committed to delivering high-quality workmanship and customer service. Key Responsibilities Service, maintenance, and repair of commercial gas appliances and heating systems Installation and commissioning of commercial boilers and plant equipment Fault finding and diagnostics on commercial gas systems Carry out gas safety inspections and certification Ensure compliance with current gas safety regulations and industry standards Complete job reports and documentation accurately Work across multiple sites as required Provide technical advice to clients Participate in on-call rota where required Essential Requirements Current Commercial ACS Gas Qualifications (British Standards) Valid Gas Safe registration (commercial) Proven experience in commercial gas engineering Full UK driving licence Diagnostic and problem-solving skills Willingness to undertake day-today multi skilled reactive tasks Desirable Qualifications & Skills Experience with commercial plant rooms Electrical or controls knowledge Experience working in facilities management environments Relevant health & safety certifications (e.g. CSCS, IPAF) What We Can Offer in Return: With an impressive order book of over £4.1 billion we are one of the industry's leading principal contractors, affording you the opportunity to work on some of the UK's most exciting projects offering you stability as well as the chance to stretch your capabilities and realise long held career goals. You will be joining diverse teams working at a high professional level with exceptional levels of commitment. With an ambitious strategy, we're poised for further growth and success, so if you're committed, talented and enthusiastic, Galliford Try is the right place for you. We are committed to maintaining the physical and mental wellbeing of all our people, through our 'Be Well' programme which offers discounts on certain products, advice and support for a range of issues. We invest in high-quality training for employees of all levels, from our leadership development framework to our apprenticeship programmes. Through our Career Paths initiative, individuals receive tailored training and support to fulfil their potential. Our industry is all about creating talented teams that excel in their areas of expertise. As an employer, we know you are most motivated to give your best when you feel valued and engaged. Our Agile Working programme empowers you with flexibility in when, where and how you work. Where appropriate, site and office-based employees can take advantage of a wide variety of working practices, offering different amounts of structure, regularity and flexibility to suit your needs as well as those of your wider team. Our benefits: We put our people first and our benefits package reflects that by offering a comprehensive range of attractive options to help support your career on top of a competitive salary. Generous holiday entitlement, increasing with years of service, plus the opportunity to purchase further holidays A wide range of corporate discounts Cycle to Work schemes Comprehensive pension plan Competitive family leave policy Regular Save as You Earn share purchase scheme Private medical scheme options are available for all salaried employees, and our employee assistance programme also provides free 24/7 support to those who need it Paid for yearly membership to one recognised professional association relevant to your role
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 01, 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 01, 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.
Are you an electrical or mechanical engineer who thrives in a fast-paced, highly automated environment - and ready to keep one of the UK's largest dairy sites running 24/7? At Lockerbie you'll work with cutting-edge process and packing technology, solving problems at pace and driving continuous improvement that keeps our site safe, efficient and reliable. How you will make an impact Based at our Lockerbie site on continental rotating shifts (12-hour days and nights), you'll support a well-invested plant producing household . You'll carry out reactive, planned and preventive maintenance, using data and problem-solving tools to reduce downtime and improve performance. Execute reactive, planned and preventative maintenance across processing, packing and utilities assets Lead structured problem solving and continuous improvement to enhance OEE and minimise downtime Use CMMS (SAP PM) and reporting suites to plan work, capture data and drive actions Support site projects, including non-capex modifications and CAPEX installations and commissioning Maintain and optimise a wide range of equipment (e.g. pasteurisation, homogenisers, separators, evaporators, dryers, fillers, palletisers, conveyors, robots, vision/X-ray systems, HVAC, boilers, chillers, compressors, CHP) What will make you successful you will bring a time-served apprenticeship or NVQ Level 3/ONC/HNC/HND (or proven equivalent experience), along with your background as a multiskilled maintenance or engineering technician, whether in mechanical or electrical disciplines. You will have experience working in fast-paced, automated, and safety-critical manufacturing environments, ideally within FMCG, and you will be computer literate, confident using SAP and Microsoft Office, and familiar with SCADA, HMIs, and Trend systems. Personally, you will be ambitious and driven, taking a proactive approach to learning and continuous improvement; you will demonstrate strong problem-solving skills, approaching challenges methodically and analytically, and remaining calm under pressure. You will be a team-focused communicator, prioritising safety and keeping stakeholders informed with clear updates. As part of our supportive team, you will experience a steep learning curve, face meaningful challenges, and benefit from colleagues who are eager to help you succeed and make you feel welcome. What do we offer We're committed to your growth and development, offering internal and external training opportunities. You'll enjoy a competitive salary, 24 days holiday, matched pension contributions up to 6%, life assurance, and flexible benefits. At Lockerbie, you'll join a team proud of its high job satisfaction and steep learning curve, with plenty of challenges and support to help you succeed. Things we'd love to tell you about our Lockerbie site Arla Lockerbie has received approximately £73.8 million in investment since 2005. Sixty percent of our colleagues at the site have over ten years of service, and around 75,000 cows rely on the dairy each day to process their milk. If you placed all the blocks of cheese produced at Lockerbie in a year end to end, they would reach a height equivalent to 2,428 Eiffel Towers. The amount of whey concentrate produced annually would be enough to fill four Olympic sized 50 metre swimming pools. The Arla Lockerbie site was officially opened by HRH Queen Elizabeth in 1975. Would you like to join us? Please apply as soon as possible as we will process applications on a continuous basis and close the recruitment once the right candidate is found
Apr 01, 2026
Full time
Are you an electrical or mechanical engineer who thrives in a fast-paced, highly automated environment - and ready to keep one of the UK's largest dairy sites running 24/7? At Lockerbie you'll work with cutting-edge process and packing technology, solving problems at pace and driving continuous improvement that keeps our site safe, efficient and reliable. How you will make an impact Based at our Lockerbie site on continental rotating shifts (12-hour days and nights), you'll support a well-invested plant producing household . You'll carry out reactive, planned and preventive maintenance, using data and problem-solving tools to reduce downtime and improve performance. Execute reactive, planned and preventative maintenance across processing, packing and utilities assets Lead structured problem solving and continuous improvement to enhance OEE and minimise downtime Use CMMS (SAP PM) and reporting suites to plan work, capture data and drive actions Support site projects, including non-capex modifications and CAPEX installations and commissioning Maintain and optimise a wide range of equipment (e.g. pasteurisation, homogenisers, separators, evaporators, dryers, fillers, palletisers, conveyors, robots, vision/X-ray systems, HVAC, boilers, chillers, compressors, CHP) What will make you successful you will bring a time-served apprenticeship or NVQ Level 3/ONC/HNC/HND (or proven equivalent experience), along with your background as a multiskilled maintenance or engineering technician, whether in mechanical or electrical disciplines. You will have experience working in fast-paced, automated, and safety-critical manufacturing environments, ideally within FMCG, and you will be computer literate, confident using SAP and Microsoft Office, and familiar with SCADA, HMIs, and Trend systems. Personally, you will be ambitious and driven, taking a proactive approach to learning and continuous improvement; you will demonstrate strong problem-solving skills, approaching challenges methodically and analytically, and remaining calm under pressure. You will be a team-focused communicator, prioritising safety and keeping stakeholders informed with clear updates. As part of our supportive team, you will experience a steep learning curve, face meaningful challenges, and benefit from colleagues who are eager to help you succeed and make you feel welcome. What do we offer We're committed to your growth and development, offering internal and external training opportunities. You'll enjoy a competitive salary, 24 days holiday, matched pension contributions up to 6%, life assurance, and flexible benefits. At Lockerbie, you'll join a team proud of its high job satisfaction and steep learning curve, with plenty of challenges and support to help you succeed. Things we'd love to tell you about our Lockerbie site Arla Lockerbie has received approximately £73.8 million in investment since 2005. Sixty percent of our colleagues at the site have over ten years of service, and around 75,000 cows rely on the dairy each day to process their milk. If you placed all the blocks of cheese produced at Lockerbie in a year end to end, they would reach a height equivalent to 2,428 Eiffel Towers. The amount of whey concentrate produced annually would be enough to fill four Olympic sized 50 metre swimming pools. The Arla Lockerbie site was officially opened by HRH Queen Elizabeth in 1975. Would you like to join us? Please apply as soon as possible as we will process applications on a continuous basis and close the recruitment once the right candidate is found
Title: Commercial Gas Engineer Location: Romford, Essex We are looking for a qualified and experienced Commercial Gas Engineer to join our team, covering Essex, East London, and Kent. The role involves servicing, maintaining, and installing commercial gas systems across a range of sites including offices, schools, health centres and industrial premises. The ideal candidate will be safety-focused, self-motivated, and committed to delivering high-quality workmanship and customer service. Key Responsibilities Service, maintenance, and repair of commercial gas appliances and heating systems Installation and commissioning of commercial boilers and plant equipment Fault finding and diagnostics on commercial gas systems Carry out gas safety inspections and certification Ensure compliance with current gas safety regulations and industry standards Complete job reports and documentation accurately Work across multiple sites as required Provide technical advice to clients Participate in on-call rota where required Essential Requirements Current Commercial ACS Gas Qualifications (British Standards) Valid Gas Safe registration (commercial) Proven experience in commercial gas engineering Full UK driving licence Diagnostic and problem-solving skills Willingness to undertake day-today multi skilled reactive tasks Desirable Qualifications & Skills Experience with commercial plant rooms Electrical or controls knowledge Experience working in facilities management environments Relevant health & safety certifications (e.g. CSCS, IPAF) What We Can Offer in Return: With an impressive order book of over £4.1 billion we are one of the industry's leading principal contractors, affording you the opportunity to work on some of the UK's most exciting projects offering you stability as well as the chance to stretch your capabilities and realise long held career goals. You will be joining diverse teams working at a high professional level with exceptional levels of commitment. With an ambitious strategy, we're poised for further growth and success, so if you're committed, talented and enthusiastic, Galliford Try is the right place for you. We are committed to maintaining the physical and mental wellbeing of all our people, through our 'Be Well' programme which offers discounts on certain products, advice and support for a range of issues. We invest in high-quality training for employees of all levels, from our leadership development framework to our apprenticeship programmes. Through our Career Paths initiative, individuals receive tailored training and support to fulfil their potential. Our industry is all about creating talented teams that excel in their areas of expertise. As an employer, we know you are most motivated to give your best when you feel valued and engaged. Our Agile Working programme empowers you with flexibility in when, where and how you work. Where appropriate, site and office-based employees can take advantage of a wide variety of working practices, offering different amounts of structure, regularity and flexibility to suit your needs as well as those of your wider team. Our benefits: We put our people first and our benefits package reflects that by offering a comprehensive range of attractive options to help support your career on top of a competitive salary. Generous holiday entitlement, increasing with years of service, plus the opportunity to purchase further holidays A wide range of corporate discounts Cycle to Work schemes Comprehensive pension plan Competitive family leave policy Regular Save as You Earn share purchase scheme Private medical scheme options are available for all salaried employees, and our employee assistance programme also provides free 24/7 support to those who need it Paid for yearly membership to one recognised professional association relevant to your role
Apr 01, 2026
Full time
Title: Commercial Gas Engineer Location: Romford, Essex We are looking for a qualified and experienced Commercial Gas Engineer to join our team, covering Essex, East London, and Kent. The role involves servicing, maintaining, and installing commercial gas systems across a range of sites including offices, schools, health centres and industrial premises. The ideal candidate will be safety-focused, self-motivated, and committed to delivering high-quality workmanship and customer service. Key Responsibilities Service, maintenance, and repair of commercial gas appliances and heating systems Installation and commissioning of commercial boilers and plant equipment Fault finding and diagnostics on commercial gas systems Carry out gas safety inspections and certification Ensure compliance with current gas safety regulations and industry standards Complete job reports and documentation accurately Work across multiple sites as required Provide technical advice to clients Participate in on-call rota where required Essential Requirements Current Commercial ACS Gas Qualifications (British Standards) Valid Gas Safe registration (commercial) Proven experience in commercial gas engineering Full UK driving licence Diagnostic and problem-solving skills Willingness to undertake day-today multi skilled reactive tasks Desirable Qualifications & Skills Experience with commercial plant rooms Electrical or controls knowledge Experience working in facilities management environments Relevant health & safety certifications (e.g. CSCS, IPAF) What We Can Offer in Return: With an impressive order book of over £4.1 billion we are one of the industry's leading principal contractors, affording you the opportunity to work on some of the UK's most exciting projects offering you stability as well as the chance to stretch your capabilities and realise long held career goals. You will be joining diverse teams working at a high professional level with exceptional levels of commitment. With an ambitious strategy, we're poised for further growth and success, so if you're committed, talented and enthusiastic, Galliford Try is the right place for you. We are committed to maintaining the physical and mental wellbeing of all our people, through our 'Be Well' programme which offers discounts on certain products, advice and support for a range of issues. We invest in high-quality training for employees of all levels, from our leadership development framework to our apprenticeship programmes. Through our Career Paths initiative, individuals receive tailored training and support to fulfil their potential. Our industry is all about creating talented teams that excel in their areas of expertise. As an employer, we know you are most motivated to give your best when you feel valued and engaged. Our Agile Working programme empowers you with flexibility in when, where and how you work. Where appropriate, site and office-based employees can take advantage of a wide variety of working practices, offering different amounts of structure, regularity and flexibility to suit your needs as well as those of your wider team. Our benefits: We put our people first and our benefits package reflects that by offering a comprehensive range of attractive options to help support your career on top of a competitive salary. Generous holiday entitlement, increasing with years of service, plus the opportunity to purchase further holidays A wide range of corporate discounts Cycle to Work schemes Comprehensive pension plan Competitive family leave policy Regular Save as You Earn share purchase scheme Private medical scheme options are available for all salaried employees, and our employee assistance programme also provides free 24/7 support to those who need it Paid for yearly membership to one recognised professional association relevant to your role
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 01, 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.
Senior Shift Engineering (Multi Skilled) Description Are you a talented multiskilled engineer looking to make a real impact at the UK's only Arla cheese packaging site? At Oswestry, you'll help ensure our machinery runs at its best so we can continue feeding the nation with the dairy products people love - from Cravendale to Skyr to Anchor. How you will make an impact At Arla, you'll join a supportive team with a strong focus on development and collaboration. Oswestry is a unique site we cover eight acres of land and package more than 350 different product types, we deliver 99.8% of customer orders on time, and if we lined up all the 20kg cheese blocks processed here in a year, they would outline the entire UK coastline. As a Senior Shift Engineer at Arla's Oswestry Packaging facility, you will play a key role in keeping our operation running smoothly within a fast paced, highly automated manufacturing environment. You will be the main point of contact between the shift team and the senior management team whilst youmaintain, repair and improve the equipment that allows us to produce high quality, tasty and nutritious products for millions of consumers. You will also take part in continuous improvement, support project activity, and help drive long term reliability across the site. Responding to breakdowns and ensuring a timely and effective resolution Completing planned preventative maintenance to minimise downtime Supporting CI initiatives and site wide improvement projects Installing, commissioning and optimising equipment and machinery Supporting colleagues with fault finding and upskilling staff You will be based at our Oswestry Packaging site in Shropshire, working a 3 on 3 off shift pattern (days & nights, 6-6). What will make you successful You'll bring both technical capability and the drive to make a difference. You enjoy solving problems, thrive in a fast moving manufacturing environment, and work collaboratively to achieve shared goals. We are looking for someone with strong experience as a multiskilled engineer-whether as a Shift Engineer, Maintenance Engineer or Engineering Technician-and with mechanical and electrical engineering expertise within manufacturing, production or process environments. You will hold an NVQ, City & Guilds, HNC, apprenticeship, or equivalent experience gained in a fast paced engineering setting. Ideally, you will also have experience working with fast moving machinery, pumps, valves, inverter drives, sensors, relays, Siemens PLCs, site services such as steam plants, chilled water systems and compressors, as well as CIP systems. Strong IT skills are essential, including SAP, Microsoft Office, SCADA, Trend systems and HMIs. You will also have time served experience as a multiskilled engineer within a manufacturing environment. What do we offer? We're committed to your growth and development, offering internal and external training opportunities. You'll enjoy a competitive salary, 24 days holiday, matched pension contributions up to 6%, life assurance, and flexible benefits. At Oswestry, you'll join a team proud of its high job satisfaction and steep learning curve, with plenty of challenges and support to help you succeed. Would you like to join us? If you want to make an impact and help shape the future of dairy, apply as soon as possible. We process applications on a continuous basis and will close recruitment once the right candidate is found. Shape the Future of Dairy Arla is a global leader in the dairy industry, committed to enabling good food choices that make life better, providing people with natural, sustainable nourishment, while taking care at every step to ensure Arla is a choice they can feel good about. If you are looking to shape the future with an ambitious global cooperative that truly cares about your growth, where everyone feels valued and empowered, and collaboration is the core of culture, Arla is a choice you can feel good about
Apr 01, 2026
Full time
Senior Shift Engineering (Multi Skilled) Description Are you a talented multiskilled engineer looking to make a real impact at the UK's only Arla cheese packaging site? At Oswestry, you'll help ensure our machinery runs at its best so we can continue feeding the nation with the dairy products people love - from Cravendale to Skyr to Anchor. How you will make an impact At Arla, you'll join a supportive team with a strong focus on development and collaboration. Oswestry is a unique site we cover eight acres of land and package more than 350 different product types, we deliver 99.8% of customer orders on time, and if we lined up all the 20kg cheese blocks processed here in a year, they would outline the entire UK coastline. As a Senior Shift Engineer at Arla's Oswestry Packaging facility, you will play a key role in keeping our operation running smoothly within a fast paced, highly automated manufacturing environment. You will be the main point of contact between the shift team and the senior management team whilst youmaintain, repair and improve the equipment that allows us to produce high quality, tasty and nutritious products for millions of consumers. You will also take part in continuous improvement, support project activity, and help drive long term reliability across the site. Responding to breakdowns and ensuring a timely and effective resolution Completing planned preventative maintenance to minimise downtime Supporting CI initiatives and site wide improvement projects Installing, commissioning and optimising equipment and machinery Supporting colleagues with fault finding and upskilling staff You will be based at our Oswestry Packaging site in Shropshire, working a 3 on 3 off shift pattern (days & nights, 6-6). What will make you successful You'll bring both technical capability and the drive to make a difference. You enjoy solving problems, thrive in a fast moving manufacturing environment, and work collaboratively to achieve shared goals. We are looking for someone with strong experience as a multiskilled engineer-whether as a Shift Engineer, Maintenance Engineer or Engineering Technician-and with mechanical and electrical engineering expertise within manufacturing, production or process environments. You will hold an NVQ, City & Guilds, HNC, apprenticeship, or equivalent experience gained in a fast paced engineering setting. Ideally, you will also have experience working with fast moving machinery, pumps, valves, inverter drives, sensors, relays, Siemens PLCs, site services such as steam plants, chilled water systems and compressors, as well as CIP systems. Strong IT skills are essential, including SAP, Microsoft Office, SCADA, Trend systems and HMIs. You will also have time served experience as a multiskilled engineer within a manufacturing environment. What do we offer? We're committed to your growth and development, offering internal and external training opportunities. You'll enjoy a competitive salary, 24 days holiday, matched pension contributions up to 6%, life assurance, and flexible benefits. At Oswestry, you'll join a team proud of its high job satisfaction and steep learning curve, with plenty of challenges and support to help you succeed. Would you like to join us? If you want to make an impact and help shape the future of dairy, apply as soon as possible. We process applications on a continuous basis and will close recruitment once the right candidate is found. Shape the Future of Dairy Arla is a global leader in the dairy industry, committed to enabling good food choices that make life better, providing people with natural, sustainable nourishment, while taking care at every step to ensure Arla is a choice they can feel good about. If you are looking to shape the future with an ambitious global cooperative that truly cares about your growth, where everyone feels valued and empowered, and collaboration is the core of culture, Arla is a choice you can feel good about
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 01, 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.
Consortium Professional Recruitment
Hessle, North Humberside
Shift Multi-skilled Technician - Hull Salary: £50,400 + Overtime + Pension + Life Assurance 12-hour shifts, days and nights (24/7 operation) We're working with a well-established FMCG manufacturer in Hull, known for their high standards, strong team culture, and passion for doing things the right way. With continued growth and a focus on reliability and performance, they're looking for skilled Multi-skilled Technicians to join their maintenance team. The Opportunity This is a hands-on role in a fast-paced production environment, where your mechanical and electrical skills will play a key part in reducing downtime and driving performance. You'll be joining a supportive and close-knit team that values collaboration, high standards, and getting to the true root cause of issues rather than quick fixes. Your focus will be on carrying out planned preventative maintenance, responding effectively to breakdowns, and ensuring that work is completed safely and to the highest quality. The business prides itself on a "right first time" approach, so this role will suit someone who takes pride in their work and shares the same mindset. Shift Pattern and Salary £50,400 per annum 12-hour rotating shifts (days and nights) 24/7 operation What You'll Be Doing Delivering planned preventative maintenance across a range of plant and equipment Reacting to breakdowns quickly and applying root cause analysis to prevent reoccurrence Working to the highest standards of food safety, hygiene and compliance Supporting continuous improvement and reliability-focused projects Undertaking multi-skilled tasks, including basic electrical fault finding and repairs Building strong relationships with colleagues across production, QA and engineering What We're Looking For A time-served or qualified Engineer with strong multi-skilled ability (mechanical or electrical bias both considered) Proven experience within FMCG, food, or other regulated manufacturing environments A solid background in PPM and proactive equipment care Confidence in diagnosing root causes and delivering long-term solutions Basic electrical competence (fault finding, isolations, minor repairs) A genuine team player with a positive approach and commitment to high standards Consortium Professional Recruitment Ltd are a professional level recruitment consultancy specialising in the delivery of high relevance recruitment services on behalf of our clients across the UK. We regularly receive large responses to our advertising which can make providing individual feedback to every applicant challenging. If you haven't received a reply from us within 14 days of your application, we regret to say your application has been unsuccessful on this occasion. We have a policy of retaining your details for future vacancies unless you request otherwise. To learn more about our services, please visit
Apr 01, 2026
Full time
Shift Multi-skilled Technician - Hull Salary: £50,400 + Overtime + Pension + Life Assurance 12-hour shifts, days and nights (24/7 operation) We're working with a well-established FMCG manufacturer in Hull, known for their high standards, strong team culture, and passion for doing things the right way. With continued growth and a focus on reliability and performance, they're looking for skilled Multi-skilled Technicians to join their maintenance team. The Opportunity This is a hands-on role in a fast-paced production environment, where your mechanical and electrical skills will play a key part in reducing downtime and driving performance. You'll be joining a supportive and close-knit team that values collaboration, high standards, and getting to the true root cause of issues rather than quick fixes. Your focus will be on carrying out planned preventative maintenance, responding effectively to breakdowns, and ensuring that work is completed safely and to the highest quality. The business prides itself on a "right first time" approach, so this role will suit someone who takes pride in their work and shares the same mindset. Shift Pattern and Salary £50,400 per annum 12-hour rotating shifts (days and nights) 24/7 operation What You'll Be Doing Delivering planned preventative maintenance across a range of plant and equipment Reacting to breakdowns quickly and applying root cause analysis to prevent reoccurrence Working to the highest standards of food safety, hygiene and compliance Supporting continuous improvement and reliability-focused projects Undertaking multi-skilled tasks, including basic electrical fault finding and repairs Building strong relationships with colleagues across production, QA and engineering What We're Looking For A time-served or qualified Engineer with strong multi-skilled ability (mechanical or electrical bias both considered) Proven experience within FMCG, food, or other regulated manufacturing environments A solid background in PPM and proactive equipment care Confidence in diagnosing root causes and delivering long-term solutions Basic electrical competence (fault finding, isolations, minor repairs) A genuine team player with a positive approach and commitment to high standards Consortium Professional Recruitment Ltd are a professional level recruitment consultancy specialising in the delivery of high relevance recruitment services on behalf of our clients across the UK. We regularly receive large responses to our advertising which can make providing individual feedback to every applicant challenging. If you haven't received a reply from us within 14 days of your application, we regret to say your application has been unsuccessful on this occasion. We have a policy of retaining your details for future vacancies unless you request otherwise. To learn more about our services, please visit
Electrical Maintenance Engineer - PLC & Automation training up to 52,000 per annum + PLC courses + Van + Enhanced Overtime + External Training + Career Progression Monday to Friday 8:00am - 5:00pm Cheddar Are you an experienced Electrical Maintenance Engineer looking to take the next step in your career within a UK leading organisation that can enhance skillset by offer external training courses within PLC's, Automation and Robotics? Do you want a role within a business that are known for their progression paths and career development? Due to continued investment and growth, we are seeking a motivated Electrical Maintenance Engineer to join a highly skilled team within a forward-thinking, multi-million-pound organisation. In this role, you'll be responsible for carrying out a variety of electrical maintenance work on a wide range of equipment and machinery. You'll play a key part in ensuring equipment is built, maintained, and operating to the highest standard, while also developing your skills through ongoing external training. The ideal candidate will have their 18th edition and a level 3 electrical qualification, with experience working on electrical equipment in an engineering environment. You will need a basic knowledge of automated machinery and have had exposure to PLC's. Most importantly, you'll bring a proactive attitude and strong willingness to learn with the support of a business committed to helping you reach your full potential. This is an excellent opportunity to join a company that truly invests in its people offering career-long development, clear progression pathways, and the chance to significantly enhance your earnings. For further details, please click apply - REF 4621 The Role: Carry out planned Maintenance and repairs Reacting quickly to unexpected breakdowns Continuous training and progression opportunities The Candidate: Level 3 electrically qualified 18th edition Full driver's license elix sourcing solutions is a specialist recruiter for Engineering, IT and Science roles ranging from mid to senior level positions. Please be aware that we will only accept applications from candidates that have a valid work permit to work in the UK. By applying to this job, you are confirming that you do not hold a criminal record and that you know of no legal reason why you would be ineligible for employment. electical Engineer Engineering Fitter Maintenance Manufacturing Industrial Production automation automated robotics robotic cheddar Axbridge Weston-super-Mare Weston Winscombe congresbury wells
Apr 01, 2026
Full time
Electrical Maintenance Engineer - PLC & Automation training up to 52,000 per annum + PLC courses + Van + Enhanced Overtime + External Training + Career Progression Monday to Friday 8:00am - 5:00pm Cheddar Are you an experienced Electrical Maintenance Engineer looking to take the next step in your career within a UK leading organisation that can enhance skillset by offer external training courses within PLC's, Automation and Robotics? Do you want a role within a business that are known for their progression paths and career development? Due to continued investment and growth, we are seeking a motivated Electrical Maintenance Engineer to join a highly skilled team within a forward-thinking, multi-million-pound organisation. In this role, you'll be responsible for carrying out a variety of electrical maintenance work on a wide range of equipment and machinery. You'll play a key part in ensuring equipment is built, maintained, and operating to the highest standard, while also developing your skills through ongoing external training. The ideal candidate will have their 18th edition and a level 3 electrical qualification, with experience working on electrical equipment in an engineering environment. You will need a basic knowledge of automated machinery and have had exposure to PLC's. Most importantly, you'll bring a proactive attitude and strong willingness to learn with the support of a business committed to helping you reach your full potential. This is an excellent opportunity to join a company that truly invests in its people offering career-long development, clear progression pathways, and the chance to significantly enhance your earnings. For further details, please click apply - REF 4621 The Role: Carry out planned Maintenance and repairs Reacting quickly to unexpected breakdowns Continuous training and progression opportunities The Candidate: Level 3 electrically qualified 18th edition Full driver's license elix sourcing solutions is a specialist recruiter for Engineering, IT and Science roles ranging from mid to senior level positions. Please be aware that we will only accept applications from candidates that have a valid work permit to work in the UK. By applying to this job, you are confirming that you do not hold a criminal record and that you know of no legal reason why you would be ineligible for employment. electical Engineer Engineering Fitter Maintenance Manufacturing Industrial Production automation automated robotics robotic cheddar Axbridge Weston-super-Mare Weston Winscombe congresbury wells
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 01, 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.
Shift Engineer - 12-Hour Shifts (4 on / 4 off) - Days Location: Bishops Stortford Department: Engineering Hours: 07:00am to 19:00pm Role Overview Responsible for maintaining safe and efficient site operations through planned and reactive maintenance of plant, machinery, facilities, and utilities. Supports continuous improvement, reliability and site performance. Key Responsibilities Follow GMP, technical procedures, hygiene, and Health & Safety standards. Deliver planned and reactive maintenance across all production and facility areas. Respond quickly to breakdowns to reduce downtime. Diagnose faults independently and suggest improvements. Support continuous improvement and new equipment projects. Maintain tools, workshops, and engineering areas safely. Keep accurate maintenance logs and assist with parts and stock. Work effectively with production teams, contractors and on-site stakeholders. Represent engineering professionally at all times. Requirements 3+ years engineering experience in FMCG or similar environments. Multi-skilled with NVQ Level 3+ in Mechanical or Electrical engineering. Recognised engineering apprenticeship. Electrical Regulations certification. Experience in regulated industries; chilled/frozen environment preferred. Strong fault-finding and breakdown analysis skills. Health & Safety and basic food hygiene knowledge. Ability to read technical drawings and use CMMS systems. Strong communication, problem-solving and decision-making skills. Able to work under pressure and independently.
Apr 01, 2026
Full time
Shift Engineer - 12-Hour Shifts (4 on / 4 off) - Days Location: Bishops Stortford Department: Engineering Hours: 07:00am to 19:00pm Role Overview Responsible for maintaining safe and efficient site operations through planned and reactive maintenance of plant, machinery, facilities, and utilities. Supports continuous improvement, reliability and site performance. Key Responsibilities Follow GMP, technical procedures, hygiene, and Health & Safety standards. Deliver planned and reactive maintenance across all production and facility areas. Respond quickly to breakdowns to reduce downtime. Diagnose faults independently and suggest improvements. Support continuous improvement and new equipment projects. Maintain tools, workshops, and engineering areas safely. Keep accurate maintenance logs and assist with parts and stock. Work effectively with production teams, contractors and on-site stakeholders. Represent engineering professionally at all times. Requirements 3+ years engineering experience in FMCG or similar environments. Multi-skilled with NVQ Level 3+ in Mechanical or Electrical engineering. Recognised engineering apprenticeship. Electrical Regulations certification. Experience in regulated industries; chilled/frozen environment preferred. Strong fault-finding and breakdown analysis skills. Health & Safety and basic food hygiene knowledge. Ability to read technical drawings and use CMMS systems. Strong communication, problem-solving and decision-making skills. Able to work under pressure and independently.
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 01, 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 01, 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.
Shift Engineer - 12-Hour Shifts (4 on / 4 off) - Days Location: Bishops Stortford Department: Engineering Hours: 07:00am to 19:00pm Role Overview Responsible for maintaining safe and efficient site operations through planned and reactive maintenance of plant, machinery, facilities, and utilities. Supports continuous improvement, reliability and site performance. Key Responsibilities Follow GMP, technical procedures, hygiene, and Health & Safety standards. Deliver planned and reactive maintenance across all production and facility areas. Respond quickly to breakdowns to reduce downtime. Diagnose faults independently and suggest improvements. Support continuous improvement and new equipment projects. Maintain tools, workshops, and engineering areas safely. Keep accurate maintenance logs and assist with parts and stock. Work effectively with production teams, contractors and on-site stakeholders. Represent engineering professionally at all times. Requirements 3+ years engineering experience in FMCG or similar environments. Multi-skilled with NVQ Level 3+ in Mechanical or Electrical engineering. Recognised engineering apprenticeship. Electrical Regulations certification. Experience in regulated industries; chilled/frozen environment preferred. Strong fault-finding and breakdown analysis skills. Health & Safety and basic food hygiene knowledge. Ability to read technical drawings and use CMMS systems. Strong communication, problem-solving and decision-making skills. Able to work under pressure and independently.
Apr 01, 2026
Full time
Shift Engineer - 12-Hour Shifts (4 on / 4 off) - Days Location: Bishops Stortford Department: Engineering Hours: 07:00am to 19:00pm Role Overview Responsible for maintaining safe and efficient site operations through planned and reactive maintenance of plant, machinery, facilities, and utilities. Supports continuous improvement, reliability and site performance. Key Responsibilities Follow GMP, technical procedures, hygiene, and Health & Safety standards. Deliver planned and reactive maintenance across all production and facility areas. Respond quickly to breakdowns to reduce downtime. Diagnose faults independently and suggest improvements. Support continuous improvement and new equipment projects. Maintain tools, workshops, and engineering areas safely. Keep accurate maintenance logs and assist with parts and stock. Work effectively with production teams, contractors and on-site stakeholders. Represent engineering professionally at all times. Requirements 3+ years engineering experience in FMCG or similar environments. Multi-skilled with NVQ Level 3+ in Mechanical or Electrical engineering. Recognised engineering apprenticeship. Electrical Regulations certification. Experience in regulated industries; chilled/frozen environment preferred. Strong fault-finding and breakdown analysis skills. Health & Safety and basic food hygiene knowledge. Ability to read technical drawings and use CMMS systems. Strong communication, problem-solving and decision-making skills. Able to work under pressure and independently.
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 01, 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 01, 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.
