Join Our Team as an Industrial Cleaning Operative! Location: Holmewood, North East Derbyshire S42 Monday - Friday 2pm-10:30pm 12.71ph 1-2 weeks work only Are you ready to roll up your sleeves and dive into a dynamic working environment? We're looking for enthusiastic and dedicated Industrial Cleaning Operatives to join our team in Holmewood! This is your chance to be part of a supportive and thriving manufacturing environment where your efforts truly make a difference. Why Join Us? At our company, we believe that every role is essential! As an Industrial Cleaning Operative, you'll play a vital part in maintaining a safe, clean, and efficient work place. We value hard work, positivity, and teamwork, and we're excited to welcome new talent into our friendly family! What You'll Be Doing: To remove all excess extraction build up from the extraction systems. This consists of a thick, sticky wax substance, that has increased over a number of years. Using a chemical product to break down the substance and clean it away. Must be willing to work hard. It's a dirty and relentless job in confined, hot conditions Must be agile, physically fit and be able to withstand the above conditions whilst working to requirements. Safety boots needed, all other PPE is provided What We're Looking For: A positive attitude and a strong work ethic Attention to detail and a commitment to quality Ability to work independently and as part of a team Previous experience in industrial cleaning is a plus, but not essential Flexibility to work various shifts as required This is a physically demanding role and you must be able to cope with very manual work for 8 hour shifts a day in a hot and dirty production environment. Ready to Shine? If you're excited about contributing to a clean and safe workplace, we want to hear from you! Don't miss out on this fantastic opportunity to join our enthusiastic team in Holmewood. Let's work together to create a sparkling clean space where productivity thrives! Apply today and take the first step toward a rewarding role in industrial cleaning. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
May 11, 2026
Seasonal
Join Our Team as an Industrial Cleaning Operative! Location: Holmewood, North East Derbyshire S42 Monday - Friday 2pm-10:30pm 12.71ph 1-2 weeks work only Are you ready to roll up your sleeves and dive into a dynamic working environment? We're looking for enthusiastic and dedicated Industrial Cleaning Operatives to join our team in Holmewood! This is your chance to be part of a supportive and thriving manufacturing environment where your efforts truly make a difference. Why Join Us? At our company, we believe that every role is essential! As an Industrial Cleaning Operative, you'll play a vital part in maintaining a safe, clean, and efficient work place. We value hard work, positivity, and teamwork, and we're excited to welcome new talent into our friendly family! What You'll Be Doing: To remove all excess extraction build up from the extraction systems. This consists of a thick, sticky wax substance, that has increased over a number of years. Using a chemical product to break down the substance and clean it away. Must be willing to work hard. It's a dirty and relentless job in confined, hot conditions Must be agile, physically fit and be able to withstand the above conditions whilst working to requirements. Safety boots needed, all other PPE is provided What We're Looking For: A positive attitude and a strong work ethic Attention to detail and a commitment to quality Ability to work independently and as part of a team Previous experience in industrial cleaning is a plus, but not essential Flexibility to work various shifts as required This is a physically demanding role and you must be able to cope with very manual work for 8 hour shifts a day in a hot and dirty production environment. Ready to Shine? If you're excited about contributing to a clean and safe workplace, we want to hear from you! Don't miss out on this fantastic opportunity to join our enthusiastic team in Holmewood. Let's work together to create a sparkling clean space where productivity thrives! Apply today and take the first step toward a rewarding role in industrial cleaning. Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. The Adecco Group UK & Ireland is an Equal Opportunities Employer. By applying for this role your details will be submitted to Adecco. Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Commercial Property Solicitor - Autonomy, Progression & Real Local Impact Location: Barnsley & Penistone (flexible multi-site working) Are you a Commercial Property Solicitor looking for something a bit more hands-on, where you can genuinely make your mark? I'm working with a well-regarded, growing firm that's known for delivering high-quality legal services to local businesses and individuals. Due to continued growth and success in the local area, they're now looking to bring in a Commercial Property Solicitor to strengthen the team. This is a great opportunity if you're looking to take ownership of your work, build strong relationships in the local market, and play a key role in developing a commercial property offering. The role You'll be managing your own varied caseload, including: Freehold and leasehold acquisitions and disposals Acting for both landlords and tenants on commercial leases Lease renewals and variations Development work Option agreements and overage Secured lending and property finance Portfolio management You'll have the autonomy to run files from start to finish, with support from colleagues when needed - but without unnecessary micromanagement. What they're looking for Qualified Solicitor (open on PQE - it's more about the right person Commercially aware with a pragmatic approach Strong client relationship skills Experience working with SMEs, developers or lenders would be a bonus Why consider this? This firm offers a really nice balance - plenty of autonomy, but still a supportive environment where you're not left on your own. You'll also get the chance to: Build your profile in the local market Work closely with agents, brokers and other professionals Get involved in networking and business development Play a part in shaping the future of the commercial property team Progress into something more senior as the team grows The package Flexible working across Barnsley and Penistone offices (free parking at Penistone, and local affordable in Barnsley) Competitive salary depending on experience 28 days holiday (increasing with length of service) Entire Christmas off + no need to take out of annual leave allowance This is a firm that's at a really exciting period of organic growth with a lot of scope to be able to make this role what you need out of it so if you're looking for a role where you can step up, have more ownership, and be part of a genuinely growing team, it's definitely worth a conversation. For more information, please reach out to me here:
May 11, 2026
Full time
Commercial Property Solicitor - Autonomy, Progression & Real Local Impact Location: Barnsley & Penistone (flexible multi-site working) Are you a Commercial Property Solicitor looking for something a bit more hands-on, where you can genuinely make your mark? I'm working with a well-regarded, growing firm that's known for delivering high-quality legal services to local businesses and individuals. Due to continued growth and success in the local area, they're now looking to bring in a Commercial Property Solicitor to strengthen the team. This is a great opportunity if you're looking to take ownership of your work, build strong relationships in the local market, and play a key role in developing a commercial property offering. The role You'll be managing your own varied caseload, including: Freehold and leasehold acquisitions and disposals Acting for both landlords and tenants on commercial leases Lease renewals and variations Development work Option agreements and overage Secured lending and property finance Portfolio management You'll have the autonomy to run files from start to finish, with support from colleagues when needed - but without unnecessary micromanagement. What they're looking for Qualified Solicitor (open on PQE - it's more about the right person Commercially aware with a pragmatic approach Strong client relationship skills Experience working with SMEs, developers or lenders would be a bonus Why consider this? This firm offers a really nice balance - plenty of autonomy, but still a supportive environment where you're not left on your own. You'll also get the chance to: Build your profile in the local market Work closely with agents, brokers and other professionals Get involved in networking and business development Play a part in shaping the future of the commercial property team Progress into something more senior as the team grows The package Flexible working across Barnsley and Penistone offices (free parking at Penistone, and local affordable in Barnsley) Competitive salary depending on experience 28 days holiday (increasing with length of service) Entire Christmas off + no need to take out of annual leave allowance This is a firm that's at a really exciting period of organic growth with a lot of scope to be able to make this role what you need out of it so if you're looking for a role where you can step up, have more ownership, and be part of a genuinely growing team, it's definitely worth a conversation. For more information, please reach out to me here:
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. This role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do Lead" product discovery and definition "for the future integration and workflow platform. Define the" product vision, scope, and roadmap "for integration platform modernisation. Translate architectural analysis into" clear product capabilities and priorities . Work closely with" Architecture and Engineering "to shape the future integration model across AdTech . Partner with" CX teams "to understand operational workflow impacts and user experience implications. Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach. Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis. Balance" operational continuity with long-term platform simplification and resilience . Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation . Strong technical understanding of" integration platforms, APIs, messaging, and data flows . Experience working in" early-stage discovery and shaping product direction in ambiguous environments . Relevant" AdTech, media, or broadcast industry experience . Experience working closely with" architects, engineers, CX teams and delivery leads . Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions . Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers) A generous pension package " Private healthcare " Discounts and cashback at over 800 Retailers Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 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. This role provides" time-bound Product Management leadership to shape the future integration and workflow platform that underpins advertising campaign delivery . The Product Manager will lead the" discovery, definition and roadmap development "for a modernised integration platform that simplifies and replaces legacy capabilities while enabling the broader AdTech platform strategy. This role requires a Product Manager comfortable operating in" early-stage discovery and technical ambiguity , working closely with architects, engineers, CX teams, and Product Owners to define the future integration model. A key responsibility will be" evaluating platform approaches, technology options and vendor capabilities "where appropriate , ensuring that the future platform aligns with the long-term architecture and operational needs of Advertising Technology. What you'll do Lead" product discovery and definition "for the future integration and workflow platform. Define the" product vision, scope, and roadmap "for integration platform modernisation. Translate architectural analysis into" clear product capabilities and priorities . Work closely with" Architecture and Engineering "to shape the future integration model across AdTech . Partner with" CX teams "to understand operational workflow impacts and user experience implications. Collaborate with" Product Owners / delivery leads "to shape delivery sequencing and implementation approach. Support" vendor and technology evaluations , including build vs buy assessments and solution fit analysis. Balance" operational continuity with long-term platform simplification and resilience . Define" success measures, milestones, and transition plans into BAU product ownership . What you'll bring Proven Product Management experience in" platform modernisation, integration programmes, or large-scale technical transformation . Strong technical understanding of" integration platforms, APIs, messaging, and data flows . Experience working in" early-stage discovery and shaping product direction in ambiguous environments . Relevant" AdTech, media, or broadcast industry experience . Experience working closely with" architects, engineers, CX teams and delivery leads . Experience contributing to" technology evaluation, vendor analysis, or platform capability decisions . Strong stakeholder management skills and the confidence to" shape product direction and influence decision making . Team overview Content technology and innovation Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content. The rewards There's one thing people can't stop talking about when it comes to : the perks . Here's a taster: " Access to free NOW, for streaming all your favourite shows"( for non-Sky customers) A generous pension package " Private healthcare " Discounts and cashback at over 800 Retailers Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Are you looking to join a highly regarded firm offering a competitive salary, private medical insurance, pension, discretionary bonus, 25 days' holiday, wellbeing support, and more? This is an excellent opportunity to join a supportive Probate team handling a full and varied estate administration caseload, with the potential pathway to qualification as a Chartered Legal Executive where relevant. About the Firm: • Highly regarded law firm with a strong reputation for private client work • Supportive and collaborative culture with excellent technical supervision • Strong commitment to client care and professional development • Opportunity to work on high-quality estate administration matters Private Client Fee Earner - Position Overview: You will manage a varied caseload of probate matters from initial instruction through to final estate distribution, with minimal supervision, while also supporting senior members of the Probate team and Partners on more complex estate administration matters. Key Responsibilities of the Private Client Fee Earner: • Managing a full caseload of estate administration matters • Collecting in estate assets and identifying liabilities • Liaising with banks, accountants, valuers and financial institutions to obtain date of death valuations • Preparing applications for grants of probate and letters of administration • Liaising with the Probate Registry and handling administration formalities • Preparing estate accounts and managing distributions to beneficiaries and legatees • Dealing with estate tax reporting and compliance matters, including liaison with HMRC • Providing clear and practical advice to clients and executors throughout the administration process • Overseeing onboarding, file opening, compliance, file closing and archiving • Maintaining accurate electronic files, drafting correspondence and handling enquiries Requirements of the Private Client Fee Earner: • CILEX qualification, STEP qualification, or equivalent experience preferred but not essential • Relevant private client experience within a law firm or similar practice • Good academic background including 3 A-levels (minimum BBB) and GCSE Maths and English at grade A -C / 9-4 or equivalent • Strong administrative and organisational skills • Good working knowledge of Microsoft Office including Excel and Word • Excellent written and spoken English • Strong numeracy, accuracy and attention to detail • Confident IT user • Ability to work independently and as part of a team • Discreet and professional when handling confidential information • Good telephone manner and client care skills • Positive attitude, flexibility and willingness to learn The Benefits for the Private Client Fee Earner role: • Competitive salary • 25 days' holiday • BUPA Medical Insurance • Pension scheme • Discretionary bonus scheme • Life assurance • Wellbeing programme • Cycle to Work scheme • And more If you are a probate professional looking to join a supportive and well-regarded team, apply today. Alternatively, contact Shabir at Law Staff Limited quoting reference BH-37721 PLEASE CHECK YOUR EMAIL (INCLUDING SPAM FOLDER) FOR CONFIRMATION THAT YOUR APPLICATION HAS BEEN RECEIVED. In accordance with The Conduct of Employment Agencies and Employment Businesses Regulations 2003.
May 11, 2026
Full time
Are you looking to join a highly regarded firm offering a competitive salary, private medical insurance, pension, discretionary bonus, 25 days' holiday, wellbeing support, and more? This is an excellent opportunity to join a supportive Probate team handling a full and varied estate administration caseload, with the potential pathway to qualification as a Chartered Legal Executive where relevant. About the Firm: • Highly regarded law firm with a strong reputation for private client work • Supportive and collaborative culture with excellent technical supervision • Strong commitment to client care and professional development • Opportunity to work on high-quality estate administration matters Private Client Fee Earner - Position Overview: You will manage a varied caseload of probate matters from initial instruction through to final estate distribution, with minimal supervision, while also supporting senior members of the Probate team and Partners on more complex estate administration matters. Key Responsibilities of the Private Client Fee Earner: • Managing a full caseload of estate administration matters • Collecting in estate assets and identifying liabilities • Liaising with banks, accountants, valuers and financial institutions to obtain date of death valuations • Preparing applications for grants of probate and letters of administration • Liaising with the Probate Registry and handling administration formalities • Preparing estate accounts and managing distributions to beneficiaries and legatees • Dealing with estate tax reporting and compliance matters, including liaison with HMRC • Providing clear and practical advice to clients and executors throughout the administration process • Overseeing onboarding, file opening, compliance, file closing and archiving • Maintaining accurate electronic files, drafting correspondence and handling enquiries Requirements of the Private Client Fee Earner: • CILEX qualification, STEP qualification, or equivalent experience preferred but not essential • Relevant private client experience within a law firm or similar practice • Good academic background including 3 A-levels (minimum BBB) and GCSE Maths and English at grade A -C / 9-4 or equivalent • Strong administrative and organisational skills • Good working knowledge of Microsoft Office including Excel and Word • Excellent written and spoken English • Strong numeracy, accuracy and attention to detail • Confident IT user • Ability to work independently and as part of a team • Discreet and professional when handling confidential information • Good telephone manner and client care skills • Positive attitude, flexibility and willingness to learn The Benefits for the Private Client Fee Earner role: • Competitive salary • 25 days' holiday • BUPA Medical Insurance • Pension scheme • Discretionary bonus scheme • Life assurance • Wellbeing programme • Cycle to Work scheme • And more If you are a probate professional looking to join a supportive and well-regarded team, apply today. Alternatively, contact Shabir at Law Staff Limited quoting reference BH-37721 PLEASE CHECK YOUR EMAIL (INCLUDING SPAM FOLDER) FOR CONFIRMATION THAT YOUR APPLICATION HAS BEEN RECEIVED. In accordance with The Conduct of Employment Agencies and Employment Businesses Regulations 2003.
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.
May 11, 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 : Support the Senior Product Manager - Creative Capabilities to enable our Product Vision & deliver the Product Backlog for Workflow Management enabling the business to deliver on their requirements. Support a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem . Govern the usage of the Workflow management platforms within the business, managing the operating model and establishing appropriate controls and workflows for our tools. Enable business adoption , supporting Ideation Workshops and User Story Creation, to drive product requirements and drive the adoption of workflow management in the business. Advise on Workflow management best practice including Process Documentation, Design and Implementation, meta data and tagging, and operating model development. Join Quarterly Planning & support experimentation & development teams in sprint planning as required . Support our Workflow management vendor partnerships & ensure tooling remains best-in-class . Ensure Technology Stack for Workflow Management adheres to Compliance & Policy Requirement s . Support MarTech leadership in implementing martech strategy and specific initiatives . What you'll bring : Experience of working with Adobe Workfront or similar Workflow management tools, integrating them with wider marketing technology & ensuring deployment and adoption across complex organisations. Experience working with Adobe Fusion preferable but not essential, identifying opportunities to use this or similar IPAAS to optimise and automate workflows. Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include Workflow tools, digital marketing, creative suite tooling, personalisation and others. A proven track record of product ownership in a complex & fast moving organisation. Proven track record influencing and working with decision makers to drive strategic decisions. Experience working in Agile Product Management preferred, and experience of SAFe Framework beneficial. Demonstrable experience of having built effective and trusted relationships with partners. Highly collaborative style and able to thrive in a team with experience of operating in a matrix structure, in fast paced organisations. A passion for media and technology - it's at the core of everything we do. Team Overview The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on: Deepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scale. Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities Embedding best practice technologies and championing their adoption to further consolidate technology choices. Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation. Building internal Martech capabilities to enable & empower teams aoss Sky Residential & Group OTT and to drive operating efficiencies. The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications. offer.
May 11, 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 : Support the Senior Product Manager - Creative Capabilities to enable our Product Vision & deliver the Product Backlog for Workflow Management enabling the business to deliver on their requirements. Support a delivery roadmap of features, product releases, and integrations with the wider Sky technology & tooling ecosystem . Govern the usage of the Workflow management platforms within the business, managing the operating model and establishing appropriate controls and workflows for our tools. Enable business adoption , supporting Ideation Workshops and User Story Creation, to drive product requirements and drive the adoption of workflow management in the business. Advise on Workflow management best practice including Process Documentation, Design and Implementation, meta data and tagging, and operating model development. Join Quarterly Planning & support experimentation & development teams in sprint planning as required . Support our Workflow management vendor partnerships & ensure tooling remains best-in-class . Ensure Technology Stack for Workflow Management adheres to Compliance & Policy Requirement s . Support MarTech leadership in implementing martech strategy and specific initiatives . What you'll bring : Experience of working with Adobe Workfront or similar Workflow management tools, integrating them with wider marketing technology & ensuring deployment and adoption across complex organisations. Experience working with Adobe Fusion preferable but not essential, identifying opportunities to use this or similar IPAAS to optimise and automate workflows. Experience with additional marketing technology capabilities preferred, as it will be beneficial in working with wider teams across the business. This could include Workflow tools, digital marketing, creative suite tooling, personalisation and others. A proven track record of product ownership in a complex & fast moving organisation. Proven track record influencing and working with decision makers to drive strategic decisions. Experience working in Agile Product Management preferred, and experience of SAFe Framework beneficial. Demonstrable experience of having built effective and trusted relationships with partners. Highly collaborative style and able to thrive in a team with experience of operating in a matrix structure, in fast paced organisations. A passion for media and technology - it's at the core of everything we do. Team Overview The Marketing Technology team deliver capability that allows us to attract, engage & retain customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on: Deepening of Martech specialisms and greater alignment and visibility across the group to drive additional value and economies of scale. Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities Embedding best practice technologies and championing their adoption to further consolidate technology choices. Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation. Building internal Martech capabilities to enable & empower teams aoss Sky Residential & Group OTT and to drive operating efficiencies. The Rewards: There's a reason people can't stop talking about ! Our great range of rewards really are something special, here are just a few: Sky Q, for the TV you love all in one place A generous pension package Private healthcare Discounted mobile and broadband Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications. 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.
May 11, 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.
Closing date: 22-05-2026 Customer Team Leader Location: 18 Fife Street , Dufftown, AB55 4AL Pay: £14.48 per hour Contract: 30 hours per week + regular overtime, permanent contract Working pattern: Closing shifts from mid-afternoon through to 10pm and close, with flexible availability across the week to include at least 1 weekend shift. Either Friday after 6pm, any shift on Saturday, or Sunday. We're happy to discuss your availability further at interview. 30% colleague member discount in store - see below for more benefits Apply easily from your mobile by completing our assessments - no CV needed! You must be aged 18+ to authorise age-related sales Join us as a Customer Team Leader and take the next step toward managing your own store. As a Customer Team Leader, you'll lead a small team in a fast-paced Co-op store, helping to deliver essential services to your community. Depending on your store this could involve you working in our post office or bakery or supporting online services and our home delivery drivers. Whatever the day brings, you'll play a key role in making life easier for our customers. Why this job matters: You'll keep our shelves stocked and support sales, helping us offer even more choice and exciting new services to our customers. You'll be a familiar face in the community, getting to know your customers and helping us stay connected with local and national charities. Plus, you'll be a champion for Co-op membership, helping to drive the growth of our unique business. What you'll do Own the day-to-day running of the store by leading the team on your shift Motivate, coach, and support your team to deliver great service and efficient operations Work hands-on on the shop floor and tills, supporting daily operations and setting the pace for a team of Customer Team Members Support store performance through merchandising, stock accuracy, and HR processes Champion Co-op through community engagement and membership growth What you'll bring: Passion for people and leadership The ability to work flexibly and lead by example Skills in retail, merchandising, or team management (experience not essential) Why Co-op? At Co-op, we're owned by our members. And because we're owned by you, we can do right by you. So, when you join us, you're not just taking a job, you're joining a movement. We're an organisation that puts people and communities first, and we're powered by purpose. We want this to be a place where you can thrive, so you'll also receive: Full training and career development resources 30% discount on Co-op products in store Flexible access to you pay as you earn it Up to 10% pension contributions 36 days of holiday (pro-rata, including bank holidays) 24/7 access to GP appointments, and colleague support programme Market-leading policies to help you though life's big moments A place you'll belong: We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take 15- 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.
May 11, 2026
Full time
Closing date: 22-05-2026 Customer Team Leader Location: 18 Fife Street , Dufftown, AB55 4AL Pay: £14.48 per hour Contract: 30 hours per week + regular overtime, permanent contract Working pattern: Closing shifts from mid-afternoon through to 10pm and close, with flexible availability across the week to include at least 1 weekend shift. Either Friday after 6pm, any shift on Saturday, or Sunday. We're happy to discuss your availability further at interview. 30% colleague member discount in store - see below for more benefits Apply easily from your mobile by completing our assessments - no CV needed! You must be aged 18+ to authorise age-related sales Join us as a Customer Team Leader and take the next step toward managing your own store. As a Customer Team Leader, you'll lead a small team in a fast-paced Co-op store, helping to deliver essential services to your community. Depending on your store this could involve you working in our post office or bakery or supporting online services and our home delivery drivers. Whatever the day brings, you'll play a key role in making life easier for our customers. Why this job matters: You'll keep our shelves stocked and support sales, helping us offer even more choice and exciting new services to our customers. You'll be a familiar face in the community, getting to know your customers and helping us stay connected with local and national charities. Plus, you'll be a champion for Co-op membership, helping to drive the growth of our unique business. What you'll do Own the day-to-day running of the store by leading the team on your shift Motivate, coach, and support your team to deliver great service and efficient operations Work hands-on on the shop floor and tills, supporting daily operations and setting the pace for a team of Customer Team Members Support store performance through merchandising, stock accuracy, and HR processes Champion Co-op through community engagement and membership growth What you'll bring: Passion for people and leadership The ability to work flexibly and lead by example Skills in retail, merchandising, or team management (experience not essential) Why Co-op? At Co-op, we're owned by our members. And because we're owned by you, we can do right by you. So, when you join us, you're not just taking a job, you're joining a movement. We're an organisation that puts people and communities first, and we're powered by purpose. We want this to be a place where you can thrive, so you'll also receive: Full training and career development resources 30% discount on Co-op products in store Flexible access to you pay as you earn it Up to 10% pension contributions 36 days of holiday (pro-rata, including bank holidays) 24/7 access to GP appointments, and colleague support programme Market-leading policies to help you though life's big moments A place you'll belong: We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take 15- 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.
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.
May 11, 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.
Join the RAC as a Roadside Technician Join the team that keeps the UK moving. As a Roadside Technician with a Level 2 Light Vehicle Maintenance qualification (or equilavent) and at least 2 years' experience , you'll receive: A market-competitive base salary of £36,400 and a realistic OTE of £61,000, with top-performers earning significantly more through bonuses and enhanced overtime rates. Start and finish on your driveway. Demand-led shifts averaging 40 hours per week, with optional overtime available. What you'll need: • A Level 2 light vehicle maintenance qualification (or equivalent), with at least 2 years' post-qualification technical, electrical, and diagnostic experience • A customer-focused approach • A full UK driving licence As a Roadside Technician within our Patrol division, you'll deliver expert mechanical roadside repair, vehicle diagnostics, and emergency breakdown support across the UK. Whether it's a flat battery, tyre change, or complex fault-finding, you'll provide quick, confident solutions and reassurance when our members need it most. You'll start and end your day at home, tackling challenges head-on and making a real impact on the roadside - combining your technical expertise with outstanding member service. We'll set you up for success from day one, with your own RAC van, fuel card, full uniform, essential tools, and diagnostic kit all provided. The RAC has been a trusted name for over 125 years, combining heritage with innovation. If you're looking for a career in roadside automotive services that's rewarding, fast-paced, and full of variety - this is it. No CV required when you apply - it's easier than ever to start your journey with us. As a Roadside Technician at RAC, you'll get benefits that go the extra mile: Strong base pay - £36,400 and realistic OTE of £61,000, with top-performers earning significantly more through bonuses and enhanced overtime rates Share in our success - Join our colleague share scheme for free to benefit from the future growth of the business Free RAC Ultimate breakdown cover - From your very first day Car salary sacrifice scheme - Includes electric vehicle options (after 12 months) to help you save on tax Generous holidays - 23 days plus bank holidays (rising to 25 with service) Pension & life cover - Up to 6.5% matched pension contributions and life cover up to 4x your salary (10x with flex benefits) Wellbeing support - 24/7 confidential support helpline for you and your family Exclusive discounts - Save on tools, tech, holidays, and more through our Orange Savings portal Sound like your kind of role? Here's what we're after: You're more than a mechanic. You're a problem solver, a people person, and a proud ambassador for the RAC. Whether you're on a busy roadside or a quiet cul-de-sac, you stay calm under pressure and confident in your craft. You thrive on variety. One moment it's fault diagnostics, the next it's a flat tyre or battery - no two jobs are the same. You'll be equipped and ready for every call-out, with the tools, tech, and support to get the job done. You think on your feet. You'll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. Why RAC? For more than 128 years, we've been keeping drivers moving, and today we're trusted by over 15 million members. We're also trusted by our people, with a 4.5-star Glassdoor rating showing that RAC is a place where support, ambition, and opportunity go hand in hand. We welcome people from every background, value every voice, and back your growth every step of the way. At the RAC, you can bring your full self to work and we'll be with you every step of the way to help you grow and develop your career.
May 11, 2026
Full time
Join the RAC as a Roadside Technician Join the team that keeps the UK moving. As a Roadside Technician with a Level 2 Light Vehicle Maintenance qualification (or equilavent) and at least 2 years' experience , you'll receive: A market-competitive base salary of £36,400 and a realistic OTE of £61,000, with top-performers earning significantly more through bonuses and enhanced overtime rates. Start and finish on your driveway. Demand-led shifts averaging 40 hours per week, with optional overtime available. What you'll need: • A Level 2 light vehicle maintenance qualification (or equivalent), with at least 2 years' post-qualification technical, electrical, and diagnostic experience • A customer-focused approach • A full UK driving licence As a Roadside Technician within our Patrol division, you'll deliver expert mechanical roadside repair, vehicle diagnostics, and emergency breakdown support across the UK. Whether it's a flat battery, tyre change, or complex fault-finding, you'll provide quick, confident solutions and reassurance when our members need it most. You'll start and end your day at home, tackling challenges head-on and making a real impact on the roadside - combining your technical expertise with outstanding member service. We'll set you up for success from day one, with your own RAC van, fuel card, full uniform, essential tools, and diagnostic kit all provided. The RAC has been a trusted name for over 125 years, combining heritage with innovation. If you're looking for a career in roadside automotive services that's rewarding, fast-paced, and full of variety - this is it. No CV required when you apply - it's easier than ever to start your journey with us. As a Roadside Technician at RAC, you'll get benefits that go the extra mile: Strong base pay - £36,400 and realistic OTE of £61,000, with top-performers earning significantly more through bonuses and enhanced overtime rates Share in our success - Join our colleague share scheme for free to benefit from the future growth of the business Free RAC Ultimate breakdown cover - From your very first day Car salary sacrifice scheme - Includes electric vehicle options (after 12 months) to help you save on tax Generous holidays - 23 days plus bank holidays (rising to 25 with service) Pension & life cover - Up to 6.5% matched pension contributions and life cover up to 4x your salary (10x with flex benefits) Wellbeing support - 24/7 confidential support helpline for you and your family Exclusive discounts - Save on tools, tech, holidays, and more through our Orange Savings portal Sound like your kind of role? Here's what we're after: You're more than a mechanic. You're a problem solver, a people person, and a proud ambassador for the RAC. Whether you're on a busy roadside or a quiet cul-de-sac, you stay calm under pressure and confident in your craft. You thrive on variety. One moment it's fault diagnostics, the next it's a flat tyre or battery - no two jobs are the same. You'll be equipped and ready for every call-out, with the tools, tech, and support to get the job done. You think on your feet. You'll be trusted to think on your feet and make the right call for each customer. Different fixes, different faces, new challenges every day. Why RAC? For more than 128 years, we've been keeping drivers moving, and today we're trusted by over 15 million members. We're also trusted by our people, with a 4.5-star Glassdoor rating showing that RAC is a place where support, ambition, and opportunity go hand in hand. We welcome people from every background, value every voice, and back your growth every step of the way. At the RAC, you can bring your full self to work and we'll be with you every step of the way to help you grow and develop your career.
This is an excellent opportunity for an experienced Legal Secretary to join a busy and supportive Private Client team in Worthing. Working closely with a Probate Partner and wider fee-earning team, the Legal Secretary will play a key role in ensuring the smooth running of the department and delivering a professional, efficient service to clients at what can often be a sensitive time.Day to day, the Legal Secretary will: Provide comprehensive secretarial and administrative support to legal professionals Manage calendars, schedule appointments and organise meetings Prepare, proofread and format a wide range of legal documents using Microsoft Word and Excel Undertake audio typing for legal correspondence and documentation Maintain well-organised electronic and paper filing systems, including opening, closing, storing and retrieving client files in line with office procedures Liaise with clients, the Probate Registry, OPG, utility companies and other organisations, always delivering a calm and professional service Handle general office duties such as answering telephones, managing correspondence and maintaining office supplies Use IT systems and case management effectively to manage information and support the wider office Provide flexible cover for other legal secretaries across the business when required To be successful in this role, the Legal Secretary will need to bring: Proven experience as a Legal Secretary or in a similar role within a legal environment Strong audio typing skills and a high level of accuracy and attention to detail Confident IT skills, with solid experience of Microsoft Office (Outlook, Word, Excel) Excellent time management skills, with the ability to prioritise a busy workload and work well under pressure Clear and professional communication skills, both written and verbal, to deal effectively with clients and colleagues A proactive, can-do approach, able to work independently as well as collaboratively as part of a team A professional, client-focused attitude and a confidential, discreet approach to sensitive matters Experience within Probate, Conveyancing or Litigation would be highly beneficial.This opportunity is with a well-established, reputable law firm with a strong presence in the local area. The firm is known for its friendly, professional culture and commitment to delivering high-quality client care across all departments. Joining this firm means becoming part of a team that values integrity, teamwork and long-term relationships with both clients and staff.If you are an experienced Legal Secretary with a background in Private Client or another area of law and are looking for your next step in Worthing, please apply today with your CV. In application for this role, you are consenting to TN Recruits Ltd retaining your details to secure you work. All information provided will be held securely for up to 3 years unless we are contacted and instructed otherwise. IND1
May 11, 2026
Full time
This is an excellent opportunity for an experienced Legal Secretary to join a busy and supportive Private Client team in Worthing. Working closely with a Probate Partner and wider fee-earning team, the Legal Secretary will play a key role in ensuring the smooth running of the department and delivering a professional, efficient service to clients at what can often be a sensitive time.Day to day, the Legal Secretary will: Provide comprehensive secretarial and administrative support to legal professionals Manage calendars, schedule appointments and organise meetings Prepare, proofread and format a wide range of legal documents using Microsoft Word and Excel Undertake audio typing for legal correspondence and documentation Maintain well-organised electronic and paper filing systems, including opening, closing, storing and retrieving client files in line with office procedures Liaise with clients, the Probate Registry, OPG, utility companies and other organisations, always delivering a calm and professional service Handle general office duties such as answering telephones, managing correspondence and maintaining office supplies Use IT systems and case management effectively to manage information and support the wider office Provide flexible cover for other legal secretaries across the business when required To be successful in this role, the Legal Secretary will need to bring: Proven experience as a Legal Secretary or in a similar role within a legal environment Strong audio typing skills and a high level of accuracy and attention to detail Confident IT skills, with solid experience of Microsoft Office (Outlook, Word, Excel) Excellent time management skills, with the ability to prioritise a busy workload and work well under pressure Clear and professional communication skills, both written and verbal, to deal effectively with clients and colleagues A proactive, can-do approach, able to work independently as well as collaboratively as part of a team A professional, client-focused attitude and a confidential, discreet approach to sensitive matters Experience within Probate, Conveyancing or Litigation would be highly beneficial.This opportunity is with a well-established, reputable law firm with a strong presence in the local area. The firm is known for its friendly, professional culture and commitment to delivering high-quality client care across all departments. Joining this firm means becoming part of a team that values integrity, teamwork and long-term relationships with both clients and staff.If you are an experienced Legal Secretary with a background in Private Client or another area of law and are looking for your next step in Worthing, please apply today with your CV. In application for this role, you are consenting to TN Recruits Ltd retaining your details to secure you work. All information provided will be held securely for up to 3 years unless we are contacted and instructed otherwise. IND1
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.
May 11, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.
May 11, 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.
May 11, 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.
Job Title: Residential Conveyancer (Solicitor / Chartered Legal Executive) Location: Winchester Salary: £35,000 - £60,000 (DOE) Benefits: Bonus scheme (monthly paid performance bonuses, up to c. £15,000 per year max potential) Private healthcare Pension scheme Death in service cover 25 days holiday + bank holidays Christmas office closure Birthday leave Online review bonus scheme About the Company: A well-established, multi-office regional law firm with a strong and growing residential property offering. The firm has seen a significant increase in client enquiries and transaction volumes, particularly across its Winchester and Southampton offices. Due to sustained demand, the residential conveyancing team has expanded but continues to require additional experienced fee earners to fully service its pipeline of work. The culture is supportive and performance-driven, with long-standing teams and strong internal retention across departments. Role Summary: This is a key hire within aresidential conveyancing team. The successful candidate will join a busy and expanding department, taking on an existing caseload and working alongside experienced support staff to ensure smooth delivery of client matters. Key Responsibilities: Manage a full residential conveyancing caseload from instruction through to completion, ensuring smooth and efficient transactions Provide clear, timely client communication to maintain strong service levels and client satisfaction Work closely with support staff to progress matters efficiently and meet high-volume demand Ensure compliance with all regulatory and internal quality standards across all transactions Contribute to maintaining strong client relationships and repeat business in a busy regional practice Requirements: Qualified Solicitor or Chartered Legal Executive with residential conveyancing experience Ability to manage your own caseload independently with minimal supervision Strong technical knowledge of residential property transactions Confident, proactive approach with the ability to work in a fast-paced environment Strong client-facing and communication skills If this role isn't quite right, it's still worth speaking to one of our specialist team - we may be working on something that hasn't hit the market yet. Related Job Titles: Residential Property Solicitor, Conveyancing Solicitor, Property Lawyer, Chartered Legal Executive (Conveyancing), Fee Earner - Residential Property
May 11, 2026
Full time
Job Title: Residential Conveyancer (Solicitor / Chartered Legal Executive) Location: Winchester Salary: £35,000 - £60,000 (DOE) Benefits: Bonus scheme (monthly paid performance bonuses, up to c. £15,000 per year max potential) Private healthcare Pension scheme Death in service cover 25 days holiday + bank holidays Christmas office closure Birthday leave Online review bonus scheme About the Company: A well-established, multi-office regional law firm with a strong and growing residential property offering. The firm has seen a significant increase in client enquiries and transaction volumes, particularly across its Winchester and Southampton offices. Due to sustained demand, the residential conveyancing team has expanded but continues to require additional experienced fee earners to fully service its pipeline of work. The culture is supportive and performance-driven, with long-standing teams and strong internal retention across departments. Role Summary: This is a key hire within aresidential conveyancing team. The successful candidate will join a busy and expanding department, taking on an existing caseload and working alongside experienced support staff to ensure smooth delivery of client matters. Key Responsibilities: Manage a full residential conveyancing caseload from instruction through to completion, ensuring smooth and efficient transactions Provide clear, timely client communication to maintain strong service levels and client satisfaction Work closely with support staff to progress matters efficiently and meet high-volume demand Ensure compliance with all regulatory and internal quality standards across all transactions Contribute to maintaining strong client relationships and repeat business in a busy regional practice Requirements: Qualified Solicitor or Chartered Legal Executive with residential conveyancing experience Ability to manage your own caseload independently with minimal supervision Strong technical knowledge of residential property transactions Confident, proactive approach with the ability to work in a fast-paced environment Strong client-facing and communication skills If this role isn't quite right, it's still worth speaking to one of our specialist team - we may be working on something that hasn't hit the market yet. Related Job Titles: Residential Property Solicitor, Conveyancing Solicitor, Property Lawyer, Chartered Legal Executive (Conveyancing), Fee Earner - Residential Property
Closing date: 21-05-2026 Customer Team Leader Location: 32 Hopetoun Drive , Haddington, EH41 3AT Pay: £14.48 per hour Contract: 24 hours per week + regular overtime, permanent contract, part time Working pattern: A mix of opening (5.45am), closing (10.15pm), and mid day shifts, with flexibility across the week including at least 2 evening shifts and 1 weekend shift. Either, Friday after 6pm, any shift on Saturday, or Sunday. We're happy to discuss your availability further at interview. 30% colleague member discount in store - see below for more benefits Apply easily from your mobile by completing our assessments - no CV needed! You must be aged 18+ to authorise age-related sales Join us as a Customer Team Leader and take the next step toward managing your own store. As a Customer Team Leader, you'll lead a small team in a fast-paced Co-op store, helping to deliver essential services to your community. Depending on your store this could involve you working in our post office or bakery or supporting online services and our home delivery drivers. Whatever the day brings, you'll play a key role in making life easier for our customers. Why this job matters: You'll keep our shelves stocked and support sales, helping us offer even more choice and exciting new services to our customers. You'll be a familiar face in the community, getting to know your customers and helping us stay connected with local and national charities. Plus, you'll be a champion for Co-op membership, helping to drive the growth of our unique business. What you'll do Own the day-to-day running of the store by leading the team on your shift Motivate, coach, and support your team to deliver great service and efficient operations Work hands-on on the shop floor and tills, supporting daily operations and setting the pace for a team of Customer Team Members Support store performance through merchandising, stock accuracy, and HR processes Champion Co-op through community engagement and membership growth What you'll bring: Passion for people and leadership The ability to work flexibly and lead by example Skills in retail, merchandising, or team management (experience not essential) Why Co-op? At Co-op, we're owned by our members. And because we're owned by you, we can do right by you. So, when you join us, you're not just taking a job, you're joining a movement. We're an organisation that puts people and communities first, and we're powered by purpose. We want this to be a place where you can thrive, so you'll also receive: Full training and career development resources 30% discount on Co-op products in store Flexible access to you pay as you earn it Up to 10% pension contributions 36 days of holiday (pro-rata, including bank holidays) 24/7 access to GP appointments, and colleague support programme Market-leading policies to help you though life's big moments A place you'll belong: We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take 15- 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.
May 11, 2026
Full time
Closing date: 21-05-2026 Customer Team Leader Location: 32 Hopetoun Drive , Haddington, EH41 3AT Pay: £14.48 per hour Contract: 24 hours per week + regular overtime, permanent contract, part time Working pattern: A mix of opening (5.45am), closing (10.15pm), and mid day shifts, with flexibility across the week including at least 2 evening shifts and 1 weekend shift. Either, Friday after 6pm, any shift on Saturday, or Sunday. We're happy to discuss your availability further at interview. 30% colleague member discount in store - see below for more benefits Apply easily from your mobile by completing our assessments - no CV needed! You must be aged 18+ to authorise age-related sales Join us as a Customer Team Leader and take the next step toward managing your own store. As a Customer Team Leader, you'll lead a small team in a fast-paced Co-op store, helping to deliver essential services to your community. Depending on your store this could involve you working in our post office or bakery or supporting online services and our home delivery drivers. Whatever the day brings, you'll play a key role in making life easier for our customers. Why this job matters: You'll keep our shelves stocked and support sales, helping us offer even more choice and exciting new services to our customers. You'll be a familiar face in the community, getting to know your customers and helping us stay connected with local and national charities. Plus, you'll be a champion for Co-op membership, helping to drive the growth of our unique business. What you'll do Own the day-to-day running of the store by leading the team on your shift Motivate, coach, and support your team to deliver great service and efficient operations Work hands-on on the shop floor and tills, supporting daily operations and setting the pace for a team of Customer Team Members Support store performance through merchandising, stock accuracy, and HR processes Champion Co-op through community engagement and membership growth What you'll bring: Passion for people and leadership The ability to work flexibly and lead by example Skills in retail, merchandising, or team management (experience not essential) Why Co-op? At Co-op, we're owned by our members. And because we're owned by you, we can do right by you. So, when you join us, you're not just taking a job, you're joining a movement. We're an organisation that puts people and communities first, and we're powered by purpose. We want this to be a place where you can thrive, so you'll also receive: Full training and career development resources 30% discount on Co-op products in store Flexible access to you pay as you earn it Up to 10% pension contributions 36 days of holiday (pro-rata, including bank holidays) 24/7 access to GP appointments, and colleague support programme Market-leading policies to help you though life's big moments A place you'll belong: We're building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We're proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we'll support you. Learn more about our recruitment process at jobs.coop.co.uk/apply-process and our inclusion commitments at jobs.coop.co.uk/diversity-inclusion As part of the application process for this job, you'll need to complete two online assessments. It will take 15- 20 minutes to complete these tests. We reserve the right to remove a vacancy before the scheduled closing date.
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.
May 11, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.
May 11, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.
Residential Conveyancer - Longfield, Kent (Hybrid Options) Competitive Salary Benefits Career Progression Award-Winning Firm A highly regarded, award-winning law firm is seeking a Residential Conveyancer to join its growing team in Longfield. This is an excellent opportunity for an experienced conveyancer or ambitious professional looking to progress within a respected practice known for exceptional client service. The Role Managing a varied caseload: freehold, leasehold, sales, purchases, remortgages and transfers of equity Delivering clear, proactive client communication throughout each transaction Supervising and mentoring junior/support staff Supporting marketing, networking and business development activities Providing cover for colleagues during absences Ensuring compliance with regulatory and risk procedures Maintaining up-to-date knowledge of conveyancing law and market trends About you Law degree, LPC, CILEx, Licensed Conveyancer-or strong experience without formal qualifications Proven residential conveyancing experience with the ability to run files independently Confident using case management systems and digital workflows Strong written and verbal communication with a client-care focus Ambitious, proactive and keen to develop professionally Collaborative and supportive team player Why Join This Firm? Award-winning conveyancing team Competitive salary and comprehensive benefits Structured training and career development opportunities Office-based role with potential hybrid working Supportive, friendly and collaborative environment Location Longfield, Kent (hybrid options available). How to Apply: Online: Apply with your updated CV via the provided link Contact: For immediate consideration, contact Robert Rowland at G2 Legal We look forward to hearing from you.
May 11, 2026
Full time
Residential Conveyancer - Longfield, Kent (Hybrid Options) Competitive Salary Benefits Career Progression Award-Winning Firm A highly regarded, award-winning law firm is seeking a Residential Conveyancer to join its growing team in Longfield. This is an excellent opportunity for an experienced conveyancer or ambitious professional looking to progress within a respected practice known for exceptional client service. The Role Managing a varied caseload: freehold, leasehold, sales, purchases, remortgages and transfers of equity Delivering clear, proactive client communication throughout each transaction Supervising and mentoring junior/support staff Supporting marketing, networking and business development activities Providing cover for colleagues during absences Ensuring compliance with regulatory and risk procedures Maintaining up-to-date knowledge of conveyancing law and market trends About you Law degree, LPC, CILEx, Licensed Conveyancer-or strong experience without formal qualifications Proven residential conveyancing experience with the ability to run files independently Confident using case management systems and digital workflows Strong written and verbal communication with a client-care focus Ambitious, proactive and keen to develop professionally Collaborative and supportive team player Why Join This Firm? Award-winning conveyancing team Competitive salary and comprehensive benefits Structured training and career development opportunities Office-based role with potential hybrid working Supportive, friendly and collaborative environment Location Longfield, Kent (hybrid options available). How to Apply: Online: Apply with your updated CV via the provided link Contact: For immediate consideration, contact Robert Rowland at G2 Legal We look forward to hearing from you.
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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.
May 11, 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. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. 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.
