Gilmartins are well established in the social housing sector and carry out reactive repairs, planned maintenance and void property refurbishment works for local authorities and housing associations. We are looking to recruit an experienced Administrator to run and to recruit / onboard subcontractors . The successful person will be: Highly organised with great time management An excellent solution finder with the ability to think on their feet whilst under pressure and be able to resolve problems quickly Excellent people skills with the ability to communicate with all levels of the business and with external suppliers Cost aware to ensure spend is managed effectively Good MS Office knowledge , in particular Excel The Role Liaising with Contract Managers regarding their subcontractor requirements and keeping them informed of progress Sourcing potential subcontractors Onboarding new subcontractors and ensuring compliance (public liability insurance, DBS checks etc) Company Benefits: Career development opportunities Employee Welfare Scheme access to a range of support and advice by telephone and a via a mobile phone app Employee Perks discount offers on a range of services and products This is a permanent full-time office-based position. Hours of work are 8am-5pm Monday to Friday OFFICE BASED ONLY
Jan 12, 2026
Full time
Gilmartins are well established in the social housing sector and carry out reactive repairs, planned maintenance and void property refurbishment works for local authorities and housing associations. We are looking to recruit an experienced Administrator to run and to recruit / onboard subcontractors . The successful person will be: Highly organised with great time management An excellent solution finder with the ability to think on their feet whilst under pressure and be able to resolve problems quickly Excellent people skills with the ability to communicate with all levels of the business and with external suppliers Cost aware to ensure spend is managed effectively Good MS Office knowledge , in particular Excel The Role Liaising with Contract Managers regarding their subcontractor requirements and keeping them informed of progress Sourcing potential subcontractors Onboarding new subcontractors and ensuring compliance (public liability insurance, DBS checks etc) Company Benefits: Career development opportunities Employee Welfare Scheme access to a range of support and advice by telephone and a via a mobile phone app Employee Perks discount offers on a range of services and products This is a permanent full-time office-based position. Hours of work are 8am-5pm Monday to Friday OFFICE BASED ONLY
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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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 Description Certifying Avionics Engineer (Rotary Wing) Role Overview This is a certifying role reporting to the Installation and Production Manager. The post holder is responsible for maintaining the safety and airworthiness of rotary-wing aircraft within the installations environment, supporting both customisation and maintenance activities. Key Responsibilities Act as a certifying engineer within the installations department, ensuring all work is completed in line with approved data and regulatory requirements. Work closely with supervisory staff to ensure projects are appropriately supported and delivered on time and within budget. Delegate tasks to team members and provide technical oversight throughout project delivery. Review, verify, and where required, certify or over-sign delegated work to ensure compliance and quality standards are met. Liaise with project management and design teams to support effective planning, execution, and delivery of installation activities. Oversee the day-to-day operation of the avionics team and hangar environment. Maintain clear and effective communication internally and externally regarding project progress and technical developments. Ensure robust health and safety practices are followed at all times, including correct use of PPE and adherence to hangar rules. Oversee the embodiment of modifications and design changes in accordance with approved data from OEMs or third-party STC holders. Work within the organisation s CAA Part 21G and Part 145 approvals, upholding regulatory, quality, and manufacturing standards. Knowledge and Skills Essential: Minimum of 5 years experience within an aviation environment. Proven experience leading or supervising technical teams. Strong knowledge of CAA Part 21G (Production), Part 145 (Maintenance), and Part 21J (Design) approvals. Ability to accurately interpret detailed wiring diagrams and associated technical documentation. Recent hands-on experience in manufacturing wiring looms, including connector termination and continuity testing. Recent experience in on- and off-aircraft soldering and crimping techniques. Familiarity with specialist test equipment used in electrical and avionics systems. Competent user of Google Workspace, SAP, and Microsoft Office applications. Education, Qualifications & Training Essential: Completion of a recognised aviation apprenticeship. Hold a UK CAA Part 66 B2 licence. Desirable: Type ratings on rotary-wing aircraft, such as: H125 (AS350) H130 H135 (EC135) H145 (BK117) Initial Human Factors training. Formal leadership or supervisory training. About You Able to work both independently and as part of a team, consistently delivering work to a high standard to ensure continued aircraft safety. Flexible, proactive, and enthusiastic, with a positive approach to challenges. Reliable and calm under pressure, with the ability to manage competing priorities. Highly organised and methodical, with strong attention to detail.
Jan 12, 2026
Full time
Job Description Certifying Avionics Engineer (Rotary Wing) Role Overview This is a certifying role reporting to the Installation and Production Manager. The post holder is responsible for maintaining the safety and airworthiness of rotary-wing aircraft within the installations environment, supporting both customisation and maintenance activities. Key Responsibilities Act as a certifying engineer within the installations department, ensuring all work is completed in line with approved data and regulatory requirements. Work closely with supervisory staff to ensure projects are appropriately supported and delivered on time and within budget. Delegate tasks to team members and provide technical oversight throughout project delivery. Review, verify, and where required, certify or over-sign delegated work to ensure compliance and quality standards are met. Liaise with project management and design teams to support effective planning, execution, and delivery of installation activities. Oversee the day-to-day operation of the avionics team and hangar environment. Maintain clear and effective communication internally and externally regarding project progress and technical developments. Ensure robust health and safety practices are followed at all times, including correct use of PPE and adherence to hangar rules. Oversee the embodiment of modifications and design changes in accordance with approved data from OEMs or third-party STC holders. Work within the organisation s CAA Part 21G and Part 145 approvals, upholding regulatory, quality, and manufacturing standards. Knowledge and Skills Essential: Minimum of 5 years experience within an aviation environment. Proven experience leading or supervising technical teams. Strong knowledge of CAA Part 21G (Production), Part 145 (Maintenance), and Part 21J (Design) approvals. Ability to accurately interpret detailed wiring diagrams and associated technical documentation. Recent hands-on experience in manufacturing wiring looms, including connector termination and continuity testing. Recent experience in on- and off-aircraft soldering and crimping techniques. Familiarity with specialist test equipment used in electrical and avionics systems. Competent user of Google Workspace, SAP, and Microsoft Office applications. Education, Qualifications & Training Essential: Completion of a recognised aviation apprenticeship. Hold a UK CAA Part 66 B2 licence. Desirable: Type ratings on rotary-wing aircraft, such as: H125 (AS350) H130 H135 (EC135) H145 (BK117) Initial Human Factors training. Formal leadership or supervisory training. About You Able to work both independently and as part of a team, consistently delivering work to a high standard to ensure continued aircraft safety. Flexible, proactive, and enthusiastic, with a positive approach to challenges. Reliable and calm under pressure, with the ability to manage competing priorities. Highly organised and methodical, with strong attention to detail.
Our client is a highly successful, award winning independent agency with offices across Kent and London. Due to continued growth, they are seeking experienced, confident and personable Property Managers to join their established teams. This is an excellent opportunity for someone looking to progress their career within a respected, reputable brand known for its strong culture, supportive environment and genuine development pathways Working hours for the Senior Property Manager Position are: 9.00am - 6.00pm Monday to Friday No Weekends Our client is offering the successful Senior Property Manager: Salary £35,000+ Regular in-house training, coaching and mentoring. Real career progression in a growing company Fantastic award winning culture and work environment As a Senior Property Manager your role will involve: Facilitating Maintenance from the initial enquiry through to invoicing. Help guide and support junior members of the team. Handle complex tenancy issues, including disputes, escalations, and legal matters. Reviewing and providing recommendations on third party Property Visits. Managing all compliance certification post move in. End of tenancies including serving of all legal notices, attending court hearings, evictions and negotiating the return of the deposit. Ensure all properties meet legal compliance requirements (EPC, gas safety, EICR, smoke/CO alarms, etc.) Providing high levels of customer service liaising with tenants, landlords, contractors and colleagues alike. To be considered for the Senior Property Manager role you must have: Previous Property Manager experience is essential A personable and enthusiastic attitude A high level of customer service is essential Strong knowledge of Property Management.
Jan 12, 2026
Full time
Our client is a highly successful, award winning independent agency with offices across Kent and London. Due to continued growth, they are seeking experienced, confident and personable Property Managers to join their established teams. This is an excellent opportunity for someone looking to progress their career within a respected, reputable brand known for its strong culture, supportive environment and genuine development pathways Working hours for the Senior Property Manager Position are: 9.00am - 6.00pm Monday to Friday No Weekends Our client is offering the successful Senior Property Manager: Salary £35,000+ Regular in-house training, coaching and mentoring. Real career progression in a growing company Fantastic award winning culture and work environment As a Senior Property Manager your role will involve: Facilitating Maintenance from the initial enquiry through to invoicing. Help guide and support junior members of the team. Handle complex tenancy issues, including disputes, escalations, and legal matters. Reviewing and providing recommendations on third party Property Visits. Managing all compliance certification post move in. End of tenancies including serving of all legal notices, attending court hearings, evictions and negotiating the return of the deposit. Ensure all properties meet legal compliance requirements (EPC, gas safety, EICR, smoke/CO alarms, etc.) Providing high levels of customer service liaising with tenants, landlords, contractors and colleagues alike. To be considered for the Senior Property Manager role you must have: Previous Property Manager experience is essential A personable and enthusiastic attitude A high level of customer service is essential Strong knowledge of Property Management.
Job Title : Hard Facilities Manager Bristol (Permanent) Reference: 476 Summary of the Hard Facilities Manager role: Our client is seeking an experienced Hard Facilities Manager to lead the maintenance, compliance, and operational performance of all building and engineering infrastructure across a 2,500-acre estate click apply for full job details
Jan 12, 2026
Full time
Job Title : Hard Facilities Manager Bristol (Permanent) Reference: 476 Summary of the Hard Facilities Manager role: Our client is seeking an experienced Hard Facilities Manager to lead the maintenance, compliance, and operational performance of all building and engineering infrastructure across a 2,500-acre estate click apply for full job details
Mechanical Site Manager - Kettering Your new company A well-established building services provider with over four decades of experience is seeking a Mechanical Site Manager to join their growing team in Kettering. The company delivers full mechanical and electrical services across a wide range of sectors including industrial, logistics, food, pharmaceutical, data centres, healthcare, commercial, hospitality, residential, public, and energy.With a strong reputation for quality and reliability, the business operates across Ireland, the UK, and mainland Europe, and has been recognised for excellence in management and service delivery. Your new role As a Mechanical Site Manager based in Kettering, you will report to the Project/Contracts Manager and take responsibility for overseeing the installation, commissioning, and maintenance of mechanical building services. You'll coordinate daily with suppliers, subcontractors, and internal teams to ensure smooth site operations and compliance with safety and quality standards.Key duties include: Managing site labour and subcontractors Ensuring EHSQ compliance and documentation Ordering materials and managing plant/tool hire Liaising with main contractors and client site teams Maintaining progress reports and project documentation Supporting project scheduling and quality monitoring What you'll need to succeed To be successful in this role, you'll need: A relevant trade qualification or further education in mechanical building services At least 5 years' experience in a Mechanical Supervisor/Manager role Strong people management and project coordination skills Good IT proficiency and communication abilities Flexibility to travel if required What you'll get in return You'll be joining a respected contractor with a strong pipeline of work and a reputation for delivering high-quality projects. In return, you'll benefit from: A competitive salary and benefits package Opportunities for career progression across UK and European projects Supportive team environment with a focus on safety and quality Exposure to high-profile, multi-sector developments What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
Jan 12, 2026
Full time
Mechanical Site Manager - Kettering Your new company A well-established building services provider with over four decades of experience is seeking a Mechanical Site Manager to join their growing team in Kettering. The company delivers full mechanical and electrical services across a wide range of sectors including industrial, logistics, food, pharmaceutical, data centres, healthcare, commercial, hospitality, residential, public, and energy.With a strong reputation for quality and reliability, the business operates across Ireland, the UK, and mainland Europe, and has been recognised for excellence in management and service delivery. Your new role As a Mechanical Site Manager based in Kettering, you will report to the Project/Contracts Manager and take responsibility for overseeing the installation, commissioning, and maintenance of mechanical building services. You'll coordinate daily with suppliers, subcontractors, and internal teams to ensure smooth site operations and compliance with safety and quality standards.Key duties include: Managing site labour and subcontractors Ensuring EHSQ compliance and documentation Ordering materials and managing plant/tool hire Liaising with main contractors and client site teams Maintaining progress reports and project documentation Supporting project scheduling and quality monitoring What you'll need to succeed To be successful in this role, you'll need: A relevant trade qualification or further education in mechanical building services At least 5 years' experience in a Mechanical Supervisor/Manager role Strong people management and project coordination skills Good IT proficiency and communication abilities Flexibility to travel if required What you'll get in return You'll be joining a respected contractor with a strong pipeline of work and a reputation for delivering high-quality projects. In return, you'll benefit from: A competitive salary and benefits package Opportunities for career progression across UK and European projects Supportive team environment with a focus on safety and quality Exposure to high-profile, multi-sector developments What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. #
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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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.
Sewing Machinist 12.21ph, NN17 1QE, 4 DAY WORKING WEEK Mon-Thurs 7.00am 5.00pm, Immediate Start, Temporary Due to continued success and expansion plans, a head office location of a global renowned clothing brand has an exciting opportunity for an experienced Sewing Machinist to join them. You will be providing support to the Production Manager, and be a key member of the Production Team: Interpreting garment pattern Operating both Over locker and Flatbed sewing machines Ensuring quality standards are met on all products Working to daily production targets as a team Day to day general maintenance on machines, raising awareness of any machinery or material issue We would expect the successful Sewing Machinist to be able to demonstrate a good working knowledge of Over locker and Flatbed machines, have an excellent eye for detail, and be able to work well to targets. You will be supported 1 to 1 to become familiar with the company processes and procedures. This would be an ideal role for you if you have worked within a Machinist, Seamstress or Tailor position. You will be joining the Corby Head Office of a Global Brand that has been established for over 40 years and has an enviable reputation in their field. Working directly with Production Manager & Production Team, this role offers job satisfaction on a daily basis. The organisation name is synonymous with delivering outstanding quality products, and they are keen to recruit a Sewing Machinist who strives to offer the same. 4 day working week Monday -Thursday Immediate start Friendly team environment 2-week shutdown at Christmas Please contact Manish to discuss this role further on (phone number removed) or click apply to forward to your up-to-date CV Travail Employment Group Ltd is acting as an Employment Business in relation to this vacancy.
Jan 12, 2026
Seasonal
Sewing Machinist 12.21ph, NN17 1QE, 4 DAY WORKING WEEK Mon-Thurs 7.00am 5.00pm, Immediate Start, Temporary Due to continued success and expansion plans, a head office location of a global renowned clothing brand has an exciting opportunity for an experienced Sewing Machinist to join them. You will be providing support to the Production Manager, and be a key member of the Production Team: Interpreting garment pattern Operating both Over locker and Flatbed sewing machines Ensuring quality standards are met on all products Working to daily production targets as a team Day to day general maintenance on machines, raising awareness of any machinery or material issue We would expect the successful Sewing Machinist to be able to demonstrate a good working knowledge of Over locker and Flatbed machines, have an excellent eye for detail, and be able to work well to targets. You will be supported 1 to 1 to become familiar with the company processes and procedures. This would be an ideal role for you if you have worked within a Machinist, Seamstress or Tailor position. You will be joining the Corby Head Office of a Global Brand that has been established for over 40 years and has an enviable reputation in their field. Working directly with Production Manager & Production Team, this role offers job satisfaction on a daily basis. The organisation name is synonymous with delivering outstanding quality products, and they are keen to recruit a Sewing Machinist who strives to offer the same. 4 day working week Monday -Thursday Immediate start Friendly team environment 2-week shutdown at Christmas Please contact Manish to discuss this role further on (phone number removed) or click apply to forward to your up-to-date CV Travail Employment Group Ltd is acting as an Employment Business in relation to this vacancy.
Planet Recruitment are looking for maintenance / facilities technicians to join our client based in Oxford in temporary to permanent position. Under the direction of the Deputy Building Manager, you will be expected to take a leading role in routine maintenance on the building fabric, equipment and plant that is not covered by University Estates Services. You will also be responsible for assisting in the daily operation of core services such as the autoclave and goods-in area. In the absence of the personnel primarily responsible for these areas you will be expected to be able to run these services for short periods of time Key duties Assist Deputy Building & Facilities Manager in the allocation of repairs and maintenance tasks to the facilities team or by using external contractors. Undertake routine reactive and planned maintenance in the building as required (plumbing, painting, decorating, fixtures and fittings). Undertake inspections and provide reports to the Deputy Building & Facilities Manager in the form of short documents or verbally on the condition of areas within the building such as; review of kitchen areas, shared meeting rooms, condition of fire doors, glass washing facilities, performance of lavatories, communal lighting around the building, general decoration etc. Be able to read the building fire panel, isolating areas or detectors in case of Hot Works Permit and in the case of an alarm advise both security and the Fire & Rescue Service, if necessary Basic repairs and maintenance experience required. Experience in a similar role advantageous. You will also be expected to be actively involved in the on-call rota with the Building & Facilities Manager and the Deputy Building & Facilities Manager. Apply online for more information call (phone number removed) and ask for Kris or Aaron INDCON Planet Recruitment is acting as an Employment Business in relation to this vacancy.
Jan 12, 2026
Contractor
Planet Recruitment are looking for maintenance / facilities technicians to join our client based in Oxford in temporary to permanent position. Under the direction of the Deputy Building Manager, you will be expected to take a leading role in routine maintenance on the building fabric, equipment and plant that is not covered by University Estates Services. You will also be responsible for assisting in the daily operation of core services such as the autoclave and goods-in area. In the absence of the personnel primarily responsible for these areas you will be expected to be able to run these services for short periods of time Key duties Assist Deputy Building & Facilities Manager in the allocation of repairs and maintenance tasks to the facilities team or by using external contractors. Undertake routine reactive and planned maintenance in the building as required (plumbing, painting, decorating, fixtures and fittings). Undertake inspections and provide reports to the Deputy Building & Facilities Manager in the form of short documents or verbally on the condition of areas within the building such as; review of kitchen areas, shared meeting rooms, condition of fire doors, glass washing facilities, performance of lavatories, communal lighting around the building, general decoration etc. Be able to read the building fire panel, isolating areas or detectors in case of Hot Works Permit and in the case of an alarm advise both security and the Fire & Rescue Service, if necessary Basic repairs and maintenance experience required. Experience in a similar role advantageous. You will also be expected to be actively involved in the on-call rota with the Building & Facilities Manager and the Deputy Building & Facilities Manager. Apply online for more information call (phone number removed) and ask for Kris or Aaron INDCON Planet Recruitment is acting as an Employment Business in relation to this vacancy.
Get Staffed Online Recruitment Limited
Washington, Tyne And Wear
Production Manager Washington £35,000 - £50,000 per annum About Our Client Our client is a leading luxury furniture design and manufacturing company dedicated to crafting high-end furniture from their product range, custom versions as well as architectural metalwork for discerning clientele. Their commitment to exceptional quality, innovative design, and meticulous attention to detail is at the core of everything they do. They are seeking a highly skilled and motivated Production Manager to lead their manufacturing operations and ensure their products meet the highest standards of luxury and craftsmanship. Job Summary The Production Manager will be responsible for overseeing all aspects of the manufacturing process, from raw material intake to final product delivery. This role requires a strong leader who can manage a diverse team, optimise production schedules, maintain quality control, and drive continuous improvement initiatives in a fast-paced, high-end production environment. Key Responsibilities Production Oversight Ensure work is delivered on schedule and to the required quality standards. Manage the day-to-day operations of the production floor, ensuring all manufacturing processes run smoothly and efficiently. Develop and implement production schedules, labour plans, and resource allocation strategies to meet demand and delivery deadlines. Monitor production output against targets, identifying and resolving bottlenecks or issues. Quality and Craftsmanship Maintain and enforce the highest quality control standards to ensure all finished furniture pieces adhere to the luxury brand specifications. Collaborate with the Design, workshop and Quality Assurance team to continuously improve product quality and manufacturing techniques. Oversee the maintenance and calibration of all manufacturing equipment. Team Leadership and Management Lead, mentor, and manage a team of skilled craftspeople, and production staff. Conduct performance reviews, provide training, and foster a positive, safety-conscious, and productive work environment. Ensure compliance with all safety regulations and company policies. Hire and fire as appropriate under the guidance of the Directors. Supply Chain and Inventory Work closely with the Procurement team to ensure timely availability of high-quality raw materials. Oversee inventory management of materials and finished goods, minimising waste and optimising storage. Continuous Improvement Implement lean manufacturing principles and best practices to optimise efficiency, reduce costs, and improve workflow. Work with the directors and team to implement the ISO9001 quality management system. Analyse production data and metrics to identify opportunities for process and performance improvement. Qualifications Required Proven experience as a Production Manager or similar role in a high-quality manufacturing environment, preferably in luxury goods or custom furniture. Strong knowledge of furniture manufacturing processes, materials, and machinery. Excellent leadership, communication, and interpersonal skills. Proficiency in production planning and inventory management software. Preferred Bachelor's degree in Engineering, Business Administration, or a related field. Experience in working with ISO 9001. Certification in Lean Manufacturing or Six Sigma. Benefits Competitive salary and performance-based bonus structure. BUPA Health Care after 2 years of service. Opportunity to work with world-class craftspeople and materials at their manufacturing facility in Washington. Application Process Interested candidates are invited to submit their CV.
Jan 12, 2026
Full time
Production Manager Washington £35,000 - £50,000 per annum About Our Client Our client is a leading luxury furniture design and manufacturing company dedicated to crafting high-end furniture from their product range, custom versions as well as architectural metalwork for discerning clientele. Their commitment to exceptional quality, innovative design, and meticulous attention to detail is at the core of everything they do. They are seeking a highly skilled and motivated Production Manager to lead their manufacturing operations and ensure their products meet the highest standards of luxury and craftsmanship. Job Summary The Production Manager will be responsible for overseeing all aspects of the manufacturing process, from raw material intake to final product delivery. This role requires a strong leader who can manage a diverse team, optimise production schedules, maintain quality control, and drive continuous improvement initiatives in a fast-paced, high-end production environment. Key Responsibilities Production Oversight Ensure work is delivered on schedule and to the required quality standards. Manage the day-to-day operations of the production floor, ensuring all manufacturing processes run smoothly and efficiently. Develop and implement production schedules, labour plans, and resource allocation strategies to meet demand and delivery deadlines. Monitor production output against targets, identifying and resolving bottlenecks or issues. Quality and Craftsmanship Maintain and enforce the highest quality control standards to ensure all finished furniture pieces adhere to the luxury brand specifications. Collaborate with the Design, workshop and Quality Assurance team to continuously improve product quality and manufacturing techniques. Oversee the maintenance and calibration of all manufacturing equipment. Team Leadership and Management Lead, mentor, and manage a team of skilled craftspeople, and production staff. Conduct performance reviews, provide training, and foster a positive, safety-conscious, and productive work environment. Ensure compliance with all safety regulations and company policies. Hire and fire as appropriate under the guidance of the Directors. Supply Chain and Inventory Work closely with the Procurement team to ensure timely availability of high-quality raw materials. Oversee inventory management of materials and finished goods, minimising waste and optimising storage. Continuous Improvement Implement lean manufacturing principles and best practices to optimise efficiency, reduce costs, and improve workflow. Work with the directors and team to implement the ISO9001 quality management system. Analyse production data and metrics to identify opportunities for process and performance improvement. Qualifications Required Proven experience as a Production Manager or similar role in a high-quality manufacturing environment, preferably in luxury goods or custom furniture. Strong knowledge of furniture manufacturing processes, materials, and machinery. Excellent leadership, communication, and interpersonal skills. Proficiency in production planning and inventory management software. Preferred Bachelor's degree in Engineering, Business Administration, or a related field. Experience in working with ISO 9001. Certification in Lean Manufacturing or Six Sigma. Benefits Competitive salary and performance-based bonus structure. BUPA Health Care after 2 years of service. Opportunity to work with world-class craftspeople and materials at their manufacturing facility in Washington. Application Process Interested candidates are invited to submit their CV.
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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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.
An established environmental college in the UK is seeking an Area Facilities Manager to oversee estate and facility management across multiple campuses. The role requires managing security, health and safety, as well as maintenance operations. Ideal candidates will have experience in facilities management and excellent interpersonal skills. Strong knowledge of health and safety legislation and maintenance practices is essential. This role also offers attractive staff benefits including generous leave and pension access.
Jan 12, 2026
Full time
An established environmental college in the UK is seeking an Area Facilities Manager to oversee estate and facility management across multiple campuses. The role requires managing security, health and safety, as well as maintenance operations. Ideal candidates will have experience in facilities management and excellent interpersonal skills. Strong knowledge of health and safety legislation and maintenance practices is essential. This role also offers attractive staff benefits including generous leave and pension access.
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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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.
Transport Planner Canterbury £30k - £32k PM Shift About the Role We are looking for a motivated and organised Transport Planner to join our busy Transport Department. This is an excellent opportunity to become a key part of a well-established business, helping ensure that our deliveries are completed on time, in full, and to the highest standards. Key Responsibilities Schedule and plan all customer deliveries across multiple locations. Optimise routes to maximise efficiency while ensuring compliance with transport regulations. Monitor driver availability, working hours, and vehicle capacity. Coordinate collections, returns, and work with external hauliers. Maintain full compliance with driver hours, working time regulations, and Goods Vehicle Operator standards. Manage Proof of Delivery (POD) documentation and resolve delivery issues promptly. Oversee vehicle inspections, defect reporting, and maintenance schedules. Respond to transport enquiries from customers and internal teams in a professional manner. Support the Transport Manager with daily operational and administrative duties. Promote a culture of safety, teamwork, and continuous improvement. Requirements Previous experience in transport planning. Strong understanding of driver hours, working time regulations, and transport compliance requirements. Excellent organisational, problem-solving, and attention-to-detail skills. Confident IT user; experience with Transport Management Systems (TMS) is advantageous. Proficiency in Microsoft Office (Excel, Word, Outlook). Proactive, hands-on approach with a focus on operational excellence. Clear and professional communication skills in English, both written and spoken. Apply Today If you are an organised and driven transport professional ready to take the next step in your career, we would love to hear from you. Join a team where your skills and dedication make a real impact. This role is being handled by Sam Hasler, Transport, Logistics & Distribution Specialist at Pearson Whiffin Recruitment Not quite the right role but still looking? Whether you are entry or Executive level, our team of experienced Recruitment specialists can help you with your career. We are Kent s leading independent consultancy and pride ourselves on delivering an exceptional service to both candidates and clients. Find us on and
Jan 12, 2026
Full time
Transport Planner Canterbury £30k - £32k PM Shift About the Role We are looking for a motivated and organised Transport Planner to join our busy Transport Department. This is an excellent opportunity to become a key part of a well-established business, helping ensure that our deliveries are completed on time, in full, and to the highest standards. Key Responsibilities Schedule and plan all customer deliveries across multiple locations. Optimise routes to maximise efficiency while ensuring compliance with transport regulations. Monitor driver availability, working hours, and vehicle capacity. Coordinate collections, returns, and work with external hauliers. Maintain full compliance with driver hours, working time regulations, and Goods Vehicle Operator standards. Manage Proof of Delivery (POD) documentation and resolve delivery issues promptly. Oversee vehicle inspections, defect reporting, and maintenance schedules. Respond to transport enquiries from customers and internal teams in a professional manner. Support the Transport Manager with daily operational and administrative duties. Promote a culture of safety, teamwork, and continuous improvement. Requirements Previous experience in transport planning. Strong understanding of driver hours, working time regulations, and transport compliance requirements. Excellent organisational, problem-solving, and attention-to-detail skills. Confident IT user; experience with Transport Management Systems (TMS) is advantageous. Proficiency in Microsoft Office (Excel, Word, Outlook). Proactive, hands-on approach with a focus on operational excellence. Clear and professional communication skills in English, both written and spoken. Apply Today If you are an organised and driven transport professional ready to take the next step in your career, we would love to hear from you. Join a team where your skills and dedication make a real impact. This role is being handled by Sam Hasler, Transport, Logistics & Distribution Specialist at Pearson Whiffin Recruitment Not quite the right role but still looking? Whether you are entry or Executive level, our team of experienced Recruitment specialists can help you with your career. We are Kent s leading independent consultancy and pride ourselves on delivering an exceptional service to both candidates and clients. Find us on and
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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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.
Oxford University Hospitals NHS Foundation Trust
Oxford, Oxfordshire
Data and Admin Manager - Intestinal Failure NHS AfC: Band 5 Main area Administration Grade NHS AfC: Band 5 Contract Permanent Hours Part time - 25 hours per week Job ref 321-SW B5-EXT Site John Radcliffe Hospitals Town Oxford Salary £31,049 - £37,796 Per annum Pro rata Salary period Yearly Closing 20/01/:59 Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises of four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call thisDelivering Compassionate Excellenceand its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. Many of our recruitment programmes useValue Based Interviewingto identify those who have the skills we seek, who share our values and who are able to deliver compassionate excellence from the outset. We know that this makes a significant difference to your job satisfaction and above all the outcomes and experience of our patients and their families. For more information about our Values and Value Based Interviewing please visit Job overview The Data and Admin Manager will organise the management and treatment for patients with Intestinal Failure in England, the NHS has divided the country into a number of regions. Oxford University Hospitals NHS Foundation Trust (OUH) was awarded the tender to provide care for these patients across the Buckinghamshire, Oxfordshire and Berkshire region (BOB). A key component of this post includes the collection of data across the region and the delivery of data to NHS England. The post holder must be IT literate, and an excellent communicator and team player. Main duties of the job The post holder will lead on development and coordination of the IT aspects of the service and associated projects. The role involves high levels of interaction with all members of the Multidisciplinary Team (MDT) to understand user requirements and specification, including improvements to standard requirements, and providing adaptive solutions to the needs of specific studies. The post holder will be responsible for ensuring that the data systems meets information governance and data security requirements, and that confidentiality of our volunteers is maintained. Working for our organisation Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via the OUH YouTube channel . In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to the ten core principles Oxford University Hospital's promotes a safe, respectful hiring environment. If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism. Detailed job description and main responsibilities General Administrative Duties Coordinate various local and regional meetings. Compiling agendas and papers, and taking formal notes for circulation Provide a high standard of general administrative support to the team, ensuring that tasks are carried out in a timely manner. Data and Performance Management Take a lead role in the clinical data management of the service. Manage access control and security of the database(s) Maintain and tailor databases and their associated application tools according to the needs of the team Optimise the coordination of all data management and processing activities and to provide updates and training to the team where necessary. Implementing dataset reporting arrangements for all partners Produce data summaries and custom data exports at the request of the leads. General Report incidents using the Trust Incident reporting system and support the investigation, review and learning from incidents. Investigate and co-ordinate responses to informal and formal patient complaints. Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Person specification MS office skills, powerpoint Minute taking High standard of spoken and written English Evidence of positive approach to working in complex environments Working with databases Capable of working with minimal supervision NHS Experience Working with databases Working under pressure COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of course our patients from the virus when working in our healthcare settings. Whilst COVID-19 vaccination is not a condition of employment , we do encourage our staff to get vaccinated. If you are unvaccinated there is helpful advice and information at Oxfordshire County Council Website where you can also find out more about how to access vaccination. Vacancy Closures: Please note, this vacancy may close early if a high volume of applications are received. Probation Period: This post is subject to a 6 month probationary period. If you currently hold a contract of employment with the Oxford University Hospitals, this will not apply. This statement does not apply to Medical staff or Executive Appointments. Referencing: When providing employment reference details please provide correct work related email addresses so references can be sought promptly when we are looking to progress your application. Your first referee will need to be your line manager, supervisor or clinical lead from your current or most recent post or place of study. Please note that if you have previously worked for the Trust we will require a reference from your last Manager, this information is essential if your offer of employment is to be confirmed. Next Steps: Please make sure that you read the job description and person specification, and that your supporting statement reflects this as your application will be judged against these criteria. Candidates selected for interview will be contacted after the short-listing process, usually within 2 weeks. (Please note that shortlisting times vary when applying for a Medical position within the Trust). The majority of correspondence will be via the e-recruitment system; therefore you should check your emails regularly including junk mail folders in web-based email products. No unsolicited recruitment agency telephone calls or emails. Employer certification / accreditation badges You must have appropriate UK professional registration. Application numbers Please note that this job advertisement will close automatically once the application limit is reached, regardless of whether this occurs before the advertised closing date. Name Emily Dallimore Job title Assistant Service Manager Gastroenterology Email address Additional information Abbie Glover Service manager for Gastroenterology & Hepatology Band 5 Nurse and Band 2 Healthcare Support Worker recruitment is centralised, meaning when you apply you will be considered for a number of roles across the Trust. If you have any questions please email: . Vacancies with our PFI partners Domestic / catering / portering services at theJohn Radcliffe Hospital are provided byMitie. Domestic / catering / portering / maintenance engineer services at theChurchill Hospital andNuffield Orthopaedic Centre are provided byG4S. Maintenance engineer services at the John Radcliffe Hospital are provided by Equans. Fraudulent recruiters have been using social media platforms to dupe potential job seekers into divulging personal and financial information. Sophisticated frauds, involving grooming of targeted individuals, shows the fake recruiter asking the unsuspecting job seeker to take part in a fake job interview, either over the phone or via WhatsApp, and also sending fraudulent follow-up correspondence offering job positions. . click apply for full job details
Jan 12, 2026
Full time
Data and Admin Manager - Intestinal Failure NHS AfC: Band 5 Main area Administration Grade NHS AfC: Band 5 Contract Permanent Hours Part time - 25 hours per week Job ref 321-SW B5-EXT Site John Radcliffe Hospitals Town Oxford Salary £31,049 - £37,796 Per annum Pro rata Salary period Yearly Closing 20/01/:59 Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises of four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call thisDelivering Compassionate Excellenceand its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. Many of our recruitment programmes useValue Based Interviewingto identify those who have the skills we seek, who share our values and who are able to deliver compassionate excellence from the outset. We know that this makes a significant difference to your job satisfaction and above all the outcomes and experience of our patients and their families. For more information about our Values and Value Based Interviewing please visit Job overview The Data and Admin Manager will organise the management and treatment for patients with Intestinal Failure in England, the NHS has divided the country into a number of regions. Oxford University Hospitals NHS Foundation Trust (OUH) was awarded the tender to provide care for these patients across the Buckinghamshire, Oxfordshire and Berkshire region (BOB). A key component of this post includes the collection of data across the region and the delivery of data to NHS England. The post holder must be IT literate, and an excellent communicator and team player. Main duties of the job The post holder will lead on development and coordination of the IT aspects of the service and associated projects. The role involves high levels of interaction with all members of the Multidisciplinary Team (MDT) to understand user requirements and specification, including improvements to standard requirements, and providing adaptive solutions to the needs of specific studies. The post holder will be responsible for ensuring that the data systems meets information governance and data security requirements, and that confidentiality of our volunteers is maintained. Working for our organisation Oxford University Hospitals NHS Foundation Trust is one of the largest NHS teaching trusts in the country. It provides a wide range of general and specialist clinical services and is a base for medical education, training and research. The Trust comprises four hospitals - the John Radcliffe Hospital, Churchill Hospital and Nuffield Orthopaedic Centre in Headington and the Horton General Hospital in Banbury. Our values, standards and behaviours define the quality of clinical care we offer and the professional relationships we make with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. These values put patients at the heart of what we do and underpin the quality healthcare we would like for ourselves or a member of our family. Watch how we set out to deliver compassionate excellence via the OUH YouTube channel . In 2023 NHS England launched its first sexual safety charter, and our Trust proudly signed it. We pledge zero tolerance for inappropriate sexual behaviour and commit to the ten core principles Oxford University Hospital's promotes a safe, respectful hiring environment. If you want to make a difference with us, come and join our team. Together, we will uphold the highest standards of care and professionalism. Detailed job description and main responsibilities General Administrative Duties Coordinate various local and regional meetings. Compiling agendas and papers, and taking formal notes for circulation Provide a high standard of general administrative support to the team, ensuring that tasks are carried out in a timely manner. Data and Performance Management Take a lead role in the clinical data management of the service. Manage access control and security of the database(s) Maintain and tailor databases and their associated application tools according to the needs of the team Optimise the coordination of all data management and processing activities and to provide updates and training to the team where necessary. Implementing dataset reporting arrangements for all partners Produce data summaries and custom data exports at the request of the leads. General Report incidents using the Trust Incident reporting system and support the investigation, review and learning from incidents. Investigate and co-ordinate responses to informal and formal patient complaints. Job descriptions cannot be exhaustive and the post holder may be required to undertake other duties, which are broadly in line with the above key responsibilities. Person specification MS office skills, powerpoint Minute taking High standard of spoken and written English Evidence of positive approach to working in complex environments Working with databases Capable of working with minimal supervision NHS Experience Working with databases Working under pressure COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of course our patients from the virus when working in our healthcare settings. Whilst COVID-19 vaccination is not a condition of employment , we do encourage our staff to get vaccinated. If you are unvaccinated there is helpful advice and information at Oxfordshire County Council Website where you can also find out more about how to access vaccination. Vacancy Closures: Please note, this vacancy may close early if a high volume of applications are received. Probation Period: This post is subject to a 6 month probationary period. If you currently hold a contract of employment with the Oxford University Hospitals, this will not apply. This statement does not apply to Medical staff or Executive Appointments. Referencing: When providing employment reference details please provide correct work related email addresses so references can be sought promptly when we are looking to progress your application. Your first referee will need to be your line manager, supervisor or clinical lead from your current or most recent post or place of study. Please note that if you have previously worked for the Trust we will require a reference from your last Manager, this information is essential if your offer of employment is to be confirmed. Next Steps: Please make sure that you read the job description and person specification, and that your supporting statement reflects this as your application will be judged against these criteria. Candidates selected for interview will be contacted after the short-listing process, usually within 2 weeks. (Please note that shortlisting times vary when applying for a Medical position within the Trust). The majority of correspondence will be via the e-recruitment system; therefore you should check your emails regularly including junk mail folders in web-based email products. No unsolicited recruitment agency telephone calls or emails. Employer certification / accreditation badges You must have appropriate UK professional registration. Application numbers Please note that this job advertisement will close automatically once the application limit is reached, regardless of whether this occurs before the advertised closing date. Name Emily Dallimore Job title Assistant Service Manager Gastroenterology Email address Additional information Abbie Glover Service manager for Gastroenterology & Hepatology Band 5 Nurse and Band 2 Healthcare Support Worker recruitment is centralised, meaning when you apply you will be considered for a number of roles across the Trust. If you have any questions please email: . Vacancies with our PFI partners Domestic / catering / portering services at theJohn Radcliffe Hospital are provided byMitie. Domestic / catering / portering / maintenance engineer services at theChurchill Hospital andNuffield Orthopaedic Centre are provided byG4S. Maintenance engineer services at the John Radcliffe Hospital are provided by Equans. Fraudulent recruiters have been using social media platforms to dupe potential job seekers into divulging personal and financial information. Sophisticated frauds, involving grooming of targeted individuals, shows the fake recruiter asking the unsuspecting job seeker to take part in a fake job interview, either over the phone or via WhatsApp, and also sending fraudulent follow-up correspondence offering job positions. . click apply for full job details
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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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 Lead 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: Lead the 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. Advanced 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.
Jan 12, 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 Lead 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: Lead the 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. Advanced 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.
