We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Summary £15.45 - £15.95 per hour 30 hour contract Various shifts 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. We're reliable, organised and ready to go far. Just like you. As a Retail Shift Manager at Lidl, you'll help us maintain our high standards day after day. From motivating your team to taking responsibility for the shop floor, you'll keep our store running like clockwork, thriving in a fast-paced and challenging environment. You'll also reap the rewards of your hard work, enjoying the responsibility to prove yourself as a leader and find your footing for future success. In return, we'll give you a competitive hourly pay rate based on equal opportunity and pay structures, plus an extra £2.00 per hour for work during bank holidays and £3.50 per hour for night shifts, as well as a generous benefits package designed to support your well-being and life outside of Lidl. We're proud to be supportive teams with big ambitions too, so there'll be plenty of ways for you to progress. With the right training, we'll help you thrive in your role and champion you to succeed in your career here. What you'll do Motivate and support your team, learning from our Leadership and Company Principles Swiftly solve problems and delegate tasks Create an environment where your colleagues can succeed alongside you Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store What you'll need Experience leading a team to achieve targets in a bustling, fast-paced environment The ability to effectively delegate tasks and motivate your team Patience and a friendly manner with the ability to keep calm in any situation Passion to thrive as a key part of the Store Team A proactive and encouraging approach to help your colleagues develop themselves and store operations What you'll receive 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Pension scheme Long service awards Plus, more of the perks you deserve Thinking of using AI to help with your application? AI tools (e.g. Chat GTP, Gemini) can help you get started and prepared for your interview but remember that our team can easily spot AI-generated responses. The applications that stand out most are the ones that feel genuine and reflect your unique self. We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment. If you're ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. Please note your employment is conditional upon the Company's receipt of satisfactory references and if requested by the Company, a satisfactory Disclosure and Barring Service check.
Mar 18, 2026
Full time
Summary £15.45 - £15.95 per hour 30 hour contract Various shifts 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. We're reliable, organised and ready to go far. Just like you. As a Retail Shift Manager at Lidl, you'll help us maintain our high standards day after day. From motivating your team to taking responsibility for the shop floor, you'll keep our store running like clockwork, thriving in a fast-paced and challenging environment. You'll also reap the rewards of your hard work, enjoying the responsibility to prove yourself as a leader and find your footing for future success. In return, we'll give you a competitive hourly pay rate based on equal opportunity and pay structures, plus an extra £2.00 per hour for work during bank holidays and £3.50 per hour for night shifts, as well as a generous benefits package designed to support your well-being and life outside of Lidl. We're proud to be supportive teams with big ambitions too, so there'll be plenty of ways for you to progress. With the right training, we'll help you thrive in your role and champion you to succeed in your career here. What you'll do Motivate and support your team, learning from our Leadership and Company Principles Swiftly solve problems and delegate tasks Create an environment where your colleagues can succeed alongside you Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store What you'll need Experience leading a team to achieve targets in a bustling, fast-paced environment The ability to effectively delegate tasks and motivate your team Patience and a friendly manner with the ability to keep calm in any situation Passion to thrive as a key part of the Store Team A proactive and encouraging approach to help your colleagues develop themselves and store operations What you'll receive 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Pension scheme Long service awards Plus, more of the perks you deserve Thinking of using AI to help with your application? AI tools (e.g. Chat GTP, Gemini) can help you get started and prepared for your interview but remember that our team can easily spot AI-generated responses. The applications that stand out most are the ones that feel genuine and reflect your unique self. We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment. If you're ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. Please note your employment is conditional upon the Company's receipt of satisfactory references and if requested by the Company, a satisfactory Disclosure and Barring Service check.
Director Museum of Freemasonry Background Museum of Freemasonry exists to help people learn about freemasonry in all its social and cultural richness. Through openness, dialogue, many voices and multiple perspectives, we illuminate the history and origins of freemasonry, explore its history, values and spirit, and reveal what it has meant for individuals and society through the ages. We thereby help people gain insight into freemasonry and freemasons past and present. Our vision is to become a world-class museum, library and archive. Our current strategic aims are as follows: Public offer: To create an excellent, relevant, accessible visitor attraction and research environment Communications: To increase awareness, reposition the museum, attract audiences and build long-term relationships Collections: To develop, care for and build knowledge of our collections Our people: To nurture and develop our people, expanding the skills in our team About the Museum of Freemasonry The Museum's origins go back to 1838, when the United Grand Lodge of England, the governing body of English freemasonry, allocated a sum of £100 for collecting books, manuscripts and objects of masonic interest, and for commencing the formation of a library and museum. These were housed in the Masonic Hall on Great Queen Street in London. After the First World War () it was decided to build a new masonic hall on the site. The Masonic Peace Memorial opened in 1933 and included a purpose-built museum, library and reading room. Initially just for members, the museum began opening to the general public from the 1980s onwards. In 1996, the Library and Museum Charitable Trust (LMCT) renamed Museum of Freemasonry (MoF) was established as an independent charity. Today, we are a fully Accredited museum, and we welcome visitors from across the world to begin or further their exploration of freemasonry. Like most museums only a fraction of our collection is on display. We look after an extraordinary array of artefacts, many almost 300 years old. These include items as diverse as songbooks, ceremonial regalia and snuffboxes handmade by Napoleonic prisoners of war. Together, our Museum, Library and Archives collections have been awarded Designated Outstanding status. In total we have approximately 30,000 objects related to freemasonry and other fraternal societies, and we're still collecting. The Library contains nearly 60,000 items, including books, pamphlets and manuscripts related to freemasonry and esoteric traditions globally. Our Archives contain over 3.5 linear kilometres of documents, drawings, private papers, photographs and audio-visual material, plus digital assets. The collection includes the records of the United Grand Lodge of England, the Supreme Grand Chapter and various freemasonry charities. It also includes archives relating to individual freemasons, lodges and chapters. The Museum is open to everyone free of charge, Tuesday to Friday. Researchers can view museum collection material in storage by appointment, and anyone is welcome to register as a reader to access material in the Library and Archives collections. The Museum of Freemasonry is an equal opportunities employer. Purpose of the Job: The Director of the Museum of Freemasonry (MoF) acts as the Head of Collections overseeing the management, conservation, and access one of the world's largest and most important collection of books, archives and artefacts relating to the history of fraternal societies in general and the United Grand Lodge of England in particular. The Director will lead our teams who look after the library, archive, and museum collections to manage them on a day-to-day basis. They will work with the chairman and charitable trustees to promote and explain the collection to the broadest possible audience. They will oversee the conservation and display of the collection and lead on organising events, exhibitions, seminars, and outreach to make the collection accessible to the widest range of visitors. They will provide strategies for developing the collection including liaising with and advising other libraries and museums with similar collections, promoting scholarly research, raising funds, applying for grants, and developing projects. The Director will work closely with the United Grand Lodge of England, which houses the collection and whose collection the library and museum also help to manage. The Director will manage an annual budget (currently £0.6 million) and will provide strong leadership for the MoF's staff. The role includes overall responsibility for functions such as new acquisitions, collections management, devising temporary exhibitions, visitor activities, public tours, providing and servicing research facilities, marketing, fundraising, financial budgeting and planning and staff management. Key Responsibilities: To lead and manage the staff, drawing on their strengths and helping them to meet their aspirations and those of the MoF users. To work with the Chairman and MoF charitable trustees to develop and implement the MoF's aims and objectives, monitor their achievement and assess and manage risk; to develop and implement strategic plans for future periods including external fundraising. To act as the public face of the MoF, raising its profile and building its reputation To have day-to-day responsibility for budgets and financial management To develop the volunteer base in support of established staff To oversee the interpretation of the MoF's collections to ensure that what it offers (including permanent displays, temporary exhibitions, formal and informal education programmes, and online presence) is designed to meet the needs of key users and is accessible to the widest possible audience. To ensure that the MoF remains one of the leading masonic collections in the world. To identify key relationships for the MoF and develop these to enhance resources, influence, and relevance to key user groups. To manage the MoF's collections effectively to ensure both their presentation and their accessibility The successful candidate will be able to demonstrate the following. Essential attributes: An energetic, creative, resilient, financially aware, and entrepreneurial manager, able to realise a practical vision for the MoF and oversee the management of the collections on a day-to-day basis. Proven leadership experience Experience in museum, library or archives sectors and an ability to relate across these domains. Experience of building and maintaining partnerships, working with tact and diplomacy to achieve shared goals Interest in the field and a demonstrable enthusiasm for the organisation and the collection Educated to bachelor's degree level in a relevant subject. Desirable attributes: Knowledge in the field of fraternal organisations and/or 18th and 19th century social history Experience of managing collections A knowledge of digitisation and cataloguing Postgraduate qualification in relevant area (Museum or Curatorial studies or History) Doctorate in relevant field or topic Salary: £60,000 - £70,000 gross per annum (subject to experience) plus the following benefits package: Private medical cover Pension (3.5% employee & 9% employer contributions - increasing to 12% with length of service) Life Assurance Holiday (30 days) Interest free season ticket loan Gym membership (subsidised) Health and Wellbeing Benefits Flexible working Hours: The successful applicant is required to work 35 hours per week Monday to Friday. Application details: To apply please send your CV and covering letter to: Elizabeth Gay - HR Director - via email button below. Please ensure that your CV/covering letter evidences the necessary skills and how your experience to date matches the requirements for the role. CVs received without a covering letter will not be considered. Closing date for applications is close of business (5pm) on 23 March 2026. Interviews: Interviews will take place from 8th - 10 April 2026.
Mar 18, 2026
Full time
Director Museum of Freemasonry Background Museum of Freemasonry exists to help people learn about freemasonry in all its social and cultural richness. Through openness, dialogue, many voices and multiple perspectives, we illuminate the history and origins of freemasonry, explore its history, values and spirit, and reveal what it has meant for individuals and society through the ages. We thereby help people gain insight into freemasonry and freemasons past and present. Our vision is to become a world-class museum, library and archive. Our current strategic aims are as follows: Public offer: To create an excellent, relevant, accessible visitor attraction and research environment Communications: To increase awareness, reposition the museum, attract audiences and build long-term relationships Collections: To develop, care for and build knowledge of our collections Our people: To nurture and develop our people, expanding the skills in our team About the Museum of Freemasonry The Museum's origins go back to 1838, when the United Grand Lodge of England, the governing body of English freemasonry, allocated a sum of £100 for collecting books, manuscripts and objects of masonic interest, and for commencing the formation of a library and museum. These were housed in the Masonic Hall on Great Queen Street in London. After the First World War () it was decided to build a new masonic hall on the site. The Masonic Peace Memorial opened in 1933 and included a purpose-built museum, library and reading room. Initially just for members, the museum began opening to the general public from the 1980s onwards. In 1996, the Library and Museum Charitable Trust (LMCT) renamed Museum of Freemasonry (MoF) was established as an independent charity. Today, we are a fully Accredited museum, and we welcome visitors from across the world to begin or further their exploration of freemasonry. Like most museums only a fraction of our collection is on display. We look after an extraordinary array of artefacts, many almost 300 years old. These include items as diverse as songbooks, ceremonial regalia and snuffboxes handmade by Napoleonic prisoners of war. Together, our Museum, Library and Archives collections have been awarded Designated Outstanding status. In total we have approximately 30,000 objects related to freemasonry and other fraternal societies, and we're still collecting. The Library contains nearly 60,000 items, including books, pamphlets and manuscripts related to freemasonry and esoteric traditions globally. Our Archives contain over 3.5 linear kilometres of documents, drawings, private papers, photographs and audio-visual material, plus digital assets. The collection includes the records of the United Grand Lodge of England, the Supreme Grand Chapter and various freemasonry charities. It also includes archives relating to individual freemasons, lodges and chapters. The Museum is open to everyone free of charge, Tuesday to Friday. Researchers can view museum collection material in storage by appointment, and anyone is welcome to register as a reader to access material in the Library and Archives collections. The Museum of Freemasonry is an equal opportunities employer. Purpose of the Job: The Director of the Museum of Freemasonry (MoF) acts as the Head of Collections overseeing the management, conservation, and access one of the world's largest and most important collection of books, archives and artefacts relating to the history of fraternal societies in general and the United Grand Lodge of England in particular. The Director will lead our teams who look after the library, archive, and museum collections to manage them on a day-to-day basis. They will work with the chairman and charitable trustees to promote and explain the collection to the broadest possible audience. They will oversee the conservation and display of the collection and lead on organising events, exhibitions, seminars, and outreach to make the collection accessible to the widest range of visitors. They will provide strategies for developing the collection including liaising with and advising other libraries and museums with similar collections, promoting scholarly research, raising funds, applying for grants, and developing projects. The Director will work closely with the United Grand Lodge of England, which houses the collection and whose collection the library and museum also help to manage. The Director will manage an annual budget (currently £0.6 million) and will provide strong leadership for the MoF's staff. The role includes overall responsibility for functions such as new acquisitions, collections management, devising temporary exhibitions, visitor activities, public tours, providing and servicing research facilities, marketing, fundraising, financial budgeting and planning and staff management. Key Responsibilities: To lead and manage the staff, drawing on their strengths and helping them to meet their aspirations and those of the MoF users. To work with the Chairman and MoF charitable trustees to develop and implement the MoF's aims and objectives, monitor their achievement and assess and manage risk; to develop and implement strategic plans for future periods including external fundraising. To act as the public face of the MoF, raising its profile and building its reputation To have day-to-day responsibility for budgets and financial management To develop the volunteer base in support of established staff To oversee the interpretation of the MoF's collections to ensure that what it offers (including permanent displays, temporary exhibitions, formal and informal education programmes, and online presence) is designed to meet the needs of key users and is accessible to the widest possible audience. To ensure that the MoF remains one of the leading masonic collections in the world. To identify key relationships for the MoF and develop these to enhance resources, influence, and relevance to key user groups. To manage the MoF's collections effectively to ensure both their presentation and their accessibility The successful candidate will be able to demonstrate the following. Essential attributes: An energetic, creative, resilient, financially aware, and entrepreneurial manager, able to realise a practical vision for the MoF and oversee the management of the collections on a day-to-day basis. Proven leadership experience Experience in museum, library or archives sectors and an ability to relate across these domains. Experience of building and maintaining partnerships, working with tact and diplomacy to achieve shared goals Interest in the field and a demonstrable enthusiasm for the organisation and the collection Educated to bachelor's degree level in a relevant subject. Desirable attributes: Knowledge in the field of fraternal organisations and/or 18th and 19th century social history Experience of managing collections A knowledge of digitisation and cataloguing Postgraduate qualification in relevant area (Museum or Curatorial studies or History) Doctorate in relevant field or topic Salary: £60,000 - £70,000 gross per annum (subject to experience) plus the following benefits package: Private medical cover Pension (3.5% employee & 9% employer contributions - increasing to 12% with length of service) Life Assurance Holiday (30 days) Interest free season ticket loan Gym membership (subsidised) Health and Wellbeing Benefits Flexible working Hours: The successful applicant is required to work 35 hours per week Monday to Friday. Application details: To apply please send your CV and covering letter to: Elizabeth Gay - HR Director - via email button below. Please ensure that your CV/covering letter evidences the necessary skills and how your experience to date matches the requirements for the role. CVs received without a covering letter will not be considered. Closing date for applications is close of business (5pm) on 23 March 2026. Interviews: Interviews will take place from 8th - 10 April 2026.
Radius is seeking a Data Centre Project Manager/Associate Director This role requires someone with experience of Data Centre new builds from RIBA stages 1-4. Must have a strong understanding of planning, Building regulations, local council planning, working with 3rd party principle contractors, managing and mentoring other Project managers, strong commercial awareness, strategic, MEP / M&E and strong leadership experience. Establishing controlled project environments Project Programme Develop detailed target project programmes and review progress against target. Escalate any issues and actively support the development of options for programme recovery Procurement Procure design teams, plant & equipment, and contractors. Check tender documentation released for completeness. Administer tender clarifications and assist with tender evaluations and recommendations. Support negotiations on contract terms and conditions Cost Control Review all estimates, cost plans, cost reports and cash-flows prepared by in-house and/or external teams and comment on completeness. Participate in seeking funding approval as required . Always consider the project budget, funding approvals and cashflows and escalate any matters that may lead to deviations from planned and approved expenditure. Support the appropriate assessment and resolution of all financial claims and final accounts. Design Management Engage with in-house and/or external design teams and monitor the development of designs. Seek authorisation of design proposals at key work stages. Review and challenge the design as required. Risk Management Prepare and maintain a project risk register. Change Control Implement formal change control processes for any change to time, cost, or scope. Seek approval for the change prior to implementation. Escalate any issues and actively support resolution. Contract Administration Administer consultant and construction contracts in accordance with the terms of the contracts entered into. Escalate any issues and actively support resolution. Consents Monitor that all necessary Town Planning, Statutory Undertaker and Environmental permits and other consents are received. Escalate any issues and actively support resolution. Quality - Engage with in-house and/or external design teams and monitor that designs prepared in relation to a project and the construction works are of the required quality through appropriate review, critique, inspection and benchmarking. Record any non-conformance and seek appropriate resolution. Testing & Commissioning In conjunction with in-house and/or external engineers monitor the production of the Testing & Commissioning plan. Organise attendances at testing and commissioning activities, record defects/anomalies, and ensure matters are resolved. Alongside a competitive salary this employer offers a long list of additional benefits and this is an opportunity no to be missed.
Mar 18, 2026
Full time
Radius is seeking a Data Centre Project Manager/Associate Director This role requires someone with experience of Data Centre new builds from RIBA stages 1-4. Must have a strong understanding of planning, Building regulations, local council planning, working with 3rd party principle contractors, managing and mentoring other Project managers, strong commercial awareness, strategic, MEP / M&E and strong leadership experience. Establishing controlled project environments Project Programme Develop detailed target project programmes and review progress against target. Escalate any issues and actively support the development of options for programme recovery Procurement Procure design teams, plant & equipment, and contractors. Check tender documentation released for completeness. Administer tender clarifications and assist with tender evaluations and recommendations. Support negotiations on contract terms and conditions Cost Control Review all estimates, cost plans, cost reports and cash-flows prepared by in-house and/or external teams and comment on completeness. Participate in seeking funding approval as required . Always consider the project budget, funding approvals and cashflows and escalate any matters that may lead to deviations from planned and approved expenditure. Support the appropriate assessment and resolution of all financial claims and final accounts. Design Management Engage with in-house and/or external design teams and monitor the development of designs. Seek authorisation of design proposals at key work stages. Review and challenge the design as required. Risk Management Prepare and maintain a project risk register. Change Control Implement formal change control processes for any change to time, cost, or scope. Seek approval for the change prior to implementation. Escalate any issues and actively support resolution. Contract Administration Administer consultant and construction contracts in accordance with the terms of the contracts entered into. Escalate any issues and actively support resolution. Consents Monitor that all necessary Town Planning, Statutory Undertaker and Environmental permits and other consents are received. Escalate any issues and actively support resolution. Quality - Engage with in-house and/or external design teams and monitor that designs prepared in relation to a project and the construction works are of the required quality through appropriate review, critique, inspection and benchmarking. Record any non-conformance and seek appropriate resolution. Testing & Commissioning In conjunction with in-house and/or external engineers monitor the production of the Testing & Commissioning plan. Organise attendances at testing and commissioning activities, record defects/anomalies, and ensure matters are resolved. Alongside a competitive salary this employer offers a long list of additional benefits and this is an opportunity no to be missed.
Summary £15.45 - £15.95 per hour 30 hour contract 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. We're reliable, organised and ready to go far. Just like you. As a Retail Shift Manager at Lidl, you'll help us maintain our high standards day after day. From motivating your team to taking responsibility for the shop floor, you'll keep our store running like clockwork, thriving in a fast-paced and challenging environment. You'll also reap the rewards of your hard work, enjoying the responsibility to prove yourself as a leader and find your footing for future success. In return, we'll give you a competitive hourly pay rate based on equal opportunity and pay structures, plus an extra £2.00 per hour for work during bank holidays and £3.50 per hour for night shifts, as well as a generous benefits package designed to support your well-being and life outside of Lidl. We're proud to be supportive teams with big ambitions too, so there'll be plenty of ways for you to progress. With the right training, we'll help you thrive in your role and champion you to succeed in your career here. What you'll do Motivate and support your team, learning from our Leadership and Company Principles Swiftly solve problems and delegate tasks Create an environment where your colleagues can succeed alongside you Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store What you'll need Experience leading a team to achieve targets in a bustling, fast-paced environment The ability to effectively delegate tasks and motivate your team Patience and a friendly manner with the ability to keep calm in any situation Passion to thrive as a key part of the Store Team A proactive and encouraging approach to help your colleagues develop themselves and store operations What you'll receive 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Pension scheme Long service awards Plus, more of the perks you deserve Thinking of using AI to help with your application? AI tools (e.g. Chat GTP, Gemini) can help you get started and prepared for your interview but remember that our team can easily spot AI-generated responses. The applications that stand out most are the ones that feel genuine and reflect your unique self. We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment. If you're ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. Please note your employment is conditional upon the Company's receipt of satisfactory references and if requested by the Company, a satisfactory Disclosure and Barring Service check.
Mar 18, 2026
Full time
Summary £15.45 - £15.95 per hour 30 hour contract 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Everyone who works at Lidl brings something unique to the table - but we also have a whole lot in common. We're reliable, organised and ready to go far. Just like you. As a Retail Shift Manager at Lidl, you'll help us maintain our high standards day after day. From motivating your team to taking responsibility for the shop floor, you'll keep our store running like clockwork, thriving in a fast-paced and challenging environment. You'll also reap the rewards of your hard work, enjoying the responsibility to prove yourself as a leader and find your footing for future success. In return, we'll give you a competitive hourly pay rate based on equal opportunity and pay structures, plus an extra £2.00 per hour for work during bank holidays and £3.50 per hour for night shifts, as well as a generous benefits package designed to support your well-being and life outside of Lidl. We're proud to be supportive teams with big ambitions too, so there'll be plenty of ways for you to progress. With the right training, we'll help you thrive in your role and champion you to succeed in your career here. What you'll do Motivate and support your team, learning from our Leadership and Company Principles Swiftly solve problems and delegate tasks Create an environment where your colleagues can succeed alongside you Manage operations within your Store and colleagues in the absence of the Store Manager and Deputy Store Manager Handle freshness, cash processes, inventory and stock management to make sure shifts run smoothly Give our customers the very best experience every time they visit your store What you'll need Experience leading a team to achieve targets in a bustling, fast-paced environment The ability to effectively delegate tasks and motivate your team Patience and a friendly manner with the ability to keep calm in any situation Passion to thrive as a key part of the Store Team A proactive and encouraging approach to help your colleagues develop themselves and store operations What you'll receive 30-35 days holiday (pro rata) 10% in-store discount Enhanced family leave Pension scheme Long service awards Plus, more of the perks you deserve Thinking of using AI to help with your application? AI tools (e.g. Chat GTP, Gemini) can help you get started and prepared for your interview but remember that our team can easily spot AI-generated responses. The applications that stand out most are the ones that feel genuine and reflect your unique self. We value diversity, equity, and inclusion, welcoming applicants from all backgrounds. Join us to celebrate individuality and grow in a fair, respectful, and inclusive environment. If you're ready to get stuck in, want to get more out of your career and make a real difference, find your place at Lidl and apply now. Please note your employment is conditional upon the Company's receipt of satisfactory references and if requested by the Company, a satisfactory Disclosure and Barring Service check.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Maintenance Engineer - Anaerobic Digestion 45,000 - 55,000 + Overtime + Bonus About the Role: We have partnered with a renewable energy asset manager, specialising in Anaerobic Digestion projects. Due to new sites becoming operational and existing sites requiring upgrades, they are looking to strengthen their engineering team with an electrical focused maintenance engineer. This is an exciting opportunity to play a key role in technical maintenance and upgrades of cutting-edge anaerobic digestion plants, contributing to a sustainable future through renewable energy production. Key Responsibilities: Electrical Maintenance, inspections, and repairs on plant equipment to ensure optimal performance. PPM and reactive maintenance of pumps, motors, gearboxes and valves. Electrical installation and fault finding Control systems and instrumentation design, installation and fault finding. Troubleshoot and resolve mechanical, electrical, and process-related issues. Monitor and optimise performance, of biogas production and feedstock management. Provide technical support and training to plant staff, ensuring high operational standards. Assist with the commissioning of new AD plants and systems. If you are interested in this Maintenance Engineer vacancy, please submit an up-to-date CV through this advert or call the Eko Team on (phone number removed)
Mar 18, 2026
Full time
Maintenance Engineer - Anaerobic Digestion 45,000 - 55,000 + Overtime + Bonus About the Role: We have partnered with a renewable energy asset manager, specialising in Anaerobic Digestion projects. Due to new sites becoming operational and existing sites requiring upgrades, they are looking to strengthen their engineering team with an electrical focused maintenance engineer. This is an exciting opportunity to play a key role in technical maintenance and upgrades of cutting-edge anaerobic digestion plants, contributing to a sustainable future through renewable energy production. Key Responsibilities: Electrical Maintenance, inspections, and repairs on plant equipment to ensure optimal performance. PPM and reactive maintenance of pumps, motors, gearboxes and valves. Electrical installation and fault finding Control systems and instrumentation design, installation and fault finding. Troubleshoot and resolve mechanical, electrical, and process-related issues. Monitor and optimise performance, of biogas production and feedstock management. Provide technical support and training to plant staff, ensuring high operational standards. Assist with the commissioning of new AD plants and systems. If you are interested in this Maintenance Engineer vacancy, please submit an up-to-date CV through this advert or call the Eko Team on (phone number removed)
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Business Development Manager - ATS Software About the Company Actual Hire Ltd specialises in providing cloud-based recruitment technology and managed services designed to streamline the hiring process for HR professionals, recruiters and hiring teams. Our solutions support organisations throughout the entire recruitment lifecycle, from candidate attraction and application management through to onboar click apply for full job details
Mar 18, 2026
Full time
Business Development Manager - ATS Software About the Company Actual Hire Ltd specialises in providing cloud-based recruitment technology and managed services designed to streamline the hiring process for HR professionals, recruiters and hiring teams. Our solutions support organisations throughout the entire recruitment lifecycle, from candidate attraction and application management through to onboar 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 Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
About ELBA ELBA is a leading social regeneration charity in east London. Our mission is to develop employee volunteering and employment initiatives to decrease poverty, improve social mobility and increase equality for communities in east London and beyond. We facilitate corporate support from over 100 organisations into our community, education and employment programmes. With over 35 years of experience enabling successful partnerships between businesses and communities, ELBA engages over 16,000 corporate employees in volunteer programmes annually that support employment, education and community initiatives. In 2024 the Community Works programme supported over 250 charities and social enterprises through engaging employee volunteers in practical and skills-based volunteering opportunities. Purpose of the job The Education Programme at ELBA seeks to raise aspirations of young people, develop their business awareness, and support their employability competencies. Our work involves supporting secondary schools, colleges and universities, predominately through events bringing volunteers together from our corporate partners with local students to support the development of their employability skills and to raise aspirations. Working closely with ELBA s corporate partners, the team engage students in various opportunities supporting Gatsby Benchmarks 5 & 6. The role This role will involve managing relationships with secondary schools, colleges, universities and ELBA corporate partner companies, providing vital support to coordinate and run events of varying scales throughout the academic year. This also includes supporting Mentoring Works, a programme that has been running since 1996 and connects Year 10 and Sixth Form/college students to volunteer business mentors working in the City and Canary Wharf. Taking the relationship lead for a number of our education institutions and corporate partners, the successful candidate will manage these relationships and ensure successful outcomes. Working for ELBA ELBA has a generous annual leave entitlement that increases with length of service; life assurance; 5% employer pension contribution; BUPA health cash plan; enhanced maternity and paternity pay; an active well-being and equalities programmes led by staff; a varied and busy learning and development schedule; cycle purchase scheme; and an Employee Assistance Helpline. Job Description Relationship Management Develop and manage strong relationships with education partners, this can include recruiting students for Mentoring Works and planning a calendar of events with Career Departments. Manage event requests from both education and corporate partners Run cross school projects throughout the year with multiple schools taking part Support the account management process of corporate partners by attending meetings with the wider account management team As a success indicator, consistently secure and maintain high satisfaction ratings from education and corporate partners, ensuring a positive experience for all stakeholders and volunteers. Delivery Deliver projects and activities for educational institutions in line with the priorities and opportunities identified. Create and develop materials and resources, share best practice and design new programmes in line with changing priorities. Lead on development and delivery of group activities to support the Mentoring Works programme and feedback sessions with students Work proactively with CSR departments and other contacts within ELBA corporate partners to promote and enable delivery of projects/activities. Promote safety and wellbeing of students at all times and to follow ELBA s safeguarding policies and have full regard of the policies of the schools and colleges engaged in ELBA programmes As a success indicator, ensure the execution of project milestones by consistently meeting or exceeding delivery timelines and stakeholder requirements. Communication, reporting and evaluation All ELBA employees are required to use Salesforce as a record of activity. Training will be provided. Update Salesforce with all activity in line with agreed timescales, share updates with partners on activity. Support the Comms team as required Implement agreed evaluation and impact measurement tools for each project/activity Regularly write case studies, newsletter stories to showcase the impact of the education programme As a success indicator, produce comprehensive annual impact reports for partner schools, colleges, and universities, translating activity data into actionable insights that demonstrate programme value and success. General Represent and act as an ELBA ambassador at meetings, social events and functions when required Attend ELBA team meetings, collaborate with other ELBA colleagues on projects where appropriate and contribute to the development of ELBA as an organisation Adhere to relevant policies including equal opportunities and health and safety
Mar 18, 2026
Full time
About ELBA ELBA is a leading social regeneration charity in east London. Our mission is to develop employee volunteering and employment initiatives to decrease poverty, improve social mobility and increase equality for communities in east London and beyond. We facilitate corporate support from over 100 organisations into our community, education and employment programmes. With over 35 years of experience enabling successful partnerships between businesses and communities, ELBA engages over 16,000 corporate employees in volunteer programmes annually that support employment, education and community initiatives. In 2024 the Community Works programme supported over 250 charities and social enterprises through engaging employee volunteers in practical and skills-based volunteering opportunities. Purpose of the job The Education Programme at ELBA seeks to raise aspirations of young people, develop their business awareness, and support their employability competencies. Our work involves supporting secondary schools, colleges and universities, predominately through events bringing volunteers together from our corporate partners with local students to support the development of their employability skills and to raise aspirations. Working closely with ELBA s corporate partners, the team engage students in various opportunities supporting Gatsby Benchmarks 5 & 6. The role This role will involve managing relationships with secondary schools, colleges, universities and ELBA corporate partner companies, providing vital support to coordinate and run events of varying scales throughout the academic year. This also includes supporting Mentoring Works, a programme that has been running since 1996 and connects Year 10 and Sixth Form/college students to volunteer business mentors working in the City and Canary Wharf. Taking the relationship lead for a number of our education institutions and corporate partners, the successful candidate will manage these relationships and ensure successful outcomes. Working for ELBA ELBA has a generous annual leave entitlement that increases with length of service; life assurance; 5% employer pension contribution; BUPA health cash plan; enhanced maternity and paternity pay; an active well-being and equalities programmes led by staff; a varied and busy learning and development schedule; cycle purchase scheme; and an Employee Assistance Helpline. Job Description Relationship Management Develop and manage strong relationships with education partners, this can include recruiting students for Mentoring Works and planning a calendar of events with Career Departments. Manage event requests from both education and corporate partners Run cross school projects throughout the year with multiple schools taking part Support the account management process of corporate partners by attending meetings with the wider account management team As a success indicator, consistently secure and maintain high satisfaction ratings from education and corporate partners, ensuring a positive experience for all stakeholders and volunteers. Delivery Deliver projects and activities for educational institutions in line with the priorities and opportunities identified. Create and develop materials and resources, share best practice and design new programmes in line with changing priorities. Lead on development and delivery of group activities to support the Mentoring Works programme and feedback sessions with students Work proactively with CSR departments and other contacts within ELBA corporate partners to promote and enable delivery of projects/activities. Promote safety and wellbeing of students at all times and to follow ELBA s safeguarding policies and have full regard of the policies of the schools and colleges engaged in ELBA programmes As a success indicator, ensure the execution of project milestones by consistently meeting or exceeding delivery timelines and stakeholder requirements. Communication, reporting and evaluation All ELBA employees are required to use Salesforce as a record of activity. Training will be provided. Update Salesforce with all activity in line with agreed timescales, share updates with partners on activity. Support the Comms team as required Implement agreed evaluation and impact measurement tools for each project/activity Regularly write case studies, newsletter stories to showcase the impact of the education programme As a success indicator, produce comprehensive annual impact reports for partner schools, colleges, and universities, translating activity data into actionable insights that demonstrate programme value and success. General Represent and act as an ELBA ambassador at meetings, social events and functions when required Attend ELBA team meetings, collaborate with other ELBA colleagues on projects where appropriate and contribute to the development of ELBA as an organisation Adhere to relevant policies including equal opportunities and health and safety
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Job Title: Marketing & Partnerships Manager (Retail) Location: Home Office based role with up to 50% travel time to Customers, London Atelier , Uk Head Office (Ashford, Kent) & Paris Head Office Salary: 50,000 per annum, plus bonus and company car. Job Type: Full time/permanent We are looking for an experienced Marketing & Partnerships Manager (Retail) to lead retail marketing, merchandising and retail partnerships within the building/home equipment sector. This role will drive commercial growth through strong in-market retail strategies, trade partnerships and outstanding in-store execution across the geographic area. Key responsibilities: Develop and execute retail marketing and merchandising strategies to achieve sales, distribution and profitability targets. Build and manage high-impact partnerships with key retailers, distributors and channel partners; negotiate commercial agreements and promotional plans. Design and implement RTM (route-to-market) strategies and activation plans tailored to the specificities and customer expectations of the geographic area. Lead trade marketing campaigns, in-store activations, planograms, visual merchandising and promotional calendar to maximise category performance. Use market and consumer insights to define target segments, pricing, assortment and shopper propositions. Monitor KPIs (sales, distribution, sell-through, ROI of promotions) and prepare regular commercial performance reports and forecasts. Coordinate cross-functional work with sales, product, operations and digital teams to ensure consistent brand and customer experience across channels. Required experience & skills: Minimum 5 years experience in marketing, retail and merchandising. Strong knowledge of retail and commercial challenges in the geographic area, including local specificities and customer expectations, commercial targets and RTM in the building or home equipment sector. Proven track record of delivering retail growth through partnerships, trade marketing and merchandising programs. Strong negotiation, stakeholder management and relationship-building skills with retailers and distributors. Commercial mindset with experience managing budgets, P&L impact and measuring ROI. Strong project management skills and ability to manage multiple activations across markets.
Mar 18, 2026
Full time
Job Title: Marketing & Partnerships Manager (Retail) Location: Home Office based role with up to 50% travel time to Customers, London Atelier , Uk Head Office (Ashford, Kent) & Paris Head Office Salary: 50,000 per annum, plus bonus and company car. Job Type: Full time/permanent We are looking for an experienced Marketing & Partnerships Manager (Retail) to lead retail marketing, merchandising and retail partnerships within the building/home equipment sector. This role will drive commercial growth through strong in-market retail strategies, trade partnerships and outstanding in-store execution across the geographic area. Key responsibilities: Develop and execute retail marketing and merchandising strategies to achieve sales, distribution and profitability targets. Build and manage high-impact partnerships with key retailers, distributors and channel partners; negotiate commercial agreements and promotional plans. Design and implement RTM (route-to-market) strategies and activation plans tailored to the specificities and customer expectations of the geographic area. Lead trade marketing campaigns, in-store activations, planograms, visual merchandising and promotional calendar to maximise category performance. Use market and consumer insights to define target segments, pricing, assortment and shopper propositions. Monitor KPIs (sales, distribution, sell-through, ROI of promotions) and prepare regular commercial performance reports and forecasts. Coordinate cross-functional work with sales, product, operations and digital teams to ensure consistent brand and customer experience across channels. Required experience & skills: Minimum 5 years experience in marketing, retail and merchandising. Strong knowledge of retail and commercial challenges in the geographic area, including local specificities and customer expectations, commercial targets and RTM in the building or home equipment sector. Proven track record of delivering retail growth through partnerships, trade marketing and merchandising programs. Strong negotiation, stakeholder management and relationship-building skills with retailers and distributors. Commercial mindset with experience managing budgets, P&L impact and measuring ROI. Strong project management skills and ability to manage multiple activations across markets.
Senior Administrator, Insolvency & Restructuring - Quantuma - Maidenhead Quantuma is an independent advisory firm serving the needs of mid-market and corporate companies, as well as their stakeholders. Our experts advise clients on business transactions, resolving business disputes, mitigating risk and managing operational as well as financial challenges. We have deep experience and specialist expertise in restructuring and insolvency, corporate finance, forensic accounting and investigations, cross-border asset recovery and creditor services. We work alongside accountants, major law practices, private equity houses, lenders and regulators. Our 400-strong team operates from 28 offices across the UK, Cyprus, Mauritius, Dubai, the Cayman Islands, the British Virgin Islands (BVI), Singapore, Hong Kong, and Vietnam. Our Corporate Insolvency & Restructuring team is recognised as the leading, independent business advisory firm providing solutions to both lenders and distressed mid-market and corporate companies. Senior Administrator - Insolvency & Restructuring Are you ready for the next step in your insolvency career? Do you want to be recognised and rewarded for your achievements? Does a more varied case load interest you? As a Senior Administrator you will be challenged with interesting and important work and have plenty of opportunity to develop your skills. You will join our Maidenhead office and be fully involved in managing your own caseload of Trading & Pre-Pack Administrations, Complex Liquidations, CVA's and Advisory engagements. You will work closely with Managers and Directors on Accelerated M&A processes and a range of Advisory & Restructuring projects. You will be an experienced Insolvency Administrator already familiar with the processes involved in Administrations, Liquidations (solvent and insolvent) and CVA's. This role will give you the opportunity to enhance your experience on complex insolvency cases and advisory projects, whilst progressing your studies (CPI or JIEB) alongside your work. As well as being a great place to work, we offer our employees a range of benefits including: Hybrid working (2 or 3 days in the office each week) Healthcare cash plan Life assurance An Employee Assistance Programme (EAP). Our EAP is a free and confidential employee benefit designed to help deal with issues that could be affecting general wellbeing. Cycle To Work Scheme Eye Care Employee incentives, discounts and perks. Refer-a-Friend incentive - We hope you enjoy working here so much, you recommend us to your friends and family, you can earn up to £3,000.00 for referring us.
Mar 18, 2026
Full time
Senior Administrator, Insolvency & Restructuring - Quantuma - Maidenhead Quantuma is an independent advisory firm serving the needs of mid-market and corporate companies, as well as their stakeholders. Our experts advise clients on business transactions, resolving business disputes, mitigating risk and managing operational as well as financial challenges. We have deep experience and specialist expertise in restructuring and insolvency, corporate finance, forensic accounting and investigations, cross-border asset recovery and creditor services. We work alongside accountants, major law practices, private equity houses, lenders and regulators. Our 400-strong team operates from 28 offices across the UK, Cyprus, Mauritius, Dubai, the Cayman Islands, the British Virgin Islands (BVI), Singapore, Hong Kong, and Vietnam. Our Corporate Insolvency & Restructuring team is recognised as the leading, independent business advisory firm providing solutions to both lenders and distressed mid-market and corporate companies. Senior Administrator - Insolvency & Restructuring Are you ready for the next step in your insolvency career? Do you want to be recognised and rewarded for your achievements? Does a more varied case load interest you? As a Senior Administrator you will be challenged with interesting and important work and have plenty of opportunity to develop your skills. You will join our Maidenhead office and be fully involved in managing your own caseload of Trading & Pre-Pack Administrations, Complex Liquidations, CVA's and Advisory engagements. You will work closely with Managers and Directors on Accelerated M&A processes and a range of Advisory & Restructuring projects. You will be an experienced Insolvency Administrator already familiar with the processes involved in Administrations, Liquidations (solvent and insolvent) and CVA's. This role will give you the opportunity to enhance your experience on complex insolvency cases and advisory projects, whilst progressing your studies (CPI or JIEB) alongside your work. As well as being a great place to work, we offer our employees a range of benefits including: Hybrid working (2 or 3 days in the office each week) Healthcare cash plan Life assurance An Employee Assistance Programme (EAP). Our EAP is a free and confidential employee benefit designed to help deal with issues that could be affecting general wellbeing. Cycle To Work Scheme Eye Care Employee incentives, discounts and perks. Refer-a-Friend incentive - We hope you enjoy working here so much, you recommend us to your friends and family, you can earn up to £3,000.00 for referring us.
Join Our Dynamic Team as our Learning Compliance Lead in Audit Stream L&D! Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited and high growth businesses that fuel the economy - and directly advise the owners and management teams leading them. We'll broaden your horizons Learning and Development (L&D) is a key enabler of our strategy as an Audit Stream and critical to our success. It supports our ability to attract, develop and retain talented people who take pride in their work and successfully deliver for our business. Effective L&D underpins quality and productivity by supporting our people to develop the necessary knowledge and skills to perform their work, helping them reach their personal and professional potential. Are you ready to broaden your horizons and make a significant impact in the world of Learning and Development? Here is your chance to play a pivotal role in shaping the future of learning within the Audit Stream by joining our leadership team. We are seeking a talented and ambitious Senior Manager to oversee our compliance and regulatory reporting activities. Why Join Us? Strategic Influence: Be a key player in driving our Audit Stream L&D Strategy, ensuring our curriculum meets quality standards and complies with regulatory requirements whilst also delivery the best people experience possible. Innovative Environment: Work with cutting-edge tools and technology to develop effective and engaging learning for our people, which is tailored, relevant and timely, fostering a culture of continuous learning. Leadership Role: Collaborate with senior stakeholders and support the Audit Stream L&D team to achieve strategic and operational goals. Professional Growth: Support and coach the wider team, advocating for L&D activities and representing our organisation at external events. Key Responsibilities: Support the Audit Stream L&D team to design, develop, and evaluate our curriculum to ensure compliance with reporting requirements. Coordinate with stakeholders to understand and respond to compliance and regulatory needs. Lead on our ISQM (UK) 1 response, providing insights into best practices to optimise systems, processes, and controls, making risks within our system of quality management and recommending enhancements as appropriate. Act as a liaison for internal stakeholders and support engagement with regulators. Oversee compliance monitoring and reporting, managing risks and enhancing learning effectiveness. Lead on the delivery of Audit Stream L&D's strategic priorities as part of the leadership team, managing and coaching the wider team in the execution of their roles as needed. What We're Looking For: Experienced Senior Manager with a background in Learning & Development or Adult Education. Strong understanding of audit and regulatory environments. Ability to build and maintain relationships at a senior level. Proven managerial and leadership skills to inspire and engage teams. We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value and satisfying experiences at work, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions. We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.
Mar 18, 2026
Full time
Join Our Dynamic Team as our Learning Compliance Lead in Audit Stream L&D! Ideas People Trust We're BDO. An accountancy and business advisory firm, providing the advice and solutions entrepreneurial organisations need to navigate today's changing world. We work with the companies that are Britain's economic engine - ambitious, entrepreneurially-spirited and high growth businesses that fuel the economy - and directly advise the owners and management teams leading them. We'll broaden your horizons Learning and Development (L&D) is a key enabler of our strategy as an Audit Stream and critical to our success. It supports our ability to attract, develop and retain talented people who take pride in their work and successfully deliver for our business. Effective L&D underpins quality and productivity by supporting our people to develop the necessary knowledge and skills to perform their work, helping them reach their personal and professional potential. Are you ready to broaden your horizons and make a significant impact in the world of Learning and Development? Here is your chance to play a pivotal role in shaping the future of learning within the Audit Stream by joining our leadership team. We are seeking a talented and ambitious Senior Manager to oversee our compliance and regulatory reporting activities. Why Join Us? Strategic Influence: Be a key player in driving our Audit Stream L&D Strategy, ensuring our curriculum meets quality standards and complies with regulatory requirements whilst also delivery the best people experience possible. Innovative Environment: Work with cutting-edge tools and technology to develop effective and engaging learning for our people, which is tailored, relevant and timely, fostering a culture of continuous learning. Leadership Role: Collaborate with senior stakeholders and support the Audit Stream L&D team to achieve strategic and operational goals. Professional Growth: Support and coach the wider team, advocating for L&D activities and representing our organisation at external events. Key Responsibilities: Support the Audit Stream L&D team to design, develop, and evaluate our curriculum to ensure compliance with reporting requirements. Coordinate with stakeholders to understand and respond to compliance and regulatory needs. Lead on our ISQM (UK) 1 response, providing insights into best practices to optimise systems, processes, and controls, making risks within our system of quality management and recommending enhancements as appropriate. Act as a liaison for internal stakeholders and support engagement with regulators. Oversee compliance monitoring and reporting, managing risks and enhancing learning effectiveness. Lead on the delivery of Audit Stream L&D's strategic priorities as part of the leadership team, managing and coaching the wider team in the execution of their roles as needed. What We're Looking For: Experienced Senior Manager with a background in Learning & Development or Adult Education. Strong understanding of audit and regulatory environments. Ability to build and maintain relationships at a senior level. Proven managerial and leadership skills to inspire and engage teams. We're in it together Mutual support and respect is one of BDO's core values and we're proud of our distinctive, people-centred culture. From informal success conversations to formal mentoring and coaching, we'll support you at every stage in your career, whatever your personal and professional needs. Our agile working framework helps us stay connected, bringing teams together where and when it counts so they can share ideas and help one another. At BDO, you'll always have access to the people and resources you need to do your best work. We know that collaboration is the key to creating value and satisfying experiences at work, so we've invested in state-of-the-art collaboration spaces in our offices. BDO's people represent a wealth of knowledge and expertise, and we'll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy. Our success is powered by our people, which is why we're always finding new ways to invest in you. Across the UK thousands of unique minds continue to come together to help companies we work with to achieve their ambitions. We've got a clear purpose, and we're confident in our future, because we're adapting and evolving to build on our strengths, ensuring we continue to find the right combination of global reach, integrity and expertise. We shape the future together with openness and clarity, because we believe in empowering people to think creatively about how we can do things better.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 18, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Business Analyst (Technical) - Engineering Enablement | Public Sector | Leeds or Newcastle | [Rate £565 PD ) (Inside IR35) Futureheads are partnering with a leading digital consultancy to find an experienced Technical Business Analyst to join a newly formed engineering enablement team. This is a hands-on, technically demanding role working at the heart of a major software delivery organisation, Embedded alongside software engineers, architects, and DevOps teams to help identify, build, and document the shared capabilities and technical enablers that underpin feature delivery. This is not a traditional BA role. You will be working on engineering requirements - shaping the platforms, services, and technical components that delivery teams depend on. Your primary stakeholders are lead engineers, and you will need to be credible, curious, and confident enough to push back when needed. What you will be doing Facilitating technical discussions to drive the right design solutions, working alongside an engineering strategy team on shared capabilities and technical enablers Analysing complex business and technical processes, applying lean thinking to identify opportunities, benefits, and risks Eliciting stakeholder and user needs, mapping and validating requirements, and ensuring solutions are reflective of those needs Scoping and writing technical user stories that meet the definition of ready, providing ongoing clarification through development and testing Supporting high quality evaluations of ideas and proof of concept activity, including ideation, discovery, scoping, success factors, risks, assumptions, proposals, and value realisation plans Engaging a wide range of technical stakeholders - primarily Product Managers, DevOps, software engineers, data engineers, architects, and security - to establish requirements and priorities Working closely with technical team members to ensure shared understanding of requirements for implementation Assimilating technical requirements quickly and challenging effectively while building strong working relationships in both one-to-one and group settings Supporting multiple strands of work across contexts, identifying and helping build services that span delivery teams About you Recent, applied experience working within a software development domain - you understand how engineering teams work and can push back credibly Proven track record of providing authoritative guidance and steering delivery under broad direction, with accountability for significant outcomes across multiple technical workstreams (SFIA Level 5) Strong technical background with hands-on understanding of software development practices, QA, and testing approaches Ability to write engineering-focused user stories and requirements, enabling technical platforms and supporting behind-the-scenes engineering work Skilled at discovery and problem framing, with experience supporting ideation, proof of concept, and capability assessments Confident engaging lead engineers as your primary customers - not end users - and able to build credibility quickly in a technical environment Comfortable working across multiple teams and technical contexts simultaneously, identifying patterns and building shared services Strong analytical thinking with the ability to apply lean principles to optimise value in complex technical processes Additional Context This is a new team. Initial roles include a Tech Architect, Delivery Manager, and this BA position, with engineers to follow. Stakeholders are engaged and ready - delivery is expected to begin promptly. You will need to hit the ground running. Note: Experience with Power Platform or low/no-code tools for office automation does not meet the software development requirement for this role. Candidates must demonstrate recent, applied software engineering domain experience.
Mar 18, 2026
Contractor
Business Analyst (Technical) - Engineering Enablement | Public Sector | Leeds or Newcastle | [Rate £565 PD ) (Inside IR35) Futureheads are partnering with a leading digital consultancy to find an experienced Technical Business Analyst to join a newly formed engineering enablement team. This is a hands-on, technically demanding role working at the heart of a major software delivery organisation, Embedded alongside software engineers, architects, and DevOps teams to help identify, build, and document the shared capabilities and technical enablers that underpin feature delivery. This is not a traditional BA role. You will be working on engineering requirements - shaping the platforms, services, and technical components that delivery teams depend on. Your primary stakeholders are lead engineers, and you will need to be credible, curious, and confident enough to push back when needed. What you will be doing Facilitating technical discussions to drive the right design solutions, working alongside an engineering strategy team on shared capabilities and technical enablers Analysing complex business and technical processes, applying lean thinking to identify opportunities, benefits, and risks Eliciting stakeholder and user needs, mapping and validating requirements, and ensuring solutions are reflective of those needs Scoping and writing technical user stories that meet the definition of ready, providing ongoing clarification through development and testing Supporting high quality evaluations of ideas and proof of concept activity, including ideation, discovery, scoping, success factors, risks, assumptions, proposals, and value realisation plans Engaging a wide range of technical stakeholders - primarily Product Managers, DevOps, software engineers, data engineers, architects, and security - to establish requirements and priorities Working closely with technical team members to ensure shared understanding of requirements for implementation Assimilating technical requirements quickly and challenging effectively while building strong working relationships in both one-to-one and group settings Supporting multiple strands of work across contexts, identifying and helping build services that span delivery teams About you Recent, applied experience working within a software development domain - you understand how engineering teams work and can push back credibly Proven track record of providing authoritative guidance and steering delivery under broad direction, with accountability for significant outcomes across multiple technical workstreams (SFIA Level 5) Strong technical background with hands-on understanding of software development practices, QA, and testing approaches Ability to write engineering-focused user stories and requirements, enabling technical platforms and supporting behind-the-scenes engineering work Skilled at discovery and problem framing, with experience supporting ideation, proof of concept, and capability assessments Confident engaging lead engineers as your primary customers - not end users - and able to build credibility quickly in a technical environment Comfortable working across multiple teams and technical contexts simultaneously, identifying patterns and building shared services Strong analytical thinking with the ability to apply lean principles to optimise value in complex technical processes Additional Context This is a new team. Initial roles include a Tech Architect, Delivery Manager, and this BA position, with engineers to follow. Stakeholders are engaged and ready - delivery is expected to begin promptly. You will need to hit the ground running. Note: Experience with Power Platform or low/no-code tools for office automation does not meet the software development requirement for this role. Candidates must demonstrate recent, applied software engineering domain experience.
