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 03, 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 03, 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.
DUTIES AND KEY RESPONSIBILITIES Strategic communications Lead the development, implementation, and management of MAP s strategic communications and support public engagement initiatives. Oversee the organisation s language and messaging frameworks, including the maintenance of the language guide and key messaging documents to ensure clarity, consistency, and alignment with MAP s mission and communications objectives. Develop, implement and manage integrated, cross channel communications plans and strategies. Bring a prospector s mindset, spotting openings, anticipating debate moments and positioning MAP ahead of the curve rather than reacting to events. Support the organisation in contributing to crisis communications planning and responding to mitigate reputational risks. Media management Lead on the development and delivery of high-impact content to raise MAP s profile and influence, and to drive public and supporter engagement. Actively seek out and develop opportunities for MAP to shape public, political and sector debates, including through opinion pieces, broadcast opportunities, podcasts, industry and specialist media, conferences and high-level events. Manage MAP s Senior Media and Communications Officer, fostering professional growth, confidence and judgement. Conduct regular one to ones, appraisals, and support their work. Manage the production, review and sign off of all media materials including press releases, op-eds, letters to the editor, media updates, and other external communications content where necessary. Ensure efficient delegation where required. Lead media engagement, including briefing spokespeople and coordinating MAP s responses to media inquiries, ensuring delegation where required. Provide high-quality briefing, messaging development, and media preparation for senior staff engaging externally. Maintain and build strong, trusted relationships with journalists and editors across UK and international media. Alert MAP s staff to imminent news and current affairs stories, and recommend communications actions or restraint as appropriate. Advocacy and campaigns communications Develop strategic communications plans for MAP s advocacy and campaigning initiatives (such as, party conferences, parliamentary and UN engagement), identifying media opportunities, and ensuring key messaging is aligned with advocacy objectives and reaches targeted audiences. Work closely with MAP s Advocacy and Campaigns Team to amplify campaign impact through coordinated media and supporter-facing communications. Strengthen MAP s role in advocacy coalitions by leading collaborative media and communications outputs with partners. Help ensure that communities MAP supports have a voice in campaigns, that their perspectives shape messaging and that communications do not expose staff, partners or communities to undue risk. Advise on the strategic communication opportunities to profile and disseminate policy and research outputs. General responsibilities Support the mission, ethos and values of MAP. Support advocacy and research functions as required. Manage external suppliers providing design, printing and other support as required. Represent MAP at external meetings including with media, partners and supporters, and deliver talks when required. Carry out fact-checking, proof-reading/copy editing and other administrative tasks as needed. Carry out other associated duties as may arise in line with the broad remit of the position. Support and promote diversity and equality of opportunity in the workplace. Work collaboratively with others in all aspects of our work. PERSON SPECIFICATION Experience and knowledge Substantial, relevant and recent experience of communications at a national and/or international level within humanitarian, healthcare or human rights organisations. Strong track record of developing and implementing communications strategies to achieve advocacy and fundraising objectives. Experience in overseeing organisational language and messaging frameworks in politically sensitive contexts. Strong experience in media relations, including briefing spokespeople, drafting press releases, reactive and proactive media handling, and securing media coverage. Understanding of digital communications and campaign tools (e.g., petitions, email campaigns) and audience engagement strategies. Experience working with fundraising/marketing teams, consultants and agencies. Strong understanding of political risk, reputational management and crisis communications. Knowledge and understanding of the political context and of development and humanitarian issues in Palestine and Lebanon and the wider Middle East is desirable. Skills and abilities Strong communicator (written and oral) and persuasive storyteller. In depth understanding of how media can be a tool for influence and to achieve change. Confident interpersonal, influencing and relationship management skills, and an ability to pitch stories persuasively to media and other targets. Creativity and a willingness to innovate. Fluent written and spoken English. Ability to prioritise and ability to deal with competing demands in a fast-paced working environment. Ability to work collaboratively and independently, with sound judgement and discretion. Keen attention to detail, copy/proof editing and quality control on all outputs. Working knowledge of Arabic is an advantage. Personal attributes and other requirements Commitment to human rights, international justice, and promoting Palestinian participation in communications and campaigns. Able to travel extensively within London and the UK and willingness to travel to Lebanon and the occupied Palestinian territory occasionally as required. Able to work occasionally on evenings and weekends, with time off in lieu. Commitment to advancing anti-racism, anti-discrimination and equal opportunities.
Mar 03, 2026
Full time
DUTIES AND KEY RESPONSIBILITIES Strategic communications Lead the development, implementation, and management of MAP s strategic communications and support public engagement initiatives. Oversee the organisation s language and messaging frameworks, including the maintenance of the language guide and key messaging documents to ensure clarity, consistency, and alignment with MAP s mission and communications objectives. Develop, implement and manage integrated, cross channel communications plans and strategies. Bring a prospector s mindset, spotting openings, anticipating debate moments and positioning MAP ahead of the curve rather than reacting to events. Support the organisation in contributing to crisis communications planning and responding to mitigate reputational risks. Media management Lead on the development and delivery of high-impact content to raise MAP s profile and influence, and to drive public and supporter engagement. Actively seek out and develop opportunities for MAP to shape public, political and sector debates, including through opinion pieces, broadcast opportunities, podcasts, industry and specialist media, conferences and high-level events. Manage MAP s Senior Media and Communications Officer, fostering professional growth, confidence and judgement. Conduct regular one to ones, appraisals, and support their work. Manage the production, review and sign off of all media materials including press releases, op-eds, letters to the editor, media updates, and other external communications content where necessary. Ensure efficient delegation where required. Lead media engagement, including briefing spokespeople and coordinating MAP s responses to media inquiries, ensuring delegation where required. Provide high-quality briefing, messaging development, and media preparation for senior staff engaging externally. Maintain and build strong, trusted relationships with journalists and editors across UK and international media. Alert MAP s staff to imminent news and current affairs stories, and recommend communications actions or restraint as appropriate. Advocacy and campaigns communications Develop strategic communications plans for MAP s advocacy and campaigning initiatives (such as, party conferences, parliamentary and UN engagement), identifying media opportunities, and ensuring key messaging is aligned with advocacy objectives and reaches targeted audiences. Work closely with MAP s Advocacy and Campaigns Team to amplify campaign impact through coordinated media and supporter-facing communications. Strengthen MAP s role in advocacy coalitions by leading collaborative media and communications outputs with partners. Help ensure that communities MAP supports have a voice in campaigns, that their perspectives shape messaging and that communications do not expose staff, partners or communities to undue risk. Advise on the strategic communication opportunities to profile and disseminate policy and research outputs. General responsibilities Support the mission, ethos and values of MAP. Support advocacy and research functions as required. Manage external suppliers providing design, printing and other support as required. Represent MAP at external meetings including with media, partners and supporters, and deliver talks when required. Carry out fact-checking, proof-reading/copy editing and other administrative tasks as needed. Carry out other associated duties as may arise in line with the broad remit of the position. Support and promote diversity and equality of opportunity in the workplace. Work collaboratively with others in all aspects of our work. PERSON SPECIFICATION Experience and knowledge Substantial, relevant and recent experience of communications at a national and/or international level within humanitarian, healthcare or human rights organisations. Strong track record of developing and implementing communications strategies to achieve advocacy and fundraising objectives. Experience in overseeing organisational language and messaging frameworks in politically sensitive contexts. Strong experience in media relations, including briefing spokespeople, drafting press releases, reactive and proactive media handling, and securing media coverage. Understanding of digital communications and campaign tools (e.g., petitions, email campaigns) and audience engagement strategies. Experience working with fundraising/marketing teams, consultants and agencies. Strong understanding of political risk, reputational management and crisis communications. Knowledge and understanding of the political context and of development and humanitarian issues in Palestine and Lebanon and the wider Middle East is desirable. Skills and abilities Strong communicator (written and oral) and persuasive storyteller. In depth understanding of how media can be a tool for influence and to achieve change. Confident interpersonal, influencing and relationship management skills, and an ability to pitch stories persuasively to media and other targets. Creativity and a willingness to innovate. Fluent written and spoken English. Ability to prioritise and ability to deal with competing demands in a fast-paced working environment. Ability to work collaboratively and independently, with sound judgement and discretion. Keen attention to detail, copy/proof editing and quality control on all outputs. Working knowledge of Arabic is an advantage. Personal attributes and other requirements Commitment to human rights, international justice, and promoting Palestinian participation in communications and campaigns. Able to travel extensively within London and the UK and willingness to travel to Lebanon and the occupied Palestinian territory occasionally as required. Able to work occasionally on evenings and weekends, with time off in lieu. Commitment to advancing anti-racism, anti-discrimination and equal opportunities.
ABOUT THE ROLE We are looking for a creative and dynamic person with a proven track record in creating, delivering and managing digital content across social media platforms to develop, implement and manage strategies to grow our online presence and raise our profile. You ll have demonstrable experience across a wide range of social media platforms with the ability to craft engaging content to build a rapport with your audience while continuing to uphold our brand and professional values. You will be managing multiple accounts held by the charity. You will have experience of using third party management tools to create, plan and schedule content, analysing reach and engagement, and using analytical tools to help make informed decisions about our digital marketing strategies. You will regularly report back to the management team feeding into our wider strategy discussions, making recommendations on future campaigns. You will be part of a wider communications team, working alongside the PR & Communications Manager, reporting to one of the trustees, fostering an organisation-wide approach working with all colleagues to ensure a planned, structured and collaborative approach to our communications and marketing planning. As a small charity, flexibility is key to meet the needs of our shifting priorities and in between delivering and managing social media content your primary focus you will additionally support wider marketing activities with creation of digital content to support charity advertising, support the development of our online (web) content and more general activities across the communications team. While there will be some level of existing experience, training will be provided for anything bespoke. As part of the role, you will help our UK-based volunteers to develop local social media activities and support them as required. This may involve making recommendations in their approach, supporting content creation and upskilling them to gain confidence in using social media. The role is remote and the successful applicant can work from a location of their choice, making optimum use of video conferencing and online collaboration tools to connect with the wider communications team. Some UK travel within the role is expected with the charity reimbursing reasonable UK travel costs where agreed up front and on behalf of the charity. KEY RESPONSIBILITIES Own and lead social media execution, from planning through to delivery across multiple accounts and multiple platforms Develop content and strategy for new (to IA) and new-to-market platforms Develop and deliver relevant content that drives awareness, engagement and conversation in line with IA s aims and objectives Work closely with communications peers, wider staff and volunteers to deliver meaningful campaigns which aligns to IA s purpose and support model Upholding brand and culture in everything you do Co-develop policies relating to your area of responsibility to ensure the management of online risks, suitability to content, data protection and safeguarding Develop partnerships with key individuals, ensuring strong social amplification and storytelling Oversee social content calendars, asset production and approvals aligned to wider communications strategies Review and manage marketing assets, ensuring brand consistency and compliant content Adapt quickly to shifting priorities and confidently jump into new projects in a fast-moving environment Support with the development/management of wider digital content (web, digital advertising) prioritising the needs of the charity Monitoring all socials, reacting to/moderating follower engagement and questions as part of our wider support model Supporting volunteers with local branch social media engagement, advising on use, upholding IA s wider values and policies and monitoring content/engagement suggesting changes where relevant Management reporting on social media interactions, successes, areas for development, improvements and making recommendations to the Management team/Board PERSON SPECIFICATION ESSENTIAL Experience in developing and implementing social media strategies and content in a similar role for at least 12 months A thorough working knowledge of a wide range of social media platforms Third-party applications to manage social media content across a range of platforms in addition to regular reporting and provision of management information to help the team make informed decisions to support the wider charity s wider digital marketing strategy. Development of engaging and creative digital content Experience in social media moderation Working with and maintaining effective stakeholder relationships including our trustees, staff, volunteers and external medical professionals Digital marketing experience Team player Familiarity with UK data protection regulation DESIRABLE Working knowledge of the Wordpress platform Advertising opportunities across social media to expand reach including cost models and budgetary management Basic understanding of AI and the benefits of using it within the not-for-profit sector Experience of working on sensitive content for people who have experienced acute and chronic illness, been through life changing surgery or those who may be feeling vulnerable or exposed at a difficult time Experience across the not-for-profit sector Experience of A/B testing SKILLS & QUALITIES Excellent communication and interpersonal skills Flexible, adaptable in approach, creative thinker Commitment to equity, diversity and inclusion APPLICATION PROCESS To apply, please submit: 1. Your CV (up to 3 pages) 2. A covering letter outlining your suitability to the role (max 500 words) Interviews will be two-stage for successful candidates. Initial interviews will be held via video conferencing (such as Zoom) discussing previous experience and role fit with successful candidates going through to a second round. This includes alignment to IA s values. Please allow up to 1 hour for this stage. Second round interviews are expected to be via video conference. Successful candidates will, at least one week in advance of the second round, be given a short brief and asked to provide sample content (or a clear idea of their marketing strategy) and share their ideas at least 48hrs before the interview. Candidates should be prepared to present their social media ideas at interview and answer any questions from the interview panel. Additionally second stage applicants will be asked to provide examples of their own previously created content, at least 48hrs prior to the interview. You should be comfortable sharing past content that you have created previously which will be treated with the strictest confidence. Please allow up to 1 hour for this stage. Applications should be submitted via the advertising platform including your CV and covering letter. See attached role profile for recruitment timetable and further details about us/the role, including contact details for an informal chat, if required, before applying. Applicants are encouraged to ensure availability in line with the recruitment timetable in the attached job specification. While IA recognises the value of AI technology in the current climate, IA reserves the right to ignore applications where we have reason to believe that they have been wholly produced using generative AI tools. Please let us know if you require any additional support to attend or undertake an interview or if there is anything we should consider as part of the interview process
Mar 03, 2026
Full time
ABOUT THE ROLE We are looking for a creative and dynamic person with a proven track record in creating, delivering and managing digital content across social media platforms to develop, implement and manage strategies to grow our online presence and raise our profile. You ll have demonstrable experience across a wide range of social media platforms with the ability to craft engaging content to build a rapport with your audience while continuing to uphold our brand and professional values. You will be managing multiple accounts held by the charity. You will have experience of using third party management tools to create, plan and schedule content, analysing reach and engagement, and using analytical tools to help make informed decisions about our digital marketing strategies. You will regularly report back to the management team feeding into our wider strategy discussions, making recommendations on future campaigns. You will be part of a wider communications team, working alongside the PR & Communications Manager, reporting to one of the trustees, fostering an organisation-wide approach working with all colleagues to ensure a planned, structured and collaborative approach to our communications and marketing planning. As a small charity, flexibility is key to meet the needs of our shifting priorities and in between delivering and managing social media content your primary focus you will additionally support wider marketing activities with creation of digital content to support charity advertising, support the development of our online (web) content and more general activities across the communications team. While there will be some level of existing experience, training will be provided for anything bespoke. As part of the role, you will help our UK-based volunteers to develop local social media activities and support them as required. This may involve making recommendations in their approach, supporting content creation and upskilling them to gain confidence in using social media. The role is remote and the successful applicant can work from a location of their choice, making optimum use of video conferencing and online collaboration tools to connect with the wider communications team. Some UK travel within the role is expected with the charity reimbursing reasonable UK travel costs where agreed up front and on behalf of the charity. KEY RESPONSIBILITIES Own and lead social media execution, from planning through to delivery across multiple accounts and multiple platforms Develop content and strategy for new (to IA) and new-to-market platforms Develop and deliver relevant content that drives awareness, engagement and conversation in line with IA s aims and objectives Work closely with communications peers, wider staff and volunteers to deliver meaningful campaigns which aligns to IA s purpose and support model Upholding brand and culture in everything you do Co-develop policies relating to your area of responsibility to ensure the management of online risks, suitability to content, data protection and safeguarding Develop partnerships with key individuals, ensuring strong social amplification and storytelling Oversee social content calendars, asset production and approvals aligned to wider communications strategies Review and manage marketing assets, ensuring brand consistency and compliant content Adapt quickly to shifting priorities and confidently jump into new projects in a fast-moving environment Support with the development/management of wider digital content (web, digital advertising) prioritising the needs of the charity Monitoring all socials, reacting to/moderating follower engagement and questions as part of our wider support model Supporting volunteers with local branch social media engagement, advising on use, upholding IA s wider values and policies and monitoring content/engagement suggesting changes where relevant Management reporting on social media interactions, successes, areas for development, improvements and making recommendations to the Management team/Board PERSON SPECIFICATION ESSENTIAL Experience in developing and implementing social media strategies and content in a similar role for at least 12 months A thorough working knowledge of a wide range of social media platforms Third-party applications to manage social media content across a range of platforms in addition to regular reporting and provision of management information to help the team make informed decisions to support the wider charity s wider digital marketing strategy. Development of engaging and creative digital content Experience in social media moderation Working with and maintaining effective stakeholder relationships including our trustees, staff, volunteers and external medical professionals Digital marketing experience Team player Familiarity with UK data protection regulation DESIRABLE Working knowledge of the Wordpress platform Advertising opportunities across social media to expand reach including cost models and budgetary management Basic understanding of AI and the benefits of using it within the not-for-profit sector Experience of working on sensitive content for people who have experienced acute and chronic illness, been through life changing surgery or those who may be feeling vulnerable or exposed at a difficult time Experience across the not-for-profit sector Experience of A/B testing SKILLS & QUALITIES Excellent communication and interpersonal skills Flexible, adaptable in approach, creative thinker Commitment to equity, diversity and inclusion APPLICATION PROCESS To apply, please submit: 1. Your CV (up to 3 pages) 2. A covering letter outlining your suitability to the role (max 500 words) Interviews will be two-stage for successful candidates. Initial interviews will be held via video conferencing (such as Zoom) discussing previous experience and role fit with successful candidates going through to a second round. This includes alignment to IA s values. Please allow up to 1 hour for this stage. Second round interviews are expected to be via video conference. Successful candidates will, at least one week in advance of the second round, be given a short brief and asked to provide sample content (or a clear idea of their marketing strategy) and share their ideas at least 48hrs before the interview. Candidates should be prepared to present their social media ideas at interview and answer any questions from the interview panel. Additionally second stage applicants will be asked to provide examples of their own previously created content, at least 48hrs prior to the interview. You should be comfortable sharing past content that you have created previously which will be treated with the strictest confidence. Please allow up to 1 hour for this stage. Applications should be submitted via the advertising platform including your CV and covering letter. See attached role profile for recruitment timetable and further details about us/the role, including contact details for an informal chat, if required, before applying. Applicants are encouraged to ensure availability in line with the recruitment timetable in the attached job specification. While IA recognises the value of AI technology in the current climate, IA reserves the right to ignore applications where we have reason to believe that they have been wholly produced using generative AI tools. Please let us know if you require any additional support to attend or undertake an interview or if there is anything we should consider as part of the interview process
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 03, 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 03, 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 03, 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.
Roc Search Europe Limited
Bristol, Gloucestershire
Direct Procurement / Strategic Sourcing Manager Location: Bristol The Role We are seeking an experienced Direct Procurement / Strategic Sourcing professional to lead the sourcing and purchasing of retail furniture for large-scale rollout programmes. This role is heavily focused on global sourcing, supplier negotiation, and cost competitiveness , with full autonomy to source from international markets to achieve best-in-class commercial outcomes. You will play a critical role in securing competitive pricing, ensuring supply continuity, and handing over robust procurement strategies to production teams to enable successful project delivery. Key Responsibilities Lead end-to-end direct procurement activities, from supplier identification through RFQ, evaluation, and contract award Source, assess, and onboard domestic and international manufacturing partners to optimise cost, quality, and lead times Manage RFQs, cost breakdowns, and comparative analyses to support data-driven sourcing decisions Lead commercial negotiations to secure competitive pricing, payment terms, and contractual conditions Develop sourcing strategies aligned to rollout schedules, volumes, and budget targets Present and hand over procurement strategies to production and project teams Act as the primary commercial contact for key suppliers and manufacturers Collaborate with design, quality, logistics, and project delivery teams to ensure solutions meet technical, aesthetic, and functional requirements Monitor market trends, raw material pricing, and global manufacturing conditions to identify cost-saving and risk-mitigation opportunities Audit and manage supplier compliance across quality, sustainability, and ethical sourcing standards Drive continuous improvement initiatives across cost reduction, lead-time optimisation, and supplier performance Knowledge & Skills Strong understanding of manufacturing methods, production capability, and cost structures Experience in value engineering and cost optimisation Knowledge of domestic and international manufacturing landscapes Ability to analyse complex cost data and select best-fit sourcing solutions Confident interpreting technical drawings and specifications Excellent communication, negotiation, and stakeholder management skills Manufacturing exposure across: Woodwork (solid surface, veneering, lamination) Metalwork (tube, sheet, folding, welding) Plastics (bending, vacuum forming, injection moulding) Print and glass Experience Substantial experience in procurement, buying, and supplier negotiation Strong background in manufacturing or production-led environments Proven experience evaluating multiple tenders and cost models Ideally experience within retail furniture production or a closely related sector International sourcing experience preferred but not essential
Mar 03, 2026
Full time
Direct Procurement / Strategic Sourcing Manager Location: Bristol The Role We are seeking an experienced Direct Procurement / Strategic Sourcing professional to lead the sourcing and purchasing of retail furniture for large-scale rollout programmes. This role is heavily focused on global sourcing, supplier negotiation, and cost competitiveness , with full autonomy to source from international markets to achieve best-in-class commercial outcomes. You will play a critical role in securing competitive pricing, ensuring supply continuity, and handing over robust procurement strategies to production teams to enable successful project delivery. Key Responsibilities Lead end-to-end direct procurement activities, from supplier identification through RFQ, evaluation, and contract award Source, assess, and onboard domestic and international manufacturing partners to optimise cost, quality, and lead times Manage RFQs, cost breakdowns, and comparative analyses to support data-driven sourcing decisions Lead commercial negotiations to secure competitive pricing, payment terms, and contractual conditions Develop sourcing strategies aligned to rollout schedules, volumes, and budget targets Present and hand over procurement strategies to production and project teams Act as the primary commercial contact for key suppliers and manufacturers Collaborate with design, quality, logistics, and project delivery teams to ensure solutions meet technical, aesthetic, and functional requirements Monitor market trends, raw material pricing, and global manufacturing conditions to identify cost-saving and risk-mitigation opportunities Audit and manage supplier compliance across quality, sustainability, and ethical sourcing standards Drive continuous improvement initiatives across cost reduction, lead-time optimisation, and supplier performance Knowledge & Skills Strong understanding of manufacturing methods, production capability, and cost structures Experience in value engineering and cost optimisation Knowledge of domestic and international manufacturing landscapes Ability to analyse complex cost data and select best-fit sourcing solutions Confident interpreting technical drawings and specifications Excellent communication, negotiation, and stakeholder management skills Manufacturing exposure across: Woodwork (solid surface, veneering, lamination) Metalwork (tube, sheet, folding, welding) Plastics (bending, vacuum forming, injection moulding) Print and glass Experience Substantial experience in procurement, buying, and supplier negotiation Strong background in manufacturing or production-led environments Proven experience evaluating multiple tenders and cost models Ideally experience within retail furniture production or a closely related sector International sourcing experience preferred but not essential
JOB TITLE: Hotel Department Administrator DEPARTMENT: Hotels REPORTS TO: Optimisation and L&D Manager Business Context: With offices across the continent and affiliates around the globe, VOSAIO brings a world of European travel solutions. We re the foremost specialists in the B2B travel sector and our unparalleled experience and market-leading service have driven significant sales growth in recent years. Allied to our buying power, our corporate expertise has enabled us to partner with the very best local suppliers at destinations throughout Europe. The Role: The Hotel Department Administrator provides administrative support to the Hotel Purchasing Specialist team and management, assisting with the coordination of hotel bookings and supplier communications. The role involves managing confirmations, amendments, deadlines, and documentation, while ensuring accurate records and effective day-to-day support of the hotel department function. We are ideally seeking a UK-based candidate who can commute to our Hammersmith headquarters (with a hybrid working arrangement available following probation), and who demonstrates strong attention to detail, a willingness to learn, and a collaborative, team-focused approach. Key Responsibilities: Monitor and follow up on outstanding supplier responses in a timely manner, including deadline extensions, booking confirmations and cancellations, rooming list amendments, special requests, and proforma invoices. Liaise with suppliers via email and telephone in line with sales requirements. Screen, process, and accurately archive all supplier responses and documentation. Request and follow up on information relating to visa letters, as required. Monitor outstanding pre-payments and deposits, and liaise with both the Sales team and suppliers to ensure timely resolution. Confirm bookings, ensuring all terms and conditions are agreed prior to finalisation. Produce daily reports on expiring option deadlines. Assist with the creation and setup of new products. Undertake ad hoc administrative duties to support the wider team. Person Profile: Fluency in English, both written and spoken, is essential. Demonstrated ability to collaborate effectively in a team-based environment. Strong organisational and time management skills. Excellent attention to detail. Additional European language skills are essential. What you can expect: A competitive salary, commensurate with experience. A friendly, supportive team and a positive working environment. A modern London office designed to support collaboration and productivity. Hybrid working arrangements available following successful completion of a 3-month probation period. Comprehensive training and ongoing support to help you succeed in the role.
Mar 03, 2026
Full time
JOB TITLE: Hotel Department Administrator DEPARTMENT: Hotels REPORTS TO: Optimisation and L&D Manager Business Context: With offices across the continent and affiliates around the globe, VOSAIO brings a world of European travel solutions. We re the foremost specialists in the B2B travel sector and our unparalleled experience and market-leading service have driven significant sales growth in recent years. Allied to our buying power, our corporate expertise has enabled us to partner with the very best local suppliers at destinations throughout Europe. The Role: The Hotel Department Administrator provides administrative support to the Hotel Purchasing Specialist team and management, assisting with the coordination of hotel bookings and supplier communications. The role involves managing confirmations, amendments, deadlines, and documentation, while ensuring accurate records and effective day-to-day support of the hotel department function. We are ideally seeking a UK-based candidate who can commute to our Hammersmith headquarters (with a hybrid working arrangement available following probation), and who demonstrates strong attention to detail, a willingness to learn, and a collaborative, team-focused approach. Key Responsibilities: Monitor and follow up on outstanding supplier responses in a timely manner, including deadline extensions, booking confirmations and cancellations, rooming list amendments, special requests, and proforma invoices. Liaise with suppliers via email and telephone in line with sales requirements. Screen, process, and accurately archive all supplier responses and documentation. Request and follow up on information relating to visa letters, as required. Monitor outstanding pre-payments and deposits, and liaise with both the Sales team and suppliers to ensure timely resolution. Confirm bookings, ensuring all terms and conditions are agreed prior to finalisation. Produce daily reports on expiring option deadlines. Assist with the creation and setup of new products. Undertake ad hoc administrative duties to support the wider team. Person Profile: Fluency in English, both written and spoken, is essential. Demonstrated ability to collaborate effectively in a team-based environment. Strong organisational and time management skills. Excellent attention to detail. Additional European language skills are essential. What you can expect: A competitive salary, commensurate with experience. A friendly, supportive team and a positive working environment. A modern London office designed to support collaboration and productivity. Hybrid working arrangements available following successful completion of a 3-month probation period. Comprehensive training and ongoing support to help you succeed in the role.
Technical Solution Architect - Hybrid (UK) Permanent Full-time Competitive Salary A leading UK organisation is seeking a Technical Solution Architect to help shape, design, and deliver enterprise-grade digital solutions across a modern Microsoft-centric technology landscape. This role is ideal for someone who enjoys owning solution architecture end-to-end, collaborating with a wide range of stakeholders, and influencing the future direction of digital platforms. About the Role As a Technical Solution Architect, you will translate complex business needs into robust, scalable, secure technical designs. You will oversee architectural definition across digital applications, with a strong emphasis on Microsoft Dynamics 365 (CE/CRM & FinOps), Azure, and the Power Platform. You'll work across impact assessments, design, and delivery activities-guiding development teams, producing high-quality technical documentation, and ensuring solutions conform to architectural standards. The role also includes supporting BAU operations, participating in roadmap conversations, and contributing to long-term digital strategy. Key Responsibilities Design and document end-to-end solution architectures across Microsoft and digital platforms. Translate user stories and business requirements into solution designs, data flows, mock-ups, and technical documentation. Define integration patterns using Azure Logic Apps, Functions, Dataverse, and related services. Architect solutions across the Power Platform (Power Apps, Power Automate, Power BI). Support Agile delivery teams by contributing to timelines, technical decomposition, and solution assurance. Conduct technical design reviews to ensure alignment with enterprise standards and compliance. Collaborate with product managers, business analysts, developers, and testers throughout the delivery lifecycle. Lead technical workshops and present architectural options to stakeholders. Stay up to date with Microsoft's roadmap and recommend adoption of new capabilities. Support ongoing operations with architectural guidance, performance optimisation, and issue resolution. Skills & Experience Strong expertise with Microsoft Azure (Logic Apps, Functions, API Management, DevOps). Practical experience designing solutions for Dynamics 365 CE/CRM and D365 Finance & Operations. Knowledge of Power Platform governance and architectural patterns. Proficiency in C#, .NET, JavaScript, and SQL Server. Strong understanding of CRM/ERP processes, ideally in regulated industries. Experience with data migration, integration patterns, and legacy modernisation. Excellent communication and stakeholder engagement skills. Strong documentation capability, including solution designs and technical specifications. Familiarity with Agile and DevOps delivery approaches. Ability to produce wireframes, user flows, and mock-ups to support solution clarity. What We're Looking For A detail-driven, collaborative architect who can balance short-term delivery needs with long-term architectural vision-bringing both strong technical depth and clear communication to help drive meaningful digital transformation. JBRP1_UKTJ
Mar 03, 2026
Full time
Technical Solution Architect - Hybrid (UK) Permanent Full-time Competitive Salary A leading UK organisation is seeking a Technical Solution Architect to help shape, design, and deliver enterprise-grade digital solutions across a modern Microsoft-centric technology landscape. This role is ideal for someone who enjoys owning solution architecture end-to-end, collaborating with a wide range of stakeholders, and influencing the future direction of digital platforms. About the Role As a Technical Solution Architect, you will translate complex business needs into robust, scalable, secure technical designs. You will oversee architectural definition across digital applications, with a strong emphasis on Microsoft Dynamics 365 (CE/CRM & FinOps), Azure, and the Power Platform. You'll work across impact assessments, design, and delivery activities-guiding development teams, producing high-quality technical documentation, and ensuring solutions conform to architectural standards. The role also includes supporting BAU operations, participating in roadmap conversations, and contributing to long-term digital strategy. Key Responsibilities Design and document end-to-end solution architectures across Microsoft and digital platforms. Translate user stories and business requirements into solution designs, data flows, mock-ups, and technical documentation. Define integration patterns using Azure Logic Apps, Functions, Dataverse, and related services. Architect solutions across the Power Platform (Power Apps, Power Automate, Power BI). Support Agile delivery teams by contributing to timelines, technical decomposition, and solution assurance. Conduct technical design reviews to ensure alignment with enterprise standards and compliance. Collaborate with product managers, business analysts, developers, and testers throughout the delivery lifecycle. Lead technical workshops and present architectural options to stakeholders. Stay up to date with Microsoft's roadmap and recommend adoption of new capabilities. Support ongoing operations with architectural guidance, performance optimisation, and issue resolution. Skills & Experience Strong expertise with Microsoft Azure (Logic Apps, Functions, API Management, DevOps). Practical experience designing solutions for Dynamics 365 CE/CRM and D365 Finance & Operations. Knowledge of Power Platform governance and architectural patterns. Proficiency in C#, .NET, JavaScript, and SQL Server. Strong understanding of CRM/ERP processes, ideally in regulated industries. Experience with data migration, integration patterns, and legacy modernisation. Excellent communication and stakeholder engagement skills. Strong documentation capability, including solution designs and technical specifications. Familiarity with Agile and DevOps delivery approaches. Ability to produce wireframes, user flows, and mock-ups to support solution clarity. What We're Looking For A detail-driven, collaborative architect who can balance short-term delivery needs with long-term architectural vision-bringing both strong technical depth and clear communication to help drive meaningful digital transformation. JBRP1_UKTJ
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 2026
Full time
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 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 03, 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.
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 2026
Full time
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 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 03, 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.
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 2026
Full time
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 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.
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 2026
Full time
Location for this position is flexible, we are accepting candidates who are able to work Hybrid in either our Osterley or Leeds office. Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. As a Design System Design Manager in our digital customer experience team, you'll own the creation of world-class customer experiences and deliver transformative solutions across and the My Sky app via our design system. You'll lead Agile teams, drive design strategy, and be accountable for outcomes that reflect our brand and meet customer needs. Sitting within the Customer Experience Centre of Excellence, you'll support CX strategy, design excellence, and performance across product roadmaps for the UK & Ireland. From joining Sky to engaging with our latest services, we're driven by one purpose: to create better experiences for our customers. What you'll do: Lead a small team of product designers to deliver world-class, innovative, and intuitive evidence-based user experiences across web and native platforms. Own the Sky design system strategic direction, ensuring scalability, governance, and alignment with product strategy and business goals. Partner with engineering, product, research, and analytics to ensure system usability, performance, and brand consistency across platforms. Be responsible for system architecture, tokenisation, documentation quality, and design-engineering parity, while using AI tools and engaging with Design Ops to improve efficiency. Champion inclusive design and embed WCAG 2.2 accessibility standards across all components, patterns, and motion principles. Shape the end-to-end experience vision, define CX KPIs, and link design system adoption to measurable business outcomes. What you'll bring: Demonstrated experience delivering world-class, large-scale digital products and design systems across responsive web and native applications. Expert-level skills with component libraries, token structures, and conditional prototyping for scalable systems. Mastery in accessibility to create inclusive experiences, using user research methods to understand customer problems and behaviours, and analytics tools (Usertesting, Adobe Analytics) to interpret user behaviour and analyse performance Proven experience partnering with developers on component implementation, governance pipelines, and code alignment. Strong storytelling, stakeholder influence, and resilience in fast-paced, evolving environments. We'd love to see examples of your work. If you have a portfolio, or any selection of project artefacts, please share pieces that demonstrate your strengths in the following areas: People - How you've built, supported, or enabled high-performing teams. Process - How you apply scalable user-centred design methods to deliver measurable outcomes. Position - How you influence strategy and champion design across an organisation. Product - How your work has shaped world-class, app-first digital experiences, with clear outcomes and impact If you don't have a formal portfolio, don't worry links, slide decks, case studies or short write-ups are all welcome. Choose whatever best tells the story of your contribution. But we do need to understand the process, the user needs, business goals, design changes based on evidence gathered, and customer outcomes & business impact. 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 How you'll work The hybrid working expectations for this role are 3 days in the office per week. At Sky, we want to be a community that thrives by being together. Flexible working remains a key part of that. We want our people to have the best of both worlds - time working at home, as well as time in the office. Your office base - London (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. - OR Leeds Our spacious Leeds tech hub is less than a mile from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. Need a break? You can blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search on social media. A job you love to talk about. 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 03, 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.
