Uxbridge - Office Based About the role: In order to meet our sales aspirations in the UK, it is vital that we create Customer Experience that exceeds the expectations of our customers and delivers on the brand promises of both BYD and DENZA. Reporting to the UK Head of Customer Experience, this role will be responsible for designing and delivering an industry leading Customer Journey from first contact with the brand through to repurchase. Main Tasks and Responsibilities: Work with the Marketing and Product teams to ensure that our online journey allows customers to complete the research phase and transition smoothly to a sales enquiry. Develop processes and resources to manage customer contact with the brands in the early stages of their purchase journey, and effective nurture where appropriate, to maximise sales enquiry leads. Ensure Lead Generation processes are effective and work with our Retail and Fleet sales teams to ensure effective Lead Management processes are in place. Manage the Community Operations Team to develop and maintain an industry leading community experience, enhancing the ownership experience, increasing referral sales and ensuring renewal sales. Use Community to conduct customer research and provide feedback to guide future product development and improvement. Take responsibility for improving Customer Experience and Quality KPIs, including NPS, Mystery Shop and Sales Standards Audits. Work with the Sales Field Team and Sales Training team to ensure that results and analysis are used to create actions to drive performance. Work with both European and UK Customer Care team to ensure that customer issues are dealt with efficiently and in line with the Brand promise. Analyse the issues and feedback received from customers to ensure that R&D, Product, Aftersales and Sales Teams have actions in place to resolve at the root cause. Ideal Candidate profile: Minimum 10 years' management level experience working in Customer Experience or Customer Care roles. Excellent interpersonal, communication, and customer service skills. Ability to deal with Internal and External Stakeholders at all levels. Hands on experience with ERP and CRM systems and the effective management of customer data respecting GDPR legislation. Proficiency with MS Office Suite, particularly MS Excel. Analytical and multitasking skills. Ability to work well as part of a team but also be able to make decisions and complete tasks independently. Benefits Performance and experience based competitive remuneration. Scottish Widow workplace pension. 25 days paid holidays + public holidays. Department & company wide teambuilding events. An exciting opportunity to lead the European transition to Zero Emissions transportation and decarbonization of the economy.
Mar 04, 2026
Full time
Uxbridge - Office Based About the role: In order to meet our sales aspirations in the UK, it is vital that we create Customer Experience that exceeds the expectations of our customers and delivers on the brand promises of both BYD and DENZA. Reporting to the UK Head of Customer Experience, this role will be responsible for designing and delivering an industry leading Customer Journey from first contact with the brand through to repurchase. Main Tasks and Responsibilities: Work with the Marketing and Product teams to ensure that our online journey allows customers to complete the research phase and transition smoothly to a sales enquiry. Develop processes and resources to manage customer contact with the brands in the early stages of their purchase journey, and effective nurture where appropriate, to maximise sales enquiry leads. Ensure Lead Generation processes are effective and work with our Retail and Fleet sales teams to ensure effective Lead Management processes are in place. Manage the Community Operations Team to develop and maintain an industry leading community experience, enhancing the ownership experience, increasing referral sales and ensuring renewal sales. Use Community to conduct customer research and provide feedback to guide future product development and improvement. Take responsibility for improving Customer Experience and Quality KPIs, including NPS, Mystery Shop and Sales Standards Audits. Work with the Sales Field Team and Sales Training team to ensure that results and analysis are used to create actions to drive performance. Work with both European and UK Customer Care team to ensure that customer issues are dealt with efficiently and in line with the Brand promise. Analyse the issues and feedback received from customers to ensure that R&D, Product, Aftersales and Sales Teams have actions in place to resolve at the root cause. Ideal Candidate profile: Minimum 10 years' management level experience working in Customer Experience or Customer Care roles. Excellent interpersonal, communication, and customer service skills. Ability to deal with Internal and External Stakeholders at all levels. Hands on experience with ERP and CRM systems and the effective management of customer data respecting GDPR legislation. Proficiency with MS Office Suite, particularly MS Excel. Analytical and multitasking skills. Ability to work well as part of a team but also be able to make decisions and complete tasks independently. Benefits Performance and experience based competitive remuneration. Scottish Widow workplace pension. 25 days paid holidays + public holidays. Department & company wide teambuilding events. An exciting opportunity to lead the European transition to Zero Emissions transportation and decarbonization of the economy.
INFRASTRUCTURE SUPPORT ANALYST Based in the NEU Head Office (London, WC1H 9BD) Full-time, permanent Commencing salary £54,748 per annum The National Education Union is a powerful force for change in education, representing 500,000 teachers, lecturers, support staff, and leaders. As we undertake an extensive staffing review, this is an exciting time to join us on our journey to becoming a more agile, strategic, and powerfully coordinated trade union-ready to meet the challenges of the future and drive lasting change in education. We're seeking an experienced and skilled professional to provide day to day support for IT infrastructure and security functions. Reporting to the Infrastructure and Security Manager, this role leads new application and systems initiatives, including research, testing, documentation, and deployment to users as assigned. Responsibilities include overseeing policy objects and configuring infrastructure and security systems, as well as creating, testing, and deploying policy objects and system configurations to users or devices under the guidance of the Infrastructure Manager. The position also involves assisting with the implementation, installation, and ongoing maintenance of the Union's IT infrastructure, adhering to established procedures and best practices. In addition, the role supports security and backup processes for all cloud-based and on-premise data and devices, stays informed on emerging technologies, and contributes to technical evaluations as needed. Prospective applicants should hold a degree or equivalent further education. They must possess up-to-date knowledge of network, server, and security issues, along with associated core technologies and backup procedures. Experience in implementing or supporting WAN/LAN installations and configurations, including both hardware and software, is also required. Knowledge of Azure Management and PowerShell for automation and scripting desirable. In addition to salary, we offer good conditions including 33 days' annual leave plus Christmas closure days and a defined benefit pension scheme. Salary and benefits are pro-rata for part-time applicants. Further details can be downloaded from our website via the button below where applicants will be able to complete an online application on our recruitment portal. Closing date is mid-day 10 March 2026. We welcome applications from individuals seeking part-time, job-share or other flexible working arrangements. Please note:We reserve the right to close this position early if we receive a high volume of applications. THE UNION IS FUNDAMENTALLY COMMITTED TO EQUAL OPPORTUNITIES IN ITS POLICIES AND PRACTICE
Mar 04, 2026
Full time
INFRASTRUCTURE SUPPORT ANALYST Based in the NEU Head Office (London, WC1H 9BD) Full-time, permanent Commencing salary £54,748 per annum The National Education Union is a powerful force for change in education, representing 500,000 teachers, lecturers, support staff, and leaders. As we undertake an extensive staffing review, this is an exciting time to join us on our journey to becoming a more agile, strategic, and powerfully coordinated trade union-ready to meet the challenges of the future and drive lasting change in education. We're seeking an experienced and skilled professional to provide day to day support for IT infrastructure and security functions. Reporting to the Infrastructure and Security Manager, this role leads new application and systems initiatives, including research, testing, documentation, and deployment to users as assigned. Responsibilities include overseeing policy objects and configuring infrastructure and security systems, as well as creating, testing, and deploying policy objects and system configurations to users or devices under the guidance of the Infrastructure Manager. The position also involves assisting with the implementation, installation, and ongoing maintenance of the Union's IT infrastructure, adhering to established procedures and best practices. In addition, the role supports security and backup processes for all cloud-based and on-premise data and devices, stays informed on emerging technologies, and contributes to technical evaluations as needed. Prospective applicants should hold a degree or equivalent further education. They must possess up-to-date knowledge of network, server, and security issues, along with associated core technologies and backup procedures. Experience in implementing or supporting WAN/LAN installations and configurations, including both hardware and software, is also required. Knowledge of Azure Management and PowerShell for automation and scripting desirable. In addition to salary, we offer good conditions including 33 days' annual leave plus Christmas closure days and a defined benefit pension scheme. Salary and benefits are pro-rata for part-time applicants. Further details can be downloaded from our website via the button below where applicants will be able to complete an online application on our recruitment portal. Closing date is mid-day 10 March 2026. We welcome applications from individuals seeking part-time, job-share or other flexible working arrangements. Please note:We reserve the right to close this position early if we receive a high volume of applications. THE UNION IS FUNDAMENTALLY COMMITTED TO EQUAL OPPORTUNITIES IN ITS POLICIES AND PRACTICE
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 04, 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.
About the team The Policy team is a small, collaborative and collegiate team looking to expand. We have a unique set-up, sitting separately to but working closely alongside the Communications team as part of the wider Public Affairs team. We influence key decision makers through direct engagement with senior officials, commissioning and sharing research and insight and supporting coalitions which include our portfolio charities to take their voice to decision makers to secure policy and funding commitments. The team also works across the organisation, presenting insight to inform our investment decisions and making a compelling case to generate new financial commitments for our work. About this role The Research and Evidence Officer is a new and exciting role at Impetus, an organisation at the forefront of youth policy. Impetus is evidence led and impact focused and we take this approach to our policy and public affairs activity. The successful candidate will provide the robust data and insights needed to help us build a better understanding of young people's experiences across education and employment, support colleagues by providing accurate data, analysis and insight that informs policy development and communication designed to improve their outcomes, and support the team to create compelling cases for change tailored to a range of audiences. They will be line managed by the Head of Education Policy but work across both employment and education policy domains. We are a busy team doing interesting and exciting work. Day-to-day you might be extracting insights from government published data, providing evidence for a policy briefing, drafting a report for a policy audience, or working with colleagues from across the team to communicate research findings in impactful ways, following agreed templates, processes and quality standards, and seeking clarification where needed. We are looking for someone with a commitment to supporting young people from disadvantaged backgrounds to get the support they need for a fulfilling life, whatever that means to them. You will have good knowledge of quantitative and qualitative research methods, have the skills required to analyse a range of data sets, including confidence applying quantitative research methods to conduct primary and secondary analysis of large and complex datasets, and the ability to present research findings clearly. This is an exciting time to join a rapidly growing organisation. We work on tackling the barriers that hold back young people from disadvantaged backgrounds including reducing the numbers losing learning though absence and exclusion, improving GCSE attainment in English and maths and ensuring youth employment provision reaches those furthest away from work. Your contribution to this work will have a tangible impact on these and other areas. We are keen to see a demonstrated commitment to equity, diversity and inclusion (EDI), and interested to hear how you have led or supported any initiatives or projects relating to this. We welcome application from underrepresented groups, particularly those who were eligible for free school meals as children. If you would like to chat about the role, please find the link on the recruitment pack. Key responsibilities: Monitor monthly data releases and new research published across our areas of interest and record relevant information accurately following agreed templates and systems Use quantitative and qualitative research skills to support and contribute to the delivery of a range of research projects and reviews, conduct data analysis, and generate robust evidence across relevant policy areas and portfolio partner activity Translate complex data accurately into accessible reports, briefings, summaries, papers, presentations, and other content ensuring accuracy, clarity and adherence to organisational templates and approval processes Use research findings to provide accurate evidence and summaries that support colleagues in developing policy positions, evaluating proposals, and proposing evidence-based solutions Prepare accurate briefing materials and background notes to support senior colleagues on relevant policy areas ahead of meetings and events (speaking events, roundtables, and senior-level stakeholder meetings) Collaborate with the Communications team to develop content for external priority audiences to maintain and grow the profile of policy work, by preparing draft summaries, data points and visuals in line with agreed templates and style guides Support the policy team in gathering, organising, summarising and using evidence from portfolio partners Support internal team processes by monitoring an allocated set of information sources, providing content for internal and external newsletters, ensuring information management systems are kept up to date and accurate (e.g. briefing packs, team calendar) Contributing to a collaborative and inclusive team culture Support the Heads of Policy to build and maintain relationships with researchers, academics, and the education sector by writing briefings, maintaining a contact database, and representing Impetus' interests at events Collaborate with peers to meet deadlines and deliver results, ask for clarification when needed, share information promptly, and work cooperatively to meet deadlines. Person specification Essential : A strong commitment to improving outcomes for young people from disadvantaged backgrounds, and an understanding of the barriers they face across education and employment Good knowledge of quantitative and qualitative research methods, and how these can be applied to policy and practice Ability to support the development of research tools including surveys, interview guides, and tailored data collection plans Experience of analysing data and evidence (quantitative and qualitative), including working with large or complex datasets ensuring accuracy and following agreed guidance Experience using statistical or data analysis tools (e.g. Excel, R, Stata, SPSS, or similar) Ability to interpret research findings and translate complex data into clear, accessible outputs to improve clarity for non-technical audiences (e.g. briefings, reports, presentations) Strong written communication skills, with the ability to draft clear, accurate, and well-structured content for policy or public audiences which are in line with agreed templates and processes Ability to gather and summarise evidence that supports colleagues in developing policy positions and decision-making Good organisational skills, with the ability to manage multiple tasks, meet deadlines, and work across different projects simultaneously. Able to follow established processes, manage own tasks, and maintain accurate records A commitment to working with collaboratively with colleagues from diverse backgrounds, and to contribute positively to a team-based working culture A commitment to Impetus' mission A commitment to equality, diversity and inclusion Desirable : Experience working in a policy, university or research environment, think tank, charity, or public sector environment An interest in education and/or employment policy and the use of evidence to drive systemic change and a willingness to build understanding Knowledge of the UK government and policy-making process, including the roles of departments, Parliament, and external stakeholders, and how research and evidence contribute to policy development and decision-making About Impetus At Impetus, our focus is on helping young people achieve positive education and employment outcomes to increase their chance of leading fulfilling and successful lives, irrespective of their background. We tackle the three most difficult challenges that affect a young person's ability to succeed in life in Britain today: Lost learning through absence, suspensions, exclusions from school Stagnation in education attainment outcomes, which means many are missing out on key qualifications like GCSE English and maths The large numbers of young people out of education, training and employment We use our deep expertise and high calibre networks to give the best non-profits working in these sectors the essential ingredients to have a real and lasting impact on the young people they serve. Through a powerful combination of long-term funding, direct capacity building support from our experienced team and our pro bono partners, alongside research and policy influencing to drive lasting systems change, we work towards a society where all young people can thrive in school, pass their exams and unlock the doors to sustained employment, for a fulfilling life. We are resolutely focused on outcomes and impact, driven by quality evidence. You would be joining a team that is passionate, rigorous, determined, creative and warm. We care deeply for our colleagues, our portfolio partners and the young people we serve. Impetus is a registered charity and our charity number is . Our Values In 2022 the Impetus staff agreed the following set of Values to act as our guiding principles as an organisation and help us to remain focused on achieving our mission to support young people from disadvantaged backgrounds. We are brave and curious We are bold and brave in our pursuit of better outcomes for young people . click apply for full job details
Mar 04, 2026
Full time
About the team The Policy team is a small, collaborative and collegiate team looking to expand. We have a unique set-up, sitting separately to but working closely alongside the Communications team as part of the wider Public Affairs team. We influence key decision makers through direct engagement with senior officials, commissioning and sharing research and insight and supporting coalitions which include our portfolio charities to take their voice to decision makers to secure policy and funding commitments. The team also works across the organisation, presenting insight to inform our investment decisions and making a compelling case to generate new financial commitments for our work. About this role The Research and Evidence Officer is a new and exciting role at Impetus, an organisation at the forefront of youth policy. Impetus is evidence led and impact focused and we take this approach to our policy and public affairs activity. The successful candidate will provide the robust data and insights needed to help us build a better understanding of young people's experiences across education and employment, support colleagues by providing accurate data, analysis and insight that informs policy development and communication designed to improve their outcomes, and support the team to create compelling cases for change tailored to a range of audiences. They will be line managed by the Head of Education Policy but work across both employment and education policy domains. We are a busy team doing interesting and exciting work. Day-to-day you might be extracting insights from government published data, providing evidence for a policy briefing, drafting a report for a policy audience, or working with colleagues from across the team to communicate research findings in impactful ways, following agreed templates, processes and quality standards, and seeking clarification where needed. We are looking for someone with a commitment to supporting young people from disadvantaged backgrounds to get the support they need for a fulfilling life, whatever that means to them. You will have good knowledge of quantitative and qualitative research methods, have the skills required to analyse a range of data sets, including confidence applying quantitative research methods to conduct primary and secondary analysis of large and complex datasets, and the ability to present research findings clearly. This is an exciting time to join a rapidly growing organisation. We work on tackling the barriers that hold back young people from disadvantaged backgrounds including reducing the numbers losing learning though absence and exclusion, improving GCSE attainment in English and maths and ensuring youth employment provision reaches those furthest away from work. Your contribution to this work will have a tangible impact on these and other areas. We are keen to see a demonstrated commitment to equity, diversity and inclusion (EDI), and interested to hear how you have led or supported any initiatives or projects relating to this. We welcome application from underrepresented groups, particularly those who were eligible for free school meals as children. If you would like to chat about the role, please find the link on the recruitment pack. Key responsibilities: Monitor monthly data releases and new research published across our areas of interest and record relevant information accurately following agreed templates and systems Use quantitative and qualitative research skills to support and contribute to the delivery of a range of research projects and reviews, conduct data analysis, and generate robust evidence across relevant policy areas and portfolio partner activity Translate complex data accurately into accessible reports, briefings, summaries, papers, presentations, and other content ensuring accuracy, clarity and adherence to organisational templates and approval processes Use research findings to provide accurate evidence and summaries that support colleagues in developing policy positions, evaluating proposals, and proposing evidence-based solutions Prepare accurate briefing materials and background notes to support senior colleagues on relevant policy areas ahead of meetings and events (speaking events, roundtables, and senior-level stakeholder meetings) Collaborate with the Communications team to develop content for external priority audiences to maintain and grow the profile of policy work, by preparing draft summaries, data points and visuals in line with agreed templates and style guides Support the policy team in gathering, organising, summarising and using evidence from portfolio partners Support internal team processes by monitoring an allocated set of information sources, providing content for internal and external newsletters, ensuring information management systems are kept up to date and accurate (e.g. briefing packs, team calendar) Contributing to a collaborative and inclusive team culture Support the Heads of Policy to build and maintain relationships with researchers, academics, and the education sector by writing briefings, maintaining a contact database, and representing Impetus' interests at events Collaborate with peers to meet deadlines and deliver results, ask for clarification when needed, share information promptly, and work cooperatively to meet deadlines. Person specification Essential : A strong commitment to improving outcomes for young people from disadvantaged backgrounds, and an understanding of the barriers they face across education and employment Good knowledge of quantitative and qualitative research methods, and how these can be applied to policy and practice Ability to support the development of research tools including surveys, interview guides, and tailored data collection plans Experience of analysing data and evidence (quantitative and qualitative), including working with large or complex datasets ensuring accuracy and following agreed guidance Experience using statistical or data analysis tools (e.g. Excel, R, Stata, SPSS, or similar) Ability to interpret research findings and translate complex data into clear, accessible outputs to improve clarity for non-technical audiences (e.g. briefings, reports, presentations) Strong written communication skills, with the ability to draft clear, accurate, and well-structured content for policy or public audiences which are in line with agreed templates and processes Ability to gather and summarise evidence that supports colleagues in developing policy positions and decision-making Good organisational skills, with the ability to manage multiple tasks, meet deadlines, and work across different projects simultaneously. Able to follow established processes, manage own tasks, and maintain accurate records A commitment to working with collaboratively with colleagues from diverse backgrounds, and to contribute positively to a team-based working culture A commitment to Impetus' mission A commitment to equality, diversity and inclusion Desirable : Experience working in a policy, university or research environment, think tank, charity, or public sector environment An interest in education and/or employment policy and the use of evidence to drive systemic change and a willingness to build understanding Knowledge of the UK government and policy-making process, including the roles of departments, Parliament, and external stakeholders, and how research and evidence contribute to policy development and decision-making About Impetus At Impetus, our focus is on helping young people achieve positive education and employment outcomes to increase their chance of leading fulfilling and successful lives, irrespective of their background. We tackle the three most difficult challenges that affect a young person's ability to succeed in life in Britain today: Lost learning through absence, suspensions, exclusions from school Stagnation in education attainment outcomes, which means many are missing out on key qualifications like GCSE English and maths The large numbers of young people out of education, training and employment We use our deep expertise and high calibre networks to give the best non-profits working in these sectors the essential ingredients to have a real and lasting impact on the young people they serve. Through a powerful combination of long-term funding, direct capacity building support from our experienced team and our pro bono partners, alongside research and policy influencing to drive lasting systems change, we work towards a society where all young people can thrive in school, pass their exams and unlock the doors to sustained employment, for a fulfilling life. We are resolutely focused on outcomes and impact, driven by quality evidence. You would be joining a team that is passionate, rigorous, determined, creative and warm. We care deeply for our colleagues, our portfolio partners and the young people we serve. Impetus is a registered charity and our charity number is . Our Values In 2022 the Impetus staff agreed the following set of Values to act as our guiding principles as an organisation and help us to remain focused on achieving our mission to support young people from disadvantaged backgrounds. We are brave and curious We are bold and brave in our pursuit of better outcomes for young people . click apply for full job details
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Mar 04, 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 04, 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 04, 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 04, 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 04, 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.
The Royal Armouries is the United Kingdom's national museum of arms and armour and one of the most important collections of its type in the world, housed at its headquarters and flagship museum in Leeds, its historic home at the Tower of London, and the Victorian Fort Nelson in Hampshire. We have an exciting opportunity for an Assistant Curator of Arms & Armour to join the existing team. The position is fixed term for 2 years. Reporting to the Curator of Asian & African Collections. Hours: 36 hours 5 / 7 days nominally Monday to Friday. The role will predominantly office based in Leeds but some travel may be necessary. Your main duties will be adding to the publicly available stock of knowledge of the European Edged Weapons, European Armour and Asian & African collections through cataloguing, and promoting the subject through answering enquiries. You will also assist Curators and Keepers in the day-to-day management of the collections, provide collections access and assist with exhibitions and research. The ideal candidate will have a proven track record of working at museums and be passionate and knowledgeable about arms and armour. They will be an excellent team player who is accountable, open, thorough, adaptable and who possess initiative. Benefits: Access to the discounted bicycles via Bike2Work scheme Access to free EAP services via the (Employee Assistance Program) 27.5 days holiday plus Bank Holidays Generous company sick pay scheme Generous family friendly leave Access to discounted staff car parking 25% off staff shop 10% off food in on-site café (generous discounts on set meals, and reduce cost hot drinks) Pension scheme max employer contribution is 9% Access to free on-line learning Season ticket loan M-Card A Police Check/ Disclosure will be requested in the event of a successful application. Please refer to the job description for the level of check required. A criminal record would not necessarily be a bar to employment. Please note that all job offers are subject to the receipt of satisfactory references, DBS/Police checks and right to work documentation.
Mar 04, 2026
Full time
The Royal Armouries is the United Kingdom's national museum of arms and armour and one of the most important collections of its type in the world, housed at its headquarters and flagship museum in Leeds, its historic home at the Tower of London, and the Victorian Fort Nelson in Hampshire. We have an exciting opportunity for an Assistant Curator of Arms & Armour to join the existing team. The position is fixed term for 2 years. Reporting to the Curator of Asian & African Collections. Hours: 36 hours 5 / 7 days nominally Monday to Friday. The role will predominantly office based in Leeds but some travel may be necessary. Your main duties will be adding to the publicly available stock of knowledge of the European Edged Weapons, European Armour and Asian & African collections through cataloguing, and promoting the subject through answering enquiries. You will also assist Curators and Keepers in the day-to-day management of the collections, provide collections access and assist with exhibitions and research. The ideal candidate will have a proven track record of working at museums and be passionate and knowledgeable about arms and armour. They will be an excellent team player who is accountable, open, thorough, adaptable and who possess initiative. Benefits: Access to the discounted bicycles via Bike2Work scheme Access to free EAP services via the (Employee Assistance Program) 27.5 days holiday plus Bank Holidays Generous company sick pay scheme Generous family friendly leave Access to discounted staff car parking 25% off staff shop 10% off food in on-site café (generous discounts on set meals, and reduce cost hot drinks) Pension scheme max employer contribution is 9% Access to free on-line learning Season ticket loan M-Card A Police Check/ Disclosure will be requested in the event of a successful application. Please refer to the job description for the level of check required. A criminal record would not necessarily be a bar to employment. Please note that all job offers are subject to the receipt of satisfactory references, DBS/Police checks and right to work documentation.
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 04, 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 04, 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.
Chartered Association of Business Schools
City, London
Research Officer Salary: £37,670-£40,850 per annum, plus benefits Contract: Permanent, full-time Location: London (40 Queen Street, EC4R 1DD) with hybrid working Reports to: Head of Policy & Research Application closing date: 22:30 PM, Friday 22 March 2026 The Chartered Association of Business Schools is recruiting a Research Officer to deliver high-quality research, data analysis and policy outputs that support our thought leadership and lobbying work on behalf of UK business schools. Key responsibilities include: Analyse higher education datasets (e.g. HESA, NSS) to inform reports, dashboards and policy positions. Lead the design, administration and analysis of member surveys. Draft research reports, briefing papers and consultation responses. Support Research and International Committees and related working groups. Essential skills and experience: Experience in a research, policy or data analysis role. Strong quantitative and qualitative research expertise, including survey design. Proven ability to analyse complex datasets from multiple sources. Excellent written communication skills, including translating complex information into clear English. Experience producing research or policy papers for varied audiences. Strong project management skills and ability to meet tight deadlines. High level of IT proficiency (Excel, Word, PowerPoint, Outlook). Degree-level education (or equivalent) Knowledge of UK higher education and experience with HESA, Heidi Plus, Tableau or Power BI is desirable. For full details of the role, responsibilities and person specification, please refer to the Job Description. What we offer: A competitive salary, plus benefits Hybrid working (2 days per week in the office) 31 days annual leave plus bank holidays Attractive Employer non-contributory pension Life assurance Wellbeing support Season ticket loans, cycle-to-work scheme and eye care support A supportive, values-driven and collegiate working environment How to Apply Please send your CV of 2 pages and a covering letter (maximum one page) explaining how you meet the essential criteria in the job description by email via the button below. Deadline: 22:30 pm, Sunday 22 March 2026. The Chartered ABS is an equal opportunities employer committed to creating an inclusive and supportive working environment.
Mar 04, 2026
Full time
Research Officer Salary: £37,670-£40,850 per annum, plus benefits Contract: Permanent, full-time Location: London (40 Queen Street, EC4R 1DD) with hybrid working Reports to: Head of Policy & Research Application closing date: 22:30 PM, Friday 22 March 2026 The Chartered Association of Business Schools is recruiting a Research Officer to deliver high-quality research, data analysis and policy outputs that support our thought leadership and lobbying work on behalf of UK business schools. Key responsibilities include: Analyse higher education datasets (e.g. HESA, NSS) to inform reports, dashboards and policy positions. Lead the design, administration and analysis of member surveys. Draft research reports, briefing papers and consultation responses. Support Research and International Committees and related working groups. Essential skills and experience: Experience in a research, policy or data analysis role. Strong quantitative and qualitative research expertise, including survey design. Proven ability to analyse complex datasets from multiple sources. Excellent written communication skills, including translating complex information into clear English. Experience producing research or policy papers for varied audiences. Strong project management skills and ability to meet tight deadlines. High level of IT proficiency (Excel, Word, PowerPoint, Outlook). Degree-level education (or equivalent) Knowledge of UK higher education and experience with HESA, Heidi Plus, Tableau or Power BI is desirable. For full details of the role, responsibilities and person specification, please refer to the Job Description. What we offer: A competitive salary, plus benefits Hybrid working (2 days per week in the office) 31 days annual leave plus bank holidays Attractive Employer non-contributory pension Life assurance Wellbeing support Season ticket loans, cycle-to-work scheme and eye care support A supportive, values-driven and collegiate working environment How to Apply Please send your CV of 2 pages and a covering letter (maximum one page) explaining how you meet the essential criteria in the job description by email via the button below. Deadline: 22:30 pm, Sunday 22 March 2026. The Chartered ABS is an equal opportunities employer committed to creating an inclusive and supportive working environment.
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 04, 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 are looking for a Corporate Fundraiser to maximise revenue, and build/maintain strong relationships with existing partners, making the most of a strong pipeline of prospects. The ideal candidate will thrive when working autonomously and have excellent communication and negotiation skills with an interest in the arts and culture. This is a London hybrid role with a minimum of 3 days a week in the office. The Charity A proactive arts charity, passionate about creating exceptional artistic experiences as well as delivering inspiring outreach projects in the local community. You will be joining an exciting organisation, with warm and collaborative working culture. The Role Source headline sponsorships for events and community programmes. Identify, research and approach potential corporate prospects aligned with charitys mission and values including paid partnerships and in kind support. Manage the delivery of partnership agreements, identifying opportunities to deepen engagement and ensuring all partners receive the appropriate level of stewardship and recognition. Act as the main point of contact for existing corporate partners Coordinate and manage corporate partner events/hospitality. The Candidate Experience in corporate partnerships and sponsorships, ideally within the arts, culture, or non-profit sectors. Ability to create new leads and contacts with a creative approach to business income generation. Ability to work independently and as part of a team in a collaborative but independent environment Strong relationship-building and networking skills with the ability to engage with senior executives and provide high levels of customer care. IMPORTANT NOTE Our aim is to respond to all successful applications within 5 days. If you havent been contacted within 5 days your application has been unsuccessful, but we positively encourage you to apply for any other positions that you may see in the future. We apologise that we cannot contact everybody in person but thank you in advance for your interest. Third Solutions encourages applications from individuals of all ages & backgrounds. Appointment will be made on merit alone but candidates must be able to demonstrate their ability to work in the UK. Third Solutions acts as an employment agency for permanent recruitment & an employment business for temporary recruitment as defined by the Conduct of Employment Agencies & Employment Business Regulations 2003.
Mar 04, 2026
Full time
We are looking for a Corporate Fundraiser to maximise revenue, and build/maintain strong relationships with existing partners, making the most of a strong pipeline of prospects. The ideal candidate will thrive when working autonomously and have excellent communication and negotiation skills with an interest in the arts and culture. This is a London hybrid role with a minimum of 3 days a week in the office. The Charity A proactive arts charity, passionate about creating exceptional artistic experiences as well as delivering inspiring outreach projects in the local community. You will be joining an exciting organisation, with warm and collaborative working culture. The Role Source headline sponsorships for events and community programmes. Identify, research and approach potential corporate prospects aligned with charitys mission and values including paid partnerships and in kind support. Manage the delivery of partnership agreements, identifying opportunities to deepen engagement and ensuring all partners receive the appropriate level of stewardship and recognition. Act as the main point of contact for existing corporate partners Coordinate and manage corporate partner events/hospitality. The Candidate Experience in corporate partnerships and sponsorships, ideally within the arts, culture, or non-profit sectors. Ability to create new leads and contacts with a creative approach to business income generation. Ability to work independently and as part of a team in a collaborative but independent environment Strong relationship-building and networking skills with the ability to engage with senior executives and provide high levels of customer care. IMPORTANT NOTE Our aim is to respond to all successful applications within 5 days. If you havent been contacted within 5 days your application has been unsuccessful, but we positively encourage you to apply for any other positions that you may see in the future. We apologise that we cannot contact everybody in person but thank you in advance for your interest. Third Solutions encourages applications from individuals of all ages & backgrounds. Appointment will be made on merit alone but candidates must be able to demonstrate their ability to work in the UK. Third Solutions acts as an employment agency for permanent recruitment & an employment business for temporary recruitment as defined by the Conduct of Employment Agencies & Employment Business Regulations 2003.
Harris Hill are partnering up with a independent school based in South East London who are searching for a new Development and Alumnae Relations Officer. This role is fantastic as it offer a broad overview of high value fundraising. It is also brilliant for someone who is looking to step up within high value fundraising from an Assistant. You will be working with a small but mighty team, and have the ability to lead on some 5 figure and build relationships with alumni too. Job title: Development and Alumnae Relations Officer Location: SE London 4 days a week Grade and salary: £34,000 - £36,400 Hours: Flexible Contract type: Permanent Reporting to: Head of Development Responsibilities within this role will include: • Develop, implement and deliver the philanthropy fundraising plans, to achieve long-term income growth. • Accountable for achieving targets in line with the annual business plan. • Develop and implement individual cultivation and stewardship plans to motivate and ensure repeat support, including organising cultivation and stewardship events. • Research donors/funders and produce compelling asks, proposals and presentations in line with our objectives and their requirements and interests. To be considered for this role: • You will experience working with major donors or corporate partnerships or Trusts. • Ideally a brilliant relationship builder. • Can research and has experience of working on or bringing in 5 figure gifts+ • Perfect for someone in the Schools, Higher Education or the Arts and Heritage development space. If you would like to have a chat to learn more about this role and to receive a full job description please contact Hannah at Harris Hill on or call her on . The deadline is on the 18th March and will require a CV and Covering letter. As leading charity recruitment specialists and a certified B Corp , Harris Hill is committed to high and ever-improving standards of equitable and inclusive recruitment. We actively welcome applications from all sections of the community regardless of age, disability, gender, race, religion, sexuality and other protected characteristics.
Mar 04, 2026
Full time
Harris Hill are partnering up with a independent school based in South East London who are searching for a new Development and Alumnae Relations Officer. This role is fantastic as it offer a broad overview of high value fundraising. It is also brilliant for someone who is looking to step up within high value fundraising from an Assistant. You will be working with a small but mighty team, and have the ability to lead on some 5 figure and build relationships with alumni too. Job title: Development and Alumnae Relations Officer Location: SE London 4 days a week Grade and salary: £34,000 - £36,400 Hours: Flexible Contract type: Permanent Reporting to: Head of Development Responsibilities within this role will include: • Develop, implement and deliver the philanthropy fundraising plans, to achieve long-term income growth. • Accountable for achieving targets in line with the annual business plan. • Develop and implement individual cultivation and stewardship plans to motivate and ensure repeat support, including organising cultivation and stewardship events. • Research donors/funders and produce compelling asks, proposals and presentations in line with our objectives and their requirements and interests. To be considered for this role: • You will experience working with major donors or corporate partnerships or Trusts. • Ideally a brilliant relationship builder. • Can research and has experience of working on or bringing in 5 figure gifts+ • Perfect for someone in the Schools, Higher Education or the Arts and Heritage development space. If you would like to have a chat to learn more about this role and to receive a full job description please contact Hannah at Harris Hill on or call her on . The deadline is on the 18th March and will require a CV and Covering letter. As leading charity recruitment specialists and a certified B Corp , Harris Hill is committed to high and ever-improving standards of equitable and inclusive recruitment. We actively welcome applications from all sections of the community regardless of age, disability, gender, race, religion, sexuality and other protected characteristics.
Skilled Tractor Driver/Sprayer Operator - Fresh Produce Farming This role is not eligible for UK Visa Sponsorship - the successful applicant must have existing Right to Work in the UK. Are you an experienced and motivated Sprayer Operator with a passion for high-quality crop production and sustainable farming systems? Do you thrive working outdoors, operating modern application equipment, and maintaining high standards of compliance and record keeping? Are you looking to develop your career within a progressive fresh produce farming business? Location of the Job: Kent - Accommodation may be available - to be discussed Salary & Benefits Package: £40-43Kpa plus family accommodation Permanent, full-time position Flexible hours required during peak season Ongoing training and professional development supported Additional Information: This role would suit an experienced Tractor Driver / Sprayer Operator or Farm Machinery Operative with strong crop protection experience, attention to detail, and a proactive approach to machinery care and compliance. About the Company My client is a leading UK fresh produce farming business producing high-quality salad and herb crops for major retailers. The business is committed to sustainable crop production, environmental stewardship, and maintaining high technical and audit standards, supported by continued investment in people, technology, and infrastructure. Sprayer Operator - The Job Role Details You will be responsible for the safe, accurate, and timely application of crop protection products and fertilisers across salad and herb crops. You will also support wider farm operations including groundwork, machinery maintenance, and seasonal growing tasks. The role requires a strong focus on compliance, record keeping, and maintaining audit-ready standards across chemical storage, equipment, and farm systems. Key Responsibilities Accurate and timely application of fertilisers and crop protection products, including working outside normal hours when required due to weather conditions Maintain and update application records using farm recording systems Monitor and maintain adequate stock levels of chemicals and fertilisers, ensuring compliant storage Maintain chemical store cleanliness and audit readiness Clean, maintain, and ensure spraying and spreading equipment remains compliant and audit ready Maintain required NRoSO points and comply with environmental risk assessments Support research and trials of new application technologies Communicate crop or operational risks to the Farm Manager Support groundwork and growing operations, particularly at season start and finish Ensure full compliance with company Health & Safety and farm procedures Ideal Candidate Skills & Qualifications You will have / be: A skilled tractor driver with experience in crop protection spraying Strong attention to detail and commitment to quality standards Competent using farm recording or digital farm management systems Good communication skills and ability to work within a team Strong understanding of health, safety, and environmental compliance Desirable: Experience in fresh produce or intensive cropping systems Interest in application technology and innovation Qualifications PA1, PA2, PA4S, PA6 NRoSO Registered Working Hours Full-time Weather and seasonal demands may require flexibility and extended hours during peak periods How to Apply Please click on the 'apply now' button. As we are a specialist recruitment business within the Agricultural and Farming industry, we do require that ALL applicants must hold an NVQ Level 2, Scottish NVQ Level 2 or an equivalent qualification which is relevant and necessary for the job that you are applying for. The Industry (Key Words) Skilled Tractor Driver, Sprayer Operator, Crop Protection, Fresh Produce, Salad Crops, Farm Machinery, Agriculture Jobs, Pesticide Application, NRoSO, PA Certificates, Field Operations We thank all applicants who apply for this role. However, only those shortlisted for interview will be contacted. Rest assured your application will be handled in complete confidence and your personal details will not be shared with any third party without your prior consent. About Us Established in 2013, Agricultural and Farming Jobs provide expert recruitment, headhunting, and job advertising services across agriculture, horticulture, food and fresh produce, veterinary, animal health, agrochemicals, machinery, technical and engineering, and specialist education sectors across the UK and internationally. JBRP1_UKTJ
Mar 04, 2026
Full time
Skilled Tractor Driver/Sprayer Operator - Fresh Produce Farming This role is not eligible for UK Visa Sponsorship - the successful applicant must have existing Right to Work in the UK. Are you an experienced and motivated Sprayer Operator with a passion for high-quality crop production and sustainable farming systems? Do you thrive working outdoors, operating modern application equipment, and maintaining high standards of compliance and record keeping? Are you looking to develop your career within a progressive fresh produce farming business? Location of the Job: Kent - Accommodation may be available - to be discussed Salary & Benefits Package: £40-43Kpa plus family accommodation Permanent, full-time position Flexible hours required during peak season Ongoing training and professional development supported Additional Information: This role would suit an experienced Tractor Driver / Sprayer Operator or Farm Machinery Operative with strong crop protection experience, attention to detail, and a proactive approach to machinery care and compliance. About the Company My client is a leading UK fresh produce farming business producing high-quality salad and herb crops for major retailers. The business is committed to sustainable crop production, environmental stewardship, and maintaining high technical and audit standards, supported by continued investment in people, technology, and infrastructure. Sprayer Operator - The Job Role Details You will be responsible for the safe, accurate, and timely application of crop protection products and fertilisers across salad and herb crops. You will also support wider farm operations including groundwork, machinery maintenance, and seasonal growing tasks. The role requires a strong focus on compliance, record keeping, and maintaining audit-ready standards across chemical storage, equipment, and farm systems. Key Responsibilities Accurate and timely application of fertilisers and crop protection products, including working outside normal hours when required due to weather conditions Maintain and update application records using farm recording systems Monitor and maintain adequate stock levels of chemicals and fertilisers, ensuring compliant storage Maintain chemical store cleanliness and audit readiness Clean, maintain, and ensure spraying and spreading equipment remains compliant and audit ready Maintain required NRoSO points and comply with environmental risk assessments Support research and trials of new application technologies Communicate crop or operational risks to the Farm Manager Support groundwork and growing operations, particularly at season start and finish Ensure full compliance with company Health & Safety and farm procedures Ideal Candidate Skills & Qualifications You will have / be: A skilled tractor driver with experience in crop protection spraying Strong attention to detail and commitment to quality standards Competent using farm recording or digital farm management systems Good communication skills and ability to work within a team Strong understanding of health, safety, and environmental compliance Desirable: Experience in fresh produce or intensive cropping systems Interest in application technology and innovation Qualifications PA1, PA2, PA4S, PA6 NRoSO Registered Working Hours Full-time Weather and seasonal demands may require flexibility and extended hours during peak periods How to Apply Please click on the 'apply now' button. As we are a specialist recruitment business within the Agricultural and Farming industry, we do require that ALL applicants must hold an NVQ Level 2, Scottish NVQ Level 2 or an equivalent qualification which is relevant and necessary for the job that you are applying for. The Industry (Key Words) Skilled Tractor Driver, Sprayer Operator, Crop Protection, Fresh Produce, Salad Crops, Farm Machinery, Agriculture Jobs, Pesticide Application, NRoSO, PA Certificates, Field Operations We thank all applicants who apply for this role. However, only those shortlisted for interview will be contacted. Rest assured your application will be handled in complete confidence and your personal details will not be shared with any third party without your prior consent. About Us Established in 2013, Agricultural and Farming Jobs provide expert recruitment, headhunting, and job advertising services across agriculture, horticulture, food and fresh produce, veterinary, animal health, agrochemicals, machinery, technical and engineering, and specialist education sectors across the UK and internationally. JBRP1_UKTJ
Silver Stone Search and Selection Ltd
Slough, Berkshire
An opportunity to join an established and continuously growing food group working across highly innovative and recognisable brands. Due to their continued growth they now seek to recruit a driven Category Manager to work on a portfolio of major accounts. Office based Reporting to the Head of Category; You will take responsibility for developing and implementing category strategies and tactics across all channels and specifically key retail accounts You will have day to day exposure to the customers, and you will be tasked with supporting the commercial manager to help increase profitability through a very proactive approach. You will be responsible for driving growth through category management taking responsibility for ensuring that all internal & external market research information is analysed in detail at every level in order to identify opportunities Your experience; You will have gained experience either at an executive or Category manager level with a background gained in branded environments You will be able to demonstrate a strong commercial awareness combined with a proactive track record. With a minimum if a couple of years experience you will be enthused by the autonomy within this role combined with the level of customer contact and strategic influence you will have.
Mar 04, 2026
Full time
An opportunity to join an established and continuously growing food group working across highly innovative and recognisable brands. Due to their continued growth they now seek to recruit a driven Category Manager to work on a portfolio of major accounts. Office based Reporting to the Head of Category; You will take responsibility for developing and implementing category strategies and tactics across all channels and specifically key retail accounts You will have day to day exposure to the customers, and you will be tasked with supporting the commercial manager to help increase profitability through a very proactive approach. You will be responsible for driving growth through category management taking responsibility for ensuring that all internal & external market research information is analysed in detail at every level in order to identify opportunities Your experience; You will have gained experience either at an executive or Category manager level with a background gained in branded environments You will be able to demonstrate a strong commercial awareness combined with a proactive track record. With a minimum if a couple of years experience you will be enthused by the autonomy within this role combined with the level of customer contact and strategic influence you will have.
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 04, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Are you looking for an employer who can offer you opportunities for growth and development in your occupational therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider occupational therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist OT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a 'Great Place to Work' for the 6th year running? Does working 4 days a week with FULL pay sound like a dream?! It doesn't have to be! Have a better work/life balance and come and work for Outcomes First Group! Job Title: Occupational Therapist Location: Hillingdon Grange - Slough, SL3 7LR covering Upton Grange, Yiewsley Grange & Colne Grange (distance between sites is approx. 20 mins by car) Salary: Up to £53,200 FTE DOE plus £5000 Welcome Bonus (Welcome Bonus is payable as one payment of £2,500 after completion of one month and one further payment of £2,500 upon completion of your final probation period. T&C's Apply Hours: 37.5 hours per week Monday-Friday, 08:30am-16:30pm Contract: Permanent (Term time only, or flexibility around full-time contract can be discussed based on your personal circumstances) Essential: Full valid UK driving licence and access to own vehicle In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. About Outcomes First Group At Outcomes First Group, we believe every child has the ability to thrive when given access to a learning environment designed for their success. We exist to provide, champion and develop an exceptional education that is research-led and tailored around the abilities and aspirations of the individual - a commitment that shapes tomorrow's leaders, cultivates a lifelong love of learning and equips young minds to craft their own bright futures. At the heart of our philosophy lies a unique blend of tradition and innovation. We champion smaller class sizes, personalised learning plans and a curriculum that prepares students for success both in and beyond the classroom, evidenced in a 97% success rate in guiding our leavers into education, employment or training. As the largest and most accomplished organisation in our sector, we have the capability to invest in forward-thinking initiatives and resources based on the needs of the individual pupil, rather than the collective. This investment creates consistent and measurable results for our pupils and teams. Outcomes First Group operates a number of specialist education and care brands across the UK, including Blenheim Schools, each delivering tailored provision to meet the diverse needs of children and young people. To find out more about our segments and expert services, visit: The role: We are looking for an Occupational Therapist to join our in-house clinical team at Colne Grange School. Working collaboratively with the education team, you will deliver bespoke Occupational Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Occupational Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding an occupational therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for an Occupational Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Grange forms part of our Options Autism brand and is an independent specialist day school, supporting children and young people aged 3 - 14 Hillingdon Grange School Education - Options Autism For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: Recognised Occupational Therapy degree Valid and up to date HCPC Registration Registered member of RCOT Relevant experience in providing occupational therapy services within a similar setting is preferrable Previously engaged with people who are neurodivergent and/or experience learning difficulty and/or socio-emotional and mental health difficulties in any setting, being able to evidence transferrable skills Sound knowledge and clinical understanding of OT theory and its practical application to support independence Experience of multi-professional work with teams or services within the designated speciality preferred Ability to work independently, flexible and confident Clear and concise report writing skills Hold a full UK driving licence, with access to a car Interest in sensory integration or sensory-informed practice (SI practitioner training in progress or completed is preferrable, however not essential) Why work for us? Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options Benefits Your health and wellbeing are important to us, so you'll get an exceptional reward and flexible benefits package including: Life Assurance Pension scheme with options to increase your contributions Your Wellbeing Matters" - access to a wide range of first-class mental health support services and physical health checks You'll work 80% of your contractual hours for 100% of your pay, giving you more time to do the things that make you happy. 4DWW is subject to successful completion of probation and is not a contractual benefit Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support. A wide range of health, wellbeing, and insurance benefits 100's of discount options valid in the UK and abroad Cycle to Work Schemes Electric Car Purchase Scheme Critical illness cover £5000 Welcome Bonus (T&C's apply) At Outcomes First Group we are committed to the safeguarding and promoting the welfare of our pupils and young people. All successful applicants will be subject to social media checks and successful applicants to a fully enhanced DBS We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 305600
Mar 04, 2026
Full time
Are you looking for an employer who can offer you opportunities for growth and development in your occupational therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider occupational therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist OT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a 'Great Place to Work' for the 6th year running? Does working 4 days a week with FULL pay sound like a dream?! It doesn't have to be! Have a better work/life balance and come and work for Outcomes First Group! Job Title: Occupational Therapist Location: Hillingdon Grange - Slough, SL3 7LR covering Upton Grange, Yiewsley Grange & Colne Grange (distance between sites is approx. 20 mins by car) Salary: Up to £53,200 FTE DOE plus £5000 Welcome Bonus (Welcome Bonus is payable as one payment of £2,500 after completion of one month and one further payment of £2,500 upon completion of your final probation period. T&C's Apply Hours: 37.5 hours per week Monday-Friday, 08:30am-16:30pm Contract: Permanent (Term time only, or flexibility around full-time contract can be discussed based on your personal circumstances) Essential: Full valid UK driving licence and access to own vehicle In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. About Outcomes First Group At Outcomes First Group, we believe every child has the ability to thrive when given access to a learning environment designed for their success. We exist to provide, champion and develop an exceptional education that is research-led and tailored around the abilities and aspirations of the individual - a commitment that shapes tomorrow's leaders, cultivates a lifelong love of learning and equips young minds to craft their own bright futures. At the heart of our philosophy lies a unique blend of tradition and innovation. We champion smaller class sizes, personalised learning plans and a curriculum that prepares students for success both in and beyond the classroom, evidenced in a 97% success rate in guiding our leavers into education, employment or training. As the largest and most accomplished organisation in our sector, we have the capability to invest in forward-thinking initiatives and resources based on the needs of the individual pupil, rather than the collective. This investment creates consistent and measurable results for our pupils and teams. Outcomes First Group operates a number of specialist education and care brands across the UK, including Blenheim Schools, each delivering tailored provision to meet the diverse needs of children and young people. To find out more about our segments and expert services, visit: The role: We are looking for an Occupational Therapist to join our in-house clinical team at Colne Grange School. Working collaboratively with the education team, you will deliver bespoke Occupational Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Occupational Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding an occupational therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for an Occupational Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Grange forms part of our Options Autism brand and is an independent specialist day school, supporting children and young people aged 3 - 14 Hillingdon Grange School Education - Options Autism For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: Recognised Occupational Therapy degree Valid and up to date HCPC Registration Registered member of RCOT Relevant experience in providing occupational therapy services within a similar setting is preferrable Previously engaged with people who are neurodivergent and/or experience learning difficulty and/or socio-emotional and mental health difficulties in any setting, being able to evidence transferrable skills Sound knowledge and clinical understanding of OT theory and its practical application to support independence Experience of multi-professional work with teams or services within the designated speciality preferred Ability to work independently, flexible and confident Clear and concise report writing skills Hold a full UK driving licence, with access to a car Interest in sensory integration or sensory-informed practice (SI practitioner training in progress or completed is preferrable, however not essential) Why work for us? Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options Benefits Your health and wellbeing are important to us, so you'll get an exceptional reward and flexible benefits package including: Life Assurance Pension scheme with options to increase your contributions Your Wellbeing Matters" - access to a wide range of first-class mental health support services and physical health checks You'll work 80% of your contractual hours for 100% of your pay, giving you more time to do the things that make you happy. 4DWW is subject to successful completion of probation and is not a contractual benefit Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support. A wide range of health, wellbeing, and insurance benefits 100's of discount options valid in the UK and abroad Cycle to Work Schemes Electric Car Purchase Scheme Critical illness cover £5000 Welcome Bonus (T&C's apply) At Outcomes First Group we are committed to the safeguarding and promoting the welfare of our pupils and young people. All successful applicants will be subject to social media checks and successful applicants to a fully enhanced DBS We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 305600
