Facilities Administrator Near Bury St Edmunds (Office based) 12-month fixed term contract (Immediate start) Full-time, Monday to Friday From £31,519 per annum Purpose of this role To assist in leading the facilities team, who are responsible for the maintenance of buildings, associated equipment and services on a day-to-day basis. This role will be a key liaison for site services and manage the external contractors and sub-contractors, applying health, safety, environmental and quality standards as required. Your key responsibilities are: Assist in overseeing the facilities team who are responsible for the maintenance of buildings and associated equipment and services Respond to, escalate, record, and complete planned and reactive maintenance tasks Be a key liaison for site services and manage the external contractors and sub-contractors, applying health, safety, environment and quality standards Complete and stay current with all required SHEQ training and risk reporting Be proactive in highlighting and driving preventive measures and controls Assist the Group Facilities Manager to plan and coordinate all premises-based works activities, identify process improvements, review environmental targets and recommend cost saving opportunities Arrange for regular maintenance of equipment and internal systems (e.g. heating system, fire & intruder alarms) Maintain an updated record of maintenance of equipment and internal system and document processes Assist the Group Facilities Manager with longer term/larger scale projects such as office moves/ relocations and or significant refurbishment works Visit other premises as and when required to monitor/ review ongoing facilities activities Covering main Head Office reception and reception duties when required Any other duties as required by the business Provide general administrative support Experience/Knowledge: Previous facilities maintenance experience or equivalent Experience completing site inductions, Method Statements, Risk Assessments Experience of leading a team and projects Abilities/Skills: Be adaptable to any situation in a calm and collected manner Strong understanding of Microsoft Office & Excel Desirable: Basic health and safety knowledge PowerPoint
May 11, 2026
Full time
Facilities Administrator Near Bury St Edmunds (Office based) 12-month fixed term contract (Immediate start) Full-time, Monday to Friday From £31,519 per annum Purpose of this role To assist in leading the facilities team, who are responsible for the maintenance of buildings, associated equipment and services on a day-to-day basis. This role will be a key liaison for site services and manage the external contractors and sub-contractors, applying health, safety, environmental and quality standards as required. Your key responsibilities are: Assist in overseeing the facilities team who are responsible for the maintenance of buildings and associated equipment and services Respond to, escalate, record, and complete planned and reactive maintenance tasks Be a key liaison for site services and manage the external contractors and sub-contractors, applying health, safety, environment and quality standards Complete and stay current with all required SHEQ training and risk reporting Be proactive in highlighting and driving preventive measures and controls Assist the Group Facilities Manager to plan and coordinate all premises-based works activities, identify process improvements, review environmental targets and recommend cost saving opportunities Arrange for regular maintenance of equipment and internal systems (e.g. heating system, fire & intruder alarms) Maintain an updated record of maintenance of equipment and internal system and document processes Assist the Group Facilities Manager with longer term/larger scale projects such as office moves/ relocations and or significant refurbishment works Visit other premises as and when required to monitor/ review ongoing facilities activities Covering main Head Office reception and reception duties when required Any other duties as required by the business Provide general administrative support Experience/Knowledge: Previous facilities maintenance experience or equivalent Experience completing site inductions, Method Statements, Risk Assessments Experience of leading a team and projects Abilities/Skills: Be adaptable to any situation in a calm and collected manner Strong understanding of Microsoft Office & Excel Desirable: Basic health and safety knowledge PowerPoint
A fantastic opportunity has arisen for a Head of Finance with a children s charity, on a full-time, permanent basis. As Head of Finance, you will play a critical role in strengthening financial management, reporting, and control across the charity. This is a hands-on senior role responsible for ensuring robust financial processes, accurate reporting, and effective financial planning that supports the organisation s mission and strategic objectives. There is hybrid working in place with this organisation with 2 days per week in their London office. As Head of Finance, you will: - Lead the improvement, documentation and implementation of financial reporting processes and procedures - Support with the preparation and coordination of annual, multi-year budgets and financial plans, working collaboratively with budget holders to ensure that these align with the charity s strategy - Ensure robust financial processes and controls are in place for grant-making, including accurate recording, reconciliation, and clear audit trails - Act as a key driver in improving financial systems, reporting structures, and processes across the organisation - Report into the Director of Finance and Operations and provide line management to the Senior Finance Officer and Grants & Finance Administrator The successful applicant will: - Have significant demonstrable experience in finance within the charity sector, in a similar role - Be ACA, ACCA, CIMA or equivalent fully qualified - Have significant experience in a finance role with responsibility for financial reporting and controls - Have experience of reviewing and developing financial systems and procedures - Have significant experience of preparation and presentation of financial and management reports - Have excellent communication skills, both written and verbal If this sounds like you and you're keen to hear more, please do get in touch ASAP! Please note, only successful applicants will be contacted with further information. 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.
May 11, 2026
Full time
A fantastic opportunity has arisen for a Head of Finance with a children s charity, on a full-time, permanent basis. As Head of Finance, you will play a critical role in strengthening financial management, reporting, and control across the charity. This is a hands-on senior role responsible for ensuring robust financial processes, accurate reporting, and effective financial planning that supports the organisation s mission and strategic objectives. There is hybrid working in place with this organisation with 2 days per week in their London office. As Head of Finance, you will: - Lead the improvement, documentation and implementation of financial reporting processes and procedures - Support with the preparation and coordination of annual, multi-year budgets and financial plans, working collaboratively with budget holders to ensure that these align with the charity s strategy - Ensure robust financial processes and controls are in place for grant-making, including accurate recording, reconciliation, and clear audit trails - Act as a key driver in improving financial systems, reporting structures, and processes across the organisation - Report into the Director of Finance and Operations and provide line management to the Senior Finance Officer and Grants & Finance Administrator The successful applicant will: - Have significant demonstrable experience in finance within the charity sector, in a similar role - Be ACA, ACCA, CIMA or equivalent fully qualified - Have significant experience in a finance role with responsibility for financial reporting and controls - Have experience of reviewing and developing financial systems and procedures - Have significant experience of preparation and presentation of financial and management reports - Have excellent communication skills, both written and verbal If this sounds like you and you're keen to hear more, please do get in touch ASAP! Please note, only successful applicants will be contacted with further information. 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.
Job Title: Women s Specialist Criminal Justice Practitioner Position available: 1 full-time position (37.5 hours, Monday-Friday, 9am 5pm) based in Birmingham and across the Black Country Salary : £26,278.98 FTE Closing date: 04 June 2026 BCWA reserve the right to close this advert before the closing date. All interviews will be held via Microsoft Teams. Is this you? We are looking for someone who is dynamic, personal, creative and empathetic to deliver therapeutic group work, undertake one-to-one sessions, community asset building and psycho-social interventions that support and enable people to make positive changes to their lifestyle. Experience of holding an active caseload is important along with knowledge of case management systems. The Role: We have an exciting opportunity available within our Women s Justice Services. The role of Women s Specialist Criminal Justice Practitioner falls under the Women s Justice Partnership, consisting of BCWA, Changing Lives, Greensquare Accord and ANAWIM. This role require the successful candidate to work within a dynamic team in order to meet the needs of women who present with multiple disadvantage whilst in the criminal justice system. The successful candidate will support the enforcement of the probation service who are co-located with, whilst also delivering support sessions either on a 1:1 or within a group setting. The successful candidate will be based between our head office in West Bromwich and our Office in Jewellery Quarter, however, may be required to travel to other sites across the region in order to support our partner agencies. Please note, for this role, enhanced police checks will be required. If you are self-driven, conscientious, hardworking with lots of ambition we would love to hear from you.
May 11, 2026
Full time
Job Title: Women s Specialist Criminal Justice Practitioner Position available: 1 full-time position (37.5 hours, Monday-Friday, 9am 5pm) based in Birmingham and across the Black Country Salary : £26,278.98 FTE Closing date: 04 June 2026 BCWA reserve the right to close this advert before the closing date. All interviews will be held via Microsoft Teams. Is this you? We are looking for someone who is dynamic, personal, creative and empathetic to deliver therapeutic group work, undertake one-to-one sessions, community asset building and psycho-social interventions that support and enable people to make positive changes to their lifestyle. Experience of holding an active caseload is important along with knowledge of case management systems. The Role: We have an exciting opportunity available within our Women s Justice Services. The role of Women s Specialist Criminal Justice Practitioner falls under the Women s Justice Partnership, consisting of BCWA, Changing Lives, Greensquare Accord and ANAWIM. This role require the successful candidate to work within a dynamic team in order to meet the needs of women who present with multiple disadvantage whilst in the criminal justice system. The successful candidate will support the enforcement of the probation service who are co-located with, whilst also delivering support sessions either on a 1:1 or within a group setting. The successful candidate will be based between our head office in West Bromwich and our Office in Jewellery Quarter, however, may be required to travel to other sites across the region in order to support our partner agencies. Please note, for this role, enhanced police checks will be required. If you are self-driven, conscientious, hardworking with lots of ambition we would love to hear from you.
An exciting opportunity has arisen for a Client Success Manager to join a fast-evolving technology business during a period of continued growth and transformation. This is a fantastic opportunity for an ambitious and technically-minded individual ready to step into a broader leadership role. Combining people management, client engagement and operational oversight, this position will play a key role in driving service performance and supporting the continued growth of the business. The successful candidate will act as the bridge between clients, technical teams and internal stakeholders - ensuring a high standard of support delivery while developing and mentoring a small team. Joining a business where visibility and collaboration are key, this role is well suited to someone who enjoys building relationships and leading from the front. Monday to Friday, 9:00am - 5:30pm hours with hybrid working available (approx. 1 day per week in the office). Salary is offered between £38,000 - £40,000 DOE. The Company This specialist technology business delivers software and support solutions to professional services clients across the UK. Operating within a niche and highly client-focused sector, they work closely with organisations to support business-critical systems and platforms. With continued growth underway, the business offers a collaborative and supportive environment where individuals are encouraged to take ownership, contribute ideas and grow alongside the organisation. Benefits 25 days holiday + bank holidays Additional birthday day off Medicash plan Company sick pay scheme Pension scheme Free onsite parking Flexible approach to working hours where required Genuine progression opportunities within a growing business The Day to Day Managing the day-to-day delivery of technical support services to clients on a bespoke software product solution. Acting as the key operational contact for client accounts post-implementation. Assuring client SLAs are achieved through oversight of team workload and allocation Leading, coaching, developing and supporting a small support team, driving performance and development. Prioritising and overseeing incoming support issues and escalations. Liaising with software providers and technical teams to troubleshoot and resolve issues. Building relationships with client stakeholders and maintaining high levels of service. Supporting onboarding and transition activities following project implementations. Monitoring service performance, reporting and operational processes. Driving improvements across support delivery, documentation and ways of working. Collaborating with engineering and leadership teams to support wider business growth and service development. You Will Have / Be Experience within a service delivery, service desk, technical support or IT operations environment. Previous experience managing or mentoring team members, or the ambition and capability to step into a leadership role. Experience within managed services, software support or technology environments would be highly advantageous. Exposure to platforms such as Microsoft Azure, service management tools or ITIL-aligned environments would also be beneficial. Strong client-facing communication skills and relationship-building abilities. Technical understanding of Microsoft environments, cloud platforms and IT infrastructure. Ability to confidently prioritise workload and manage escalations. Commercial awareness and a solutions-focused mindset. Strong organisational skills with attention to detail. Comfortable working in a fast-paced, evolving environment. How to Apply To hear more details about this opportunity, please email your CV to Rebecca Headden - Business Partner at R13 Recruitment. If you do not hear from us within 5 working days of submitting your CV, please assume you have been unsuccessful on this occasion.
May 11, 2026
Full time
An exciting opportunity has arisen for a Client Success Manager to join a fast-evolving technology business during a period of continued growth and transformation. This is a fantastic opportunity for an ambitious and technically-minded individual ready to step into a broader leadership role. Combining people management, client engagement and operational oversight, this position will play a key role in driving service performance and supporting the continued growth of the business. The successful candidate will act as the bridge between clients, technical teams and internal stakeholders - ensuring a high standard of support delivery while developing and mentoring a small team. Joining a business where visibility and collaboration are key, this role is well suited to someone who enjoys building relationships and leading from the front. Monday to Friday, 9:00am - 5:30pm hours with hybrid working available (approx. 1 day per week in the office). Salary is offered between £38,000 - £40,000 DOE. The Company This specialist technology business delivers software and support solutions to professional services clients across the UK. Operating within a niche and highly client-focused sector, they work closely with organisations to support business-critical systems and platforms. With continued growth underway, the business offers a collaborative and supportive environment where individuals are encouraged to take ownership, contribute ideas and grow alongside the organisation. Benefits 25 days holiday + bank holidays Additional birthday day off Medicash plan Company sick pay scheme Pension scheme Free onsite parking Flexible approach to working hours where required Genuine progression opportunities within a growing business The Day to Day Managing the day-to-day delivery of technical support services to clients on a bespoke software product solution. Acting as the key operational contact for client accounts post-implementation. Assuring client SLAs are achieved through oversight of team workload and allocation Leading, coaching, developing and supporting a small support team, driving performance and development. Prioritising and overseeing incoming support issues and escalations. Liaising with software providers and technical teams to troubleshoot and resolve issues. Building relationships with client stakeholders and maintaining high levels of service. Supporting onboarding and transition activities following project implementations. Monitoring service performance, reporting and operational processes. Driving improvements across support delivery, documentation and ways of working. Collaborating with engineering and leadership teams to support wider business growth and service development. You Will Have / Be Experience within a service delivery, service desk, technical support or IT operations environment. Previous experience managing or mentoring team members, or the ambition and capability to step into a leadership role. Experience within managed services, software support or technology environments would be highly advantageous. Exposure to platforms such as Microsoft Azure, service management tools or ITIL-aligned environments would also be beneficial. Strong client-facing communication skills and relationship-building abilities. Technical understanding of Microsoft environments, cloud platforms and IT infrastructure. Ability to confidently prioritise workload and manage escalations. Commercial awareness and a solutions-focused mindset. Strong organisational skills with attention to detail. Comfortable working in a fast-paced, evolving environment. How to Apply To hear more details about this opportunity, please email your CV to Rebecca Headden - Business Partner at R13 Recruitment. If you do not hear from us within 5 working days of submitting your CV, please assume you have been unsuccessful on this occasion.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Goodman Masson are delighted to be partnered with World Vision UK to recruit for a high-calibre Head of Finance to drive their financial integrity and operational excellence. Reporting directly to the CFO and serving as a key member of the Extended Leadership Team, you will ensure resources are managed with unwavering accuracy, insight, and stewardship to support vulnerable children worldwide. You will lead core operations from transaction processing and monthly accounts to treasury, tax compliance, and statutory reporting. You will be a critical partner to the Head of Business Intelligence and leaders across Fundraising and Programmes, embedding clear policies and modern processes that amplify World Vision UK s mission impact. Key Responsibilities Financial Control & Reporting: Oversee the production of high-quality monthly management accounts and deliver statutory annual accounts under Charities SORP (FRS 102). Modernisation & Innovation: Act as the Finance Systems owner and define a multi-year modernisation roadmap, embedding automation, AI for efficiency, and controls-by-design. Strategic Leadership: Lead and develop a diverse team of 12 (5 direct reports), fostering a service-oriented business partnering culture. Budgeting & Fund Management: Lead the annual budgeting cycle and oversee the management of cash, remittances, and foreign currency hedges. Governance & Risk: Ensure full compliance with UK law and Charity Commission standards, acting as the primary lead for external audit and banking relationships. About You You are an outcome-focused leader who balances strategic vision with operational rigour. You possess a continuous-improvement mindset and the ability to influence senior stakeholders with commercially aware recommendations. Essential Requirements: Qualified Accountant: ACA, ACCA, or CIMA qualified with significant post-qualification experience in industry. Sector Expertise: Proven experience in a finance management position within the Charity sector, including the management of restricted and unrestricted funds. Leadership Track Record: Experience leading multi-function teams with a focus on capability building and performance management. Technical Proficiency: Deep understanding of internal controls, technical accounting, and large-scale budgeting processes. Communication: Excellent verbal and written skills, with the ability to present decision-ready papers to Board committees. Occupational Requirement: Given the leadership nature of this role and its responsibility for the spiritual nurturing of staff, there is an occupational requirement for the post holder to have an active Christian faith . Desired Skills: Familiarity with Microsoft Business Central, Power BI, SAP Concur, Jedox, and Blackline. Salary: Circa £70,000 per annum Key Benefits: 7% employer pension contribution and 28 days holiday + bank holidays Location: Hybrid: 2 days from Milton Keynes office Application Timelines: Application Deadline: Friday 15th May 1st stage Online Interviews: W/C 18th May Final in person Interviews W/C 1st June Please click on the link to view our dedicated careers page with more details:
May 11, 2026
Full time
Goodman Masson are delighted to be partnered with World Vision UK to recruit for a high-calibre Head of Finance to drive their financial integrity and operational excellence. Reporting directly to the CFO and serving as a key member of the Extended Leadership Team, you will ensure resources are managed with unwavering accuracy, insight, and stewardship to support vulnerable children worldwide. You will lead core operations from transaction processing and monthly accounts to treasury, tax compliance, and statutory reporting. You will be a critical partner to the Head of Business Intelligence and leaders across Fundraising and Programmes, embedding clear policies and modern processes that amplify World Vision UK s mission impact. Key Responsibilities Financial Control & Reporting: Oversee the production of high-quality monthly management accounts and deliver statutory annual accounts under Charities SORP (FRS 102). Modernisation & Innovation: Act as the Finance Systems owner and define a multi-year modernisation roadmap, embedding automation, AI for efficiency, and controls-by-design. Strategic Leadership: Lead and develop a diverse team of 12 (5 direct reports), fostering a service-oriented business partnering culture. Budgeting & Fund Management: Lead the annual budgeting cycle and oversee the management of cash, remittances, and foreign currency hedges. Governance & Risk: Ensure full compliance with UK law and Charity Commission standards, acting as the primary lead for external audit and banking relationships. About You You are an outcome-focused leader who balances strategic vision with operational rigour. You possess a continuous-improvement mindset and the ability to influence senior stakeholders with commercially aware recommendations. Essential Requirements: Qualified Accountant: ACA, ACCA, or CIMA qualified with significant post-qualification experience in industry. Sector Expertise: Proven experience in a finance management position within the Charity sector, including the management of restricted and unrestricted funds. Leadership Track Record: Experience leading multi-function teams with a focus on capability building and performance management. Technical Proficiency: Deep understanding of internal controls, technical accounting, and large-scale budgeting processes. Communication: Excellent verbal and written skills, with the ability to present decision-ready papers to Board committees. Occupational Requirement: Given the leadership nature of this role and its responsibility for the spiritual nurturing of staff, there is an occupational requirement for the post holder to have an active Christian faith . Desired Skills: Familiarity with Microsoft Business Central, Power BI, SAP Concur, Jedox, and Blackline. Salary: Circa £70,000 per annum Key Benefits: 7% employer pension contribution and 28 days holiday + bank holidays Location: Hybrid: 2 days from Milton Keynes office Application Timelines: Application Deadline: Friday 15th May 1st stage Online Interviews: W/C 18th May Final in person Interviews W/C 1st June Please click on the link to view our dedicated careers page with more details:
A senior role that sits at the heart of our mission, turning empty and underused buildings into safe, dignified places to live through our Empty Spaces to Homes programme. Habitat for Humanity Great Britain (Habitat GB) is part of the global Habitat for Humanity Federation fighting global poverty and homelessness. We believe that a decent home helps to permanently break the cycle of poverty and allows families to achieve strength, stability, and self-reliance. Job Purpose The Head of Construction (Feasibility & Delivery) is a leadership and technical role responsible for the end-to-end development, delivery and stewardship of Habitat GB s construction and property portfolio. Key responsibilities include strategic planning and technical leadership for core aspects of Habitat GB s domestic programme, such as the construction project pipeline associated with our Empty Spaces to Homes (ES2H) programme. The postholder will lead the feasibility, design, costing, procurement and delivery of demonstration construction projects, primarily the conversion of empty commercial and retail buildings into high-quality, affordable homes, while also ensuring the safe, compliant operation and maintenance of HFHGB-owned, leased and operated properties, including ReStore sites. The Head of Construction (Feasibility & Delivery) is also responsible for the people management of staff, contractors and consultants and (where relevant) volunteers. Key areas of risk management that sit within the portfolio of this role include project and site health & safety, compliance and asset maintenance. This role is central to translating Habitat GB s mission and strategy into high-quality, buildable, scalable projects that maximise social impact. Key Accountabilities/Responsibilities Construction & Programme Delivery • Lead the planning, design and delivery of Habitat GB s demonstration construction projects within the ES2H programme. • Contribute technical leadership to programme strategy, performance monitoring, evaluation and learning. • Work collaboratively with other ES2H workstreams (Advocacy, Research, Scalability) to ensure projects inform and support wider systems change. • Provide expert construction input into organisational decision-making, risk management, and strategy implementation. Building Pipeline Development & Feasibility Lead the identification, assessment and prioritisation of potential conversion opportunities across Great Britain. Conduct frequent site visits to assess empty or underutilised commercial buildings. Undertake and/or oversee: Building diagnostics and technical surveys Early identification of structural, asbestos, planning, fire and compliance risks Location-based risk profiling (logistics, supply chains, neighbourhood constraints) Act as the organisation s technical authority on building viability and conversion risk. Design, Specification & Cost Leadership Develop initial design concepts, spatial layouts and performance specifications that balance cost efficiency, compliance, buildability and the dignity of residents. Ensure all designs meet relevant statutory and organisational requirements, including: UK Building Regulations Fire safety and CDM 2015 Sustainability and environmental standards Provide client side cost leadership and quantity surveying oversight across projects, including: Preparing feasibility cost models, early stage estimates and robust construction budgets Assessing and benchmarking contractor quotations and negotiating best value outcomes aligned with charitable objectives Maintaining effective cost control and financial visibility throughout delivery Lead the appointment and management of architects, planning consultants and specialist technical advisors as required. Construction Delivery, Contractor & Site Management Identify, appoint and manage contractors, subcontractors and consultants on a project-by-project basis. Ensure projects are delivered: safely; to specification; on time and within approved budgets Combine on-site leadership with remote project management, using digital tools, dashboards and reporting systems. Maintain a national overview of live and pipeline projects, providing the Executive Team with clear, real-time updates on milestones, risks, spend and cashflow, and delivery confidence. Health, Safety & Risk Management Be responsible for Health & Safety across Habitat GB s construction and property portfolio. Ensure full compliance with relevant legislation, including CDM 2015. Oversee: Risk assessments and method statements (RAMS) Training and inductions Incident reporting and corrective actions Ensure a strong safety culture across construction sites and property sites, working closely with the Site & Property Maintenance Officer to delivery their responsibilities successfully and safely. Work with colleagues to ensure appropriate insurances are in place. Financial Management & Reporting Own construction and maintenance budgets, ensuring strong financial control and value for money. Lead procurement processes for works, materials, and equipment. Work closely with Finance to ensure accurate forecasting, cost tracking, and timely payment of invoices. Maintain robust project management tools, trackers, schedules, and cost sheets. Provide regular input into organisational performance reporting, risk registers, and assurance processes. People Leadership & Culture Line-manage and support direct reports, setting clear objectives, and providing regular supervision and development. Lead, motivate, and develop a high-performing, values-driven team and contractor network. Ensure good practice management of consultants, contractors and volunteers. Role model Habitat GB s values, including commitment to equity, diversity, inclusion and safeguarding. Person profile: Extensive experience in UK construction project management, particularly refurbishment and conversion projects, with responsibility spanning early feasibility through to delivery. Strong technical understanding of: • UK Building Regulations and fire safety requirements • Permitted Development rights and planning constraints • Health & Safety management, including CDM 2015 Strong client side commercial judgement, with proven ability to develop feasibility cost models, set and manage construction budgets, and maintain effective cost control across projects. Demonstrated experience appointing and managing contractors, consultants and procurement processes to deliver best value outcomes. Strong leadership and people management experience, including the ability to lead teams, contractors and consultants with credibility and clarity. Relevant construction or built environment qualification, or equivalent senior professional experience (e.g. MCIOB, MRICS or similar). Valid CSCS card. Recognised Health & Safety qualification (e.g. IOSH or SMSTS). Full UK driving licence. Skills and competencies: Technically confident and commercially astute, with the ability to exercise sound professional judgement and make high-quality decisions in complex or ambiguous situations. Comfortable operating across strategic leadership and hands-on problem solving, particularly within refurbishment and conversion projects. Highly organised, with the ability to prioritise effectively across multiple concurrent workstreams, sites and geographies. Confident and collaborative communicator, able to work productively with internal teams, partners, volunteers, contractors and external stakeholders. Willing and able to travel extensively across Great Britain in support of project development and delivery. To apply for the role , please send us your CV and a supporting statement (max two sides of A4) telling us about the skills and experience you would bring to the role and your motivation for applying, using the link on our website. Closing date is Monday 25th May 2026.
May 11, 2026
Full time
A senior role that sits at the heart of our mission, turning empty and underused buildings into safe, dignified places to live through our Empty Spaces to Homes programme. Habitat for Humanity Great Britain (Habitat GB) is part of the global Habitat for Humanity Federation fighting global poverty and homelessness. We believe that a decent home helps to permanently break the cycle of poverty and allows families to achieve strength, stability, and self-reliance. Job Purpose The Head of Construction (Feasibility & Delivery) is a leadership and technical role responsible for the end-to-end development, delivery and stewardship of Habitat GB s construction and property portfolio. Key responsibilities include strategic planning and technical leadership for core aspects of Habitat GB s domestic programme, such as the construction project pipeline associated with our Empty Spaces to Homes (ES2H) programme. The postholder will lead the feasibility, design, costing, procurement and delivery of demonstration construction projects, primarily the conversion of empty commercial and retail buildings into high-quality, affordable homes, while also ensuring the safe, compliant operation and maintenance of HFHGB-owned, leased and operated properties, including ReStore sites. The Head of Construction (Feasibility & Delivery) is also responsible for the people management of staff, contractors and consultants and (where relevant) volunteers. Key areas of risk management that sit within the portfolio of this role include project and site health & safety, compliance and asset maintenance. This role is central to translating Habitat GB s mission and strategy into high-quality, buildable, scalable projects that maximise social impact. Key Accountabilities/Responsibilities Construction & Programme Delivery • Lead the planning, design and delivery of Habitat GB s demonstration construction projects within the ES2H programme. • Contribute technical leadership to programme strategy, performance monitoring, evaluation and learning. • Work collaboratively with other ES2H workstreams (Advocacy, Research, Scalability) to ensure projects inform and support wider systems change. • Provide expert construction input into organisational decision-making, risk management, and strategy implementation. Building Pipeline Development & Feasibility Lead the identification, assessment and prioritisation of potential conversion opportunities across Great Britain. Conduct frequent site visits to assess empty or underutilised commercial buildings. Undertake and/or oversee: Building diagnostics and technical surveys Early identification of structural, asbestos, planning, fire and compliance risks Location-based risk profiling (logistics, supply chains, neighbourhood constraints) Act as the organisation s technical authority on building viability and conversion risk. Design, Specification & Cost Leadership Develop initial design concepts, spatial layouts and performance specifications that balance cost efficiency, compliance, buildability and the dignity of residents. Ensure all designs meet relevant statutory and organisational requirements, including: UK Building Regulations Fire safety and CDM 2015 Sustainability and environmental standards Provide client side cost leadership and quantity surveying oversight across projects, including: Preparing feasibility cost models, early stage estimates and robust construction budgets Assessing and benchmarking contractor quotations and negotiating best value outcomes aligned with charitable objectives Maintaining effective cost control and financial visibility throughout delivery Lead the appointment and management of architects, planning consultants and specialist technical advisors as required. Construction Delivery, Contractor & Site Management Identify, appoint and manage contractors, subcontractors and consultants on a project-by-project basis. Ensure projects are delivered: safely; to specification; on time and within approved budgets Combine on-site leadership with remote project management, using digital tools, dashboards and reporting systems. Maintain a national overview of live and pipeline projects, providing the Executive Team with clear, real-time updates on milestones, risks, spend and cashflow, and delivery confidence. Health, Safety & Risk Management Be responsible for Health & Safety across Habitat GB s construction and property portfolio. Ensure full compliance with relevant legislation, including CDM 2015. Oversee: Risk assessments and method statements (RAMS) Training and inductions Incident reporting and corrective actions Ensure a strong safety culture across construction sites and property sites, working closely with the Site & Property Maintenance Officer to delivery their responsibilities successfully and safely. Work with colleagues to ensure appropriate insurances are in place. Financial Management & Reporting Own construction and maintenance budgets, ensuring strong financial control and value for money. Lead procurement processes for works, materials, and equipment. Work closely with Finance to ensure accurate forecasting, cost tracking, and timely payment of invoices. Maintain robust project management tools, trackers, schedules, and cost sheets. Provide regular input into organisational performance reporting, risk registers, and assurance processes. People Leadership & Culture Line-manage and support direct reports, setting clear objectives, and providing regular supervision and development. Lead, motivate, and develop a high-performing, values-driven team and contractor network. Ensure good practice management of consultants, contractors and volunteers. Role model Habitat GB s values, including commitment to equity, diversity, inclusion and safeguarding. Person profile: Extensive experience in UK construction project management, particularly refurbishment and conversion projects, with responsibility spanning early feasibility through to delivery. Strong technical understanding of: • UK Building Regulations and fire safety requirements • Permitted Development rights and planning constraints • Health & Safety management, including CDM 2015 Strong client side commercial judgement, with proven ability to develop feasibility cost models, set and manage construction budgets, and maintain effective cost control across projects. Demonstrated experience appointing and managing contractors, consultants and procurement processes to deliver best value outcomes. Strong leadership and people management experience, including the ability to lead teams, contractors and consultants with credibility and clarity. Relevant construction or built environment qualification, or equivalent senior professional experience (e.g. MCIOB, MRICS or similar). Valid CSCS card. Recognised Health & Safety qualification (e.g. IOSH or SMSTS). Full UK driving licence. Skills and competencies: Technically confident and commercially astute, with the ability to exercise sound professional judgement and make high-quality decisions in complex or ambiguous situations. Comfortable operating across strategic leadership and hands-on problem solving, particularly within refurbishment and conversion projects. Highly organised, with the ability to prioritise effectively across multiple concurrent workstreams, sites and geographies. Confident and collaborative communicator, able to work productively with internal teams, partners, volunteers, contractors and external stakeholders. Willing and able to travel extensively across Great Britain in support of project development and delivery. To apply for the role , please send us your CV and a supporting statement (max two sides of A4) telling us about the skills and experience you would bring to the role and your motivation for applying, using the link on our website. Closing date is Monday 25th May 2026.
Nigel Wright Group
Newcastle Upon Tyne, Tyne And Wear
About our client;Our client, headquartered in Newcastle employs c.130 staff located throughout a European office network. In this challenging and high profile role, the People Director will serve as a true business partner, supporting the Board and wider management team in reaching the Group's global aspirations, including expansion into the US.The opportunity;As a key member of the Senior Management team, the People Director will be jointly responsible for the development & delivery of a People strategy linked to achieving the overall business strategy of the Group and driving a culture that will create a working environment that challenges, stimulates and rewards people, allowing their full potential to be realised.The successful candidate will modernise HR systems, strengthen leadership capability, uplift culture, and deliver measurable improvements in people outcomes within 12 months.Specifically, main duties will require supporting the Operational Board in defining, developing, implementing & overseeing: Effective systems and processes in collaboration with hiring leaders that will allow the business to recruit and retain the best people, A Training and development programme, including developing leadership & management capability, A clear performance management system that will motivate and reward achievement within the Group, Talent management & succession planning to enable continuous expansion, All People practises and employee related governance across the Group to ensure consistency & compliance with required regulation. Initially a stand-alone role, the People Director will be responsible for building a modern People Experience function capable of supporting the group, and working closely with Accounts and Payroll colleagues, be responsible for all operational HR duties that include management of employee records & the HR system/ database, employee contracts, comp. & ben. issues, holiday/absence facilitation, inductions, and all general employment issues as they arise.Hybrid working with 2 days a week in Newcastle and occasional UK/International travel.Part time (4 days a week) is also considered.What We're Looking For;You will have knowledge and experience of : working in an international and multi-site business & dealing with employment related issues in multiple countries. (organisational complexity and cultural barriers etc ). working in a service or high skill & knowledge based environment. dealing with challenging problems, motivating and influencing colleagues of all levels. dealing with professional advisors & suppliers ( lawyers, payroll providers , etc) Will: be an experienced, confident, robust HR professional (CIPD qualified or equivalent). have a positive mindset, be personable, with a hands-on approach to operational HR activities. demonstrate initiative and be driven and committed to see strategic ideas through from inception. have strong commercial acumen and be credible with senior leaders; able to challenge effectively. Nigel Wright HR;For more information about this exciting opportunity or to discuss your next career move, please contact Sue O'Donovan.
May 11, 2026
Full time
About our client;Our client, headquartered in Newcastle employs c.130 staff located throughout a European office network. In this challenging and high profile role, the People Director will serve as a true business partner, supporting the Board and wider management team in reaching the Group's global aspirations, including expansion into the US.The opportunity;As a key member of the Senior Management team, the People Director will be jointly responsible for the development & delivery of a People strategy linked to achieving the overall business strategy of the Group and driving a culture that will create a working environment that challenges, stimulates and rewards people, allowing their full potential to be realised.The successful candidate will modernise HR systems, strengthen leadership capability, uplift culture, and deliver measurable improvements in people outcomes within 12 months.Specifically, main duties will require supporting the Operational Board in defining, developing, implementing & overseeing: Effective systems and processes in collaboration with hiring leaders that will allow the business to recruit and retain the best people, A Training and development programme, including developing leadership & management capability, A clear performance management system that will motivate and reward achievement within the Group, Talent management & succession planning to enable continuous expansion, All People practises and employee related governance across the Group to ensure consistency & compliance with required regulation. Initially a stand-alone role, the People Director will be responsible for building a modern People Experience function capable of supporting the group, and working closely with Accounts and Payroll colleagues, be responsible for all operational HR duties that include management of employee records & the HR system/ database, employee contracts, comp. & ben. issues, holiday/absence facilitation, inductions, and all general employment issues as they arise.Hybrid working with 2 days a week in Newcastle and occasional UK/International travel.Part time (4 days a week) is also considered.What We're Looking For;You will have knowledge and experience of : working in an international and multi-site business & dealing with employment related issues in multiple countries. (organisational complexity and cultural barriers etc ). working in a service or high skill & knowledge based environment. dealing with challenging problems, motivating and influencing colleagues of all levels. dealing with professional advisors & suppliers ( lawyers, payroll providers , etc) Will: be an experienced, confident, robust HR professional (CIPD qualified or equivalent). have a positive mindset, be personable, with a hands-on approach to operational HR activities. demonstrate initiative and be driven and committed to see strategic ideas through from inception. have strong commercial acumen and be credible with senior leaders; able to challenge effectively. Nigel Wright HR;For more information about this exciting opportunity or to discuss your next career move, please contact Sue O'Donovan.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst About the role Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you. Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas. Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable. What You'll Do On any given day, you'll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include: Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision. Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks. Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth. Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities. Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business. Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys. What We're Looking For Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making. Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods. Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions. Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarant
May 11, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst About the role Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you. Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas. Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable. What You'll Do On any given day, you'll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include: Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision. Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks. Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth. Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities. Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business. Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys. What We're Looking For Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making. Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods. Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions. Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarant
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst About the role Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you. Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas. Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable. What You'll Do On any given day, you'll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include: Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision. Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks. Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth. Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities. Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business. Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys. What We're Looking For Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making. Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods. Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions. Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarant
May 11, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst About the role Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you. Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas. Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable. What You'll Do On any given day, you'll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include: Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision. Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks. Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth. Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities. Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business. Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys. What We're Looking For Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making. Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods. Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions. Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarant
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases. Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst About the role Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you. Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas. Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable. What You'll Do On any given day, you'll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include: Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision. Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks. Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth. Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities. Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business. Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys. What We're Looking For Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making. Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods. Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions. Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarant
May 11, 2026
Full time
Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Data Analyst About the role Are you an experienced and passionate data professional looking to drive meaningful change? This could be the perfect role for you. Data Analysis is at the core of our UK business, delivering critical insights that shape information-driven strategies and influence key company decisions. As a Senior Lead Data Analyst, you will take a pivotal role in driving analytical excellence, spearheading analytical initiatives, and shaping the agenda for high-impact business areas. Using advanced analytical and technical expertise, you will innovate, build, and maintain well-managed data solutions-making complex business data more accessible and actionable. What You'll Do On any given day, you'll work across problem-solving, solution generation, innovation, and data management. Your responsibilities will include: Data Extraction & Manipulation - Handling highly complex, business-critical requests with precision. Collaboration & Solution Development - Partnering with diverse teams and stakeholders to design user-friendly data solutions, tools, and self-service frameworks. Insight Generation - Scanning and leveraging available data sources to provide actionable insights that drive business growth. Exploring Emerging Technologies - Quickly adapting to and integrating new technologies to enhance analytical capabilities. Subject Matter Expertise - Developing deep expertise in key data-driven workstreams and becoming a trusted advisor across the business. Additional Contributions - Providing consultancy and resolution support for customer-impacting issues, fulfilling customer account updates, and producing large data sets for customer surveys. What We're Looking For Expertise in Data Analytics - Advanced proficiency in core data analyst skills, including coding, data transformation, comprehensive data knowledge, and a strong understanding of systems. Technical Excellence - Advanced SQL skills required, with proficiency in at least one additional programming language (e.g. Python, R) preferred. Strategic Thinking & Stakeholder Engagement - Proven ability to communicate complex data insights to non-technical stakeholders and drive decision-making. Problem-Solving & Analytical Rigor - A structured, inquisitive approach to solving challenges through data-driven methods. Numerical & Trend Analysis - A natural affinity for numbers and a keen eye for identifying trends to inform business decisions. Initiative & Ownership - Strong ability to prioritize workloads, deliver results at pace, and escalate issues effectively when required. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We're big on collaboration and connection, so you'll be based in our Nottingham office 3 days a week on Tuesdays, Wednesdays and Thursdays. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. In London, you can heighten your mood with a run on our rooftop running track or an espresso at the Workshop Coffee café What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront - to provide LGBTQ+ support for all associates Mind Your Mind - signposting support and promoting positive mental wellbeing for all Women in Tech - promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarant
Frazer Jones is pleased to be partnering with a global financial services company to secure an International Benefits Specialist. Reporting into the Head of Benefits, you'll be part of a benefits team of 4. The business is on a transformative journey to enhance their processes, systems usage and overall benefits offering for the business click apply for full job details
May 11, 2026
Full time
Frazer Jones is pleased to be partnering with a global financial services company to secure an International Benefits Specialist. Reporting into the Head of Benefits, you'll be part of a benefits team of 4. The business is on a transformative journey to enhance their processes, systems usage and overall benefits offering for the business 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.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
May 11, 2026
Full time
We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis. Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement. Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs. Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe). Experience with high-volume data processing and real-time streaming architectures. Strong understanding of recommendation system design and personalisation algorithms. Familiarity with Generative AI and its applications in production settings. Exceptional communication and analytical problem-solving skills. Proven successful experience in mentoring less experienced engineers to improve their technical skills A Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
