1229 jobs found

We're Enterprise Mobility. A family-owned, world-class portfolio of brands that includes household names such as Enterprise Rent-A-Car. With a $39 billion turnover and nearly 90,000 team members across 95 countries, we've grown from a pioneering idea over 65-years ago, to the global mobility leader we are today. Why join the Management Training Programme? As a Management Trainee, you'll have the freedom and support to explore your leadership potential - and the opportunity to become a branch manager in one of our retail operations in as little as two years. In fact, most of our senior leaders began their careers in this very role - including our current CEO. From day one, we'll invest in you. You'll be in a supportive environment where you'll take on real responsibilities and gain invaluable hands-on experience in customer service, sales, marketing, finance, operations, and more. We work hard and reward hard work Your work will be recognised with performance-based incentives and opportunities for continued promotion. Our unique promote-from-within culture means you can keep your career moving forward without having to change organisations. Award-winning training and development Whether you're building on existing strengths or developing new ones, your growth is our priority. Through classroom learning, on-the-job training and mentorship, you'll have the tools and support to take the next step - and the one after that. Responsibilities From your very first day, you'll be trusted with real responsibility and exposed to all areas of our business. You'll develop skills in: Customer Service: deliver exceptional experiences by confidently handling reservations, resolving enquiries, and building rapport with a diverse range of customers. Sales and Marketing: connect with local business partners, grow your network and develop lasting relationships. Financial Control and Profitability: understand the financial mechanics of a successful business, including cost control and interpreting profit and loss statements. Operations and Logistics: learn how to manage a fleet, plan strategically, and drive performance. Leadership and Development: take the lead in mentoring, training, and developing your own team - with the opportunity to manage and promote others as you grow. Qualifications A Bachelor's degree is preferred; however, professional experience can be substituted if applicable. You must have a full manual UK driving licence, but we do make accommodations for applicants who don't drive due to a disability. No drug or alcohol related offence on driving record within the last five years is permitted. Join us, and not only we will offer you the freedom to explore your potential, but the opportunity to progress forward on your own career path. Ready to make your move?

Sales Manager Location: Essex (On-site) Salary: £50,000-£55,000 basic + uncapped commission About the Company A well-established and rapidly growing provider of fire safety and compliance solutions across the UK is seeking a driven Sales Manager to join its team. The business delivers end-to-end services including fire risk assessments, fire protection systems, and ongoing maintenance, supporting clients in meeting the latest safety regulations. With a strong reputation for technical expertise and customer service, the company works with a diverse client base including landlords, property managers, developers, and commercial organisations. The team is committed to delivering high standards of safety and compliance while building long-term client relationships. The Role This is a full-time, on-site position for a results-focused Sales Manager. You will be responsible for developing and executing sales strategies, driving revenue growth, and identifying new business opportunities. Key responsibilities include: Developing and implementing effective sales strategies Driving new business and expanding existing accounts Building and maintaining strong client relationships Managing the full sales cycle from lead generation to close Analysing sales performance and reporting on key metrics Setting and achieving sales targets Collaborating with senior leadership to align sales objectives with business goals Ensuring high levels of customer satisfaction About You Proven experience in a sales management or senior sales role Strong leadership skills with the ability to motivate and drive performance Demonstrated success in business development and account management Excellent communication, negotiation, and interpersonal skills Experience using CRM systems and analysing sales data Highly organised with strong time management skills Industry experience in fire safety, compliance, or a related sector is advantageous but not essential What's on Offer Competitive basic salary of £50,000-£55,000 Uncapped commission structure Opportunity to join a growing and forward-thinking business Clear progression opportunities

A fantastic opportunity has landed for an experienced Private Client Tax Senior to join a leading firm of Chartered Accountants based in Newcastle Under Lyme. This is a genuinely exciting role for a tax professional looking to take the next step in their career within a highly regarded practice environment. The firm offers a range of excellent benefits including flexible working, a company pension scheme, and much more! If you are looking to bring your private client tax expertise to a firm that truly values its people, this could be the perfect move for you. Our client is a well-established and respected firm of Chartered Accountants with a strong reputation for delivering outstanding private client tax services. They work with a diverse and high-quality portfolio of clients, offering their team genuine exposure to complex and varied tax work. With a collaborative culture and a clear pathway for progression, this is the kind of firm where ambitious tax professionals can genuinely thrive. They are committed to investing in their staff and creating an environment where talent is recognised and rewarded. Crowe Watson Recruitment has been exclusively appointed to manage this search on behalf of the firm. Crowe Watson is one of the UK's most trusted specialist recruiters in the accountancy practice sector, with a proven track record of connecting talented professionals with exceptional firms. Their deep understanding of the market means candidates are carefully matched to roles that truly suit their skills and career aspirations. If you are a motivated Private Client Tax Senior seeking your next challenge, Crowe Watson is the ideal partner to help you find it. You might not meet all the criteria, but if you are passionate about developing yourself and your career, we'd love to hear from you. Crowe Watson Recruitment is acting as an Employment Agency. References to pay rates are indicative and salary is dependent on experience. Key Responsibilities Managing and developing a portfolio of private client tax matters, including high-net-worth individuals, trusts, and estates Preparing and reviewing self-assessment tax returns and associated computations Providing clear and accurate tax advice to clients on a range of personal tax matters Liaising directly with clients, building and maintaining strong professional relationships Mentoring and supporting more junior members of the team Assisting partners and managers with advisory projects and tax planning work Ensuring compliance with relevant deadlines and maintaining up-to-date knowledge of tax legislation Requirements Must have previous experience working within a UK Practice environment ATT, CTA or ACA qualified, or working towards a relevant professional qualification Solid technical knowledge of personal tax, including self-assessment and ideally trusts Strong communication skills with the ability to liaise confidently with clients and colleagues Proven ability to manage a portfolio of clients and work to deadlines A proactive, self-motivated approach with a genuine desire to develop professionally Experience mentoring or supervising junior staff would be advantageous

We're Enterprise Mobility. A family-owned, world-class portfolio of brands that includes household names such as Enterprise Rent-A-Car. With a $39 billion turnover and nearly 90,000 team members across 95 countries, we've grown from a pioneering idea over 65-years ago, to the global mobility leader we are today. Why join the Management Training Programme? As a Management Trainee, you'll have the freedom and support to explore your leadership potential - and the opportunity to become a branch manager in one of our retail operations in as little as two years. In fact, most of our senior leaders began their careers in this very role - including our current CEO. From day one, we'll invest in you. You'll be in a supportive environment where you'll take on real responsibilities and gain invaluable hands-on experience in customer service, sales, marketing, finance, operations, and more. We work hard and reward hard work Your work will be recognised with performance-based incentives and opportunities for continued promotion. Our unique promote-from-within culture means you can keep your career moving forward without having to change organisations. Award-winning training and development Whether you're building on existing strengths or developing new ones, your growth is our priority. Through classroom learning, on-the-job training and mentorship, you'll have the tools and support to take the next step - and the one after that. Responsibilities From your very first day, you'll be trusted with real responsibility and exposed to all areas of our business. You'll develop skills in: Customer Service: deliver exceptional experiences by confidently handling reservations, resolving enquiries, and building rapport with a diverse range of customers. Sales and Marketing: connect with local business partners, grow your network and develop lasting relationships. Financial Control and Profitability: understand the financial mechanics of a successful business, including cost control and interpreting profit and loss statements. Operations and Logistics: learn how to manage a fleet, plan strategically, and drive performance. Leadership and Development: take the lead in mentoring, training, and developing your own team - with the opportunity to manage and promote others as you grow. Qualifications A Bachelor's degree is preferred; however, professional experience can be substituted if applicable. You must have a full manual UK driving licence, but we do make accommodations for applicants who don't drive due to a disability. No drug or alcohol related offence on driving record within the last five years is permitted. Join us, and not only we will offer you the freedom to explore your potential, but the opportunity to progress forward on your own career path. Ready to make your move?

Commercial Manager - Exhibitions £38,000 - £45,000 + Uncapped Commission + Excellent Benefits London Hybrid Industry leading luxury events business seeks a highly talented Commercial Manager to join their sales team selling exhibition and sponsorship across their leading hospitality and luxury hotel events portfolio. This role will focus on the sponsorship side of exhibitions so strong sponsorship or exhibition sales experience is key for this role. Our client's events are widely recognised as the leader in their field and their fantastic company culture has been widely recognised with numerous industry awards. This role has fast-track progression, within 12 months the plan is for this role to move into leadership with strategic and organisational responsibilities. We are looking for a highly driven, ambitious, proven exhibition sales person who is results focused. Candidate Profile: Minimum of 2 years of exhibition sales experience, ideally sponsorship led and a proven track record of driving sales results. Demonstrated success in achieving results within exhibitions and sponsorship sales, consistently meeting and exceeding targets. Highly organised, with the ability to effectively prioritise and manage time to maximize productivity and achieve goals. High emotional intelligence, skilled in building and sustaining strong relationships with both internal and external stakeholders. Personable and enthusiastic, with a proactive, solutions-oriented approach-a true team player committed to collective success. L ipton Media is a specialist media recruitment agency based in London. We specialise in all forms of b2b media sales including conferences, exhibitions, awards, summits, publishing, digital, outdoor, TV, radio and business intelligence. Our clients range from small start-up companies to FTSE 100 and 250 businesses. We work with people at every stage of their career from undergraduates looking for their first entry point into sales to senior managers and directors looking for their next challenge.

Every child deserves a loving home - help us to make this happen CCP is seeking to operate Children's Homes to provide safe, stable and high-quality residential care for children and young people, in partnership with Swindon Borough Council. We are looking for a Senior Residential Support Worker to work alongside our Responsible Individual, Registered Manager and Deputy Manager in building this exciting project from the ground up. This is a great opportunity to help us shape the home from the beginning, ensuring it is person-centred, trauma-informed, and committed to providing outstanding care. CCP has over 35 years of experience delivering high-quality services, and we will be building on our three Ofsted supported accommodation registrations to help ensure that children who need care in Swindon have a home locally. In your role you will: Play a key role in the day-to-day care of children and young people within the home Be a positive role model, providing guidance and support to the team Help to ensure the delivery of high-quality, nurturing care Help to ensure the home is meeting Ofsted Quality standards Promote a culture where children's voices are central to all decision making Promote a home environment that supports study, learning and personal growth Support the Registered Manager and Deputy Manager by providing visible, confident and accountable leadership of the home We are looking for someone with: Experience working with children, young people and families Strong understanding of contextual safeguarding Good knowledge of Ofsted regulations and Quality Standards Flexibility with regards to the rota and the changing needs of the children and young people A relevant qualification in Residential Childcare and a commitment to ongoing professional development A full UK driving licence and access to their own transport No two days are the same, and the work you will do is truly going to make a difference. This is an opportunity to make a real difference in the lives of children- providing stability, care, and hope for a brighter tomorrow.

We're Enterprise Mobility. A family-owned, world-class portfolio of brands that includes household names such as Enterprise Rent-A-Car. With a $39 billion turnover and nearly 90,000 team members across 95 countries, we've grown from a pioneering idea over 65-years ago, to the global mobility leader we are today. Why join the Management Training Programme? As a Management Trainee, you'll have the freedom and support to explore your leadership potential - and the opportunity to become a branch manager in one of our retail operations in as little as two years. In fact, most of our senior leaders began their careers in this very role - including our current CEO. From day one, we'll invest in you. You'll be in a supportive environment where you'll take on real responsibilities and gain invaluable hands-on experience in customer service, sales, marketing, finance, operations, and more. We work hard and reward hard work Your work will be recognised with performance-based incentives and opportunities for continued promotion. Our unique promote-from-within culture means you can keep your career moving forward without having to change organisations. Award-winning training and development Whether you're building on existing strengths or developing new ones, your growth is our priority. Through classroom learning, on-the-job training and mentorship, you'll have the tools and support to take the next step - and the one after that. Responsibilities From your very first day, you'll be trusted with real responsibility and exposed to all areas of our business. You'll develop skills in: Customer Service: deliver exceptional experiences by confidently handling reservations, resolving enquiries, and building rapport with a diverse range of customers. Sales and Marketing: connect with local business partners, grow your network and develop lasting relationships. Financial Control and Profitability: understand the financial mechanics of a successful business, including cost control and interpreting profit and loss statements. Operations and Logistics: learn how to manage a fleet, plan strategically, and drive performance. Leadership and Development: take the lead in mentoring, training, and developing your own team - with the opportunity to manage and promote others as you grow. Qualifications A Bachelor's degree is preferred; however, professional experience can be substituted if applicable. You must have a full manual UK driving licence, but we do make accommodations for applicants who don't drive due to a disability. No drug or alcohol related offence on driving record within the last five years is permitted. Join us, and not only we will offer you the freedom to explore your potential, but the opportunity to progress forward on your own career path. Ready to make your move?

Corporate Tax Manager Bristol £55,000 - £65,000 A growing Corporate & International tax team is looking to appoint an experienced Assistant Manager or Manager to join its Bristol office. The team works with a broad range of clients across multiple sectors on diverse and complex projects, including corporate tax compliance and advisory work. This is an excellent opportunity to join an expanding practice with strong leadership, high-quality work, and clear opportunities for career progression. What's great about this Corporate Tax Manager role? No Timesheets! Hybrid working - split between home, office, and client site Private medical cover + 24/7 virtual GP access Six volunteering days per year Empowered flexibility and strong career progression framework Your role as a Corporate Tax Manager: As an Assistant Manager or Manager in Corporate Tax, you'll work alongside senior specialists and Partners on complex UK and international tax projects, supporting household-name clients through strategic transactions and advisory work. You'll also gain exposure to audit of tax, cross-border structuring, and business model advisory, with access to continuous technical and leadership development. Assisting in the delivery of corporate and international tax advisory projects Supporting major corporate transactions and cross-border planning Building and maintaining strong client relationships across varied industries Collaborating with multidisciplinary teams to deliver comprehensive solutions Coaching and reviewing work of junior staff to develop their technical capability What you'll need to succeed: You will be CTA or ACA Qualified. A minimum of 3 years' experience at Assistant Manager level or already in a Manager level position. Experience dealing directly with clients and intermediaries. Alphatax experience desirable but not essential. Ability to proactively identify opportunities across other tax service lines. Strong project management and communication skills. Experience supporting and developing junior staff, including graduates. What next: I am looking for an ambitious Corporate Tax Assistant Manager or Manager to join this growing team. Please get in touch for further details: As an employer, we are committed to ensuring the representation of people from all backgrounds regardless of their gender identity or expression, sexual orientation, race, religion, ethnicity, age, neurodiversity, disability status, or any other aspect which makes them unique. We welcome applicants from all backgrounds to apply and would encourage you to let us know if there are steps, we can take to ensure that your recruitment process enables you to present yourself in a way that makes you comfortable.

A fantastic opportunity has emerged for a talented Mixed Tax Senior to join a leading firm of Chartered Accountants based in Brighton. This is a role that offers real scope for progression, and comes with an attractive benefits package including flexible working, a company pension, and much more. If you are an experienced tax professional looking for your next career move within a forward-thinking practice environment, this could be the perfect fit. Crowe Watson Recruitment, a specialist recruiter trusted by some of the UK's most respected accountancy practices, is proud to be working exclusively with this well-regarded firm as they look to grow their tax team. Known for their commitment to staff development and delivering an exceptional client service, the firm has built a strong reputation across the region and continues to attract high-calibre talent at every level. As a Mixed Tax Senior, you will take responsibility for managing a varied portfolio of clients, handling both personal and corporate tax matters. You will work closely with a supportive and collaborative team, with clear pathways available for those who demonstrate ambition and technical ability. This is a role where your expertise will be genuinely valued, and where you will have the opportunity to make a meaningful contribution to a growing practice. You might not meet all the criteria, but if you are passionate about developing yourself and your career, we'd love to hear from you. Crowe Watson is acting as an Employment Agency. References to pay rates are indicative and salary is dependent on experience. Key Responsibilities Managing a mixed portfolio of personal and corporate tax clients Preparing and reviewing self-assessment tax returns and corporation tax computations Providing advisory support on a range of tax matters to clients Liaising directly with clients, building and maintaining strong professional relationships Supporting junior members of the team with technical guidance and day-to-day queries Working closely with partners and managers on complex tax planning assignments Ensuring compliance deadlines are met accurately and efficiently Requirements Must have previous experience working within a UK Practice environment ATT, CTA qualified or equivalent, or actively working towards a recognised qualification Strong technical knowledge across both personal and corporate tax Proven ability to manage a client portfolio with minimal supervision Excellent communication and interpersonal skills A proactive and organised approach to workload management Ambition to develop and progress within a leading practice

Senior Mechanical Design Engineer - Building Services (Public Sector) Location: Ipswich (Hybrid Working)Salary: £60,000 per annumContract Type: Permanent, Full-Time Overview We are seeking an experienced Senior Mechanical Design Engineer to lead the delivery of high-quality building services design across a diverse public-sector estate. This role is ideal for someone who thrives on technical leadership, stakeholder engagement, and delivering sustainable, compliant, and cost-effective mechanical solutions.You will play a key role in shaping mechanical engineering strategy across capital projects, refurbishments, and ongoing estate improvements, ensuring buildings are safe, efficient, and FutureLearn. Key Responsibilities Lead the mechanical design process for building services projects, from concept through to detailed design and delivery. Produce high-quality mechanical designs including HVAC, heating, cooling, ventilation, domestic services, and associated systems. Oversee technical standards, ensuring compliance with relevant legislation, CIBSE guidelines, and public-sector requirements. Manage and mentor junior engineers, providing technical guidance and quality assurance. Collaborate with multidisciplinary teams including electrical engineers, architects, project managers, and contractors. Conduct site surveys, feasibility studies, and condition assessments across a varied public-sector property portfolio. Prepare technical reports, specifications, schedules, and tender documentation. Support sustainability and decarbonisation initiatives, including low-carbon technologies and energy-efficient design. Engage with internal stakeholders, external consultants, and statutory bodies to ensure smooth project delivery. Contribute to long-term asset planning and mechanical engineering strategy for the estate. Skills & Experience Required Degree in Mechanical Engineering or Building Services Engineering (or equivalent). Chartered or working toward Chartered status (CEng) with CIBSE or IMechE. Significant experience in mechanical building services design, ideally within or for the public sector. Strong understanding of UK building regulations, compliance frameworks, and public-sector procurement. Proficiency in design software such as AutoCAD, Revit, and mechanical calculation tools. Excellent communication skills with the ability to present technical information clearly to non-technical stakeholders. Proven ability to lead projects, manage workloads, and deliver to deadlines. A proactive, solutions-focused mindset with strong attention to detail. What We Offer Competitive salary of £60,000. Hybrid working with flexibility between office, home, and site visits. Opportunity to influence major public-sector building programmes. Professional development support, including chartership pathways. What you need to do now If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

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.

Corporate Tax Assistant Manager Bristol £45,000 - £50,000 This firm is known for its strong focus on wellbeing, learning and development, flexible hybrid working, and genuine commitment to inclusion and progression. It has received multiple national workplace awards in recent years, including recognition for overall workplace culture, wellbeing and development. You'll work with a wide variety of clients across different sectors and sizes, supporting both compliance and advisory work. You'll collaborate closely with corporate tax specialists as well as a broader multi-disciplinary tax team of over 100 advisors, managing projects to time, budget and quality standards. What's great about this Corporate Tax Assistant Manager role? Hybrid working model Option to buy up to 5 additional days' holiday Counselling and support for you and your immediate family Virtual GP access for you and your immediate family Retail and gym discounts Gifts for career and family milestones One volunteering day per year Your role as a Corporate Tax Assistant Manager: Supporting senior colleagues with corporation tax computations and returns. Assisting on advisory projects including capital allowances, R&D claims, tax due diligence and transaction/restructuring work. Helping to develop junior staff through day-to-day support and mentoring. Undertaking tax technical research for wider projects. Completing tax-related administrative tasks. Getting involved in marketing and business development activities. Building and maintaining relationships with clients, HMRC and other professional advisers. Working alongside audit colleagues on annual tax assignments. What you'll need to succeed: At least 3 years' experience in a corporate tax compliance role. ATT/CTA or ACA/CTA qualified, or part-qualified with relevant experience and an interest in studying for CTA. Able to work independently and as part of a team. Strong interpersonal skills and the ability to build rapport quickly with clients. Previous experience using Alphatax would be beneficial. What next: Please get in touch for further details: As an employer, we are committed to ensuring the representation of people from all backgrounds regardless of their gender identity or expression, sexual orientation, race, religion, ethnicity, age, neurodiversity, disability status, or any other aspect which makes them unique. We welcome applicants from all backgrounds to apply and would encourage you to let us know if there are steps, we can take to ensure that your recruitment process enables you to present yourself in a way that makes you comfortable.

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.

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.

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.

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.

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.

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.

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.