1645 jobs found

Production Coordinator Mansfield £36,000-£39,000 Permanent The Opportunity Ready to take real ownership of how production is planned, measured, and improved? You'll be at the centre of a busy engineering environment, working closely with shop-floor teams and senior leadership to bring clarity to performance, improve planning accuracy, and support more consistent delivery across the operation. You'll be responsible for analysing production activity, establishing realistic timescales, and helping to embed better processes across the operation. This is a hands-on, highly engaged role where your ability to understand workflows, challenge inefficiencies, and drive improvements will have a direct impact on output, performance, and customer satisfaction. For someone who thrives in a fast-paced engineering environment and enjoys being deeply involved in how things are built, this is a rare opportunity to shape how production is measured, managed, and improved. Production Coordinator Responsibilities: Time Studies & Planning: Conducting time studies, establishing accurate production timescales, and supporting the creation of KPIs for new and existing products. Performance Analysis: Reviewing production data to identify trends, bottlenecks, and opportunities for improvement. Workflow Coordination: Working closely with supervisors and operatives to understand build sequences and ensure plans reflect real-world processes. Process Improvement: Supporting the introduction of more structured, consistent production practices and helping to embed operational discipline. ERP & Reporting: Using Sage (or similar systems) to track progress, update data, and support decision-making. Cross-Functional Liaison: Acting as a link between production, engineering, and management to ensure information flows clearly and issues are addressed promptly. Ideal Production Coordinator: Experienced: Background in production, engineering, fabrication, or assembly environments with a solid understanding of how products are built through defined operational stages. Technically Aware: Able to interpret engineering processes, understand build sequences, and assess realistic production timings. Analytical: Comfortable reviewing data, identifying inefficiencies, and proposing practical solutions. ERP-Capable: Familiar with Sage or similar production/ERP systems. Tenacious & Engaged: A confident, hands-on individual who integrates well with shop-floor teams, shows persistent drive, and actively contributes to improvement rather than maintaining the status quo. Exposure to Improvement Tools & Methods: Familiarity with structured improvement approaches such as Lean, Kaizen, or similar methodologies, with the ability to apply basic principles to support operational enhancements. Improvement-Driven Mindset: Naturally seeks better ways of working, contributes ideas to enhance efficiency, and maintains a forward-thinking approach to continuous improvement. Location: Mansfield (Full-time on-site due to the nature of the role). Production Coordinator Salary: Upto £39,000 depending on experience. About Ford & Stanley Group Ford & Stanley Talent Services Group are in the business of people and performance. Our mission is to create one million better workdays through facilitating great recruitment, leadership and occupational mental fitness. We support our clients in their most challenging business areas - recruiting, developing and retaining the best talent from shop floor to boardroom. Ford & Stanley TalentWise - Business specialising in blue collar trade & technical services. Ford & Stanley Recruitment - Business specialising in white collar spanning all company functions.

Internal Technical Sales Executive Negotiable Salary Package dependent upon experience, Pension, and other benefits. Our Client has a requirement for an Internal Sales Executive, ideal would be with experience in the Electrical industry to provide sales and technical support to the external customer base, whilst developing and maintaining customer relationships and promoting products and services to maximise sales opportunities. You are most likely to be living in Leeds, Beeston, Pudsey, Morley, Rothwell, Batley, Dewsbury, Headingley, Horsforth, areas of West Yorkshire in order to commute. Ideally y ou will have knowledge of a wide range of electrical market related products and are likely to have strengths in more than one product area. As the Internal Sales Executive you will respond to and handle sales and product enquiries. You will be required, with training, to understand and be familiar with the full product range with the ability to offer alternatives if required and advise on the selection of products where possible. You will liaise with Field Sales Engineers and other staff to achieve the branch objectives and sales performance and as is normal in a small team environment engage in other duties. It is also expected that you have commercial ability and awareness to generate quotation for customers and are competent to judge the competitive situation needed to win the order whilst being mindful of profitability. In order to perform this role successfully you will need technical electrical knowledge, there is flexibility on the qualification if you can illustrate your knowledge, product applications knowledge and commercial awareness. The ideal candidate may already be in a similar role as an internal sales engineer, technical support engineer, an electrical engineer looking to move into a commercial environment with the ability to illustrate good customer and administrative skills, or a graduate engineer with customer experience in a sales environment looking to develop their career in technical sales. Knowledge and Experience Sales administration experience within a Sales Office environment. Ideal but not mandatory would be some Electrical industry sector knowledge or experience (or other electrical engineering qualification) Good working knowledge of Microsoft Office and data entry systems Experience in similar sales /customer service environment. Post codes used are for advertising purposes only. To register your interest contact us with an up to date CV and we will be pleased to call you for a confidential discussion. To view more of our positions click on the Rise logo at the top of this page or visit our website directly. We work across a range of business to business/B2B market sectors including Renewable Energy, Electrical, Control & Automation, Electronic, Renewable Energy, Pneumatics, Hydraulics, Fluid Power, Instrumentation, Engineering services companies, Industrial Consumables, Industrial Components, Capital Equipment, Material Handling, Scientific Equipment, Petrochemical and Utilities. Rise Executive Search & Recruitment Ltd are currently working on a wide range of business to business/B2B sales positions, account management, business development and sales management roles including: Internal Sales Engineer, Technical Support, Product Specialist, Sales Manager, UK Sales Manager, National Sales Manager, Country Manager, Regional Sales Manager, Area Sales Manager, Sales Executive, Senior Sales Executive, National Account Manager, Business Development Manager, Key Account Manager, Account Executive, National Account Executive, Sales Specialist, Global Account Manager, Sales Representative, Territory Sales, Field Sales, Client Relationship Manager, Sales Engineer, Sales Consultant, Technical Sales, Senior Sales Engineer, Export Sales, International Sales, European Sales, Branch Manager, Sales Director, Trainee Sales, Graduate Sales, Telesales, Internal Sales, Office Sales.

AM2 & 2391 Qualified Electrician Location: Folkstone & Surrounding areas Employment Type: Permanent / Full-time Role Overview We are seeking a fully qualified Electrician to join a high-performing delivery team working across commercial and infrastructure environments. This role is suited to a competent, detail-focused professional who takes pride in safe, compliant electrical installations, testing, and inspection. You will be responsible for delivering electrical works to the highest industry standards, ensuring compliance with current regulations and internal quality requirements. Key Responsibilities Carry out electrical installation, maintenance, fault-finding, and remedial works Undertake inspection, testing, and certification in line with BS 7671 Complete Electrical Installation Certificates (EICs), EICRs, and associated documentation accurately Ensure all works meet health & safety, quality, and compliance standards Read and interpret drawings, schematics, and specifications Liaise effectively with site managers, supervisors, and other trades Maintain a clean, safe, and organised working environment Identify and report defects, risks, or non-conformances promptly Represent the organisation professionally on site at all times Essential Qualifications & Requirements NVQ Level 3 in Electrical Installation (or equivalent) AM2 qualification (mandatory) City & Guilds 2391 - Inspection & Testing (or 2394/2395 equivalent) Current 18th Edition Wiring Regulations (BS 7671) ECS / JIB Gold Card (or eligibility to obtain) Proven experience working in commercial or industrial environments Strong understanding of electrical compliance and quality assurance Ability to work independently and as part of a team Full UK driving licence Desirable Experience with testing-heavy or compliance-led projects Familiarity with QA processes, audits, and handover documentation Background in regulated, safety-critical, or client-facing environments Personal Attributes High attention to detail and quality Safety-conscious and methodical Reliable, professional, and well-organised Strong communication skills Proactive attitude with a pride in workmanship What's Offered Stable, long-term opportunity with consistent work Supportive, professional working environment Clear expectations around quality, safety, and compliance Opportunities for further training and development

Senior Geo-Environmental Engineer Location: Winchester Reference: BY216422 Salary: £36,000 - £45,000. This is a great opportunity for a Senior Geo-Environmental Engineer to join a specialist ground investigation consultancy based near Winchester. Founded over 15 years ago and with an expanding, specialist team to support you, this is the perfect position to develop your career, take on more responsibility and progress in your career. The Geo-Environmental Consultant selected will be provided with: A competitive salary (£36,000 - £45,000). Company pension and benefits scheme. Annual salary and progression reviews. Continued Professional Development and career opportunities. Opportunity to lead a team and liaise with clients. Inclusive, friendly, and supportive team of specialists to work with. Hybrid work available. As a Senior Geo-Environmental Engineer you'll be overseeing site investigations and Phase 1 Desktop Studies, training junior team members, writing and reviewing factual and interpretive reports and liaising closely with clients. Therefore, Senior Geo-Environmental Engineer selected must: Have experience in the geotechnical/geo-environmental industry. Have a degree in geology, geoscience, environmental engineering, environmental science or earth science. You must hold a clean and valid UK Driving licence. Live near to Winchester. A full right to work in the UK is also essential. If you are interested in this or other Geo-Environmental/Geotechnical Engineering/Consulting roles please do not hesitate to contact Beth Young on . We have many more vacancies available on our website. Please refer to This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position.

Senior Geoenvironmental Engineer - Cardiff Ref: BY209267 Salary: £38,000 - £46,000 A leading, employee-owned engineering consultancy is seeking a Senior Geoenvironmental Engineer to join their growing team in Cardiff. With over 60 years of experience, this award-winning consultancy delivers innovative and sustainable solutions across the built environment, supporting projects from small developments to major infrastructure schemes. As a Senior Geoenvironmental Engineer , you will play a key role in delivering contaminated land and ground engineering solutions across a diverse project portfolio. The Senior Geoenvironmental Engineer will lead and manage site investigations, undertake risk assessments, oversee remediation strategies, and provide technical guidance to junior staff while working closely with multidisciplinary teams. What's on offer: Competitive salary (£38,000 - £46,000) with performance-related benefits Structured career progression and professional development support Opportunity to work within a collaborative, employee-owned business Exposure to high-profile and technically challenging projects Supportive culture focused on innovation and sustainability Requirements: Degree in Geoenvironmental Engineering, Environmental Science, or similar Proven experience in contaminated land assessment and ground investigation Full UK driving licence (essential) Full right to work in the UK Must live in or near to the Cardiff office This is an excellent opportunity for a motivated Senior Geoenvironmental Engineer looking to advance their career within a forward-thinking consultancy. The successful Senior Geoenvironmental Engineer will benefit from working on impactful projects while developing toward more senior leadership roles in London. If you are interested in this or other Geo-Environmental/Geotechnical roles please do not hesitate to contact Beth Young on . We have many more vacancies available on our website. Please refer to This is a permanent role. Penguin Recruitment is operating as a Recruitment Agency in respect to this position.

Job Title: Geotechnical Project Engineer Location: Leicester Salary: £35,000 - £40,000 This is an excellent opportunity to for a contractor based geotechnical engineer to move away from regular site work, into an office based geotechnical project manager positionYou will have the opportunity to face clients, perform occasional site visits, and manage a wide range of projects, giving you a great balance of work. Geotechnical Project Engineer package: Competitive salary £ Generous pension scheme Fantastic working conditions Flexible benefits Close support from seniors Full training Wide range of projects Team mentoring Project Management Leicester office To be considered, you need to have a strong background of geology (including a geology related degree), an understanding of contractor based project managing and a full UK driving licence.If you are a geotechnical engineer located near Leicester, who is currently looking to step into that office role, get in touch now! Interested in this or other geo roles? Please do not hesitate to contact Joel Bullen on . We have many more vacancies available on our website. This is a permanent role.Penguin Recruitment is operating as a Recruitment Agency in respect to this position.

Ready to lead the future of engineering? We're looking for a Senior Mechanical Design Engineer who thrives on innovation and solving complex challenges. Join us and help shape the 'Intelligent Client' that will drive our AMP8 ambitions and beyond.In this role, you'll be at the forefront of mechanical design in the water and wastewater industry-leading high-impact projects, collaborating with expert teams, and ensuring designs meet the highest standards. You'll investigate root causes, influence project direction with your technical expertise, and pioneer new technologies through cutting-edge research. Be part of Thames Water's engineering transformation. Apply now and make your mark on AMP8 and beyond. What you'll be doing as a Senior Mechanical Design Engineer Complete the design of complex engineering processes in the water and wastewater industry. Support multidisciplinary teams in developing solutions to engineering challenges for operational plants to ensure adherence to stringent design codes. Lead and coordinate multi-disciplinary teams for mechanically biased projects. Undertake equipment failure root cause analysis investigations to establish failure methods and reduce the impact and future occurrence. Provide technical input into project definition briefs. Provide mechanical input into asset surveys and plant condition assessments, feasibility studies, whole-life costing, and preliminary designs. Provide technical sign-off and assurance during technical delivery, including handover. Ensure we are compliant with engineering-based regulatory requirements in their area. Support testing and development of new technologies for implementation in research projects. Provide the technical sign-off (accountability) and assurance that the project's needs will be fulfilled during technical delivery, including handover and commissioning. Hybrid - Clearwater Court (Reading), you will be required in the office and on-site 2-3 days a week and as the business requires.36 hours a week, Monday to Friday. Flexible working opportunities.You must have a driver's licence and access to a vehicle for this role. What you should bring to the role The essential criteria you need: Be a recognised senior engineer (Chartered or close to achieving Chartered Status) in Mechanical Engineering with experience in the water industry or a closely related equivalent sector. Be degree qualified or equivalent in mechanical engineering with a relevant awarding body/working towards chartership. Have design engineering experience. Provide background on supporting quantity surveyors/cost estimating teams in the scope development for cost modelling and budgetary proposals. Be knowledgeable in any of the following: pumps/pipe systems, sludge, gas/CHP systems, and water/wastewater treatment process equipment. Understand the regulatory environment to achieve compliance with our engineering regulatory requirements. What's in it for you? Competitive salary from £55,000 to £70,000 per annum, depending on experience. 26 days holiday per year, increasing to 30 with the length of service. Access to many benefits to help you take care of your and your family's health and well-being, and your finances - from annual health MOTs and access to physiotherapy and counselling to Cycle to Work schemes, shopping vouchers and life assurance. Generous Pension Scheme through AON. Performance-related pay plan directly linked to company performance measures and targets. Find out more about our benefits and perks (Please note different T&Cs apply if on secondment) Who are we? We're the UK's largest water and wastewater company, with more than 16 million customers relying on us every day to supply water for their taps and toilets. We want to build a better future for all, helping our customers, communities, people, and the planet to thrive. It's a big job and we've got a long way to go, so we need help from passionate and skilled people, committed to making a difference and getting us to where we want to be in the years and decades to come. Learn more about our purpose and values Working at Thames Wate r Thames Water is a unique, rewarding, and diverse place to work, where every day you can make a difference, yet no day is the same. As part of our family, you'll enjoy meaningful career opportunities, flexible working arrangements and excellent benefits.If you're looking for a sustainable and successful career where you can make a daily difference to millions of people's lives while helping to protect the world of water for future generations, we'll be here to support you every step of the way. Together, we can build a better future for our customers, our region, and our planet.Real purpose, real support, real opportunities. Come and join the Thames Water family. Why choose us? Learn more.We're committed to being a great, diverse, and inclusive place to work. We welcome applications from everyone and want to ensure you feel supported throughout the recruitment process. If you need any adjustments, whether that's extra time, accessible formats, or anything else, just let us know. We're here to help and support.When a crisis happens, we all rally around to support our customers. As part of Team Thames, you'll have the opportunity to sign up to support our customers on the frontline as an ambassador. Full training will be given for what is undoubtedly an incredibly rewarding experience. It's also a great opportunity to learn more about our business and meet colleagues. Disclaimer: Due to the high volume of applications we receive, we may close the advert earlier than the advertised date, so we encourage you to apply as soon as possible to avoid disappointment.

note that this role will require security clearance without restriction Are you an experienced RF engineer who would like the chance to work on a wide variety of the worlds most impactful and modern RF engineering challenges? Are you motivated by working with a highly competent and well renowned team of subject matter experts, with the latest and greatest RF labs and equipment at your disposal?Our client are driven by innovation. Pushing the boundaries of RF engineering in every area of product development you can imagine. With their work being found in products all around earth (and in space!), from mobile communications, to fast moving sensors, to robotics, IoT and much much more. So if you want every day to be interesting, and each project to present a new challenge, read on. You will be involved at every stage of each project, from requirements capture and project specifications, through to design, including working with clients (both technical and non-technical) to ensure that the projects are realistically deliverable and well understood and agreed upon. So it's crucial that the successful RF engineer has excellent communication skills and is happy to work with both internal and external stakeholders. Requirements for application Excellent academic experience in RF or Electronics fields (preferably MEng / PhD leve) Senior level post-graduate experience in designing RF-based circuits - preferably with experience leading teams or projects Experience of the product lifecycle from requirement capture to final delivery. Microwave, RF, analogue design and simulation skills (digital design is beneficial but not required) Amplifier, filter and frequency synthesiser design. A desire to work on a wide range of product types. Evidence of that is beneficial Experience of a range of frequencies, high frequency is particularly beneficial due to the nature of many modern products Eligible for security clearance without restriction

Innova Search is recruiting for a Head of Engineering to join a prestigious, Tier-1 heavy engineering and defence partner with a multi-century heritage in British engineering. This is a rare opportunity to take a high-profile leadership seat within a dedicated team responsible for a critical, long-term programme. In this role, you will serve as the primary technical interface for the customer. You will be responsible for the entire engineering lifecycle of complex mechanical systems, from initial concept and design through to manufacturing, installation, and final commissioning. The Role You will lead a multi-disciplined team to ensure the accurate execution of engineering deliverables. You will be the technical guardian of the programme, ensuring that all systems are delivered "right first time" within a highly regulated, gated design environment. Key Responsibilities: Strategic Technical Leadership: Develop and execute engineering strategies across Design, Manufacturing, and Test, ensuring alignment with overarching programme milestones. Design Authority: Act as the senior point of contact for all technical activities, overseeing the delivery of high-quality data packs, installation instructions, and maintenance manuals. Operational Excellence: Drive productivity through strategic decision-making, including the optimisation of test facilities and the management of complex supply chain interfaces. Risk Management: Identify and mitigate technical risks, ensuring all work packages pass through rigorous engineering gated hold points before progression. Team Development: Build and mentor a high-performing engineering culture, championing continuous improvement (CI) and professional development across your team. Your Profile You are an assertive, data-driven leader who thrives in fast-paced, high-stakes environments. You must be able to balance technical rigour with commercial and programme requirements. Qualifications: A degree in a relevant Engineering discipline is essential. Chartered Engineer (CEng) status is highly preferred. Experience: Proven leadership experience within a large-scale design and manufacture entity, preferably within heavy engineering, or highly regulated sectors. Technical Knowledge: A strong background in complex mechanical systems integration, structural analysis, and the application of stringent industry standards. Leadership: Exceptional communication skills with the ability to influence stakeholders at all levels-from the shop floor to the boardroom. Process Driven: Familiarity with gated design processes, risk management, and problem-solving methodologies (e.g., 8D, DMAIC). Security & Compliance Due to the sensitive nature of this programme, this position is subject to strict security and export control restrictions. Security Clearance: Candidates must be able to achieve and maintain the required UK security clearance levels. Eligibility: Your nationality, place of birth, and any dual citizenships held will be verified as part of the vetting process, as they may impact your suitability for this specific programme. Right to Work: All applicants must have the permanent right to work in the UK.

Senior Process Engineer Location: Plymouth Salary: £44,000 - £49,000 (depending on experience) Contract: Permanent Full-time (39 hours, Monday-Friday) Butler Rose is proud to be partnering with an established and highly respected manufacturing business based in Plymouth, recruiting an experienced Senior Process Engineer to support continued growth and operational excellence within its sheet metal manufacturing operations. This is a key engineering role offering real influence across new product introduction, process optimisation, and day-to-day production support within a technically advanced, high-volume manufacturing environment. The Role As Senior Process Engineer, you will take ownership of critical manufacturing processes within the sheet metal area, ensuring new products, equipment and improvements are delivered to world-class standards. You'll work across NPI, continuous improvement initiatives and live production support, playing a central role in driving performance, capability and efficiency while helping to embed a strong continuous improvement culture across the factory. This role would suit a proactive, technically strong engineer who enjoys solving problems, leading improvement projects and influencing stakeholders at all levels. Key Responsibilities Process Ownership & Performance Take full ownership of defined manufacturing processes within the sheet metal department Lead successful introduction of new products and equipment, ensuring capability and quality targets are met Deliver engineering projects on time, within budget and in line with health & safety and quality standards Provide hands-on production support to optimise tooling, equipment utilisation and material flow Leadership & Coaching Act as a role model, demonstrating professionalism, accountability and high engineering standards Support and coach junior engineers and team members Promote a strong culture of safety, quality and continuous improvement Continuous Improvement & Technical Delivery Drive process optimisation using lean principles and structured problem-solving techniques Troubleshoot technical issues to reduce waste and improve quality and throughput Maintain high standards across standard work, PFMEAs, layouts, line balancing and process capability Cross-Functional Working Collaborate closely with Engineering, Quality, Maintenance, Production and Supply Chain teams Contribute technical insight during NPI and design review activities Participate in root cause analysis, improvement workshops and problem-solving activities About You We welcome applications from a wide range of backgrounds. To be successful, you are likely to demonstrate: HNC Level 4 or above in Manufacturing or Mechanical Engineering Degree in Industrial Engineering and/or Lean Six Sigma certification (desirable) At least 5 years' experience in a senior or lead engineering role within manufacturing Strong experience of sheet metal processes, including jig design and welding/weld jigs Proven track record in delivering manufacturing projects, layout redesigns and process improvements Experience working with contractors, supplier negotiation and equipment procurement Technical & Professional Skills Manufacturing systems, process engineering and project management CAD and planning software Lean manufacturing, TPM, OEE, automation and smart manufacturing Equipment validation and machine safety standards Root cause analysis and data-driven decision making Strong communication, stakeholder management and leadership skills Strategic planning, budgeting and change management What's on Offer Salary of £44,000 - £49,000 , depending on experience Company-wide bonus 33 days annual leave including bank holidays, plus holiday purchase scheme Life assurance (3x salary) Pension contributions matched up to 5% Health and wellbeing benefits Access to employee savings and discount platforms Butler Rose is committed to equality in the workplace and is an equal opportunity employer.Butler Rose Ltd is acting as an Employment Business in relation to this vacancy.

Innova Search is recruiting for a Head of Engineering to join a prestigious, Tier-1 heavy engineering and defence partner with a multi-century heritage in British engineering. This is a rare opportunity to take a high-profile leadership seat within a dedicated team responsible for a critical, long-term programme. In this role, you will serve as the primary technical interface for the customer. You will be responsible for the entire engineering lifecycle of complex mechanical systems, from initial concept and design through to manufacturing, installation, and final commissioning. The business are based in the Manchester area. Relocation would be required (relocation package included). The Role You will lead a multi-disciplined team to ensure the accurate execution of engineering deliverables. You will be the technical guardian of the programme, ensuring that all systems are delivered "right first time" within a highly regulated, gated design environment. Key Responsibilities: Strategic Technical Leadership: Develop and execute engineering strategies across Design, Manufacturing, and Test, ensuring alignment with overarching programme milestones. Design Authority: Act as the senior point of contact for all technical activities, overseeing the delivery of high-quality data packs, installation instructions, and maintenance manuals. Operational Excellence: Drive productivity through strategic decision-making, including the optimisation of test facilities and the management of complex supply chain interfaces. Risk Management: Identify and mitigate technical risks, ensuring all work packages pass through rigorous engineering gated hold points before progression. Team Development: Build and mentor a high-performing engineering culture, championing continuous improvement (CI) and professional development across your team. Your Profile You are an assertive, data-driven leader who thrives in fast-paced, high-stakes environments. You must be able to balance technical rigour with commercial and programme requirements. Qualifications: A degree in a relevant Engineering discipline is essential. Chartered Engineer (CEng) status is highly preferred. Experience: Proven leadership experience within a large-scale design and manufacture entity, preferably within heavy engineering, or highly regulated sectors. Technical Knowledge: A strong background in complex mechanical systems integration, structural analysis, and the application of stringent industry standards. Leadership: Exceptional communication skills with the ability to influence stakeholders at all levels-from the shop floor to the boardroom. Process Driven: Familiarity with gated design processes, risk management, and problem-solving methodologies (e.g., 8D, DMAIC). Security & Compliance Due to the sensitive nature of this programme, this position is subject to strict security and export control restrictions. Security Clearance: Candidates must be able to achieve and maintain the required UK security clearance levels. Eligibility: Your nationality, place of birth, and any dual citizenships held will be verified as part of the vetting process, as they may impact your suitability for this specific programme. Right to Work: All applicants must have the permanent right to work in the 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.

Morson are working with one of the UK's leading aerospace manufacturer who are looking for a Senior Quality Assurance Engineer to join the team based in Portsmouth. Role Overview Define and perform Quality Assurance (QA) activities, by ensuring correct implementation of procedures and processes, to ensure product quality meets the stated requirements Lead prevention and quality improvements of AIT p 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. 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.