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Are you looking for an employer who can offer you opportunities for growth and development in your speech and language therapy career- All whilst working within a friendly multidisciplinary team in a rewarding education setting? Do you want to have opportunities to participate in research projects, special interest groups and form part of a wider speech and language therapy network that meets regularly for training & development? Do you want to have flexibility and be able to work creatively to deliver specialist SaLT assessment and intervention fostering independence within an education setting? How about working for an employer who has been awarded a ‘Great Place to Work’ for the 5th year running? At OFG we believe in creating a better work life balance Job Title: Senior Speech and Language Therapist Location: Hillingdon Granges - comprising of Yiewsley Grange, Colne Grange, Upton Grange, This role will be predominantly based at Upton Grange, there may be requirements for the role to support other sites within the Hillingdon Granges sites from time to time. Salary: Up to £53,200 FTE DOE plus £5000 Welcome Bonus (Welcome Bonus is payable as one payment of £2,500 after completion of one month and one further payment of £2,500 upon completion of your final probation period. T&C's Apply Hours: 37.5 hours per week, Monday to Friday 8.30-16.30pm Contract: Permanent (Term time only, or flexibility around full-time contract can be discussed based on your personal circumstances) In a world where the demand for clinical support is increasing daily, we understand the importance and value of the work you carry out. Your unique skills and expertise are critical to building better outcomes for our pupils. This is why we aim to have a multidisciplinary clinical team for each of our sites to provide this vital provision in collaboration with our education teams. Creating an environment where our pupils can truly flourish and grow in independence is key. We understand the value of helping our employees develop in their careers. For clinicians to achieve their Continued Professional Development (CPD) goals we offer a £2000 training allowance, so that you can complete role specific training tailored to your individual requirements once your probation has been completed. About Outcomes First Group At Outcomes First Group, we believe every child has the ability to thrive when given access to a learning environment designed for their success. We exist to provide, champion and develop an exceptional education that is research-led and tailored around the abilities and aspirations of the individual - a commitment that shapes tomorrow’s leaders, cultivates a lifelong love of learning and equips young minds to craft their own bright futures. At the heart of our philosophy lies a unique blend of tradition and innovation. We champion smaller class sizes, personalised learning plans and a curriculum that prepares students for success both in and beyond the classroom, evidenced in a 97% success rate in guiding our leavers into education, employment or training. As the largest and most accomplished organisation in our sector, we have the capability to invest in forward-thinking initiatives and resources based on the needs of the individual pupil, rather than the collective. This investment creates consistent and measurable results for our pupils and teams. Outcomes First Group operates a number of specialist education and care brands across the UK, including Blenheim Schools, each delivering tailored provision to meet the diverse needs of children and young people. To find out more about our segments and expert services, visit: _ The role: We are looking for a Senior Speech and Language Therapist to join our in-house clinical team. Working collaboratively with the education team, you will deliver bespoke Speech and Language Therapy assessment and intervention to pupils who may have experienced developmental trauma, be neurodivergent or have SEMH needs. You will work within the standards provided in the OFG Speech and Language Therapy Ways of Working. This will guide your practice within an education setting and clarify your roles and responsibilities, while taking into account the requirements of your governing and professional bodies. You will be given responsibility for holding a Speech and Language therapy caseload, with the full support of your designated clinical supervisor and site lead, also contributing to staff training and consultation as required This post would suit a resilient, creative and enthusiastic individual. Our Clinical Teams help maintain a person-centred, empowering approach always putting the pupils we support at the forefront of everything they do. All our settings maintain a strong safeguarding culture, and the pupils we support are heard, respected, and involved in decisions that affect them. We strive for excellence, which is why we are one of the leading service providers in the UK. With this in mind, we are looking for a Speech and Language Therapist who shares our vision to use innovative approaches to enhance the quality of life and outcomes of the pupils we support. Location: Hillingdon Grange forms part of our Options Autism brand and is an independent specialist day school, supporting children and young people aged 3 – 14 • _, • _ For further information regarding this vacancy please refer to the Job Description and Person Specification attached. Essential Criteria: • Undergraduate or Postgraduate degree in Speech and Language Therapy, • HCPC registered, • 1-2 yrs experience as a fully registered member of the RCSLT working in a similar setting., • Some relevant experience in a previously held job of engaging and working with individuals presenting with complex and diverse communication profiles, • Some knowledge of neurodiversity and trauma informed practice, • Some experience of multi-disciplinary working in a range of settings, • Some experience of communicating with/working with families/relatives and carers, • An interest in developing knowledge and skills in different areas of SaLT practice, • Good relationship building, analytical and judgmental skills, • Good communication skills (oral and written), • Good time management and organisational skills, • Competent in core areas of SaLT practice and clear understanding of RCSLT Communication Standards, • Knowledge of different SaLT assessment tools, types of intervention and knowledge of how to formulate support plans based on needs profile, • Knowledge of legislation and its implications for both clinical practice and professional management in relation to the client group, • Ability to work collaboratively as part of the multi-disciplinary team, • Willingness to attend training and working towards further qualifications relevant to the client group supporting, • Full valid driving licence and access to own vehicle Desirable: • Some understanding of the other differences, e.g. sensory and motor, which may impact on an individual’s communication strengths, differences, traits, difficulties and needs profile, • Some evidence of understanding the relationship between arousal levels and communication, • ASD experience Why work for us? Alongside working with a network of over 350 clinical colleagues with regular forums for peer reflection and practice development, Outcomes First Group offer an array of flexible benefit options: Benefits Your health and wellbeing are important to us, so you’ll get an exceptional reward and flexible benefits package including: • Life Assurance, • Pension scheme with options to increase your contributions, • “Your Wellbeing Matters” – access to a wide range of first-class mental health support services and physical heath checks, • Family Growth Support - inclusive benefits package covering enhanced maternity and paternity leave, along with paid fertility treatment support., • A wide range of health, wellbeing, and insurance benefits, • 100’s of discount options valid in the UK and abroad, • Cycle to Work Schemes, • Electric Car Purchase Scheme, • Critical illness cover, • £5000 Welcome Bonus, • £2000 CPD Training Allowance At Outcomes First Group we are committed to the safeguarding and promoting the welfare of our pupils and young people. All successful applicants will be subject to social media checks and successful applicants to a fully enhanced DBS We reserve the right to close vacancies early, please submit your application at the earliest opportunity. Outcomes First Group is committed to carrying out a fair, thorough and efficient recruitment process in line with Keeping Children Safe in Education. Whilst we aim to keep applicants informed throughout, Outcomes First Group does not accept liability for any loss of earnings or other associated costs incurred by applicants as a result of delays or changes in the compliance process. All stages of the compliance process are subject to necessary safeguarding checks and compliance with statutory requirements, which may affect timescales. Job Ref: 310347 #speechltherapy#speechandlanguagetherapy#CareersinEducation#SpecialEducation#CareersinCare #CareersinSpecialEducation #Therapists

Job Location Weybridge Job Description Looking for a role where your ideas matter, your growth is supported, and your impact is real? At P&G, we believe in building talent from within. That means you’ll start strong and grow even stronger. This is a unique opportunity to join the sales team as a Senior National Account Manager - with roles available in Weybridge, Surrey! Overview Of The Role We are recruiting for specific Senior National Account Management roles across our top customers in several key brand and product categories. Final portfolio assignments will be made at a later stage in the process, ensuring the best fit, for both you and the business. This flexibility allows us to match your strengths with the right opportunity. As a Senior National Account Manager, you will lead strategic account management across key categories and retail partners, crafting and selling tailored customer plans that drive mutual growth and outperform the competition. Business responsibility can vary, but most SNAM roles have a sales target between £20mil-£100mil. Responsibilities: • Create and execute winning customer plans., • Lead negotiations and manage trade budgets., • Collaborate with cross-functional teams to deliver seamless execution., • Monitor performance and adjust strategies to stay ahead., • Drive efficiency in forecasting and supply chain planning., • Be a visible leader and influencer across the business. What you can expect: • Meaningful work from Day 1: From Day 1, you’ll be working some of the UK’s best loved brands. You’ll be given the space and opportunity to bring your experience, energy, and new perspectives to make a genuine impact right from the start., • Continuous Development: Our culture is built on a foundation of continually developing our people. At P&G we offer a career, not just a job, and will empower you to become the best at what you do through continuous learning opportunities, a varied career path, and the opportunity to work alongside inspiring people., • Empowering Culture: You will collaborate on impactful projects within a supportive environment where the company values are always embraced and expressed, and diversity is celebrated. What we offer you: • Head Office Location: This role is based in our UK Head Office in Weybridge, Surrey which is an easy commute from London with regular trains from Waterloo and a free shuttle service from the station to the office. There is free on-site parking with access to dedicated electric vehicle charging points. There is also an on-site Costa Coffee, discounted restaurant for breakfast and lunch and a state-of-the-art gym facility., • Flexibility: We operate a flex at work approach, with flexibility built into the role. Our UK Sales Team spend 3 days of their week collaborating together in our offices or at our external partners or customers. This is balanced with 2 of their days spent on focused work which most tend to do from home. Of course, we do a bit of both every day, but we encourage our teams to choose where they work based on the jobs to be done., • Competitive Compensation and Benefits: P&G take a Total Rewards approach meaning on top of your salary, which is reviewed annually, you can expect a whole range of benefits. These include a generous Double Match Pension Scheme; Private Medical Insurance; P&G Contributed Share Programme; 25 Days' Holiday, Onsite Gym, and your very own ‘Flex4Me’ Fund which enables you to allocate a portion of your benefits package to the areas that matter most to you. Job Qualifications We would love to hear from you if you have: • Account management experience with the UK&I ‘s leading retailers, or experience within FMCG as a buyer working for a leading retailer., • A proven record of delivering outstanding business results and exceeding targets., • A clear understanding of how to execute winning plans with key retailers., • Experience managing and improving efficiency of sales forecasts and trade funds budgets., • Successful examples of leadership and passion for winning., • Hold a valid UK Driving License. Right to Work: For this role, P&G are willing to provide sponsorship to those who require a visa to live and work in the UK, subject to meeting all the necessary Home Office requirements. Full details on visa restrictions can be found on the Home Office website and immigration rules are subject to change. P&G is legally required to ensure all candidates have the right to work in the UK from Day 1 of their employment. All applicants will therefore be asked to provide evidence of their right to work at the conclusion of the recruitment process as a condition of employment. At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click _ if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. Job Schedule Full time Job Number R000140926 Job Segmentation Experienced Professionals Starting Pay / Salary Range

Job Location Weybridge Job Description Ready to take the wheel on some of the world’s most trusted brands? Are you passionate about digital commerce, energized by building partnerships, and excited by the idea of shaping the future of professional channels? If you’re looking to accelerate your career with industry‑leading development and real ownership, this could be your next career step. Procter & Gamble (P&G) is one of the world’s largest consumer goods companies owning globally iconic brands such as Gillette, Fairy and Oral-B. P&G Pro is an exciting and growing part of the company which manufactures and markets away from home products, bringing the innovation behind brands like Fairy, Flash and Ariel to professional end users across Hospitality, Healthcare and Restaurants. This is a unique role where you will lead and shape the Digital Commerce agenda for P&G Pro in the UK & Ireland. You’ll play a pivotal part in accelerating growth by creating standout digital shopping experiences, building powerful partnerships, and setting the direction for how P&G Pro wins online — today and tomorrow. What you’ll do: • Drive Winning Commercial Strategies: Design and implement winning commercial plans by aligning internal teams and collaborating with external partners to optimize strategies across wholesalers and buying platforms., • Selling and Partnerships: You will bring plans to life through strong selling and influencing, building trusted partnerships that translate strategy into impactful commercial outcomes., • Thought Leadership: Serve as the UK&I channel expert, articulating strategies for immediate and medium-term success, while applying insights from other channels to inform optimal plans for Professionals., • eContent Development: Oversee the evolution of eContent to enhance consumer engagement, facilitate navigation, and drive sales performance., • Search Optimization: Develop and manage traffic generation and conversion strategies to maximize performance and ensure an optimized return on investment., • Data-Driven Decision Making: You will analyze performance data to generate actionable insights that guide strategic direction, unlock new opportunities and drive continuous improvement., • Cross-Functional Collaboration: You will work closely with Brand, Finance, Account Managers and European leadership teams to ensure strong alignment and high‑quality execution across all workstreams. What we offer you: • Meaningful Work from Day 1: From Day 1, you’ll be owning your part of the business and helping it to grow. You’ll be given the space and opportunity to bring your experience, energy, and new perspectives to make a genuine impact right from the start, supported with continuous and supportive coaching from your manager and the wider team., • Competitive Benefits: P&G take a Total Rewards approach meaning on top of your competitive salary, which is reviewed annually, you can expect a whole range of benefits including: a double-matched pension scheme, private health insurance, participation in a stock ownership scheme, 25 days holiday and your very own ‘Flex4Me’ Fund which enables you to allocate a portion of your benefits package to the areas that matter most to you., • Head Office Location: This role is based in our UK Head Office in Weybridge, Surrey which is an easy commute from London with regular trains from Waterloo and a free shuttle service from the station to the office. There is free on-site parking with access to dedicated electric vehicle charging points. There is also an on-site Costa Coffee, discounted restaurant for breakfast and lunch and a state-of-the-art gym facility., • Flexibility: We operate a flex at work approach, with flexibility built into the role. Our teams spend 3 days of their week collaborating together in our offices or at our external partners. This is balanced with 2 of their days spent on focused work which most tend to do from home. Of course, we do a bit of both every day, but we encourage our teams to choose where they work based on the jobs to be done. Job Qualifications What Will Set You Up for Success • Digital Commerce Expertise: Proven experience in a similar role, with a strong understanding of online sales fundamentals, sponsored search and eContent/ rich content, and a proven track record of delivering business solutions that drive sustainable growth., • Influencing & Selling Capability: You are confident influencing senior stakeholders internally and externally, with the credibility to lead digital thinking for P&G Pro from the outset., • Digital Fluency: You have a deep understanding of digital business drivers and hands‑on experience optimizing content, search and conversion to improve performance., • Partnership Mindset: You have experience working with online retailers to build collaborative, win‑win partnerships; grocery or FMCG experience is a strong advantage., • Leadership & Ownership: Established leadership capabilities, with a proven ability to lead self and others while driving thought leadership in digital commerce., • Execution & Analytical Strength: You combine strong organizational skills with an analytical mindset, using data to inform decisions, manage multiple priorities and deliver consistently high‑quality results., • You hold a valid UK Driving License. Right to Work For this role, P&G are willing to provide sponsorship to those who require a visa to live and work in the UK, subject to meeting all the necessary Home Office requirements. Full details on visa restrictions can be found on the Home Office website and immigration rules are subject to change. P&G is legally required to ensure all candidates have the right to work in the UK from Day 1 of their employment. All applicants will therefore be asked to provide evidence of their right to work at the conclusion of the recruitment process as a condition of employment. At P&G #weseeequal We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click _ if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. Job Schedule Full time Job Number R000144088 Job Segmentation Experienced Professionals Starting Pay / Salary Range

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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & 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"latency," highly reliable " cloud"based "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 data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery.", • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal 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." Nice to have, • U nderstanding 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., • Being a Sports Fan - we immerse ourselves in Sport so having a passion for sport an d a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "also plenty of bike shelters and showers." On campus," you'll "find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon."" We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: 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 experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do: • Technical Mentorship: Act as the technical lead engineers working cross-functionally in an agile environment; act as a top-notch coder and expert in the domain, capable of deep diving into details of components and features, uplifting capability and shaping engineering maturity across the Domain., • Architecture Partnership: Define and guide the technical architecture for complex, high impact data products and platforms. Manage Solution Architects and act as the natural bridge between Data Engineering and Data Architecture as well as colleagues in wider Technology., • Standards Setting: Establish engineering patterns, coding standards, and best practices adopted across multiple squads., • Design & Innovation: Translate sophisticated business and technical requirements into scalable, cloud native data solutions. Able to create and build frameworks to support CI/CD pipelines and future capability; drive adoption of new tools, technologies, and engineering approaches that support a cloud-agnostic, AI-ready future, • Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products., • Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. Work collaboratively with your Principal Engineer peers to ensure consistent and joined-up approaches to our biggest priorities and challenges. Communicating in both deeply technical and plain and simple terms. What you'll bring:, • Technical Mastery: Deep expertise in cloud data engineering, distributed processing, and enterprise-scale data architecture. Excellent GCP/Python and/or Node JS 8+ knowledge, and CI/CD experience (ideally with Jenkins)., • Advanced SQL: Master-level proficiency in SQL (ideally BigQuery ), with strong optimisation and performance-tuning skills. Experience following coding standards and performing peer code reviews., • Data Modelling & Insight: Strong capability in designing intuitive, scalable data models and semantic layers aligned to business meaning; skilled in advanced data profiling, anomaly detection, and statistical reasoning to ensure data integrity., • Collaboration: Able to influence senior stakeholders, simplify complex concepts, and build strong cross-functional relationships., • Technical Leadership: Expert in data quality frameworks, governance standards, and secure handling of sensitive data; connects engineering choices to long-term platform strategy, organisational goals, and future scalability., • Understanding: Uses deep business context within the specific Domain to shape proactive, value-driven engineering decisions; also equipped with first-class communication skills, able to grasp very complex data principles and processes, and decipher them in order to walk non-experts through them and gain support. Team overview: Our vision is to enable Sky's growth ambitions though Data and AI: deepening customer relationships, optimising commercial performance, and enhancing operational efficiency. Our Principal Engineers work within Domains and manage our Solution Architects. With top-notch skills, they act as our Technical Leads, setting and improving standards across the team and helping to raise the bar on what's possible. As a senior role, they're also our bridge into wider teams such as Architecture and Technology, ensuring we work together in harmony in pursuit of our data strategy. Our Residential Products Domain is part of the Customer Directorate within Sky Data. It's where we build and maintain data products and data assets for Sky's Connectivity business - including Sky Broadband and Sky Mobile - as well as Sky TV and Sky Protect. We work within the Value Streams, as part of cross-functional teams driving exciting roadmaps; we also support broader work where we help to transform how things get done. That means we're at the heart of the action, supporting and working on the products that keep our customers connected and protected, and which directly drive their Sky experience. Whether we're helping to create magic on screen via the products people watch or using data and AI to improve how our business is set up behind the scenes, one thing's for sure - this is a winning team that collaborates across Sky to make a genuine difference. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : 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: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. 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's "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.

Summary: The 33KV Senior Authorised Person (SAP) is responsible for the safe control, supervision, and authorisation of all high voltage (HV) electrical systems up to 33kV. This role involves overseeing installation, testing, commissioning, switching, and energisation activities in compliance with relevant safety rules and standards. The SAP acts as the duty holder for HV permits, isolations, and ... ZIPC1_UKTJ

Senior BMS Engineer – £50,000–£60,000 + Company Vehicle – London Location: London Salary: £50,000–£60,000 Sector: Building Management Systems (BMS) An established and fast-growing BMS specialist is seeking an experienced Senior BMS Engineer to join their London-based team. The business delivers intelligent building solutions across a variety of sectors including healthcare, education, commercial, an... ZIPC1_UKTJ

Bring your enthusiasm and creativity to our fun, supportive team, when you join Signature Senior Lifestyle as a Wellbeing and Lifestyle Assistant at our luxury care and nursing home in Surbiton. What Signature Offer • From £13.45 per hour, • Shift times: 10:00-18:00, 14:00-20:00, 09:00-17.30. Alternate weekends required. There may be some occasions where you will finish later depending on events taking pl... ZIPC1_UKTJ

Job Title:Senior Engineer-Airfield/Runway Systems • Full-Time Office/Project, • Work Location: LondonExtraordinary teams building inspiring projects: Since 1898, we have helped customers complete more than 25,000 projects in 160 countries on all seven continents that have created jobs, grown economies, improved the resiliency of the world's infrastructure, increased access to energy, resources, and vital ... ZIPC1_UKTJ

The German School London has a unique opportunity for an experienced Nursery Manager/ Head of Early Years Education to join our international Kinderhaus. About the DSL The DSL is part of the network of German Schools Abroad and has over 880 children and young people from over 30 nations. We are an international, cosmopolitan community that embraces diversity and we strive to prepare our pupils for their lives in a global contexts and local responsibility, while promoting their independence. Children from 1 – 6 come togetherand grow together in the Kinderhaus. In two separate settings with bright buildings, everything is tailored to the needs of our youngest children. The provisions consist of Sudbrook Kinderhaus and DSL Kinderhaus. The Role The Head of Kinderhaus provides strategic and operational leadership for the Early Years provision (ages 1–6) across two sites: Deutsche Schule London and Sudbrook School. The role is responsible for the effective delivery, development and management of a high-quality bi-lingual Early Years programme. The position ensures consistent educational standards in line with regulatory frameworks, including German school guidelines and the UK Early Years Foundation Stage (EYFS). Reporting to the Headteacher and working closely with the Director of Sudbrook School, the role contributes to the overall strategic direction of the organisation. Key Responsibilities • Lead the day-to-day operations of the Kinderhaus, including staffing, scheduling and budget management, • Ensure compliance with all relevant regulations (EYFS, safeguarding, health & safety, German school standards), • Maintain a high-quality, inspiring and nurturing learning environment, • Oversee curriculum development and support effective teaching and learning, • Monitor children’s progress and ensure appropriate support for individual needs, • Work closely with SENCo and specialists to support children with additional needs, • Build strong relationships with parents through regular communication and meetings, • Recruit, develop and manage staff, including training and performance reviews, • Foster a collaborative team culture and ensure smooth operations across both sites, • Represent the school to prospective families, including tours and admissions processes, • Lead and support events (e.g. open days, school events), • Contribute to the senior leadership team and strategic planning, • Balance educational excellence with commercial awareness to support sustainable operations Requirements • Degree or equivalent in Early Childhood Education, Social Sciences or related field (Level 4/5, EYTS or QTS preferred), • Fluent in German and English (written and spoken), • 5–10 years experience in early years education, • Excellent organisational, communication and leadership skills, • Ability to motivate teams and work effectively under pressure, • Safeguarding training (Level 3), • At least 2 years leadership experience (team management, planning, budgeting), • Strong knowledge of child development, EYFS and German early years standards What’s on offer • Competitive salary, • Paid holiday (exceptions apply on certain days), • Enhanced sick pay, • Autonomous working and being part of the Senior Leadership Team, • Career development opportunities, • Employee discount schemes, • Employee Assistance Programme (EAP), • High-quality canteen with very reasonable prices, • Free parking, • Excellent pension scheme, • Awards for long service / gifts to mark career milestones, • Events / team-building activities The School has as sponsorship licence and will support the visa process. Recruitment Process Applications must include a Covering Letter and CV, stating how the applicant meets the requirements of the job. The School has a continuous, three stage interview process, and reserves the right to close the recruitment process early. Application deadline: 31 May 2026.

Job Overview:This is an excellent opportunity for an experienced and proactive Senior HR Generalist to join the supportive and collaborative HR team at Delice de France. You will play a key role in providing comprehensive HR support across all areas of the employee lifecycle, ensuring that people processes operate efficiently, accurately, and in full compliance with company policies and UK employm... ZIPC1_UKTJ

My client is a well-established & highly reputable accounts practice in need of an experienced Client Manager / Practice Accountant. This role pays up to £50,000 and is based in Richmond (South West London / Surrey). It is a full-time, 5-day-a-week office-based position, with no work-from-home options. To be considered for this position, you will have previous experience with an accounts practic... ZIPC1_UKTJ

Permanent, Full Time Please note that this post is funded for the 2026/27 academic year onwards so the successful candidate would not be expected to commence in post prior to August 2026. The Head of TLA, CPD & Digital TLA is the Groups senior lead for pedagogical excellence, professional learning and delivery of the Teaching, Learning & Assessment strategy across South Thames Colleges Group. This r... ZIPC1_UKTJ

Develop your passion for food within a highly equipped kitchen, in-house bistro and fine dining restaurant, as part of our caring and supportive team, when you join Signature Senior Lifestyle as a Chef de Partie at our luxury care and nursing home in Surbiton. What Signature Offer • From £14.45 per hour, • Shift times: 07:00-15:00, 12:00-19:00. Alternate weekends required., • Full Time: 37.5 hours per week, • Ban... ZIPC1_UKTJ

Senior FP&A Analyst (Contract) 6 Months Location: Kingston (Hybrid 2 days onsite) Were supporting a well-established, global technology-led business as they go through a major ERP transformation. As part of this, they are looking to bring in an experienced Senior FP&A Analyst to support their UK finance team on an initial 6-month contract. This role will act as a key backfill while a senior team me... ZIPC1_UKTJ

We want your eye for detail and practical skills to keep our luxury care and nursing home in Surbiton as functional as it is beautiful, when you join Signature Senior Lifestyle as a Maintenance Assistant. What Signature Offer • From £13.45 per hour, • Monday to Friday 09:00-17:30, • We require you to be flexible to support with any home emergencies or weekend events, • Up to 30 days annual leave, plus 8 bank holi... ZIPC1_UKTJ

Do you wish to bring your passion, flair and experience to a hands-on role supporting the Hospitality Manager front of house, serving our residents and their visitors the excellent food our chefs produce as a Food and Beverage Supervisor, at our luxury care and nursing home in Surbiton. What Signature Offer • From £15.10 per hour, • Shift times: 08:00-16:00, 12:00-19:30. Alternate weekends required., • Full t... ZIPC1_UKTJ

Chase Buchanan Senior Sales Negotiator Location:Isleworth Base Salary:£28,500 OTE:£55,000 Hours:Monday to Friday 08:45 to 18:00, Saturday 09:30 to 16:30 (1 in 3) We are currently recruiting for an exceptional Senior Sales Negotiator to join our successful team. We are looking for an individual who wants to stand out from the crowd, thrive on success and relish working in a competitive, professional envi... ZIPC1_UKTJ

About Us: Richmond Borough Mind has been delivering mental health support to people and their carers in the local community for over 65 years, and we are seeking an experienced Senior Support Worker to join our Emotional Wellbeing Service. The Role: The Emotional Wellbeing Service (EWS) provides support to those experiencing and recovering from mental ill health. The Senior Support Worker plays a key role in delivering high-quality, strengths-based emotional wellbeing and prevention services for adults across Richmond. The role supports individuals to build resilience, improve wellbeing, reduce crisis and achieve personal outcomes through strengths-based assessment, personalised support planning, risk management and trauma-informed practice. Key Responsibilities: · Provide structured 1:1 and group-based emotional wellbeing support in line with strengths-based and recovery-focused principles. · Complete trauma-informed, strengths-based assessments and co-produce personalised support plans within specified timescales. · Deliver flexible support in the community venues, homes, online and by phone to maximise accessibility. · Use evidence-based tools (e.g. solution-focussed scaling, WEMWEBS) to support and measure progress. · Support clients of the service to build coping strategies, independence, social connection and community participation. · Provide support to individuals experiencing distress, escalation or early crisis, using de-escalation and trauma-informed approaches. About You: The successful candidate will have experience of delivering 1:1 support in the community and within people’s homes as well as delivering group-based intervention. The successful person will also have experience of working with a range of mental health conditions across the spectrum of recovery and be able to support those with complex needs such as (but not limited to) substance use, complex trauma, housing and debt issues, relationship challenges, social isolation and financial issues. We offer: · 25 days annual leave plus bank holidays per year, increasing by 1 day per full year of service (up to a maximum of 30 days) [pro rata] · Contributory pension · Bonus 1 day of annual leave per year over the festive period (pro rata) · Employee Assistance Programme (EAP) which includes free counselling sessions · Training and personal development opportunities · Paid time off for medical appointments · Staff away days and socials The successful candidate will be subject to a Disclosure & Barring (DBS) check.

Deputy Manager – Children’s Residential Home (EBD) Location: Greenford, UB6 Salary: £40,000 – £45,000 We are seeking an experienced Deputy Manager to join a small Ofsted-registered children’s residential home supporting up to 3 young people with Emotional and Behavioural Difficulties (EBD). This is a fantastic opportunity for a strong and confident leader with a background in children’s residential care who is passionate about making a real difference in young people’s lives. Key Responsibilities: • Support the Registered Manager in the day-to-day running of the home, • Lead shifts and ensure the smooth operation of the service, • Provide high-quality care and support to young people with EBD, • Promote a safe, nurturing and stable environment, • Support care planning, risk assessments and safeguarding processes, • Lead by example and mentor staff on best practice, • Ensure compliance with Ofsted regulations and internal policies Requirements: • Previous experience as a Deputy Manager or Senior Residential Support Worker, • Strong understanding of Ofsted regulations and children’s residential care standards, • Experience working with young people with EBD, • Leadership skills with the ability to motivate and support a team, • NVQ Level 3/4 in Residential Childcare (or equivalent) If you are a dedicated and experienced professional looking to take the next step in your career, we would love to hear from you.

Job Title: Systems Engineer Location: Greenford, London UK (Hybrid working available) Salary: Up to £60,000 per annum About the Role We are seeking a motivated and ambitious Systems Engineer to join a growing engineering team delivering advanced maritime and defence technology solutions. The organisation specialises in the design and development of cutting-edge sonar and anti-submarine warfare systems used in naval operations worldwide. This is an excellent opportunity for an engineer with early career experience to gain exposure across the full systems engineering lifecycle while contributing to complex, mission-critical projects in a highly innovative environment. Key Responsibilities • Support the delivery of systems engineering activities across the full project lifecycle, from concept through to in-service support, • Assist with requirements capture, analysis, and management activities, • Contribute to system design, integration, verification, and validation processes, • Produce and maintain technical documentation and systems engineering artefacts, • Collaborate with multidisciplinary teams including software, hardware, and mechanical engineering, • Support system testing to ensure performance, compliance, and operational effectiveness, • Participate in technical reviews, design reviews, and engineering discussions, • Assist in identifying and resolving technical issues throughout project delivery Key Requirements • 2-3 years' experience within a Systems Engineering or related engineering role, • Understanding of the systems engineering lifecycle and methodologies such as the V-Model, • Experience using requirements management tools such as DOORS, Jama, or similar, • Strong analytical, problem-solving, and communication skills, • Ability to work effectively within cross-functional engineering teams, • Degree qualified in Engineering, Physics, or a related technical discipline Desirable Skills • Experience working within defence, maritime, aerospace, or other highly regulated industries, • Knowledge of systems integration and verification activities, • Familiarity with modelling and simulation tools such as MATLAB, Simulink, or SysML, • Understanding of configuration management and change control processes What's on Offer • Competitive salary up to £60,000, • Hybrid working arrangements, • Opportunity to work on innovative and impactful defence technologies, • Clear career development and progression opportunities, • Exposure to complex, high-profile engineering programmes

LR Talent are exclusively working with a major London estate with the appointment of a Technical Services Manager. This is a strategic role overseeing technical operations, compliance and infrastructure across a large, high‑profile business campus. Key Responsibilities: • Lead the technical, MEP and compliance strategy across a large multi‑building estate, • Oversee statutory compliance, including water safety, electrical safety, HV/LV systems, RAMS and permit processes, • Manage technical projects, lifecycle works and monthly HV/LV shutdowns, • Drive energy, water and sustainability initiatives across the estate, • Lead and develop technical teams, ensuring high standards of delivery and performance, • Manage contractor relationships, tender processes and supplier performance, • Oversee budgets, forecasting, service charge planning and financial reporting, • Provide technical oversight for tenant alterations, wayleaves and estate improvements, • Monitor estate condition, identify risks and ensure safe, efficient operations, • Collaborate with senior leadership, operations and guest‑experience teams on estate‑wide initiatives What they’re looking for: • A technical leader who started on the tools (apprenticeship/engineering route) and progressed into estate‑level management, • Strong statutory compliance knowledge across water, electrical, HV/LV, RAMS and permits, • NEBOSH (essential) and ideally NEBOSH Fire, • HV/LV competencies and preferably AP status, • Project management qualification and experience delivering complex technical works, • Confident managing budgets, lifecycle planning and contractor performance, • Experience leading technical teams in large, multi‑building environments Package & Location • 5 days on site at a major West London estate, • £75,000 – £85,000 depending on experience, • Excellent company benefits and long‑term career development opportunities

Clinical Lead / Registered Nurse (Domiciliary Care & Dementia) Chiswick, West London £45,000–£50,000 + bonus CQC Outstanding service Home Instead Chiswick is an Outstanding-rated domiciliary care service with a strong reputation, a well-established private client base, and a 16-person office team. We’re now looking for a Clinical Lead / Registered Nurse to join our nurse-led leadership team, working alongside both our Registered Manager and Head of Care, who are experienced Nurses. This Clinical Lead role is a community-based leadership position, designed for a Registered Nurse who wants to move beyond traditional settings into a more relational, person-centred model of care. This role will suit: • A Registered Nurse with solid post-registration experience (ideally Band 6 level or equivalent), • Nurses with meaningful exposure to dementia and/or complex care, • A Clinical Lead or aspiring Clinical Lead confident in clinical decision-making and risk management, • Nurses who value relationship-led, person-centred care, • A Registered Nurse looking to step into a more community-based, leadership-focused role To be successful as a Clinical Lead / Registered Nurse, you will need: • Active NMC registration (RGN, RMN, or RNLD), • Strong UK-based experience as a Registered Nurse, • Experience supporting people with dementia and/or complex care needs, • Confidence working autonomously and supporting care teams and families, • Ability to work in a community-based role across West London The Clinical Lead role: • Provide clinical oversight (dementia and complex care), • Support and develop care professionals and office team, • Act as a senior Registered Nurse within the service, • Support families in more complex situations, • Drive quality, governance, and best practice, • Contribute to service development and growth This is a hands on Clinical Lead role, split between our Chiswick office and client visits in the community. We offer the opportunity for a Registered Nurse to step into a genuinely supportive, clinically led environment where quality of care, relationships, and professional development are prioritised. If you are a Registered Nurse or Clinical Lead and this aligns with your experience, we’d welcome your application.

Company Description Therapy4kids is an award-winning private pediatric therapy practice based in South West London, specializing in Physiotherapy, Occupational Therapy, Speech and Language Therapy, and Clinical & Educational Psychology. We pride ourselves on providing hands-on, child-friendly therapy in a nurturing and relaxed environment to help each child reach their full potential. Our dedicated and multidisciplinary team works collaboratively to deliver exceptional care. Therapy4kids received the 2023 Merton Business Award for Team of the Year, showcasing our commitment to excellence in service and expertise. The role We have an exciting opportunity for a qualified, HCPC-registered Clinical Psychologist with experience working with children and young people to join our dynamic team. We are looking for someone to provide assessments and therapy to children and young people at our Raynes Park practice, as well as virtual therapy if required. The role is predominantly clinical (70–80%), and also includes clinical supervision, governance and service development responsibilities. Some experience in a similar setting is preferable. Experience providing cognitive, ADHD and Autism assessments is favourable. What we offer Therapy4kids provides a high-quality therapy service with extensive collaborative working within our friendly team. You would become part of an existing dedicated team of therapists who strive to always deliver best practice. We are looking for a like-minded practitioner who is motivated and passionate about supporting children and young people and their families. There are extensive in-house CPD opportunities including supervision, clinical team meetings, peer support sessions, joint-working and access to external training courses. Additional: Performance bonus scheme Schedule: Monday to Friday / or any 4 Weekdays plus Saturday. Full-time preferred (flexible, or part-time considered) Job Types: Full-time, Part-time, Fixed term contract, Temp to perm Benefits: • Casual dress, • Company events, • On-site parking, • UK visa sponsorship

Senior Systems Engineer £67.47 p/hr (Inside IR35) 3-4 days on site - KT3 4LH 12 months The SMCS Senior Systems Engineer will be a key part of the Systems Team, tasked with developing the SMCS programmes. They will ensure the behaviour of the system is defined via requirements, assist with the design of functionality and support verification of the product. The ‘Systems’ team’s work encompasses system design, requirements & acceptance management, hardware design & maintenance and other general systems engineering considerations such as Security, Safety, Human Factors, Performance, Availability & Reliability. Core Duties • Maintain the Requirements database with associated contractual and acceptance details., • Take a lead role in the testing and acceptance process for both hardware & software releases., • Lead activities to support the Systems team with:, • Elaboration and agreement of system requirements understanding the change in system capability against an established design baseline., • Development of design specifications and carry out design activities in line with specifications and all quality and technical standards., • Developing, maintaining, and improving engineering processes and procedures in assigned areas in response to technical developments and operational need., • Coordination and completion of technical analyses and investigations, including evaluation and selection of technical options, and prepare reports/presentations with suggested recommendations to support the design of improvements., • Review/agreement of External Interface documents and management of interface baseline., • Leading other engineering activities such as performance testing, human factors, safety analysis, information assurance etc. The role holder must have: • Experience of working with Software Systems, • Experience of developing and enhancing a software product based on business requirements, • Has had exposure to regulatory and statutory requirements of Software products and understands potential liabilities

Job Title - Aesthetics Practitioner Location - Chiswick & Clapham Hours of work - Full time The Harley Medical Group and sk:n clinics are now part of the same Group that owns Optical Express and ACES, two of the leading ophthalmology providers, dedicated to giving both private and NHS patients world class levels of service and clinical care. We are seeking an Aesthetic Practitioner to join our friendly, reliable and talented team at our Chiswick Clinic as well as working within our Clapham clinic. Please note candidates must be flexible with late shifts and Saturdays. The Role: As part of your role as beauty/laser Practitioner, you will be responsible for meeting and greeting your clients, supporting and advising them on suitable treatments and products available to them and carrying out a wide range of advanced treatments. With outstanding levels of customer service and a genuine care and passion, you will be supporting your clients gain and achieve greater self-confidence through better skin! You will also be supporting with reception, diary management, and general administration and retailing of products. Experience, Qualifications and Personal Qualities: • Qualified to Level 3 in Beauty Therapy (or equivalent), Level 4 is highly desirable., • A minimum of 1 years’ experience within either an Aesthetics, Day Spa, Beauty Counter or Salon environment., • Team player, with a positive can do attitude., • Passionate about giving great customer service., • Experience of working to sales targets and be happy to get involved with promotional activity, • You should be willing and able to work evenings and weekends. What we offer: We offer genuine opportunities for career progression within the group and we have a structured career path for Practitioners to become Senior and Advanced Practitioners. We are the UK’s market leader within the rapidly expanding Aesthetic and Cosmetic industry and proud to be the leading dermatology, laser and skin experts with decades of experience. Treating over 25,000 clients each months through our nationwide network of over 50 clinics, we have a truly recognisable brand which have been carefully built over 25 years on the foundations of efficiency, knowledge and trust. What's in it for you? • A competitive hourly rate plus industry leading bonuses and commission, • Free Laser Eye and Intraocular Lens Surgery, • Discounts on prescription eyewear and sunglasses, • Generous Optical Express family & friends discount, • 33* days annual leave FTE, • Extensive training in the life changing treatments that we offer, • Workplace Pension Scheme If this sounds like the career path you have been looking for, we look forward to hearing from you! Please apply now by uploading your CV. This is a fantastic opportunity to join a global organisation where you will have the opportunity to grow and develop within a professional working environment. Optical Express is an equal opportunities employer.

A highly respected engineering and technology organisation is seeking a Systems Engineer to support the delivery of complex, high-profile programmes within a secure and regulated environment. This is an excellent opportunity to join a multidisciplinary engineering team working on advanced integrated systems that support critical operational capabilities both in the UK and internationally. The Position The successful candidate will play a key role in delivering systems engineering activities across the full project lifecycle, from early requirements capture through to integration, validation and final delivery. Working closely with cross-functional engineering teams, you will help ensure technical solutions are delivered to the highest standards of quality, compliance and performance. Key Responsibilities: • Deliver systems engineering activities across multiple project phases, • Produce, review and maintain technical documentation and specifications, • Support major design reviews and engineering assurance activities, • Work with internal teams and external suppliers to ensure technical alignment and delivery, • Review technical requirements and provide engineering input throughout programme execution, • Collaborate with software, hardware, safety, verification and integration teams, • Contribute to technical planning, risk management and project estimation activities, • Ensure solutions are delivered in line with programme schedules, quality standards and customer expectations Skills & Experience Required: • Degree qualified in Systems Engineering, Electrical Engineering, Software Engineering or a similar discipline, • Previous experience within defence, aerospace, maritime or another regulated engineering sector, • Strong understanding of systems engineering principles including requirements management, integration and verification, • Experience with control systems, PLC/SCADA or operational technology environments, • Familiarity with model-based engineering tools such as Enterprise Architect, • Experience using requirements management tools such as DOORS, • Strong communication and stakeholder management skills, • Understanding of safety-critical or environmentally regulated systems Desirable Experience: • Exposure to verification and validation activities including EMC or environmental testing, • INCOSE accreditation or similar professional recognition Additional Information • Due to the nature of the projects involved, applicants must be UK Citizens and eligible to obtain UK Security Clearance. Benefits: • Salary: £65,000 – £72,000, • Performance-related bonus scheme, • Private healthcare, • Life assurance, • Hybrid and flexible working arrangements, • Compressed working pattern with additional time off, • Holiday buy/sell scheme, • Professional development and training support, • Relocation assistance may be available

Lead Embedded Software Engineer Location: Ealing Area – With Hybrid Working from Home Salary: Up to £80,000 + Extensive Benefits The Role KO2’s client is looking for a Lead Embedded Software Engineer to drive the development of robust, scalable embedded software solutions for next-generation electric products. This role combines hands-on technical delivery with small-team leadership, offering the opportunity to influence architecture, mentor engineers, and shape the future direction of embedded platforms. You will play a key role across the full product lifecycle — from early-stage prototyping and system design through to production, manufacturing, and long-term product support — while helping build engineering best practices and delivery capability within the team. Key Responsibilities • Lead the design and development of high-quality embedded software that is efficient, maintainable, scalable, and production-ready, • Provide technical leadership to a small embedded software team, supporting task planning, technical direction, mentoring, and code reviews, • Collaborate closely with hardware, systems, and manufacturing teams to support board bring-up, debugging, integration, and system validation, • Own key architectural decisions, helping define software frameworks, coding standards, development processes, and long-term platform strategy, • Design, implement, test, and maintain embedded software for internally developed electric systems and connected devices, • Investigate and resolve complex real-time issues relating to timing, performance, reliability, and signal integrity, • Support continuous improvement initiatives across tooling, automation, testing, and development workflows, • Contribute to project planning, technical estimation, risk management, and delivery milestones, • Champion engineering best practices including documentation, version control, CI/CD, and software quality standards About You • Strong commercial experience developing embedded software in C and C++, • Proven experience leading or mentoring engineers within a small technical team or project environment, • Strong understanding of embedded systems architecture and full software development lifecycle practices, • Experience developing RTOS-based applications, • Hands-on experience with embedded communication protocols such as BLE, CAN, I2C, UART, or SPI, • Comfortable working across hardware/software boundaries, including debugging and system integration, • Experience using version control systems, particularly Git, within collaborative development environments, • A proactive technical problem-solver with strong analytical and root-cause investigation skills, • Ability to communicate effectively with both technical and non-technical stakeholders Desirable Skills • Exposure to functional safety standards such as ISO 13849 or ISO 26262, • Experience with CI/CD pipelines and modern development tooling (e.g. Jenkins, Docker), • Familiarity with Python for automation, tooling, or test development, • Experience contributing to technical roadmaps, architectural strategy, or platform standardisation Why Apply? This is an excellent opportunity for a senior embedded engineer ready to step into a lead role — or an existing lead engineer looking for greater technical ownership and influence within an innovative engineering environment developing advanced electric products. Apply today with an up-to-date CV