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Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Our studios are considered one of the foremost motion picture and television production and post-production facilities in the world. They inform, engage, and transport audiences to new worlds. The key to that lies with our Studio Operations group, which includes areas like soundstage/backlot set rentals, events, design, culinary, construction, landscaping and much more. Whether it’s hosting an unforgettable studio tour, creating an optimal workspace, or equipping talent to tell the best stories, these teams lay the foundation for the memorable experiences we provide. Your New Role… We have an exciting new position for a Team Leader to join our Technical Services team here at the Warner Bros. Studio Tour London - The Making Of Harry Potter (WBSTL). Our Technical Services department maintain all show related aspects of the Studio Tour including (but not limited to) lighting, sound, video, sets, props, show control and associated hardware and software. By working closely with the original filmmakers and a select pool of suppliers and third-party contractors, Technical Services ensure the Studio Tour operates to the highest standards and follows industry best practice to deliver a consistent, safe and exceptional visitor experience. As Team Leader you will support the management of the Technical Services team, leading a dedicated team of professionals whilst ensuring the smooth running of all show-related systems. Your Role Accountabilities... * Lead and manage the Technical Services Team ensuring all show-related systems across the Studio Tour are maintained to the highest operational and presentation standards. * Support the delivery, maintenance and continuous improvement of all show systems. * Provide senior technical support and guidance to the technical team, ensuring technical best practice is followed in the maintenance, installation and operation of Tour assets * Work collaboratively with filmmakers and creative stakeholders to retain knowledge of set build and maintenance and ensure this is embedded into ongoing technical operations. * Deputise for Management team as required, representing the department and ensuring continuity of technical leadership. * Maintain operational competency across all technician roles, leading by example to support operational delivery and ensure team resilience, credibility and continuity. * Promote and maintain a strong health and safety culture within the Technical Services Team, (including compliance for risk assessments, safe systems of work, RAMS and relevant legislation). * Champion show quality and guest experience by proactively identifying, reporting and resolving technical issues that may impact presentation standards. Qualifications & Experiences... * Proven track record (four years+) in a similar technical maintenance role within the entertainment, theatre, attractions, or live experience industry. * Detailed understanding with demonstrable technical and maintenance expertise of show technical systems including show control and networked lighting systems * Familiarity with electrical systems and wiring * Previous experience working within an operational and customer-facing environment where there are significant numbers of the general public on site. * Previous experience of successfully supporting the management and development of team members would be advantageous. * Fully conversant with, and able to demonstrate an up-to-date working knowledge of relevant statutory and legislative regulations. * Proven practical knowledge of Health & Safety regulations and safe working practices, including production of risk assessments, method statements and standard operating procedure policies. * Strong IT skills with a sound working knowledge of Microsoft Office. * Ability to collaborate effectively with others to support the wider aims of the business, whilst remaining flexible and adaptable within a dynamic and demanding operational environment. * Proven organisational and planning skills. * Understanding of work order / facilities management systems and workflows. * Proficient and conversant with workshop machinery, processes and health and safety. * Training in temporary electrical systems (BS7909). * IOSH Qualified * Working knowledge of ADIPS and HSG175 standards. * Engineering competency across electrical, mechanical and pneumatic systems. * IPAF 3a/3b and forklift certification Working Pattern This is a full-time position, averaging 40 hours per week. The role operates on a mix of early, mid and late shifts including weekends to support the operation of the Tour as well as overnight shifts for maintenance works. #SO Onsite Working - This role is advertised as Onsite, meaning all working hours and days (regardless of shift pattern) will be carried out at the place of work. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement, where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ___ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our ___ for instructions to submit your request.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Our studios are considered one of the foremost motion picture and television production and post-production facilities in the world. They inform, engage, and transport audiences to new worlds. The key to that lies with our Studio Operations group, which includes areas like soundstage/backlot set rentals, events, design, culinary, construction, landscaping and much more. Whether it’s hosting an unforgettable studio tour, creating an optimal workspace, or equipping talent to tell the best stories, these teams lay the foundation for the memorable experiences we provide. Your New Role... An exciting opportunity has opened with the Trade Marketing team at Warner Bros. Studio Tour London - The Making of Harry Potter. As Senior Trade Coordinator you will supports the Trade marketing team in the day‑to‑day management of WBSTL Trade partners, ensuring a high standard of customer service and operational delivery. Acting as the main point of contact for WBSTL Trade partners, you will build effective relationships with internal teams and external partners, coordinate and attend Trade shows & events in the UK and overseas and maintain accurate and up‑to‑date administrative processes. You will contribute to the planning and communication of Trade sales activity, monitor partner performance, and help identify new opportunities across key and developing markets. Based at Warner Bros. Studio Tour London, the role supports the Trade team in the UK and beyond. Your Role Accountabilities... • Act as the primary point of contact for WBSTL Trade partners, building and maintaining effective relationships with internal stakeholders and external partners., • Support the growth and promotion of the Studio Tour by coordinating trade activity, including trade shows, sales missions, onboarding new trade partners and representing the business at industry events., • Maintain accurate and compliant trade operations by managing administrative processes, databases, marketing materials, sales presentations, and ad‑hoc projects in line with internal approvals and brand guidelines., • Identify and develop new Travel Trade opportunities in partnership with the Trade Account Manager, supporting annual ticket allocations based on performance, insights, and future growth potential., • Analyse and monitor Trade partner sales performance, work with Insights team to identify trends and provide data‑led recommendations. Qualifications & Experiences... • Confident presenter with strong communication skills (both written and verbal), • Proven influencing and negotiation skills., • Excellent organisation and prioritisation skills with the ability to manage multiple deadlines, • Strong attention to detail., • Proven IT skills with a sound knowledge of Microsoft Office., • Experience in the leisure / tourism / attractions industry an advantage., • Educated to A level standard (or equivalent) with strong representation in Maths and English, • Valid passport essential (international travel required). Please Note: This role will require regular working during evenings, weekends and school holidays which are the peak operating times. #M&C Onsite Working - This role is advertised as Onsite, meaning all working hours and days (regardless of shift pattern) will be carried out at the place of work. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement, where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ___ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our ___ for instructions to submit your request.

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Our studios are considered one of the foremost motion picture and television production and post-production facilities in the world. They inform, engage, and transport audiences to new worlds. The key to that lies with our Studio Operations group, which includes areas like soundstage/backlot set rentals, events, design, culinary, construction, landscaping and much more. Whether it’s hosting an unforgettable studio tour, creating an optimal workspace, or equipping talent to tell the best stories, these teams lay the foundation for the memorable experiences we provide. Your New Role… As a key member of the Buying team within our Worldwide Tours & Retail business, you will support the Junior Buyer in developing and selecting products that deliver against sales, margin, and customer expectations. Working closely with suppliers and internal stakeholders, you will help manage products through the critical path from concept to launch, ensuring timelines are met and standards are upheld. This role offers broad exposure across product development, trading, and cross‑functional collaboration within a globally recognised brand. Your Role Accountabilities… * Support the Junior Buyer to develop a customer‑focused, commercial, and innovative product assortment that delivers category KPIs. * Review weekly sales and prepare for trade meetings. Execute trade actions to minimise any threats and proactively maximise opportunities. * Build strong working relationships with suppliers, contributing to cost price negotiation and product approvals where necessary. * Manage the critical path for product development, proactively highlighting any risks. * Manage the in-house consumer products approval system Starlabs. * Prepare regular comp shop reports by market to develop insight into customer needs, markets trends and competitor activity, providing visibility of licensed opportunities in market. * Manage and develop your Buyers Admin Assistant - managing their workload and development. * Partner with key stakeholders across Merchandising, Design, Ecommerce, Retail, Marketing and Consumer Products globally. Qualifications & Experience… * Experience in a buying head office role, either as an Assistant Buyer or with extensive experience as a Buyers Assistant. * In-depth knowledge of the Harry Potter franchise with an understanding of brand DNA and customer expectations. * Proficient in Microsoft Office; knowledge of Dynamics or similar buying systems is a plus. * Strong analytical skills with attention to detail, commercial awareness and confident product judgement. * Ability to manage multiple priorities effectively in a fast‑paced environment. * Ability to thrive under pressure, making informed decisions and meeting tight deadlines. * Clear, adaptable communication skills, with confidence working with a range of internal and external stakeholders. Working pattern: This is a full-time position (40 hours per week), working Monday to Friday. Flexibility is required to meet the evolving needs of the business. #T&R Onsite Working - This role is advertised as Onsite, meaning all working hours and days (regardless of shift pattern) will be carried out at the place of work. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement, where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at ___ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our ___ for instructions to submit your request.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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 l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports-giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer , you'll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you'll do: You'll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation , real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution-not just single models-while mentoring engineers and data scientists and raising the bar across teams. • Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams., • Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment., • Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data., • Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring., • Design, architect, and operate low l atency , highly reliable cloud b ased AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring, • Proven extensive lead level engineering experience delivering sports insights or sports data-driven ML systems, with clear ownership of technical direction, mentoring, and delivery., • Deep understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights., • Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata)., • Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving., • End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices., • Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary., • Experience designing scalable, low l atency architectures, including real time or near real time data processing (e.g., streaming systems) suitable for live or rapidly evolving sports use cases., • Strong communication skills with the ability to inspire, guide, and clearly articulate complex strategies to executives, cross-functional teams, and stakeholders. The rewards There's one thing people can't stop talking about when it comes to #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 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.

Avenues is a community where people smile, laugh, grow and achieve great things. We know that when our team feels supported, they can do amazing work helping the people we care for – it's how we make our vision happen. Fancy a rewarding career in social care or looking for a change that'll make you feel good? We'd love to chat! • Support Worker, • £25,845 per annum, • Radlett near St Albans, • Full-time hours (39 per week) only available No two days are the same, but your day might look like this: • Supporting our people to be engaged in all day-to-day living activities, including making full use of their community and beyond., • Supporting our people with social activities and connecting with family and friends., • Supporting the management of our people’s finances., • Keeping our people’s home clean and fresh, and going shopping., • Providing, and encouraging, personal care., • Benefits you can expect!, • Early Pay – ability to access your earnings more frequently if you wish., • Paid enhanced DBS., • Flexible working., • Paid annual leave (pro rata)., • Access to high quality training that supports your career development., • Contributory pension scheme with life assurance., • Shopping discounts via Blue Light Card and The Bene£its website., • Recommend a friend scheme - earn up to £500. As part of our commitment to the “Disability Confident Scheme”, candidates who declare a disability, and meet the key criteria for this role, will be given the opportunity to demonstrate their abilities at the interview stage. We reserve the right to close a vacancy before the closing date in the event of an overwhelming response or a change in business priorities.

Field Service Engineer (Material Handling Units) £40,000 - £44,000 + Overtime + Door-to-Door Pay + Bonus + Training + Company Vehicle + Fuel Card Watford Are you a Field Service Engineer with experience in mechanical, electrical or hydraulic systems, looking for a well-paid, local patch role with door-to-door pay and strong earning potential? On offer is an excellent opportunity to join a growing materials handling company that invests in its engineers through ongoing training and support. You will work across a localised patch, servicing and repairing a range of forklifts and associated equipment, with a strong focus on first-time fixes and customer satisfaction. Due to continued expansion, the company is looking to recruit a skilled and motivated Field Service Engineer to strengthen their team across the Slough and M4 corridor area. This role would suit an engineer with a background in plant, forklifts, automotive, or similar equipment who is confident working independently in the field and wants a stable, long-term position with good earning potential. The Role: • Service, maintenance, and repair of forklifts and materials handling equipment, • Diagnose faults across mechanical, electrical, hydraulic, and electronic systems, • Attend breakdowns and complete planned preventative maintenance, • Work closely with customers to ensure minimal downtime The Person: • Field Service Engineer or similar background, • Experience with mechanical, electrical, or hydraulic systems, • Full UK driving licence, • Based around Slough, Maidenhead, or North of Reading If you are a Service Engineer, Forklift Engineer, Plant Engineer, or Mobile Technician looking for your next role, apply now. Keywords: Field Service Engineer, Forklift Engineer, Plant Engineer, Service Engineer, Mobile Engineer, Mechanical Engineer, Electrical Engineer, Materials Handling Reference: BBBH 25131 We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position. The offered remuneration will depend on your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying, you accept our T&Cs, Privacy Policy and Disclaimers. Top of Form Bottom of Form

Job Title: Business Development Manager - Commercial Real Estate (CRE)\n\nLocation: West London\n Salary: £65,000 - £70,000 per annum\n Work Arrangement: Fully Office Based\n Employment Type: Permanent\n\nAbout the Role\n\nA West London-based financial institution is seeking an experienced Business Development Manager - Commercial Real Estate (CRE) to join its Intermediary Services division. This role is responsible for the origination and execution of Commercial Real Estate and Commercial Retail credit proposals, alongside the management of key client and introducer relationships.\n\nReporting to the Chief Business Officer, the successful candidate will play a key role in driving growth through high-quality credit origination while ensuring robust risk management and regulatory compliance.\n\nKey Responsibilities\n\nOriginate Commercial Real Estate credit proposals up to £20 million and Development Finance proposals up to £10 million\n\nDevelop, manage, and maintain strong relationships with introducers including brokers, accountants, solicitors, valuers, and other industry professionals\n\nUndertake initial assessment and processing of CRE and Commercial Retail lending proposals, providing clear recommendations prior to submission\n\nPresent shortlisted proposals to the Credit team for underwriting and support approval processes, including Credit Committee submissions\n\nConduct initial reviews, assessments, and investigations to minimise credit risk in line with internal policies and procedures\n\nUndertake site visits where required and prepare supporting assessment reports\n\nMaintain accurate pipeline reporting, tracking proposals through all stages to ensure disbursement targets are met\n\nMonitor market conditions, identify emerging opportunities or risk sectors, and provide strategic recommendations\n\nEnsure all credit decisions adhere to regulatory standards, Treating Customers Fairly (TCF) principles, and Customer First standards\n\nDesign and deliver credit training to branch teams to ensure strong understanding of lending policies and practices\n\nSupport the Chief Business Officer across operational activities within the Retail Credit function\n\nLiaise with solicitors, valuation firms, credit teams, and credit administration to ensure smooth approval, disbursement, and post-disbursement processes\n\nPresent proposals and product introductions or renewals to Risk Committee and other UK management committees\n\nSkills & Experience Required\n\n3-5 years' experience in underwriting or assessing credit proposals, ideally within Commercial Real Estate\n\nStrong knowledge of the UK lending environment and regulatory framework\n\nExisting relationship base with business introducers\n\nProficient in Microsoft Office applications\n\nProven ability to balance commercial objectives with effective risk management\n\nStrong communication skills with the ability to clearly articulate and summarise complex credit arguments\n\nPersonal Attributes\n\nAble to work independently and collaboratively within a team environment\n\nEnthusiastic, proactive, and willing to take on new challenges\n\nHighly organised with strong attention to detail\n\nConfident decision-maker with a measured and analytical approach\n\nWhy Apply?\n\nThis is an excellent opportunity for a CRE professional to join a growing organisation in a senior origination role, offering strong earning potential, exposure to high-value transactions, and the chance to influence credit strategy within a fully office-based environment

BUY TO LET MORTGAGE SUPPORT To augment the Buy to let business of the bank by supporting the origination team for Buy-to-Let (BTL) Mortgages and ensuring seamless end to end customer experience. This includes managing pipeline of cases dealing with workflows, liaising with stakeholders, both internal and external to ensure smooth assessment and completion of BTL cases. JOB RESPONSIBILITY • To support ... ZIPC1_UKTJ

Would you like to join Europe's leading premium health and wellness group? Our team members are the ambassadors of our business and the heart of what we do. W e are on the look out for a passionate Personal Trainer to join our team! As a Personal Trainer you will deliver high quality Personal Training sessions, including programming plans and guiding our members in the gym environment to support them to achieve their goals." We will support growing your client base with a 3 day PT induction and continue growing your passion within health and fitness through our CDP courses. We create an environment where our teams feel a sense of belonging, an environment where they can thrive, both physically and mentally whilst fulfilling their full potential. Some of our perks : • · 50% net revenue and £5 on top when you run your 16th session each week. (minimum £16.00 per session and £21 per session from your 16th, weekly), • Flexible working hours - You choose when you are available for 121 training sessions. ( minimum 25 hours a week ), • Free Club Membership for you and your family!, • 50% Discount on food and drinks., • Opportuni ty to train and develop in sports massage qualifications and 400+ CDP training courses., • Holiday Pay, • Access to our Benefits Suite . About you : As a Personal Trainer: • Please be aware , you must hold a minimum Level 3 CIMSPA to apply for this role, • You will have a passionate about health and fitness and able to support and inspire our members achieve their goals ., • Have o verall great communication and interaction skills, • Be s elf-driven with a positive outlook, • Have a passion about customer service." Join us and help us create a thriving and inclusive culture . Together, we're m ore than a C lub!

Would you like to join Europe's leading premium health and wellness group? Our team members are the ambassadors of our business and the heart of what we do. W e are on the look out for a passionate Personal Trainer to join our team! As a Personal Trainer you will deliver high quality Personal Training sessions, including programming plans and guiding our members in the gym environment to support them to achieve their goals." We will support growing your client base with a 3 day PT induction and continue growing your passion within health and fitness through our CDP courses. We create an environment where our teams feel a sense of belonging, an environment where they can thrive, both physically and mentally whilst fulfilling their full potential. Some of our perks : • · 50% net revenue and £5 on top when you run your 16th session each week. (minimum £16.00 per session and £21 per session from your 16th, weekly), • Flexible working hours - You choose when you are available for 121 training sessions. ( minimum 25 hours a week ), • Free Club Membership for you and your family!, • 50% Discount on food and drinks., • Opportuni ty to train and develop in sports massage qualifications and 400+ CDP training courses., • Holiday Pay, • Access to our Benefits Suite . About you : As a Personal Trainer: • Please be aware , you must hold a minimum Level 3 CIMSPA to apply for this role, • You will have a passionate about health and fitness and able to support and inspire our members achieve their goals ., • Have o verall great communication and interaction skills, • Be s elf-driven with a positive outlook, • Have a passion about customer service." Join us and help us create a thriving and inclusive culture . Together, we're m ore than a C lub!

Performance Coach Salary: £33,000 per annum Location: Harrow As a Performance Coach you will work closely with all frontline Employment Advisors to identify and offer performance improvement support through various one to one and group coaching and mentoring interventions to assist frontline staff to achieve set performance targets. Our Performance Coach will work collaboratively with Business Manager... ZIPC1_UKTJ

Care Manager\n\n£42,717 - 44,965\n\nFull Time, Fixed Term (12 months)\n\nEdgware\n\nTo meet our commitment to providing safe, high quality services to our customers we will complete an Enhanced level background check with the Disclosure and Barring service, once an offer of employment is made which is paid for by MTVH. You will also be added to the DBS updating service which will be renewed every 3 years.\n\nAs the Registered Care & Support Manager is pivotal to the success of our scheme in Harrow where we support 39 customers in an extra Care Service. Each customer has unique support needs and individual care requirements. The focus is on them maintaining independent living and achieving social inclusion.\n\nYou will be responsible for day to day running of the support service we provide. Providing an excellent level of customer service and ensuring that all regulatory and contractual commitments are met. We expect the manager to lead by example and develop a team to deliver the service to its highest standard.\n\nWhat you`ll need to succeed\n\nTo be successful in the role previous experience of working with vulnerable adults to live independently is essential. You will be able to influence the future success of our business and your development. We are therefore seeking individuals with drive and ambition to deliver excellence and support the winning of future business.\n\nAs you will be responsible for ensuring compliance with contractual, regulatory and business requirements you must also demonstrate significant experience within a CQC registered scheme and the associated standards. In addition, you will be effectively managing staff, service budgets and other resources to ensure commercial viability. This should all be evidenced on your CV.\n\nWhat youre interested in this role, take a look at the attached Job Description for more details and if itapply now` to forward an up-to-date copy of your CV, or for more information call us now on (phone number removed).\n\nOur promise\n\nAll employment decisions at MTVH are based on business needs, job requirements and individual qualifications, without regard to age, disability, gender reassignment, marital status, pregnancy or maternity, race or religion, sex or sexual orientation.\n\n"We are proud to have been recognised by Disability Confident for our commitment to disabled people and those with long term health conditions by providing fair and equal opportunities for all applicants enabling them to fulfil their potential and realise their aspirations."\n\nMetropolitan Thames Valley provides affordable housing for people living in London, the South East, East Midlands and East of England.\n\nWe also offer a range of care and support services. Our specialist areas include older people, mental health and transitional services which provide intensive support to marginalised or vulnerable people.\n\nWe deliver training programmes, events and activities for our residents, designed to boost employment opportunities and foster stronger communities.\n\nA member of the National Housing Federation the G15 ? which represents London?s largest housing associations ? we influence policy for the benefits of our residents and the wider sector.\n\nIn October 2018 like minded housing associations Metropolitan and Thames Valley Housing formally completed a partnership to form Metropolitan Thames Valley. We came together because we want to improve the services we provide and do more in our communities. We?ll do this by listening to our customers and working alongside them.\n\nPhone: \nEmail

• Location: Harrow, • Salary: Starting£45,000-£48,000, • Type:Full-time, Permanent, • Schedule:Monday to Friday, with pre-planned weekends Benefits: • Company van (for business and personal use)., • Competitive salary, • Achievable bonuses, • No on-call work, • Comprehensive holiday package (22 days + Birthday Day off + 8 bank holidays), • Seasonal hours with the same pay, paid winter weekends or lieu days in summer. Support & Flexibil... ZIPC1_UKTJ

Teacher of PE required for Key Stages 3 - 4, September 2026 start at a great faith Secondary School that is revered for its sporting success. Full time, permanent contract. PE Teacher for Key Stage 3 - 4 - North London • £36,412 - £56,959 per year, • £196 - £265 per day, • PE Teacher, • Full time, September 2026 contract, • Work with an experienced and multi skilled team of PE staff PE Teacher for Key Stage 3 - 4 • Are you an experienced and creative PE Teacher who is looking for a fantastic new opportunity in a fantastic faith Secondary school in Barnet, North London? The School - North London, PE Teacher • This is an excellent Secondary school that offers its teachers excellent support planning and its pupil's fantastic teaching., • The Secondary school's aim is to be committed to individual excellence, ensuring that all students fulfil their potential. They see PE and sports as a way to channel ambition, controlled competition and a hunger and desire to strive for success. Many students have gone out to be successful in the professional sporting world., • The school has strong leadership and a committed and dedicated team of staff., • The school works very hard so that all students leave as mature and confident young people, who are exceptionally well prepared for their future lives in education and the world of work., • Based in leafy, suburban North London, the school has an enviable array of facilities, space and equipment to facilitate the very best in PE lessons., • They have excellent relationships with surrounding schools and arrange fixtures for a range of sports. Person Specification - PE Teacher • You will need to hold a recognised teaching qualification in the UK, to include QTS (or an appropriate overseas qualification leading to obtaining QTS), • The school are keen to hear from NQTs or experienced teachers, especially at Key Stages 3 & 4, if you have had experience teaching a range of syllabus on the National Curriculum then that would be an advantage., • Ideally you will have experience of working in a mixed ability secondary comprehensive school and can demonstrate the ability to differentiate lessons accordingly, appreciating inclusion., • Confidence in your ability to plan, prepare and deliver lessons for mixed ability pupils at GCSE level, • Enthusiastic about sports and how this promotes healthy lifestyles, • Ability to deliver a range of sports disciplines and to work in skilled team, • Ambitious and driven About the Role - PE Teacher • Opportunity to work in forward thinking department, with facilities and dedicated teaching team., • Key Stages 3 - 4, • Full time contract, • Would suit a teacher of PE who can offer any of the popular sports on the national curriculum, • Would suit a passionate practitioner who has flair and creative skill, • Competitive teacher salary, • Chance to work with students across the ability spectrum, • The School has a strong PE and sports program and so a passionate sports teacher is required who is capable of delivering a range of different disciplines. You will be asked to help participate with the extra curricular teams and fixtures. When you apply with Reeson Education, you get: • Top rates of pay, • Professional support from our team of experienced consultants who offer guidance both pre an post placement, • Opportunities to progress your career, • CPD courses Reeson Education is England's Premier Recruitment Agency. Established in 2006 by experienced teachers, education professionals and recruitment specialists, we have built our business and reputation on the cores values of honesty, integrity and excellence. We care about education and the provision of education and have established an excellent reputation with schools and teachers alike. Reeson Education is an Equal Opportunities employer and is committed to the highest standards of safeguarding and the promotion of the welfare of children, young people and adults. At Reeson Education we work closely with a large network of Nurseries, Primary Schools, Secondary Schools and Colleges across the UK. Our client base provides us with an abundance of available daily supply, long term and permanent opportunities across all age groups in all areas of England. Please note, where a salary or daily rate range is stated, the higher rate applies to candidates who meet the enhanced experience, training or qualification requirements specified within the advert.

Creative Music Teacher required for a fantastic new opportunity in a great Secondary school in North London, Barnet. You will need to hold a recognised teaching qualification in the UK, to include QTS (or an appropriate overseas qualification leading to obtaining QTS). Music Teacher for Key Stages 3 - 5, September 2026 start Music Teacher for Key Stages 3 - 5, September 2026 start, - North London • £40,321 - £53.996, • Permanent contract, • Outstanding leadership team Music Teacher for Key Stages 3 - 5, September 2026 start The School - North London • Excellent Secondary school that offers its teachers brilliant support and its pupil's fantastic teaching., • The School's aim is to be committed to individual excellence, ensuring that all students fulfil their potential., • The school has strong leadership and a committed and dedicated team of staff., • The school works very hard so that all students leave as mature and confident young people, who are exceptionally well prepared for their future lives in education and the world of work., • Newly designed and purpose built school with unrivalled facilities., • Faith School that is sympathetic to ALL religions. Person Specification • You will need to hold a recognised teaching qualification in the UK, to include QTS (or an appropriate overseas qualification leading to obtaining QTS), • The school are keen to hear from experienced teachers, especially at Key Stages 3 & 4, if you have had experience teaching a range of syllabus on the National Curriculum then that would be an advantage., • Ideally you will have experience of working in a mixed ability secondary comprehensive school and can demonstrate the ability to differentiate lessons accordingly., • The School are equally keen to hear from teachers who are currently training and looking for an ECT position in September., • Confidence in your ability to plan, prepare and deliver lessons for mixed ability pupils at GCSE's, • A good team player, who has a can do attitude and sense of humour, • Ambitious and driven About the Role - Music Teacher • Opportunity to work in forward thinking department, with facilities and dedicated teaching team., • Key Stages 3 - 5, • Would suit a passionate practitioner who has flair and creative skill, • Outstanding Music facilities, • Competitive teacher salary, • Chance to work with students across the ability spectrum, • Subjects such as Music and performing arts are very popular and are a school focus being interwoven into the fabric into many of the wider school aims and goals. When you apply with Reeson Education, you get: • Top rates of pay, • Professional support from our team of experienced consultants who offer guidance both pre an post placement, • Opportunities to progress your career, • CPD courses Reeson Education is England's Premier Recruitment Agency. Established in 2006 by experienced teachers, education professionals and recruitment specialists, we have built our business and reputation on the cores values of honesty, integrity and excellence. We care about education and the provision of education and have established an excellent reputation with schools and teachers alike. Reeson Education is an Equal Opportunities employer and is committed to the highest standards of safeguarding and the promotion of the welfare of children, young people and adults. At Reeson Education we work closely with a large network of Nurseries, Primary Schools, Secondary Schools and Colleges across the UK. Our client base provides us with an abundance of available daily supply, long term and permanent opportunities across all age groups in all areas of England. Please note, where a salary or daily rate range is stated, the higher rate applies to candidates who meet the enhanced experience, training or qualification requirements specified within the advert.

Job Title: Solutions Architect – Networking and Security Location: Watford, Hertfordshire (hybrid / some remote flexibility) Department: Sales / Pre-Sales Solutions Salary: £Highly Competitive Role Overview We are seeking an experienced Networking & Security Solutions Architect to support our growth and strengthen our solutions capability. The ideal candidate is customer-facing, technically strong, and experienced in architecting and presenting networking and security solutions from vendors such as Cisco, Aruba, Fortinet, and Juniper. This role works closely with the internal sales team, acting as the go-to technical expert and trusted advisor during the sales cycle. Key Responsibilities Pre-Sales & Solution Design • Partner with sales to understand customer requirements and translate them into robust networking and security architectures., • Produce high-quality solution proposals, technical designs, and RFP/RFI responses., • Maintain deep technical expertise across key vendor technologies (Cisco, Aruba, Fortinet, Juniper) and stay up to date with new releases, features, and best practices., • Serve as the primary technical presenter in customer meetings, articulating value propositions and addressing technical concerns., • Act as the internal solutions expert for networking and security, supporting account managers and sales with product knowledge, competitive positioning, and objection handling. Skills & Qualifications: Networking and Security Solutions Architect We are looking for a proven experience in a presales/solutions architect role within a technology reseller or vendor-aligned environment. • Strong hands-on knowledge and real-world experience with networking and security solutions from Cisco, Aruba, Fortinet, and Juniper., • Comfortable in customer-facing environments, with excellent presentation and communication skills., • Team player with a proactive, solutions-oriented mindset., • Excellent organisational skills, with the ability to multi-task and prioritise under pressure.

Howdens, the UK’s leading trade kitchen supplier, is looking for an experienced SAP BTP Lead to act as our subject matter expert and technical authority for SAP’s Business Technology Platform (BTP). This role plays a key part in defining, developing, and enabling the use of BTP services across Howdens, ensuring the platform’s adoption aligns with strategic technology goals and enterprise standards. Responsible for discovering and demonstrating how SAP BTP capabilities can deliver tangible business value, this role serves as a trusted reference point for development teams, architects, and functional leads using or integrating with BTP services, supporting the delivery of scalable, secure, and performant solutions. Reporting to the Web Platforms Manager, the SAP BTP Lead works closely with stakeholders across technology and business domains to evaluate emerging technologies, identify suitable use cases, and help shape the roadmap for BTP adoption within Howdens’ digital ecosystem. This is a permanent position based onsite 4 days per week with 1 day from home. What you’ll be doing as the SAP BTP Lead: • Act as the technical authority and SME for SAP BTP, ensuring optimal configuration, governance, and usage across development teams., • Provide guidance, coaching, and technical support to developers, architects, and solution designers using SAP BTP., • Explore and evaluate new SAP BTP services, tools, and integration patterns for applicability to Howdens’ business needs., • Collaborate with the Web Platforms Manager on roadmaps and strategies for BTP platform development and alignment with enterprise architecture., • Maintain a deep understanding of BTP security, performance, and scalability best practices, ensuring these are embedded in all projects., • Lead the evaluation and prototyping of BTP-based solutions, presenting findings and recommendations to stakeholders., • Partner with cross-functional teams to identify innovation opportunities, helping drive adoption of automation, integration, and data capabilities., • Develop and maintain documentation, standards, and reference architectures for BTP development and operations., • Solid hands-on experience with SAP BTP services (e.g., Integration Suite, CAP, CI/CD, Launchpad, Kyma) including a proven track record in designing and implementing scalable BTP solutions., • Experience in large enterprise or hybrid SAP environments (S/4HANA, ECC, or third-party integrations)., • Strong analytical and problem-solving skills with the ability to translate complex technology into business outcomes., • Excellent collaboration and communication abilities. As the UK’s leading trade kitchen supplier, Howdens proudly supports over 460,000 trade professionals through our network of 900+ depots. As a constituent of the FTSE 100 and with sales of £2.4 billion last year, we continue to expand, offering exciting opportunities for growth in a dynamic, entrepreneurial environment. What we can offer you as • Competitive Salary and Company Performance Related Annual Bonus, • Excellent pension scheme (company contribution of up to 12%), • 25 days holiday + bank holidays per year with the opportunity to buy extra holidays., • Share save scheme. #LI-SW1?

Our clients are expanding their commercial team out of their Watford office. They are looking for a Quantity Surveyor who can share in this growth ethos. Honesty, integrity and teamwork will be at the heart of what they do. • Ideally they are looking for Quantity Surveyor with experience dealing and working with direct labour teams of people , time sheets etc ., • They are looking for an enthusiastic, people focused and entrepreneurial Quantity Surveyor to join their dedicated commercial and operational team, who specialise in Painting and Decorating and associated planned refurbishment works to the public, private, residential and educational sector ., • Be part of the company profit share scheme (14% of base salary achieved last year), • Private mileage scheme and a fuel card, • Let us help you prepare for your future with an enhanced employer pension contribution of up to 7% OR a savings scheme., • Life, Medical and Permanent Health Insurance, • Annual leave, but you may want longer or less, so buy up to 5 days or sell up to 3 days per year., • Access to the Lighthouse Construction Industry Charity to support your health and wellbeing, including free legal and financial advice., • Annual pay reviews, • Enhanced maternity/ paternity pay., • Training and development opportunities As a Quantity Surveyor , you will actively tender, estimate and measure onsite and also liaise with direct labour at the client . We can offer a variety of works including established frameworks and core contracts with prestigious clients within the public, and residential sector as well as our services covering into the retirement living, commercial and education sectors too. Specifically, you will: • Measure and prepare cost estimates for contracts and tenders, highlighting any commercial risks., • Prepare cost value reconciliations for contracts, identifying commercial risks and opportunities to ensure correct contract planning from the outset., • Work closely with the Contracts Manager to ensure productivity labour targets are agreed and issued before contract start, including direct labour incentives where possible., • Build strong client and supplier relations, to ensure any variations and progress of contracts are discussed and mutual solutions are sought, always., • You will be inquisitive, organised, and honest as well as being a genuine ‘people person’ who thrives when collaborating with clients, trade teams and immediate colleagues. Fostering a real ‘working together’ environment, whilst building valued long-term relationships., • Proven experience in a similar estimating and surveying role. Experience of the commercial management of projects from tender and estimation stages through to final account., • Experience of successfully managing a value of works up to £3 million annually., • Entrepreneurial spirit, with a key eye for identifying business opportunities, and areas for negotiation and better gains. You will describe yourself as commercial, analytical, and accurate in your approach.

Senior Building Surveyor | Step into a specialist role with real autonomy This is a newly created Senior Building Surveyor opportunity for a Chartered Surveyor who wants to operate at senior level, take ownership and broaden their expertise into a specialist area of work. Based out of Barnet, you’ll be supporting a dedicated fire and remediation-focused division with a strong and growing workload. You’ll be joining a well-established, multidisciplinary consultancy group with a people-first culture and long-term vision. The environment is professional, collaborative and grown-up, with genuine investment in developing senior talent rather than micromanaging it. What you’ll be doing • Leading building surveying instructions on technically interesting projects, • Advising clients on defects, compliance and remedial strategies, • Supporting projects linked to fire safety and remediation works, • Producing high-quality reports and technical advice, • Working closely with project, cost and technical teams What they’re looking for • Chartered Building Surveyor (MRICS), • Strong consultancy background at Senior level, • Confident operating with autonomy and responsibility, • Interest in developing fire safety and remediation expertise, • Clear communicator with solid client-facing skills What’s in it for you • Salary up to £75,000 plus strong benefits, • Flexible and hybrid working arrangements, • Full training and support in fire safety if required, • Long-term progression within a stable consultancy group, • Supportive, low-ego and professional culture Why this role will excite you • You’ll be trusted to operate at senior level, • You’ll gain specialist experience without needing it upfront, • You’ll work on meaningful, compliance-critical projects, • You’ll join a business that invests in your development This is a great opportunity for a Chartered Building Surveyor who wants senior responsibility, new technical exposure and long-term stability. Apply now for a confidential conversation to explore further.

ITSM New Business Sales ConsultantLocation: Hybrid – Watford (2 days per week in office)Type: Full-timeSalary: £60,000 – £80,000 + commission (OTE £120,000 – £150,000) The Opportunity We’re looking for a high-performing ITSM New Business Sales Consultant to drive growth in a fast-scaling, international organisation. This is a true hunter role—focused on winning new business, opening doors, and building a strong pipeline within the ITSM and MSP ecosystem. You’ll take a consultative approach to selling, helping organisations modernise and optimise their IT service operations through automation, integration, and smart service design. If you thrive in a target-driven environment and enjoy owning the full sales cycle, this role offers significant earning potential and real impact. What You’ll Be Doing New Business Development • Proactively generate and win new business across MSPs and enterprise organisations, • Identify, engage, and influence key decision-makers in IT, Operations, and Service Management, • Build and execute strategic prospecting plans using tools like HubSpot, Salesforce, and LinkedIn Sales Navigator, • Lead discovery sessions to uncover client challenges and opportunities, • Position ITSM, integration, and automation solutions aligned to business outcomes, • Deliver compelling demos, proposals, and workshops, • Navigate complex, multi-stakeholder sales environments, • Maintain accurate forecasting and pipeline visibility, • Stay up to date with ITSM platforms (e.g. ServiceNow, Jira Service Management, BMC, Freshservice), • Feed market intelligence back into marketing, product, and leadership teams, • Proven track record in new business (“hunter”) sales within ITSM, IT services, or MSP environments, • Experience selling ITSM, automation, or integration solutions, • Strong understanding of managed services and recurring revenue models, • Ability to manage complex B2B sales cycles, • Excellent communication and consultative selling skills, • Knowledge of ITSM frameworks (e.g. ITIL, SIAM), • Experience with integration or workflow automation platforms, • Background selling into MSPs, enterprise IT teams, or via channel/resellersWhy Join Us?, • Join a growing international business with strong market momentum, • High-earning potential with uncapped commission structure, • Work in a collaborative, forward-thinking environment, • 1-week onboarding and cultural immersion at HQ in Finland, • Global presence across the UK, Europe, and the US

• Hybrid working, • A mix of engineering, systems and commercial exposure This isn’t a siloed CAD role. You’ll have real ownership of projects, direct input into design decisions, and the chance to shape both the technical and visual side of products. If you find yourself in a similar role involved in mechanical design but want something that will give you more experience and exposure to other disciplines, please click apply! The Role: Applications Engineer • Manage and respond to technical customer enquiries, • Produce designs and drawings using SolidWorks, • Support the implementation and development of DriveWorks (design automation & configurator), • Help develop a more automated, user-friendly product offering, • Assist with product visualisation (renders, website content, etc.) We’re open to different backgrounds, including junior and more experienced engineers with SolidWorks experience, or product/design engineers with a mix of technical and creative skills. The ideal candidate will have: • Experience with SolidWorks, • Strong problem-solving and organisational skills, • Ability to manage tasks independently, • Interest in improving processes and systems

Your new companyOperating both in the UK and across the world, they are a leading contractor delivering projects across multiple sectors including; real estate, defence, education, highways, rail and water.Your new roleAn established main contractor is seeking a Freelance Senior Quantity Surveyor to support the commercial delivery of projects. The role requires a commercially astute professional with strong experience working to the National Schedule of Rates (NSR) and proven capability managing projects through delivery and final accounts.Key Responsibilities: • Full commercial management of assigned works packages, • Preparation, assessment, and agreement of valuations, • Administering and managing change in accordance with the National Schedule of Rates, • Cost reporting, forecasting, and cash flow management, • Procurement and management of subcontractors, • Preparation and negotiation of final accounts, • Supporting the commercial strategy to maximise value and minimise risk, • Proven experience working as a Senior Quantity Surveyor on UK projects, • Strong demonstrable experience using the National Schedule of Rates (NSR), • Background with main contractors preferred, • Excellent commercial and contractual knowledge, • Strong negotiation and stakeholder management skills Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Fabric Engineer / Handy Person (Temporary) Location: NW3 HampsteadDates: 27 April 2026 to 5 June 2026We are looking for an experienced Fabric Engineer / Handy Person to support building maintenance on a temporary basis in NW3.Duties will include: • Carrying out building fabric planned preventive maintenance (PPM), • Attending reactive maintenance tasks, • Basic carpentry, plumbing and patch repairs, • Minor decorating and general maintenance person works, • Proven experience in a fabric or maintenance person role, • Good all-round building maintenance knowledge, • Ability to work independently and manage day-to-day tasks, • Reliable and proactive approach Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Multi-Skilled Shift Engineer (Night Shifts) Location: BorehamwoodSalary: Competitive(Nights only) The Role • An established manufacturing business is seeking an experienced Night Shift Maintenance Engineer to support a high-precision production environment., • The role is fully nights and plays a key part in ensuring machinery reliability, minimising downtime, and supporting continuous improvement across site., • Carry out planned preventative maintenance (PPM) across CNC and manufacturing equipment, • Respond to breakdowns and perform fault-finding to minimise downtime, • Diagnose mechanical, electrical, pneumatic and hydraulic faults, • Support continuous improvement and reliability initiatives, • Ensure all work complies with health & safety procedures, including isolations and permits, • CNC machinery (lathes, mills, machining centres), • Automated and semi-automated production equipment, • Proven experience in a manufacturing or precision engineering environment, • Relevant engineering qualification (e.g., Indentured Apprenticeship, NVQ Level 3) in Electrical, Mechanical, or Multi-Skilled Engineering., • Strong mechanical background with electrical fault-finding capability, • PPM and Breakdown/Reactive maintenance experience, • Experience assembling complex mechanical assemblies., • Experience optimising processes and procedures to improve output., • Experience operating, maintaining, and troubleshooting machinery., • Experience maintaining CNC and automated machinery, • Comfortable working independently on a night shift, • Competitive Salary - (night shift), • Flexible time off: 25 days of paid holiday, a paid birthday off, and remote-friendly working., • Comprehensive Pension Scheme: Secure your future with their robust pension scheme., • Cutting-Edge Tech Office Environment: Work in a modern, tech-driven office environment equipped with the latest tools and technology., • Medical Insurance: Protect yourself with our comprehensive medical insurance plan., • Stable, long-term role in a well-invested manufacturing environment

About the job Senior Software Engineer (Backend / Systems Design) We’re working with a well-established, private equity-backed technology business operating across multiple international markets. The company builds and delivers critical, high-availability systems within sectors that demand reliability, scalability and long-term performance. Following continued growth and system evolution, they are looking to strengthen their engineering team with a senior hire. This is a senior-level Software Engineer role focused on designing, building and evolving large-scale, high-capacity systems within a complex, distributed environment. The Role • Design and build scalable, event-driven and distributed systems, • Translate product requirements into robust technical solutions and architecture, • Contribute across the full development lifecycle: planning, design, implementation and optimisation, • Maintain a balance of ~70% hands-on coding and ~30% architecture, planning and collaboration, • Work closely with Product and Engineering teams to define and refine system requirements, • Ensure high standards across code quality, testing and maintainability, • Support and mentor other engineers, contributing to coding standards and best practices, • Participate in code reviews, technical discussions and continuous improvement initiatives, • Troubleshoot complex issues across the system lifecycle Tech Environment • Predominantly PHP, including legacy systems (KPHP) transitioning to Laravel, • Some C# exposure – not essential but beneficial, • Backend-focused, with rare occasional frontend interaction (non-UI heavy systems), • Event-driven architecture and distributed systems at scale What They’re Looking For • Strong fundamentals in software engineering and system design, • Experience building and scaling backend systems in complex environments, • Ability to design for performance, reliability and future scalability, • Comfortable working across legacy and modernising tech stacks, • Experience working with Product teams on requirements and planning, • Solid understanding of coding standards, testing (TDD beneficial), and software quality, • Mentoring or guiding other engineers, • Exposure to distributed systems or high-throughput environments, • Frontend experience is a bonus, not a requirement Salary & Benefits • £75,000 base salary, • 5% annual bonus, • Benefits package included Working Setup • Hybrid environment with flexibility (typically up to 3 days in office, though this varies in practice and can be less) Additional Notes • Strong emphasis on core engineering fundamentals over reliance on tooling such as AI, • Candidates should be pragmatic, collaborative and technically grounded

Hays is delighted to be supporting our client in recruiting a Recovery Coordinator to join their Opiate Service team on a 3-month contract. This is an excellent opportunity for an experienced practitioner to make a meaningful impact, supporting individuals affected by opiate use through structured, recovery-focused interventions. If you are interested, please read the details below:Hours: 9:00 AM - 5:00 PM (Monday to Friday 37.5 hours per week)Dates: ASAP 3 months (Temporary Contract, will be reviewed after 3 months)Pay Rate: £18/hr PAYE or £21 umbrellaYour new roleAs a Recovery Coordinator, you will deliver a range of evidence-based interventions to support service users throughout their treatment journey. You will work collaboratively with clinical and safeguarding teams to ensure each individual receives a safe, holistic and person-centred service.Key Responsibilities:Delivering targeted harm-reduction interventions through PODs and one-to-one sessions.Creating comprehensive detoxification plans, including preparation and aftercare support.Working in line with company's prescription policies and governance when facilitating access to OST.Completing detailed assessments covering drug history, physical and mental health, social circumstances and risk.Building recovery capital by liaising with external agencies, community partners and mutual aid networks.Conducting holistic reviews with prescribers, safeguarding leads and wider team members.Supporting engagement and reducing the number of individuals who disengage post-assessment.Contributing to positive outcomes for service users completing treatment.Essential ExperienceExperience delivering interventions to individuals affected by opiate use.Strong understanding of safeguarding and vulnerable adult procedures.Ability to work effectively with challenging behaviour.Experience engaging with a diverse range of service users.Knowledge of local services and mutual aid networks.Qualification in substance misuse, counselling, social work or related field is desirable.Please note we do not offer sponsorshipsWhat you'll get in return Weekly paymentsFree DBS checkWhat you need to do nowIf you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. To find out more about this job please contact Agne on . Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Electrical Engineer - Continental Shift (4 on / 4 off) - FM Contract Location: Borehamwood Salary: £45,000-£47,000 + shift pattern Shifts: Continental 4 on / 4 off (days) - 06:00-18:00 and 10:00-22:00 Hays are recruiting for an experienced Electrical Engineer to join a busy facilities team on a large, multi-building site. This is a hands-on role supporting a high-footfall environment, so you'll be comfortable being on the move throughout the day, lots of walking, varied plant areas, and a strong mix of reactive maintenance and planned PPMs.You'll be part of an on-site engineering function responsible for keeping building services running safely, compliantly, and efficiently, covering electrical work alongside exposure to mechanical systems and water management. The RoleYou'll be responsible for: • Electrical maintenance across a large estate (reactive and PPM), • Fault-finding, repairs, and first-time fixes to minimise downtime, • Completing PPM schedules to agreed service levels and statutory requirements, • Supporting day-to-day operation of building services including mechanical interfaces and water management systems, • Accurate completion of job sheets / CAFM updates and maintenance records, • Escalating risks, defects, or compliance concerns promptly, • Level 3 Electrical Qualification (e.g., NVQ Level 3 / City & Guilds Level 3 or equivalent), • Experience in building services / facilities maintenance (or similar large-site environments), • Strong fault-finding skills and confidence working independently on shift., • Comfortable with a role involving significant site walking and varied tasks, • Experience in large estates / campus environments, • Exposure to water management processes and mechanical plant support, • £45,000-£47,000 salary, • Continental shift pattern: 4 on / 4 off (days) weekdays and weekends Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field. Programmer Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Field Service Engineer Location: Watford and surrounding areasHours: Full-time, Monday to Friday We're recruiting a Service Engineer to carry out on-site servicing, inspections, installations and repairs across customer locations. While this is not a highly technical engineering role, it is hands-on, physically demanding at times, and requires someone reliable, practical and comfortable working independently on the road. Full training is provided, and previous direct experience is not essential. What matters most is a strong practical mindset, confidence using tools, and the ability to manage your own workload while representing the company professionally on-site. What you'll be doing Visiting customer sites, including schools, to carry out servicing and safety checks Carrying out minor repairs and adjustments, including replacing parts and maintaining moving mechanisms Completing installations, repairs and servicing to a consistent standard Identifying faults and resolving issues efficiently while on-site Completing service documentation and recording work carried out Carrying out quality and safety checks following work completion Working independently, managing daily schedules and travel Following health & safety procedures at all times Feeding back recurring issues or product faults to the wider team What we're looking for A practical, hands-on individual who is confident using tools Comfortable working on the road and visiting multiple sites Able to work independently and manage time effectively Good problem-solving skills and attention to detail Physically fit - the role involves manual handling and site work Full UK driving licence Engineering or technical experience is helpful but not essential - full training is provided The role Field-based role with regular nationwide travel Occasional overnight stays depending on location Company vehicle provided Permanent, long-term position within an established service team Salary is fixed within the current structure and consistent across the team This role suits someone who enjoys practical work, autonomy, and being out on-site rather than desk-based, and who wants a stable, long-term position with training and support. DBS Check will be taken DVLA Check will be taken CV's in word format to be sent to New Appointments Group, Expertly Matching Employers and Jobseekers since 1975. Before submitting your CV, please take a moment to check the layout, spelling, and grammar. If your CV includes graphics or design features, we'd also appreciate a simplified version in Word format. If this role isn't for you, please check out our website for other roles that may be suitable, or send us your CV, we would still like to hear from you! You can find us on our website or LinkedIn, Facebook, Instagram and x@nagrecruitment We are committed to fostering a diverse and inclusive environment in line with the Equality Act 2010. All qualified applicants will be considered regardless of age, disability, gender reassignment, marriage or civil partnership, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. New Appointments Group acts as an Employment Agency for permanent roles and as an Employment Business for temporary roles.

Performers wanted for Teaching Assistant work Are you a performer looking for flexible work to fit around auditions and professional roles? Why not use your creativity, communication skills, and energy to inspire young minds as a Teaching Assistant in a London primary school? We’re looking for passionate, adaptable individuals who love working with children and want to make a positive impact in education. Teaching Assistant Opportunities We have roles available across all primary age groups (EYFS/KS1/KS2), where you’ll play a vital role in supporting children and teachers: • Early Years (3-5): Engage children in play-based learning, help them with phonics, and support their development in numbers and letters., • Primary (KS1/KS2): Assist in structured classroom settings, supporting students with learning activities in English, Maths, and other subjects., • Flexible schedule to fit around auditions and professional jobs., • Local work in primary schools near you., • A chance to channel your creativity and energy into an inspiring new role., • Make a meaningful difference in children’s learning and development.Role Details, • Full school day: 8:30 am - 4:00 pm (approx.)., • Flexible supply work, with opportunities booked in advance or on the day. We have a policy to respond to all applications within three working days. However, because of the volume of applications, we are sometimes unable to reply to individual enquiries. If we have not contacted you within this specified time your application has been unsuccessful on this occasion. Philosophy Education is a Recruitment Business and is advertising this vacancy on behalf of one of its clients.

Specsavers. A household name and a home visits pioneer. And you could be part of the team. We're looking for a hard-working, passionate Domiciliary Optometrist ready to provide our customers who can't make it into our stores with the best eyecare in the business. You'll join a community focused team helping deliver high-standard clinical care and customer service to meet both patient needs and business objectives. So, as long as you're a qualified and GOC registered Optometrist, whoever you are, you can make a difference here. Our business Based in Hertfordshire, you'll cover areas such as; St Albans, Harpenden, Stevenage, Letchworth, Hitchin, Luton, Leighton Buzzard, Watford, Hemel Hempstead and Borehamwood Our team We have a wonderful team of 16 dedicated people ready and waiting for you to meet. What's on offer? As well as all the support you need and great training and development opportunities, we have a whole load of benefits on offer for you to enjoy. These include: • Salary - Up to £70,000, • Bonus structure in place, • £4,200 Car allowance, • Full time - no weekends, • 33 day holiday including bank holidays, • Additional day off for your birthday - to celebrate you!, • Professional fees paid, • Dental and medical cover, • We will auto-enroll you into the pension scheme with an employer contribution when you contribute too, • Specsavers Perks - a portal to a world of great everyday discounts and savings, • WeCare - our employee support service to help you and your immediate family when you need it most, • Complimentary subscription to the Headspace app, • Eyecare and hearcare discounts for you and your family, • Enjoy an additional paid day off on your birthday to celebrate you!, • Qualified and GOC registered Optometrist, • Full driving license, • Customer-focused, • Confident, • Strong work ethic, • Willing to succeed If you have everything we're looking for and are excited by this opportunity, we're excited to hear from you. We can't wait for you to apply! Get in touch For more information or to apply for this role, please contact Abby Davies - or call Only candidates who are successful with their application and through to the next stage will be contacted. If you have not heard about your application within 14 days of applying then please assume that you have been unsuccessful in your application. #LI-AD1

Assistant Principal Childcare Lawyer London Council Hybrid working £65,544 - £72,693 Permanent Overview of the Assistant Principal Childcare Lawyer position We're currently looking to appoint an Assistant Principal Childcare Lawyer to join a welcoming and well-established legal team within a Local Authority. This permanent position is suited to an experienced local government Childcare Lawyer who is ready to take on a leadership role. The successful candidate will support the management of the team while handling a complex and varied caseload. The role offers a hybrid working arrangement, with an expectation of attending the office two days per week alongside court commitments. This is an excellent opportunity for a skilled Childcare Lawyer to progress into a managerial position within a knowledgeable and supportive team environment. Key responsibilities of the Assistant Principal Childcare Lawyer • To carry a varied caseload of childcare matters including NAI, sexual abuse cases, multi-issue cases and complex care proceedings, • Working closely with the two other Assistant Principal Lawyers and the Principal Lawyer to manage the team, • To advise on high profile and high risk matters, where required, • To assist the Principal Lawyer with case allocation, court metrics, training of the team and client department and general management of the team Experience/qualifications required for the Assistant Principal Childcare Lawyer position • You must be a qualified Lawyer (Solicitor, Barrister or CILEX with Advocacy Rights) with a current practicing certificate, • Able to work on a hybrid basis with attendance at two offices when required as well as attending court when necessary, • Extensive experience in childcare law within a local authority setting is essential, • Experience of mentoring or supervising staff is beneficial, • Advocacy experience is highly beneficial What's in it for the successful Assistant Principal Childcare Lawyer? On offer is a range of excellent benefits such as: • Local Government Pension scheme, • Exclusive discounts from major brands, • Green Car Benefit Scheme, • Cycle Scheme, • Civil Service Sports Council, • Opportunity to work in a friendly and experienced team dealing with a really interesting mix of work How to apply for the Assistant Principal Childcare Lawyer position This is an excellent opportunity for a highly experienced Childcare Lawyer to join a friendly and collaborative team in a senior role, working on high-profile and complex childcare matters and line managing more junior staff. If you believe you have the required experience and qualifications, please apply via this advert or contact Elleyn Hewitt or Zofia Slater in our Manchester office for a confidential discussion ahead of the closing date (Monday 1st June). Closing date: Monday 1st June Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.

Childcare Lawyer London Council Hybrid working £46,563 - £62,349 Permanent Overview of the Childcare Lawyer position We're delighted to be working with our Local Authority client to recruit a permanent Childcare Lawyer to their team. This is a brilliant opportunity for a qualified lawyer to join a busy but supportive team who get an interesting variety of work. The role offers a hybrid working arrangement, with some office attendance, usually twice a week depending on other work commitments. Key responsibilities of the Childcare Lawyer • To carry a varied caseload of childcare matters including NAI, sexual abuse cases, multi-issue cases and complex care proceedings, • Attend face to face pre-proceedings meetings and court as required, and experience dependent, • To give guidance, mentor and give training to less experienced team members Experience/qualifications required for the Childcare Lawyer position • You must be a qualified Lawyer (Solicitor, Barrister or CILEX with Advocacy Rights) with a current practicing certificate, • Able to work on a hybrid basis with two days per week in the office depending on other work commitments., • An ability to represent the local authority at court is preferred, or a desire to do so. Training is provided for court work if needed, • Able to work full-time hours, requests to work 4 days per week will be considered, • Experience of childcare law is highly advantageous, applicants from the private sector with transferrable skills will be considered What's in it for the successful Childcare Lawyer? Excellent training and development opportunities, plus a range of benefits including: • Local Government Pension scheme, • Exclusive discounts from major brands, • Green Car Benefit Scheme, • Cycle Scheme, • Civil Service Sports Council, • Opportunity to work in a friendly and experienced team dealing with a really interesting mix of work How to apply for the Childcare Lawyer position This is an excellent opportunity for a qualified lawyer, ideally with childcare experience, to join a friendly and collaborative team in a supportive environment that offers training and development opportunities. If you believe you have the required experience and qualifications, please apply via this advert or contact Elleyn Hewitt or Zofia Slater in our Manchester office for a confidential discussion ahead of the closing date (Monday 1st June). Closing date: Monday 1st June Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years' experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV. For information on how your personal details may be used by Sellick Partnership, please review our data processing notice on our website.