Business support jobs in DagenhamCreate job alerts

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Field Sales, Senior Manager, AFH Location: Home based Contract type: 12 month Fixed term contract Closing date: 29th May This is a high-profile opportunity to join the AFH Senior Team, leading and inspiring a large, geographically dispersed Field Sales team to deliver sustainable growth across a diverse customer base and stakeholder network. Alongside delivering strong commercial performance, this role plays a critical part in shaping team culture, creating an inclusive, high-performing environment that drives engagement, collaboration, and long-term success across the field organisation. You’ll play a pivotal role in driving performance across your territories, delivering against revenue targets, strengthening partnerships across the AFH channel, and developing a team culture where people can perform at their best. Success in this role will rely on your ability to build strong networks, influence across a wide range of stakeholders, and lead inclusively within a diverse team environment. What you’ll be doing • Leading and coaching a large Field Sales team to deliver AFH channel revenue targets through clear, focused execution, • Setting clear direction and stretching performance objectives for your team and territories, • Driving a high-performance culture through coaching, development, and effective talent management, • Building and maintaining strong relationships across internal teams, customers, and key external stakeholders, • Managing OPEX and budgets within agreed guidelines, ensuring disciplined investment, • Turning customer insights into actionable plans that unlock growth and strengthen partnerships, • Identifying opportunities to improve performance, efficiency, and execution, • Bringing diverse perspectives together to support better decision-making and outcomes What we’re looking for • Proven experience leading large, diverse, and remote teams, with the ability to deliver results through others, • Strong networking and stakeholder management skills, with confidence influencing across customers, partners, and internal functions, • A collaborative and inclusive leader who thrives when working with diverse teams and perspectives, • Clear, confident communicator able to engage and align multiple audiences, • Strong commercial acumen with a focus on delivering sustainable growth, • A passion for coaching and developing others, creating an environment where people can perform at their best This is a highly visible role offering the opportunity to make a real impact across the AFH channel while working with a broad and diverse stakeholder landscape. If you’re energised by leading diverse teams, building strong networks, and driving performance, we’d love to hear from you. Application If this role is of interest to you please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch. We believe that equal opportunities means inclusion, diversity and fair treatment for all. As we have expanded recently into alcohol ready to drink Jack Daniel’s and Coca-Cola we recognise that some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio. We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments or requests you may have to help us ensure that your experience is enjoyable. We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Property Manager £37,500 per annum | Full-Time | Residential Lettings We are recruiting for an experienced and proactive Property Manager to join our client’s busy and growing residential lettings team. This is an exciting opportunity for a motivated individual with strong knowledge of current lettings legislation and a passion for delivering exceptional customer service. As a Property Manager, you will oversee a portfolio of residential properties, working closely with landlords, tenants, contractors, and the lettings team to ensure properties are maintained to a high standard and remain fully compliant with UK property legislation. Key Responsibilities • Manage day-to-day property maintenance and repair issues across a residential portfolio, • Arrange and conduct property inspections, tenant check-ins, and check-outs, • Coordinate gas safety certificates, electrical inspections, EPCs, and compliance documentation, • Liaise with utility providers regarding tenant move-ins and move-outs, • Organise and manage cleaning, maintenance, and external contractors, • Build and maintain strong relationships with landlords and tenants, • Ensure full compliance with current lettings legislation, including health and safety regulations, • Handle landlord licensing applications and legal notices, including eviction paperwork, • Attend court hearings when required in support of possession proceedings, • Maintain accurate records and update the property management system with repairs, notes, and communicationsEssential Skills & Experience, • Minimum 2 years’ experience in residential property management, • Strong understanding of current UK lettings legislation, including the Renters’ Rights Act 2025, • Excellent organisational and time management skills, • Confident communicator with strong customer service skills, • Proficient IT skills and experience using property management software, • Ability to work independently and manage a busy workload, • ARLA Propertymark qualifications or exams highly desirableWhat’s on Offer?, • Competitive salary of £37,500 per annum, • Opportunity to join a fast-paced and supportive property team, • Varied and rewarding role where no two days are the same

We are seeking an experienced ESTATE AGENT BRANCH MANAGER for this exciting office in BARNEHURST in Kent. The Branch Manager Package: • Basic Salary £30,000pa, • Realistic OTE £50,000 - £55,000pa, • Company Car or Car Allowance up to £4,000, • Holiday commission, 33 days paid holiday, birthday off,, • Pension, life insurance, profit share bonus scheme,, • Rewards/incentives, structured career path,, • You’ll be running your branch like it’s your own business, shaping its success and driving profitability., • YOU make things happen, ensuring customers get nothing but top-notch service and expert advice., • Lead and Manage Your Business. Own the profitability and growth of your branch. Your success is in your hands!, • Motivate and Inspire Your Team. Lead by example, help your team grow and hit those targets together!, • List Properties and Support Vendors – Help vendors get the best price and match buyers with their dream homes., • Stay Ahead of the Market – Become the local expert and build your reputation as the go to in the area., • Proven Relationship Builder. You know how to convert valuations into sales and lead a high-performing team., • Driven and Ambitious. You thrive in a fast-paced environment and are always ready to take on new challenges., • Customer-Focused. You genuinely enjoy helping people on their journey, from first-time buyers to those securing their forever home. If you have the current relevant experience for this role please do not hesitate, APPLY TODAY and submit your CV. Our Recruitment Solutions for Business team are available for a confidential chat and will respond within 12-24 hours of your CV application. We guarantee complete discretion, call today and talk in confidence to one of our Property Recruitment experts. Please be advised, if you do not have the experience required in the job description your application will not be considered.

FM Conway is currently seeking a HGV Class 2 Tipper Driver to join our Aggregates and Asphalt Division based from our Erith depot. As our HGV Class 2 Tipper Driver, you will drive an allocated tipper vehicle to transport asphalt and aggregate to various sites. You will join us on a full time, permanent basis, working days 06:00 – 16:00. \n\n The duties of the HGV Class 2 Tipper Driver role will include: \n\n -Driving and operating Class 2 HGV to/from site \n\n -Transporting asphalt to our customers in a safe and professional manner \n\n -Working in conjunction with your supervisor’s instructions \n\n -Maintaining vehicle and equipment in line with established company standards \n\n -Completing and submitting the required daily defect sheet \n\n -Acting in accordance with company policies and procedures \n\n What skills and experience do you need? \n\n Our ideal candidate will hold a full UK driving license, a HGV Class 2 license as well as a full CPC and Digital Tachograph card. Tipper driver and asphalt experience is essential. \n\n What benefits will you receive? \n\n As our HGV Class 2 Tipper Driver we will offer you a range of fantastic benefits including career and professional development, 21 days holiday plus bank holidays, rising to 23 days after 1 years service and a wide range of shopping discounts though our Rewarding Great People platform. We also offer a range of health and well-being benefits including a 24-hour advice line and support from our mental health first aiders. \n\n A brief introduction to FM Conway and our Transport Division \n\n FM Conway is a business of families with over 60 years’ experience of creating sustainable and innovative transportation solutions. We pride ourselves on our core values, creating a culture around Care, Innovation, Integrity and Excellence. The heart of FM Conway has, and always will be, its great people and we are always searching for talented individuals to join our family. \n\n FM Conway manufactures a comprehensive range of high-quality aggregates, asphalt and concrete products for use on the UK's highway network as well as for other construction and maintenance projects. We deliver vital infrastructure services that help keep people, communities and businesses moving. \n\n So if you would like to Join our Family as our HGV Class 2 Tipper Driver then please click ‘apply’ today. \n\n Closing Date: 14/06/2026 \n\n FM Conway is an award-winning equal opportunities employer. We recognise that our workforce should reflect our diverse communities and we are proudly committed to creating an inclusive culture in which we celebrate and value individuals from all walks of life. EDI-Strategy \n\n At our heart we are a family that recognises and embraces individuality, so if you are excited about this role but you are unsure if you meet all of the criteria, we encourage you to apply anyway as you may still be the right candidate for this or another role we are recruiting for. \n\n We look forward to receiving your application!

FM Conway is currently seeking a HGV Class 2 Tipper Driver - Nights to join our Aggregates and Asphalt Division based from our Erith depot. As our HGV Class 2 Tipper Driver - Nights, you will drive an allocated tipper vehicle to transport asphalt and aggregate to various sites. You will join us on a full time, permanent basis, working nights 18:00 – 04:00. \n\n The duties of the HGV Class 2 Tipper Driver - Nights role will include: \n\n -Driving and operating Class 2 HGV to/from site \n\n -Transporting asphalt to our customers in a safe and professional manner \n\n -Working in conjunction with your supervisor’s instructions \n\n -Maintaining vehicle and equipment in line with established company standards \n\n -Completing and submitting the required daily defect sheet \n\n -Acting in accordance with company policies and procedures \n\n What skills and experience do you need? \n\n Our ideal candidate will hold a full UK driving license, a HGV Class 2 license as well as a full CPC and Digital Tachograph card. Tipper driver and asphalt experience is essential. \n\n What benefits will you receive? \n\n As our HGV Class 2 Tipper Driver - Nights we will offer you a range of fantastic benefits including career and professional development, 21 days holiday plus bank holidays, rising to 23 days after 1 years service and a wide range of shopping discounts though our Rewarding Great People platform. We also offer a range of health and well-being benefits including a 24-hour advice line and support from our mental health first aiders. \n\n A brief introduction to FM Conway and our Transport Division \n\n FM Conway is a business of families with over 60 years’ experience of creating sustainable and innovative transportation solutions. We pride ourselves on our core values, creating a culture around Care, Innovation, Integrity and Excellence. As a family business, the heart of FM Conway has, and always will be, its great people and we are always searching for talented individuals to join our family. \n\n FM Conway manufactures a comprehensive range of high-quality aggregates, asphalt and concrete products for use on the UK's highway network as well as for other construction and maintenance projects. We deliver vital infrastructure services that help keep people, communities and businesses moving. \n\n So if you would like to Join our Family as our HGV Class 2 Tipper – Nights then please click ‘apply’ today. \n\n Closing Date: 14/05/2026 \n\n FM Conway is an award-winning equal opportunities employer. We recognise that our workforce should reflect our diverse communities and we are proudly committed to creating an inclusive culture in which we celebrate and value individuals from all walks of life. EDI-Strategy \n\n At our heart we are a business that recognises and embraces individuality, so if you are excited about this role but you are unsure if you meet all of the criteria, we encourage you to apply anyway as you may still be the right candidate for this or another role we are recruiting for. \n\n We believe in people, not algorithms. That’s why every application is personally reviewed by a member of our Recruitment Team - never by AI. \n\n We look forward to receiving your application!

Chef Location Runcorn, WA7 1NT Hours Monday Friday, Core Hours - 12:30pm 21:00pm, ability to adjust hours where required to support business needs Are you dedicated to delivering great service and want to join a growing company that looks after its people? Have you got skills and experience in a catering role with a customer focused mind-set?If so then we have got the role for you,atour restauran... ZIPC1_UKTJ

Joinery Estimator Salary: Up to £60,000 + Package Overview A well-established joinery and fit-out business is looking to bring in an experienced Joinery Estimator to support their pre-construction team. Youll be responsible for producing accurate costings on bespoke joinery projects, working closely with internal teams and clients from enquiry through to handover. Key Responsibilities • Prepare detailed e... ZIPC1_UKTJ

About The RoleJoin a Major Nationwide Project as an Installation & Service Engineerphs WastekitReady to Build Something That Matters?If you’re an engineer who wants pride in their work, variety in their days, and the opportunity to grow with a business that’s investing in people and projects — we want to hear from you.Are you an engineer who wants more than just another service role?At phs Wastekit, we’re looking for Installation & Service Engineers to join us on an exciting, large-scale project delivering modern recycling solutions to customers across the UK. This is your chance to be part of something visible, impactful, and growing — with the support, training, and structure to help you succeed.The OpportunityAs an Installation & Service Engineer, you’ll be at the front line of our operation — installing, servicing, and commissioning recycling equipment in clean, well-managed customer environments. You won’t just fix machines; you’ll help customers transform the way they manage waste.You’ll be trusted to: • Install and service equipment safely and professionally, • Deliver on-site training to customers so they get the very best from their machines, • Carry out site surveys and support new installations as part of a co-ordinated national rollout, • Take real ownership of your work and your customer relationshipsThis role is planned, structured, and supported — working closely with our Service Desk and Operations teams to ensure jobs are organised efficiently and safely.Travel, Variety & Paid Nights Away. No two weeks are the same. The role involves planned travel across regions, with overnight stays required from time to time — all fully expensed. Some weekend work may be required occasionally, but this is balanced with proper planning and support.If you enjoy variety, autonomy, and seeing the results of your work on-site, this role delivers.Training & DevelopmentWe invest heavily in our engineers.You’ll receive:, • Regular technical and safety training, • Ongoing development to keep your mechanical, electrical, and hydraulic knowledge up to date, • A Train the Trainer qualification, enabling you to confidently train customers on installed equipment, • Clear standards, processes, and support to help you perform at your bestThis is a role where your skills are valued — and actively developed.What Success Looks Like, • High-quality installations and servicing completed safely and right first time, • SLAs consistently achieved and exceeded, • Customers who trust you, value your professionalism, and enjoy working with you, • Accurate job records, time, and parts logged correctly, • Pride in your van, tools, PPE, and the way you represent the businessWhat We’re Looking For., • Ideally, you’ll come from a service engineering, mechanical, electrical, or hydraulic background, • The ability to work independently with minimal supervision, • A professional, customer-focused attitude, • Confidence communicating clearly with customers and colleagues, • A disciplined, organised approach to paperwork and administration, • Most importantly, we’re looking for engineers who take ownership, care about quality, and want to be part of a team delivering something bigger.Why phs Wastekit?, • Be part of a major, high-profile project, • Work in clean, professional environments, • Excellent training and ongoing development, • Fully expensed nights away, • Company vehicle, tools, PPE, and uniform provided, • Strong operational support — you’re never on your ownIn return for your commitment and expertise, you will receive, • A competitive salary of £35,000.00., • We offer accredited ILM Training in house and external training., • Ongoing career and development opportunities., • Digital GP for you and your family., • Over £1000 worth of savings and discounts at Supermarkets and High Street stores with PHS Perks., • Company pension., • 24-hour wellbeing helpline., • All kit required for working effectively on the road.If you want a career with a well-established company, where you’ll be appreciated for the quality of your work, we would love to hear from you.Apply now.phs Group was founded in 1963 and we are the leading provider for Hygiene Services in the UK, Spain and Ireland with over 120,000 customers across 300,000 locations incorporating numerous businesses during its 63 years of business.Our businesses include: Washrooms, Healthcare, Floorcare, phs Direct, Direct 365, phs Greenleaf, Teacrate, Besafe, Wastekit and Compliance.At phs, we pride ourselves on our diverse workforce, and ensuring we have an inclusive environment for all our staff. We remain committed to ensuring our teams can bring their true selves to work without risk or fear of discriminati

Young Persons Substance Use Practitioner Redbridge £16 per hour + Holiday Pay Ongoing Contract About the Role We are recruiting for a Young Persons Substance Use Practitioner to join a dedicated service supporting young people affected by drug and alcohol use. This role focuses on delivering high-quality, person-centred interventions to help young individuals achieve positive and sustainable outcomes.You will play a key role in engaging young people, supporting their recovery journey, and working collaboratively with families, carers, and partner agencies. Key Responsibilities • Manage a caseload of young people, delivering assessments, care planning, and structured interventions, • Provide 1:1 and group psychosocial interventions tailored to young people's needs, • Deliver harm reduction advice, including substance misuse education and overdose prevention, • Support young people in accessing education, training, employment, and wellbeing services, • Work closely with families, carers, and external agencies to ensure holistic support, • Identify safeguarding concerns and take appropriate action in line with policies, • Maintain accurate and timely case records using case management systems, • Contribute to multi-disciplinary meetings and reviews, • Work flexibly across sites where requiredWhat We're Looking For, • Experience working with young people, substance misuse, or other vulnerable groups, • Strong understanding of safeguarding and risk management, particularly for young people, • Ability to engage and build rapport with young individuals and their families, • Experience delivering structured interventions and support planning, • Excellent communication, interpersonal, and teamwork skills, • Ability to manage a caseload and meet deadlines under pressure, • Good IT skills (e.g., Microsoft Office, case management systems such as Nebula, SystemOne, or Theseus), • NVQ Level 3 in Health & Social Care (or willingness to work towards)Why Apply?, • Competitive hourly rate with holiday pay, • Opportunity to make a real difference in young people's lives, • Supportive and collaborative team environment Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.

Experience Needed: Care Manager / Registered Manager / Service Manager or similar from CQC regulated care Client Relations Manager – Health and Social Care (non-registered) Home-based with frequent travel to visit clients and head office No On-call requirements - No weekends This isn’t your typical Care Management role – at this company they do things completely differently, they’ve managed to create a Unique Service Model that truly revolves around the clients needs and wishes, whilst ensuring that they receive a first-rate service that is safe and effective. As the Client Relations Manager, you’ll oversee and manage packages of care for clients who live at home and have their own personal health budget. You’ll support them with tasks such as recruiting staff, managing their finances, safeguarding, and liaising with commissioners and other healthcare professionals. You’ll be the first point of contact for the staff and will work closely with the client and/or their families in the management of their care. You’ll work from home but with frequent travel typically visiting clients at least a couple of times and year, an monthly meetings in head office, plus training in Nottingham. With the client visits you’ll manage your own diary, so there is a degree of flexibility. The salary starts at £34,000 and rises to £36,000 upon successful completion of probationary period The Role • Ensuring that a person centred service is delivered to people at all times,, • Making sure that all documentation meets CQC standards,, • Supporting on the recruitment of Personal Assistants, to work specifically for each client., • Provide responsive support with HR investigations., • Be the first point of call for clients, their families and all staff., • Ensure financial oversight of people’s health budgets, helping them to ensure that they are not over or under spending. What you won’t be doing • Managing rota’s – PA’s work solely for the client package they are recruited for and are typically in set shifts, directed by the client., • Covering absences – clients have external contingency plans., • Dealing with on call – again there are external contingency plans in place and out of hours support is provided. About you • You’ll need a background in managing care services and knowledge in the application of CQC standards. You may have previously held a role such as Care Manager / Service Manager / Registered Manager / Home Manager / Social Worker or similar., • You’ll be qualified to QCF level 5 in Health and Social care Leader or equivalent., • You’ll be a good problem-solver, able to think creatively and come up with bespoke solutions for each client – there is no "one size fits all approach" here., • You’ll be able to build a good rapport with people, an communicate effectively even in complex and challenging situations., • You’ll be passionate about supporting clients to have full control of their lives and care packages whilst being able to balance the needs of ensuring that the company meets it’s CQC and legal obligations., • You’ll be a driver with your own vehicle. Also Important to know: Induction is at Head Office in Nottingham for 5 days and on-going training, particularly in the first 6 months takes place there, so living within a commuting distance is handy, but you’ll need to be able to stay over if not (hotel provided). Want to know more? Click Apply to send your CV to Laura at Thendon Resourcing and I’ll be in touch within 1-2 business days to discuss the opportunity further.

Outreach Worker - Substance Misuse Location: Redbridge / Ilford Pay Rate: £15-£17 per hour Hours: Monday-Friday, 9:00am-5:00pm Additional Requirement: 1 early outreach shift per week (7:30am-3:00pm) Contract Length: 3-4 month assignmentWe are currently recruiting for an experienced Outreach Worker to join a substance misuse service based in Redbridge/Ilford. This is an excellent opportunity for someone with previous experience in drug and alcohol services who is passionate about supporting vulnerable individuals within the community. Key Responsibilities: • Carrying out community outreach and engaging with vulnerable clients, • Supporting service users with recovery and support plans, • Providing harm reduction advice and appropriate signposting, • Working closely with partner agencies and support services, • Maintaining accurate case notes and client records, • Promoting recovery-focused interventions and safeguarding practicesRequirements:, • Previous experience within substance misuse services is essential, • Strong communication and engagement skills, • Ability to work independently within the community Morgan Hunt is a multi-award-winning recruitment Business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to temporary vacancies. Morgan Hunt is an equal opportunities employer, job suitability are assessed on merit in accordance with their skills, qualifications and abilities to perform the relevant duties required in a particular role.

Are you looking to benefit from a new career in Web Development? Skills shortages in the IT sector is 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 software development 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 four simple steps. Step 1 - HTML and CSS Online Training 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, • CSS Essentials Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 - Online Training The second step includes a selection of more advanced courses to get you up to speed. • React-js Step 3 - Build a Portfolio Website Project Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. 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 development 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. Enthusiastic 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.

Head of Commercial - Planning, Property, Contracts London Full-time hours Hybrid working, 1-2 days required in the office 3 months + Sellick Partnership is delighted to be working with a London based Local Authority to source an interim Head of Commercial to line manage the Planning, Property, and Contracts teams whilst also having expertise in Planning Law. DMO experience is also desired but not mandatory. This is a fantastic opportunity to join a skilled and welcoming legal team. As Head of Commercial you will be an integral part of a professional legal team delivering legal advice and support to all aspects of the Council's services. On offer is a flexible working arrangement, competitive hourly rate, interesting caseload, and a supportive team and environment. The ideal candidate is someone who can demonstrate strong leadership skills and be confident and robust in managing difficult situations. You will be a team player, have a flexible approach to work and possess strong client care skills and be able to market the council's services effectively and efficiently. You will be a qualified Solicitor/Barrister/ Chartered Legal Executive with a current Practising Certificate and experience in a local government setting. With this being an interim position, our client is seeking a Head of Commercial who can start immediately or on short notice so if you believe you have the necessary skills, please apply today to avoid missing out! Should you require further information or wish to discuss your suitability before applying please contact Maxine Beitler in our Manchester office for a confidential discussion. 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.

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000 The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Service Administrator (Sprinklers) £30,000 - £35,000 + Progression + Training + Company Benefits Upminster Are you a Service Admin or similar with experience working within the sprinklers industry, looking to join an industry leading business who are experiencing a significant growth period, offering on the job training on surveying and quotation? In this office-based role, you will carry out a variety of administrative and coordination duties, including scheduling engineers for installations and servicing across a range of sprinkler systems. You will also support a small management team with site surveys and quotations, helping to expand your technical knowledge and skill set. Established over 20 years ago, this rapidly growing company specialises in the design, manufacture, servicing, and installation of trusted fire protection sprinkler systems across the UK. Founded by three brothers, the business prides itself on excellent staff retention and a strong culture of internal progression, offering clear opportunities to advance into senior roles. This role would suit a Service Admin or similar professional with experience in the sprinkler industry, looking to join a fast-growing, family-run business that offers genuine career development. The Role: • Scheduling engineers for a range of sprinkler installations and services, • Liaising with clients to build and maintain strong relationships, • Supporting a small management team with site surveys and quotations, • Service Admin or similar experience Service, Servicing, Administration, Administrator, Scheduling, Coordination, Sprinklers, Fire Protection, Quotations, Surveying, Essex, Upminster, Dagenham, East London If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position; the final offer will depend on your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. By applying for this role, you accept our Terms & Conditions, Privacy Policy, and Disclaimers, which can be found on our website.

If you are looking to progress a career in website administrator, then this training and placement programme is made for you? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. All you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career. We help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career. We ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles. Finally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers. We have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme. The programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer. 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 as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week. Stage 1 - Learn HTML and CSS (*up to 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 (*up to 6 weeks) Once the HTML & CSS courses are complete, your trainer will move you forward to the next stage. Stage 2 - Additional Online Training (*up to 12 weeks) The second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead. • Learn the Command Line (*1.5 weeks), • Learn Git & GitHub (*1.5 weeks), • Learn JavaScript (*1.5 weeks) Python is a highly versatile programming language and due to its relatively "easy to understand" commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity. Step 3 - Building a Portfolio Website Project (1 week) Your tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career. In addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended. • AWS Certified Cloud Practitioner We will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or a web development role. Entry level roles typically start between £25K - £40k dependant on any prior knowledge or experience you may have. There are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: - • Junior Developer, • Website Administrator, • Website Support Developer, • Junior Web Developer, • Content Editor, • Wordpress Developer, • Junior Software Developer, • Junior Front or Back End Development Our money back Job Guarantee Due to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we 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. Qualification for this programme? To ensure we maintain a high level of support for our candidates, we limit spaces to this programme. Apply before the deadline and one of our consultants will speak with you to check your eligibility for the programme.

Trainee Network Admin – No Experience Needed Looking for a career change? Maybe you’re already working but want a more technical role with better long-term prospects. Or you could be between jobs and ready for a fresh start in tech. The ITOL Recruit Network Admin Job Programme is designed to help you move into a high-demand network engineering role, even if you have no prior experience. Train online at your own pace and land your network engineering role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£50,000. Why Network Administration? Every business relies on secure, reliable networks to operate. From corporate offices to cloud-based environments, network engineers are essential to keeping systems connected, secure, and running efficiently. This demand translates into strong salaries and long-term job security across industries worldwide. How It Works Step 1: CompTIA A+ Start with the fundamentals of IT systems, hardware, operating systems, and troubleshooting. This stage builds the core technical knowledge required to work in IT environments. Step 2: CompTIA Network+ Develop the skills needed to configure, manage, and secure wired and wireless networks. You’ll cover networking concepts, infrastructure, troubleshooting, and security aligned with industry expectations. Step 3: Practical Network Experience You will apply your knowledge through live labs that reflect workplace environments, giving you the practical experience needed to move into a network-focused role. Step 4 – Job Placement Once qualified, our recruitment team works with you directly to prepare applications, set up interviews, and secure your first role in network engineering. What You Get • 100% online, self-paced training, • CompTIA A+ and Network+ certifications, • Live labs for practical experience, • 1-on-1 tutor and recruitment support, • Job guarantee – get a job or your money back, • Starting salary of £28,000–£50,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. “I expected it to be harder to get into network engineering. Three weeks after I finished the training, I was starting my first role.”– Priya S., Network Technician, Leicester Ready to Start? If you want to build technical skills and move into a network-focused role, this programme is designed to get you there. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Site Engineer Location: Dagenham About the Role We are looking for a Site Engineer to join our service team in Dagenham, responsible for the repair and preventative maintenance of materials handling and ancillary equipment. This is a varied, customer-facing role where you'll be a key technical representative on site, ensuring equipment reliability and excellent service delivery. You'll also support the Area Service Manager, acting as a first point of contact for defined support activities within the service team and helping to maintain strong customer relationships. Key Responsibilities • Carry out preventative maintenance on materials handling and ancillary equipment, • Diagnose faults and complete repairs efficiently and safely, • Accurately complete service reports and timesheets, • Manage and control parts stock on site, • Build effective customer relationships through clear communication, ensuring expectations are met in line with contractual agreements, • Liaise closely with the After Sales Office to provide customers with accurate repair updates and ETAs, • Identify and communicate chargeable follow-up work, completing it in a timely manner, • Ensure all company and customer health & safety procedures are strictly followed, • Identify and pass on sales leads for Jungheinrich equipment and After Sales products, • Automotive Technicians, • HGV Engineers, • Mobile Plant Engineers, • Forklift Engineers, • A full UK driving licence, • A good general level of education, • Experience in a customer-facing role, • The ability to work independently and unsupervised

Contract Senior Electronics / Firmware Engineer – Sensor ExpertiseRate: £400–£425 per day + VAT IR35 Status: Outside IR35 Location: Greater London (3-4 days on site per week min)Contract Length: 3–6 months, with potential extension We’re working with an innovative technology business at the forefront of advanced sensing solutions, seeking a Senior Electronics / Firmware Engineer to support the development of next-generation products. This is an opportunity to join a highly collaborative, multidisciplinary team delivering cutting-edge solutions with real-world impact. In this role, you’ll take ownership of sensor characterisation and optimisation, with a particular focus on humidity and temperature sensing technologies. You’ll play a key part in refining performance, reliability, and integration within sophisticated systems, contributing directly to product development from concept through to validation. This is a hands-on engineering role suited to someone who enjoys solving complex technical challenges and working closely with hardware, software, and mechanical engineers in a fast-paced R&D environment.Key Responsibilities • Characterise, test, and optimise sensor performance, particularly metal oxide and electrochemical sensors, • Design, develop, and iterate electronic circuits and PCB layouts, • Support firmware development for hardware interfacing and system integration, • Collaborate cross-functionally to ensure seamless integration across electronics, firmware, and mechanical components, • Contribute to prototyping, validation, and performance tuning of advanced sensing systemsCore Skills & Experience, • Strong background in electronic engineering, including PCB design and development, • Experience working with electrochemical or metal oxide sensors, • Solid embedded firmware capability (not necessarily specialist level), including:, • Hardware interfacing, • Communication protocols (e.g. LoRaWAN or similar), • Proven experience taking products from development through to testing or deploymentHighly Desirable, • Experience working with volatile organic compounds (VOCs), • Knowledge of air sampling systems or environmental sensing, • Background in healthcare, life sciences, or medical device developmentWhy Apply?, • Work on cutting-edge sensing technologies with meaningful real-world applications, • Join a highly skilled, multidisciplinary team in a collaborative environment, • Opportunity to make a tangible impact on product performance and innovation, • Flexible working arrangements and a strong likelihood of contract extension

Our outstanding and successful client, a national IT Service Provider who support some of the biggest household names in the UK are looking to recruit an experienced IT Field Technician to join them on a permanent basis. You will be based in the Essex &Northeast London area and will attend customer sites in the region to diagnose and resolve technical IT issues relating to customers on-site technology, including EPOS, business systems, and back office servers. You'll be the bridge between tech issues and business success - making a tangible difference for customers! Location: Essex & North London region (on-site visits + remote reporting)Travel: Significant regional travel with some overnight stays (full expenses and accommodation provided)Company Van: Van + fule card provided (full, clean manual UK Licence required to be considered for this role).Hours: Monday to Friday (core hours will be between 8am-5:30pm - with 1 in 8 weekends) Salary & Benefits: Salary will be £26,300 (£24,200 plus £2,100 for standard weekend overtime), plus additional overtime which will take your salary higher. You will get excellent benefits package including 23 days holiday per annum + bank, private healthcare provided through BUPA, death in service (4 x salary), group income protection, company pension. What You'll Do: • Visit customer sites to diagnose & resolve EPOS, network, and business system issues, • Capture photographic evidence and compile clear, actionable reports, • Coordinate fixes - liaise with management, IT providers & third parties, • Mediate IT solutions between franchisees, service desks, and IT contractors, • Ensure accurate stock tracking & report completion for smooth operations, • Excellent experience in IT maintenance and fault diagnosis, including hardware, networks, and systems, • Excellent Customer Service skills and the ability to communicate effectively with internal and external customers, stakeholders and third parties., • High degree of flexibility in terms of hours of work and location., • High level of health, safety and environmental compliance, • Full clean driving license., • Clean DBS required.

Are you a hands-on engineer who loves improving processes and driving real change? Ready to make a visible impact every day? Process Engineer - Exciting Opportunity in Food Manufacturing We're recruiting for an experienced Process Engineer to join a well-established, global food manufacturing business. This is a fantastic opportunity for a Process Engineer to take ownership of key projects and drive site performance and innovation. Based just outside London, this Process Engineer role offers the chance to work in a fast-paced FMCG environment, delivering CAPEX projects and continuous improvements. What You'll Be Doing As a Process Engineer, you will: • Deliver CAPEX projects on time and budget, • Conduct gap analysis and implementation planning, • Create URS and manage suppliers, • Drive continuous improvement initiatives, • Troubleshoot equipment with engineering teams, • Identify process and production improvements, • Lead energy and cost-saving projects, • Manage contractors and site safety, • Track progress and report to stakeholders, • Support training for teams To succeed as a Process Engineer, you'll have: • Engineering qualification (BTEC Level 3 or Degree), • FMCG or food manufacturing experience, • Project management and budget control skills, • Lean / Continuous Improvement knowledge, • Strong stakeholder management, • Clear communication skills, • PRINCE2 / APM / PMI qualification, • Bonus paid twice a year, • 25 days holiday (rising with service), • 4% company pension contribution, • MediCash scheme, • Service awards, • Staff product samples, • Annual BBQ & flu vaccine, • Global, well-established business, • High-impact engineering projects, • Supportive team environment If you're a motivated Process Engineer ready for your next challenge, apply now and take the next step in your career.

Service Coordinator (Sprinklers) £30,000 - £35,000 + Progression + Training + Company Benefits Upminster Are you a Service Coordinator with experience working within the sprinklers industry, looking to join an industry leading business who are experiencing a significant growth period, offering on the job training on surveying and quotation? In this office-based role, you will carry out a variety of administrative and coordination duties, including scheduling engineers for installations and servicing across a range of sprinkler systems. You will also support a small management team with site surveys and quotations, helping to expand your technical knowledge and skill set. Established over 20 years ago, this rapidly growing company specialises in the design, manufacture, servicing, and installation of trusted fire protection sprinkler systems across the UK. Founded by three brothers, the business prides itself on excellent staff retention and a strong culture of internal progression, offering clear opportunities to advance into senior roles. This role would suit a Service Coordinator or similar professional with experience in the sprinkler industry, looking to join a fast-growing, family-run business that offers genuine career development. The Role: • Scheduling engineers for a range of sprinkler installations and services, • Liaising with clients to build and maintain strong relationships, • Supporting a small management team with site surveys and quotations, • Service Coordinator or similar experience Service, Servicing, Administration, Administrator, Scheduling, Coordination, Sprinklers, Fire Protection, Quotations, Surveying, Essex, Upminster, Dagenham, East London If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV. We are an equal opportunities employer and welcome applications from all suitable candidates. The salary advertised is a guideline for this position; the final offer will depend on your experience, qualifications, and skill set. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. By applying for this role, you accept our Terms & Conditions, Privacy Policy, and Disclaimers, which can be found on our website.

Our client is top legal 500 law firm based close to Ilford are currently looking for a Legal Practice Manager to join their firm. The successful candidate will immerse themselves in a dynamic environment, where a comprehensive suite of legal services is delivered with finesse. Specialising in Property, Family Law, Housing law, Employment Law, and Private Client Wills and Probate, the firm prides itself on its meticulous attention to individual and business clients alike. The firm seeks a confident professional, one who can seamlessly integrate into a bustling environment and uphold the high standards synonymous with the practice. Candidates must possess a proven track record in legal practice management, demonstrating a thorough understanding of compliance and operational excellence. A hands-on approach is essential, coupled with the ability to manage multiple tasks efficiently. This role is not merely a chance to contribute; it is a platform for the right individual to make a significant impact, ensuring the continued success of a firm that places client satisfaction and quality service at the forefront of its ethos. This is an office based role Key Responsibilities for this Legal Practice Manager role: • Oversee the day-to-day running of the firm’s offices and ensure efficient administrative operations., • Manage HR functions including staff recruitment, onboarding, training, and performance reviews., • Ensure compliance with SRA regulations, Lexcel standards, AML policies, and GDPR., • Liaise with accountants and manage office finances, budgets, and cost control measures., • Maintain and update office policies and procedures., • Provide leadership and support to fee earners and support staff., • Coordinate IT systems and liaise with third-party providers as needed., • Support partners with strategic planning and business development initiatives., • Assist in managing insurance renewals, premises, and office supplies.Requirements for this Legal Practice Manager role:, • Proven experience as a Practice Manager within a legal environment., • Strong knowledge of SRA compliance, financial management, and HR processes., • Excellent organisational, communication, and problem-solving skills., • Ability to manage multiple responsibilities across two office locations., • A proactive mindset with a strong focus on continuous improvement.For more information about this Legal Practice Manager role please contact Victoria Kemp quoting reference 37529 PLEASE CHECK YOUR EMAIL (INCLUDING SPAM FOLDER) FOR CONFIRMATION YOUR APPLICATION HAS BEEN RECEIVED. In accordance with The Conduct of Employment Agencies and Employment Businesses Regulations 2003

Cyber Security Placement Programme - No Experience Required Are you looking to benefit from a new career in IT and Cybersecurity? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. 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 - Accredited Online Training The first step is completing a selection of professional, accredited and industry recognised courses from CompTIA which is the global leader in IT Technician, Networking and Cybersecurity training. The training is delivered via multimedia rich video tutorials, practice labs, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor and a support mentor to help you throughout your training. Step 2 - Practical Training You will gain practical experience by using practice labs which enable you to practice and master what you have learned. Gaining practical hands-on experience gives you confidence to be proficient in your first IT role. This combination of theoretical and practical skills is what line managers need you to have to be effective and confident in your role. Step 3 - Official exams You will then go on to sit the CompTIA A+ and the CompTIA Network+ exams to give you the official certifications which will be recognised not only in the UK, but worldwide. The CompTIA A+ is the most asked for certificate for entry-level IT roles and the certification most IT Managers start their own careers with. All PCs in a professional environment are networked to servers, cloud based or otherwise and the Network+ gives you a needed foundation level of knowledge in networking. Step 4 - IT Technician placement (£26-£35K) We work with you to secure your first role as an IT Technician, with a starting salary of anywhere between £26K-35K. Ideally you will need to gain two years’ experience in this role before you can progress into a cyber security role. While working as an IT Technician, we will release your second batch of training which is specifically designed to qualify you to move into the cybersecurity field. This official, accredited training consists of online training, practical training and an official exam (CompTIA Security+). Further we can tailor the package to include courses like the Certified Ethical Hacker and Certified Network Defender depending on your requirements and future direction. Cybersecurity Role Once you have completed all the mandatory training in step four and have gained two plus years experience in the IT industry, you will be ready to move into higher paying Cybersecurity roles. Our recruitment support team specialises in the IT and Cybersecurity space and roles at this level have an average starting salary of £35K. 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) and the EC-Council 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 IT staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you up to 100% of your course fees back. This is subject to our terms of learning/ terms of business. Passionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch. Keywords: IT Technician, IT Helpdesk, IT Security, IT Field Engineer, Cyber Security, IT Support, 1st Line Support, 2nd Line Support, IT Training Course, Cyber Training Course, Cyber Security Course, First Line Support, Second Line Support, IT Security Engineer, IT Engineer, CompTIA A+, CompTIA Network+, CompTIA Security+, Ethical Hacker

Ready to step up as a Health and Safety Manager and lead from the front? Join a growing manufacturer where you will drive real change across two fast paced production sites. The Role As Health and Safety Manager, you will own all aspects of HSE, ensuring compliance, leading audits and driving environmental and sustainability improvements. Key Responsibilities • Lead Health and Safety strategy and ensure compliance with PUWER, DSEAR, Working at Height and Fire Safety, • Act as the main contact for HSE and Fire Authorities, • As Health and Safety Manager, lead risk assessments, audits, incident investigations and RIDDOR reporting, • Support occupational health and health surveillance programmes, • Proven experience as a Health and Safety Manager within FMCG or manufacturing, • Experience in Environmental Management, • Strong knowledge of COSHH, PUWER and DSEAR, • NEBOSH Diploma with IOSH or IEMA preferred, • Experience with ISO45001 and ISO14001, • Confident influencing teams and working with regulators, • Flexible to support a 24 7 operation, • £440 per month car allowance, • Up to 5% bonus, • 25 days holiday plus bank holidays, rising with service, • Pension with employer contribution, • Private healthcare, • Life assurance, • Free on site lunch and drinks

Job responsibility 1. Work with local Regional Sales Leadership to plan, execute and track impactful monthly marketing plans, promote Growatt brand within regional market., 2. Plan, execute and measure impact of 3rd party events and trade show sponsorships as well as Growatt or field distributors’ hosted events and localized client/customer forums., 3. Support sales team and distributors for project technical proposals, workshop, webinars and product demonstration etc., 4. Improve the capability of sales team and local distributors through providing continuous training and technical consultancy., 5. Collect the field market intelligence and support new product development or upgrade, define and implement the new product go-to-market plan for regions, create the local language marketing document and videos for product/solution promotion., 6. Maintain long term cooperation and good relationships with field distributers and channel customers. Requirement 1. English speaking are mandatory, 2. Bachelor's degree or above., 3. Active, conscientious, strong responsibility feeling in working. Good communication ability & team working. Well in task planning & target hitting., 4. At least 1 years of experience working in product marketing, service or pre-sales technical role. Familiar with solar industry market, PV inverter, energy storage products and applications, know how to professional communicate with local distributers or end users., 5. Frequent business travel.