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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Power trust at scale. As a Privacy Solutions Product Owner, you'll be the privacy subject matter expert across personalisation, measurement, attribution, advertising, identity resolution, and targeting. Drawing on deep experience in how data driven products work, you'll guide teams through complex device level data flows, assess realworld impacts, and lead incident response when risks surface. Alongside this, you'll help build and evolve a practical privacy toolkit-patterns, guardrails, and automated checks-that teams can apply consistently in delivery. What you'll do; • You'll operate at the intersection of privacy, device data, and real-world delivery, acting as a subject matter expert for addressable technologies., • Lead as the privacy SME for datadriven use cases - provide expert guidance across personalisation, measurement, attribution, advertising, identity resolution, and targeting., • Assess complex devicelevel data flows - conduct technical impact assessments covering identifiers, signals, and metadata (e.g. cookies, mobile IDs, IPbased and probabilistic signals) across platforms and partners., • Guide teams through realworld privacy decisions - apply deep domain knowledge to shape solutions, tradeoffs, and mitigations grounded in how systems actually operate., • Build and evolve a practical privacy toolkit - develop and iterate reusable patterns, guardrails, and automated checks that teams can apply consistently in delivery., • Embed with delivery teams - review technical designs, implementations, and onboarding of new tools, SDKs, vendors, and platforms, challenging approaches where privacy risks emerge., • Lead privacy incident response - act as the onpoint SME during incidents, supporting rootcause analysis, impact assessment, and remediation., • Raise capability across teams - coach engineers and product teams on privacyaware data patterns, consent enforcement, signal minimisation, and responsible use of device data. What you'll bring;, • You bring deep domain expertise and the confidence to lead in complex, ambiguous situations., • Builder mindset with product ownership - you enjoy designing and evolving technical frameworks and tooling, with clear ownership of roadmap, backlog, and outcomes for shared privacy capabilities., • Strong addressable data expertise - understanding of devicelevel data collection across web, mobile, and OTT, including tags, SDKs, pixels, serverside instrumentation, and event pipelines., • Identifiers and signals knowledge - familiarity with cookies, mobile IDs, and IPbased and probabilistic signals, and how they're used in measurement, personalisation, attribution, and targeting., • Regulatory and governance literacy - sufficient awareness of GDPR (UK/EU), TCF, PECR, and DPIAs to spot risks early, ask the right questions, and apply governance concepts pragmatically in technical contexts., • Assuranceled, deliveryembedded influence - skilled at assessing complex data flows, supporting incident response, and influencing engineers, architects, vendors, and stakeholders through clarity, evidence, and practical solutions. Team overview The Marketing Technology team deliver capability that allows us to attract, engage &"retain"customers and measure the effectiveness of our journeys and marketing spend, utilising best-in-class tech solutions. The team will focus on:" • Deepening of Martech specialisms and greater alignment and visibility across the group to drive"additional"value and economies of scale", • Future-proofing Martech stack to drive media efficiencies and ensure campaign effectiveness through deployment of new capabilities", • Embedding best practice technologies and championing their adoption to further"consolidate"technology choices", • Ensuring stellar customer experience by helping select and deliver consistent, personalised, cross-channel journey orchestration and optimisation", • Building internal Martech capabilities to enable & empower teams across Sky Residential & Group OTT and to drive operating efficiencies" The Rewards: There's a reason people can't stop talking about #LifeAtSky! Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of best-in-class Sky VIP rewards and experiences How You'll Work: We know the world has changed, and we want to offer our employees the chance to collaborate at our outstanding office spaces, whilst enjoying the convenience of working from home. We've adopted a hybrid working approach to give more flexibility on where and how we work. You'll find out more about what this means for this role during the recruitment process. Your Office Base: 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. OR Leeds: Our spacious tech hub is under a mile away from Leeds train station. There's plenty of parking in the surrounding streets and at the nearby CitiPark. You can also blow off steam over a game of pool or table tennis, and stay fit at our subsidised gym. Inclusion: At Sky we don't just look at your CV. We're more passionate about who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working. We are a Disability Confident Accredited 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. Why wait? Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you. To find out more about working with us, search #LifeAtSky on social media. 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. Please note: We reserve the right to close this advertisement at any time once we have received a sufficient number of applications.

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

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Develops advanced analytics methods such as predictive modelling, time series forecasting, clustering algorithms etc., using appropriate tools and technologies (Python/SAS), • Analyses large amounts of information to discover trends and patterns in complex datasets., • Designs experiments and build models that can help improve customer experience or optimise operational efficiency., • Collaborates with stakeholders across the Organisation to understand their needs and develop relevant analytical solutions., • Creates visualisations of results using various SaaS platforms or other Python software packages., • Monitors performance of models over time by tracking key metrics., • Present findings in a clear manner using reports or presentations. What you'll bring, • Proven commercial experience delivering data science projects end-to-end-from exploratory data analysis and feature engineering to model development, validation, and translating results into actionable insights., • Fluent with data manipulation and ML frameworks for EDA, feature extraction and development, modelling., • Prior exposure to time series forecasting, • Strong Python background with the ability to write clean , modular, and maintainable code following best practices including abstraction, exceptions handling, and testing to support long-term maintainability., • Highly skilled in SQL , especially in the context of data exploration, reporting, feature creation / extraction, and integration with analytic workflows., • Proficiency in building interactive data visualisations using tools and frameworks such as Dash, Streamlit , or Superset, enabling clear communication of model outputs and analytical insights., • Comfortable working in Agile environments, participating in sprint planning, retrospectives etc., • Excellent communication skills, with the ability to explain complex analytical concepts to technical and non-technical stakeholders. Team overview Our team focuses on technology strategy, design and delivery. From AI to 5G to Cloud, we work on the latest tech whilst building out our web presence and CRM systems for fixed and mobile networks. We're bold, proactive, forward-thinking and collaborative. Together, we're proud of the products and services we deliver for our customers. The rewards There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few: • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Brick Lane: Our Brick Lane office is in the heart of the East End of London. It's part of a vibrant and diverse community; close to street food, cafes and shops. The closest tube station is Aldgate East and Liverpool Street is about a 10-minute walk. The hybrid working expectations for this role are 2 days in the office per week in Brick Lane We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

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

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

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

IT Technician Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career in IT.\n\nWe are recruiting for companies who are looking to employ our IT support Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee upon completion.\n\nWhether you are working full time, part time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is broken down into 3 easy steps, which can be finished in as little as 3 months:\n\nStep 1 - Online Training\n\nThe first step is completing a selection of professional, accredited and industry recognised IT Support courses by CompTIA, Microsoft and Cisco. The training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study from home. You will also be assigned an expert tutor to help you throughout your training.\n\nStep 2 – Practical Training\n\nYou will gain the practical experience by using our cutting edge Livelabs. Gaining hands-on experience is essential in today’s IT industry for both certifications and keeping up to date with new technologies. Theory is often not enough these days, companies require hands on practical experience to make sure you're job ready.\n\nStep 3 – Official exams\n\nYou will then go on to sit the CompTIA A+ exams to give you the official certifications which will be recognised worldwide. The CompTIA A+ is the most commonly asked for certificate in entry level IT roles. Guaranteed Job Placement At this point you will have fully completed our IT Support Traineeship and be ready to start work.\n\nThrough our range of partnerships throughout the UK with IT organisations, we are able to place you into an entry level IT role within your local area. We can guarantee you a starting salary of between £20-30k, working in either an IT Technician/Desktop Support/First Line Support Role.\n\nWe guarantee you will be offered a job upon completion or we will refund you 100% of your course fees back. At a one off cost of £795, or a deposit of £112 followed by 10 interest free monthly instalments of £78, this represents a great opportunity to start a rewarding career in IT.\n\nRead through the information? Passionate about starting a career in IT? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Health & Safety Placement Programme\n\nOur training will help you kick-start a new career in Health & Safety.\n\nWe are recruiting for companies who are looking to employ our Health & Safety Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training courses will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 3-6 months:\n\nStep 1 - Introduction to Health & Safety\n\nYou will begin by studying the Introduction to Health & Safety online course. Here you will learn about the basics of health and safety.\n\nThe course is delivered online in its entirety through video tutorials, quizzes and presentations. You will be given access to your own learning portal which allows you to study from anywhere.\n\nUpon completion of the course modules, you will sit a short, multiple choice quiz.\n\nStep 2 - NEBOSH\n\nYou will need to decide whether you would like to study the NEBOSH General, Construction or the Fire Safety course, depending on the path that you intend your career to follow. You will have an expert tutor on hand if required.\n\nNEBOSH as a governing body sets such high standards that it’s therefore the most sought after qualification not only in the UK, but across the globe. Becoming NEBOSH certified truly sets you apart from the rest of the field.\n\nStep 3 - Risk Assessments\n\nThe third step focuses on the practical application of what you have learned during your studies. You will write a series of risk assessments that need to be up to a workplace standard. This is not only to ensure that you have retained all that you have learned, but is also a requirement to gain your NEBOSH certification.\n\nStep 4 - NEBOSH Exams\n\nThe final step will be to sit the official NEBOSH exams, which we will book for you once you are ready. The exams can be sat in one of the official NEBOSH testing centres, or online. (Online only currently available for general certificate).Once your exams have been passed, you will be ready to move onto our recruitment stage and start your new career within the world of Health and Safety.\n\nYour Job Upon Completion\n\nOnce you have completed all of the mandatory training and exams, we will place you into an entry level health & safety role as either a advisor, officer or coordinator, where you will be guaranteed a starting salary of £25K-£40K. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates.\n\nResponsibilities:\n• Maintain and manage health and safety polices, safety training and document control systems\n• Maintain, update and create standard operating procedures and assist in the implementation of continuous improvement safety projects\n• Ensure all health & safety policies, procedures, rules and regulations are adhered to, regularly reviewed, updated and communicated\n• Complete regular reviews of risk assessments for all work equipment and operations\n• Ensure that all accidents are documented, investigated and recommend improvements\n• Conduct safety inspections, fire drills and fire alarms are correctly reported, safety inspections, risk assessments and lone working procedures are managed, and employees are aware of their responsibilities\n\nAt a one off cost of £1095, or a deposit of £162 followed by 10 interest free monthly instalments of £113, this represents a great opportunity to start a rewarding career in health & safety and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees.\n\nRead through the information? Passionate about starting a career in Health & Safety? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Set up in 2008, ersg is an award winning, international leader in staffing services to the renewable energy markets. We work with major international companies through to smaller independent businesses to enable their projects to be facilitated effectively throughout the entire project life cycle. Whilst headquartered in London, our global business has over 200 staff with offices across Europe, the US and Asia. As a 360 Consultant you will: • Use outbound sales and business development techniques to attract and develop new business from client companies, • Visit clients and project sites to build and develop positive relationships, • Utilise networking opportunities at industry events and conferences, • Working towards exceeding targets relating to the number of candidates placed and total revenue billed, • Generate leads through various techniques, including candidate calling and market research, • Work with the Delivery team to review applications, manage interviews and create a shortlist of candidates for the client, • Own the entire sales cycle and close high-level deals, • Negotiate pay and salary rates, • Take ownership of your own specialist market, in which you can grow out and develop a team around you About you: • Experience in a recruitment or sales/business development role is desirable, • Motivated to prove yourself as a key player and provide the best service for clients and candidates, • Tenacious and resilient, not phased by setbacks and comfortable in high pressure situations, • Excellent communication and organisational skills, • A-Level, or degree qualified desirable, • Proven fluency in English; additional languages are a bonus, • Proficient in Microsoft office, • Outgoing and friendly personality “ersg are an equal opportunities employer; we are committed to promoting equality of opportunity for all staff job applicants. We do not discriminate against staff or applicants on the basis of age, sex, race, disability, pregnancy, marital status, sexual orientation, gender reassignment or religious background; all decisions are based on merit."

Salesforce Developer Up to £65,000 per annum Bromley, Kent Permanent Full-Time We have an opportunity for an experienced Salesforce Developer to join us. Your day to day will include: • Gathering requirements from product backlog and design specs., • Translating business requirements into user friendly and maintainable solutions., • Ability to design and implement declarative and programmatic solutions to the highest standard., • Recording technical specifications and communicating effectively to non-technical stakeholders What we require • Demonstrable experience as a Salesforce developer., • Salesforce Certified Administrator and Platform App Builder. Salesforce Certified Developer 1 would be an advantage., • Extensive Configuration experience (Workflow, Process Builder, Flows etc.)., • Experience with customization on the Salesforce platform using Apex, SOQL, SOSL, Data Loader and other declarative tools., • Experience of Salesforce Sales or Service Cloud., • Knowledge of Salesforce Marketing Cloud would be an advantage., • Competitive Salary – Up to £65,000 per annum, based on experience and skills, • Generous Leave – 25 days annual holiday plus bank holidays to recharge and relax, • Life Assurance – Coverage of 4x your pensionable earnings for peace of mind, • Pension Scheme – Contributory plan to help you invest in your future, • Day of Caring – 1 paid day per year to support a charity of your choice, • Wellbeing Support – Access to our Employee Assistance Programme for confidential help and guidance About us Foresters Financial is not your typical financial services provider. Those who join our purpose-driven organisation enjoy a culture of collaboration, creativity, and mutual respect and are challenged to do their best to make a difference every day. We help everyday families achieve their financial goals and make a lasting difference in their lives and communities. What we do We help everyday families achieve their financial goals and make a lasting difference in their lives and communities. We will continue to do this by employing enthusiastic and talented Financial Advisers working across the country and equally talented people to be based at our Head Office in Bromley.

CNC MillerFull-Time - 37.5 hours per weekBased in DartfordWe are seeking a skilled CNC Miller to join our precision engineering team in Dartford. This role involves machining high-quality components to tight tolerances, working from detailed technical drawings within a busy manufacturing environment.Key Responsibilities Programming, Setting and operating CNC 3 axis milling machines Producing precision components to specification and fine tolerances Familiarity of working with Heidenhein controls would be advantageous Reading and interpreting engineering drawings Selecting appropriate tooling and materials Performing quality checks to ensure accuracy and finish Maintaining machines and ensuring safe operation Working collaboratively with the workshop team to meet production targetsCandidate Requirements Proven experience as a CNC Miller in a precision engineering environment Ability to set and operate CNC milling machines independently Strong understanding of engineering drawings and tolerances High attention to detail and commitment to quality Ability to work both independently and as part of a team Flexible approach to workload and deadlinesBenefits 37.5 hours per week with overtime available 30 days paid holiday (including public holidays) Pension contribution Free refreshments On-site parking Personal career development opportunities Introductory training provided Discretionary Christmas bonusSalaryCompetitive salary based on ability and experience.

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.

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer 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-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 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. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Sales & Business Development • Developing ownership and delivery of agreed sales budgets and forecasts, • Identify new business opportunities along with the maintenance and development of existing accounts, • Increase company's sales and profitability, • Ensure continuous improvement in level of knowledge and expertise in industry developments and convey this to colleagues, • Demonstrable experience delivering exceptional customer service, sales growth and customer retention., • Strong commercial acumen and a consultative and honest approach to securing sales., • Degree qualification or equivalent, minimum 5 years' experience, • Outstanding track record of sales and business development within a technical arena and delivering exceptional customer service, sales growth and customer retention and solid experience of selling technical solutions and services, • Excellent communication skills both written and verbal, must have the ability to communicate at all levels within an organisation, • Proficient in Microsoft Office Suite including Word, Excel, PowerPoint etc., • Background in the Railway business would be advantageous but not essential, • The position will be primarily office based at our premises in Rainham, Essex but may include some customer visits (UK only) where necessary, • To provide a good work/life balance the position will be Monday - Friday, broadly 08:15 till 16:00, • Competitive salary, • Company pension scheme, • The use of a fully expensed pool car when necessary, • 25 days annual leave plus UK bank holidays (33 days paid leave total)

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Front-End Developer (React and React Native) Competitive salary Bromley, Kent Fixed Term Contract (12 Months) We’re looking for an experienced Frontend Developer (React & React Native) to join our Digital Solutions team on a 12-month fixed-term contract. In this hands-on role, you’ll play a key part in growing our digital platform, delivering intuitive omni-channel services for our customers, and enhancing the workflows and systems that support our customer-facing teams. You’ll be involved across the full development lifecycle from collaborating with the business to understand customer needs, through design and build, to testing and release. Strong React and React Native expertise, a passion for clean, scalable front-end development, and a customer-first mindset will be critical to your success. What you will do • Design, build and maintain web applications using React, • Develop and support mobile applications using React Native, • Integrate applications using RESTful APIs, • Deploy applications and support releases into production, • Build responsive, accessible and well-structured user interfaces using HTML, CSS and JavaScript, • Contribute to front-end architecture and application design, • Collaborate with the business, architects and other multi-skilled team members to gather requirements and shape solutions, • Take ownership of projects from concept through to delivery, • Estimate, prioritise and manage workloads effectively across the development lifecycle, • Ensure solutions meet both technical standards and business needs, • Stay up to date with emerging trends and best practices in web and mobile development What we require • Proven experience developing with React JS and React Native, • Strong experience with Redux Toolkit, • Solid understanding of modern JavaScript, HTML and CSS, • Experience building secure, customer-facing front-end applications, • Ability to work with web services that integrate with external systems, • Experience designing or working closely with APIs, • .NET / C# experience is desirable but not essential, • Confident communicator, able to work effectively with both technical and non-technical stakeholders, • Excellent problem-solving and analytical skills What we offer you • Competitive salary, • Annual holiday allowance of 25 days holiday plus bank holidays, • Life Assurance (based on pensionable earnings), • Generous contributory Pension scheme, • 1 days paid charitable workday, • Employee Assistance Programme About us Foresters Financial is not your typical financial services provider. Those who join our purpose-driven organisation enjoy a culture of collaboration, creativity, and mutual respect and are challenged to do their best to make a difference every day. We help everyday families achieve their financial goals and make a lasting difference in their lives and communities. What we do We help everyday families achieve their financial goals and make a lasting difference in their lives and communities. We will continue to do this by employing enthusiastic and talented Financial Advisers working across the country and equally talented people to be based at our Head Office in Bromley.

Building Safety Team Lead Barking (Hybrid – site / office / home) Permanent, Full-Time £75,000 – £80,000 Goodman Masson are delighted to be partnering with Barking & Dagenham Reside to appoint a Building Safety Team Lead — a critical hire at a time of increasing regulatory focus and organisational growth. This is a senior leadership role sitting at the heart of building safety, offering the opportunity to shape strategy, drive compliance, and embed a proactive safety culture across a high-risk residential portfolio. The Opportunity Reporting to the Head of Resident & Building Safety, you will lead both the strategic direction and operational delivery of building safety across Reside’s higher-risk buildings. With responsibility for a growing team, you’ll oversee safety cases, risk management, regulatory compliance, and the “golden thread” of building information — ensuring data is accurate, accessible, and regulator-ready. You’ll act as the key escalation point for complex safety matters, working closely with senior stakeholders, the Building Safety Regulator, and operational teams to ensure residents remain safe and informed. Key Responsibilities • Lead and embed building safety strategy, policies, and procedures across the organisation, • Oversee the production and quality assurance of Safety Case Reports, • Ensure compliance with the Building Safety Act, Fire Safety regulations, and wider statutory requirements, • Act as the operational interface with regulators and external partners, • Drive data governance and continuous improvement of building safety systems, • Provide leadership, direction, and development to a team of Building Safety professionals, • Champion resident engagement and transparency in building safety matters We’re looking for a building safety professional with strong leadership capability and a strategic mindset. You’ll bring: • Significant experience managing building safety across high-risk residential buildings, • In-depth knowledge of the Building Safety Act, Fire Safety Order, and regulatory landscape, • Proven experience leading technical teams in a safety-critical environment, • Experience developing policies, processes, and organisational frameworks, • Strong understanding of fire safety systems, construction, and risk management, • The ability to influence at senior level and drive cultural change, • A relevant Level 6 qualification (or equivalent) in Building Safety / Fire / Construction Why Join Reside? Reside is a forward-thinking, resident-focused organisation committed to delivering safe, high-quality homes and services. This role offers genuine scope to influence, lead, and make a lasting impact. Benefits include: • 30 days annual leave + bank holidays, • Generous pension (up to 10% employer contribution), • Private healthcare + cash plan, • Flexible and hybrid working, • Annual leave buy/sell scheme, • Employee wellbeing support (EAP) If you’re ready to step into a role where you can lead from the front, shape strategy, and make a tangible difference to resident safety, we’d be keen to speak. Apply now or contact for more information.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Job Detils: Role Name : C# Developer Type : Contract – Inside IR35 Location : Bromley (BR1 1LR), UK Hybrid/Remote : Hybrid – 2 to 3 days per week onsite Start Date : ASAP Duration : 2 Years Job Description: • This is a unique and exciting opportunity for a dynamic, enterprising mid-level developer to join the fastest growing area in Equities Derivatives Technology and contribute to the continuing buildout of technology and process automation solutions to enable significant SN and SP business growth. The successful candidate will • Collaborate with other team members, platform teams, sales, trading, structuring, operations to achieve a collective result., • Help build applications, services and tools that drive end to end automation, continuous monitoring, exception alerting, and metrics gathering to aid SN/SP decision-making., • Optimize Treasury workstream, with a view to increasing STP Rates into Treasury and supporting additional attributes requested by different Treasury Teams. Must Haves : • Strong C#, • Strong React, • Strong Python, • Solid hands on coding ability The ideal candidate will possess • 7+ year of technology development experience and specifically 3+ years of experience in development of front-office equities derivatives systems., • Ability to define relevant areas of the roadmap and articulate the vision to senior stakeholders, product owners and teams., • Excellent communication, collaboration, interpersonal skills and demonstrate the capability for juggling multiple competing priorities., • Candidates will be proficient in software design focused on a cross-language REST based n-tier architecture and executed using agile methodologies (Scrum, Test Driven Development, unit/integration testing, pair programming, etc.). The successful candidate will be comfortable driving design and architecture, rationalizing business requirements and mentoring less experienced developers. There will be significant interaction with senior developers across other work streams as we integrate an increasingly complex product set. Responsibilities will include but not be limited to the following: ROLE / RESPONSIBILITIES • Develop a thorough understanding of our entire technology stack, • Design and develop new features within existing Python services; create new services to expand the overall framework, • Contribute to future design and architecture, • Plan work in an agile manner with other team members, • Write acceptance tests in coordination with QA, • Provide L3 user support, • Communicate with our business and platform partners, • Improve and develop our CI pipeline and deployment strategies BUSINESS KNOWLEDGE • Equity Derivatives, • Regional variations of Products and Trading, • SP and SN is a plus

G2 are currently searching for a SHEQ Advisor! The client is looking for a permanent SHEQ Advisor to join there team on a part-time basis on an operational process plant, you will be working with the plant owner who works in the clean energy space. The role would require for you to act as a key safety specialist onsite. Working as part of a global safety team, you would work on the live operational safety of the plant, be a hands on member of the team whilst working towards operational incident free safety and maintaining all standards up to company expectations. Location: Dartford, UK. Contract: Permanent Salary: £45,000 - £50,000 per annum Experience with: • Align company standards with local guidelines and regulations., • Experience in the waste or high-risk processing environments, • Operate IMS systems, perform audits, inspections and risk assessments., • Someone with several years of HSE experience with an understanding of national and international HSE legislation., • Experience with ISO 9001, 14001 and 45001. The role requires a strong SHEQ Advisor who is confident in advising operational, maintenance and site-based staff on quality, health, safety and environmental issues. We can be reached by email on . 0031 20 808 7445

Company Overview Stericycle is an industry-leading waste management company dedicated to supporting healthcare organizations and businesses of all sizes. Our mission is to protect health and well-being through safe, responsible, and sustainable waste management services that safeguard communities and the environment. Summary We are seeking a dedicated Environmental Health and Safety Manager to join our team in the United Kingdom. Based in within the South of England (Kent to Somerset would ideal) this role plays a vital part in ensuring our operations meet the highest safety standards while aligning with our mission to create a healthier and safer world. Responsibilities • Develop and implement environmental health and safety policies in accordance with industry regulations., • Conduct risk assessments and root cause analysis to identify potential hazards., • Oversee incident investigations and ensure corrective actions are taken., • Coordinate emergency response procedures, including first aid protocols., • Prepare detailed reports on safety performance and compliance., • Train staff on health, safety, and environmental best practices., • Promote a culture of safety awareness across all levels of the organization., • Qualifications, • Proven experience in environmental health and safety management within the healthcare or related industries., • Strong knowledge of UK safety regulations and standards., • Excellent report writing skills for documentation and compliance reporting., • Ability to conduct root cause analysis effectively., • First aid certification is highly desirable., • Strong communication skills and leadership qualities., • Analytical mindset with problem-solving capabilities. Join us at Stericycle to make a tangible difference in community health. If you are passionate about safety and sustainability, we invite you to bring your expertise to our innovative team—where your efforts truly matter.

Company Description At UI Social Infrastructure, we revitalise homes and communities through the regeneration and maintenance of living spaces, breathing new life into neighbourhoods and ensuring homes are safe and compliant. From delivering large programmes of work for social housing providers, to fully integrated property service solutions, we provide a wide range of services for public sector clients. Our experienced teams are specialists in working within occupied properties, ensuring that there is minimal disruption to residents and communities. We collaborate with community and social value specialists to deliver long lasting benefits for all. Job Description Join the thriving and dynamic UI Social Infrastructure team in Brentwood! As a rapidly growing business, we are excited to welcome a new Senior Quantity Surveyor to contribute to our success. If you're looking for a long-term career opportunity with a Main Contractor, where you can develop your skills and be part of an industry-leading organisation, this role is for you. You are to be the commercial lead on a long term partnering framework and be responsible for the commercial success of the projects whilst adhering to commercial administration procedures. To promote and deliver a collaborative environment with both the client and throughout the management of the subcontract / supply chain account. Pre-contract The preparation of tenders as directed including checking of quantities, scope and programme. Compile tender event schedule for pricing. Analyse Subcontract tender quotations for exclusions and conditions and compile tender offering to client.(minimum 3 quotes) Adhere to internal settlement gateways prior to tender return release. Advise client on tender qualifications, allowances and ensure pricing is inline with Partnering Framework. Project delivery Co-operate and work in partnership with the project team to ensure consistent delivery of successful projects in order to support the achievement of business unit objectives and to deliver target margins. Support the Operations Manager to ensure that all significant project issues and correspondence and all necessary contractual processes have been observed, notices issued, records kept and documents stored by the team to protect the company’s position, seeking advice from the Commercial Manager where necessary Provide advice to the management team on contractual, valuation and measurement matters. Procurement Prepare and implement the project procurement strategy with Operations Manager Support the Group Procurement Department buying deals by ensuring they are communicated to subcontractors at tender stage and applied at order stage Chair subcontract interview meetings in association with Operations team Prepare subcontract enquiries including site measurement and formulating the tender list in consultation with the wider management team along with subsequent analysis and assessment of subcontract quotations. Negotiate sub-contract packages to deliver the most favourable outcome for the company. Draft and place sub-contract orders as and when authorised and ensure no subcontractors commence on site without a subcontract order fully completed. Main Contract Support the Operations Manager in providing monthly reports to the Client, ensuring that such reports contain accurate forecasts of our rolling draft final account, full information concerning variations and record contractual notices and reporting. Develop & maintain close relationships with client, consultants & subcontractors to continuously improve customer experience, improve our Company position and obtain repeat & negotiated business. Evaluate submit and agree the price of C.V.I's and contract Instructions provisional sums, demonstrate value for money etc Prepare and agree monthly valuations with the clients representative and ensure same are invoiced, paid, in full and on time Ensure that any agreement with client representatives is documented Ensure that adequate records are kept in respect of any future claims. Prepare and submit alternative proposals for material and specifications to the client for approval Site Overhead costs and advise the Operations Manager on action to be taken to remedy over-expenditure with client. Prepare and agree quarterly open book audits (cost and value reconciliation) with the clients representative and reach final account position yearly. Prepare and once approved by line manager submit all necessary contractual claims Subcontract Prepare and negotiate interim valuations and final accounts including all necessary measurement as well as making sure that any agreement of variations with supply chain is documented. Measure, value, negotiate and check as necessary all subcontract interim and final account applications and process all associated payments in accordance with the Construction Act and/or other prevailing legislation Inform the Commercial Manager of any possible claims by subcontractors and prepare and/or seek direction in preparing any necessary documentation/correspondence to protect the Company’s interests. Prepare response to any claim for loss and expense, after liaison with their line manager Financial Having full project(s) profit and loss accountability Competent use of company cost system Manage the CVR process, in conjunction with the Operations Manager, understanding and accurately forecasting project values, costs & margins against the target margin and profit plan, and agreeing changes and solutions with the Contracts / Project Manager prior to implementation Forecast cash on an accurate and timely basis, ensuring that the cash position of the project is maximised without compromising our contractual arrangements and relationships with either customers or subcontractors & suppliers Ensure profit plans are understood for each scheme/project and monitor and deliver on agreed areas and work on identifying further areas for recovery. Raise alarm signals to the Commercial Manager when the contract is straying outside the cost and profit parameters. Use best endeavours and seek to maximise margins in co-operation with the Operations Manager. Monitor preliminaries / site management costs and advise the Operations Manager on action to be taken to remedy over-expenditure. Prepare and present commercial elements at the site Monthly Contract Review Meeting Legal / Dispute Assist in the preparation of ‘claims’ or other means of dispute management to correct an imbalance of cost and value. To include drafting and sending contractual letters and supporting information. Study contract documents and advise on onerous conditions therein including the preparation of briefing notes for Operations Manager. Upon receipt of contract, ensure that comparison of contract documents with tender documents is carried out and advise on any anomalies as well as ensuring that terms are in line with House Rules. Other Manage all of the People responsibilities for your team including undertaking and monitoring the completion of Performance & Development Reviews, supporting and coaching team members to achieve both individual and business objectives. Attend site meeting and client meetings as necessary. Under supervision support in the collation of relevant documentation relating to insurance claims. Maintain and continuously improve commercial /legal/contractual awareness. Knowledge of and compliance with Group Delegated Authorities and Contracts Process. Ensure compliance with document control system Involvement in community engagement activities within and outside normal working hours Working in one or more locations as required Any other duties assigned. Qualifications • BSc in Quantity Surveying or similar commercial related course, • Professional qualification MRICS or MCIOB desirable, • Good data interrogation skills, • Line Management experience, • Commercial Awareness with good legal/contractual knowledge and experience, • Experience of Management accounts, • Proficient in Microsoft office particularly Excel, Access and keen to extend knowledge on software packages, • Commercial contracting experience, • Re-measurement skills, • Previous experience in construction or similar sector, • Valid driving licence, • CSCS card at appropriate level, • Take responsibility for own development

Job Description Our Social Infrastructure team are seeking a skilled and detail-oriented Estimator to join our dynamic team in Swanley, United Kingdom. As an integral part of our organisation, you will play a crucial role in accurately assessing project costs and preparing competitive bids for our clients in the Social housing sector. Previous experience in this sector is essential. • Analyse project specifications, drawings, and other relevant documents to prepare accurate cost estimates, • Collaborate with various departmental functions to ensure tender returns are accurately priced, commercially sound, and technically detailed, • Develop and maintain strong relationships with clients, suppliers, and other professionals to foster future tender success and new client opportunities, • Prepare and present detailed tender cost build-ups, ensuring strict timescales are maintained throughout the tendering process, • Support the transition between the tender phase and project handover, ensuring smooth communication with project delivery teams, • Continuously monitor market trends, material costs, and labour rates to maintain up-to-date pricing information, • Identify potential risks and opportunities within project estimates, providing recommendations to mitigate risks and maximise value, • Minimum of 5 years' experience in the construction industry, preferably with a background in Social Housing, • Knowledge of the JCT & ACA suite of contracts, • Ability to 'take off' from design drawings, interpret specifications, and prepare Bills of Quantities, • Strong mathematical and analytical skills, with a keen eye for detail, • Proficiency in estimating software or aptitude to learn, • Excellent communication and negotiation skills, with the ability to present complex information clearly and concisely, • Ability to work under pressure and meet tight deadlines in a fast-paced environment, • Strong organisational skills and ability to manage multiple projects simultaneously If you are ready to be part of our expanding team and contribute to our success, apply today for immediate consideration. Join us on this exciting journey of growth and innovation! • As a business United Living prefer to hire directly and we will be in touch with our PSL Agencies if we require support. We do not accept speculative CVs from agencies. If speculative CVs are sent, no fee will be applicable.

About the Job 🧑 ⚖️ Role | Transport Co-ordinator 🎯 Areas | Operations, Planning, Coordination ✨ Tech | Excel, Internal Systems 📍 Based | Dartford 💻 Remote | Office based 💰 Offer | £35,000 Hi 👋 Our client is a growing organisation looking to strengthen their operations team with a proactive and organised Transport Co-ordinator. This is a great opportunity for someone ready to step up and take more ownership within a fast paced environment. 💥 As a Transport Co-ordinator, you will: • Coordinate daily activities for field based teams, • Debrief teams and resolve any operational issues, • Plan and allocate workloads for the following day, • Monitor performance to ensure efficiency and service delivery, • Respond to challenges and adjust plans where needed, • Experience in a coordination, logistics, or scheduling role, • Strong organisational and problem solving skills, • Ability to work in a fast paced, time critical environment, • Confident communication skills, • Good IT skills including Excel, • £35,000 salary, • Clear progression opportunities, • Stable and growing business, • Supportive team environment

Who are we? Europa Worldwide Group is an ambitious and independently owned logistics business. We operate across three divisions - Europa Road, Europa Air & Sea, and Europa Warehouse – and our continued success has earned us a place in The Sunday Times Top Track 250 for three consecutive years. With 15 sales offices across the UK and Ireland, plus a strong and expanding international footprint in Europe, and countries such as, Hong Kong, China, India, and Dubai, we’re investing heavily in our people, our infrastructure, and our future. If you’re looking to be part of a forward-thinking organisation where your contribution genuinely makes an impact, Europa is a place where you can grow and thrive. We are looking for A Network Security Operations Lead to join our team in Dartford. You’ll take ownership of day‑to‑day delivery across our Network Security function, setting priorities, tracking progress, and leading a team of Network Security Engineers to deliver secure, high‑quality outcomes aligned to business needs. What can we offer in return? • Competitive salary, • Hybrid working, this can be flexible, • Convenient Onsite Amenities: Free car parking and an onsite canteen for your convenience., • Generous Time Off: Benefit from 25 days of annual leave., • Enhanced Family Leave: Benefit from enhanced maternity, paternity, and adoption pay., • Benefits portal: where you access a wide range of exclusive discounts, company benefits, wellbeing resources and much more., • Wellbeing Focus: Access our employee wellbeing programme for your overall health and happiness., • Referral Rewards: Generous referral bonus when you refer a friend to work with us!, • Work-Life Balance: Thrive in a fantastic working culture that promotes an excellent work-life balance., • Recognition Programs: Celebrate your contributions with our charity 50-50 and long service awards What you will be doing: • Lead and develop a team of Network Security Engineers, setting clear expectations, accountability, and a high standard of performance., • Drive end‑to‑end delivery of network and network security initiatives, with clear ownership, milestones, and outcomes., • Plan, prioritise, and balance workloads across projects, service improvements, and BAU activity to maximise team effectiveness., • Maintain delivery momentum, proactively managing risks, dependencies, and blockers., • Provide clear governance and reporting, delivering concise, regular updates on progress, risks, and issues., • Act as the primary Network Security contact, aligning stakeholders and managing expectations., • Oversee third‑party providers, ensuring service quality and timely issue resolution., • Provide technical oversight and assurance, ensuring solutions align with business needs and agreed direction., • Ensure adherence to change control, organisational standards, and audit requirements. Our Ideal Person: • Proven people leader with experience managing, coaching, and developing technical teams in a delivery‑focused environment., • Strong project and delivery management skills, with the ability to plan, prioritise, and drive initiatives through to completion., • Technically credible in network and network security concepts, able to challenge, review, and guide technical solutions (without needing to be hands‑on)., • Excellent prioritisation and decision‑making ability, confident balancing competing demands across projects and service improvement., • Clear and confident communicator, able to engage engineers, senior stakeholders, and third‑party partners alike., • Structured and organised, with a strong grasp of governance, reporting, change control, and risk management., • Accountability‑driven, comfortable setting expectations, holding others to account, and maintaining delivery momentum., • Stakeholder‑focused, able to align technical delivery with business priorities and manage expectations effectively., • Calm under pressure, capable of navigating complexity, resolving blockers, and making pragmatic decisions., • Continuous improvement mindset, always looking to improve processes, capability, and ways of working. Europa Worldwide Group do not accept agency CV submissions unless specifically requested/ engaged with the role by the Internal Talent Team. Please do not submit speculative CV’S to our Talent Team, Colleagues, Hiring Managers, or any branches/locations directly. Europa will not be responsible for any fees related to CV’s received in this unsolicited manner. Please note - if you submit your CV, you are giving Europa Worldwide Group Ltd, and its subsidiaries consent to hold your personal data. All applications will be dealt with according to General Data Protection Regulations. Europa Worldwide Group are committed to equality of opportunity for all staff, and applications from individuals are encouraged regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. Please note that an offer of employment is subject to the completion of a satisfactory pre-employment checks.

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With Newto Training’s Cyber Security Career Programme, you’ll gain 4 top certifications (Azure Fundamentals, CompTIA Security+, CompTIA CySA+, Forescout FSCA) plus real-world project work that doubles as hands-on experience. Launch Your Cyber Security Career – Job Guaranteed!. Practical skills

Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

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Learning and Development Trainer to join the People and Development team within the Manufacturing/FMCG sector. The successful candidate will work closely with department managers to deliver mandatory and on-the-job training, ensuring the effectiveness and relevance of training programs. Junior