724 jobs found

Our client, a prominent entity in the Defence & Security sector, is seeking a meticulous Data Scientist with a strong understanding of Linux, Data Science, and AWS to join their team. This is a contract position located in London for a duration of 12 months, requiring a UKIC DV clearance to undertake sensitive and impactful work. Key Responsibilities: Develop and deploy data science solutions to support national security missions. Build and optimise data pipelines for processing large, complex datasets. Apply machine learning and statistical techniques to extract actionable insights. Create clear visualisations to communicate findings to stakeholders. Collaborate in agile teams to deliver robust, scalable solutions. Support cloud-based deployments and integration into operational environments. Job Requirements: Proficiency with scripting languages like Python for data exploration, cleansing, and manipulation. Knowledge of machine learning models and statistical techniques, including validation. Understanding of data analytics and data visualisation techniques. Ability to process large datasets via batch or stream processing using Apache Spark or similar tools. Exposure to techniques used for acquiring and fusing data. Experience with cloud platforms (preferably AWS) or implementing cloud-based data science solutions. Knowledge of, or willingness to learn, DataOps. Experience with structured or unstructured databases. Experience with container technologies, including Docker and Kubernetes. Familiarity with agile ways of working. Understanding of software best practices including version control, CI/CD pipelines for automated testing, and deployment. Proficiency in Linux. BPSS & Current UKIC DV clearance. Additional Details: Location: 5 days per week onsite - London Duration: 12 months If you are a dedicated Data Scientist with the necessary clearances and skills, and are eager to contribute to mission-critical projects in the realm of national security, we want to hear from you. Apply now to take the next step in your career with our client.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. 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 graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. 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 graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. 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 graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? . Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. 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 graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? I Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. 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 graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Trainee Data Analyst - No Experience Needed Build a future-proof career in Data & AI - starting today. Artificial Intelligence runs on data - and businesses are crying out for professionals who can collect, analyse, and interpret it. Looking for a career change? Want something analytical, structured, and financially rewarding? Or maybe you're ready to break into tech but don't know where to start? Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. 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 graduates earn £30,000-£65,000+. Why Data? Every business decision today is backed by data. From finance and healthcare to retail and sport, organisations rely on skilled analysts to interpret information and guide strategy. Demand for Data and AI professionals continues to grow year on year, with excellent progression opportunities: Junior Data Analyst - £30,000 Data Analyst - £50,000 Business Analyst - £60,000 Data Scientist - £65,000+ If you're detail-oriented, analytical, organised, and comfortable communicating insights to others, this could be the perfect career for you. How It Works Step 1 - Data Administration & Core Tools Build essential, job-ready skills with practical training in: Microsoft Excel (to expert level) SQL - Extracting and querying data from databases Python 3 - One of the most widely used languages in data analysis Tableau - Creating dashboards and data visualisations Study time: Approximately 30-60 hours Assessment: Course completion (no formal exam) You'll gain hands-on experience using the same tools employers expect Data Analysts to know. Step 2 - CompTIA Data+ Qualification Earn the internationally recognised CompTIA Data+ certification. This qualification covers: Data mining Data manipulation Data visualisation Reporting and interpretation Study time: 30 hours Assessment: 1-hour professional exam You'll receive tutor support, exam simulators, and a live online revision workshop before sitting your exam. Step 3 - Business Analysis Foundation (BCS Accredited) Data Analysts and Business Analysts work closely together - and many professionals move between both roles. You'll complete the Business Analysis Foundation certification, accredited by the BCS (Chartered Institute of IT). Study time: 15 hours Assessment: Online exam This increases your employability and broadens your career options. Step 4 - Recruitment Support Once qualified, our recruitment team works with you to secure your first entry-level Data Analyst role. You'll receive: Full CV review tailored to your new qualifications Job application support Mock interviews Ongoing career guidance Access to roles suited to your profile Most candidates secure their first role within 1-3 months of qualifying - often sooner in major cities. Ready to Start? If you're analytical, ambitious, and ready to build a career in one of the most in-demand sectors in the UK, we'll help you take that first step. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer your questions and guide you towards your new Data Analyst career.

Full Stack Engineer (Python) - 6-Month Contract (Inside IR35) - London - Office Based We are seeking an experienced Full Stack Engineer with strong Python expertise to join a specialist engineering team delivering data-driven applications for a large-scale enterprise programme. This role is hands-on and delivery-focused, building Python-based web applications and analytics tools used by operational and engineering teams. The successful candidate will be comfortable working across Back End services, Python-driven UIs, and cloud-based platforms, with the ability to collaborate closely with data scientists and stakeholders to turn complex requirements into robust engineering solutions. Key Responsibilities: Design, build, and maintain Python-based web applications using frameworks such as Dash and/or Streamlit. Develop scalable Back End services using modern Python engineering practices. Build and maintain data-driven applications integrating with data platforms and analytics pipelines. Work with cloud and on-premise environments, primarily within Azure-based architectures. Implement and maintain CI/CD pipelines using tools such as GitHub Actions, Jenkins, and containerisation with Docker. Collaborate closely with cross-functional teams including data science, operations, and engineering stakeholders. Participate in code reviews, uphold coding standards, and contribute to improving engineering quality. Support deployment, monitoring, and ongoing optimisation of production applications. What You Will Ideally Bring: Strong hands-on experience as a Python Full Stack Engineer. Proven experience building Dash and/or Streamlit applications in production environments. Solid Back End experience with Python frameworks (FastAPI, Flask, Django or similar). Experience working with data platforms, data lakes, or analytics-focused systems. Good understanding of CI/CD, containerisation (Docker), and version control (GitHub). Cloud experience, ideally Microsoft Azure. Ability to operate effectively in fast-paced, evolving environments. Strong communication skills and the ability to work collaboratively with technical and non-technical stakeholders. Experience with Databricks, Delta Lake, or Kubernetes (desirable). Contract Details: Duration: 6 months (with potential extension) Day Rate: up to £450 (Inside IR35) Location: London - Office Based Start Date: ASAP

Must have active enhanced DV (West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing and emerging technologies, applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex physical system data into actionable improvements through intelligent data modelling and automation. Key Responsibilities Develop and implement custom machine learning models for signal processing, sensor fusion, and system optimisation Design models for applications such as noise suppression, drift compensation, anomaly detection, and adaptive calibration Build and maintain robust data pipelines to process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion techniques Interpret and communicate cutting-edge research in both theory and experiment with internal teams Contribute to the wider scientific community through publications, conferences, or technical collaboration Support and mentor colleagues, contributing to a collaborative research and engineering environment Essential Skills & Experience BSc or MSc in Computer Science, Mathematics, Statistics, Physics, Quantum, or a closely related discipline 2+ years of industry experience developing and deploying machine learning models Strong programming skills in Python for machine learning and scientific computing Experience developing, training, and optimising machine learning models Familiarity with common ML tools and frameworks such as PyTorch, pandas, and scikit-learn Experience working with large datasets and high-performance computing (HPC) environments Strong analytical and problem-solving skills in complex technical environments Ability to communicate effectively with both technical and non-technical stakeholders Comfortable working in collaborative, cross-functional teams within a fast-paced R&D environment Ability to learn complex topics quickly and translate research into practical solutions Desirable Skills & Experience PhD in Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science, or quantum machine learning This is a unique opportunity to apply cutting-edge machine learning techniques within a highly technical environment, working alongside experts developing breakthrough technologies. ARCA Resourcing welcomes applications from engineers passionate about using machine learning to solve complex scientific and engineering problems. Please apply via the link for immediate consideration!

Senior Data Engineer - Sponsorship Offered 65,000 - 72,000 + 20% Bonus + Excellent Benefits London 2-3 days on-site Our client is a leading global hospitality brand undergoing an exciting period of rapid growth and transformation. With significant investment in data and technology, they are building a world-class data platform to power decision-making across every area of the business - from supply chain and logistics to marketing, customer sales and in-store operations. We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into trusted, actionable insights that power critical business decisions. Required Qualifications 6+ years of experience in data engineering 3+ years of hands-on experience with Azure Databricks Strong working knowledge Azure Strong knowledge of data modeling, ETL/ELT design, and data lakehouse concepts. To apply for this role please email across your CV ASAP.

Data Engineer Salary: £40 - 72K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid/On-site depending on client needs Security Clearance: SC Clearance required You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support Real Time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you.

Lead Data Scientist Salary: Up to £75,000 + competitive benefits Location: Leicester. 2 days onsite per week A major UK retailer is hiring a Lead Data Scientist to shape how £160M of digital marketing spend is measured, optimised and scaled. This role sits at the centre of marketing, data and commercial strategy. You will lead a small team and own the analytical frameworks used to measure performance across paid media, CRM and digital channels. You will work on attribution, experimentation, incrementality and customer insight to ensure marketing investment is driving measurable business impact. This is a strong opportunity for an experienced Data Scientist or Senior Data Scientist ready to step into their first Lead role. You will have real ownership, exposure to senior stakeholders and the opportunity to shape how data science supports marketing decisions at scale. The organisation offers excellent opportunities to develop leadership capability and progress within a growing data function. Key responsibilities Lead and develop a small team of data scientists and analysts focused on marketing performance and optimisation. Own the analytical strategy used to evaluate a £160M digital marketing budget across multiple channels including paid media, CRM and onsite marketing. Design and implement robust experimentation frameworks including A B testing and incrementality testing. Build models that measure customer lifetime value, marketing effectiveness and channel performance. Partner with marketing leadership to translate complex analysis into clear commercial recommendations. Improve attribution approaches and develop more advanced measurement frameworks. Work with large scale customer and marketing datasets using Python and SQL. What we are looking for Experience mentoring or guiding data scientists or analysts, or a strong desire to step into a leadership role. Strong Python and SQL skills with experience working on large scale data problems. Experience working in fast paced, data driven organisations where analytics directly informs product, marketing or commercial decisions. Strong problem solving ability and the confidence to work with senior stakeholders. Experience with experimentation, causal thinking or incrementality testing is highly beneficial. Exposure to digital marketing, E-commerce or customer analytics environments would be advantageous but is not essential.

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There'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 Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

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

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

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

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There'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 Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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. Group AI at Sky We're on a mission to make Sky smarter, faster, and more customer-centric by harnessing the power of Generative AI. Sitting at the heart of Sky's innovative Group AI function, the GenAI delivery team blends deep technical expertise with commercial focus to deliver next-gen AI solutions that power everything from customer agent knowledge to conversational AI." You'll work alongside engineers, product, and domain experts to shape the way Sky uses D ata S cience and L arge L anguage M odels to unlock real value across the business." What you'll do " Translate complex business challenges into structured D ata S cience problems , defining hypothes e s, solution approaches and measurable s uccess metrics . Design and develop Generative AI solutions for applications such as knowledge retrieval (RAG), conversational agents, and synthetic content creation. Design and run experiments to test and validate AI/ML approaches, including LLM evaluation frameworks and statistical significance testing. Leverage Sky's rich data assets to implement scalable AI solutions and establish robust evaluation benchmarks. Collaborate across engineering, product, and commercial teams to take AI-driven solutions from ideation through deployment. Partner with stakeholders to ensure robust, compliant , and performant AI solutions. Strengthen our internal data science capabilities by continuously driving experimentation , innovation , and continuous learning . What you'll bring " Advanced degree (MSc or PhD) with specialization in Statistics, Data Science, Machine Learning, Physics, Mathematics, Operations Research, Engineering or another quantitative field, or equivalent industry experience. Hands-on e xperience developing solutions with Large Language Models in enterprise environments . Experience designing evaluation fram e works for generative systems ( e.g., LLM-as-a-judge , task - specific metrics ) . Expertise in applied ML, with hands-on experience building models using Python and relevant libraries and frameworks (e.g., scikit-learn, XGBoost , PyTorch ). Experience with vector databases , data querying languages and retrieval methods. A commercial mindset, you understand how data science drives value, not just insight Strong communication skill s ; able to frame complex problems in business terms. The rewards There's one thing people can't stop talking about when it comes to : the perks. Here's a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There'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 Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. 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.