395 jobs found

Job Title: Lead Data Engineer Location: London (Hybrid) Contract: 6 Months (Potential Extension) Start Date: ASAP About the Client Our client is transforming their industry by replacing cigarettes with innovative, smoke-free alternatives. They are leveraging technology, data, and AI to drive a global shift toward a smoke-free world. This is a fast-paced, high-impact environment, perfect for candidates who are strategic, independent, and excited to work at the forefront of data and AI innovation The Role We are looking for a skilled Data Engineer to design, build, and optimize enterprise-scale data pipelines and cloud platforms. You will translate business and AI/ML requirements into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will: Build and orchestrate data pipelines across Snowflake and AWS environments. Apply data modeling, warehousing, and architecture principles (Kimball/Inmon). Develop pipeline programming using Python, Spark, and SQL; integrate APIs for seamless workflows. Support Machine Learning and AI initiatives, including NLP, Computer Vision, Time Series, and LLMs. Implement MLOps, CI/CD pipelines, data testing, and quality frameworks. Act as an AI super-user, applying prompt engineering and creating AI artifacts. Work independently while providing clear justification for technical decisions. Key Skills & Experience Strong experience in data pipeline development and orchestration. Proficient with cloud platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience with CI/CD, data testing frameworks, and versioning strategies. Ability to work effectively in multi-team, vendor-integrated environments. Why This Role Join a global, transformative initiative shaping a smoke-free future. Work with cutting-edge cloud, AI, and data technologies. Opportunity to influence technical and strategic decisions across enterprise data delivery. Dynamic, innovative environment where your work has real business impact.

Job title: Data Architect Location: London (Hybrid) Contract: 6 Months (Potential for Extension) Start Date: ASAP About the Client Our client is transforming the future of their industry by replacing cigarettes with innovative, smoke-free alternatives. They are using technology, science, and data to accelerate a global shift toward a smoke-free world. It's a fast-paced, forward-thinking environment - ideal for someone who is strategic, curious, and ready to drive large-scale change. The Role We're seeking an experienced Data Architect to lead the design and implementation of enterprise data architecture that supports analytics, AI, and business transformation. You'll act as the bridge between suppliers, technology partners, and internal delivery teams, translating business needs into scalable, data-driven solutions. You'll engage at a senior operational level, work independently, and collaborate across multiple teams - providing clear architectural direction and justified decisions that shape the company's data future. Key Responsibilities Define and implement enterprise data architecture standards, frameworks, and best practices. Develop conceptual and logical data models to support analytics, data warehousing, and integration. Translate business requirements into robust data designs that align with enterprise strategy. Bridge communication between external suppliers and internal teams, ensuring consistent delivery. Lead data architecture initiatives for AI integration, governance, and scalability. Engage with senior stakeholders to influence data strategy and operational priorities. Work autonomously with minimal guidance while maintaining transparency and collaboration. Justify architectural decisions with strong reasoning and business alignment. Core Skills & Experience Proven experience as a Data Architect in a large-scale or enterprise environment. Expertise in data modeling (relational, conceptual, and logical) and data warehousing (Kimball/Inmon). Strong SQL skills and familiarity with Snowflake. Hands-on experience with SAP PowerDesigner or similar modeling tools. Working knowledge of TOGAF, LeanIX, or enterprise architecture frameworks. Understanding of Master Data Management (MDM), data catalogs (e.g., Atlan), and data quality frameworks. Experience in ETL pipeline development (Matillion preferred) and Agile/Scrum environments. Knowledge of CI/CD pipelines, versioning (Bitbucket), and automated testing tools. Awareness of AI and Machine Learning integration concepts, including prompt engineering. Who You Are A strategic thinker who connects technical architecture with business value. Confident operating at senior stakeholder level and influencing key decisions. Collaborative, articulate, and able to lead discussions across diverse teams. Self-driven and capable of delivering results independently. Excited about leveraging data and AI to transform how organizations work. What's in It for You Opportunity to shape data strategy for a global transformation program. Work on cutting-edge technologies across data, AI, and analytics. Hybrid working model in a dynamic, fast-paced environment. Chance to make a real impact on a business reinventing its future.

BI Engineer Up to 55,000 Financial Services Company Norwich, UK Hybrid Working Role We are recruiting for a BI Engineer on behalf of a leading financial services company in Norwich. This is an exciting opportunity for a skilled reporting engineer to enhance their career with a modern business who have big plans for 2026. Power BI, Power Platform, Azure Data Lake and Data Services experience are all essential qualities to apply for this role. In this role you will be responsible for designing an building BI reports, data sets and models for multiple customers. You will work closely with the software engineering team to integrate product architecture and drive the introduction of AI driven policy. Key Skills Requirements Include: Strong experience with Power BI Key understanding of data sourcing inc. Data Lake, Power Platform and SQL Familiarity with Data Factory Understanding of CI/CD for Power BI Keen interest in the future use of AI and machine learning Key communication skills In exchange for your commitment and hard work you can expect a generous salary and opportunities to enhance your career in the future. If this role could be of interest or if you wish to find out more about others like it then please contact Ollie at Atkinson Moss today. This vacancy is located in Norwich and offers hybrid working. Applicants would ideally live nearby or be prepared to commute on a weekly basis.

Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Site Automation Engineer Warrington Circa £59,000 + Bonus Rotating Shift (3 Week Pattern followed by 7 off) Due to significant investment and automation activities on a large world class manufacturing site, we have a recruitment drive for PLC biased Electrical Controls Engineers. Newly created roles! Reporting to the Site Controls & Automation Manager, you will be responsible for automation, controls and electrical systems of the production plant. Key Responsibilities Site Automation Engineer Responsible for the development, implementation, documentation, test and maintenance of software, for: Inverter drives Programmable safety systems PLCs Servo drives SCADA system Operator interface (HMI) screens Train and provide advice to Engineers and Operators as required PLC alterations & improvements New installations, including programming of software Ensuring machines and equipment are safe, working efficiently and fit for purpose You ll collaborate across teams and contribute to key improvement projects, while gaining experience with a variety of control systems Diagnose and troubleshoot complex machine faults to reduce downtime Develop automation skills and techniques through OEM training Coach and mentor Maintenance Engineers on control systems Proactive in detecting, reporting, diagnosing and predicting potential or existing software and electronic issues on all equipment You ll be involved in fault-finding, diagnostics, and implementing permanent solutions to ensure safety, quality, and efficiency Requirements & Qualifications Site Automation Engineer Must possess an electrical engineering qualification (HNC/HND Level) A working knowledge of PLC systems and HMI software Experience maintaining electrical/control systems on complex process and/or high-speed production equipment Experience troubleshooting, testing, and repairing instrumentation devices Experience in PLC touch screen controls and electrical maintenance Problem solving and root cause analysis experience PLC programming skills Time served Electrical Engineer Automation / Controls apprentice with several years post qualification work experience within a manufacturing environment HNC in Electrical Engineering or equivalent Ability to fault find and implement program modifications on a range of PLCs & SCADA Knowledge of servo drives and inverters Experience of fault-finding on industrial communication networks Experience of designing & modifying control circuits and program logic What we can offer Site Automation Engineer Best-in-class learning and development support from day one Yearly Bonus Matched Pension up to 12% An industry competitive salary and benefits package, including company bonus. 25 days holiday + bank holidays with the option to buy additional plus 7 days off every 4 weeks on working pattern Share save scheme and exceptional reward events For more information on this role, please contact Andrew Haddon on (phone number removed) or send a copy of your CV to (url removed) For details of other opportunities available within your chosen field please visit our website (url removed) Role would suit someone with a background as: an electrical maintenance engineer, PLC engineer, Automation Engineer or Electrical Engineer in a manufacturing environment Omega is an employment agency specialising in opportunities at all levels within the Engineering, Manufacturing, Aerospace, Automotive, Electronics, Defence, Scientific, Energy & Renewables and Tech sectors.

Join Us in Shaping the Future of AI at Barclays. We're launching an exciting new initiative at Barclays to design, build, and scale next-generation platform components that empower developers - including Quants and Strats - to create high-performance, AI-driven applications. As an AI/MLOps Platform Engineer, you'll play a pivotal role in this transformation, working hands-on to develop the infrastructure and tooling that supports the full lifecycle of machine learning and generative AI workloads. This is more than an engineering role-it's an opportunity to influence technical direction, collaborate across diverse teams, and help define how AI and GenAI are delivered at scale. To be successful as an AI/MLOps Platform Engineer at this level, you should have experience with: Proficiency in Python engineering skills, especially in backend systems and infrastructure. Deep AWS expertise, including services like SageMaker, Lambda, ECS, Step Functions, S3, IAM, KMS, CloudFormation, and Bedrock. Proven experience building and scaling MLOps platforms and supporting GenAI workloads in production. Strong understanding of secure software development, cloud cost optimization, and platform observability. Ability to communicate complex technical concepts clearly to both technical and non-technical audiences. Demonstrated leadership in setting technical direction while remaining hands-on. Some other highly valued skills may include: Experience with MLOps platforms such as Databricks or SageMaker, and familiarity with hybrid cloud strategies (Azure, on-prem Kubernetes). Strong understanding of AI infrastructure for scalable model serving, distributed training, and GPU orchestration. Expertise in Large Language Models (LLMs) and Small Language Models (SLMs), including fine-tuning and deployment for enterprise use cases. Hands-on experience with Hugging Face libraries and tools for model training, evaluation, and deployment. Knowledge of agentic frameworks (e.g., LangChain, AutoGen) and Model Context Protocol (MCP) for building autonomous AI workflows and interoperability. Awareness of emerging trends in GenAI platforms, open-source MLOps, and cloud-native AI solutions You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role can be based out of our Glasgow or Canary Wharf office. Purpose of the role To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues. Accountabilities Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance. Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives. Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing. Stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities to foster a culture of technical excellence and growth. Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions. Implementation of effective unit testing practices to ensure proper code design, readability, and reliability. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset - to Empower, Challenge and Drive - the operating manual for how we behave.

Join a fast-growing technology and engineering organisation that is on a mission to become the best engineering consultancy in the UK. We are looking for a Data Engineer who is passionate about technology, eager to develop their coding skills, and ready to make a significant impact in a collaborative and innovative environment. Due to the security cleared nature of this role, we can not accept applicants who don't possess indefinite leave to remain or are a UK resident. If you require sponsorship, then your application will not be considered. Data Engineer Annual Salary: 40,000 - 55,000 Location: UK (Flexible Hybrid Working) Job Type: Permanent Day-to-day of the role: Work on diverse client projects including building modern data platforms and services using DevOps practices. Engage in large, distributed workloads, batch and streaming data pipelines, and high-quality monitoring. Collaborate with architects, technology consultants, and client stakeholders to help customers leverage their data effectively. Gain exposure to different industries and networks while working with the latest technologies. Spend time on internal projects, training, and development to expand expertise and contribute to business-critical client projects. Required Skills & Qualifications: Demonstrable experience in building data pipelines using Spark or Pandas. Experience with major cloud providers (AWS, Azure, or Google). Familiarity with big data platforms (EMR, Databricks, or DataProc). Knowledge of data platforms such as Data Lakes, Data Warehouses, or Data Meshes. Drive for self-improvement and eagerness to learn new programming languages. Ability to solve problems pragmatically and support and operate production systems. Desirable Skills: Experience in building automated data quality checks and metrics. Experience in creating or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI, etc.). Experience in productionising machine learning algorithms. Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.). Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik, etc.). Benefits: Competitive salary and comprehensive benefits plan. Flexible hybrid working model (3 days per week onsite). Opportunities for personal and professional growth in an entrepreneurial environment. Supportive transition back into your career for those returning from a career break. To apply for this Data Engineer position, please submit your CV and cover letter detailing your relevant experience and why you are interested in joining our team.

Product Data Analyst Salary: 65,000 - 75,000 Location: Fully Remote We are currently looking for an Product Data Analyst to join a fast-growing , innovative , and data-driven tech team within a global cybersecurity education company. You'll play a pivotal role in shaping data strategy and delivering insights that drive smarter decisions across the business. As an Product Data Analyst, you'll own the full data journey, from managing pipelines and creating models to developing visualisations that help teams understand user behaviour and business performance. This is a high-impact role, giving you the chance to transform complex data into meaningful stories that influence strategy and product direction. The Opportunity As part of a rapidly scaling technology company, you'll work with modern data tools to deliver real-time insights and automation. This Product Data Analyst role stands out because you'll have genuine ownership of analytics and visibility across the organisation, not just building dashboards, but defining how data drives growth. Key Responsibilities: Design, build, and maintain data models and pipelines. Create engaging dashboards and visualisations to present findings to non-technical audiences. Collaborate with stakeholders to translate business needs into data-driven outcomes. Use analytics to uncover trends, opportunities, and risks that shape company strategy. Champion data best practices and innovation within the wider team. What's in it for you? Competitive salary (based on geography and experience). Fully remote working - work from anywhere in the world. 2,500 personal development budget for certifications, training, and learning. Health insurance (where applicable). Skills and Experience Must Have: 2+ years' experience as a Data Analyst, Data Engineer, or Analytics Engineer. dbt Advanced SQL skills and experience with data visualisation tools (Tableau preferred). Knowledge of data modelling, warehousing, and analytics best practices. Strong communication skills with the ability to explain technical findings clearly. Nice to Have: Exposure to event-based analytics and user behaviour tracking. Understanding of machine learning models and techniques. Experience in a start-up or fast-scaling tech environment. If you'd like to be considered for this exciting Product Data Analyst opportunity and think you'd be a great fit, please click the Apply button below to submit your CV. We look forward to hearing from you!

Microsoft AI Engineer/Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer/Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer/Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer/Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary £60,000- £90,000 Dependent on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming experience (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals/Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a CV- good luck To find out more about Huxley, please visit our website Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC387148 England and Wales

Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy JBRP1_UKTJ

Microsoft AI Engineer / Azure Artificial Intelligence Engineer This is a new and exclusive opportunity for a AI Engineer / Azure Artificial Intelligence Engineer to join a thriving STEM business as they are growing their AI Engineer / Azure Artificial Intelligence centre of excellence Role details Title: AI Engineer / Azure Artificial Intelligence Engineer Location: can be either London or Glasow, and expectation is 1 or 2 days a week in the office with home working hybrid flexibility Permanent roles only, salary 60,000- 90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity to join a business who are genuinley growing this team to be a future centre of excellence for the country. They are also a very supportive home working flexible working environment As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be a key part of your role. This is an opportunity to join a high functioning relaxed team that will significantly contribute to the digital transformation this STEM business Role requirements Strong Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure DevOps. Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate For more information, and the chance to be considered, please do send through a cv- good luck To find out more about Huxley, please visit (url removed) Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: 35,000 - 55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and front-end frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both backend and front end could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and front end. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.

Contract | 6-12 months+ | Outside IR35 Programme Start: Q1 2026 A major UK financial services organisation has secured funding for a multi-year AI transformation and modernisation programme starting in Q1 2026. We're looking for a hands-on ML Engineer to build and productionise models that support governance, risk, analytics and operational decision-making. What you'll be doing Build and deploy ML models into production-grade cloud environments Work with data engineers and the AI Hub teams to deliver use cases end-to-end Support monitoring, retraining and continuous improvement of models Collaborate on responsible AI practices (explainability, fairness, audit trails) Influence ML design and engineering best practice within the programme What you'll need Strong Python and ML frameworks (PyTorch/TensorFlow/scikit-learn) Experience deploying models into Azure environments Familiarity with CI/CD, MLflow, model governance Stakeholder communication skills in regulated settings FS/pensions experience strongly preferred If you're an experienced ML engineer feel free to apply or send your C.V to (see below)

Application Software Engineer (Mid level - Senior), Degree, UI/UX, JavaScript Location: Cambridge, UK (Hybrid) Salary: £35,000 - £55,000 (depending on experience) The Company Join a pioneering AI and machine learning software house, led by award-winning entrepreneurs and known for pushing the boundaries of innovation. You'll be part of a collaborative, high-calibre team working on impactful, real-world projects, leveraging cutting-edge technologies including modern JavaScript libraries and Front End frameworks. What We're Looking For Education & Skills - A 2:1 or higher in Computer Science, Engineering, Physics, or a related field from a top university. - AAB or higher at A-levels. - Strong mathematical and analytical thinking skills. - Excellent communication and teamwork abilities, happy to be in a team and share ideas. Technical Skills - Exceptional with one or more of the following: Programming: Node.js, Python, Java, JavaScript (React, Angular, Vue.js), JavaScript libraries (React, Angular, Vue.js) - Databases: PostgreSQL, Elasticsearch, Redis - A proactive, problem-solving mindset and eagerness to learn. - Some UI or UX design work - Ideally a competent programmer in Java or Python to a high level - Someone that has been involved both Back End and Front End could do very well here. Experience - The sweet spot for the Application Software Engineer position is someone with three to five years industry experience in a cutting edge tech company. - Passion for software engineering and a desire to build scalable, high-quality applications. The Role As an Application Software Engineer, you'll: - Contribute to the design, development, and implementation of software applications. - Collaborate with a diverse and talented team of engineers. - Learn from an experience team whilst sharing your own ideas. - Designing smart web based applications, chance to work end back and Front End. Why Join Us? - Work with a globally respected AI software company. - Competitive salary and benefits. - Hybrid working model with a collaborative office culture in Cambridge. - Learn from top experts in AI and machine learning. - Clear progression path and opportunities to grow your career. Application Process - Submit a CV that highlights your academic achievements and relevant experience. - Initial discussions will take place before your application is submitted to the employer. Ready to take the next step in your software engineering career? Apply now! Adecco is acting as an Employment Agency. We are an equal opportunities employer.

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. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) 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. 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 Lead 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: Lead the 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. Advanced 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) caf s 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 Lead 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: Lead the 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. Advanced 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. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience . Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems . Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches. Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring: Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential) Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential) Database experience, preferably SQL (essential) Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) 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. 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.