176 to 200 of 4,950 AI Jobs in England

Principal Data Scientist & Machine Learning Researcher Gloucester | London | Manchester Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions. Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data … scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques. We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site). ...

full‐stack shop that brings together product and portfolio leadership, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms. Our focus is on creating a next‐generation data experience for GSK’s scientists, engineers, and decision‐makers, increasing productivity and reducing … support GSK Research and Development. The Director will be responsible for defining and executing the comprehensive product strategy for our entire portfolio of AI‐powered solutions aimed at accelerating drug discovery. You will build, mentor, and lead a high‐performing team of Product Managers, driving the strategic adoption of Generative ...

services delivered each year. They're in the middle of a major data transformation, with significant investment going into Microsoft Fabric, Dynamics 365 and AI/automation, it's a seat at the table to help shape where their data capability goes next. Due to the scale of this transformation … data validation across migration projects Data modelling and KPI reporting requirements Automated data processes and pipeline improvements Stakeholders across technical and business teams Wider AI, automation and continuous improvement initiatives Benefits £60,000 - £75,000 salary, dependent on experience Hybrid working - just 1 day per week in office Exposure ...

provenance, versioning, and trusted sourcing. Integrate artifact repositories into CI/CD pipelines built on GitHub, Jenkins, and Azure DevOps. Embed security controls for AI/ML and GenAI workloads within CI/CD pipelines and developer workflows. Define and enforce secure usage patterns for LLMs and AI services, including … prompt handling, data protection, and model access controls. Implement safeguards against AI‐specific threats, including prompt injection, model poisoning, data leakage, and insecure model outputs. Integrate AI security scanning and validation into build pipelines, ensuring safe model usage and dependency integrity. Collaborate with engineering teams to establish secure‐by‐design ...

Days Onsite) Salary + Benefits – £60,000 to £71,000 + 10% bonus, 33 days holiday, pension, healthCareer Progression + Modern Tech StackPyspark | ML | AI | Databricks | Kafka | AWSAre you a Data Engineer with strong Python, SQL and PySpark skills who is looking for the opportunity to step up and accelerate … ready to take on more responsibility, work on complex technical challenges, and gain exposure to cutting-edge technologies including Databricks, Kafka, Streaming, AI and Machine Learning.The OpportunityYou'll be joining a collaborative team of engineers and data specialists working on large-scale, real-time data platforms. This is a business ...

most recognised and celebrated personal lines insurers. The successful candidate will be working alongside a talented team of Data & AI Engineers, Data Scientists, Analysts, Developers and Architects to design and deliver cutting-edge machine learning and AI-driven solutions. From enabling advanced analytics to supporting product innovation across the business … Responsibilities Designing, building and maintaining scalable data products. Developing and optimising data pipelines, ensuring high-quality, reliable and accessible datasets for analytics and AI use cases. Collaborating with product managers and cross-functional agile squads to deliver data-driven solutions, including GenAI applications. Integrating and transforming data from multiple sources ...

vehicle telemetry into products that change driver's behaviour and cut emissions and cost for the fleets we serve. Delivering on our AI ambition depends on having the data foundations to support it. This is a senior, hands-on engineering role that builds and operates those foundations. … fully observable platform powered by Apache Airflow (WMAA). Define and publish data quality metrics that drive engineering decisions anddemonstrateplatform health to stakeholders Champion AI and modern data tooling —you'llpush the boundaries ofwhat'spossible, with hands-on ML product experiencerequiredand LLMexpertisea serious bonus. Join us on a mission ...

Define and drive SAP Data & Analytics strategies aligned with business and digital transformation goals. Lead large-scale transformation programs involving SAP BDC, Datasphere, SAC, AI, and enterprise cloud data platforms. Act as a trusted advisor to executive and senior business stakeholders. Establish best practices, governance frameworks, architectural standards, and delivery … dashboards, planning, and predictive analytics. SAP BDC Connect and Data Products frameworks. Intelligent Applications and Data Packages. Medallion Architecture patterns leveraging SAP HANA Cloud. AI-enabled analytics and data-driven decision support. Key responsibilities include: Designing analytical, semantic, and business-layer data models aligned with organizational KPIs and reporting requirements. ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...

direct line management of the Finance Process Specialist and any future roles within the finance systems team. The role also carries responsibility for governing AI adoption within Finance and ensuring all technology outputs meet audit and public body requirements. Key Responsibilities The key responsibilities of the role are outlined below … improvement within the team, supporting colleagues of varying technical skills to adopt new tools and translating complex system logic into accessible, well-documented outputs. AI governance and adoption Evaluate and govern AI tool deployment in Finance, identifying where AI can improve efficiency, data quality, or reporting. Ensure AI-assisted outputs ...

standards across the Data Engineering function Mentor and develop engineers, fostering a culture of technical excellence, continuous learning and innovation Support the adoption of AI and ML platform capabilities by building trusted, scalable and governed data foundations Contribute hands-on to the delivery of critical solutions, helping teams solve complex … EventBridge, Step Functions and related services Proven experience building Data Lakehouse platforms, Data Products and ELT/ETL frameworks supporting analytics, ML and AI workloads Expertise in streaming data architectures, event-driven systems and real-time data processing patterns Strong understanding of data modelling, data quality, metadata management, governance ...

Opportunity This is not a typical graduate product role. You will work across a portfolio of full-scale technology products covering dealership operations, logistics, AI communications, vehicle buying, CRM, ecommerce, finance and customer experience: AutoGrid – Dealership management and operations platform RoutePortal – Logistics, driver and route management platform Audiofy – AI-powered … employees and customers. Analyse product usage, customer journeys and conversion data. Improve usability across internal platforms, websites and CRM systems. Identify opportunities to use AI, data and automation. Take responsibility for delivering projects from idea through to launch. The Person We're Looking For The breadth of this role will ...

degree in Computer Science, Software Engineering, or a closely related engineering discipline. Any Eclipse RCP or IDE's nice to have. Comfort & curiosity with AI-assisted development tools & a track record of staying ahead of technology trends. Experience with cloud architecture (AWS, Azure, &/or Google Cloud). Proven experience … migration of mature C/C++ codebases to modern languages, runtimes, & UI/UX frameworks while preserving scientific accuracy & performance. (nice to have) Leverage AI-assisted development - Actively adopt AI-powered tools (eg, Copilot, code-generation, automated testing assistants) to accelerate delivery & improve code quality. Collaborate on architecture - Partner with ...

company is a boutique technology services and consulting firm helping global organisations solve complex business challenges through digital transformation, product development and AI enablement. We are a fast‐growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. … teams, helping them define the right problems, shape solutions, and deliver technology‐driven outcomes that create measurable business value. Our expertise spans software engineering, AI & data, product development, and customer experience, delivered by teams that combine strong technical depth with a consulting mindset. Why Join Us? If you are looking ...

methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions \n Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according … sensitivity and security requirements. \n Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases \n Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements \n Capable of finding a balance between best ...

Agile methodologies and tools eg Azure DevOps, ServiceNow\ NGood communication and problem-solving skills.\ N\n \nAISkills\ NAccenture expects allof its people to utilise AI effectively in their day‐to‐day work. The following capabilities are desirable for all roles:\ N\nUnderstanding of core AI concepts and how they apply … within business and delivery contexts.\ NProficiency in AI‐powered workplace tools (such as Microsoft 365 Copilot) to create, analyse, and refine content, automate repetitive tasks, summarise information, and improve workflow efficiency.\ NAwareness of Responsible AI principles and adherence to enterprise AI governance, standards, and approved usage guidelines.\ NAI Training ...

solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according … sensitivity and security requirements.Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-casesCollaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirementsCapable of finding a balance between best of breed and cost effective solutionsAct ...

solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions\ NUses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according … sensitivity and security requirements.\ NDesigning and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases\ NCollaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements\ NCapable of finding abalance between best of breed and cost effective ...

solving methodologies focused on analyzing complex data and systems, anticipating issues, considering upstream and downstream implications, and advising on mitigation actions Uses enterprise-authorized AI capabilities within the work environment to accelerate analysis of complex infrastructure signals and documentation of mitigation options, validating outputs and handling operational data according … sensitivity and security requirements. Designing and maintaining critical data delivery systems - encompassing both realtime data, historical data and AI/ML use-cases Collaboration with product owners and stakeholders to ensure data solutions align with business and regulatory requirements Capable of finding a balance between best of breed and cost ...

level security, gateway/configuration, and performance. Partner with BI Developers/Analysts to deliver automated, actionable dashboards for leadership and frontline teams. AI for analytics: Introduce and steward responsible AI use to enrich insights and automate MI. Data governance: Implement policies and controls for data quality, develop and maintain … small team (BI Developers/Analysts) to deliver data strategy. Acquisition reviews: identify potential synergies. Roadmap & delivery: Maintain a roadmap covering platform improvements, AI use-cases, new acquisitions integration, and reporting simplification; track benefits and adoption. Key Skills Required: Advanced SQL: stored procedures, views, window functions, temp tables, CTEs, query ...

looking for a talented and experienced Senior Fullstack Developer to play a pivotal role in the development and growth of a brand-new AI recruitment platform as it prepares to enter the market this summer. This is a rare opportunity to take a product from Beta launch to full market … designers, and other stakeholders to translate requirements into technical solutions. Champion agile ways of working, driving continuous improvement and delivery excellence. Integrate and optimize AI tools and APIs to enhance development productivity and platform capabilities. Provide technical mentorship and leadership to development teams, fostering best practices in coding, testing ...

successes. Why Join the KPMG Tax Technology & Innovation team as a Technology Implementation Assistant Manager? Tax is highlighted frequently as an industry where generative AI will have a significant impact on how services are provided. You will be working as a team at the forefront of navigating that change … complex requirements, processes and systems to design analytics solutions. Aiding in managing the design, development and implementation of KPMG and third party data and AI-driven technology solutions for clients, including configuration and testing to ensure functionality and alignment with business objectives. Supporting the delivery of multiple technology projects ...

data-driven applications? Do you enjoy turning complex datasets into robust, reliable systems that deliver real business impact? About the team: The Search and AI Platform supports core products such as Scopus, ScienceDirect, and AI‐driven research solutions. As a Senior Data Engineer, you will help design, build … scale search and analytics use cases. You will work hands‐on while also supporting and guiding other engineers. About the role: The Search and AI Platform is Elsevier's agentic data platform, which powers products such as Scopus, ScienceDirect, and our next-generation LLM-powered research systems. The platform utilises ...

Guaranteed investment in your professional development & certifications A culture that rewards high performance and nurtures talent Exciting client work with real impact on data & AI transformation Hybrid working with flexibility and autonomy Key Experience Deep end-to-end experience delivering enterprise Databricks analytics solutions Expertise in Lakehouse Architecture, Delta Lake … Future of Data? If you're passionate about Databricks, modern data platforms, and want to take a lead role architecting solutions that power AI and analytics for enterprise clients, this is the perfect next step. Apply now or send your CV directly ...

Participate in stakeholder meetings to review progress, gather feedback, and ensure alignment. \n Conduct market research and competitive analysis to identify opportunities for leveraging AI technologies in asset management. \n\n Required Qualifications, Skills, and Capabilities: \n \n Minimum 4+ years of work experience in financial services, preferably within … Strong Plus: Data analysis & manipulation via Python and/or Alteryx, Data Visualization via Tableau \n\n Good to have: Experience with AI technologies, particularly Generative AI and Large Language Models, and their application in financial servic \n ABOUT US J.P. Morgan is a global leader in financial services, providing ...