201 to 225 of 22,460 AI Jobs in England

Finance, Accounting, Analytics, and multiple engineering teams to deliver timely, high-impact insights into business performance. As we look ahead, we're investing in AI-powered capabilities to exponentially scale financial workflows and help non-technical stakeholders translate our diverse data assets into actionable outcomes. What is the role … driving data quality and operational excellence across the full lifecycle of data pipelines and backend services. You will also contribute to the team's AI-powered initiatives, helping to scale financial workflows and unlock actionable insights from diverse data assets. The successful candidate has a proven track record building high ...

Python, and a passion for Machine Learning, to help engineer and deploy innovative ML solutions into production. You will join the Applied AI/ML Software Engineering team, collaborating with technology teams across the firm, contributing to both new and ongoing projects. As a Software Engineer III at JPMorganChase within … skills, with the ability to convey design choices and communicate effectively with stakeholdersFamiliarity with Machine Learning Operations (MLOps)Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine ...

driven transformation, educate stakeholders, and manage high‐performing data capability to support a data culture across Silverstone and its stakeholder groups, including promoting practical AI literacy in tools such as Microsoft Copilot and Claude. Key Responsibilities Data & Platform Engineering Build and evolve a scalable, secure data platform integrating key sources … continuous improvement of self‐service capability. Build a data community of practice to share best practice, success stories, and reusable assets across teams. Promote AI literacy across the business, including practical and responsible use of tools such as Microsoft Copilot and Claude to improve productivity, insight generation, and decision‐making. ...

culture of quality across the department, fostering relationships with each delivery team and continuously evolving testing practices including thorough and thoughtful adoption of AI tooling to enhance, speed, coverage and rigour. Location: Letchworth. All members of the Technology organisation are Remote Workers, working in a hybrid capacity at home … Plan, design, and execute functional, regression, integration, and user acceptance testing across multiple delivery teams within Data Platforms and Analytics (Data Platform, Middleware, Analytics AI and Automation). Develop and maintain test strategies, test plans, test cases, and test data sets aligned to each platforms delivery cadence and risk profile. ...

development of business cases through data‐driven evidence and insight. Collaborate Across Functions Work closely with Performance & Process Analytics leaders, Digital Manufacturing teams, Data & AI teams, and business stakeholders. Translate business requirements into analytical solutions and reporting requirements. Contribute to the continuous improvement of analytics standards, processes, and tools. Share … degree, or equivalent experience, in Data Science, Engineering, Supply Chain, Operations, Computer Science, or a related field. Experience applying analytics, digital solutions, or AI to solve business and operational challenges. Strong problem‐solving skills and ability to translate business needs into practical solutions. Experience improving supply chain, manufacturing, quality, logistics ...

thrive. Your day at NTT DATA We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role … data visualisation, and DevOps principles. Strong understanding of data governance, security, and compliance frameworks (GDPR, CCPA, HIPAA). Exposure to machine learning and AI integration within modern data platforms. Experience, Qualifications, And Education Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4+ years ...

audit specialist within the function, informing risk assessment, audit planning, and continuous monitoring activities. Provide expert insight on evolving risk areas (e.g. cyber resilience, AI/ML, automation, third-party risk, cloud transformation). Support Broader Audit Delivery Embed IT risk considerations within business and operational audits (e.g. underwriting, claims … execution, leveraging large datasets to drive insight and risk identification. Act as a champion for innovation within Internal Audit, particularly in the use of AI and automation to improve audit efficiency, coverage, and quality. Stakeholder Engagement Build effective relationships with IT, security, data, and business stakeholders across the organisation. Provide ...

business by “closing the loop”—ensuring data isn’t just sitting in a dashboard but is actively driving operational tools and decision-making. AI Integration: Leverage AI tools and LLMs to accelerate development cycles, automate documentation, and explore new ways to enhance data quality. Stakeholder Engagement Act as a consultant … performant queries. Python Literacy: Not a software developer, but you must be comfortable reading code, writing scripts for data manipulation, and handling API. AI Comfort: You are an “AI-first” builder who is comfortable using AI tools (e.g., Cursor, GitHub Copilot, LLMs) to write code faster, debug, and stay ahead ...

developers producing bug fixes and new releasesBe self-motivated with the ability to prioritise engineering decisionsContribute to modernising DevOps practices through automation and AI-assisted engineering capabilitiesKey ResponsibilitiesDesign, implement, and lead CI/CD pipelines (GitLab, Jenkins)Automate infrastructure provisioning and configuration management (Ansible, Terraform)Develop and maintain containerised applications … auditsTroubleshoot issues across development, testing, and production environmentsMentor and guide team members to promote continuous improvementDrive POCs and onboarding of new tools, including AI-assisted development and intelligent automationExplore and implement AI-assisted automation to enhance DevOps workflows and developer productivity. Support development of intelligent automation tools/agents ...

science across teams. Lead complex, multi-team technical initiatives and influence organisational direction through technical authority. Evaluate and integrate emerging approaches including generative AI, Agentic AI, advanced optimisation, and scientific computing into scalable solutions. Supply to and shape internal ML platforms, reusable frameworks, and shared scientific computing capabilities. Mentor senior … approach. Desired Deep experience in applied machine learning science including developing novel algorithms and translating research into deployable, production-grade ML products. Experience applying AI/ML to scientific, engineering, or R&D workflows encompassing experimentation, simulation, optimisation, physics-informed modelling, and autonomous scientific workflows. Strong experience with generative AI ...

data processing. Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines. Understanding of data governance, security, and compliance frameworks. Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least … Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help ...

grow, belong and thrive. Your day at NTT DATAWe are seeking an accomplished and highly skilled Snowflake Solution Architect to join our Data & AI practice. The successful candidate will bring deep expertise in designing and implementing Snowflake-based cloud data platforms that are scalable, secure, and business-aligned. This individual … pivotal role in guiding enterprise clients through their data platform modernisation journey, leveraging Snowflake's capabilities to enable data democratisation, advanced analytics, and AI-driven insights. As a trusted advisor, you will collaborate with client partners, business stakeholders, and technology teams to define Snowflake strategies, design robust architectures, and implement ...

cutting-edge Drug Development Data Science & Advanced Analytics (DSAA) team. This is a rare opportunity to operate at the intersection of advanced analytics, AI/ML innovation, and clinical science — driving both strategic direction and hands-on execution across early-to-late phase drug development programs. As a senior scientific … diverse, high-dimensional datasets across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into reusable tools … practices (version control, unit testing, code review, etc.). Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit). Experience applying machine learning and AI, including generative AI, to real‐world problems where it provides clear benefit. Familiarity with statistical concepts and their application in data analysis. Solid communication skills ...

uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on! Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then … benchmark, and report readiness. Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester Wave 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they ...

uniquely positioned to future-proof organizations against any cyber challenge. If that excites you, read on! Immersive is the cyber proving ground for the AI enterprise. Through Immersive One, organizations can test whether people, AI-enabled workflows, cyber security teams, agents, and leaders can perform securely under realistic pressure, then … benchmark, and report readiness. Trusted by 30%+ of the Fortune 100 and ranked #1 in the Forrester WaveTM 2026, Immersive helps organizations prove AI can be adopted safely, teams can develop and defend at AI speed, leaders can lead through crisis, and AI agents can be validated before they ...

Modeling Technology Team, you will help build and enhance portfolio manager‐facing applications across the full stack. You will help drive the integration of AI‐assisted development practices and emerging technologies into investor‐facing workflows and tooling. You will tackle compelling challenges alongside exceptional technology and investment professionals, solving problems … infrastructure, and back‐end Prototype and develop new software components, workflows, and features; enhance and optimize existing systems for performance and maintainability Integrate AI‐driven capabilities into investor‐facing applications to improve workflows and decision‐making Partner with business analysts, QA engineers, and investment professionals to review and qualify business ...

Scikit-learn . Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs or NLP . Experience deploying models into production environments. What's on Offer Competative salary Hybrid working 25 days' annual leave + bank holidays Company … pension scheme Private healthcare Annual performance bonus Professional development and training budget Opportunity to work with modern data and AI technologies Clear progression opportunities within the data team If you're a commercially experienced Data Scientist looking for your next challenge, we'd love to hear from you. ...

models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning, or related field Nice … leave plus bank holidays. Stock option scheme and pension matching. Latest hardware (M-series MacBook Pro, GPU workstation access). About the Team Our AI Research team is a tight‐knit group of 8 researchers and engineers passionate about pushing the boundaries of applied AI. We publish at top venues ...

objectives, excellent project management skills, excellent judgement, a customer‐obsessed and collaborative approach, strong data and metrics bias, an excellent understanding of cloud and ai based solutions with inherent curiosity, the ability to inspire others, create a coalition of the willing and a passion for helping customers transform using cloud … Serverless, Containers, Cloud Operations) and Business Application Technologies (EUC, Supply Chain, CCaaS, Consumer Data Apps, Encrypted/Communication Developer Services). Experience with Data & AI technologies including AI/ML, GenAI, Analytics, Database, and/or Storage. Experience solving problems with technology across regulated and complex industries such as Healthcare ...

company. Job Description: About the RoleWe are looking for a Head of Engineering to own the technical roadmap for our enterprise-scale data and AI infrastructure. You will lead a multi-disciplinary engineering organisation, set data platform and cloud architecture direction, and act as the bridge between hands-on solution … technology transitions. Stay up to date with emerging technologies and industry trends, assessing their potential impact and benefit to the overall business strategy, particularly AI/agentic capabilities and data infrastructure innovations. Candidate ProfileProven experience leading data engineering or data platform teams at a senior/head level, ideally within ...

development of cloud‐based data lakehouse solutions for Planning & Analysis Guide and support data consumers in leveraging data products for analytics and planning Utilize AI‐assisted coding tools to accelerate development and optimize SQL Identify opportunities to embed AI into Planning & Analysis workflows Work with diverse data sets to support ...

Technical Delivery Design and Implement cloud-native data platforms capabilities that support federated use cases across data engineering, BI/reporting, advanced analytics, and AI/ML workloads. Deliver solutions which align to cloud platform engineering standards, patterns, and best practices to ensure consistency, reliability, and cost-efficiency. Ensure delivery … deployments. Databricks: Delta Lake, Unity Catalog, Workflows, Notebooks, Clusters, MLflow. Azure: ADLS Gen2, Azure Data Factory, Event Hubs/Kafka, Key Vault, Functions, Synapse. AI Foundry, Networking, APIM Knowledge, Azure App Service, App Service Plan Deployment and Configuration, Integration with Azure bot Services MS Fabric: Tenant Management, Workspace Private Links ...

governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply yourexpertisein Azure technologies, data storage and data engineering techniques to build, extend andmaintainour … stakeholders. Collaborate with Product Owners, Business Analysts, and Solution Architects to define product vision and technical roadmaps. Drive adoption of modern engineering practices, AI technologies, and automation opportunities across the team. Drive delivery of complex, end-to-end work items, seeking clarification of ambiguous specifications and proactively flagging risk ...