1,201 to 1,225 of 20,839 AI Jobs in England

dashboards, analytics and data services turning complex data into products that improve customer outcomes and create commercial value. You'll also help identify where AI and machine learning could enhance customer experiences, automate workflows and unlock new insights. If you're a hands-on Product Manager who combines customer curiosity … investment based on customer value and commercial return. Work with customers to understand their reporting, integration and decision-support requirements. Identify opportunities to apply AI and machine learning to real customer challenges, ensuring new capabilities deliver measurable value. Collaborate with Product Owners, Engineering, UX and Data teams to translate strategy ...

Define data requirements, frameworks, and regional strategy to scale media measurement efforts. Set and achieve ambitious measurement goals aligned with global marketing objectives. Drive AI transformation to enhance productivity, creativity, and innovation, while upholding Google's AI Principles. Oversee the analysis and interpretation of high-dimensional datasets to deliver actionable ...

NASDAQ: EXLS) is a global data and AI company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. Bringing together domain expertise with robust data, powerful analytics, cloud and AI to create agile, scalable solutions and execute complex operations … Understanding of modern data architecture philosophies (Dimensional, ODS, Data Vault) and real‐time cloud data capabilities. As part of a leading global analytics and AI solutions company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI-assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … development, or data systems Exposure to CI/CD or infrastructure automation tools Interest in technically demanding application domains such as scientific computing, applied AI/ML, real-time systems, large-scale data processing, or similar Energy industry experience is not required but is a strong plus. We welcome candidates ...

into structured analytical and data science problems, ensuring your team delivers clear, commercially meaningful recommendations. Drive adoption of scalable analytical frameworks, experimentation standards, and AI-enabled tooling to improve efficiency, consistency, and speed of decision-making across teams. Champion best practices in experimentation, causal inference, segmentation, and customer understanding, ensuring … Machine Learning before moving into leadership roles. Experience building and scaling experimentation platforms, measurement frameworks, self-service capabilities, or data products. Experience applying AI, Large Language Models (LLMs), Agentic AI, or automation technologies to improve analytics productivity and decision-making effectiveness. Experience leading organisational change, improving analytical maturity, and raising ...

outcomes, and enables teams by building reusable capabilities rather than relying solely on governance or oversight.* Success measure (Innovation): successful delivery and adoption of AI-powered engineering capabilities, automation frameworks, and modern engineering practices that create measurable business value.**Knowledge, Skills and Behaviours**Essential* Key technology areas: Snowflake … Python, Git/CI/CD, Semantic Layers, Data Contracts, Data Quality and Observability, Snowflake Cortex, LLMs and AI Agents, AWS.* Strong hands-on Analytics Engineering/Data Engineering experience with deep expertise in data modelling, Snowflake, dbt and SQL.* Proven experience building automation, reusable engineering frameworks and scalable analytical ...

Science, Software Engineering, or a related discipline. Agile Scrum certification. Experience working successfully with globally distributed development teams. Strong awareness and practical understanding of AI technologies and modern AI-assisted development tools. Knowledge of cloud-native architectures, microservices, and modern cloud platforms. What Success Looks LikeDelivering high-quality software solutions ...

world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI Team. In this team, we build custom algorithms that use novel approaches to solve our business needs. This isn’t a prompt engineering or LLM role … social impact. Our world-leading algorithmic products are at the core of our business, so as a part of the Data Science and AI Team, you will have a high level of exposure to the wider business. This role is based in our London office at Liverpool Street (hybrid ...

expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading the architecture … vision, design & implementation of Enterprise scale data applications, with specific focus on Distributed Data Processing systems, Data LakeHouse, Data Products, Streaming data, ML & AI platform capabilities* Working knowledge of ML and Generative AI, including the leverage of Agentic AI based systems within the Architecture and Software Development lifecycle* Excellent communication ...

mission hasn't changed — we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries … keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI ...

India remote ROLE OVERVIEW: Morgan IT is transforming towards a cloud-first, automation-driven operating model built on Microsoft Azure, platform engineering principles and AI-enabled operations. The Azure Specialist is responsible for delivering, operating and continuously improving Azure platform services through modern engineering practices. The role focuses on Infrastructure … Code (IaC), automation, cloud operations, AI-enabled service improvements and platform reliability. Working closely with the Cloud Solution Architect, the Azure Specialist translates technical designs into operationally supported services while driving standardisation, automation and innovation across the cloud platform estate. The role combines hands-on engineering expertise with a passion ...

opportunity to develop and progress rapidly. Role Overview As a Data Engineer, you will design, build, and maintain scalable data solutions that enable analytics, AI, and operational insights. Youll work alongside client and internal teams to create robust data pipelines, ensure data reliability, and support cloud-based architectures that power … Terraform, CloudFormation) to manage cloud environments. Work with container technologies such as Docker and Kubernetes-based workloads. Collaboration Work closely with analytics, ML/AI, and product teams to deliver clean, well-structured datasets. Participate in code reviews and internal knowledge-sharing sessions. Provide guidance to junior engineers where needed. ...

BFSI, leading complex enterprise transformations. Platform Expertise: Deep technical proficiency in modern data platforms (Databricks, Snowflake) and toolsets (dbt, Airflow, Kafka). Advanced Architecture & AI: Mastery of Lakehouse, Data Mesh, Streaming, MLOps, and GenAI integration to drive continuous innovation. Governance & Compliance: Expertise in zero-trust security, lineage, privacy (GDPR, CCPA … Advisory: Strong C-suite presence (CDO, CIO, CTO) aligning technical architecture with high-level business strategy. Value Realization: Proven ability to convert technical and AI capabilities into measurable business ROI and strategic impact. Education: Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field. Job Responsibilities Architect ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation, and ranking … systems that power how travelers discover and book experiences; rigorous experimentation; and the responsible application of generative AI — all built on our rich first-party data. You will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long ...

planning Reservoir engineering and modeling Production engineering and optimization E&P data management and integration Cloud and platform infrastructure, data services, and developer tooling AI‐assisted analytics, search, and generative AI Technologies used vary by team and include: Languages such as Java, C#, F#, C++, Python, and TypeScript Frameworks, platforms … development, or data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real‐time systems, large‐scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates ...

position is ideal for an engineer who is driven by client satisfaction and has a strong commitment to continuous learning and improvement. We use AI agents to speed up development safely and at same time help clients achieve the same. ResponsibilitiesDesign, build, deploy, and maintain quality code that is simple … well-structured, clear, and well-tested. Use AI agents to speed up development and advise others how to use them safely, both clients and internally. Break down and solve complex problems efficiently, utilizing research and collaboration as needed. Communicate effectively across various mediums, with different audiences, and at appropriate times. ...

utilizes various tools to manage daily position information, trade confirmations, and daily mark‐to‐market valuation of derivative positions and cash management. They leverage AI models, agentic workflows, and automation tooling, developed in partnership with Financial Engineering, to streamline daily workflows and cash forecast models, triage exceptions, and support collateral … solutions that translate investment strategy into operational reality. The department manages this capability entirely in-house, supported by internally built quantitative models, AI-powered liquidity tools, and automated workflows that operate at the forefront of the industry. The department is organised into three branches: Investment Services and Settlements; Markets ...

rare opportunity to build your product management foundations on a high-visibility portfolio that sits at the heart of the company’s data and AI strategy. Key accountabilities 1. Understand the business and the client Understand who are our clients and why they consume our solutions; understand our business model … contracts, systems integration, data pipelines and platform requirements representing client needs and business objectives. Design requirements for data products that people, systems and AI Agents can find, trust and reuse without rework. 4. Product Execution Independently lead sessions with stakeholders and line manager to gather, analyse, and document business ...

team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data … Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets* Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights.* Monitor and optimize data pipelines ...

role working centrally across the business. You'll partner with teams spanning Commercial, Marketing, Product, Finance, Engineering and Operations — developing and deploying ML and AI solutions that drive outcomes across both sides of our marketplace. The problems you'll work on are genuinely varied: pricing models, propensity and demand signals … deliver them end-to-end, from first principles through to being deployment-ready and beyond. WHAT YOU'LL BE DOING End-to-End ML & AI Delivery: Lead data science initiatives from problem framing through to deployment, monitoring, and iteration — delivering the full production lifecycle. With no dedicated ML engineering function ...

engineering standards, architectural principles and modern development practices Support the adoption of CI/CD, automated testing and DevOps practices Identify opportunities to incorporate AI and advanced analytics capabilities into the product Coordinate technical work across internal teams and external partners to ensure quality and consistency Drive continuous improvement … data-driven or analytics platforms Experience working with telemetry-heavy or connected-device systems Experience coordinating development across distributed or external teams Experience applying AI or advanced analytics within software products What we can offer you At EA Technology, we believe in growing with our people. In addition ...

events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies … undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across ...

rigor. You're humble and collaborative; turn zero‐to‐one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high‐visibility problems with exceptional teammates and grow your career as we build … agile startup backed by our global network, we partner directly with our CEO and Co-Founder to architect, build, and ship next-generation Fintech AI Innovations and 0-to-1 product lines. We don't build in isolation, nor do we over-engineer for theoretical problems. Our mandate is high ...

immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who We Look For Goldman Sachs is seeking an Applied AI Researcher to join our dynamic Applied Artificial Intelligence (AI) Research team. As an integral part of the team, you will play a pivotal role in driving … machine learning systems within the financial domain. Join us in redefining the boundaries of what’s possible in the intersection of quantitative research and artificial intelligence! Your responsibilities will include: Collaborating effectively with colleagues to advance production machine‐learning systems and applications. Conceptualizing, experimenting with, and assessing AI/ ...

escalating where appropriate. Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. Partner with … provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. • Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. • Strong understanding of engineering best practice, including code quality, testing ...