1,151 to 1,175 of 20,825 AI Jobs in England

roadmaps fit together as one system. You will lead through clarity and credibility rather than reporting lines, and you will help shape new AI-enabled patient and healthcare professional (HCP) experiences that can be built safely, approved and proven in production, not just shown in a prototype. ROLE RESPONSIBILITIES Technical … Data Traceability: Own the technical strategy for tracing content, experience and performance data from asset, through publication, to the results it produced. AI-Enabled Patient and HCP Experiences: Partner with client experience leaders to turn business ambitions into buildable technical approaches, including making services callable by AI assistants and agents ...

inventive Data Scientist with a strong machine learning and analytics background to help build industry-leading language technology powering Alexa for Shopping, our AI-driven search and shopping assistant, helping customers with their shopping tasks at every step of their shopping journey. This innovative role focuses on developing conversation-based … systems. Key job responsibilitiesKey job responsibilities As a Data Scientist on our team, you will be responsible for the analysis, modeling, and optimization of AI technologies that will shape the future of shopping experiences. You will play a critical role in measuring and improving multimodal conversational systems, in particular those ...

execution for changes impacting pricing, booking, and risk, including test strategy, defect triage, evidence collection, and sign-offsDrive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patternsApply knowledge … Software Development Life Cycle toolchain, including AI-assisted development and automation capabilities, to maximize automation valueMaintain strong release discipline, including regression assessment, rollback/fallback planning, post-deployment verification, and observability improvementsGather and synthesize data and telemetry to develop reporting and metrics that improve stability, quality, and delivery predictabilityIdentify hidden ...

Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel. Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power … most important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working ...

. Familiarity with AKS, Docker, or containerized ML environments. Understanding of data governance and security in cloud environments. Experience with AI Foundry, Gen‐AI, Fabric. Soft Skills Strong verbal and written communication. Good documentation and presentation skills. Ability to handle pressure and prioritize effectively in live support environments. Work Hours … during critical deployments or outages. Benefits Be part of a high‐impact team managing enterprise‐scale Azure solutions. Work on the intersection of data, AI, DevOps, and automation. Opportunities to grow across data engineering, MLOps, and cloud automation. A dynamic, learning‐focused work environment with cutting‐edge tools and processes. ...

Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. The Impact You Will Have Guide strategic customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design … Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) - understanding the landscape you'll position against Background in a data/AI company or cloud provider About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block ...

teams. You will build and scale a high-performing engineering organisation, oversee architecture and engineering standards, manage vendor relationships, and drive day-to-day AI automation. This position requires a strong blend of strategic foresight, people leadership, and a deep understanding of advanced engineering practices to deliver a world-class … SailGP App/Headsets, Fan Simulator and SailGP Insights. Production Ownership: Oversee the maintenance and evolution of production software, implementing best-practice with an AI first software engineering approach (agile methodologies, unit testing, refactoring, rigorous code reviews, and CI/CD pipelines). Performance & SEO: Direct technical strategies for concurrency ...

Azure, or GCP). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers' data and AI strategy. The Impact You Will HaveGuide strategic customers through the full lifecycle of Databricks on their cloud platform, including platform administration from initial architectural design … Architect)Experience with competitive platforms (Snowflake, cloud-native data services, Azure Synapse, BigQuery) — understanding the landscape you'll position againstBackground in a data/AI company or cloud providerAbout DatabricksDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian ...

Europe, now is the perfect time to join us on this high-speed journey. Introducing the Trainline Machine Learning and AI Team Machine learning sits at the heart of Trainline's mission to help millions of people make sustainable travel choices every day. Our models power some of the most … important parts of the platform, from search and recommendations across mobile and web, to pricing and routing optimisation, personalised experiences enhanced by generative AI, data-driven marketing, and AI agents that support our customers. Our machine learning teams own the complete delivery lifecycle from ideation through to production, working closely ...

Company Overview Trianz is an applied AI solutions company that accelerates customer business transformation through AI powered "Transformation Services as a Software Model". With 25+ years of transforming enterprises, we've evolved to a product-led, platform-driven organization serving global enterprises across Financial Services, Insurance, Healthcare, Hi-Tech … continents, our platform portfolio under the unified Concierto brand delivers end-to-end transformations including solutions for Migrate, Manage, Maximize, Modernize, Insights & Agentic AI, and SecOps - delivered through strategic partnerships with leading hyperscalers. We're building the premier innovation-led organization in the digital transformation space through AI-first methodologies ...

develop and fulfil your potential with meaningful careers. About the Role We are seeking a highly skilled and hands‐on Senior Java Engineer with AI proficiency to help build the next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell’s global family … data processing, and deep collaboration across global teams. This is a deeply technical role focused on designing, building, integrating, and operationalising modern software and AI driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence ...

placements and complete a project for each, giving you the chance to apply your learnings to real business problems. We make extensive use of AI‐tools (both generic foundation models and skills developed locally) in all our work including knowledge discovery, code development, and task automation. Training in relevant AI … Zopa & Technical Skills – get to know Zopa, our products and how we use data, while deepening your technical skills (including SQL and Python) AI Applications – Learn how analysis using large language models and associated transformer‐based architectures is applied to real business problems Data Science – Develop your data science skills ...

also have: Experience with Databricks, PySpark, Azure or similar cloud-based data environments Experience within operational, retail, logistics or customer-focused businesses Exposure to AI solutions or emerging machine learning technologies Most importantly, you'll be naturally curious, tenacious when tackling difficult problems and motivated by finding better ways … partner with stakeholders across Operations to identify opportunities where data science can create measurable business value. Your responsibilities will include: Applying machine learning, AI and advanced analytics techniques to operational challenges Developing predictive models, forecasting solutions and analytical tools using Python and SQL Investigating business performance to uncover key drivers ...

AIOps capabilities, and driving automation across both application and infrastructure lifecycles. This role combines Cloud Engineering, DevOps, SRE, and AIOps practices, leveraging automation, AI-assisted operations, and self-healing capabilities to improve platform reliability, operational efficiency, and service availability. Key Responsibilities: Design, deploy, and support scalable, resilient, and self-healing … other programming languages. Experience administering source control systems such as Git. Experience supporting cloud-based applications and infrastructure in production environments. Practical experience using AI-assisted engineering, automation, or operational tooling. Understanding of AIOps concepts including automated remediation, event correlation, and intelligent monitoring. Exposure to AI agents, agentic workflows, AIOps ...

communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, equity, inclusion, and respect Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test … contributes learnings and reusable patterns to improve broader team effectiveness. Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation. Required qualifications, capabilities and skills Formal training or certification on software engineering concepts ...

grow, develop and fulfil your potential with meaningful careers. About the RoleWe are seeking a highly skilled and hands-on Senior Java Engineer with AI proficiency to help build the next generation FTSE Russell Index Platform. This platform underpins the calculation and distribution of FTSE Russell's global family … data processing, and deep collaboration across global teams. This is a deeply technical role focused on designing, building, integrating, and operationalising modern software and AI driven capabilities across internal platforms and client facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence ...

platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. How will I use AI at Roku? At Roku, we don't just use AI, we work with it. AI agents and smart tools help power drafts, analysis, and repetitive workflows … while our people bring direction, judgment, and accountability. We're looking for curious, adaptable builders who can show how they've used AI or automation to move faster, raise the bar, and scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding ...

title: Principal Software Engineer (Python) Who we’re looking for Public Markets is transforming how technology, data and AI create investment advantage. We are building an AI-native investment platform that combines investor judgement with modern engineering, proprietary data and increasingly agentic capability. We are looking for a talented software … This is not a conventional software engineering role. It requires curiosity, strong technical foundations and a willingness to embrace new ways of working, including AI-assisted development, cloud-native technologies and product-oriented delivery. You will work closely with portfolio managers, analysts, researchers, traders, Product, Data and Operations teams, helping ...

house machine learning capability, helping us better understand future risks, opportunities and operational outcomes. You'll work at the heart of our Data & AI function, developing predictive models that support smarter decision making, improve performance and create tangible value for our customers and business. About the Role As a Data … Scientist in the Central Data & Ai function, you will use advanced analytics, statistical modelling and machine learning techniques to extract forward-looking insights from large and complex datasets across multiple business domains. Working closely with operational and business stakeholders, you'll help define business problems, test hypotheses and develop predictive ...

work across the full stack of modern data engineering ranging from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling and you'll help shape the technical foundation that underpins our retail media platform at scale. You'll partner closely with data scientists, analytical engineers … TopRank Sponsored Listings data platform on BigQuery and dbt, a semantic layer serving Tableau and Looker Studio, Snowplow-based event attribution infrastructure, and agentic AI tooling for Post-Campaign Analysis. You'll have the opportunity to work on all of it. Critically, this role operates in a highly cross-functional ...

major cloud providers Experience working in a technical pre-sales capacity Experience with database programming and data models Experience in data engineering or AI/ML projects Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message A the company Certification A Cloud Provider Certification … Apache Kafka and Kubernetes Modern Architecture Design: Design Patterns and Methodologies: Embrace best practices in microservices, DevOps, cloud, and security Cutting Edge RAG and AI Architectures: Help customers on their generative AI journey and working with industry leading partners in the space Sales Techniques and Soft Skills: Effective Communication: Master ...

success of projects. You are self‐motivated, confident, and possess excellent presentation skills. You think outside the box and have a keen interest in AI technologies. Experience At least three years of experience developing business applications using the Microsoft Power Platform. Solid understanding of Agile development methodologies. Experience using DevOps … Azure services to support secure, scalable integrations and cloud‐based solution delivery. Strong understanding of how processes and data drive business outcomes. Knowledge of AI technologies, including Copilot and LLMs. Experience with agentic AI coding practices and the practical use of AI Tools to support software development and solution delivery. ...

Senior Software Engineer, Payments & Incentives FullTime London At Quantcast, we don't just build advertising technology, we revolutionize how it works. Our AI-powered Demand Side Platform (DSP) connects the world's most ambitious marketers with their ideal audiences across the open internet, delivering results that actually move the needle. … Since 2006, we've been the industry's trailblazer, launching the first AI-powered measurement platform for publishers and the first AI-driven DSP. Our AI doesn't just optimize—it delivers the measurable outcomes that matter most to our clients, giving them the competitive edge they need ...

modelling using statistical rigor as the throughline, from validated instrument design through to automated, auditable analysis pipelines (Python/R/SQL). Pioneer AI-assisted techniques (e.g. LLM-assisted open-text analysis) where they genuinely sharpen the work, evaluating any AI tooling with a critical eye on validity … track record of quant research that measurably shaped product or business decisions, including A/B testing methodology. Hands-on experience experimenting with AI tools in a research workflow e.g. LLM-assisted analysis, AI-assisted qual coding, or evaluating AI-powered research tooling with a critical eye on validity ...

Overview Aioi R&D Lab – Oxford is an AI R&D company based in Oxford, on a mission to harness AI to understand, predict, and manage risk, helping build a safer, more resilient society. We sit at the intersection of academia and industry, working with Oxford's professors, researchers … graduates alongside commercial spinouts and partner companies, to turn frontier research into AI that actually ships rather than just gets published. Our work spans applied AI for insurance and adjacent industries, including supply chains, nature, autonomous driving, and the emerging challenges nobody's solved yet, alongside deep research ...