851 to 875 of 18,007 AI Jobs in the UK

life-sciences domain familiarity (oncology, diagnostics, regulatory terms like FDA PMA/510(k), IVDR) — speeds up prompt and content work enormously.Machine learning/AI/agentic tooling exposure: Familiarity with machine learning fundamentals, and/or experience supporting ML/AI use cases.Experience exploring LLM-based tooling, including agents ...

Global Targeting squad to use model outputs to change what users see Exploring new developments at the intersection of traditional Machine Learning and AI, and determining how they can be utilised effectively to drive better outcomes for our users and business Skills we'd love you to have A self … home interacting with stakeholders from across different specialisms around the organisation We’d especially love to hear from you if you have Experience using AI tools as part of your everyday workflow, with the judgement to know what to trust, what to verify, and when the output isn't good ...

sciences domain familiarity (oncology, diagnostics, regulatory terms like FDA PMA/510(k), IVDR) — speeds up prompt and content work enormously. Machine learning/AI/agentic tooling exposure: Familiarity with machine learning fundamentals, and/or experience supporting ML/AI use cases. Experience exploring LLM-based tooling, including ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … skills Experience with data, AWS and AIML engineering in commercial settings, preferably in financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating ...

methods and industry-standard practicesAdvise cross-functional teams on technological matters within your domainApply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automationEnhance automation at scale to improve value and efficiencyLead architectural decisions and engineering practices across multiple teamsCollaborate with stakeholders to deliver impactful … stability at enterprise scaleExpertise in Python and/or PySparkKnowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineeringExperience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow ...

Code concepts ISTQB or relevant testing certification preferred Nice to Have Experience with streaming/event-driven architectures Strong understanding medallion architecture Experience testing AI/ML data pipelines Exposure to enterprise reporting and analytics platforms Knowledge of security and compliance testing for cloud data platforms ...

industry-standard practices Advise cross-functional teams on technological matters within your domain Apply knowledge of tools within the Software Development Life Cycle, including AI-assisted development and automation Enhance automation at scale to improve value and efficiency Lead architectural decisions and engineering practices across multiple teams Collaborate with stakeholders … enterprise scale Expertise in Python and/or PySpark Knowledge of software application development and technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks ...

support of the firm’s business objectives. You will work on challenging Cloud-native data, backend engineering and AIML engineering, helping us industrialize AI/ML models at Production scale. This role is a technical hands-on Engineering role. Experience with data science/ML modeling is advantageous … capabilities, and skillsExperience with data, AWS and AIML engineering in commercial settings, preferably in financial sectorExperience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOpsPrior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

Power Platform:Power Apps (essential)Power Automate (essential)Power Pages/Portals (preferred)Power BI (preferred)Demonstrable hands-on experience with Microsoft Copilot and AI capabilities within the Dynamics 365 and Power Platform ecosystem, including one or more of the following:Microsoft Copilot Studio – designing, building and deploying custom Copilots … agents integrated with Dynamics 365 CRM processesDynamics 365 Copilot features in Sales and Customer Service (e.g. AI-generated summaries, email drafting, case resolution suggestions, real-time agent assist)AI Builder – document processing, prediction models, and form recognition within Power Platform and Dynamics 365 workflowsAzure OpenAI Service integration with Dynamics ...

teams to ensure integration strategies align with internal APIs, data lakes, and cloud-based platforms (AWS, Azure, GCP).Continuously grow and develop skills across AI/ML and GenAI and increase business acumenSupport client onboarding, vendor integrations, and managed service engagements by providing technical specifications and solution architecture for data … heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where ...

driving and advanced driver assist technologies; Arene, our software development platform for software-defined vehicles; Woven City, a test course for mobility; and Cloud & AI, the digital infrastructure powering our collaborative foundation. Business-critical functions empower these teams to execute, and together, we’re working toward one bold goal … world with zero accidents and enhanced well‐being for all. TEAM At Woven by Toyota, we tackle Autonomy challenges at the intersection of AI, Robotics, and Advanced Driving. We develop advanced Perception and Planning technologies, and their production software for multiple AD/ADAS systems. To deliver reliable data-driven ...

into compelling strategic narratives with actionable recommendations. Experience evaluating and developing strategies for software and/or data-driven products. Experience with advanced databases, AI/ML applications, or SaaS business models is advantageous. Experience driving execution across multidisciplinary teams in a collaborative environment. Excellent analytical, problem-solving, and critical … thinking skills with the ability to synthesize complex information. Experience leveraging generative AI tools for strategy, research, or analytical tasks. Strong communication and presentation skills with the ability to convey strategic concepts to diverse audiences. Location: London, UK or Amsterdam, Netherlands. Work in a Way That Works ...

customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital … Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.We’re on a mission to transform how companies use data. Come be a part of our journey!Note ...

customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company's sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital … Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We're on a mission to transform how companies use data. Come be a part of our journey ...

Translate research concepts into scalable production solutions through collaboration with Engineering, Technology and Data Operations teams.* Build and maintain advanced research infrastructure, analytics platforms, AI-enabled workflows and automation capabilities.* Provide leadership during complex analytical, data quality and operational investigations, ensuring robust and timely outcomes.* Work closely with Product … methodologies—is essential.The successful candidate will possess strong Python and SQL skills, experience with modern software development practices, CI/CD, cloud computing and AI-assisted development tools. Experience with financial datasets and platforms such as Worldscope, IBES, Lipper, Datastream and Refinitiv Workspace is highly desirable. Equally important ...

Services, and Asset ManagersDevelop and maintain robust ML and data pipelines for experimentation and deployment.Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.Explain ML/NLP model outputs and methodologies … ideas into relevant research designs, features, and model outputs.Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases).Demonstrated experience with interpretable AI techniques.What Would Make You Stand Out:Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).Advanced degree or certification ...

hands of the people who need them. Whether it's REST APIs feeding internal apps, GraphQL endpoints powering dashboards, or MCP servers fueling AI agents-you own the serving layer that makes models actually useful across RBC.You'll report to the Director, Data Science, working closely with the Data Science … platforms, and enterprise systems-handling contract design, versioning, authentication, and clear documentationBuild MCP servers that expose models and data products as structured tools for AI agents and LLM apps-enabling new use cases and unlocking what's possible with AICreate middleware layers when needed-handling transformation, enrichment, or protocol adaptation ...

Connector (KCC). Networking & Protocols: Knowledge of core systems and networking concepts (TCP/IP, UDP, HTTP, DNS, load balancing, and messaging protocols). AI & Agentic Engineering: Forward-thinking approach to automation, leveraging Generative AI and Agents (e.g., Gemini) to optimize platform operations. Analytical Problem-Solving: Data-driven mindset ...

Knowledge of SQL, Python, R, or BI tools (Tableau, Power BI, etc.) Experience working with complex datasets or building dashboards Exposure to automation or AI-driven analysis ...

Please put Reasonable Adjustment Request in the subject line of the email. Sony Pictures does not allow audio recording, video recording or use of AI note-taking tools during interviews. Candidates requiring these tools as an accommodation during an interview should submit a reasonable adjustment request at the point they … Please put Reasonable Adjustment Request in the subject line of the email. Sony Pictures does not allow audio recording, video recording or use of AI note-taking tools during interviews. Candidates requiring these tools as an accommodation during an interview should submit a reasonable adjustment request at the point they ...

structure suitable for reporting and analytics.Reporting: Developing interactive dashboards to support the business in self-serving the data and insight they need.Analytics and AI: Using models and analytics techniques to enhance or add value to data. This could relate to supervised/unsupervised machine learning and have applications across advanced … analytics and AI agent development.Standards and Best Practice: Adopting best practice and championing the standards established by the central team, providing support and guidance to the wider network of data practitioners and users across the business.Contribution to Ways of Working: Providing constructive challenge to team ways of working and putting ...