476 to 500 of 860 AI Jobs in London

design multi-tenant data and workflow services in Python and FastAPI and own the integration layer between a Java/Spring core and Python AI services. This is one of nine engineering hires across front-end and back-end. THE ROLE Investment professionals need APIs and workflows that respect permissions … keep an audit trail and fail safely when an AI result can't be trusted. You'll build the services behind that. Report to the Head of Engineering as part of the UK core team. Build multi-tenant data and workflow services, plus the integration layer between the Java/ ...

sufficiency. Champion data-driven ways of working, helping clients improve data literacy, confidence and adoption across their organisations. Identify opportunities to leverage advanced analytics, AI and automation to support innovation and deliver measurable business value. 4. Architecture Leadership & Client Collaboration Act as a trusted adviser to senior client stakeholders, providing … technology consultancy or client-facing professional services environment. Experience shaping or overseeing Microsoft Fabric-based data and analytics architectures. Understanding of advanced analytics, artificial intelligence and machine learning and their strategic business applications. Knowledge of Microsoft Dynamics 365, Dataverse and other enterprise business applications. Familiarity with data product thinking ...

sufficiency. Champion data-driven ways of working, helping clients improve data literacy, confidence and adoption across their organisations. Identify opportunities to leverage advanced analytics, AI and automation to support innovation and deliver measurable business value. 4. Architecture Leadership & Client Collaboration Act as a trusted adviser to senior client stakeholders, providing … technology consultancy or client-facing professional services environment. Experience shaping or overseeing Microsoft Fabric-based data and analytics architectures. Understanding of advanced analytics, artificial intelligence and machine learning and their strategic business applications. Knowledge of Microsoft Dynamics 365, Dataverse and other enterprise business applications. Familiarity with data product thinking ...

identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability ...

identify comprehensive service level indicators and the stakeholder partners to establish reasonable service level objectives and error budgets with your customers Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity … high level of technical expertise within one or more technical domains and provides advice and mentorship to other engineers Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability ...

into some of the largest industrial businesses in the world. About the Client Morela is proud to be supporting a fast-growing, venture-backed AI company that builds a strategy and operations platform for large industrial enterprises. Founded by former executives who ran a $1bn division at a Fortune … industrial business, they bring an organisation's scattered finance, supply chain and commercial data into one place, then layer AI on top so leadership can make decisions on real numbers. They already work with a growing roster of major enterprise customers across several industrial verticals, and have significant open headcount ...

into some of the largest industrial businesses in the world. About the Client Morela is proud to be supporting a fast-growing, venture-backed AI company that builds a strategy and operations platform for large industrial enterprises. Founded by former executives who ran a $1bn division at a Fortune … industrial business, they bring an organisation’s scattered finance, supply chain and commercial data into one place, then layer AI on top so leadership can make decisions on real numbers. They already work with a growing roster of major enterprise customers across several industrial verticals, and have significant open headcount ...

Advanced Python and SQL skills with experience building production-ready models Expertise across forecasting, predictive modelling, customer segmentation, and classification techniques Experience working with AI-assisted development tools such as GitHub Copilot, Claude, Codex, or similar to improve productivity and code quality Understanding of LLM applications, prompt engineering, and practical … AI use cases within analytics workflows Excellent stakeholder management skills with the ability to translate technical outputs into clear business recommendations How to Apply If you're interested in this Senior Data Scientist opportunity, please apply with your CV for immediate consideration. ...

simpler analytical or process solution is more appropriate. Personally build working proofs of concept using tools such as SQL, Python, Databricks, Power BI, AI tooling, and appropriate low-code platforms. Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case. Use prototypes … them into practical, evidence-based solutions. Hands-on ability to interrogate data and build working prototypes using several of SQL, Python, Databricks, Power BI, AI tooling, or low-code tools. Commercial insurance, insurance broking, specialty insurance, claims, placement, portfolio analytics, or underwriting experience. Experience with data mesh, domain-oriented data ...

their technical counterpart, sharing ownership of build quality and pushing our engineering standards forward. You will automate the manual, integrate the disconnected, and use AI to work smarter. If you enjoy solving real problems for real people and take pride in solutions that last, this is a chance to make … troubleshooting skills, and the drive to fix things properly. Clear communication skills with both technical and non-technical audiences. A genuine interest in AI and using it to work more efficiently; for example, accelerating user story creation, test case generation, documentation and analysis. Preferred experience Power Apps (canvas and model ...

will also optimise data processing frameworks and support the full software development lifecycle, including production monitoring and troubleshooting. Leveraging modern data engineering technologies and AI-enabled workflows to improve automation and control frameworks is expected. The ideal candidate will hold a bachelor's degree in Computer Science, Engineering … financial controls, or highly regulated environments, as well as knowledge of financial markets and trading systems. Familiarity with cloud platforms, modern data engineering technologies, AI-enabled workflows, and large-scale financial datasets will be advantageous. Please click here to find out more about our Key Information Documents. Please note that ...

across a European platform • Integrating with payment providers, credit bureaus, KYC/AML services and funding partners • Helping shape engineering standards, best practice and AI-assisted development • Mentoring colleagues and raising the bar across the engineering team What we offer • Up to £85,000 salary • 15% annual bonus … PostgreSQL expertise and AWS experience. • Experience working within complex or regulated environments. • A collaborative approach with strong technical problem-solving skills. • Experience in using AI-assisted development tools such as Claude Code, GitHub Copilot, Cursor or similar. Diversity & Inclusion At HomeServe, we're committed to creating a workplace where everyone ...

controlled experiments are not practical. Shape the automation strategy Determine the right intervention for different customer problems whether they should be automated, augmented by AI, handled by people or prevented altogether. Test and evaluate interventions to understand their impact on customer outcomes, operational effectiveness and cost. Shape the long-term … working on customer-facing products, ideally in customer support, customer operations or another high-volume service environment. Experience evaluating the impact of automation or AI-powered customer experiences. Experience applying predictive or behavioural modelling to support product or operational decision-making. Experience working with sensitive customer data in environments with ...

deployment Promote a security-first culture within development teams, including awareness and best practices Maintain awareness of emerging risks and technologies, including basic AI/LLM-related application risks, and support translation into practical controls where required Produce and maintain architecture artefacts, standards and guidance documentation What we're looking … pipeline integrations Familiarity with cloud-native application security (Azure/GCP environments) Exposure to API security controls and testing approaches Basic understanding of AI/LLM application risks, such as prompt injection or data exposure Experience working within regulated environments (telecommunications, financial services, critical infrastructure) Understanding of Telecoms Security ...

deployment Promote a security-first culture within development teams, including awareness and best practices Maintain awareness of emerging risks and technologies, including basic AI/LLM-related application risks, and support translation into practical controls where required Produce and maintain architecture artefacts, standards and guidance documentation What we're looking … pipeline integrations Familiarity with cloud-native application security (Azure/GCP environments) Exposure to API security controls and testing approaches Basic understanding of AI/LLM application risks, such as prompt injection or data exposure Experience working within regulated environments (telecommunications, financial services, critical infrastructure) Understanding of Telecoms Security ...

multi-quarter project. Review tooling platform — the review surface on which Global (and regional teams) build their review flows; the foundation that makes AI-assisted review and review automation measurable and safe to roll out. Unified Vendor Integrations — one observable, retryable, swappable gateway for registry, adverse media, website signal, Acceptable … customer's risk profile shifts. How do we re-decide retroactively across millions of customers without stampeding downstream systems or ops queues? ML/AI in the loop — safely. Where does automation genuinely help (document classification, risk scoring, agent copilots), where does it not, and how do we ship ...

Our client is a digital and technology consultancy. About Us: Our client, part of our client, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and ...

difference in peoples lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, youll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from … various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain. Prototyping. Delivers ...

Method Resourcing is hiring a hands-on Microsoft Copilot Consultant to help a global financial services organisation turn business challenges into secure, production-ready AI solutions. You'll work directly with business and technology teams to uncover valuable use cases, determine the right technical approach and deliver solutions using Microsoft … Copilot, Copilot Studio, AI agents and the wider Microsoft ecosystem. This is not a Copilot adoption, training or high-level strategy role. You'll own the technical journey from discovery and prototyping through to solution design, integration and implementation. In this role you will: Lead discovery sessions to understand business ...

people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from … various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain. Prototyping. Delivers ...

people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from … various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain. Prototyping. Delivers ...

Fullstack Engineer Project Description WS1 is an initial workstream focused on building an AI/agentic capability on Azure using Python. The team will shape and deliver an early solution in partnership with the business, establishing the technical foundations, architecture, and product direction for the wider programme. Role Description … welcome). This role will focus on building, deploying, and optimising scalable, high-performance web applications that handle large volumes of data and integrate AI-driven components. You will work closely with backend engineers, cloud specialists, and AI teams to deliver intelligent, production- ready applications at scale. Key Responsibilities Design ...

Senior AWS AgentCore Architect to join on a contract basis and provide experienced architectural leadership for the build-out of an agentic AI platform. You need to be a genuinely senior, hands-on architect who can take ownership quickly and provide technical direction rather than someone who has only worked … around GenAI at a high level. What we need Must have Strong AWS architecture background Hands-on experience building agentic AI/AI agent platforms on AWS Strong knowledge of Amazon Bedrock AgentCore/Bedrock ecosystem Able to define architecture and technical patterns for enterprise-grade agentic solutions Strong understanding ...

Business Analysts, Architects and Quality Engineers in Agile teams. Kafka, MQ and REST connect a set of products running on Azure and Kubernetes, and AI-assisted engineering tools are used from day one. 12 months, hybrid, with half your time on site in Hounslow. What You'll Be Doing Designing … your team's services, deploying containers to Kubernetes on Azure Taking part in peer reviews, technical design discussions and architecture reviews Using AI-assisted engineering tools, and checking their code, tests and designs against security, performance and operational standards Investigating defects, finding root causes and supporting deployment, monitoring and troubleshooting ...

client is a global technology company. Artificial intelligence will be one of humanitys most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies … equivalent practical experience. 5 years of experience in software development, including experience with Python. Experience with the research-to-deployment pipeline in a frontier AI environment. Experience working in a software engineering or research team. Preferred qualifications: Experience with cybersecurity detection and response, building classifiers and anomaly detection systems ...