376 to 400 of 663 Artificial Intelligence Engineering Jobs in England

scalable, cloud‐hosted AI solutions suitable for a regulated reinsurance environment. The role combines hands‐on AI and full‐stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI … data products, or external services. Collaboration & Knowledge Sharing Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned. Act as a bridge between Business & AI experimentation and wider PL Re technology capabilities to accelerate AI adoption ...

that made it into production, we’d like to hear from you. We’re looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We’re hiring across different levels of experience, so the scope and seniority … ownership. As an AI Native Software Engineer, you’ll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI capabilities into reliable solutions that work in real-world environments. Depending on your experience, you could be working on: Designing ...

that made it into production, we’d like to hear from you. We’re looking for AI Native Software Engineers to join our AI Engineering team in London & Birmingham, working across Agentic and Applied AI. We’re hiring across different levels of experience, so the scope and seniority … ownership. As an AI Native Software Engineer, you’ll design, build and deploy production-grade software and AI systems, working closely with engineering teams to turn AI capabilities into reliable solutions that work in real-world environments. Depending on your experience, you could be working on: Designing ...

long history of helping clients navigate complex challenges. As technology continues to reshape the legal industry, we are investing significantly in innovation, engineering excellence and AI-enabled solutions that enhance how we deliver services to our clients and support our people. Our Innovation team plays a central role … orchestration technologies such as Docker and Kubernetes. Experience designing secure, API-driven architectures and integrating enterprise security controls. Hands‐on experience with AI engineering platforms, large language models, orchestration frameworks and AI solution development. Familiarity with tools such as GitHub, Azure DevOps and automated deployment pipelines. Exposure ...

AI Ops Manager to oversee the reliability, cost efficiency, and evolution of enterprise-scale AI services. You will operate across data platforms, AI engineering, product teams, and governance to move AI from experiments to production-grade capabilities. In a Databricks, Azure, and Foundry ecosystem, you will establish ...

+ Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant/Senior Consultant to join its growing Data & AI practice click apply for full job details ...

drive cross-team collaboration across frontend, backend, AI, and Kubernetes-based infrastructure. You will own the long-term technical vision for the AI engineering function, mentor engineers, and shape the AIR roadmap while championing responsible AI practices #J-18808-Ljbffr ...

will build streaming interfaces, ensure responsive UIs during asynchronous tasks, and integrate with backends via REST/WebSockets. Collaboration with product and AI engineering teams is essential. The role emphasizes production-grade front-end delivery, maintainable architecture, and opportunities to influence AI-powered interfaces in #J-18808-Ljbffr ...

Formula. is partnering with a forward-thinking tech business to hire a Backend Engineer in its AI engineering function on a market-leading consumer platform. The role focuses on designing, building, deploying, and monitoring AI systems that scale for millions of users. You'll work cross-functionally with ...

long-term vision for AI capabilities that help product teams move faster and improve customer experience. You will partner with Data & AI, engineering, and business leaders, bringing deep ML expertise to identify high-impact opportunities and shape data-informed decisions. #J-18808-Ljbffr ...

GlobalLogic, a Hitachi Group Company, seeks an experienced Technical Programme Manager - Data & AI Engineering in the UK. You will own end-to-end data transformation initiatives across BFSI sectors, ensuring delivery excellence while aligning with executive strategy. Lead large distributed teams, oversee cloud/data architectures, and drive ...

Alpha, and shaping the system architecture rather than maintenance. You will join a cross-functional team of engineers from multiple suppliers and an AI engineering capability, delivering #J-18808-Ljbffr ...

AECOM seeks a Project Delivery Engineer to join its AI Engineering team in London, focusing on MEP product delivery for innovative infrastructure projects. You’ll review designs, translate client requirements, and work with customers to shape deliverables through QA and continuous improvement. The role requires broad MEP knowledge ...

seeking an experienced technology leader to head the Markets Finance Technology team. You will drive modernization of financing tech platforms and define the AI Engineering strategy to boost productivity and delivery speed. The role requires strong technical depth with global team leadership in a fast-paced environment, plus ...

global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world’s leading public cloud and silicon providers, and industry leaders in many sectors. The company ...

prioritise enhancements to existing AI capabilities, providing operational insight to inform decisions.Translating business and product priorities into clearly defined delivery backlogs for the AI engineering teams.Overseeing delivery of incremental enhancements, ensuring changes are tested, validated and deployed safely.Delivery and transition to operationsAccountable for transitioning new AI capabilities from … managementCoordinating a remote, India-based engineering team covering platform, data and AI specialisms .Providing clear direction, priorities and outcomes for the AI engineering teams. Ensuring delivery capacity is aligned to agreed priorities and service commitments.Governance, risk and assuranceEnsuring AI solutions operate in line with digital, security ...

prioritise enhancements to existing AI capabilities, providing operational insight to inform decisions.Translating business and product priorities into clearly defined delivery backlogs for the AI engineering teams.Overseeing delivery of incremental enhancements, ensuring changes are tested, validated and deployed safely.Delivery and transition to operationsAccountable for transitioning new AI capabilities from … managementCoordinating a remote, India-based engineering team covering platform, data and AI specialisms .Providing clear direction, priorities and outcomes for the AI engineering teams. Ensuring delivery capacity is aligned to agreed priorities and service commitments.Governance, risk and assuranceEnsuring AI solutions operate in line with digital, security ...

core of the Xantura business. The Role You’ll own and evolve Xantura’s text analytics platform (XTA), the NLP system that extracts structured intelligence from unstructured case notes across health, housing, and social care. You’ll work across the full spectrum of NLP: from classical text classification … Computational Linguistics, Machine Learning, or a related technical field, or equivalent practical experience. 3+ years of professional experience in an NLP, ML, or AI engineering role. Strong programming skills and production experience in Python. Clear evidence of practical experience across some or all of the following LLM utilisation ...

## AI Engineering LeadApplylocations: Londontime type: Full timeposted on: Posted Yesterdayjob requisition id: R5422The TP ICAP Group is a world leading provider of market infrastructure.Our purpose is to provide clients with access to global financial and commodities markets, improving price discovery, liquidity, and distribution of data, through responsible … York — to establish the operating model for embedded AI delivery on the broking desks.The AI Solutions Group is a small, business-literate engineering team that sits alongside the brokers and embeds AI capability directly into the broking workflow — from the first client conversation through research, execution and booking. ...

enhance user experience and efficiency.Leading projects that utilize Retrieval-Augmented Generation (RAG) and GraphRAG techniques.Developing and optimizing AI models using machine learning and AI engineering platforms.Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. What experience you'll bring: Minimum … communicating their business impact.Experience in providing solutions using Retrieval-Augmented Generation (RAG), GraphRAG, knowledge graphs, code agents, deep research agents, and chatbots.Familiarity with AI engineering platforms (Azure AI Foundry, AWS Bedrock, GCP Vertex AI) and employee-facing AI platforms (Microsoft Copilot Studio, Google Agentspace, Amazon Q Business).Knowledge ...

About WRITER WRITER is where the world’s leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we’re proving it is possible – through powerful, trustworthy AI that ...

Overview The Applied Innovation (of AI) Engineering team is an elite machine learning group strategically located within the Chief Data Analytics Office (CDAO) Technology group of JPMorgan Chase. AI Engineering tackles business critical priorities using innovative machine learning techniques and technologies with a focus on machine … learning for Software, Cybersecurity and Technology Infrastructure. The team partners closely with all lines of business and engineering teams across the firm to execute long-term projects in these areas that require significant machine learning development to support JPMorgan Chase businesses as they grow. Responsibilities Collaborates with engineers ...

Learning Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives.This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation … including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standardsTransitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoringBuilding scalable ML pipelines using AWS services and modern experiment tracking frameworksDeveloping and integrating LLM-powered capabilities for evaluation, tracing ...

hybrid retrieval, BM25 and similarity search Work across relational, document, key‐value and graph databases as the problem demands Design prompt and context engineering that balances accuracy, repeatability, cost and latency Use AI‐assisted development - Claude Code, Copilot, Cursor, Codex - through proper structured workflows, not ad hoc prompting …/CD Own what you build end‐to‐end, including keeping it running Work with others on system design, agentic patterns and AI engineering practice What You Bring 3+ years building production applications with AI or agentic approaches - full‐stack apps, agents, workflows, MCPs Real hands‐on experience ...

some of the world's largest organisations manage assets, operations and critical services.This is an opportunity to work at the forefront of modern AI engineering, building intelligent products that combine Large Language Models (LLMs), agentic AI and cloud-native technologies to solve complex, real-world business challenges … solve them with AI: reusing and extending an existing AI service, or — when nothing suitable exists — scoping the requirements and working with the engineering team to build one. You are the bridge between a product team's business flow and a working AI capability: you know the AI ...