151 to 175 of 668 Artificial Intelligence Engineering Jobs in England

Strong Python engineering skills (APIs, testing, modular design, async processing) As one of the world's largest networks of audit, tax and consulting firms, RSM delivers big ideas and premium service to help middle-market businesses thrive. We are a fast-growing firm with big ambitions - we have … you. Make an Impact at RSM UK Our Tax Technology team is dynamic, fast-paced and mission driven. We are building a specialist AI engineering capability within our internal tax technology function to design and deliver AI-powered agents, automated workflows, and scalable integrations across enterprise platforms. ...

AI Engineering Manager, London/GlasgowAI Platform Engineering & DeliverySupport with the design and drive the delivery of the agentic AI strategy. Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications. Own end-to-end engineering …/CD automation pipelines. Optimise performance, latency, and cost efficiency across AI workloads. Leadership & Team DevelopmentBuild, lead, and scale high-performing AI engineering teams. Provide technical mentorship, career development, and engineering standards. Establish a strong engineering culture focused on quality, accountability, and continuous improvement. ...

Director of Forward Deployed AI Engineering, EMEA Technical Leadership | Enterprise AI 📍 London Hybrid 💰 £160k - £200k plus bonus We are partnering with one of Europe’s fastest-growing data and AI native consultancies to appoint a Director of Forward Deployed AI Engineering for EMEA. The business works … also operating confidently with C-suite clients, commercial teams and senior technology partners. The opportunity Hire, lead and develop an exceptional Forward Deployed AI Engineering team across EMEA Own the technical and operational standard of complex enterprise AI engagements Shape architectures for production-grade agentic AI, advanced ...

horizontal reuse across squads — building once, scaling many times Optimise systems for performance, cost, and reliability (token-aware design) Champion best practice in AI engineering, governance, and platform thinking Support a culture of inclusive, responsible AI development Qualifications Tech stack & platform experience (core): Strong hands-on experience with ...

ensure Engineering teams deliver secure digital products. To manage a centre for AI excellence for practical and ethical values. About Our Client Marie Curie plays a leading role in shaping the end of life system across the UK; driving research, influencing public policy, campaigning for change, and fighting … empower staff members and to provide appropriate support to enable others to succeed. Ability to lead and drive change. Experience establishing or leading AI engineering teams and delivering real-world outcomes with Agentic and Gen AI. Experience in implementing Agile, squad-based delivery teams. Exposure to system ...

business problems: an expert in deploying AI and using it safely, not an ML modeller. The work is mainly Python across the modern AI engineering stack - harness engineering, skills and tool building, agent workflows and orchestration, agent hosting and sandboxing, guardrails, evals, RAG and context engineering … AI-enabled business processes. Customer-facing AI deployment. Deploy and integrate AI components built by our ML and Decisioning teams into production: the engineering implementation layer between a working model and a live customer feature. AI platform capabilities. Work with the AI Platforms team to turn engagement patterns ...

hybrid, minimum 2 days per week in the office Permanent Insurance sector McCabe & Barton is partnering with a leading insurance business to hire an Artificial Intelligence Engineer for a hands-on role focused on building and deploying practical AI solutions across the organisation. This is an opportunity … production-readiness Experience in insurance, financial services or another regulated environment would be advantageous, but the key requirement is proven hands-on AI engineering capability. This is a strong opportunity to join a business investing in applied AI and to help shape solutions that deliver tangible operational ...

ensure Engineering teams deliver secure digital products.To manage a centre for AI excellence for practical and ethical values.About Our ClientMarie Curie plays a leading role in shaping the end of life system across the UK; driving research, influencing public policy, campaigning for change, and fighting for better services … motivate and empower staff members and to provide appropriate support to enable others to succeed.Ability to lead and drive change.Experience establishing or leading AI engineering teams and delivering real-world outcomes with Agentic and Gen AI.Experience in implementing Agile, squad-based delivery teams.Exposure to system or solution architecture ...

Software Engineer - Leicester - Hybrid (2 days a week in office) - 75,000 We're partnered with a forward-thinking software company that is embedding Artificial Intelligence throughout its product suite and is looking for an AI Software Engineer to join its expanding engineering team. … DOE.Flexible hybrid working options.Dedicated investment into AI and engineering innovation.Modern tech stack with exposure to leading AI platforms.Clear progression into Senior AI Engineering positions.This is an excellent opportunity for a Software Engineer looking to move into a dedicated AI Engineering career, working on intelligent ...

client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).Job DescriptionAs our AI practice scales, we are seeking an experienced AI Architect/Engineer to act as the senior technical authority shaping … governance into solution designs from the outset. QualificationsTo qualify for this role, you must have: Minimum 5 years in AI architecture or AI engineering, ideally 10+, with a track record of production deployments. Deep expertise in LLMs, agent frameworks (e.g. LangGraph, AutoGen, Semantic Kernel), API design, and orchestration. ...

solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance. Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads ...

analytics, AI and digital services. This is a rare opportunity to shape a strategic AWS platform from the ground up, establishing the engineering foundations, automation, security controls and operational standards that future teams will build upon. Working within our Platform Engineering team, you'll design … standards and reusable patterns that make it easier for development teams to adopt AWS Collaborate closely with Architecture, Security, Data Engineering, AI Engineering and application teams to continually improve the developer experience Create a platform that accelerates engineering This role isn't just about ...

govern and serve data for analytics, automation and enterprise AI solutions. The role combines strong data engineering discipline with hands-on AI engineering capability, including designing, developing and productionising AI-enabled solutions using retrieval-augmented generation, embeddings, vector search, context/prompt engineering, agentic … AI architectures, embeddings, vector-based retrieval and context/prompt engineering. Build and productionise AI solutions using the Microsoft ecosystem, including Azure-based AI engineering, M365 Copilot extensibility and Power Platform, where appropriate. Integrate AI-enabled components into enterprise systems and software, ensuring technical fit, operational resilience ...

AI Engineering Manager, London/Glasgow Support with the design and drive the delivery of the agentic AI strategy. Lead the design and delivery of scalable AI systems across Azure, including multi-agent orchestration platforms and LLM-powered applications. Own end-to-end engineering lifecycle: architecture …/CD automation pipelines. Optimise performance, latency, and cost efficiency across AI workloads. Leadership & Team Development Build, lead, and scale high-performing AI engineering teams. Provide technical mentorship, career development, and engineering standards. Establish a strong engineering culture focused on quality, accountability, and continuous ...

design artifacts, developing visualizations and reporting from large data sets, and proactively identifying opportunities for improvement. You will also contribute to our software engineering communities and explore emerging technologies. Job Responsibilities Deliver AI/ML projects through the ML development life cycle using Agile methodology Transform business requirements … AI/ML solutions Familiarity with agentic workflows and frameworks such as LangChain, LangGraph, Auto-GPT Deep knowledge and experience in machine learning and artificial intelligence Expertise in at least one area: Large Language Models, Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking ...

Lead the technical implementation of the organisation's AI strategy Evaluate emerging AI technologies and identify adoption opportunities Define AI engineering standards, patterns and best practices Act as technical authority for AI-related projects and programmes Mentor and develop engineers, architects and technical specialists Design scalable AI … regulatory standards. Highest-signal resume keywords AI Strategy Implementation Generative AI Solutions Azure AI Services Large Language Models MLOps Practices Hard Skills Python AI Engineering Standards Machine Learning Solutions Data Engineering Concepts APIs Microservices Cloud‐Native Architecture Model Evaluation Methodologies Prompt Engineering Retrieval‐Augmented ...

working world. You will work across a diverse portfolio of clients spanning Financial Services, the Public Sector, and the Private Sector. Our Applied AI Engineering teams deliver production-grade AI systems in regulated financial institutions as well as government, health, infrastructure, consumer, industrial and energy organisations. This cross … threads: set technical direction, mentor engineers, and ensure systems are production‐ready (reliability, observability, security, runbooks). Continue your development through the Applied AI Engineering Academy focused on advanced patterns and engineering leadership. EY Grade: Manager (UK) What you’ll do Client‐facing engineering ...

writing high‐quality, tested, maintainable code and staying close to implementation rather than delegating it away. Technical Leadership Within the Squad Lead the engineering practice within your delivery team: set coding standards, review designs and pull requests, unblock technically complex problems, and mentor other engineers day to day. … Practitioner) — delivering iteratively within a blended, multidisciplinary team including civil servants. Given the scale of this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure ...

operating advanced large language model solutions and contributing to scalable, production-ready data platforms. We’re particularly interested in candidates who combine deep AI engineering knowledge with strong production-level software development skills and an understanding of how to integrate, monitor and evaluate AI systems effectively. The Opportunity … strong Python development skills and significant hands-on experience designing and operating large language models. You will also have: Extensive practical experience within AI engineering, particularly involving large language models. Strong proficiency in Python and production-level software development. Experience using LangSmith, Braintrust, Arize or similar AI observability ...

solutions driven by GenAI, deep learning and machine learning to address business challenges and elevate product performance. Build standards and recommendations for the AI engineering tech stack and data science models used across different enterprise AI use cases. Work closely with AI implementation, governance, and enterprise architecture squads ...

engineering patterns (security, performance, maintainability). Experience with Datadog for complex observability, tracing, and monitoring in AI environments. Familiarity with foundational AI engineering tooling like Pydantic AI, LiteLLM, or LangChain. Are you ready for a career with us? We want to ensure you have the right … identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status. *Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with ...

productising, and deploying NCS’s AI platforms and reusable assets across regulated and mission-critical sectors. AIC works at the intersection of deep AI engineering and high-stakes client environments in aviation, land transport, public safety, telecommunications, and government. AIC is not an internal support function. … ambiguity and know how to move from problem framing to working solution. You will use AI as a force multiplier across research, design, engineering, and delivery, while staying accountable for real client outcomes. We are looking for engineers who can demonstrate that they have designed and deployed consequential ...

productising, and deploying NCS’s AI platforms and reusable assets across regulated and mission-critical sectors. AIC works at the intersection of deep AI engineering and high-stakes client environments in aviation, land transport, public safety, telecommunications, and government. AIC is not an internal support function. … ambiguity and know how to move from problem framing to working solution. You will use AI as a force multiplier across research, design, engineering, and delivery, while staying accountable for real client outcomes. We are looking for engineers who can demonstrate that they have designed and deployed consequential ...

engineering capability responsible for delivering complex AI solutions into enterprise environments. This is a rare opportunity to define how AI engineering is delivered across major organisations while building a high‐performing team from the ground up. This role combines engineering leadership, technical strategy … enough to delivery to influence architecture, engineering quality and client outcomes. Skills and Experience Extensive experience leading software engineering, AI engineering or enterprise architecture teams Proven track record of building and scaling high‐performing engineering organisations Strong knowledge of modern AI technologies ...

acumen and problem-solving skills. The ideal candidate should possess strong knowledge of the Databricks Data Intelligence Platform and the modern data & AI engineering practices, complemented by a keen ability to translate complex business requirements into robust, scalable Data & AI solutions that create trusted data foundations, AI … analytics solutions on the Databricks Platform using Delta Lake, Spark SQL/PySpark, Unity Catalog and Databricks SQL.Deliver solutions across the full data & AI engineering lifecycle, from requirements analysis and solution design through development, testing, deployment, operational readiness and continuous improvement.Work directly with clients and stakeholders to understand ...