176 to 200 of 253 Artificial Intelligence Engineering Jobs in the UK

multi-cloud environment using Terraform, Kubernetes, and CI/CD pipelines. This role offers you the opportunity to grow your expertise in applied AI engineering while contributing to systems that operate at enterprise scale. Key responsibilities Deliver software through a disciplined software development lifecycle, working from well-defined … authorized AI-assisted development and automation capabilities, to improve the value realized by automation Required skills & experience Formal training or certification on software engineering concepts and proficient applied experience Strong hands-on Python development experience building backend services, including testing, packaging, dependency management, and maintainability Strong database ...

Software Engineering Manager (Backend SaaS) Canonical · London Licensed sponsor London On-Site Likely to sponsor About the role Canonical is a leading provider of open source software and operating systems … 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 ...

/QC), ensuring solutions are fit for purpose, secure, low risk, and cost‐efficient amid consumption‐based AI pricing. Define and embed AI engineering standards, reference architectures, and reusable patterns, collaborating with infrastructure teams to govern shadow AI usage. Lead AI literacy and enablement across Digital … wider business. Mentor and uplift the Automation Practice team to diffuse AI capability and support transition to a permanent in‐house AI Engineering Manager. Represent the Automation & AI Practice in cross‐functional forums, translating AI strategy into delivery roadmaps and measurable outcomes. Skills & Experience Required Deep, hands ...

/QC), ensuring solutions are fit for purpose, secure, low risk, and cost-efficient amid consumption-based AI pricing. Define and embed AI engineering standards, reference architectures, and reusable patterns, collaborating with infrastructure teams to govern shadow AI usage. Lead AI literacy and enablement across Digital … wider business. Mentor and uplift the Automation Practice team to diffuse AI capability and support transition to a permanent in-house AI Engineering Manager. Represent the Automation & AI Practice in cross-functional forums, translating AI strategy into delivery roadmaps and measurable outcomes. Skills & Experience Required Deep, hands ...

Cursor or OpenAI as part of their daily workflow and wants to work in an environment where AI is genuinely embedded into the engineering culture. You'll be building and enhancing backend systems using C# and .NET whilst helping drive best practice around AI-powered software delivery. WHAT … WOULD BE GREAT IF YOU ALSO HAVE... Azure/AWS experience CI/CD and DevOps knowledge Experience mentoring engineers Experience introducing AI engineering practices into development teams KEY SKILLS AI Engineer, Software Engineer, Senior Developer, C#, .NET, .NET Core, Backend Engineer, Claude Code, GitHub Copilot, Cursor, OpenAI ...

alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm‐wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack – coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building … adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape – coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research – and translate what matters into practical curriculum changes Collaborate with ...

alongside the AI Business Partner team, sharing infrastructure, governance, comms, and the firm‐wide adoption dashboard. Your primary toolkit today spans the modern AI engineering stack—coding agents, agentic harnesses, MCP, in‐platform AI in Snowflake and Databricks, and the JHOS/NEXUS platform Percepta is building … adoption data across GitHub Copilot, AI Foundry, APIM, Cortex, Databricks Genie Code, and the forthcoming LLM Gateway Stay current with the rapidly evolving AI engineering landscape—coding agents, agentic harnesses, MCP, model releases, benchmarks, DORA and industry research—and translate what matters into practical curriculum changes Collaborate with ...

grow and advance. Accenture’s Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture’s broader Strategy and Consulting practice, we are able to bring together the unique ability … alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our Applied Intelligence team with the credibility, expertise, and insight clients depend on. Develop your skills with our world‐class training programmes. Drive your career progression through ...

clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks … enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI ...

clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks … enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI ...

withstructured and unstructured data sources, including databases, APIs, files, and document repositories. Develop pipelines toparse and extract data from documents and imagesusing OCR, document intelligence, and related tools. Process and structure extracted content for downstream AI use cases. Store parsed and chunked content in avector databaseand manage embeddings effectively. … applications from ingestion to retrieval and evaluation. Strong problem-solving skills with a practical implementation mindset. Comfortable working across data engineering, AI engineering, and application integration. ...

Location: London (UK) Department: Engineering Hours: Full-time About YLD: YLD is a software engineering and product design consultancy, founded in 2013, headquartered in London, with delivery teams in Lisbon and Porto. We work with engineering and product leaders who know what good looks … transformation (dbt, Spark) AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic search, evals, guardrails, etc) You should apply if: Confident and credible in front of clients and prospects, without needing ...

office. This must be completed before we can proceed to an offer. Additional Preferred Qualifications Experience leading technical teams, including data science or AI engineering functions, demonstrating strong emotional intelligence to recognize and navigate strengths and weaknesses in themselves and others for optimal outcomes. Proficiency with roadmap ...

Generative AI within Markets Technology. Our focus is on building greenfield products that span multiple markets asset classes, solving real problems with modern AI engineering approaches. We work at the frontier of what is practical and valuable with LLMs -exploring agentic patterns, orchestration approaches, retrieval techniques, and emerging … capabilities, but doing so with the seriousness and technical depth needed to build real platforms and products. If you are excited by greenfield AI engineering, passionate about modern software craft, and want to work in a team where your ideas and technical judgement will genuinely matter ...

Generative AI within Markets Technology. Our focus is on building greenfield products that span multiple markets asset classes, solving real problems with modern AI engineering approaches. We work at the frontier of what is practical and valuable with LLMs - exploring agentic patterns, orchestration approaches, retrieval techniques, and emerging … capabilities, but doing so with the seriousness and technical depth needed to build real platforms and products. If you are excited by greenfield AI engineering, passionate about modern software craft, and want to work in a team where your ideas and technical judgement will genuinely matter ...

Risk Technology, you will lead a specialized technical area, driving impact across teams, technologies, and projects. You will leverage your expertise in software engineering, multi‐agent system design … data science, and NLQ to deliver complex, high‐impact initiatives. You will mentor and guide a team of engineers, foster best practices in AI engineering, and partner with data science, product, and business teams to deliver end‐to‐end solutions that drive value for the Risk business. ...

fast‐moving revenue‐generating pre‐seed startup already running frontier AI models in production. You’ll work directly with the founders, own AI engineering end‐to‐end, and have a major impact across product quality, infrastructure efficiency and technical direction. What we’re looking for 5+ years’ experience …/rendering experience beneficial What’s on offer £100k - £140k base + equity Founding-level ownership 1 day a week in London Greenfield AI engineering challenges Direct collaboration with founders If you enjoy building practical AI systems, moving quickly, and solving real‐world problems with modern AI tooling ...

leading the strategy, development and adoption of proprietary platforms that transform cultural intelligence into commercial advantage. You will combine product leadership, analytics, AI, engineering and innovation to build trusted enterprise solutions used by teams and clients globally.**The B Side: Skills & Experience****Core Responsibilities*** Define and lead … workflows that democratise access to insights across global markets.* Connect internal, partner and licensed datasets through modern APIs and data products to enrich intelligence capabilities.* Champion data provenance, transparency and explainability through evidence-backed insights, confidence scoring and methodology documentation.* Lead responsible AI implementation, ensuring generated outputs are source ...

deliver technology solutions for market-leading products with a focus on Cloud-native data and AI engineering. Responsibilities include executing software solutions, building engineering stacks, and contributing to software engineering communities. The ideal candidate will have strong qualifications in software engineering and experience with ...

founders in a small, high-performing engineering team. We're interested in speaking to engineers with experience in areas such as: AI Engineering Full Stack Development Python React LLM Applications Agentic AI NLP Modern Software Engineering You don't need experience across everything. Curiosity ...

Sky. Role/Team overview We are seeking an AI Specialist to design, build, and operationalise intelligent systems that enhance Site Reliability Engineering (SRE) platforms and automate large-scale infrastructure operations. This role has a strong emphasis on reliability, scalability, and operational efficiency. You will work closely with … improve signal fidelity . Build predictive reliability models (e.g., capacity forecasting, failure prediction). What you'll bring Essential criteria: Strong experience in AI engineering, particularly in operational or systems contexts . Practical experience of SRE principles (SLIs, SLOs, error budgets, incident management). Strong experience of cloud ...

Software Engineer (Backend and AI Systems) Location: Hybrid. Stafford HQ 1 to 2 days a week, remote for the rest. Salary: £42,500 to £55,000 depending on experience, plus EMI share options. Type: Full ...

business use cases Work closely with senior data scientists to support project delivery and professional development Contribute to the continuous improvement of AI engineering standards and best practices Support the deployment and monitoring of AI applications on Google Cloud Platform What do you need to thrive? STEM degree … explore new AI frameworks and innovations Interest in cloud-based technologies and AI deployment Commitment to continuous professional development and growth within AI engineering So, whats in it for you? Bonus Schemes A bonus that regularly rewards you for your performance A pension ...

# Head of Quality Engineering* London* Full Time (Permanent)* Hybrid* AI EngineeringApply for this role## About the roleQuality at Lendable is a team-level responsibility with participation from PMs, EMs and engineers to ensure the right guardrails are in place to deliver quality software. We aggressively automate across … whole test pyramid and only manually test where absolutely necessary.We’re hiring a Head of Quality to be accountable for engineering quality across the organisation, while local responsibility for delivering quality stays with each team. As we grow in headcount and customer numbers, this role keeps ...

clients, not in a presentation but in production. The Role This is a technical leadership role at the centre of our Forward Deployed AI Engineering practice. Reporting to the CTO, you will lead a team of Forward Deployed AI Engineers who embed directly with our most strategic clients … work directly with clients at the most senior level, with Anthropic teams, and with Indicium AI leadership to define the direction of our AI engineering practice. The best FDE leaders we have seen do not just run a team - they define what good looks like, and they build ...