151 to 175 of 194 Artificial Intelligence Engineering Jobs in the UK

Salary up to 85000 depending on experience. • Hybrid working, three days in the office. • The chance to grow quickly in a newly established AI engineering capability. • Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant ...

alpha generation. You will be working directly with front office users who sit on the desk. You will be using Python and AI engineering techniques to pioneer something at the forefront of the market, with a globally renowned hedge fund. Multiple hires at multiple experience levels on offer. ...

Salary up to 85000 depending on experience. * Hybrid working, three days in the office. * The chance to grow quickly in a newly established AI engineering capability. * Access to industry leading expertise, tooling and enterprise scale AI projects. How to Apply Please apply with your CV and a consultant ...

growing Data and AI function at a pivotal moment. You will play a key role in building production-ready AI systems, shaping engineering standards, and driving high-impact automation projects with direct influence on business performance. The Company They are a tech-led insurance provider with a strong … days a week in either London (South West) or Sheffield. * Clear impact on product performance and business outcomes. * Opportunities to shape an emerging AI engineering function. * Long-term career growth as the AI team scales. How to Apply Please apply with your CV to register your interest ...

drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. THE COMPANY: They are a technology-led insurance organisation. Their products are powered by a combination of smart … customers with diverse needs. With strong investment behind AI, they are entering a new phase of growth and building their first dedicated AI engineering team. Joining at this stage gives you the chance to influence technical strategy, architecture, and best-practice from day one. THE ROLE: Build ...

total package Bonus + cash benefits included Hybrid working model 3 days per week on site Market-leading training and certifications across AI, engineering and leadership A clear progression pathway into senior strategic and leadership roles Access to large-scale enterprise AI projects and next-gen tooling Innovation ...

Lead initial delivery phases to establish technical excellence and set engagements up for long-term success. You bring Hands-on AI expertise in AI Engineering, Agentic AI, or Data Science—you can architect solutions and review code Executive presence with technical depth – comfortable engaging C-suite and leading ...

degree in Computer Science, Engineering, Mathematics, Statistics, or a related STEM field. More than five years of advanced data science/AI engineering experience in industry. Proven experience delivering full-cycle AI software and deploying production-ready solutions. Strong proficiency in Python and core AI/… ability to provide strategic architectural guidance. Desired Skills and Experience: Experience in reliability, corrosion, WRFM (well and reservoir facility management), process engineering, or advanced sensing technologies. Exposure to downstream customer platforms and trading ERP systems. Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic. Familiarity ...

working on production grade LLM based applications Software Engineering - strong understanding of microservices architecture, CI/CD pipelines, event driven architecture AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Data engineering - scaled data pipelines using python ...

research, diligence, and portfolio monitoring Design and deploy end-to-end LLM applications including research copilots, RAG systems, workflow automation, data enrichment, and deal intelligence tooling Ingest, clean, and analyse external datasets through scripts, pipelines, and lightweight ML components Integrate third-party APIs, datasets, scraping frameworks, and internal systems … responsible use of AI systems Guide and coach the investment team on the latest tools, processes Skills and Experience: 5+ years in applied AI engineering, ML engineering, or forward deployed roles Strong Python Experience building and deploying LLM applications (OpenAI, Anthropic, Gemini, etc.) Deep familiarity with ...

upsell opportunities, driving revenue growth and expanding market share. Platform engineering, microservices, reusable AI components, ontologies, knowledge graph engineering. Data and AI engineering, ML pipelines. Client analytics experience. AI-enhanced document and workflow automation on Cloud Enable agentic workflows, including automated processing of unstructured data … well as Gemini based skills, across client, product, and transaction lifecycles to improve responsiveness, operational efficiency, and control. GenAI/LLM capabilities, document intelligence, workflow automation, GCP migration expertise, CloudOps. ...

platform designed to help scientists interact with complex immunological data in a far more intuitive and powerful way. This is not just another AI engineering position. The tools you build will directly support research programmes contributing to novel treatments entering clinical trials. You will play a key role … Mentor engineers in LLM integration and software design patterns Build sophisticated function calling systems integrating LLMs with specialist computational tools Develop robust prompt engineering strategies for complex scientific applications Implement fine tuning pipelines and optimisation techniques for domain specific use cases Create comprehensive testing and monitoring frameworks ...

Engineer who will report to the Director of AI Engineering. This role will be a subject matter expert for applied AI within our Engineering organisation. This role suits a hands‐on team lead who builds and ships customer‐facing, production‐grade AI, solving complex problems, shaping long‐term … caching, token/latency budgets; SLOs (e.g., p95 latency, availability) The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred ...

prompts that boost our internal tools, speed up developer productivity and elevate the customer experience. You will work closely with Product, Operations, and Engineering teams to turn ideas into practical solutions and contribute to improvements across the platform. Key Responsibilities Build and deliver production‐ready AI and Generative … level of ownership from discovery through production and iterative improvement. The Interview Process Online interview with the Talent Partner and the Director of AI Engineering Technical interview with Director of AI Engineering, VP of Product Engineering, and VP of Product At Reward Gateway | Edenred ...

plus benefits. This is an exciting opportunity to join a fast-scaling data and machine learning function, working at the intersection of AI engineering, product innovation, and advanced analytics. You will help deliver customer-facing AI features, internal automation, and traditional ML models within a modern cloud environment. … business known for combining retail excellence with innovative digital products. Their data science and ML engineering teams power personalisation, automation, and business intelligence for a large amount of users. With strong investment, an ambitious product roadmap, and a culture that embraces experimentation, this is a place where ...

experience building production-grade LLM applications. Strong software engineering fundamentals, including microservices architecture, CI/CD pipelines, and event-driven architecture. AI Engineering experience including: RAG pipelines Prompt engineering Vertex AI LLMOps and monitoring/evaluation of AI systems Data Engineering experience ...

from chatbots and voice assistants to advanced retrieval-augmented generation (RAG) systems and agentic workflows. The Role You’ll work closely with the AI Engineering and Data Science teams to: Develop and prototype AI-driven solutions across customer-facing and internal applications. Build and optimise LLM-based assistants … pipelines , and agentic AI workflows . Collaborate on the architecture and deployment of scalable AI solutions (with support from engineering). Partner with stakeholders to translate business needs into practical, intelligent systems. Mentor junior team members and contribute to the evolution of our AI tooling stack. This role ...

integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans Own delivery quality: reliability, performance, observability, iteration Collaborate across engineering, data, operations, and product teams What they’re looking for 4-6+ years of industry experience Strong Python and SQL Hands-on GenAI … operating independently with real ownership Solid stakeholder management and ability to explain clearly to non-technical audiences DS background that has moved into AI engineering/LLM product delivery is ideal Bonus: Databricks, Azure, MLOps/CI-CD experience Interested? Please apply below. ...

2years+ working on production grade LLM based applications AgenticAI - Langgraph, ADK, CrewAI, multi-agent architectures - experience in building deployable solutions, not jupyter notebooks AI Engineering - RAG pipelines, prompt engineering, VertexAI experience, LLMOps and runtime evaluation/monitoring Nice to haves Responsible AI - strong understanding of AI ...

process, please let us know. Why This Role Matters Design and Innovate, Enable and Empower, Transform and Scale. This is more than an engineering role—it’s a strategic enabler. You’ll design and deploy advanced AI architectures, foster adoption through enablement programs, and act as a trusted … data governance. Preferred: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 1+ years of experience in AI engineering (in-house or consulting). Strategic mindset with ability to turn vision into actionable steps. Benefits and Perks Join us for a rewarding ...

AI team owns the full value chain from data engineering through to machine learning products. This role sits within a lean AI engineering function responsible for deploying production ML systems and scaling new GenAI capabilities across the business. This is a hands-on engineering … cloud-native ML infrastructure • Implement MLOps practices including CI/CD, monitoring and model lifecycle management • Work cross-functionally with product, data and engineering teams Key Details • Salary: up to £85k + 10% bonus • Working model: Hybrid London (2–3 days in office) • Tech stack: Python, GCP (preferred ...

grow and advance. Accentures 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 Accentures broader Strategy and Consulting practice, we are able to bring together the unique ability to drive … Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams and drive ...

London team. This role will include delivering customer centric solutions and scale production-grade AI solutions. You’ll be the technical authority for AI engineering, driving architecture, automation, whilst ensuring our AI platform is robust and transparent. Working closely with the Head of AI Labs, you’ll lead … code quality; Experience implementing and scaling vector databases (Pinecone, Weaviate, Milvus) for retrieval and reasoning workloads. Deep expertise in cloud‐native AI engineering on AWS, with Azure knowledge and ability to design distributed, fault‐tolerant systems. Nice-to-Haves: TypeScript a plus; SQL proficiency for data work. Bridges ...

Senior Manager - Insurance | AI Delivery Lead Engineering, AI & Data - Technology & Transformation Location: London or Manchester - salary will vary Contract Type: Permanent About the Opportunity A leading global consultancy is seeking a Senior Manager - AI Delivery Lead to support major clients in the insurance sector. This is a chance … Kanban. Data visualisation and insight storytelling skills. Programming experience (Python, Java, C#, etc.). About the Team You'll be part of an AI, Engineering & Data function focused on helping organisations reinvent their core operations. The team delivers large-scale transformations that unlock growth and improve outcomes ...

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 … Knowledge of customer service metrics such as CSAT, churn prediction, and operational KPIs. Prior experience with conversational analytics or BI Knowledge of prompt engineering and model evaluation techniques Ability to translate complex business requirements into scalable AI-powered solutions. Proven ability to manage cross-functional teams and drive ...