126 to 150 of 159 Artificial Intelligence Engineering Jobs in England

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 ...

Collaborating with engineering, product, and operations teams to take roadmap concepts into production Your Skills and Experience * Strong commercial experience in AI engineering or software engineering with a focus on LLMs and production AI systems * Expertise in deploying AI models and agents at scale … including RAG, embeddings, and LLM tooling * Hands-on cloud engineering experience, ideally in GCP and its AI ecosystem * Strong Python engineering ability and experience building production-grade services * Experience working with vector search, data ingestion, observability, and experimentation frameworks * A STEM background or equivalent technical capability ...

AI/ML platform capabilities, and drive seamless integration with core enterprise systems. The ideal candidate combines deep cloud architecture expertise, strong data engineering and AI/ML platform experience, and the ability to translate complex business needs into robust, future-ready technical solutions. Location: London Contract: Until … with enterprise standards. Support capacity planning, cost optimization, and risk assessments. Required Skills & Experience: 8-12+ years of experience in data/AI engineering or cloud architecture roles. Strong expertise with Databricks (Delta Lake, Unity Catalog, MLflow, Workflows). Deep understanding of AWS cloud architecture and services ...

accurate, and auditable outputs from LLM systems operating in a regulated life sciences environment. The successful candidate will work at the intersection of AI engineering, retrieval systems, and domain collaboration, ensuring model outputs are reliable, measurable, and production-ready. Key Responsibilities Prompt & Instruction Engineering Design system … skills Highly Desirable Experience in life sciences, pharma, or regulated environments Familiarity with vector databases and retrieval pipelines Experience working with ML/AI engineering teams in production settings Understanding of governance requirements in regulated industries ...

Multi-agent orchestration Retrieval-augmented workflows LangChain, LlamaIndex, or similar agent toolkits Evaluation, monitoring, and safety Best practices for productionising agentic systems Advising engineering teams during hands … sessions Helping define capability uplift and internal AI maturity Providing guidance around responsible & safe AI use Required Experience 5+ years in Software/AI Engineering Strong hands-on experience with: Python LLM orchestration frameworks (LangChain, OpenAI Agents, CrewAI, Haystack, etc.) Agentic AI design and deployment RAG, vector stores ...

into sequenced delivery plans, ensuring Generative AI initiatives are executed with pace, clarity, and production readiness. You'll sit at the intersection of AI engineering, platform, and product-providing disciplined execution oversight, structured QA visibility, and evidence-based release governance. Key duties in this dynamic role will include … signals to support informed go/no-go decisions. Ensure releases meet robustness, compliance, and regulatory standards. Act as the connective layer between engineering execution, quality oversight, and senior stakeholders. Required Experience Strong background in technical delivery leadership within engineering-led environments. Proven experience delivering complex ...

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 … operate always-on enterprises. Build essential data platforms, products, and capabilities that empower clients and colleagues. Set and implement the strategic vision for Applied Intelligence’s data ecosystem, including data science and engineering. Assess generative AI proposals, ensuring alignment with client needs, evaluating feasibility, stack compatibility, and build ...

ready AI systems for large enterprise clients. You will take a leading technical role in shaping high-impact solutions, working within a collaborative engineering team and a culture that prioritises learning and technical excellence. The Company They are a specialist Data and AI consultancy operating across … tech agnostic approach and support continuous development through structured learning initiatives and dedicated training budgets. The Role Act as the technical lead on AI engineering projects, guiding design and implementation. Work hands on across data, software and platform components to deliver production-ready solutions. Engage directly with enterprise ...

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 to drive … reality for clients looking to better serve their connected customers and operate always-on enterprises. Become an integral part of our Applied Intelligence team with the credibility, expertise and insight clients depend on. Be working with famous brands and household names – no worrying about how to explain what ...