901 to 925 of 2,226 LLM Jobs in the UK

product owners, clients, or operational users to understand real workflows, constraints, data quality issues, and adoption barriers, then translate these into working technical solutions. LLM and agent engineering: Build and tune LLM workflows, prompt strategies, schema-driven extraction, tool-calling patterns, agent orchestration, evaluation loops, and human-in-the-loop … agents, tool orchestration, reasoning workflows, Model Context Protocol (MCP), and enterprise-scale automation use cases. Hands-on experience building AI-enabled systems, such as LLM pipelines, document extraction, structured output generation, AI-assisted analytics, prediction interfaces, or agentic workflows. Experience working with business-critical systems where reliability, maintainability, operational support ...

YOUR ROLE This is a high impact role in the Cloud Advisory capability unit contributing to our leadership in cloud transformation across our clients in different industry sectors. As a Consultant/Senior Consultant – Cloud ...

CAPGEMINI INVENTAt Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation ...

operationalize Comply’s semantic layer — turning the ontological models defined by our ontologist and architects into working knowledge graphs, vector search infrastructure, and LLM‐powered pipelines. This is a hands‐on engineering role at the intersection of knowledge representation, AI infrastructure, and data platform engineering. You will own the delivery … data in vector space. Build and operate vector database infrastructure for semantic search and similarity retrieval. Implement RAG (Retrieval‐Augmented Generation) architectures that ground LLM outputs in Comply’s proprietary data. Evaluate and integrate LLM tooling and frameworks appropriate to Comply’s use cases. Build reliable, observable data pipelines that ...

living specification and a single source of truth for product and architectural knowledge in software-building organizations. Задачи Design and build ML/LLM solutions for data ingestion, knowledge extraction, retrieval, and reasoning; Create datasets, metrics, and pipelines that drive measurable system improvements; Architect and improve agents for context retrieval … five years of experience in ML/AI systems, including at least two years focused on LLMs and generative AI; Deep understanding of the LLM ecosystem, including model architectures and fine-tuning approaches; Hands-on experience with prompt engineering and LLM pipeline design, including evaluation; Experience with agentic frameworks such ...

patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced technical methods and industry-aligned product development practice Advise cross-functional teams on technological matters … Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software ...

patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced technical methods and industry-aligned product development practice Advise cross-functional teams on technological matters … Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software ...

patterns leveraged across teams Design and govern agentic AI systems, including multi-agent workflows and human-in-the-loop controls Establish engineering standards for LLM-based applications, ensuring safety and reproducibility Drive adoption of advanced technical methods and industry-aligned product development practice Advise cross-functional teams on technological matters … Practical experience delivering system design, application development, testing, and operational stability at enterprise scale Experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures in regulated environments Proficiency in one or more programming languages, particularly Python and/or PySpark Advanced knowledge of software ...

player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools. Responsibilities Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using ...

able to produce the documentation that goes with it. . Requirements Essential 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production … experts in customs and not in AI. Professional fluency in English. Desirable Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop review design. This is the single strongest signal we look for and we will weight it heavily. ...

able to produce the documentation that goes with it. Requirements Essential 1-2 years AI engineering, software engineering or intelligent automation, including LLM or AI features that real users depended on. Strong Python and SQL, with production code ownership. Not familiarity. Demonstrable experience integrating large language models into production systems … experts in customs and not in AI. Professional fluency in English. Desirable Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop review design. This is the single strongest signal we look for and we will weight it heavily. ...

execution, quality, pace, maintainability and cost discipline. Ship production data science and AI systems Design, build and review data science solutions across NLP, LLM workflows, machine learning, SQL and large‐scale content processing. Own technical design and architecture for data‐science‐enabled applications, ensuring solutions are maintainable, supportable, observable … that team. Reporting to the CTO, you will lead a team working at the frontier of applied AI and data science, combining production LLM workflows, advanced prompting, agentic tooling, NLP, ML and large‐scale content processing. You will set its direction, raise its delivery bar, grow its people through hands ...

systems, including multi-agent workflows, tool-use integrations, and human-in-the-loop controls appropriate for regulated financial services environmentsEstablishes engineering standards for LLM-based applications — RAG pipelines, embedding workflows, vector store integrations, and model serving — ensuring safety, observability, and reproducibility at scaleDrives adoption of advanced technical methods and practices … experience delivering system design, application development, testing, and operational stability at enterprise scaleHands-on experience designing and deploying production AI/ML systems, including LLM-based applications and agentic architectures with tool use, memory, and multi-step reasoning in regulated environmentsExpert in one or more programming languages, particularly Python ...

This Role Matters: Enterprises are raising the bar. AI initiatives must deliver business value—not just promise potential. That means taking cutting-edge LLM capabilities and turning them into resilient, secure, and scalable software. As a Senior Forward Deployed Software Engineer (FDSE), you act as the CTO of the build … owning everything from backend services to LLM pipelines and front-end integrations. You partner with customers in the field to design, implement, and deliver solution-ready builds in agile sprints. Your software becomes the reference implementation for scalable GenAI in the enterprise. You codify patterns, shape internal tooling, and accelerate ...

About us We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey ...

AI Engineer - London - Hybrid 3 days PW in the office - Salaries in the region of £70,000 - £90,000 depending on skills & experience - J13167 We are seeking an AI Engineer to design, build, and deploy ...

About the job you're consideringAs a Salesforce AI Engineer, you'll design, build and ship AI features on the Salesforce platform for some of the world's leading organisations. Working across industries including Consumer ...

# Salesforce AI EngineerBirmingham, Bristol, Cardiff Capital Tower, London, Manchester, WokingApply for this job* Permanent* Experienced Professionals* Software Engineering* ID 520087-en\_GB## **About the job you're considering**As a Salesforce AI Engineer, you ...

hackajob is partnering directly with BlackRock to hire for this role. About this role At BlackRock, technology underpins everything we do. AI is a core strategic priority for the firm, embedded across Aladdin and our ...

understand how users will interact with AI-powered products before committing to full builds AI Quality & Data• Use the team's AI evaluation framework (LLM-as-judge protocols, quality thresholds, SME eval cycles) to validate and improve the products you ship Contribute to the data strategy for your product area … FinTech or B2B SaaS, with at least 2 years focused on ML or GenAI products Working knowledge of RAG architectures, embeddings, prompt engineering, and LLM evaluation methods (not just "AI concepts" at a high level) Experience shipping AI products where output quality is probabilistic: you know how to define "good ...

AI/ML Engineer (Contract) London Fully Remote Outside IR35 £400 - £500 Per Day 3 months long initially, may extended. The Company They are a well-established consumer goods business with a strong international presence ...

AI Engineer - London - Hybrid 3 days PW in the office - Salaries in the region of £70,000 - £90,000 depending on skills & experience - J13167 We are seeking an AI Engineer to design, build, and deploy ...

Company Description At IFS, we're building the next generation of AI-native enterprise software, transforming how some of the world's largest organisations manage assets, operations and critical services. This is an opportunity to ...

hackajob is partnering directly with BlackRock to hire for this role. About this role Vice President, AI-Enabled Product Engineer Aladdin, Investments & Trading Engineering Location: Edinburgh About the Role BlackRock is seeking a Vice President ...

Integrate backend services with databases (relational and NoSQL), messaging/event systems, and third-party APIs. Build, extend, and operate agentic AI workflows — integrating LLM-based agents and tools into backend systems for automation, orchestration, and decision support. Support CI/CD pipelines, containerised deployments, and cloud infrastructure (AWS/… Testing: JUnit, Mockito, TDD/BDD, Cucumber Build & CI/CD: Maven/Gradle, Git, Jenkins/GitHub Actions/GitLab CI Understanding of LLM agent architectures : reasoning loops, tool-use, planning, and memory patterns. Hands-on experience (or strong aptitude to learn) building or integrating agents using frameworks such ...