26 to 50 of 713 LLM Jobs in the UK

tooling in a language such as Python, Go, Java, TypeScript, or similar. Comfortable using modern AI-assisted engineering workflows, including agentic coding tools and LLM-based automation. Familiarity with concepts such as MCP servers, tool-calling, RAG/vector search, embeddings, and AI-assisted platform operations. Working knowledge of databases ...

solutions across multiple business domains. What You’ll Do Design and build agentic AI workflows and retrieval systems Develop AI-powered features using modern LLM frameworks Integrate LLMs into real-world applications and APIs Build and optimize RAG pipelines and vector search solutions Design evaluation, monitoring, and observability frameworks ...

infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that ...

what we build actually matters. Key objectives Research and develop multimodal AI technologies that improve the way people work with sound Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases Identify opportunities to apply the latest advances in generative ...

solutions, and position Uniphore as the trusted partner to address them. Deliver compelling technical presentations and demos showcasing GenAI, Agentic AI, RAG, and LLM-based capabilities tailored to each prospect’s context. Build and deliver custom demos and proof-of-concepts (POCs) to validate business value and technical feasibility. Conduct ...

Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards. Responsibilities Design and implement Onsera's agentic AI platform – architect LLM/agent framework selection, standardized patterns for tools, memory, guardrails, evaluation, and observability Define MLOps protocols for agentic systems – environment separation, versioning of prompts, tools ...

collaboration, and accountability for outcomes. The Role and Deliverables Design, build, and maintain production-grade AI-enabled applications consuming standardised GenAI services such as LLM-based capabilities, RAG, summarisation, and classification. Develop cloud-native microservice or full-stack applications using API-led architectures. Integrate AI capabilities securely and reliably ...

design, build and own end-to-end technical delivery — from requirements gathering through to deployment and ongoing support Hands-on experience with AI/LLM integration (OpenAI, Azure OpenAI), RAG pipelines, or agentic frameworks is a key requirement Will provide technical leadership and mentoring to junior engineers and actively participate ...

technical leaders in the sector, helping design, develop and deploy production-grade AI solutions. Key responsibilities include: Building and deploying Machine Learning and LLM-powered applications Developing Retrieval-Augmented Generation (RAG) solutions Evaluating model performance and addressing failure modes Testing, troubleshooting and improving AI systems Working closely with software ...

structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This ...

pipelines aligned to business strategy Implementing robust MLOps processes (CI/CD, model deployment, monitoring, governance) Delivering ML solutions for complex NLP and LLM use cases, including large-scale document processing Collaborating closely with Data Scientists to support model development, fine-tuning, and lifecycle management Supporting data integration ...

audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands ...

systems, integrate with existing platforms, and move quickly from problem definition to working software. What you’ll be working on: Agentic AI workflow automation LLM-powered applications RAG and knowledge systems Vector database architecture and retrieval pipelines Document intelligence and information extraction AI systems that connect into business workflows ...

Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have – AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. ...

principles Feature flags, dark launching or similar release techniques AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code or similar Exposure to LLM-powered agents, APIs or pipelines using tools such as OpenAI, Anthropic, LangChain or similar Why consider it? This is a chance to join a growing ...

equivalent infrastructure-as-code tooling. Familiarity with statistical, ML or AI concepts, and ideally with building data layers that feed RAG pipelines, agents, or LLM-based applications. Comfort with vector databases, embeddings or semantic search is a plus. Working knowledge of Google's marketing stack: Google Analytics, Google Tag Manager ...

software engineering with significant customer-facing exposure Bachelor's degree in Computer Science or related field Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures ...

experience (Docker or similar) and orchestration (e.g. with kubernetes) Experience processing of biological archive data Tests and CI/CD Curiosity or experience with LLM APIs, agent frameworks, MCP, or retrieval-augmented systems - we are actively building in this space and welcome enthusiasm here even without prior production experience Contract ...

translate data labelling methodologies into scalable product functionality. * Design and implement annotation workflows, task allocation systems and evaluation tooling. * Integrate and orchestrate multiple LLM providers and AI APIs. * Own and maintain cloud infrastructure and deployment pipelines. * Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

translate data labelling methodologies into scalable product functionality.* Design and implement annotation workflows, task allocation systems and evaluation tooling.* Integrate and orchestrate multiple LLM providers and AI APIs.* Own and maintain cloud infrastructure and deployment pipelines.* Manage infrastructure using Terraform on Google Cloud Platform (GCP), including Cloud Run and Cloud ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

Extensive experience (10+ years) in senior technology leadership roles within digitally enabled, platform-driven, or media-led environments Hands-on experience with AI and LLM platforms (e.g. Claude, GPT), including an understanding of capabilities, trade-offs, and enterprise adoption Working knowledge of Model Context Protocol (MCP) and agentic AI architectures ...

z2bz0 years of software engineering experience Strong experience with cloud-native systems (APIs, microservices, containers, serverless) Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration) Proficiency in Python, Java, or similar backend languages Experience with: CI/CD pipelines Infrastructure as code Monitoring and observability ...

global organisation building cutting-edge AI solutions at scale. We are looking for candidates who have hands-on experience building and deploying real-world LLM and agentic AI systems into production environments — not just prototypes. Key experience required: • Python and production-grade coding • LLMs, AI Agents & Agentic Workflows • LangChain/ ...

design of end-to-end digital solutions, mapping underlying capabilities to ensure alignment with architecture standards and pattern sArchitect AI-enabled solutions incorporating LLM-based assistants, multi-agent orchestration, Retrieval Augmented Generation (RAG), and vector searc hPerform rapid prototyping and technical feasibility assessments to prove the value of new propositions ...