251 to 275 of 713 LLM Jobs in the UK

Offensive Security Engineer - LLM & Penetration Testing - BANKING CLIENT - LONDON Location: London - Hybrid (8 days onsite per month) Contract: 12 months (initial) Day Rate: Competitive, depending on experience 500 - 800 per day IR35 Status: Inside IR35 - MUST USE UMBRELLA The Opportunity We are looking for a hands-on AI Offensive Security … improve testing capabilities. Essential Skills & Experience We are particularly interested in candidates who combine strong offensive security fundamentals with practical experience using AI or LLM technologies. Minimum 3 years' experience in Application Security, Penetration Testing, Offensive Security or Security Engineering. Strong hands-on experience with SAST, DAST, vulnerability assessments ...

research tools and frameworks. Understanding of operating systems, networks and system architecture. Reverse engineering. Nice to Have Experience researching AI, machine learning or large language model security risks. Experience turning research ideas into working prototypes, tools or customer-facing demonstrations. Ability to explain technical findings to both specialist ...

industry forums) Good combination of creative and analytical skills, able to deliver complex documents and "connect the dots". Might haves: Experience in AI (LLM) security, guardails, DLP, understanding of risk such as Prompt Injection and Model Poisioning etc. Good understanding of Telecoms Security Act requirements, contained with the Code ...

coding tools, testing different approaches, debugging and improving the result. You can show us something you’ve built with Claude, Codex, ChatGPT or another LLM platform, at work or in your own time.You have sound technical judgementYou can reason about systems, APIs, data flows, permissions and failure modes. You understand ...

engineering opportunities focused on building core services, features and capabilities for an enterprise-grade AI platform. You'll combine strong Python backend development with LLM integration, AWS cloud technologies and DevOps, working alongside experienced AI engineers, architects and platform specialists to deliver secure, scalable, production-ready AI applications. The role … Designing and developing Python backend services and APIs using FastAPI Building Generative AI, Agentic AI and LLM-powered applications Developing RAG architectures, prompt orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing ...

engineering opportunities focused on building core services, features and capabilities for an enterprise-grade AI platform. You'll combine strong Python backend development with LLM integration, AWS cloud technologies and DevOps, working alongside experienced AI engineers, architects and platform specialists to deliver secure, scalable, production-ready AI applications. The role … Designing and developing Python backend services and APIs using FastAPI Building Generative AI, Agentic AI and LLM-powered applications Developing RAG architectures, prompt orchestration and AI evaluation tooling Integrating LLMs with enterprise applications and business workflows Working with AWS services including Bedrock, AgentCore, EKS, EC2, S3 and SQS Designing ...

into the opportunity and guidance at every stage. The Opportunity: 167Solutions is partnering with a leading global organisation to recruit an experienced AI/LLM Engineer for an exciting new Generative AI Innovation Lab. This is a unique opportunity to join a small, highly skilled team at the forefront … generative AI can transform digital products, content experiences and customer engagement. You'll play a key role in building, fine-tuning and deploying LLM-powered systems, with a particular focus on tone and style alignment, retrieval-augmented generation (RAG), and multimodal AI, including audio and voice technologies. This ...

environment. This is a hands-on role requiring experience building production-ready GenAI applications rather than proof-of-concept solutions. You will work across LLM architecture, RAG frameworks, document intelligence, vector search, and AWS cloud-native AI services. Key Responsibilities Design and implement production-scale GenAI and LLM-powered solutions. … support CI/CD deployment pipelines. Essential Experience Generative AI & LLMs Proven experience designing and deploying production GenAI solutions. Experience building end-to-end LLM pipelines processing real customer documents at scale. Strong understanding of hallucination detection, output validation, confidence scoring, and model evaluation. RAG Architecture Experience designing Retrieval Augmented ...

Scientists. Strong hands-on AI/ML engineering background, with advanced Python skills and experience developing production-grade AI systems. Experience designing and building LLM-powered and agentic AI applications, including RAG, NLP and traditional machine learning solutions. Practical experience with modern agent frameworks such as LangGraph, Strands Agents … including multi-agent orchestration, agent memory, MCP-based tool integration and agentic RAG. Strong NLP expertise, including semantic search, summarisation, information extraction, classification or LLM fine-tuning. Experience developing shared AI platforms, internal MCP servers or reusable AI capabilities used by multiple engineering teams. Knowledge of vector search technologies such ...

improving agent performance and exploring new technologies to support the organisation's wider AI strategy. ESSENTIAL SKILLS Hands-on experience developing AI agents or LLM-powered applications Strong understanding of Generative AI, prompt engineering and RAG Experience with Python, SQL and API integrations Knowledge of cloud platforms, ideally Microsoft Azure … submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Engineer, Agentic AI, Generative AI, LLM, Large Language Models, Python, SQL, RAG, Prompt Engineering, Azure, APIs, AI Agents, LangChain, LangGraph, Claude, MCP, AI Automation ...

production deployment, monitoring and optimisation. Build predictive models for pricing, demand forecasting, customer propensity, personalisation and recommendation systems. Develop and implement GenAI and LLM-powered solutions to improve business processes and customer experiences. Apply MLOps best practices to ensure models remain scalable, reliable and effective in production. Partner with stakeholders … building, deploying and maintaining machine learning models in production. Strong understanding of MLOps, model monitoring, statistical modelling and experimentation. Practical experience developing GenAI/LLM applications. Experience with cloud-based ML platforms, ideally GCP/Vertex AI. Familiarity with Docker, Git, CI/CD and software engineering best practices. Strong ...

Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings … handling, retries, recovery, observability, security and performance optimisation. Required Expereince: Strong, hands-on Python software engineering experience. Proven experience delivering production-grade GenAI and LLM applications. Practical experience designing and implementing Agentic AI workflows using LangGraph. Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search. Experience with ...

Design and build multi-step agent workflows using LangGraph, including tool calling, state management, routing and human-in-the-loop controls. GenAI & LLMs: Develop LLM-powered applications using Python, prompt engineering, structured outputs and context management. RAG & Knowledge Retrieval: Build end-to-end RAG pipelines covering document ingestion, chunking, embeddings … handling, retries, recovery, observability, security and performance optimisation. Required Expereince: Strong, hands-on Python software engineering experience. Proven experience delivering production-grade GenAI and LLM applications. Practical experience designing and implementing Agentic AI workflows using LangGraph. Strong RAG architecture knowledge, including embeddings, chunking and semantic/hybrid search. Experience with ...

existing solutions while helping bring new AI capabilities into production. Key Responsibilities - Design, build and optimise production-grade AI platforms, RAG pipelines and LLM integrations. - Develop scalable cloud-native services and backend infrastructure using Microsoft Azure. - Improve the performance, reliability and latency of AI applications and retrieval workflows. - Manage infrastructure … scalability, reliability and performance. Desirable Experience - Building or supporting production AI applications using LLMs and RAG. - Experience with embedding models, vector search and LLM orchestration. - Familiarity with observability tooling such as OpenTelemetry. - Experience taking AI prototypes and proof-of-concepts into production. The Ideal Candidate A proactive engineer with ...

existing solutions while helping bring new AI capabilities into production. Key Responsibilities - Design, build and optimise production-grade AI platforms, RAG pipelines and LLM integrations. - Develop scalable cloud-native services and backend infrastructure using Microsoft Azure. - Improve the performance, reliability and latency of AI applications and retrieval workflows. - Manage infrastructure … scalability, reliability and performance. Desirable Experience - Building or supporting production AI applications using LLMs and RAG. - Experience with embedding models, vector search and LLM orchestration. - Familiarity with observability tooling such as OpenTelemetry. - Experience taking AI prototypes and proof-of-concepts into production. The Ideal Candidate A proactive engineer with ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency … Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience ...

SENIOR AI ENGINEER Salary up to £100,000 On-site in Manchester city centre Python, Generative AI, RAG, LLMs, Agentic AI, Azure Opportunity to develop production-grade AI solutions Senior hands-on role with technical ...

team of AI Developers delivering enterprise-grade Generative and Agentic AI solutions Designing and developing Python and Java services, APIs and AI components Building LLM integrations, RAG architectures and agent-based workflows Developing prompt orchestration, output validation and AI evaluation capabilities Working with AWS services including Bedrock, AgentCore … good mix of: Strong Python, Java and FastAPI development experience Generative AI, Agentic AI and Large Language Models RAG architectures, prompt orchestration and LLM integration AWS cloud engineering, particularly Bedrock and AgentCore CI/CD, DevOps and engineering automation RESTful APIs, microservices and distributed systems Technical leadership and mentoring Experience ...

Chief Security Office from rule-based to AI-driven operation. It owns AI architecture and AI engineering end to end: the agent layer, LLM orchestration, the AI and ML platform, and the data fabric pipeline that CAS designs, builds and tests before a managed service vendor operates it. The team … software engineering with a relevant technical degree - domain focus: AI Engineering (AI platform and data fabric workstreams) Configuring AI platform environments and supporting LLM, agent and RAG pipeline builds - environment setup, embedding and vector index jobs, and evaluation runs Building and running test cases for AI components - prompt-injection, output ...

AI Solutions Engineer Our client is seeking a hands-on AI Solutions Engineer to design, build, deploy and support production-grade AI solutions within a complex professional services environment. This is a practical engineering role ...

concept role. You'll be focused on designing, building and deploying AI applications that solve genuine business problems and deliver measurable value. From LLM-powered applications and RAG solutions to intelligent automation and machine learning systems, you'll be working on projects that are used in production and trusted … range of enterprise AI initiatives, helping clients turn emerging AI capabilities into scalable, production-ready solutions. What You'll Be Doing Building and deploying LLM-based applications and Generative AI solutions Designing and developing production-ready RAG solutions Creating scalable data pipelines and AI-powered services Applying software engineering best ...

Senior Data Scientist - Python/Machine Learning Permanent Location: UK - Remote Salary: £65,000 - £70,000 (+ benefits) Skills: Python, Machine Learning, Statistical Modelling, AWS, Data Engineering An exciting opportunity has arisen for an experienced ...

Senior React & Node Developer (AI & Full Stack) Location: London (Hybrid - 3 days per week) Salary: £65,000 - £75,000 Job Type: Permanent Please note: Applicants must have the right to work in the UK. Unfortunately ...