22 of 22 LangGraph Jobs in the Thames Valley

Functions team. You will be expected to: Build Agentic AI and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data More ❯

collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in the application of AI in public services. Desirable: Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI). Familiarity with AI observability tools (TruLens, Helicone). Awareness of AI safety and reliability frameworks (Guardrails AI). Experience working in government or public sector digital projects More ❯

regulated envioronments Excellend communication and stakeholder management skills Bonus Points: Advanced degree in life sciences, computer science, or a related field Experience with Agentic AI frameworks and tools (e.g., LangGraph, CrewAI, AutoGen) Familiarity with cloud native-AI infrastructure (e.g., Azure ML, AWS Bedrock, Snowflake) Prior experience in building AI products for clinical development or healthcare analytics RDSITAI IQVIA is a More ❯

or persona-based evaluations. Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen), Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products. Research experience (e.g., Master’s project, internship at More ❯

be part of a small, high-trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments More ❯

be part of a small, high-trust team solving big, bold problems. What You’ll Get to Work On Designing and building multi-agent AI architectures using frameworks like LangGraph (or similar) Integrating LLMs and NLP models into workflows for reasoning, automation, and search Leading ML pipeline development , from ingestion to real-time inference Deploying to cloud and edge environments More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

experience in AI/ML Expert in NLP and BERT based Transformer models Developed applications using latest LLMs (Anthropic, META, Google, Mistral etc) Experience with multi agent orchestration frameworks (LangGraph, LangChain, MCP, CrewAI etc) Experience in end2end development and deployment of ML models Able to be SC cleared - Must hold British passport (we have MoD projects) There are also some More ❯

/model deployments using Kubernetes, Terraform, and CI/CD pipelines. Building and managing vector databases and retrieval systems to support RAG pipelines. Working with LLM frameworks like LangChain , LangGraph , CrewAI , or similar tools. Partnering closely with engineering, security, and product teams to deliver safe, production-ready AI systems. What They’re Looking For: Strong background in Software or Platform More ❯

GitHub). Preferred Qualifications Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent-based approaches (e.g. LangGraph, PydanticAI, AutoGen). Prior experience conducting user research for AI applications. Knowledge of AI/ML evaluation and benchmarking approaches, including safety and robustness evaluations. Web-based front end development More ❯

AI/ML techniques, including reinforcement learning, LLM agents, and simulations Proficient in Python and Infrastructure as Code for cloud environments Familiarity with AI orchestration platforms like LangChain and LangGraph, AutoGen, CrewAI, or similar Experience supporting pre-sales in consultancy or product environments Systems thinker able to architect complex AI-integrated enterprise solutions Bonus: Experience with Microsoft Copilot Agents and More ❯

What You’ll Do Design, implement, and ship production-grade LLM applications (prompting, RAG, evaluation, deployment). Develop and refine AI pipelines and retrieval systems using tools like LangChain, LangGraph, or custom frameworks. Own model evaluation frameworks to ensure quality, factuality, and performance across real-world workloads. Collaborate closely with the founding engineering team to build scalable infrastructure for AI More ❯

end-to-end while also helping shape the company’s broader AI strategy. You Will: Design and build production-ready GenAI applications using LLMs and multi-agent frameworks (e.g., LangGraph, CrewAI, AutoGen). Collaborate with stakeholders across departments to identify high-impact AI use cases, translate requirements, and deliver solutions that align with business goals. Develop and fine-tune LLMs … learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms: Google Vertex AI, AWS SageMaker, or Azure AI. Knowledge of AI security, model More ❯

who can explain technical concepts to non-technical stakeholders. Awareness of the ethical and safety considerations in deploying AI systems. Desirable: Experience with agentic AI frameworks (e.g. AutoGPT, CrewAI, LangGraph, ReAct). Background in conversational design, human-AI interaction, or reinforcement learning. Familiarity with RAG, vector databases, or simulation environments. More ❯

AI Engineer (LangGraph Expert) Salary: £90k - £130k + Equity + Bonus Location: Remote/Hybrid in London We’re looking for a brilliant AI Engineer who’s passionate about building intelligent, agentic systems using LangGraph. If you thrive at the intersection of LLMs, automation, and complex system design, this is your chance to shape the next generation of AI infrastructure. … What You’ll Do Design, implement, and optimize LangGraph-based AI workflows and multi-agent systems Integrate LLMs, APIs, and data pipelines into production-ready solutions Build scalable, maintainable AI applications with structured memory, tools, and dynamic reasoning paths Collaborate with cross-functional teams — from data scientists to product engineers — to bring cutting-edge AI features to life Continuously research … and prototype new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices More ❯

adept at orchestrating sophisticated LLM workflows and managing scalable, secure cloud and edge environments. Why Join? Pioneering Work: Lead the charge on complex multi-agent systems using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership: Own the entire lifecycle, from research and design in a Jupyter Notebook to robust, automated deployment via CI/CD … Actions and Kubernetes (EKS) for both cloud and edge environments. The Essential Requirements MOD Security Clearance (or ability to obtain). Proven commercial delivery of agentic AI projects using LangGraph or equivalent frameworks with more than four agents in production. Strong multi-agent orchestration skills, including memory and tool integration. Expertise in Python for AI development and proficiency in Bash … V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo More ❯

adept at orchestrating sophisticated LLM workflows and managing scalable, secure cloud and edge environments. Why Join? Pioneering Work: Lead the charge on complex multi-agent systems using frameworks like LangGraph, pushing the boundaries of applied AI in production. Full Ownership: Own the entire lifecycle, from research and design in a Jupyter Notebook to robust, automated deployment via CI/CD … Actions and Kubernetes (EKS) for both cloud and edge environments. The Essential Requirements MOD Security Clearance (or ability to obtain). Proven commercial delivery of agentic AI projects using LangGraph or equivalent frameworks with more than four agents in production. Strong multi-agent orchestration skills, including memory and tool integration. Expertise in Python for AI development and proficiency in Bash … V. We operate as a staffing agency and employment business. More information can be found at attisglobal.com. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo More ❯

vector-based knowledge retrieval Collaborate with investment teams and data scientists to identify and scope high-impact use cases Implement and orchestrate multi-agent systems using frameworks such as LangGraph or similar tools Develop pipelines and interfaces for prompt engineering, context injection, and fine-tuned workflows Build internal demos and proof-of-concepts for investment research, market commentary, and portfolio …/ML, data engineering, or automation use cases Experience working with or building applications around large language models (open-source or commercial) Familiarity with LLM agents, orchestration frameworks (e.g. LangGraph, LangChain), and context management Experience with cloud platforms (AWS preferred) and associated services for AI workloads A background in software engineering or data science, ideally in a research-driven or More ❯

Job Title: Prompt Engineer/AI Engineer Location: London About GIMO: Global Interactive Marketing Online (GIMO) Global Interactive Marketing Online (GIMO) is a London-based leading independent marketing agency and software developer within the iGaming industry. GIMO works in close More ❯

Clearance Job description We are looking for a Senior Full Stack AI Engineer with strong hands-on experience in building advanced multi agent AI systems using frameworks such as LangGraph or similar. You will be responsible for designing, developing and optimising AI pipelines that bring intelligent agent based systems to life, from research through to real world deployment. This includes … into reliable, production ready systems that perform well even in challenging or resource limited environments. Required Skills & Experience MOD Security Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash More ❯

Clearance Job description We are looking for a Senior Full Stack AI Engineer with strong hands-on experience in building advanced multi agent AI systems using frameworks such as LangGraph or similar. You will be responsible for designing, developing and optimising AI pipelines that bring intelligent agent based systems to life, from research through to real world deployment. This includes … into reliable, production ready systems that perform well even in challenging or resource limited environments. Required Skills & Experience MOD Security Clearance (or ability to obtain). Commercial experience delivering LangGraph or equivalent agentic AI projects with more than four agents in production. Strong grasp of multi-agent orchestration, memory, and tool integration. Proficiency in Python for AI development and Bash More ❯

Chroma, FAISS, Milvus) with sensitive document ingestion pipelines - Host and optimise LLMs using vLLM/TGI on local GPU clusters without internet connectivity - Implement agent orchestration using LangChain/LangGraph in completely offline environments - Design secure document processing for classified materials with appropriate data sanitisation - Build monitoring and evaluation systems that operate within air-gapped infrastructure Essential Requirements - Active SC … Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration: LangChain, LangGraph for agents Hosting: vLLM, TGI, Ollama on bare metal/private cloud Infrastructure: Air-gapped Kubernetes, local container registries Desirable Skills - Experience with defence/government IT security protocols - Knowledge More ❯