51 to 75 of 96 LangGraph Jobs in the UK

learning, or causal inference Experience with AI governance, model risk management, and regulatory compliance Experience using Pro code and Low code tools such as LangGraph, AutoGen, Semantic Kernal and MS CoPilot Experience in any of the following: Finance Forecasting: Revenue prediction, cashflow modelling, financial planning, risk modelling Energy Optimization: Load ...

represent the lab's technical direction in governance forums. Beneficial Skills: Experience with Vertex AI or other model lifecycle tooling. Familiarity with LangChain/LangGraph and AI workflow orchestration. Experience in multi-cloud environments and understanding of enterprise integration. Working Pattern: Enjoy a hybrid work style-spend at least ...

implementing RAG architectures, vector databases, knowledge graphs, and prompt engineering techniques Experience building multi-step LLM workflows and agentic systems, whether via frameworks (e.g. LangGraph, Strands, Agent SDKs) or custom implementations Strong Python proficiency with production API/service development experience and cloud platform knowledge (AWS, GCP, or Azure) Solid ...

systems (secondary focus) Rapid Iteration: Demonstrated ability to prototype quickly and iterate based on feedback AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred ...

develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform … equivalent Frontend Development: Experience in building React applications using TypeScript, 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 ...

develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform … equivalent Frontend Development: Experience in building React applications using TypeScript, 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 ...

EventBridge) Experience designing reliable, maintainable systems for teams (not just individual contributor features) Hands-on experience with agentic AI systems, LLM orchestration frameworks (LangGraph, CrewAI, etc.), or similar multi-step autonomous workflows Platform engineer mindset — you think about schema design, API stability, backward/forward compatibility, and developer experience Nice ...

best practices Hands-on experience with ML libraries: PyTorch, PySpark, scikit-learn, Hugging Face Transformers Proficiency in AI tooling: Azure ML, Databricks, MLflow, LangChain, LangGraph Proven experience with Git, unit testing, containerisation and agile methodologies (Jira, Confluence) Good knowledge of generative AI, machine learning, deep learning or NLP Strong communication ...

stakeholder management and communication skills Desirables Hands-on exposure to AI engineering concepts such as Python, prompt engineering, or agent frameworks Experience with LangChain, LangGraph, LlamaIndex, or similar AI tooling Knowledge of Claude (Anthropic), AI APIs, or agentic workflows Experience working within financial services, reporting, environmental or regulatory environments Exposure ...

handles tenant communication, operations, compliance and transactions through AI agents instead. What They're Looking For Python FastAPI LLMs (production systems) AI agent frameworks (LangGraph or similar) RAG pipelines Postgres Redis Async processing and queuing (Celery, RabbitMQ, SQS) Event-driven architecture CI/CD pipelines What You'll Work With ...

Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience mentoring engineers and contributing to architectural ...

building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend fundamentals including API design, async programming ...

Ideally having experience in Gemini, Claude and Vertex AI. Exposure to ML Frameworks such as PyTorch or TensorFlow. Agent orchestration using frameworks such as Langgraph or CrewAI Understanding of ML Ops such as automated model, testing,monitoring and tuning. Excellent interpersonal and communication skills, enabling effective collaboration with analytical ...

build Multi-agent orchestration layer Agent communication + coordination framework Execution pipeline for enterprise-grade analytics Robust production system design (not experiments) Core stack LangGraph · CrewAI · Python · FastAPI · Docker/E2B · AWS/Azure · Kubernetes Nice to have LLM orchestration experience Security/guardrails frameworks Observability (LangSmith) Model routing/ ...

Strong commercial experience as a full stack or backend focused engineer Hands on experience building agentic AI systems using frameworks such as LangChain or LangGraph Experience shipping AI powered features into production environments Solid understanding of cloud infrastructure, ideally AWS and services such as Bedrock or serverless tooling Experience with ...

made architecture decisions at meaningful scale, so has a profile that evidence of that kind of decision making. AI as core leverage - LangChain, LangGraph, MCP, Claude Code, spec-driven development, prompt versioning at production etc., rather than just using AI as a productivity tool. What’s on Offer Opportunity ...

plus). Strong communication and organisational skills. Nice to Have Experience with AI/LLM tools or modern backend frameworks (e.g., LangChain, LangGraph) and backend service frameworks (e.g., FastAPI). Familiarity with cloud‐native technologies (e.g., Kubernetes). Experience supporting platforms used by multiple, downstream consumer teams. Experience managing teams ...

React/Next.js Experience building and operating scalable, secure systems - you understand infrastructure, observability and deployment pipelines Experience with AI agent orchestration frameworks (LangGraph, OpenAI Agent SDK, or similar) Strong architectural judgement - you'll be making foundational decisions about the stack, data model and system design Comfortable with security ...

evaluation datasets, benchmarking, annotation workflows, and advanced programming skills in Python. Familiarity with modern AI/ML frameworks and tooling (PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large‐scale datasets, distributed data/ML platforms, and production AI systems. Strong understanding of statistical analysis, experimentation design ...

/Go, Kubernetes, Docker, and IaC (Terraform). Agentic & AI Engineering: Production experience designing Agentic architectures (chains, tools, memory). Familiarity with Agentic frameworks (LangGraph, PydanticAI) and patterns like durable execution. Understanding of LLM-specific lifecycle issues: non-determinism, systematic evals, and token-based cost tracking. Bonus Points Background ...

transport, marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including New Relic ...

Python is a plus)Strong communication and organi s ational skillsNice to HaveExperience with AI/LLM tools or modern backend frameworks (e.g., LangChain , LangGraph ) and backend service frameworks (e.g., FastAPI )Familiarity with cloud-native technologies (e.g., Kubernetes)Experience supporting platforms used by multiple , downstream consumer teamsExperience managing teams working ...

/test/prod). Define reference architectures for Amazon Bedrock, model orchestration, RAG, tool/function calling, and agentic workflows (e.g., LangChain/LangGraph/CrewAI/Strands-style patterns) with clear guardrails. Design enterprise-grade knowledge architectures: ingestion pipelines, chunking strategies, embedding/model choices, vector stores, metadata ...

Python (or failing that, Java).* Strong proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph).* Strong experience with Kubernetes (EKS) and cloud-native architectures.* Proven record of building scalable backend systems and APIs.* Experience mentoring engineers and contributing to architectural ...

mindset with the ability to measure AI success through clear KPIs and evaluation frameworks. Bonus Points For: Experience with Agentic AI frameworks (e.g., Crew.ai, LangGraph, AutoGen). A background in software development or architecture. Experience building Low-Code/No-Code platforms or visual workflow designers. Sapiens is an equal ...