1 to 25 of 40 LangChain Jobs in the City of London

NumPy, or Spark. At least 2 years' experience with machine learning, deep learning, or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). More ❯

Vertex AI, BigQuery, Dataflow, and GKE. • Proficiency with vector similarity tools such as ScaNN, FAISS, or Vespa for semantic and visual search. • Experience with AI agent frameworks (e.g., Dialogflow, LangChain, or custom agent orchestration solutions). • Strong understanding of retail data ecosystems, POS integration, and customer engagement analytics. • Strong hands-on experience with Google Cloud Platform (GCP) AI/ML More ❯

advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps to containerise … platforms (preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory More ❯

Google Cloud Platform experience (or transferable AWS/Azure skills) Database expertise - both MySQL and Firestore Enterprise infrastructure - microservices, Docker, Kubernetes, CI/CD AI & Startup Experience: LLM experience - LangChain, TensorFlow/PyTorch beneficial Degree in Computer Science/Engineering OR equivalent practical experience Startup/product building experience highly valued Entrepreneurial mindset - proactive, independent, collaborative If you're passionate More ❯

GPT, LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating More ❯

modelling and deploying LLMs - experience with RAG, IR, NER etc would also be very beneficial Strong programming skills (e.g., Python) and experience with modern ML frameworks (e.g., PyTorch, TensorFlow, LangChain). Collaborating with other Researchers, Product, Engineering and Business Stakeholders in an agile manner to demonstrate value and iterate with customer feedback. Please apply below for immediate consideration More ❯

Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product More ❯

shipping LLM-based products (GPT, Llama, Mistral, or similar) or conversational AI systems into production. Deep knowledge of modern ML/NLP frameworks (PyTorch, TensorFlow, JAX) and orchestration stacks (LangChain, LlamaIndex, vector databases). Proven track record driving AI governance, model risk management, and compliance within regulated sectors (healthcare, med-tech, pharma, fintech, etc.). Strong leadership & mentorship skills; comfortable More ❯

a STEM related field. Strong experience with Python. Strong experience with managing projects using GitHub with attention to best practice. Good understanding and experience using LLM frameworks such as LangChain, LlamaIndex and or PydanticAI etc. Foundational knowledge of transformers and the underlying architecture of LLMs. Foundational knowledge of diffusion models for image generation. Can display and present completed project/ More ❯

cloud platforms (AWS, GCP, Azure) Valuable Additional Skills: Experience with data analytics and visualization tools Familiarity with vector databases and AI/ML integration Experience with LLM orchestration frameworks (LangChain, LangGraph, etc.) Financial domain knowledge or fintech experience Experience with API design and microservices architecture Background in data engineering or ETL processes Knowledge of monitoring, logging, and performance optimization Understanding More ❯

of agentic AI concepts — orchestrating multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML More ❯

and testing best practices into the core of our stack Tech Stack Python • FastAPI • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • GitHub Actions • LangChain/LlamaIndex What We’re Looking For 5+ years building production-grade backend systems (preferably in Python) Strong background in search, recommender systems, or ML infrastructure at scale Experience with More ❯

with LLMs , ML lifecycle tools (like MLflow, Weights & Biases), and cloud deployment . A strong grasp of machine learning algorithms , model development, and evaluation techniques. Experience with frameworks like LangChain , LlamaIndex , or Hugging Face is a big plus. A creative, curious mindset and a passion for solving hard problems with elegant code. Excellent communication skills—you can explain complex ideas More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced More ❯

deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design … like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. GCP/Google Cloud expertise Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing More ❯

AI Engineer The role is building AI based automation into back-office administration tasks. You'll be working with GenAI and Agentic AI, lots of AWS, NodeJS, Python, HuggingFace, LangChain, RAG techniques, interfacing with diverse data sets. The opportunity Work at the forefront of the industry. It's exciting, competitive, fast paced and challenging of course! You'll have the More ❯

offs, and prompt tuning Collaborate closely with founders on product, architecture, and research priorities ✅ Core Requirements Proven experience building AI systems with LLMs — you’ve worked with tools like LangChain, LlamaIndex, Haystack, or built your own stack Hands-on with embedding models, vector DBs (e.g., FAISS, Weaviate, Qdrant), and retrieval logic Strong Python engineering skills — you write clean, production-ready More ❯

software through AI. You’ll work closely with a former FAANG engineering lead who spent over a decade building LLM-based dev tools, using a stack that includes Python, LangChain, RAG, Rust, and Kubernetes. They’re looking for engineers with: A STEM degree (BSc or higher) from a top ranked university 3+ years of Python experience and exposure to Go More ❯

experience developing LLM applications using some of the more recent LLMs such as GPT, Llama, Claude, Gemini, Qwen and Mistral models, developed RAG pipelines and architecture, orchestrated workflows using LangChain/LangGraph/LlamaIndex etc. This role is ideal for someone with.... 2 years of experience developing and deploying BERT based NLP models Experience deploying AI models on cloud (Azure More ❯

5+ years in AI/ML roles with a strong record of ownership and delivery. Hands-on experience with LLM development or fine-tuning , including frameworks like Hugging Face, LangChain, or custom pipelines. Deep technical understanding of biometric security systems and privacy-aware architecture. Strong Python/ML stack (e.g., PyTorch, TensorFlow, Scikit-learn). Experience building real-time AI More ❯

you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development end to More ❯

Synechron is looking for a Senior AI Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The role requires an experienced and talented AI Engineer to More ❯

proven contract engineer with experience building and fine tuning LLM solutions in an applied environment. To provide a snapshot of the experience they are looking for, Conversational AI – NLP LangChain, LangGraph & RAG Pytorch/Tensorflow You will ideally come from a financial services background but this is not an absolute requirement. They work in a hybrid model with More ❯

ll work closely with the CTO to architect and implement the intelligence layer of the platform — with real ownership over: Designing and deploying LLM-driven agent systems using LangGraph, LangChain, or similar tools to coordinate tool use, memory, and fallback logic Building orchestration logic for autonomous workflows — handling retries, dependencies, logging, and execution across simulation and design environments Creating custom … ideally in fast-moving, early-stage environments Strong Python skills, with a track record of building or deploying LLM-based systems in production Hands-on experience with frameworks like LangChain, LangGraph, or custom-built agent orchestration setups Familiarity with LLM APIs (OpenAI, Anthropic, Mistral, etc.), embedding stores, retrieval pipelines (e.g. Weaviate, Pinecone), and eval tooling Comfort building and testing AI More ❯

problem-solving abilities. Effective time management and prioritisation skills under tight deadlines. Bonus Skills & Expertise Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice More ❯