1 to 25 of 51 LangChain Jobs in Central 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 ❯

prompts Fine-tune or adapt foundation models (e.g., Llama-3, GPT-4o) to company-specific data Build evaluation harnesses to measure accuracy, latency, and hallucination rates Work with Python, LangChain/LlamaIndex, Hugging Face, and cloud LLM endpoints (OpenAI, Azure AI, etc.) Collaborate with analysts, engineers, and ops teams to turn PoCs into deployable micro-services Present findings to stakeholders … and RAG concepts Ability to explain complex ideas clearly to non-technical audiences Curiosity about how AI can drive tangible business growth Nice to Have Hands-on work with LangChain, LlamaIndex, or similar orchestration frameworks Knowledge of prompt-engineering techniques and evaluation metrics (BLEU, ROUGE, BERTScore, etc.) Experience deploying models on Azure, AWS, or GCP Understanding of MLOps tools (MLflow More ❯

engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs) Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines Familiarity with containerization (Docker, Kubernetes) and observability (e.g., Prometheus, Grafana) A builder mindset More ❯

focus on machine learning, AI, or language technologies. Technical Skills : Proficiency in Python or similar programming (intermediate level). Expertise in NLP libraries such as spaCy, Transformers, Sentence Transformers, LangChain, LangGraph, LlamaIndex, BERTopic. Hands-on experience with machine learning libraries (scikit-learn, TensorFlow, PyTorch). Experience with cloud platforms (AWS, Google Cloud, Azure) and version control systems (Git). Knowledge 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 ❯

AI Agents Solution Architect - Future Talent (Q2/Q3 opportunities) for leading GSI in the software engineering market AI Solution Architect to design and implement AI-driven agent solutions for the online commerce space. Deep understanding of AI/ML 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 ❯

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 ❯

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 ❯

and contribute to business development What you bring: 3–10 years in tech consulting, software engineering, or IT strategy Strong experience with GenAI tools (e.g., AWS Bedrock, Vertex AI, Langchain) Deep understanding of AI/ML, prompt engineering, and modern architectures Excellent communication, problem-solving, and stakeholder management skills STEM or business degree with strong academic performance ? Expect global exposure More ❯

features to life KEY SKILLS AND REQUIREMENTS 3+ years' experience in software engineering (Python, TypeScript, Go, or similar) Practical experience with LLMs, generative AI, or related APIs (OpenAI, Claude, LangChain, etc.) Strong backend/cloud infrastructure knowledge (AWS, GCP, microservices, scalable APIs) Passion for media, creativity, and building innovative AI-driven products Comfortable working in an agile, fast-paced startup 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 ❯

to-end — designing, building, and deploying production-grade AI features powered by the latest large language models like GPT and Anthropic. You’ll work with cutting-edge tools — think LangChain, FastAPI, vector search with Qdrant — building AI agents that automate complex workflows and deliver real impact. What they’re looking for: Deep expertise in Large Language Models (LLMs) and generative … Anthropic. Strong software engineering skills, fluent in Python , and experienced with scalable backend frameworks like FastAPI . Hands-on experience with LLM orchestration and prompt engineering frameworks such as LangChain or LangGraph, plus designing retrieval-augmented generation (RAG) pipelines. Familiarity with vector databases like Qdrant, Pinecone, or Redis for low-latency AI retrieval. Experience deploying, monitoring, and scaling AI workloads 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 ❯

augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL. Develop infrastructure to support short- and long-term memory in autonomous agents. Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability. Optimize data workflows for performance, cost-efficiency, and latency. Maintain strong data governance, access control, and compliance practices. Tech Stack: Languages … SQL Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub) Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma Tools: dbt, Airflow, Terraform, Docker, GitHub Actions AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI APIs What We’re Looking For: Strong experience building and maintaining data systems on GCP Direct experience working on Google projects Experience with Agentic AI Proficiency 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 ❯