4 of 4 LangChain Jobs in Chelmsford

Data Scientist

Hiring Organisation
MRA Search
Location
Chelmsford, Essex, UK
Employment Type
Full-time
Experience building or shipping real AI systems • Interest in legal workflows (no legal background required) Bonus experience: • NLP on long-form or structured documents • LangChain/LangGraph, LlamaIndex, Hugging Face • Cloud (AWS/Azure), MLOps, vector databases • Experience in fast-paced AI environments or start ...

Fractional Head of AI - Recruitment Sector

Hiring Organisation
Head of AI
Location
Chelmsford, Essex, UK
Employment Type
Full-time
agentic and generative AI capabilities. Deep Technical Fluency: Fluent in modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data ...

AI Engineer

Hiring Organisation
MRJ Recruitment
Location
Chelmsford, Essex, UK
Employment Type
Full-time
LLMs such as Claude, GPT-4/4.1, Gemini, or open-source models Experience with LLM orchestration frameworks and agent-based systems (e.g. LangChain, LlamaIndex, AutoGen, custom agent frameworks) Familiarity with prompt engineering, tool calling, retrieval-augmented generation (RAG), and multi-agent workflows Experience integrating AI into real systems, APIs ...

Data Scientist

Hiring Organisation
trg.recruitment
Location
Chelmsford, Essex, UK
Employment Type
Full-time
with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype … MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with technical and non-technical stakeholders ...