1 to 25 of 208 Permanent LangChain Jobs in the UK

skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with agentic AI, multi-agent systems, or autonomous workflows. Familiarity with OpenAI APIs, LangChain, or similar frameworks for building intelligent systems. Knowledge of financial compliance regulations and risk analysis methodologies. Experience with CI/CD pipelines and version control More ❯

skills to effectively collaborate with cross-functional teams. Preferred Qualifications: Experience with agentic AI, multi-agent systems, or autonomous workflows. Familiarity with OpenAI APIs, LangChain, or similar frameworks for building intelligent systems. Knowledge of financial compliance regulations and risk analysis methodologies. Experience with CI/CD pipelines and version control More ❯

learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling. Experience with generative AI and LLMs, such as LLamaIndex and LangChain Understanding of MLOps or LLMOps. Familiarity with Agile methodologies, preferably Scrum We are actively seeking candidates for full-time, remote work within the UK. More ❯

experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs More ❯

communities is encouraged Strong understanding of AI governance, data privacy, and Responsible AI frameworks Experience with AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or similar technologies Demonstrated ability to lead cross-functional teams and operate within complex enterprise ecosystems Familiarity with monitoring, observability, and platform telemetry tools (e.g. More ❯

a plus Active participation in GenAI communities encouraged Strong understanding of AI governance, data privacy, and Responsible AI Experience with frameworks like TensorFlow, PyTorch, LangChain Leadership skills for cross-functional teams in complex ecosystems Familiarity with monitoring tools like Prometheus, Grafana, Azure Monitor Excellent communication and stakeholder engagement skills Experience More ❯

Experience with AI engineering tools and technologies for fine tuning and serving custom LLMs in production and with other Gen AI tools such as, Langchain, LlamaIndex Experience working with Knowledge graphs based on text data Scala experience iM Getting To Join a rapidly evolving, industry-leading SaaS company on an More ❯

AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯

AI/ML integration into backend systems, particularly in fintech or risk analysis contexts. Familiarity with agentic AI concepts and frameworks (e.g., OpenAI APIs, LangChain). Knowledge of financial compliance regulations and risk analysis methodologies. Past experiences working in Fintech, Financial Services or related industries. What We Offer: Competitive salary More ❯

to LLMs or interest in working on generative AI use cases (e.g., embeddings, retrieval-augmented generation, fine-tuning). Exposure to the likes of LangChain, OpenAI API, Anthropic Claude, Mistral, Groq, Cohere, vLLM or similar is desirable. Innovator : Passionate about experimentation and new techniques. You enjoy solving complex problems, building More ❯

Behaviour-driven development (BDD), integration testing and performance testing Some experience with AI tools (one of more of) Python, LLM(Large Language models), RAG, Langchain Set Yourself apart with: Bachelor's/Master's degree in Computer Science or related field Experienceof working on large scale, complex, and distributed applications More ❯

NLP roles, with recent focus on LLMs and/or GenAI. Strong proficiency in Python, deep learning frameworks (PyTorch or TensorFlow), and GenAI libraries (LangChain, LlamaIndex, Transformers). Hands-on experience with vector search, embedding models, and retrieval pipelines. Familiarity with prompt engineering, prompt tuning, and evaluation of generative model More ❯

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. More ❯

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. More ❯

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. More ❯

usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and applications. Excellent problem-solving, communication (verbal and written), and teamwork skills. More ❯

autonomous agents for complex property management workflows and decision-making processes Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), LLM orchestration tools (LangChain, LangGraph), MLOps practices and tooling (such as MLflow, Kubeflow, or similar), vector databases, and cloud platforms (AWS, Azure, GCP) with their AI/ML offerings More ❯

requirements and ship weekly increments. Champion best practices in testing, secure data handling (NHS DSPT), and GDPR compliance. Tech you’ll use Python • FastAPI • LangChain/LlamaIndex • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • Prometheus/Grafana • GitHub Actions What we’re looking for More ❯

requirements and ship weekly increments. Champion best practices in testing, secure data handling (NHS DSPT), and GDPR compliance. Tech you’ll use Python • FastAPI • LangChain/LlamaIndex • PostgreSQL + PGVector • Redis • Pinecone/Weaviate • Vertex AI • Cloud Run • Docker • Terraform • Prometheus/Grafana • GitHub Actions What we’re looking for More ❯

including leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like LangChain, OpenAI APIs, and Hugging Face. Deep understanding of multi-agent systems, decision-making algorithms, and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP More ❯

the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM More ❯

the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM More ❯

the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM More ❯

communicate complex ideas and concepts effectively. Ability to work independently and collaboratively. Preferred Skills: Experience building scalable applications with LLMs, using frameworks such as LangChain, LlamaIndex, Hugging Face, etc. Depth of knowledge with RAG implementation and improvements. More ❯

with Node.js, Go, or Rust is a plus • Proficient with PyTorch or TensorFlow • Deep understanding of transformer architectures, embeddings, and attention mechanisms • Experience with LangChain, Transformers (HuggingFace), or LlamaIndex • Working knowledge of LLM fine-tuning (LoRA, QLoRA, PEFT) and prompt engineering • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate More ❯