151 to 175 of 193 LangChain Jobs in London

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look , not just how they run) Comfort building More ❯

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look, not just how they run) Comfort building More ❯

For 1-3+ years of experience in full stack development (React + Node or equivalent stack) Experience integrating and fine-tuning LLMs, embeddings, or vector search (e.g. OpenAI, LangChain, Pinecone, Lovable and Google’s Agent Development Kit or equivalent vide coding platforms) Strong frontend sensibility (you care how things feel and look, not just how they run) Comfort building More ❯

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into More ❯

where this was necessary. You either have professional experience using LLMs or have enthusiastically experimented in your own time. Industry experience with LLM toolchains and ecosystems (e.g. libraries like Langchain, observability tooling, RAG systems, etc.) is a plus. You can work closely with a Product Manager to understand customer requirements, build a vision for your team, and turn that into More ❯

Startup (London/Hybrid) Salary : £100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This is a seed-stage, well-funded company More ❯

Startup (London/Hybrid) Salary : £100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This is a seed-stage, well-funded company More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS, Machine Learning … AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top-tier global law firm who have a long-stream of projects in the pipeline … alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

system. Expert in MCP and RAG patterns. Design and build robust data and ingestion pipelines, integrate vector databases, and RSG. Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud … up AI functions Qualifications Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles. Required Skills Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow). Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS). Strong background in deploying models via APIs, containers, or cloud More ❯

to-end with Next.js for a unified development experience. AWS and Terraform for scalable, version-controlled infrastructure. TurboRepo for rapid code sharing and efficient testing. AI-driven architecture using LangChain and custom orchestration for real-world solutions. What's on Offer Permanent role with a competitive salary and meaningful equity . Brand-new MacBook and full setup provided. Private medical More ❯

to-end with Next.js for a unified development experience. AWS and Terraform for scalable, version-controlled infrastructure. TurboRepo for rapid code sharing and efficient testing. AI-driven architecture using LangChain and custom orchestration for real-world solutions. What's on Offer Permanent role with a competitive salary and meaningful equity . Brand-new MacBook and full setup provided. Private medical More ❯

Lead and clients to shape, design and explain potential solutions. Develop and maintain high-quality AI applications, including: Cloud functions and REST APIs, Integration with AI Python libraries (e.g. LangChain, LangGraph), Database interfacing (SQL, document, vector), User interface development and testing, Debugging, validation and documentation Build new features and improvements for Chat2Impact, their fullstack AI product. Work collaboratively with colleagues … and clients to ensure smooth, effective project delivery. What Were Looking For: Strong programming skills in Python and TypeScript, Familiarity with Agentic Frameworks (e.g. LangChain, LangGraph) Proven experience building full stack applications using Git, SQL databases and modern deployment practices Understanding of LLMs, embedding models and RAG systems Solid software engineering fundamentals and secure coding practices Strong problem-solving, communication More ❯

Lead and clients to shape, design and explain potential solutions. Develop and maintain high-quality AI applications, including: Cloud functions and REST APIs, Integration with AI Python libraries (e.g. LangChain, LangGraph), Database interfacing (SQL, document, vector), User interface development and testing, Debugging, validation and documentation Build new features and improvements for Chat2Impact, their fullstack AI product. Work collaboratively with colleagues … and clients to ensure smooth, effective project delivery. What We’re Looking For: Strong programming skills in Python and TypeScript, Familiarity with Agentic Frameworks (e.g. LangChain, LangGraph) Proven experience building full stack applications using Git, SQL databases and modern deployment practices Understanding of LLMs, embedding models and RAG systems Solid software engineering fundamentals and secure coding practices Strong problem-solving More ❯

aligned with business goals. Design secure, scalable AI architectures and set governance standards for agent life cycle, data lineage, and interoperability. Assess and select AI platforms and frameworks (eg, LangChain, AutoGen) for performance and security within Azure. Guide teams on deployment, integration, and testing; promote best practices in AIOps, LLMOps, and agile delivery. Ensure data readiness by building robust pipelines … and Generative AI. Deep expertise in enterprise architecture frameworks (eg, TOGAF, Zachman) and cloud-native architecture, preferably on Microsoft Azure. Understanding of LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong knowledge of data governance, security protocols, and MLOps practices in a cloud environment. Proven track record of designing and deploying scalable AI solutions that deliver measurable business More ❯

key products Collaborate with GTM and sales teams during pre-sales cycles, workshops, and proof-of-concepts. AI and ML Engineering Implement, optimise, and deploy models using PyTorch , HuggingFace , LangChain , and NVIDIA Triton . Execute fine-tuning and evaluation of foundation models for domain-specific use cases. Package and deploy models into scalable inference endpoints (REST/gRPC APIs, containerised … resulting in measurable influenced ARR aligned with GTM metrics. Required Qualifications 5+ years in AI/ML engineering, applied AI, or solutions engineering roles. Proven experience with: RAG pipelines (LangChain, LlamaIndex, Weaviate, Pinecone, Milvus, etc.) Fine-tuning LLMs (LoRA, PEFT, instruction-tuning, domain adaptation) Deploying inference endpoints at scale (Triton, HuggingFace Inference, Ray Serve, Kubernetes) Strong coding skills in Python More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong analytical and problem-solving skills … for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance frameworks public-sector More ❯

Title: AI Engineering Research Assistant Location: London, UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The More ❯

Artifical Intelligence (AI) Engineer Central London - Twice a week in the office £80,000-£100,000 I’m currently working with a well-established London FinTech SaaS business, who are looking for a AI Engineer to join their growing team More ❯

Artifical Intelligence (AI) Engineer Central London - Twice a week in the office £80,000-£100,000 I’m currently working with a well-established London FinTech SaaS business, who are looking for a AI Engineer to join their growing team More ❯