251 to 275 of 296 LangChain Jobs in the UK

deployed, and scaled across the organisation. You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI … Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data, product, and engineering teams. Why Apply? Be part of a growing More ❯

deployed, and scaled across the organisation. You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI … Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data, product, and engineering teams. Why Apply? Be part of a growing More ❯

deployed, and scaled across the organisation. You'll Be Working On Designing and deploying AI/ML solutions - from traditional models to GenAI applications. Building LLM-based pipelines (using LangChain and related tooling). Embedding AI-driven features and automation into cloud-based products. Collaborating with product, data, and engineering teams to make data AI-ready and improve customer ROI … Need Strong background in AI/ML engineering and data engineering principles . Proven experience building and deploying GenAI applications into production. Hands-on experience with LLM tooling (e.g. LangChain). Cloud experience with AWS (SageMaker, Bedrock) or GCP Vertex AI . Collaborative mindset - able to bridge between data, product, and engineering teams. Why Apply? Be part of a growing More ❯

enforce architectural standards and governance frameworks for the agent lifecycle, data lineage, observability, and interoperability. Technology Evaluation and Selection: Evaluate and select AI platforms, tools, and protocols, such as LangChain, AutoGen, or similar frameworks, ensuring they meet scalability, security, and performance requirements within the Azure environment. Implementation Oversight: Guide development and operations teams through the deployment, integration, and testing of … systems and Generative AI. Deep expertise in enterprise architecture frameworks (e.g., TOGAF, Zachman) and cloud-native architecture (preferably Microsoft Azure). Understanding LLMs and Python-based agentic frameworks like LangChain or AutoGen. Strong understanding 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 ❯

ensuring scalable, secure, and production-ready system. 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). Proven track record delivering production-grade AI solutions in complex … Experience in setting up AI functions Minimum 7 years professional experience in AI, ML, or applied machine learning engineering roles. 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). Proven track record delivering production-grade AI solutions in complex 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 ❯

Opportunity for a AI Engineer Developer to work for an established FinTech company Salary up to £75k depending on experience Hybrid working out of Sevenoaks HQ Tech stack - LLMs, Langchain, OpenAI, n8n, Flowable If you wish to keep your CV/data private feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We … WHAT YOU WILL BE DOING Build intelligent workflows using n8n, Microsoft Power Automate, Flowable, and similar tools. Design and implement agentic AI solutions, integrating LLMs and frameworks such as LangChain, AutoGen, and RAG pipelines with platforms like OpenAI. Collaborate with teams across the business to identify automation opportunities and enhance efficiency. Contribute to the company's AI and workflow automation … environment. AI Engineer - Essential Skills Hands-on experience with workflow automation tools such as n8n, Microsoft Power Automate, or Flowable. Strong understanding of LLM integration and agentic AI frameworks (LangChain, AutoGen, RAG). Proficiency in Python or JavaScript for scripting and workflow logic. Familiarity with APIs, event-driven architectures, and cloud platforms (Azure, AWS, or GCP). TO BE CONSIDERED 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 ❯

AI Technical Consultant Location: Weybridge, Surrey Remuneration: £60,000 - £70,000 depending on experience Join a pioneering team dedicated to innovative artificial intelligence solutions! We are looking for an AI Technical Consultant to enhance and drive smart, strategic integrations of 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 ❯

features in a regulated environment 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, and deploy LLM use cases (Q … and Kafka Use Databricks and 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 If you are interested apply below or More ❯

Python/GenAI Engineer - LangChain, LangGraph, LLM, Langsmith, Langfuse My client (well known consultancy) brings together strategy, design, data science, and engineering to deliver transformative solutions. If you're passionate about GenAI, development, and shaping the digital future, this role is for you. This fantastic company offers excellent training to all their consultants, both online and classroom training. Candidates can … on engineer with experience and a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 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 ❯

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 ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isnt just another job - its a More ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isnt just another job - its a More ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it More ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it More ❯

Build and deploy AI/ML systems that boost accuracy, speed, and user experience. Partner with domain experts to turn complex workflows into AI-driven automation . Leverage LLMs, LangChain, and RAG at scale. Ship quickly, iterate fast, and set the foundation for our engineering culture . Requirements 2+ years in AI/ML engineering or applied research. Proven track … from idea → production with measurable impact. Deep hands-on expertise with LLMs (fine-tuning, prompt engineering, evaluation, and deployment at scale). Hands-on experience with PyTorch/TensorFlow, LangChain, vector databases , or similar tools. Excellent communicator; comfortable working with non-technical stakeholders. Thrive in chaos and love building zero-to-one . This isn’t just another job - it More ❯