1 to 25 of 310 Remote LangChain Jobs in the UK

production environments. Proficiency in Python and ML libraries such as PyTorch, Hugging Face Transformers, or TensorFlow. Experience with vector search tools (e.g., FAISS, Pinecone, Weaviate) and retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and containerization (Docker, Kubernetes). Experience More ❯

. Understanding of advanced machine 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. #J-18808-Ljbffr More ❯

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 ❯

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 ❯

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 ❯

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 ❯

platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale More ❯

platform components from conception through production deployment Who You Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale More ❯

Azure) or containerised environments (Docker, Kubernetes). Proficiency in machine learning algorithms and advanced AI techniques, including transformer-based architectures. Hands-on experience with large language models (e.g., GPT, Langchain) or custom-built AI systems. Familiarity with DevOps tools and practices for deploying and managing AI systems. Strong problem-solving skills and the ability to design scalable, reliable AI solutions. More ❯

ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on generative AI use cases (e.g., embeddings, retrieval-augmented , 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 reusable ML components, and staying More ❯

Science, AI, Computer Science, or related quantitative field Experience: 5+ years in data science roles with platform/product experience 2+ years working on RAG implementations using tools like LangChain, LlamaIndex, or custom vector stores Experience building or deploying Agentic AI architectures (e.g., AutoGPT, CrewAI, OpenAgents) Strong grasp of CRM systems and finance/savings data (transaction flows, compliance, user More ❯

and analyzing large heterogeneous data sets related to drug discovery. LLM Experience: Experience with LLMs (fine-tuning, pretraining, continued pretraining, inference, RAG, and building multi-agent workflows using Llamaindex, Langchain, LangGraph, vector databases, etc.). Production-Grade Models: Significant expertise in building production-grade machine learning models in industry and/or academic research settings, building, training, and deploying ML. 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 ❯

medical SME teams to refine 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 Master’s degree in Computer More ❯

medical SME teams to refine 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 Master’s degree in Computer 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 ❯

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 ❯

Statistical testing experience Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What's in it for you? Join an ever-growing, market disrupting, global company where the teams - comprised of the best of the best - work in More ❯

including microservice deployment. Experience with AWS Bedrock Experience with C# Containerization via Docker. Awareness of basic data science and generative AI methods. Exposure to generative AI application frameworks like LangChain, LlamaIndex, SmolAgents and griptape. What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in More ❯

services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders. Excellent organisational, time management, and prioritisation skills. More ❯

services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders. Excellent organisational, time management, and prioritisation skills. More ❯

services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders. Excellent organisational, time management, and prioritisation skills. More ❯

services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse stakeholders. Excellent organisational, time management, and prioritisation skills. More ❯

Lead Machine Learning Engineer - LLMs - Ramboll Tech At Ramboll Tech, we believe innovation thrives in diverse, supportive environments where everyone can contribute their best ideas. As a Lead Machine Learning Engineer, you will create cutting-edge AI solutions, mentor others More ❯

Build proof-of-concepts (PoCs) or demos to validate solution approaches and inspire client confidence. Showcase AI capabilities using relevant tools (e.g. Power BI + Azure ML, Hugging Face, LangChain, GPT APIs). 5. Track Industry Trends and Use Cases Stay ahead of market trends in Generative AI, Responsible AI, and emerging AI use cases across sectors. Advise internal stakeholders … AI/ML concepts: supervised and unsupervised learning, GenAI, LLMs, embeddings, MLOps, vector search. Experience designing solutions using tools such as Azure ML, AWS SageMaker, Google Vertex AI, Databricks, LangChain, and Hugging Face. Ability to develop architecture artefacts (e.g., HLDs), estimate effort and cost, and contribute to proposal writing. Strong storytelling and presentation skills; able to build confidence with senior More ❯