1 to 25 of 75 Permanent LangChain Jobs in the UK excluding London

and stay up to date with the latest advancements in AI, ML, and deep learning. Write clean, efficient, and well-documented code using Python, LangChain, or other AI frameworks. Participate in model evaluation, consulting other teams and helping out CEO of the unit . Requirements: Bachelor’s or Master’s 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 ❯

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 ❯

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. 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 ❯

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 ❯

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 ❯

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 ❯

AWS, GCP, Azure) and server management via shell Practical experience through internships or personal projects Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Frontend: NextJS, Zustand, Tailwind, Prisma Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI 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 ❯

and server management via shell Practical experience through internships or personal projects Nice to have Experience with Python backends, FastAPI, and RAG frameworks like LangChain, Llama Index Knowledge of vector databases and advanced database management systems Knowledge of 2D graphics editors and SVG (yep, it gets quite nitty gritty) Previous More ❯

inGenAI or platform operations communities isencouraged Strong understanding of AIgovernance, data privacy, and Responsible AIframeworks Experience with AI/ML frameworkssuch as TensorFlow, PyTorch, LangChain, or similartechnologies Demonstrated ability to leadcross-functional teams and operate within complex enterpriseecosystems Familiarity with monitoring,observability, and platform telemetry tools (e.g., Prometheus,Grafana, Azure More ❯

inGenAI or platform operations communities isencouraged Strong understanding of AIgovernance, data privacy, and Responsible AIframeworks Experience with AI/ML frameworkssuch as TensorFlow, PyTorch, LangChain, or similartechnologies Demonstrated ability to leadcross-functional teams and operate within complex enterpriseecosystems Familiarity with monitoring,observability, and platform telemetry tools (e.g., Prometheus,Grafana, Azure More ❯

inGenAI or platform operations communities isencouraged Strong understanding of AIgovernance, data privacy, and Responsible AIframeworks Experience with AI/ML frameworkssuch as TensorFlow, PyTorch, LangChain, or similartechnologies Demonstrated ability to leadcross-functional teams and operate within complex enterpriseecosystems Familiarity with monitoring,observability, and platform telemetry tools (e.g., Prometheus,Grafana, Azure More ❯

inGenAI or platform operations communities isencouraged Strong understanding of AIgovernance, data privacy, and Responsible AIframeworks Experience with AI/ML frameworkssuch as TensorFlow, PyTorch, LangChain, or similartechnologies Demonstrated ability to leadcross-functional teams and operate within complex enterpriseecosystems Familiarity with monitoring,observability, and platform telemetry tools (e.g., Prometheus,Grafana, Azure More ❯

knowledge, including data structures, algorithms, system design, and OOP. You have advanced knowledge of LLM architectures and ML/DL frameworks (e.g. TensorFlow, PyTorch, LangChain, Keras, scikit-learn). You're ready to design, deploy and maintain production-grade Machine Learning systems. You're willing to champion best practices in More ❯

with cloud platforms (GCP preferred) and infrastructure automation Ability to design and implement scalable, production-grade systems Nice to have Experience with AI frameworks (LangChain, Llama Index, RAG-based systems) Knowledge of vector databases (PGVector) and PostgreSQL optimization Familiarity with SVG and 2D graphics development Previous experience in fast-paced More ❯

ML development using frameworks like TensorFlow, PyTorch, and Scikit-learn. LLM Orchestration and Development Expertise in building LLM-powered applications using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural More ❯

Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and More ❯

Tuning: Use methods like LoRA, QLoRA, SFT, PEFT, and RLHF Inference & Acceleration: Serve models using vLLM, DeepSpeed, Triton, TensorRT Multi-Agent Orchestration: Work with LangChain, AutoGen, CrewAI, DSPy and similar tools Cloud & MLOps (AWS): Deploy with SageMaker, Bedrock, Lambda, S3, ECS, EKS Full-Stack Integration: Build APIs (FastAPI, Flask) and More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate agentic capabilities using frameworks such as LangChain, CrewAI, AutoGen, and DSPy. AWS Cloud & MLOps: Deploy scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. More ❯

/IOI, Top Coder, Kaggle). Technical Skills : Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch), Generative AI technologies, and libraries like Langchain, Weaviate, Langgraph, LlamaIndex. Track Record : Demonstrated success in applying data science and machine learning to solve real-world, business-critical problems. Collaboration : Excellent communication and More ❯

lineage Leadership: Proven experience guiding multi‑disciplinary teams and influencing C‑suite stakeholders Nice‑to‑Have Extras Backend and cloud languages such as Spark, LangChain, Terraform Analytics and visualisation experience with tools like Power BI or Superset Energy‑sector exposure (trading, flexibility markets, renewables, grid optimisation) Kubernetes & container orchestration for More ❯

lineage Leadership: Proven experience guiding multi‑disciplinary teams and influencing C‑suite stakeholders Nice‑to‑Have Extras Backend and cloud languages such as Spark, LangChain, Terraform Analytics and visualisation experience with tools like Power BI or Superset Energy‑sector exposure (trading, flexibility markets, renewables, grid optimisation) Kubernetes & container orchestration for More ❯