1 to 25 of 90 OpenAI Jobs in England

Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience (AWS, Azure, or GCP). Experience building AI APIs and microservices. Education Bachelor’s or Master’s degree ...

Engineering/Computer Science degree. Technical Skills Programming Languages: Python, Java, C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes ...

have relating to the below; System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation ...

pipelines Model fine-tuning (supervised/unsupervised) MLOps/LLMOps and AI observability Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.) Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph ...

least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt APIs & Microservices ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tune LLMs, and integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

thoughtful, creative ways. You’ll be working with: Python as your core language, building backend services and AI pipelines Generative AI tools such as OpenAI APIs, LLM agents and prompt engineering frameworks Cloud platforms including AWS, GCP or Azure for scalable deployments CI/CD pipelines, containerisation (such as Docker ...

learn fast Experience with FastAPI, Flask or similar Basic networking knowledge (ports, tunnels, proxies) SQL or NoSQL experience Preferred Experience with LLM APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed ...

applied AI, including: Agentic AI for process optimisation Research and prototype autonomous AI agents to enhance workflow efficiency Explore orchestration frameworks (e.g. LangChain, CrewAI, OpenAI Assistants) Design intelligent tools to support high-volume or time-critical operations Real-time accessibility Develop live captioning and transcription systems to support inclusive services ...

Integrate monitoring, logging and diagnostics for custom applications using Azure Monitor, Application Insights and Log Analytics. Integrate with AI-related Azure services such as OpenAI and contribute to integrations strategies involving LLMs. Ensure that custom-built applications are built and maintained inline with client standards, governance and controls, ensuring compliance ...

Preferred Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Practical exposure to Generative AI tools (e.g., OpenAI APIs, Hugging Face interfaces, LangChain, or similar agent frameworks). Background in MES or industrial software domains is a plus. Understanding of multi-tenant SaaS ...

.NET applications using Docker on either Amazon ECS, Amazon EKS or AWS Elastic Beanstalk. Building applications or workloads with Foundational Models such as OpenAI’s GPT, Anthropic Claude, Amazon Bedrock API. Managing databases on AWS using Amazon RDS, Amazon DynamoDB or Amazon DocumentDB. Continuous integration and delivery (CI/ ...

evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector ...

unstructured data (text, logs, transaction data) Knowledge of financial crime domains (AML, KYC, transaction monitoring, fraud) Familiarity with AWS data & AI services (Azure OpenAI, Databricks preferred ...

ambiguity Node.js, React, and TypeScript Python for AI workflows and automation Microservices and distributed system design Experience with AI/LLM frameworks (e.g. LangChain, OpenAI API, Vertex, LiteLLM) GCP experience and DevOps best practices (monitoring, observability, CI/CD) PostgreSQL and relational data modelling Event-driven systems (Pub/ ...

tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience with at least one major cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies or knowledge graph concepts, ideally applied to complex domains Proven ability to rapidly prototype ...

Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot. Knowledge ...

Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT, Claude, Llama, OpenAI), including prompt engineering, fine tuning and advanced search. Familiarity with AI agent frameworks (e.g. Autogen AI) and digital assistant solutions such as Microsoft Copilot. Knowledge ...

calling frameworks Strong Python skills with experience building production-grade systems Experience working across at least one major cloud AI ecosystem (e.g. Azure/OpenAI, GCP/Vertex, AWS, Anthropic) Familiarity with semantic modelling, ontologies, or knowledge graph concepts Proven ability to rapidly prototype solutions for client validation Experience working ...

Solving: Prototype novel solutions that blend technical rigor with human-centered product thinking. AI Platform Integration: Develop abstraction layers across AI providers (Anthropic, Google, OpenAI, etc.) to enable seamless integration and enablement. Cloud-Native Product & Software Engineering: Apply containerization (Kubernetes, Docker), microservices, serverless, event-driven architectures, CI/ ...