1 to 25 of 28 OpenAI Jobs in Berkshire

Strong programming skills in Python; proficient in libraries such as NumPy, Pandas, scikit-learn, PyTorch, TensorFlow. Proven experience building and scaling GenAI applications in production. Expertise in LLM architectures (OpenAI, LLaMA, Mistral, etc.) and RAG implementation. Familiarity with frameworks like LangChain, LlamaIndex, LangGraph, CrewAI, AutoGen, or similar. Experience with CI/CD for AI (GenAIOps), model monitoring, and cloud platforms More ❯

new techniques in AI orchestration and agentic reasoning What We’re Looking For Proven experience with LangGraph (bonus: contributions to the open-source project) Strong background in Python, LangChain, OpenAI APIs, and LLM architectures Familiarity with vector databases, retrieval-augmented generation (RAG), and prompt engineering Understanding of software design principles, version control (Git), and CI/CD practices Creative problem More ❯

Understanding of modern development best practices, including agile delivery, CI/CD, and automated testing. Passion for emerging tech and willingness to learn Generative AI and LLM technologies (e.g. OpenAI, Claude). ✨ Nice-to-haves: Experience working in or with legal tech, consulting, or data-driven environments. Familiarity with UX design principles and the ability to prototype interfaces. Experience managing More ❯

a media agency, consultancy, or fast-paced business. Strong programming skills in Python, with experience building automation workflows, APIs, and data pipelines. Exposure to AI/ML frameworks (e.g. OpenAI, LangChain, TensorFlow, PyTorch). Solid knowledge of SQL and data warehousing concepts. Demonstrated experience with cloud platforms ( GCP & Azure preferred). Strong understanding of data modelling, transformation, and orchestration (e.g. More ❯

team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to More ❯

team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to More ❯

ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas). Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex). Experience working with LLM APIs (e.g. Hugging Face, OpenAI). Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.). Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments. Excellent communication skills and a strong interest in More ❯

transformation. Degree in Computer Science, AI, or related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave (including company-wide More ❯

Recommender Systems , or Personalisation . Strong understanding of ML fundamentals and deep learning frameworks (e.g., PyTorch, TensorFlow, JAX). Hands-on experience with GenAI , including working with LLMs (e.g., OpenAI, Anthropic, HuggingFace models). Deep knowledge of MLOps, experimentation, and model evaluation techniques. Experience scaling ML platforms, pipelines, and tooling in cloud environments (e.g., AWS, GCP, Azure). Preferred: PhD More ❯

data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation More ❯

API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and comprehensive More ❯

Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning More ❯

to deepen expertise. Familiarity with version control systems (Git) and modern development practices. Desirable Skills & Experience Curiosity about or experience with AI-powered development tools (e.g., GitHub Copilot, ChatGPT, OpenAI APIs). Exposure to AI-assisted automation in support workflows or development. Understanding of machine learning basics or awareness of AI frameworks. Experience with cloud platforms (AWS, Azure). Knowledge More ❯

Mobile, QA, DevOps, and Business Analysts. What We’re Looking For 5+ years of Data Science experience Strong hands-on expertise with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API) Prior chatbot development experience (a strong plus) Experience with recommender systems is a bonus More ❯

learning projects. Proficient in Python and JavaScript, ideally with hands-on experience in building Gen AI proof of concepts or integrating LLM APIs. Familiarity with AI platforms such as OpenAI, Anthropic, or Databricks. Strong understanding of AI technologies and tools Experience working within an agile development environment, with an emphasis on collaboration and iterative delivery. Ability to write clean, maintainable More ❯

GCP and their managed data services. Desirable: Experience with asynchronous python programming Experience with graph technologies (e.g., Kuzu, Neo4j, Apache AGE). Familiarity with embedding models (hosted or local): OpenAI, Cohere etc or HuggingFace models/sentence-transformers. Solid understanding of data modeling, warehousing, and performance optimization. Experience with messaging middleware + streaming (e.g. NATS Jetstream, Redis Streams, Apache Kafka More ❯

background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about impact, sustainability, and working in a fast-moving early-stage environment. More ❯

1+ year of fullstack experience (open to senior/staff-level engineers too) Production experience with Model Context Protocol (MCP) is highly desired Experience working with LLMs, RAGs, Langchain, OpenAI, Claude etc is beneficial Generative AI Product experience Production-grade Python skills Frontend experience with Vue + TypeScript , or React and a willingness to learn Vue Understanding of web performance More ❯

code review, integration and deployment Claude Code for agentic coding AWS S3, CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more Our tech culture We follow an agile development process with fortnightly sprints. We keep meetings to a minimum, but the ones we do have More ❯

Looking 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 More ❯

Engineer - Meta, Google & Open AI Spin-Out - London Founding AI Engineer required to join a small team with second time founders and a founding team from Meta, Google and OpenAI, backed by pioneers who shaped modern AI. This is an opportunity to join at the ground floor of a company tackling some of the hardest problems in distributed systems and More ❯

Benefits Are you passionate about building real-world AI applications that deliver measurable business impact? We’re working with a fast-growing applied AI consultancy, backed by alliances with OpenAI, NVIDIA, and other global leaders , and they’re seeking a Senior Applied AI Solutions Engineer to join their growing London-based team. 💡 Why this role? Build and deploy enterprise-grade More ❯

AI Systems Architect London (Hybrid) Up to £120k DOE + bonus + equity options On behalf of a client, we’re looking for an experienced AI Systems Architect to design and deliver next generation AI and agentic systems for enterprise More ❯

. Familiarity with tools like Trulens, HumanLoop, PromptLayer, or similar; experience designing QA approaches for GenAI environments. Knowledge of modern AI architectures (RAG pipelines, embeddings, API integrations such as OpenAI, Azure OpenAI, Anthropic). Experience designing and implementing structured test regimes in fast-evolving contexts. Excellent communication and facilitation skills, engaging both technical and business audiences. Proven ability to create More ❯

Microsoft 365 CoPilot and Agentic AI—serving as the principal architect for our highest-value clients. You’ll craft enterprise-scale CoPilot ecosystems, influence vendor roadmaps with Microsoft and OpenAI, and shape governance and best practices across our AI & Cloud Native Labs network. Key Responsibilities 1. Strategic Architecture & Vision a. Establish the Centre of Excellence’s reference architecture for Copilot … models, and adoption roadmaps. b. Lead workshops and steering committees to translate AI capabilities into strategic imperatives. 3. Vendor Ecosystem Leadership a. Forge strategic alliances with Microsoft CoPilot engineering, OpenAI research, Google Cloud AI, AWS AI, and ServiceNow teams. b. Influence product roadmaps by providing enterprise requirements and market insights. 4. Governance, Compliance & Risk a. Define and enforce governance frameworks … 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven track record integrating Google Vertex AI, AWS Bedrock, and ServiceNow Agentforce into large-scale solutions. • Stakeholder Management: Exceptional executive presence More ❯