1 to 25 of 41 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 ❯

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 capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong skills in UNIX/Linux More ❯

solutions. This role demands deep expertise in enterprise architecture, AI systems design, and cloud-native platforms, specifically Microsoft Azure, leveraging services such as Azure AI Studio/Foundry, Azure OpenAI, and Databricks. You will collaborate closely with C-suite executives, Directors, business and technology stakeholders, data scientists, and engineering teams to ensure AI initiatives are scalable, secure, ethically sound, and More ❯

strategy. Key Responsibilities End-to-end development of AI/ML solutions. MLOps practices: CI/CD, model monitoring, retraining. Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). Generative AI features: embeddings, RAG, AI agents. Clean, testable code with modern engineering practices. Align with enterprise architecture and governance. Collaborate with architects and stakeholders. Lifecycle management of 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 ❯

and user experience. Develop and integrate agentic frameworks, RAG pipelines, and vector database architectures to support natural language and intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial More ❯

applications using Azure AI and ML. Requirements Proven experience in AI/ML solutions on Azure, ideally with Generative AI. Expertise with Azure AI, Azure Machine Learning, and Azure OpenAI Service. Strong Python and PyTorch. Experience of RAG pipeline deployment, prompt engineering, fine-tuning foundation models. Knowledge of Responsible AI principles and AI governance. Strong understanding of cloud-native deployment 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 ❯

data ingestion (e.g., web-scraping with BeautifulSoup, Scrapy, or Selenium), data wrangling, model development, and evaluation. Demonstrable experience experimenting with and deploying applications using Large Language Models (e.g., via OpenAI, Anthropic, or open-source models via Hugging Face). Experience building and maintaining data pipelines and a comfort with software engineering best practices (version control, CI/CD, testing). 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 ❯

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 ❯

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 ❯

function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory Board to shape strategic direction Upskill 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 ❯

Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub 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 (RAG): Experience building hybrid systems More ❯

Tech Start-Up | London | Cutting-Edge Machine Learning & Autonomous Systems Join one of the UK’s most exciting deep tech start-ups , backed by leaders from Meta, Google, and OpenAI . We’re building frontier AI and autonomous systems that redefine intelligent defence. The Opportunity As Lead AI Engineer , you’ll shape architecture, research direction, and real-world deployment of 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 ❯

a Platform Engineer, within large, complex organisations Focus on Azure-based Data Platforms Strong hands-on experience with Azure Data Factory (ADF), Azure AI, Data Lake, Cognitive Services and OpenAI Proven ability to deploy Azure services and Infrastructure as Code (IaC) Deep knowledge of Terraform, automation and Infrastructure as Code (IaC) Strong working knowledge of Snowflake engineering and operations Solid More ❯