1 to 25 of 42 Permanent OpenAI Jobs in Berkshire

skills, both verbal and written. Proficiency in advanced analytics techniques and machine learning algorithms, including NLP and time-series analysis. Knowledge of ML Ops and DevOps frameworks. Experience with OpenAI Endpoints, Google Vertex, Google Model Garden, and Microsoft AI Models. Key Responsibilities: Lead Gen AI and LLM Ops initiatives within the Mars Snacking community. Design, prototype, and build next-generation More ❯

AI/ML solution development, architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF). What would be your … ensuring scalability, security, compliance, and alignment with business goals. Develop and deploy custom AI models (NLU, NLG, AI Search, Virtual Agents) and integrate with SaaS platforms (e.g., ServiceNow, Workday, OpenAI) to improve user experience. Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). Drive adoption of GenAI-powered … solutions through performance monitoring and feedback loops. Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday Illuminate, SAP, Microsoft CoPilot, OpenAI, Mistral), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI. What can you expect from Mars? Work with over More ❯

Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup More ❯

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: you're More ❯

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). Experience deploying ML models in production using REST APIs, microservices, and More ❯

Platform: Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps … preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory tech. More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

Vite. GenAI Frameworks: Familiarity 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 with Docker, Kubernetes, and Docker More ❯

Vite. GenAI Frameworks: Familiarity 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 with Docker, Kubernetes, and Docker More ❯

out-of-hours work or travel Tech Stack/Tools Microsoft Azure Azure Document Intelligence Azure Networking & Security Infrastructure as Code (Terraform, ARM) Python ML frameworks (e.g., Hugging Face, OpenAI) CI/CD pipelines DevOps automation tooling #J-18808-Ljbffr More ❯

delivering on customer solutions. Data science best-practice pipeline. Open and closed source experience. Agile/Waterfall understanding. Cloud, ideally Azure and its core AI products (Azure ML, Azure OpenAI, AI Foundry). Modelling: Expertise in at least 2 areas of AI, e.g. forecasting, NLP/NLM, vision. Experience with GenAI, particularly Language Models. Coding: Python for data science (DS More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

Job Description: The Food & Nutrition Data Architect will be a key driving force in transforming the Food & Nutrition (F&N) business segment. Working closely with our partners, you will have overall accountability for data solution design, including Analytics, Visualisation, Dashboards More ❯

Job Description: The Food & Nutrition Data Architect will be a key driver in transforming the Food & Nutrition (F&N) business segment. Working closely with partners, you will be responsible for data solution design, including Analytics, Visualization, Dashboards, and Operations. You More ❯

tools, SDKs, or APIs. Strong communication skills — capable of bridging the gap between engineering, product, and enterprise stakeholders. Bonus: experience working with AI/ML tooling (e.g. Hugging Face, OpenAI, LLMs, vector databases, etc.) Bonus: background in consulting, technical pre-sales, or solutions architecture. ? Why Join Us? Help define the developer experience of tomorrow — where AI does the heavy lifting. More ❯

build them. Strong experience with AWS data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. Data modelling and wrangling More ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

Skills & Experience: Experience in product management or product ownership roles Understanding of data and AI technologies and their business applications, including AWS services ( Bedrock, SageMaker, DataZone ) and Azure services ( OpenAI, Fabric, Purview ) Familiarity with Python for data analysis and prototyping AI solutions Familiarity with agile development methodologies Strong stakeholder management and communication skills Ability to balance business needs with technical More ❯

the following technologies (no prior experience required): Ktor for building our backend application server. PostgreSQL for our persistent data store. React + TypeScript for our web app and console. OpenAI APIs for enhancing product capabilities. AWS for our cloud infrastructure. GitHub Actions for our CI/CD pipelines. We have a straightforward three-step interview process: A 30 min intro More ❯

making things happen. Hands-On LLM/AI Experience: You have demonstrable experience building and shipping meaningful projects (at work or independently) using modern AI tools and techniques (e.g., OpenAI, Anthropic, Gemini APIs; RAG, agent frameworks, prompt engineering). Showcasing this via a portfolio, open-source contributions (e.g., a GitHub repo), or detailed project walkthroughs is highly encouraged. Tinkerer's 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 … driven business cases, ROI models, and adoption roadmaps. b. Lead workshops and steering committees to translate AI capabilities into strategic imperatives. 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 ❯

drive this ambitious roadmap, we’re hiring a AI-Driven Product Analyst to lead the accuracy, growth, and experimentation of our product data and content. We are testing Llama, OpenAI and Falcon LLM's along with our own NLP methods. What You’ll Do As the Product Analyst, you’ll be the go-to expert for all things product. You More ❯

and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯