1 to 25 of 47 LLM Jobs in Berkshire

will be responsible for guiding a team of AI Engineers in the design, development, deployment, and operation of scalable AI and Large Language Model (LLM) powered applications. Working closely with Data Scientists, Product teams, and business stakeholders, you will ensure AI products are secure, reliable, and built to enterprise standards. … performing technical teams, creating a culture of collaboration, innovation, continuous improvement, and professional growth. Hands-on experience designing, building, and deploying Large Language Model (LLM) powered solutions and generative AI applications at enterprise scale. Strong Python development skills, with experience using machine learning frameworks such as PyTorch, TensorFlow, and Scikit ...

cloud data platforms, distributed processing, data modelling, and analytics/BI consumption patterns Exposure to AI/ML engineering practices, feature pipelines, model productionization, LLM‐based applications, or agentic AI patterns will be an added advantage Experience with DevOps and DataOps practices, including CI/CD, monitoring, observability, and incident ...

/C#, Python and FastAPI . Integrating Microsoft AI technologies including Azure OpenAI, Azure AI Foundry, Foundry Agents and Azure AI Search . Building LLM-powered applications, RAG architectures, agentic workflows and MCP integrations . Deploying secure and scalable applications within Microsoft Azure. Working directly with customers to translate business ...

upside. What we need from you Substantial software engineering experience, with strong Python. You write production code, not just notebooks. Demonstrable delivery of LLM or agentic systems into production for real users, and the scar tissue that comes with it. We will ask what broke and what you changed. Hands ...

stack development experience (React/Node.js, .NET/C#, Python/FastAPI). Proven background delivering production software in client-facing environments. Experience with LLM integration, prompt engineering, RAG or agentic AI development. Familiarity with AI-assisted development tools (GitHub Copilot, Claude, Cursor). Hands-on experience with Azure cloud ...

Experience in data science, machine learning, or applied NLP Strong hands‐on experience with: Search and retrieval systems (lexical, vector, hybrid) RAG pipelines and LLM‐based systems Evaluation methodologies for ML/IR/GenAI Advanced programming skills in Python Experience with modern ML/NLP frameworks (e.g., PyTorch, Hugging ...

practice in AI governance and documentation - model cards, system cards, reproducibility, and responsible‐AI considerations - at an organizational level. Broad familiarity with the modern LLM ecosystem (open and proprietary models, orchestration frameworks, vector stores) and well‐formed views on the tradeoffs. Experience supporting multilingual or localization‐focused products at enterprise ...

continuously improving performance, reducing latency, and ensuring output consistency. Key Responsibilities Design and implement advanced, dynamic prompts tailored to business-specific use cases. Optimize LLM performance by reducing token consumption, latency, and hallucinations. Integrate prompts into agent-based systems, APIs, and RAG architectures. Develop prompt frameworks and reusable templates ...

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...

long-lived enterprise systems and choosing the achievable-good over the theoretical-perfect. Highly desirable: Hands-on exposure to AI-assisted engineering - building with LLM APIs, agentic coding tools, and prompt-driven workflows, and a grounded view of where they help and where they don't.Experience taking early-stage products ...

used to enhance and automate cyber security capabilities. The ideal candidate will have a strong security architecture background with application security and AI/LLM security architecture experience. Practical exposure to platforms such as GCP Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Claude or OpenAI is essential. This ...

Knowledge Graphs & Advanced RAG Job Description Design, develop, and deploy scalable applications using Python with high code quality and performance standards Build and implement LLM-based solutions, including RAG pipelines and agentic workflows for real-world use cases Develop and integrate RESTful APIs for seamless communication between systems and services ...

applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement … industry best practices to drive continuous innovation. Qualifications and Skills 5+ years of software development experience in commercial environments. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel ...

applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement … Skills 5+ years of software development experience in commercial environments. Strong programming expertise in Python, Java, and JavaScript. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. ...

management tools* Application of AI and ML data requirements including feature stores, training data pipelines, data lineage, and model grounding techniques for GenAI or LLM use cases* Background in OSS environments including network automation, orchestration, inventory, assurance, and network management systems* Exposure to telecom network domains including fixed, mobile ...

deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply LLM-based approaches, and collaborate across teams to produce production-ready systems with measurable user impact. The role emphasizes robust evaluation, scalable architecture, and mentorship to help ...

teams to work more efficiently and effectively with large volumes of content. What you’ll need: Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented Generation, prompt engineering). Familiarity with data visualization and scientific communication tools. Knowledge graph and ontology management. Python and AI frameworks for text ...

seeking a software engineer to design, develop, and deploy scalable applications using Python with a strong focus on quality and performance. You will build LLM-based solutions, including RAG pipelines and agentic workflows, develop RESTful APIs, and work across the full SDLC to deliver reliable software in collaboration with cross ...

with measurable outcomes. Lead proof-of-concept and proof-of-value work, and decide what deserves to scale. Build practical frameworks for Generative AI, LLM and wider AI adoption. Partner with Data Science, Engineering, Technology, Security, Legal and business teams to move solutions into sustainable use. Define governance around responsible ...

Profitero+ is seeking a Senior AI Agent Engineer to architect and deliver AI-powered products and workflows. You will design, implement and deploy LLM-based systems and agentic apps, collaborating with product, design and engineering to turn requirements into scalable solutions. You will lead production deployments, optimize performance and costs ...

player in our AI team, responsible for driving the technical architecture and implementation of our next-generation AI products, taking AI/LLM models from prototype to production to power Profitero+ products and internal tools. Responsibilities Design, develop, and deploy LLM-based systems, agentic applications and complex AI workflows using ...

Python Developer - AI/LLM Platform Ncounter is supporting a growing technology consultancy looking for an experienced Python Developer to take ownership of production AI and LLM platforms supporting secure, business-critical services. This is a hands-on software engineering position, combining new development with responsibility for established production systems. … will work within a sizeable existing codebase, building Python services and APIs, integrating LLM capabilities and improving the security, reliability and maintainability of live platforms. Rather than replacing existing systems, you will be expected to understand them quickly and improve them safely over time. Key responsibilities: • Build and maintain production ...

through deployment, creating reusable security patterns and challenging designs. The ideal candidate has a strong security architecture background with application security and AI/LLM security architecture experience, and practical exposure to Vertex AI/Gemini, #J-18808-Ljbffr ...

platform and service excellence. The role emphasizes building golden paths, developer tooling, and end-to-end software delivery governance to support ML/LLM workloads and cloud deployments. This is a chance to grow in a mission-driven, globally connected environment. #J-18808-Ljbffr ...

Core platform - the services and infrastructure that let us deploy to a multitude of public cloud providers and that powers many ML and LLM powered features. We give every other engineering team a reliable base to build on, and we own the software delivery lifecycle end to end: the tooling … exciting opportunity to grow professionally while contributing to a mission-driven organization. Responsibilities What you’ll own Reliability of platform(includes ML and LLM workloads) - model serving and inference infrastructure (GPU-backed endpoints, autoscaling, latency and cost tradeoffs), with SLOs, on-call, and incident response that cover models, not just ...