1 to 25 of 111 LLM Jobs in the East of England

quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest). Experience with R and R Shiny for building and deploying applications. Hands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI). Advanced SQL skills and familiarity with Snowflake and REST API integrations. Knowledge ...

quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest). Experience with R and R Shiny for building and deploying applications. Hands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI). Advanced SQL skills and familiarity with Snowflake and REST API integrations. Knowledge ...

ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

security, and cloud‐native practices. Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar. Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment. Solid understanding of AI architecture, cloud platforms, APIs, model‐agnostic design ...

Experience building and deploying Shiny applications SQL development experience Experience integrating systems through REST APIs Practical experience working with Generative AI technologies Experience using LLM APIs and/or AI development tools Knowledge of prompt engineering and structured AI outputs Experience engaging directly with business stakeholders and translating requirements into ...

Shiny for developing and deploying applications. Strong SQL skills and familiarity with integrating systems via REST APIs. Practical experience with generative AI tools, including LLM APIs and prompt design. Familiarity with Git and version control, and ability to work iteratively with non-technical users. Experience with cloud data warehouses like ...

Shiny for developing and deploying applications. Strong SQL skills and familiarity with integrating systems via REST APIs. Practical experience with generative AI tools, including LLM APIs and prompt design. Familiarity with Git and version control, and ability to work iteratively with non-technical users. Experience with cloud data warehouses like ...

safe AI‐in‐the‐SDLC practices, code review, automated testing and staged CI/CD for AI‐generated changes. Familiarity with integrating AI/LLM services into applications (M365 Copilot, Azure OpenAI or equivalent APIs). Required Skills & Experience Front‐end skills: strong commercial experience with JavaScript, TypeScript, React ...

data and model layers of our client projects: designing and building the pipelines that feed AI systems, developing and deploying ML and LLM‐powered solutions, and standing up the RAG pipelines and agentic AI systems. Your role will include planning, tool use, and human‐in‐the‐loop guardrails that power … reliability Design and implement RAG (Retrieval‐Augmented Generation) systems using vector databases (Pinecone, Weaviate, Chroma), including embedding, chunking, and retrieval‐quality evaluation Integrate LLM APIs (OpenAI, Anthropic, etc.) into production services and product workflows Design and build agentic AI systems (multi‐step planning, reasoning, tool use, and memory) using frameworks ...

testing), plus solid R with experience building and deploying Shiny applications Good SQL and experience integrating systems through REST APIs Practical experience building with LLM APIs or AI coding tools, including prompt design and structured outputs Comfortable with Git and working iteratively with non-technical users, translating their needs into ...

architecture for RES’s data and AI platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology. Reporting to the Head of Data and Analytics … engineering, and works closely with our data architects and engineers on how AI uses enterprise data. You will establish standards optimized for LLM reasoning, and coding multi-agent orchestration frameworks. You will work alongside our established Platform Operations team—who handle the day-to-day platform run, infrastructure maintenance ...

coding tools, with the discipline to review their output. Nice to have Experience with GraphQL, especially federation. Experience with MCP, LLM-based tools or agentic systems. Experience with government/sovereign cloud or China deployments. Experience delivering a product as both SaaS and on-prem. Experience with AWS, Azure ...

scaling. Technology Validation & Model Evaluation Design and execute the technical assessment of AI models, and emerging technologies to ensure enterprise-grade performance. Apply structured LLM validation frameworks to assess model performance, accuracy, safety, and technical suitability. Review external AI products and services from a technical perspective to gauge architectural ...

agents, dashboards and interfaces, ensuring compliant and scalable solutions within a regulated healthcare context. Required are strong Python/R/R Shiny skills, LLM API experience, and expertise in CI/CD, AWS, and data governance. Adecco emphasizes inclusive recruitment and structured evaluation. #J-18808-Ljbffr ...

experience developing and deploying Shiny applications. Good SQL knowledge and experience integrating systems through REST APIs. Practical experience building Generative AI solutions using LLM APIs, prompt engineering and structured outputs. Experience with Git/version control and working with non-technical stakeholders Experience in pharmaceutical R&D or another regulated ...

with version control (Git) and a real change-managed delivery workflow, not ad-hoc scripts on a laptop. Ability to work with AI/LLM tooling (Claude Code preferred) as a practical means to an end, including prompt design and evaluating output quality. Clear written communication - can document what ...

runtime and systems software for high-performance AI workloads. The work will focus on improving the performance and efficiency of AI inference, including large language model workloads and multi-accelerator execution. Key Responsibilities: You will: Design, prototype and implement runtime optimizations for AI workloads, with a focus on low-latency ...

models directly into decision-making and translate computational outputs into guidance that is accessible to non-experts. Prototype exploratory, agent-driven workflows that combine LLM-based reasoning with cheminformatics tools, predictive models and experimental data to accelerate hypothesis generation, literature and data triage, and iterative design/make/test ...

meta-heuristic algorithms as an alternative to the above software. A working knowledge of optimisation, simulation, and statistical concepts. A working knowledge of LLM tools. Experience in good software development practice, ideally including Python, and deployment practices such as CI/CD, testing, version control. A track record of understanding ...

engineering data and translate findings into practical improvements Strong organizational skills and ability to understand and improve complex engineering workflows Experience with AI/LLM tools, AI agents, or agentic workflows for engineering automation, data analysis, or workflow optimization is a plus. Experience with photonics, semiconductor fabrication, device characterization ...

code with confidence. Hands‐on experience building agentic systems using frameworks such as LangGraph, Microsoft Agentic Framework, or MCP, with a solid understanding of LLM capabilities and risks. Experience designing and running experiments to validate ideas quickly, using technical prototypes, customer feedback, and lean startup principles to test assumptions ...

recommend potential outcomes, and build a solution based on consensus. Take ownership of building data models, prototypes, and solutions that drive customer success. Use LLM to build comprehensive data schemas and parsers for pre-clinical data (main data sources: R&D lab instruments, manufacturing, CRO, CDMO, ELN, LIMS) with various ...

security into a multi-tenant platform, including authorization boundaries between tenants and handling of sensitive data such as PII and PHI, with awareness of LLM-specific risks like prompt injection and tool abuse. Extensive experience building and maintaining AI/ML infrastructure in production, including model deployment and lifecycle management … single team. Candidates whose experience is limited to building pipelines for their own team will not be a fit. Deep, hands-on experience taking LLM-based systems to production, including RAG architecture, retrieval and embedding design, prompt and model versioning, and tool or function calling. Not just prototyping with ...

Postgres. AWS, or another cloud (ECS/Fargate, Lambda, SQS, S3, or the equivalents). Docker. Infrastructure as code (Pulumi, Terraform, or similar). LLM and AI integrations, or event-driven pipelines. A plus, not a must. It's also a plus if you're someone comfortable working with customers ...

Operational Governance Partner with EAI on token economics on shared EAI tooling and standards Continuously optimise AI for IT value versus costs by adapting LLM models, their usage, architecture and operation. Ensure agents are secure, observable, resilient, compliant and cost-effective. Define measurable controls for lifecycle management, performance, risk ...