1 to 25 of 89 Permanent LLM Jobs in the South West

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

applied experience Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building ...

Solution Design: Design, build, and maintain scalable AI architectures and pipelines that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous ...

engineering work Practical understanding of AI‐first software development Experience contributing to, supporting, or governing the use of AI agents or LLM‐powered engineering workflows Ability to break down complex technical problems and guide delivery through clear, pragmatic technical direction Strong communication skills and the ability to work effectively with ...

prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

changing and wants to be at the forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However, we're far more interested ...

/ELT, modern cloud data platforms, Spark/Databricks and data architecture AI & Machine Learning - ML Engineering, MLOps, Python, model deployment, evaluation, LLM/GenAI and production AI Technical Leadership - Senior/Lead engineering roles across Cloud, Platform, Data and AI The organisations vary, but the strongest opportunities tend ...

building and improving machine learning solutions such as predictive models, segmentation and forecasting. The team is also exploring and delivering Generative AI/Large Language Model solutions, providing opportunities to work with modern AI technologies alongside established machine learning techniques. You’ll build a detailed understanding of relevant datasets, apply ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

Engineering, Software Engineering, Information Technology, or a related field) or equivalent professional experience. Familiarity with applied AI use cases such as inference, fine-tuning, LLM-based applications, or agentic systems. Strong problem-solving skills and the ability to analyze and resolve technical issues. Should have at least 2 years ...

technical leadership across a multidisciplinary AI engineering team Shape the architecture and technical direction for AI across the product suite Lead the delivery of LLM, RAG and agentic AI solutions Take ideas from discovery and proof of concept through to production Establish standards for evaluation, security, observability, governance and cost ...

hands-on Azure experience.* Demonstrable experience driving AI-assisted development in real engineering teams - hands-on with AI-powered development tools, prompt engineering, and LLM-based workflows, plus an understanding of AI governance and responsible AI practices* Strong grasp of software architecture, scalable system design, DevOps, CI/ ...

uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes. Experience designing measurement frameworks for complex customer ...

We're supporting a leading technology consultancy that is expanding its AI practice and is looking for a Senior AI Engineering Consultant to help deliver innovative AI-powered solutions for enterprise clients. This is an ...

operationalise them in a business context* →Experience managing structured data annotation, human evaluation, or labelling programmes* →Proficiency in Python; familiarity with ML frameworks and LLM APIs (OpenAI, Anthropic, HuggingFace, or similar)* →Excellent project management skills: able to run parallel programmes with multiple contributors and tight quality standards* →Clear, precise written ...

Requirements: - Must be a hands-on AWS data engineer who's gained expertise with Natural Language to SQL solutions or who's worked on LLM powered data projects/programmes. - Must have strong SQL and Python development skills. PySpark is nice to have. - Must have experience with AWS services such ...

land. They’re looking for a ML engineer with experience building & deploying production-ready software and applications in Python, specifically leveraging and building LLM capabilities with technologies such as Langchain & Langgraph. Skills/requirements; Data science/mathematical background Active SC Clearance #J-18808-Ljbffr ...

Developing bespoke solutions using C#, SQL, JavaScript, Python and related technologies Supporting reporting, data warehousing and analytics requirements Applying practical understanding of AI and LLM-based solutions to improve business processes Introducing AI-enabled capabilities within agreed governance and compliance frameworks Identifying opportunities where AI or automation can deliver measurable ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (e.g. automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...

specialists. Ability to manage multiple parallel workstreams and shifting priorities while maintaining quality and control discipline. Familiarity with AI tools, inclusive of LLM Suite, and understanding of how governed data foundations underpin safe AI consumption. Preferred qualifications, capabilities, and skills Working knowledge of Data Mesh, service catalogues and modern data ...

review quality, and reduction in repeat manual work. Secure AI Application and Cloud‐AI Guardrails Define secure design patterns for AI-enabled applications, including LLM‐based features, retrieval‐augmented generation, AI agents, AI APIs, copilots, and automation workflows. Establish cloud security requirements for AI workloads, including identity, secrets, data storage … SAST, SCA, secrets scanning, or policy‐as‐code. Ability to translate security standards and architecture requirements into practical implementation patterns. Familiarity with generative AI, LLM‐enabled applications, AI‐assisted development, or AI security risks. Strong scripting, automation, workflow design, or tooling integration experience. Excellent written and verbal communication skills, with ...

Engineering, Maths, Physics, or related degree and 5+ years of industry experience. You may also have: Experience with inference serving stacks (vLLM, SGLang, TensorRT-LLM, Triton) or ML compiler and runtime toolchains. Experience working with GPUs, TPUs, or other machine learning accelerators. A track record of contributing to or maintaining ...

specialists. Ability to hold quality and control discipline across multiple concurrent workstreams while retaining pace of delivery. Familiarity with AI tools, inclusive of LLM Suite, Github Co-pilot, Claude, and understanding of how governed data products underpin safe AI consumption. Preferred qualifications, capabilities, and skills Prior experience owning a policy ...

specialists. Ability to hold quality and control discipline across multiple concurrent workstreams while retaining pace of delivery. Familiarity with AI tools, inclusive of LLM Suite, Github Co-pilot, Claude, and understanding of how governed data products underpin safe AI consumption. Preferred qualifications, capabilities, and skills Prior experience owning a policy ...