1 to 25 of 96 LLM Jobs in the South West

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 ...

QUALIFICATIONS Seven or more years of professional software, platform, or integration engineering experience, including two or more years building and operating production systems with LLM APIs from Anthropic, OpenAI, or comparable providers. Track record of owning a platform, shared service, or developer-enablement capability end to end, covering design, build ...

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 ...

collaboration etc Experience designing, testing and deploying production-scale GenAI (not just proof of concepts) Then a mixture of the following on top: GenAI LLM APIs Experience designing, testing and deploying AI/ML solutions Chat Bots/Agents FastAPI Microsoft Agent Framework LangChain Vector database ML Engineering Job Offer ...

patterns, Blazor and MudBlazor. Experience establishing architecture governance, decision records, technical standards or reference architectures. Experience designing, operating or governing AI agents or LLM‐enabled engineering workflows. Experience in a growing product or platform‐engineering environment. What Success Looks Like The SaaS platform has a clear technical direction, target architecture ...

development process Right to work in the UK now and in the future 1-5 years' experience Programming Languages: Python, Java Experience with LLM, machine learning, deep learning, NLP, and computer vision Strong background in software engineering principles, including deployment and maintenance of AI systems Cloud Computing: Knowledge of cloud ...

systems. You already use AI development tools and have practical experience incorporating generative AI, document intelligence or intelligent automation into working solutions. You understand LLM application patterns, including RAG and agent orchestration, and care about evaluating and monitoring what you ship. Experience with Azure, PostgreSQL, CI/CD and cloud ...

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 ...

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 ...

Mindset: Comfortable delivering iteratively within Scrum or Kanban frameworks. Desirable: AI Tooling: Hands-on experience using AI-assisted developer tools (e.g., GitHub Copilot, Cursor, LLM-based refactoring/debugging) to enhance workflow and delivery speed. Device & Mobile Platforms: Exposure to Android (native or Xamarin), Windows CE/Embedded Compact ...

security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches ...

deploying agentic architectures using frameworks such as LangChain, LangGraph, CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration. LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs. Cloud Platforms: Strong proficiency … experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code: Proficiency with Terraform or equivalent. Evaluation and Monitoring: Experience with evaluation-driven development and LLM observability tooling such as Langsmith, Langfuse, Braintrust, or similar. CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins). Database ...

systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine learning, automated ...

Minimum 1 years of substantive, hands-on AI-native engineering experience as part of your day-to-day work. This may include building with LLM APIs, coding agents, agent frameworks, tool integrations, retrieval systems, evaluation frameworks, or production guardrails. Minimum 1 year of experience building reliable AI or agentic systems ...

multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Agent Development Kit (ADK)) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Responsibilities: Serve as a developer ...

About Zaizi Zaizi is a digital consultancy specialising in delivering user-centred, secure, and scalable services for complex public sector challenges. We work in highly regulated environments, partnering closely with our clients to design and ...

Full Stack Engineer - Generative AI About the Opportunity A leading technology-focused organisation is seeking a talented Full Stack Engineer to help design, build and scale innovative Generative AI solutions. This is an exciting opportunity ...

Cheltenham. Hybrid role with two office days per month, offering a competitive salary and benefits package. You will develop and optimise AI agents and LLM-powered workflows, integrating with SOC tooling to accelerate detection and response. You will configure LLMs, build secure AI architectures, govern data handling, and manage costs ...

Shapely, rasterio, PostGIS) or on the web (Leaflet, Mapbox GL/MapLibre, OpenLayers, Turf.js, or working with GeoJSON and map tiles)Experience building with LLM agent SDKs and APIs - OpenAI, Anthropic, or similar (function/tool calling, agent frameworks, or integrating AI features into products)Deeper Laravel experience (Eloquent, queues ...

Salary: £50,354 to £60,036. This includes a basic salary, skills payment, and a concessionary payment of £2,758. The final amount will depend on your skills and experience. You’ll also receive a ...

experience in software development life-cycle and stakeholder management. 2 years of experience developing or launching products or technologies within GenAI, AI/ML, LLM's. Preferred qualifications: Bachelor's degree in Computer Science, AI-related technical field, or equivalent practical experience. 5 years of experience managing cross-functional ...

Founding Engineer – Systems and Safety Engineering The first stage of our application process is a short Q&A session with our LLM interviewer. If you don't wish to proceed at any stage, you may type 'end interview' Where you'll fit in A small and focussed team has been ...

maintain services for standalone and research networks. Design and implement centralised authentication solutions. Support self-hosted and emerging technology platforms, including AI/LLM infrastructure. Business Continuity & Improvement Own backup, disaster recovery, and business continuity processes. Regularly test recovery procedures and backup integrity. Deliver infrastructure improvement projects that enhance operational ...

Founding Engineer - Robotics and Embedded Systems The first stage of our application process is a short Q&A session with our LLM interviewer. If you don't wish to proceed at any stage, you may type 'end interview' Where you'll fit in A small and focussed team has been ...