1 to 25 of 89 LLM Jobs in the South East

more Expect to work on 1-2 major projects, with high-impact, end-to-end ownership. What you'll be doing Build and deploy LLM-based applications , including RAG systems, chatbots, and agentic workflows Apply traditional ML techniques (e.g. regression, classification, gradient boosting) where appropriate Design and deliver ...

audit standards Champion scalable, secure, and efficient AI implementation. What We're Looking For Core Skills & Experience Strong experience in AI Engineering, ML/LLM applications, or intelligent automation Solid Java engineering background with production-quality coding practices Experience with CI/CD tools e.g., Jenkins, GitLab CI Hands ...

appreciation of wider data science techniques, sufficient to collaborate credibly with Data Scientists and Actuarial colleagues. Hands-on experience applying AI and LLM tooling to analytics work (such as Copilot for Power BI/Fabric, MCP-style integrations or agentic assistants). Experience with Microsoft Fabric, dbt, Azure DevOps/ ...

Building and optimising cloud-native services and distributed systems within AWS environments. Developing intelligent search and AI-driven workflows, including semantic search and large language model integrations. Collaborating with engineers, product teams, and stakeholders to deliver robust technical solutions. Contributing to architectural decisions, engineering standards, and best practices across ...

ideally C# or Python Azure (Azure Fabric, Data Factory, ML Studio, Foundry, Synapse, Cosmos etc) 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 ...

Govern: Design and implement robust on-premises, cloud, and hybrid AI solutions, ensuring strict technical governance and best practices across the delivery lifecycle. GenAI & LLM Engineering: Take a hands-on approach to deploying, fine-tuning, and customising pretrained LLMs. Build intelligent systems utilising Prompt Engineering, Vector Databases, Azure OpenAI ...

deep learning frameworks (e.g., OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2) Experience with both supervised and unsupervised machine learning, including computer vision, NLP, and LLM-based systems Familiarity with ML/MLOps pipelines for development and deployment Solid understanding of ML/DL fundamentals (e.g., CNNs, object detection, segmentation) Knowledge ...

with success selling AI-led transformation programs . Deep experience in solution selling rather than product selling. Demonstrated success in selling: Generative AI and LLM-based enterprise solutions Predictive and prescriptive analytics Intelligent Automation (RPA + AI) Data Engineering, MLOps, and AI platforms Ability to articulate AI ethics, governance, security ...

learning and AI projects from problem definition to production. Designing models from scratch across both structured and unstructured data use cases. Building and deploying LLM based solutions including summarisation and agentic workflows. Delivering traditional machine learning models using techniques such as gradient boosting. Working closely with product, engineering, and business ...

fast-paced, iterative environment. Desirable Experience Exposure to Azure’s AI ecosystem (AI Foundry, AI Search, Cosmos DB, AKS). Experience integrating AI/LLM-based services into production systems. Familiarity with modern development tooling such as VS Code and AI-assisted coding tools. Why Apply? Work on a genuinely ...

execute complex workflows. This is a unique opportunity to work at the intersection of Generative AI and robust software engineering, applying cutting-edge LLM techniques to high-stakes, real-world data. What You'll Be Doing Agentic System Design: Build intelligent AI agents capable of autonomous task execution using LLMs … advanced reasoning frameworks. LLM Specialization: Implement RAG (Retrieval-Augmented Generation) pipelines and fine-tune models using PEFT/LoRA to create domain-specific insurance experts. Production Engineering: Design and maintain robust ETL/ELT pipelines and manage the lifecycle of models using Docker, Kubernetes, and CI/CD . Responsible ...

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

following: Develop and enhance AI and machine learning models, including scorecards and predictive models. Work on innovative use cases such as chatbots, transformers, and LLM-based applications. Conduct research and development to identify new AI-driven solutions in lending and risk. Contribute to new product development and AI-led offerings. ...

technical debt Collaborate with Data teams to align product design with data quality, structure, and AI use cases Identify and embed practical AI and LLM-driven functionality into workflows and the product experience Act as the day-to-day product contact for commercial teams and senior stakeholders Your Skills ...

really matter here. Tech highlights: AWS, Terraform, CI/CD ECS/container platforms API gateways (Kong or similar) AI/ML workloads + LLM integrations They’re looking for someone who: Is genuinely hands-on and opinionated about good architecture Has worked on shared platforms across multiple teams Understands ...

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 ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent … features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments ...

Familiarity with APIs, microservices, and cloud platforms (Azure, AWS, or GCP) Experience handling and processing large datasets Knowledge of prompt engineering, fine-tuning, or LLM orchestration frameworks (e.g. LangChain) Strong problem-solving abilities and a passion for innovation Ability to communicate technical concepts to non-technical stakeholders Ability to work … mindset with strong attention to detail The Software Engineer role will involve: Designing, developing, and maintaining AI-driven applications and services Building and integrating LLM-based solutions into existing systems Developing scalable back-end services using Python and/or Java Collaborating with data scientists and engineers to deploy machine ...

requirements, demonstrate solutions and iterate delivery Document architecture designs, decisions and best practices Required Skills & Experience 1+ year hands-on experience deploying GenAI/LLM applications into production Experience with AWS services such as Lambda, SageMaker, Bedrock, S3, EC2 and ECS Strong Python development skills with modern AI/… libraries Practical experience using at least one LLM API Solid understanding of prompt engineering, RAG architectures and vector databases Experience with LangChain, LangGraph, LlamaIndex or similar frameworks Familiarity with Git and CI/CD workflows Bachelor’s degree in Computer Science, Engineering or a related discipline (2.1 or above) Highly ...

Package: £28,000 to £30,000 basic + uncapped commission (Year 1 OTE: £47,000) Company overview: Specialist AI recruitment business placing into GenAI, LLM and applied AI teams across Europe and the US. Team of 30 generating £8m revenue, working with VC-backed AI companies and global tech firms. ...

Senior AI Engineer | Reading, Hybrid | £75,000 £100,000 + bonus + exceptional benefits Build production-grade LLM and GenAI solutions inside one of the UK's fastest-growing enterpise AI teams. This is a hands-on engineering role with a multi-award-winning UK consultancy whose AI practice … defence clients. You'll be designing, building and shipping enterprise GenAI systems in Python. What you'll be doing Designing and building production LLM and GenAI solutions in Python from prototype through architecture to deployment. Implementing advanced RAG pipelines hybrid search, re-ranking, query rewriting, context compression, evaluation and grounding. ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role Youll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying intelligent … features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation prototyping production Optimise model performance, cost, and latency in real-world environments ...

organisation making a real-world impact. This is a rare opportunity to shape the AI strategy, design production-grade systems, and bring cutting-edge LLM-powered solutions into a live product environment. The Role You’ll sit at the intersection of AI, backend engineering, and cloud systems , designing and deploying … intelligent features that directly impact users. Expect to: Design and implement LLM-based applications (RAG pipelines, agents, copilots) Build scalable backend services using Python and Java Integrate AI into existing cloud-native SaaS platforms Own the full lifecycle: experimentation → prototyping → production Optimise model performance, cost, and latency in real-world ...

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21 ...

reduce ambiguity and unblock teams Collaborate with Data to ensure alignment with data structure, quality and definitions Identify and embed practical AI and LLM use cases across matching, data enrichment and user experience Reduce reliance on manual processes and spreadsheets through automation Your Skills and Experience Strong commercial experience owning ...