1 to 25 of 558 LLM Jobs in the UK

systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯

systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector Databases: Deep More ❯

to ask us about the access to work scheme. Desirable Skills Experience using Azure OpenAI and foundational LLMs for Retrieval-Augmented Generation (RAG), including open-source implementations. Experience with LLM architecture (e.g., Transformer, GANs, VAEs), Fine-tuning PEFT/LoRA, Context embedding, Vector database technologies, and Semantic Search techniques & tools. Familiarity with Azure cloud platform services and distributed computing frameworks More ❯

Mathematical, IT, Data) Project Management Qualification (e.g. PRINCE2) Experience Essential Minimum 3 years in a Data related field Proficiency in SQL Proficiency in Python (Machine Learning, Deep Learning or LLM Frameworks) Desirable Minimum 2 years experience in Data related field Minimum 2 years in a Business or Management Consulting field Experience of Docker, Hadoop, PySpark, Apache or MS Azure Minimum More ❯

with AI-driven development tools such as Cursor, Copilot, or Replit Ghostwriter. Understanding of infrastructure and DevOps (Terraform, Ansible, AWS, Kubernetes). Interest in building or orchestrating AI/LLM agents. A passion for software security and data integrity. Logistics: Compensation: Based on experience. Employment type: Permanent. Employee share option pool: Available - you will earn a stake in the company More ❯

AI Solutions Engineer AI Solutions, B2B, B2C, Azure, AI Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid More ❯

to a team culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills: Proficiency in multiple modern programming languages, including Python, Golang, and TypeScript Experience with GPT, LLM, RAG, Gen AI, and prompt engineering technologies Background in developing, debugging, and maintaining code in a large corporate environment Familiarity with agile methodologies such as CI/CD, application resiliency More ❯

in non-technical terms to business users. High proficiency in MS Office, particularly PowerPoint and Excel Experience in Retail and consumer goods is highly advantageous. Experience integrating GenAI/LLM solutions into enterprise workflows. Experience in consulting (including internal consultancies) is highly advantageous. Professional fluency in English required. More ❯

production environments. Excellent communication skills, with the ability to convey technical information clearly and build trust with stakeholders at all levels. Preferred Qualifications, Capabilities, and Skills Practical experience deploying LLM-based applications into production and an understanding of MLOps. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most More ❯

future of intelligent automation at the Service. Key responsibilities Assess and clarify requirements to provide estimate of the work. Working within a distributed team, delivering high quality solution Delivering LLM and Gen AI based automations that supports the business team in enhancing the customer journey Maintaining our existing machine learning pipelines Identifying opportunities for Continuous Improvement and optimizations of existing More ❯

a Senior Software Engineer I , you'll play a central role in building the backend systems that bring Axon Assistant to life. You'll work across real-time APIs, LLM-integrated services, and edge-to-cloud pipelines to help first responders get intelligent, actionable support exactly when they need it. You'll contribute to architectural decisions, mentor other engineers, and More ❯

Ensure your agents comply with regulations (GDPR, financial compliance) and guard against bias, hallucinations, and misuse. What You Bring Technical Mastery: Strong skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker More ❯

and engineering teams. Ability to assess data dependencies, business constraints, and success criteria to deliver AI solutions that meet user and business needs. Expertise in AI Solution Architecture, including LLM/SLM (Large Language Models/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

Knowledge, Skills and Abilities Strong programming skills in Python, R, or similar languages, with experience in modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability More ❯

code (Terraform, AWS CDK). Excellent problem-solving skills and ability to translate business requirements into technical solutions. Preferred: Experience with AI chatbot frameworks (Dialogflow, Rasa, BotPress, or custom LLM integrations). Exposure to AI ethics, data privacy, and compliance regulations. Prior experience in multi-agent systems or autonomous AI workflows. Hands-on experience with vector databases (Pinecone, Weaviate, FAISS More ❯

experience writing scalable, production-ready code. Hands-on experience with PyTorch, Transformer architectures, and Large Language Models (LLMs). Demonstrated success delivering Computer Vision and/or NLP/LLM projects into production. Solid understanding of model deployment, pipelines, and software development fundamentals. Expertise in Deep Learning, including training, evaluation, and optimisation. Strong grounding in mathematics, statistics, and data analysis. More ❯

technology infrastructure, network, compute, storage, and virtualization experience - AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, SageMaker pipelines, Glue, LakeFormation, LLM, Bedrock, Datalake, MLOps, Model inference, Model Monitoring, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform More ❯

such as credit decisioning, fraud detection, personalized banking, claims processing, underwriting automation, and algorithmic trading. Provide consulting on Gen-AI scalability, governance, prompt engineering, Gen-AI factory setup, and LLM fine-tuning. Integrate advanced AI technologies using platforms like OpenAI, Anthropic, Meta's LLaMA, and emerging multi-modal models. Design and deploy autonomous agentic AI systems for financial applications, including More ❯

Next.js (preferred), with flexibility for other modern frameworks Infrastructure: AWS (including Lambda, S3, DynamoDB), DigitalOcean Data: MySQL, Redis, NoSQL stores Dev tools: GitHub, CI/CD, Docker AI & Automation: LLM APIs, vector databases, agentic workflow tools, n8n, Claude Code, Cursor What were looking for We know no one ticks every box, but proven experience in leading engineering teams and building More ❯

feedback early in the lifecycle to reduce defects and improve design. ? Mentor junior testers, encourage continuous learning, and contribute to a culture of innovation. ? AI & Cloud Expertise ? Familiarity with LLM evaluation techniques, output scoring, and validation frameworks. ? Understanding of key concepts such as prompt engineering, RAG , model orchestration, and hallucination detection. ? Experience in testing for accuracy, relevance, and consistency of More ❯

solutions that deliver business value. You'll work with cross-functional teams to define strategy, build innovative solutions, and guide stakeholders on AI adoption. Key Responsibilities Build and refine LLM/SLM-based AI solutions (RAG, fine-tuning, prompt engineering). Design and oversee AI solution architecture (cloud & on-prem). Develop and deploy ML models into production. Identify AI More ❯

solutions that deliver business value. You'll work with cross-functional teams to define strategy, build innovative solutions, and guide stakeholders on AI adoption. Key Responsibilities Build and refine LLM/SLM-based AI solutions (RAG, fine-tuning, prompt engineering). Design and oversee AI solution architecture (cloud & on-prem). Develop and deploy ML models into production. Identify AI More ❯

technologies (Docker) Basic understanding of Java, with a willingness to develop expertise and contribute to Java-based pipelines as needed Experience in using AI-based methods, such as NLP, LLM for efficient data processing Other helpful information: Hybrid Working - At EMBL-EBI we are pleased to offer hybrid working options for all our employees. A dedicated desk will be available More ❯

exhibits good interpersonal skills. Able to prioritise, multi-task, and deliver at pace with an iterative mindset. Experience with modern data platforms such as Databricks or Snowflake is advantageous; LLM API experience is a bonus. What’s in it for you?: Competitive salary that reflects your skills, experience and potential. Discretionary bonus scheme that recognises your hard work and contributions More ❯