1 to 25 of 172 LLM Jobs in Slough

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 ...

optimisation, and intelligence across multiple industries. What You'll Be Doing: Designing, developing, and deploying machine learning and AI models Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines Implementing end-to-end workflows: from data acquisition, cleaning, and feature engineering to model training, deployment ...

lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic background in IT/Computer Science/Artificial Intelligence/related field Microsoft/AI related certifications Immediate availability If you're interested ...

within finance, fintech, or consulting, especially in regulated environments. Deep understanding of AI governance, ethics, guardrails, compliance, and data privacy. Experience building or deploying LLM-powered systems, agentic workflows, and code-generation pipelines. Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases. Exceptional communication ...

mindset and curiosity for learning. Nice to haves: Front-end development (Typescript, React, NextJS...) or full-stack exposure Built or orchestrated multi-step LLM or agentic workflows Experience with financial workflows (credit, investment, ESG, risk) Infra/ops exposure (Kubernetes, Terraform, Azure/AWS, CI/CD, observability) Experience ...

roadmap and tooling choices going forward You Have: Strong Python skills and real-world ML engineering experience Strong experience with modern GenAI/LLM frameworks: LangChain, LangGraph, PyTorch, etc. Comfort working with unstructured data: entity extraction, semantic search, vectorisation, RAG-like patterns Awareness of data engineering: pipelines, legacy data extraction ...

lean development practices. Desirable: Experience in edtech, innovation, or new product development. Hands-on front-end development experience. Experience building AI/ML/LLM-powered applications. Interest in LLMs and emerging AI technologies. Experience with big data tooling. Package: 6 months initial contract £650 p/day (Outside IR35 ...

JIRA tooling Excellent communication, prioritization, and stakeholder management skills Desirable Knowledge of SAP AI Foundation, Joule, ABAP Cloud, RAP, or Datasphere Familiarity with LLM integration, ML ops, or hyperscaler AI services Prior experience in a cloud-native SaaS environment Selected applicant will be subject to a background investigation, which will ...

Required experience: Previously built and deployed multi-agent systems end-to-end Strong hands-on expertise with LangGraph Experience with knowledge graphs, RAG and LLM tool orchestration Proven software engineering fundamentals (Python preferred) Solid MLOps grounding: Kubernetes, CI/CD, Docker, cloud platforms (GCP/AWS/Azure) Comfortable presenting ...

from you. Seniority Level Mid-Senior level Industry IT Services and IT Consulting Employment Type Full-time Job Functions Analyst Skills Large Language Models (LLM ...

ensure project deadlines are met. Design, prototype, and deploy Generative AI models (LLMs, Transformers, Diffusion models) for enterprise use cases. Build and fine-tune LLM-based applications (chatbots, summarization, document Q&A, report generation, code assistants, etc.). Apply prompt engineering, RAG (Retrieval-Augmented Generation), and context-aware pipelines ...

Python, 4+ years Django, 3+ years Experience in the following areas would be a benefit: React, Postgres AWS SQL Computer Science degree Team Lead LLM Soft skills Great communication skills Proactive mindset Problem solving Approximate salary range - £55,000 - £60,000 per year - depending on experience. If you prefer ...

healthcare. Responsibilities: Design and build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. ...

occasional team gatherings Salary: Senior: €130–150k base + growth trajectory Principal: €160–200k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We're looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers ...

healthcare. Responsibilities: Design and build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. ...

Design and build robust, scalable cloud-first backend systems. Contribute to infrastructure-as-code practices and DevOps tooling. Build and maintain LLM-powered features such as RAG pipelines for clinical information. Develop and optimise agentic document extraction workflows to process clinical PDFs, policies, and handbooks into structured formats. Collaborate closely ...

Senior Research Scientist - Multimodal AI & Generative Models Leading Enterprise AI & LLM Company Remote/Hybrid | Competitive Package + Equity This role is with a world-class research team at a rapidly growing AI company that's revolutionizing how enterprises adopt and deploy AI solutions and are hiring exceptional researchers ...

Lead AI Engineer Tech Focus: Microsoft Azure AI Stack/LLM/Agent Orchestration/Data Science Salary: £90,000 – £100,000 + 20% Bonus + 20% Employer Pension Contribution Location: London – Hybrid This is an exciting opportunity for a Lead AI Engineer to join a prestigious financial organisation ...

hard technical problems with real enterprise impact. Nice to Have Experience in agentic or autonomous decision-making systems (not required). Prior work on LLM alignment, grounding, tool use, or planning. Experience with enterprise data environments, knowledge graphs, or retrieval systems. Hands-on experience with large-scale training, distributed compute ...

prompt engineering, evaluation, and safety guardrails Ownership mindset — you want to build and shape the system, not just take tickets Bonus Experience with LLM fine-tuning or instruction tuning Background in edtech, assessment, apprenticeship systems, or LMS tooling Previous startup or founding-engineer experience Familiarity with SOC2/ISO data ...

cross-functional teams in commercial, R&D, medical, or supply chain contexts. Excellent communication, stakeholder management, and program governance skills. Knowledge of Generative AI, LLM integration, prompt engineering, and responsible AI frameworks. Familiarity with GxP systems, clinical data standards, PV requirements, and regulatory submissions. ...

firm's emerging AI ecosystem To succeed in this role, you will have: Excellent hands-on Python experience with experience working with modern LLM/GenAI frameworks (e.g. LangChain, LangGraph, PyTorch) with deep expertise in AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers) Excellent understanding ...

with other teams to bring data science outputs into everyday reporting and decision-making. Developing new tools and applications using the latest techniques, including LLM-based solutions. Contributing to good coding practices, documentation and knowledge-sharing across the team. Keeping an eye on new developments in the field and knowing ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

architecture from discovery through to deployment. What You'll Build You'll design and deploy sophisticated AI systems across multiple domains. This includes building LLM applications with robust orchestration, creating multi-agent architectures that handle complex workflows, and implementing advanced retrieval systems using vector databases and embeddings. You'll work ...