1 to 25 of 578 LLM Jobs in England

platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. Your Role As a Senior ...

Exposure to downstream customer platforms and trading ERP systems. Experience with platforms such as Azure ML Studio, Foundry, and Databricks Mosaic. Familiarity with NLP, LLM deployment, Agentic AI frameworks (MCP, A2A, N8N), and retrieval-augmented generation (RAG) systems. Roles and Responsibilities: Lead the end-to-end development and delivery ...

Kubernetes, and GPU-based compute infrastructure. Working knowledge of generative AI and hands-on experience deploying and hosting large foundation models. Experience with large language model architectures such as transformers, GANs, and VAEs, along with fine-tuning techniques, retrieval-augmented generation, contextual embeddings, vector databases, and semantic search tools Experience ...

driven solutions for: Fraud detection & anomaly detection Reconciliation automation Payment routing optimization Intelligent exception handling AML pattern detection Define model selection approach (ML, LLM, GenAI, rule-based hybrid models) Design scalable, cloud-native AI architectures 3. Hands-on Development Develop ML models/AI workflows using Python and relevant frameworks ...

services, and user-facing interfaces. Develop GenAI, Agentic AI and machine learning solutions that are scalable and production-ready. Design and implement RAG pipelines, LLM-powered applications and intelligent agents . Integrate AI solutions with enterprise platforms and cloud environments . Collaborate with data scientists, engineers and business stakeholders ...

platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector databases, while shaping impactful consulting solutions across industries like Banking, Finance, and Capital Markets. As a Senior Lead Analyst ...

include: Cloud platforms such as **AWS, Azure or Google Cloud** Data platforms including **Databricks, Snowflake or BigQuery** Python and modern ML frameworks Generative AI, LLM integration and RAG pipelines MLOps tooling and modern ML lifecycle management. The profile Experience designing enterprise AI or data platforms in complex technology environments. ...

software engineering, or data engineering. Programming experience (especially Python) Experience writing clean, maintainable Python code. Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows. Agentic frameworks in Python is a plus ...

encryption at rest and in transit, and secrets management (AWS Secrets Manager, HashiCorp Vault). • Develop and enforce governance frameworks for working with LLM APIs and AI services, including data protection, PII safeguards, and compliance requirements. • Conduct security audits, vulnerability assessments, and implement remediation strategies to maintain a secure infrastructure. ...

conversational AI systems • Experience with patient-facing systems • Familiarity with cloud infrastructure (GCP, AWS, or Azure) • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique ...

architecture. • Cloud Expertise : Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. • GenAI & LLM Depth : Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). • RAG & Orchestration : Proven experience designing complex ...

roadmap with stakeholders, and shipping production-grade AI systems that prove value quickly. You’ll work across GenAI and applied ML. Typical initiatives include LLM-powered personalisation/agent workflows, and optimisation/forecasting solutions across physical sites (maintenance processes, utilities spend, and member experience at scale). Role summary ...

architecture. • Cloud Expertise : Architectural expertise with one primary cloud platform (Azure, GCP, or AWS) and hands-on familiarity with at least one other. • GenAI & LLM Depth : Demonstrated experience architecting and guiding solutions using GenAI platforms (e.g., Azure OpenAI, Vertex AI, or AWS Bedrock). • RAG & Orchestration : Proven experience designing complex ...

. Experience designing cloud-native and/or on-prem data solutions . Exposure to automation and AI-enabled data processes , with awareness of LLM use cases within data workflows. Experience working in Agile delivery environments (Scrum, Kanban, DevOps). Strong analytical and problem-solving skills, with the ability ...

Server). Experience designing cloud-native and on-prem data solutions. Exposure to AI/ML initiatives , AI-enabled automation, and an understanding of LLM concepts and their data workflow applications. Experience working in Agile environments (Scrum, Kanban, DevOps). Strong analytical, problem-solving, and communication skills, with the ability ...

methods – automating testing and evaluation of both deterministic and generative AI conversations. Required Skills Must Have Python – minimum 2+ years experience building production-grade LLM applications. Strong software engineering fundamentals, including microservices architecture, CI/CD pipelines, and event-driven architecture. AI Engineering experience including: RAG pipelines Prompt engineering Vertex ...

digital therapeutics, or regulated healthtech Deployed LLMs or predictive models in production environments Familiarity with FHIR, HL7, or secure health data pipelines Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package Competitive salary + meaningful equity Work directly with and be mentored by two highly ...

science or software engineering. Key Skills: Artificial Intelligence, Machine Learning, Data Science, Python, AI Engineer, Data Analyst, NLP, Deep Learning, Generative AI, Graduate Developer, LLM, Software Engineering. ...

data transformation initiatives. This position is ideal for someone with strong hands-on experience across AI/ML architecture, cloud AI services and large language model technologies, alongside the ability to communicate complex technical concepts to both technical and non-technical stakeholders. Responsibilities Translate senior stakeholder vision into AI/ ...

environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform ...

Leader in Credit Ratings and Financial Research currently seeking a specialist Generative AI Engineer for a high-priority, long-term contract. The Core Mission LLM Orchestration: Design and deploy sophisticated RAG (Retrieval-Augmented Generation) pipelines to query vast proprietary financial datasets. Model Optimization: Fine-tune open-source and proprietary models ...

problem-solving, and mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

problem-solving, and mentor junior members on modern security principles. Collaboration: Work closely with AI Engineers and Data Scientists to integrate security into the LLM lifecycle (RAG pipelines, fine-tuning, and inference). Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

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 ...

Engineer: Lead end‐to‐end delivery of scalable, resilient AI/ML pipelines aligned to business goals. Build and deploy advanced ML, DL, and LLM solutions, including RAG, agentic architectures, and evaluation frameworks. Mentor engineers in ML engineering, orchestration, and modern AI best practices. Communicate system behaviours, risks, and outcomes ...