1 to 25 of 98 LLM Jobs in the City of London

accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery Design, build, and deploy production‐grade AI/ML solutions , including: LLM‐enabled applications (RAG, agents, copilots) Predictive models and intelligent automation AI services embedded into modernised platforms Own end‐to‐end AI lifecycle : discovery, PoC, productionisation, monitoring ...

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 ...

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 ...

with Amazon Bedrock APIs, SageMaker (Training Jobs, Inference Endpoints), and Vector Databases. · Frameworks: extensive experience with LangChain, LlamaIndex, or LangGraph for building agentic workflows. · LLM Techniques: Practical experience with Prompt Engineering (Chain-of-Thought, ReAct), RAG optimisation, and model evaluation techniques. Advantageous Skills · Middleware Integration: Practical experience building recipes ...

discovery to production, with a clear understand of the Data Science & Machine Learning Lifecycles. Demonstrated track record of implementing and fine-tuning LLM/AI workflows. Strong competency leveraging Gen AI in your daily tasks to speed up efficiency. Excellent communication skills, able to work across departments, engage with senior ...

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 ...

structured and unstructured. Description of the role The role will involve leading a team deploying forensic analytics (including testing routines across structured data and LLM-enabled unstructured, structured and open-source data analysis) over large datasets to help our clients solve their most complex fraud, misconduct and integrity matters. This ...

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. ...

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 ...

concepts and cut through industry hype to focus on practical outcomes Solution Development Help shape AI-enabled products and solutions using modern architectures including: LLM-based applications RAG pipelines AI orchestration layers agent-based systems Work closely with data scientists, ML engineers, and data engineers to move ideas from concept ...

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 ...

libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and GitHub Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude), including prompt engineering, fine-tuning, and evaluation. ...

define Generative AI opportunities and use cases Lead client workshops and shape AI strategy and roadmaps Architect and deliver scalable AI solutions, including LLM and agent-based systems Lead end to end delivery of complex AI projects across global teams Mentor engineers and data scientists and drive best practice ...

other regulatory checkpoints. Implement automation across entity matching, data validation, and workflow orchestration using AI/ML. Implement agentic AI and LLM-based services to streamline onboarding, document processing, and exception handling. Ensure compliance with data privacy, data sovereignty, and regulatory architecture patterns (e.g., regional sharding, zero-data copy patterns ...

business strategy, enterprise standards, and regulatory requirements. Key Responsibilities: Enterprise AI Architecture & Roadmap: Define and maintain the AI reference architecture and implementation roadmap, covering LLM platforms, data pipelines, knowledge graphs, APIs, microservices, and event-driven architectures across hybrid cloud environments. Governance & Standards: Establish AI governance frameworks, policies, and playbooks ...

learning, NLP and large language models to solve complex research and data problems. The team is focused on developing scalable, intelligent systems , increasingly incorporating LLM-powered and agentic workflows to automate sophisticated tasks. As one of the early engineering hires, you will play a key role in building and scaling ...

design patterns AI/ML Infrastructure Feature engineering architecture ML pipeline and deployment workflows Experience supporting production ML systems Familiarity with embeddings, vector databases, LLM orchestration (desirable) Data observability and model monitoring Platform & DevOps CI/CD for data workflows Git-based engineering standards Docker/containerisation Infrastructure-as-code ...

Product & Technical programme Management (The Architects): - Drive the roadmap for GenAI integration within safety workflows. - Define the "Safety Standard" for AI responses and manage LLM-powered triaging. - Success Metric: Reduce "Safety False Negatives" and ensure smooth transitions from AI to human safety agents. 2. Data Science & Analytics (The Strategists): - Build ...

architectures Key skills Cloud engineering (Azure, Kubernetes, serverless, DevOps) Python and relational databases (SQL) Data platforms, ETL/ELT, and analytics AI tools and LLM integrations (e.g. GPT, Claude, Gemini) Security, governance, and regulated environment experience Why this team? Work in a high-performing, cooperative team Exposure to advanced ...

Stats, ML, Engineering, etc.) 4+ years in AI/ML engineering, or strong software engineering background with a move into AI Proven experience deploying LLM or agent-based systems into production Solid engineering fundamentals across orchestration, memory, deployment, and monitoring Experience with tools/frameworks like LangGraph, ReAct ...

Base Salary + Discretionary Bonus + Equity About Zettafleet Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple ...

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 ...

platform engineering experience (Python, Go, or Java) Experience with distributed systems and cloud (GCP preferred) Hands-on Kubernetes and cloud-native tooling Familiarity with LLM frameworks (e.g., LangChain, CrewAI) Experience with vector databases and RAG CI/CD and infrastructure-as-code skills Understanding of AI reliability, monitoring, and governance ...

troubleshoot ontology logic and query performance. Desired Experience Familiarity with metadata standards (Dublin Core, schema.org). Experience integrating semantic technologies with AI/LLM workflows. Proven track record of embedding semantic layers into enterprise systems. Hands-on with tools like Protégé, semantic reasoners, or cloud-based graph services (AWS Neptune ...

React and Node.js ecosystem, we believe in using the best tool for the job. You’ll have the space to bring new tools, LLM-augmented workflows, and modern cloud patterns into the fold. A Culture of Sharing: This is a "no-ego" environment. Whether it’s a weekly tech demo ...