1 to 25 of 208 LLM Jobs in the City of London

platforms (Azure preferred; AWS or GCP also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual ...

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 ...

classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt ...

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 ...

energy consumption, etc.; Build and evaluate models using appropriate techniques, including: Classical Machine Learning, e.g. regression, tree-based methods, uplift models, time-series forecasting, LLM and generative AI, e.g. prompt engineering, retrieval-augmented generation, fine-tuning or adapters where appropriate. Design and implement prediction models for use cases like churn ...

Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a great move 🌳 Mission & impact: Work on projects where data-driven decisions have real-world consequences. ...

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 ...

Awareness of ethical, privacy, security and policy considerations in AI and ML Eligibility and willingness to obtain UK Security Clearance Experience with MLOps tools, LLM applications, or work in regulated/government environments is highly beneficial, but not essential. Please note this role is subject to high level security clearances. ...

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 ...

enable automatic question-answering from large document collections, supporting our mission to surface key knowledge rapidly and accurately. Responsibilities: Build, fine-tune, and evaluate LLM-based Q&A models using frameworks like AWS Bedrock, Langchain, HuggingFace Transformers or OpenAI API. Design prompt templates and implement retrieval strategies to increase answer ...

cloud-based pipelines, CI/CD, monitoring, reproducibility). Experience with Python, SQL & Azure (AWS & GCP is also fine). Exposure to GenAI or LLM tools and frameworks is a strong advantage. Strategic thinker with the confidence to lead technically and shape the roadmap for ML within a growing, collaborative ...

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 ...

reliability. Skills & Experience Essential: 3+ years in software engineering, AI engineering, or machine learning roles. Strong programming skills (Python preferred). Experience with LLM integration (e.g., OpenAI, Anthropic, Hugging Face). Understanding of agentic frameworks, prompt engineering, and orchestration tools. Familiarity with APIs, databases, and cloud infrastructure (AWS, Azure ...

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. ...

transformation , this is your chance. What You’ll Do Partner with senior stakeholders to uncover pain points and define success metrics. Build and deploy LLM-powered agents with orchestration logic, memory systems, and retrieval pipelines. Drive projects from proof-of-concept to production, ensuring reliability and scalability. ...

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 ...

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 ...

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 ...

operability: set up and maintain CI/CD, monitoring/alerting, performance & error budgets, and safe rollback paths. Build and integrate AI features (LLM/agent workflows, RAG/vector DB integration, eval hooks, cost/safety guardrails). Essential Requirements 3-6+ years building production backends/services ...

product environments. A knack for translating business needs into clear, detailed requirements and user stories. Hands-on experience with AI/ML or LLM-based solutions (think: generative assistants, recommendation engines, automation tools). Strong analytical chops and a love for problem-solving. Top-notch communication skills—you can talk ...

with deep learning tooling like PyTorch Expertise in a wide range of ML methods, including supervised and unsupervised learning, time series, or NLP and LLM/GenAI based projects. Ability to scope and structure solutions around ambiguous business problems, turning them into tractable pipelines Confident in managing small technical teams ...