1 to 25 of 138 LLM Jobs in the City of London

into technical designs, prototypes, or working solutions Build or advise on ETL/ELT pipelines preparing diverse datasets for AI consumption Implement or guide LLM-based solutions, including RAG systems and automation scripts Develop or lead the design of Proof of Concepts to validate AI ideas Act as a technical ...

know yet). You’ll cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration Generative and Agentic AI MLOps & cloud computing It’s all live lectures, tutor-led group work and real-world challenges from ...

Anthropic certified AI Large Language Model (LLM) Technology Architect Location: London YOU ARE As a hands‐on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands‐on role — you will spend … enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience ...

Enhance and innovate esure’s tech stack, including MLOps, CI/CD pipelines, UI, and our AI Python library. Assess third‐party GenAI and LLM technologies to determine feasibility and cost–benefit. Skills and experience you need as an AI Engineer: Proven experience applying, researching and developing NLP models, including ...

taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems ...

with the ability to engage senior stakeholders and lead technical discussions. Desirable Experience Experience with PyTorch, TensorFlow or other machine learning frameworks. Knowledge of LLM fine-tuning, model distillation and optimisation techniques. Experience with vector databases, semantic search, knowledge graphs or related technologies. Familiarity with AI governance frameworks, security standards ...

developments. Take on related responsibilities as the squad's needs evolve. Requirements: Engineering experience: 3+ years in software engineering, with hands-on experience building LLM-powered applications in production (RAG, tool-augmented agents, or agentic workflows). Education: BS in Engineering, Computer Science, or equivalent. Ways of working: Comfortable working ...

taking AI prototypes to production in enterprise environments. Education: BS in Engineering, Computer Science or equivalent; advanced degree preferred. Agentic AI/LLMs: LLM orchestration, prompt engineering, context-window management and production guardrails; MCP, tool-augmented agents and RAG at enterprise scale. Enterprise integration: Integrating AI into enterprise systems ...

demonstrations and stakeholder playbacks. Ability to create and prioritise use-case backlogs, develop estimates and shape pragmatic delivery roadmaps. Understanding of agentic AI concepts, LLM solution patterns, prompt engineering, evaluation, grounding and responsible AI controls. Experience integrating solutions with enterprise systems, data sources, APIs and workflows. Strong client-facing communication ...

ArgoCD) Build self-service developer frameworks and landing zones, hands‐on with Terraform and Helm Architect platforms that host and serve generative AI systems (LLM hosting, LLM gateways, agentic workflows) Guide legacy application modernisation, microservices migrations, and API integrations Implement security end‐to‐end across the platform: security tooling built …/CD pipelines, Git‐based workflows, and microservices/API architectures Practical experience with observability stacks (Grafana, Prometheus, OpenTelemetry) Experience with generative AI platforms: LLM hosting, LLM gateways (e.g.LiteLLM, Portkey, Kong AI Gateway), and MLOps/LLMOps practices for deploying and monitoring AI systems in production Strong stakeholder communication, translating ...

with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming ...

with a focus on outcomes rather than models alone Insurance, reinsurance, financial services, or other regulated industry experience is desirable Experience with Generative AI, LLM applications, agentic systems Exposure to mentoring or coaching other data scientists and technical practitioners Why Join Howden? At Howden, we are building data ...

tooling — such as LangGraph, LangChain, LlamaIndex, or CrewAI — and how they are applied Experience with retrieval-augmented generation (RAG) architectures, vector databases, and LLM-powered applications as part of a commerce or customer technology programme Familiarity with CI/CD pipelines, containerisation, and cloud-native deployment practices for production commerce ...

patterns, bringing forward new ideas that enhance client delivery and strengthen Wavestone’s internal capability. Qualifications Core Skills & Experience Proven experience building AI/LLM-powered applications in production Deep understanding of AI/GenAI fundamentals, including model behaviour, limitations, and evaluation Experience designing and implementing: RAG systems Agentic workflows ...

Programme, Career Development and Counselling. A range of generous Parental Leave offerings. What We Are Looking For Production GenAI experience. Experience delivering GenAI and LLM-based solutions into production environments. You understand the realities of operating, monitoring and evolving AI systems at scale. Customer domain expertise. Experience applying ...

cloud platforms such as AWS, Azure, or GCP; hands-on deployment experience is beneficial but not required.Exposure to generative AI application development, including LLM APIs, agentic workflows, retrieval, vector databases, or agent frameworks such as LangChain, LangGraph, or AutoGen.Familiarity with AI-assisted coding tools such as Claude Code, Codex ...

software development methodologies and data modeling principles. Deep expertise in Python and Java. Proficiency in backend development and familiarity with modern AI/LLM tools and frameworks (e.g., LangChain, LangGraph). Experience with Kubernetes (EKS) and cloud-native architectures. Proven track record building scalable backend systems and APIs. Experience mentoring ...

quantitative analytics or financial modelling.Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor or similar.Experience building AI-enabled applications, including LLM integrations, RAG, tool calling or agent-based workflows.Interest in applying AI to both software engineering and investment workflows.Experience with Agile delivery methodologies and engineering practices ...

will be responsible for designing, building, and deploying cutting-edge AI solutions that deliver autonomous, user-facing capabilities. This role focuses on creating LLM-powered applications & data enrichments, agentic workflows, and intelligent systems that directly impact our users' experiences. What You’ll Do As an AI Engineer on our team … will take ownership of end-to-end AI solution delivery, from initial concept through production deployment and ongoing optimization. You'll architect and implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems that directly impact our users' experiences. Your work will involve orchestrating large language models, building ...

/Azure/GCP) Strong programming skills in Python and JavaScript/TypeScript Experience with APIs, microservices, and full stack development Experience with LLM frameworks (LangChain, Langgraph, LlamaIndex) or GenAI use cases Understanding of RAG and vector databases Exposure to Databricks or data platforms Exposure to client‐facing or stakeholder ...

state of the feature at any point. Shape platform architecture with an architectural lens, contributing to long-term decisions about how AI tooling, LLM integrations, and human-in-the-loop controls evolve across the stack. Continuously identify and exploit opportunities to improve performance, reliability, and user experience, using observability ...

role looks like Partner with business departments to identify process inefficiencies and automation opportunities Design and prototype AI agentic workflows using modern frameworks and LLM-based tools Develop, integrate and deploy AI agents that handle varied business tasks such as reporting, customer communication, data processing and internal operations Evaluate ...

RBAC and cost controls. Solid software engineering fundamentals: Clean Code (SOLID, DRY), DDD, modular architecture, TDD and code quality tooling. Desirable: RAG pipelines, MCP, LLM integration (OpenAI, Gemini, Hugging Face models), LangSmith, TruLens, and agentic frameworks such as LangChain, CrewAI, Autogen, OpenAI Agents and Google ADK. You won't need … Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer, Django Developer, FastAPI Developer, React Developer, Next.js Developer, TypeScript Developer, Azure OpenAI, Vertex AI, LangChain, LangGraph, CrewAI, Autogen, OpenAI Agents ...

python‐based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch). Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL. MS or PhD in related field ...

delivery Experience building or supporting data pipelines for analytics, model evaluation, and training with appropriate controls (for example versioning and validation) Experience with large language model application patterns, including retrieval-augmented generation and prompt design Preferred Qualifications, Capabilities, and Skills Experience delivering AI or machine learning products ...