126 to 150 of 2,245 LLM Jobs in London

prompt design, guardrails and responsible AI Key experience: 3+ years of software or machine learning engineering experience 2+ years building and deploying GenAI/LLM applications in production Strong Python development skills Hands-on experience with LangGraph, LangChain, LlamaIndex, CrewAI or similar Experience with AWS, particularly Bedrock, Lambda ...

modern engineering practices such as Docker‐based workflows and infrastructure as code. Practical understanding of AI‐enabled engineering and product use cases, including common LLM concepts and considerations such as privacy, security, bias, governance, and cost. Clear communication skills, with the ability to work effectively with engineers, product managers ...

etc.) to improve productivity where appropriate. Good problem-solving skills and understanding of scalable system design. Nice to Have Basic awareness of AI/LLM concepts or experience consuming AI APIs (e.g. simple integrations). Familiarity with tools or platforms from providers like Anthropic. Experience in developing, building, and deploying ...

Counselling. A range of generous Parental Leave offerings. #LI-EU SNGCR01 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 AI to customer ...

Assistance Programme, Career Development and Counselling. A range of generous Parental Leave offerings.#LI-EUSNGCR01What We Are Looking ForProduction 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 ...

future deployments What We Need 6+ years of software engineering experience, including significant time spent building data, ML, or backend systems Python & ML/LLM Frameworks: Deep proficiency in Python with hands‐on experience using Hugging Face, LangChain, OpenAI, Pinecone, and related ecosystems Deployment & Infrastructure: Skilled in full-stack ...

Grid, Application Insights, Azure Batch) ASP.NET WebAPI (RESTful) Relational databases (Azure SQL) Non-relational databases (CosmosDB, Table Storage) Knowledge of building Generative AI/LLM powered solutions would be advantageous (OpenAI, Azure AI Foundry, AWS Bedrock, Google Vertex) Knowledge of effective use of agentic coding tools and techniques Ability ...

Job DescriptionRole – Senior AI EngineerTechnology – AI/ML/Gen AI, Data Science, Poly Cloud – Azure, AWS, GCP Location – London – UKBusiness Unit – TOPAZDLVRYCompensation – Competitive (including bonus)Job Summary: We are seeking an accomplished Generative AI ...

scaling enterprise-grade AI platforms. This is an exciting opportunity to work on cutting-edge Artificial Intelligence, Machine Learning and Large Language Model (LLM) initiatives, helping to transform innovative AI research into secure, scalable production systems. The role is open to candidates across the UK , with fully remote working available ...

retrieval quality assessment, hallucination and drift detection, robustness testing, benchmarking, bias and fairness assessment, alignment and misalignment analysis, adversarial testing, and red-teaming Strong LLM/GenAI engineering fluency: prompting strategies, retrieval-augmented generation, context and memory design, function/tool calling, guardrails, observability, and failure-mode analysis (e.g., prompt ...

delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration Contribute to technical designs, participate in design reviews ...

science portfolio. The work may include machine learning models, NLP pipelines, entity extraction, classification, ranking, search, recommendation, data quality, knowledge graph enrichment, predictive analytics, LLM-based systems, Gen AI Agents, Multi Agent systems and RAG where relevant. You will work closely with product, engineering, content, domain experts, and business stakeholders ...

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 ...

datasets using distributed computing (e.g. spark). Experience working with LLMs to deliver value in a commercial organisation, including how to manage and monitor LLM-based applications to maximise performance. Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment ...

preferred. Job Responsibilities Delivery & AI Engineering Oversight End-to-End AI SDLC Delivery: Drive the full lifecycle of complex software programmes incorporating AI (Custom LLM solutions, RAG architectures, Agentic Workflows, and AI-powered SDLC tooling) from discovery to production rollout. AI-Assisted SDLC Transformation: Lead initiatives to integrate AI tools ...

architectures, data lakehouse patterns, Delta Lake, vector databases, and RAG pipelines- Strong understanding of model-agnostic AI architectures and tool integration, including multi-provider LLM integration, tool calling, orchestration, and abstraction patterns- Exceptional technical and executive communication skills, with the ability to influence senior stakeholders, simplify complex architecture decisions ...

validation frameworks for models and services Experience in regulated industries (e.g. PCI, HIPAA, SOC2), large companies, or mature engineering teams Optional familiarity with LLM tooling/RAG Why Join Us? Impact: Own high-profile ML-backed services that power customer-facing products driving measurable business outcomes Autonomy: Take ...

payments, or a regulated industry environment. Consulting background with a strong delivery track record (strategy firm or Big Four). Experience building or deploying LLM-based solutions, AI agents, or agentic workflows. Familiarity with MLOps practices - model versioning, monitoring, and retraining. Experience working in fast‐moving environments. Exposure to enterprise ...

work independently on complex technical challenges. Excellent communication and collaboration skills. Preferred Qualifications: Experience with AI platforms, MCP, tool orchestration, agent frameworks, or LLM integration. Experience building applications that leverage Large Language Models (LLMs). Experience with Retrieval Augmented Generation (RAG), vector databases, embeddings, or semantic search technologies. Experience integrating ...

need to know the concept and be handy with the most common libraries Model Hosting and Monitoring: Host and monitor NLP models and LLM for real-time and batch inference. Develop Monitoring Systems: Create and support robust models for monitoring. Support and Innovate: Assist with a long tail of super ...

changing and wants to be at the forefront of that change. Experience with technologies or concepts such as OpenAI, Anthropic Claude, Amazon Bedrock, LLM APIs, coding agents, structured outputs, tool calling, RAG, semantic search, model routing or AI evaluation would be highly relevant. However, we're far more interested ...

functional stakeholders Your SkillsSoftware engineering experience while leading engineering teams Strong hands-on experience building and deploying AI applications in production Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns Experience with agentic frameworks and autonomous agent architectures Proficiency in Python and modern software development practices (testing, code ...

on. Bonus points if you have Experience building digital twins or service virtualisations of external systems for agent evaluation environments. Experience with LLM evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/ ...

frameworks, or architectural playbooks — at scale.Fluency across the modern data and AI stack: cloud data platforms (Snowflake, Databricks, BigQuery), agentic frameworks, RAG, vector databases, LLM orchestration, data governance, and enterprise integration patterns.Experience with prompt engineering, agent lifecycle management, and hands-on prototype development.Hands-on proficiency in programming (e.g., Python, JavaScript ...

Proven experience building complex AI systems, with hands‐on expertise in Retrieval‐Augmented Generation (RAG) and AI Agent architectures. Deep, hands‐on experience with LLM APIs and/or fine‐tuning and serving open‐source models. Strong understanding of prompt engineering and context engineering to maximize model relevance and accuracy. ...