151 to 175 of 2,245 LLM Jobs in London

with Quality Engineers and SREs to ensure solutions meet quality, governance, and operational readiness expectations. Skills* Strong Python development experience.* Hands‐on experience with LLM and agent frameworks and agentic reasoning patterns.* Practical understanding of Model Context Protocol (MCP), including server and tool patterns.* FastAPI and REST API design ...

modelling, or large-scale data analysis. Experience developing front-office applications, automation frameworks, or other business-critical software. Experience building AI, machine learning, or LLM-based solutions. Familiarity with financial markets, electronic trading systems, Equities, ETFs, Delta One products, distributed systems, or KDB+/q. About ...

develop full stack AI applications using Python and TypeScript. Build and enhance frontend interfaces, backend services, APIs, and application architectures. Develop and deploy LLM-powered solutions, including RAG pipelines and agentic AI applications. Integrate and manage SQL and NoSQL data stores, ensuring effective data modelling and system performance. Implement vector ...

systems . Proven expertise with cloud AI ecosystems (AWS Bedrock, SageMaker, Azure OpenAI, Azure ML). Strong command of agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting ...

Contact Lens, Customer Profiles, Streams API, and the Connect data/analytics stack Hands-on experience with conversational and generative AI, Amazon Lex plus LLM-based development (Amazon Bedrock, Q in Connect, or equivalent), including prompt engineering and tool calling Strong TypeScript/Node.js and Python; production React experience; solid ...

Python and production software engineering, including APIs, automated testing and cloud-native services. Practical experience building and operating production applications using foundation models and LLM APIs. Experience with retrieval and embedding pipelines, semantic search or equivalent AI data pipelines. Essential: Evaluation and monitoring of AI systems as a disciplined practice ...

Design, build and maintain data pipelines and workflows that keep data accurate, timely and trustworthy Deploy and support production ML systems (including forecasting and LLM-driven workflows) with monitoring, versioning and CI/CD Maintain and improve an AWS-native data platform (e.g., S3, Redshift, RDS, Athena, SageMaker, Lambda) Write ...

specs into practical code and communicating trade-offs clearly in plain English. And to really stand out from the crowd Experience with AI gateways, LLM proxies, or model-routing patterns. Exposure to AI observability tools, vector databases (Databricks AI Search), RAG pipelines, or non-deterministic system monitoring. Hands-on experience ...

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 ...

real customer impact; you’ll take ownership of existing models and help define strong ML foundations in spaces that are still evolving, from LLM-powered automation to customer compensation logic. Here’s what your day-to-day might look like: Own the full ML lifecycle: Lead the design, development ...

track record leading complex enterprise technical engagements. You've managed customer relationships, navigated security reviews, and delivered production systems organisations depend on. Deep production LLM experience: multi-agent orchestration, MCP/tool-use, RAG optimisation, evaluation frameworks, agent deployment at scale. System architecture expertise spanning enterprise systems, cloud infrastructure ...

with deep expertise in Python. You build scalable, production-ready code. Agentic AI Experience: Proven, hands‐on experience building multi‐agent workflows or complex LLM orchestration pipelines (e.g. LangChain/LangGraph, LlamaIndex, CrewAI, AutoGen). Multimodal AI Knowledge: Experience working with Vision‐Language Models (VLMs) and an understanding ...

core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable ...

with business stakeholders to understand their needs The following is DESIRABLE, not essential: Experience taking Agentic AI solutions into production AWS AWS Strands Agents, LLM, Pydantic AI, Bedrock, AgentCore, ADK, CrewAI, AutoGen LangChain and LangGraph Finance Role: Lead AI Labs Software Engineer (Programmer Software Engineer Developer Python Amazon Web Services ...

Familiarity with infrastructure as code, for example CDK or Terraform. Exposure to observability tooling, incident response, or production monitoring practices. A broader understanding of LLM concepts such as tokens, embeddings, hallucinations, and safe use cases in software delivery. What’s in it for me? They’re offering a salary ...

Comfort working with SQL databases, Git, Docker‐based workflows, and modern CI/CD pipelines. Practical understanding of AI‐assisted engineering tools and broader LLM concepts, with the judgment to use them responsibly with privacy, security, cost, and quality in mind. Clear communication skills, a collaborative mindset, and experience supporting ...

EKS. DevSecOps and secure-by-design engineering. Observability, monitoring and automated alerting. < REST APIs and distributed systems. Ansible, CloudFormation or AWS CDK. AI or LLM integration. Previous delivery within government, defence or another highly regulated environment. AWS certifications. The environment This is a modern, fast-moving and highly collaborative engineering ...

internal portals, reusable libraries, or governance workflows.* Experience improving observability, production support, and operational standards across multiple services or teams.* Exposure to AI/LLM-enabled developer workflows, internal copilots, or automation tooling.* Experience in financial systems, regulated environments, or other high-reliability domains is a plus.**Compensation**Jain Global ...

defect management tooling such as Jira or Azure DevOps. Good technical understanding of web applications, APIs and modern application architectures. Experience testing Generative AI, LLM or RAG solutions would be highly desirable. Understanding of AI evaluation concepts including groundedness, relevance, hallucination testing and retrieval quality. Python, TypeScript/JavaScript ...

frameworks, including metadata management and regulatory considerations.Familiarity with modern data infrastructure and architecture (APIs, pipelines, cloud platforms), with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.Exposure to Agile methodologies such as Scrum or Kanban.Awareness of emerging trends in Private Markets data, including ...

Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building and orchestrating LLM agents, including prompt design, grounding and retrieval, structured outputs, and testing and evaluating agent behaviour where outputs are uncertain or non-deterministic. Experienced with cloud ...

Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building and orchestrating LLM agents, including prompt design, grounding and retrieval, structured outputs, and testing and evaluating agent behaviour where outputs are uncertain or non-deterministic. Experienced with cloud ...

Power Platform, including Power Apps, Power Automate, Power Pages and Dataverse, together with solution management, environments and application lifecycle management. Experience building and orchestrating LLM agents, including prompt design, grounding and retrieval, structured outputs, and testing and evaluating agent behaviour where outputs are uncertain or non‐deterministic. Experienced with cloud ...

well‐structured production code. Qualifications – Nice to Have Experience with streaming or queuing systems (Kafka, Pub/Sub, SQS). Familiarity with AI/LLM systems (AOE integration), though not required across all charters. Knowledge of data engineering patterns or ETL/ELT workflows. Prior experience with API gateway architectures ...

looking for? Strong and demonstrable experience and knowledge of oC#/.NET oNon-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 ...