551 to 575 of 2,764 LLM Jobs in England

CrewAI, ADK) and complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience in a post‐sales or technical consulting delivery function. Knowledge of LLM‐native metrics (e.g., tokens/sec, cost‐per‐request) and techniques for optimizing state management and granular tracing. About the job As an AI Forward ...

professional development of other engineers through coaching, mentoring and role modelling. We are looking for people with skills matching the team’s focus on LLM‐based AI. Experience in some or all of the following areas would be an advantage: Cloud infrastructure (especially AWS), infrastructure as code, and service management ...

software development principles, design patterns, and best practices. You have experience in cloud platforms, deployment processes, and OAuth -like flows. Ideally with experience integrating LLM providers. You are a practitioner of AI-native development . You don't just use AI, you orchestrate it. You are comfortable using structured prompt ...

debug, and optimize code to execute with minimal CPU and memory footprints in highly constrained environments. Tooling Leverage: Proactive adoption and strong leverage of LLM/AI coding tools (e.g., GitHub Copilot, Cursor) to accelerate development and automate repetitive workflows. Autonomy & Problem Solving: Capability to diagnose complex, asynchronous race conditions ...

customer sites one to two times per month. German speaking a must-have . Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale-up experience. Who Thrives at Gravitee ...

APIs using Python and Django Own features end to end, from initial design to production rollout Maintain and evolve background processing, agent orchestration, and LLM integrations Work with context-heavy data pipelines and RAG-style systems Operate and improve cloud infrastructure on GCP Improve performance across SQL queries, background jobs ...

technical audience* Experience with containerised environments (Docker, Apptainer etc.)* Experience running code on high-performance computing clusters (or equivalent cloud environment) Experience with LLM/agentic frameworks (such as LangChain, LlamaIndex, DeerFlow, Haystack, or others)* Experience developing and evaluating agents, skills, tools, or MCPs* About Working at the Crick ...

executives. Familiarity with modern data platforms (Snowflake, Databricks, Spark/SQL), source systems (ERP/MES/WMS/TMS), and agentic AI/LLM workflow design. Prior experience in high‐growth (startup/scale‐up) environments; Bachelor's degree or equivalent practical experience. A snapshot of our many perks ...

across Azure and OCI (Terraform, Bicep) Proven design and delivery of complex CI/CD and automation solutions Experience building and operating AI/LLM-assisted tooling or agents Strong grasp of security, identity (Microsoft Entra/IAM) and secrets management Understanding of resilience, DR and recovery objectives (RTO/ ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. … Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks ...

phases and proof-of-concept work. Reviewing code and technical outputs to maintain high engineering and quality standards. Designing and delivering Generative AI and LLM solutions , including RAG architectures, prompt engineering, vector search and integration with Azure AI services. Defining engineering approaches for LLM applications, agentic AI systems, machine learning ...

intelligent automation. Build orchestration layers that transform structured and unstructured enterprise data into reusable AI capabilities. Develop production-ready AI applications using modern LLM frameworks and orchestration tools. Design reusable platform components for prompt management, model serving, vector search, embeddings, AI gateways, and evaluation services. Build APIs, SDKs, and developer … Language Models (LLMs).Have experience building Model Context Protocol (MCP) and Retrieval-Augmented Generation (RAG) solutions, making use of embeddings, vector databases, and modern LLM orchestration frameworks. Have experience building or contributing to agentic AI systems, intelligent workflows, or orchestration frameworks. Backend & Platform EngineeringAre a strong backend engineer with production ...

model inventory, workflow orchestration, approvals, periodic reviews, and audit-ready evidence generation. AI Enablement Implement AI/ML components within the model workflow, including LLM-based automation for model documentation generation and updating, intelligent data quality checks, and workflow assistance. Integrate AI tooling into a controlled, auditable, production-grade environment … complex enterprise environment; financial services experience strongly preferred. Solid AI/ML knowledge, including practical experience with machine learning libraries and/or LLM-based application development (e.g., API integration, prompt engineering, RAG-style document workflows). Strong experience with test automation, CI/CD, and modern software engineering practices ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI ...

claims to customer service and risk assessment. This role sits at the intersection of software engineering, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform. As a senior member of the team, you will not only build … organization. Key Responsibilities: Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services. Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production. Develop robust, well-tested backend APIs with FastAPI, containerized ...

Build AI-native tools and workflows Use Claude Code and other frontier AI tools to accelerate development, prototyping, debugging and documentation. Build practical LLM workflows, agents, skills and tools that support advisory teams, client delivery and internal operations. Implement reusable AI capabilities using OpenWebUI, LiteLLM and MCP tools. Work across … internal teams work. You will work under the VP/Head of Data Science, contributing hands‐on to applied AI systems, LLM workflows, agentic tools, reusable skills, internal automation and production‐ready capabilities. The environment is collaborative, pragmatic and delivery-focused. We move quickly, share ideas openly, and value people ...

DescriptionAbout Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

## Core AI EngineerApplylocations: GBR-London-10 Paternoster Squaretime type: Full timeposted on: Posted Todayjob requisition id: R0121927**ABOUT US:**LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and ...

across AI workstreams, mentor engineers, and support business development activities. Key ResponsibilitiesDesign, develop, and deploy production-grade AI and ML solutions, including GenAI and LLM-enabled systems. Shape AI solution architectures, selecting appropriate patterns (e.g. batch vs streaming, RAG, feature stores, model serving).Lead AI/ML workstreams … partners, acting as a trusted technical advisor. Experience & Capability3+ years' experience delivering AI and ML solutions in production environments. Demonstrated experience delivering GenAI and LLM-based solutions from prototype through to production. Strong Python engineering skills, with a focus on quality, testing, and maintainability. Solid foundations in machine learning concepts ...

## Data ScientistApplylocations: GBR-London-10 Paternoster Squaretime type: Full timeposted on: Posted Todayjob requisition id: R0121912# **ABOUT US:**LSEG (London Stock Exchange Group) is more than a diversified global financial markets infrastructure and data ...

pipelines and DevOps best practices. Collaborate with architects, product teams, and engineers to deliver high-quality solutions. Contribute to AI-enabled application development, including LLM and RAG integrations where applicable. Required Skills 10+ years of software engineering experience. Strong hands-on expertise in Java and/or Python. Kubernetes, Docker … Microservices, and REST APIs. CI/CD, DevOps, and Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset ...

Sector: TechReference: 14993The Opportunity This is a unique opportunity to help establish and shape a new AI capability within a complex, multi-functional organisation. Working in a greenfield environment, you will play a key role ...

SummaryThe AI Innovation and Solutions (AIS) team operates with the speed and spirit of a startup, focused on rapidly prototyping and building production-grade, cloud-native AI applications that integrate cutting-edge AI capabilities to ...