226 to 250 of 842 LLM Jobs in England

fundamentals Hands-on familiarity with Python and/or Java, able to read APIs and debug integration issues with engineers Experience scoping or deploying LLM-based capability with enterprise clients, including how success was measured Excellent client-facing communication and stakeholder management Nice to have: private equity, investment or financial ...

encryption, key management and data classification. Familiarity with AI security risks and governance frameworks, including NIST AI RMF, ISO 27001 and OWASP guidance for LLM and Agentic AI applications. Experience working across multiple cybersecurity control domains. Previous involvement in AI-enabled security transformation, control automation or enterprise AI adoption programmes. ...

tests or betas, to validate product decisions. Experience with browser DOM inspection or automation. Familiarity with Model Context Protocol or building tools for LLM agents. Familiarity with real-time data pipelines or streaming architectures. Accessibility experience. Passion for continuous learning and sharing insights with the team. About PendoPendo was founded ...

standards, production readiness, and threat models that hold up in the AI eraBe a force of innovation on AI for Software Engineering.: Monitor our LLM usage, latest models trial and evaluation, technical debt modernisation through AI agents. Develop staff engineers and technical leads, multiplying leadership capacity across the organisationOwn ...

transport simulation or infrastructure optimisation. Hands-on exposure to reinforcement learning, optimisation, probabilistic methods, simulation or other advanced ML techniques. Experience with GenAI or LLM-based products applied to engineering, planning, simulation or design workflows. Familiarity with GIS, BIM, transport models, network data or geospatial analysis. Experience working with stochastic ...

with C# particularly valuable for candidates without direct Foundry experience. Experience working with Azure cloud services and enterprise AI architectures. Understanding of agent orchestration, LLM integration and production deployment. For the senior position, experience leading development activities and contributing to technical design. Direct Microsoft Foundry Agent Service experience is strongly ...

tier educational background (First preferred).Start-up driven (experience within start-ups or founding start-ups).Experience in building AI-powered applications, LLM integrations, AI agents, Machine Learning, or automation systems. Comfortable in transforming AI systems from experimentation all the way through to production. Strong problem solver with the ability ...

needs into clear technical designs and architectural decisions Shape data platforms, integrations, and automation capabilities Support integration of AI-enabled solutions (e.g. automation, analytics, LLM-based services) Collaborate with engineers, analysts, and delivery teams to ensure solutions are delivery-ready Define and assure non-functional requirements (performance, security, resilience, scalability ...

financial services. Desirable experience Designing and delivering platforms from the ground up. Working in banking, fintech, payments or another regulated sector. Deploying AI or LLM features into production. Cloud development using AWS, Azure or GCP. Containers and infrastructure as code. The package Youll receive a £80,000£95,000 salary ...

able to translate research into recommendations for varied audiences Comfortable working within secure, regulated environments and handling sensitive data appropriately Desirable Direct experience researching LLM/RAG-based products, chatbots, or other AI-assisted decision-making tools Experience delivering digital services within UK central government or the wider public sector ...

expand the account actions it can complete autonomously. Expand our in-house document extraction pipelines to make parsing faster and more accurate. Design LLM-driven workflows that simplify case management. Find new opportunities to replace manual work with effective AI systems. Own solutions from discovery and prototyping through deployment, evaluation ...

production - You have shipped products that use GenAI to automate work previously performed by people. ✅ Fluent in AI product development - You understand prompt systems, LLM evaluation, agentic workflows, system architecture, failure modes, monitoring, feedback loops, safe rollout, and when AI is not the right solution. ✅ Data-driven and able ...

flex during peak delivery periods to meet critical deadlines Skilled in leveraging firm-approved AI-assisted productivity and engineering tools (e.g., GitHub Copilot and LLM models/assistants) to accelerate product delivery (requirements, analysis, documentation) while adhering to data handling, risk, and usage standards Preferred qualifications, capabilities, and skills Product ...

ownership to: Collaborate with engineers to make architecture and design decisionsWrestle with data at a scale that breaks assumptions and demands inventionBuild custom applications, LLM workflows, and production solutions engineered for a specific customer's realityOwn relationships with stakeholders from the users in the weeds to the executives making ...

partnering with core Engineering (if necessary) to scale or industrialise it. Pioneer AI in Risk Management: Champion AI adoption across the discipline. Experiment with LLM prompting, custom agents, and automated evidence-gathering tools to solve complex control problems and dramatically reduce manual drag for Monzo staff. Build for Real-Time ...

systems expertise – Hands-on experience building multi-agent systems, agentic workflows, tool-using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations Advanced cloud-native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud-native AI systems at scale; experience … optimizing cost and performance of production LLM deployments Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with credit ratings agencies is a significant advantage Startup or innovation team experience – History ...

systems expertise – Hands-on experience building multi-agent systems, agentic workflows, tool-using AI systems, or complex AI orchestration platforms that go beyond simple LLM integrations Advanced cloud-native ML infrastructure – Deep expertise building sophisticated ML infrastructure, MLOps pipelines, model serving platforms, and cloud-native AI systems at scale; experience … optimizing cost and performance of production LLM deployments Financial services or analytical domain knowledge – Understanding of analytical workflows, credit analysis processes, regulatory requirements, financial data products, or how ML enables better financial decision-making; familiarity with credit ratings agencies is a significant advantage Startup or innovation team experience – History ...

security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches ...

security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches ...

security of the UK. Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions … working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches ...

review quality, and reduction in repeat manual work. Secure AI Application and Cloud-AI Guardrails Define secure design patterns for AI-enabled applications, including LLM-based features, retrieval-augmented generation, AI agents, AI APIs, copilots, and automation workflows. Establish cloud security requirements for AI workloads, including identity, secrets, data storage … SAST, SCA, secrets scanning, or policy-as-code. Ability to translate security standards and architecture requirements into practical implementation patterns. Familiarity with generative AI, LLM-enabled applications, AI-assisted development, or AI security risks. Strong scripting, automation, workflow design, or tooling integration experience. Excellent written and verbal communication skills, with ...

shaping and steering delivery to demonstrate the value and potential of AI-driven solutions with credibility and pace. Drive the implementation and industrialisation of LLM-based and agentic solutions to enhance business processes, decision-making and customer experience, applying patterns such as RAG, orchestration and multi-agent workflows, and tool … Model Context Protocol (MCP).Expertise in RAG and retrieval patterns using vector stores and embedding models, and in evaluation and guardrail frameworks for LLM and agentic systems. Certified architect in a cloud-based platform (AWS or Azure); AI or machine learning specialism desired. Familiarity with modern data and lakehouse ecosystems ...

accelerate production adoption and deliver measurable business outcomes. Drive agentic AI quality and production readiness by implementing robust evaluation and monitoring strategies using MLflow, LLM-as-a-judge, custom evaluation metrics, and tracing to continuously improve agent accuracy, reliability, and performance. Influence product roadmap by translating field-derived, data-driven … multi-agent orchestration, and autonomous workflows, ideally using Databricks Agent Framework and Agent Bricks. Strong understanding of agentic AI evaluation methodologies, including MLflow Tracing, LLM judges, custom scorers, and systematic approaches to measuring agent quality, reliability, and production performance. Deep familiarity with using frontier models (from providers such as Anthropic ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...

through to robust, production-ready applications for enterprise clients. What you'll be doing: Build production applications and APIs using Python and FastAPI Develop LLM, RAG and AI agent solutions Build RAG pipelines covering embeddings, retrieval and generation Work with OpenAI, Anthropic, Mistral, Llama and similar LLMs Use LangChain, LangGraph … databases Experience with CI/CD using GitHub, GitLab or Jenkins Agile engineering experience Experience with AI agents, tool calling, embeddings, prompt engineering or LLM observability is beneficial React/TypeScript and Terraform/IaC experience is beneficial Experience taking GenAI POCs into production is highly beneficial Why this role ...