676 to 700 of 2,762 LLM Jobs in England

Bash and infrastructure-as-code tools like Terraform, with a track record of building custom integrations and automations Hands‐on experience leveraging AI and LLM tools (such as WRITER, Claude, ChatGPT, or Copilot) to accelerate IT documentation, scripting, troubleshooting, and operations Proven ability to evaluate emerging platforms quickly and make ...

MIAME, etc.) Track record scaling data governance or data stewardship programs across multiple labs, studies, or organizations Familiarity with agentic AI, machine learning, or LLM-driven automation in data/science workflows Familiarity with biomarker platform companies (e.g., Guardant Health, Foundation Medicine, Tempus) or research consortia (e.g., NCI's SEQC ...

controls across cloud environments, APIs, CI/CD pipelines, identity services and data platforms. Working knowledge of relevant guidance, such as OWASP guidance for LLM and agentic applications, MITRE ATLAS and cloud-provider AI security guidance. Ability to participate in incident response and product security operations as required. Relevant security ...

know how to productize data science. You look at a manual operational workflow and immediately see how smart heuristics, predictive models, or LLM summarization can 10x human output. Proven People Leadership: You have experience hiring, onboarding, and mentoring Product Managers (both ICs and Leads). You know how to build ...

governance, logging/monitoring, and operational risk considerations. Preferred qualifications, capabilities, and skills Experience building or operating AI-enabled systems (agentic workflows, orchestration frameworks, LLM-enabled automation) and/or observability for AI/automation in production. Experience working in a highly matrixed, complex organization and/or within ...

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 ...

understanding of system design, and a genuine interest in Developer Experience (DX) and system reliability Hands-on familiarity and curiosity with modern AI toolchains, LLM integrations, retrieval patterns, and rapid prototyping frameworks, alongside the ability to audit AI-generated code Strong stakeholder management and communication skills, with a proven ability ...

product management experience, with senior individual contributor or principal level scope Proven experience owning complex product capabilities and shared platforms Strong understanding of LLM, agentic systems and modern AI architectures Experience working closely with AI and machine learning engineers on production systems Comfort defining APIs, SDKs and platform level product ...

/derived data declarations and vendor audit processes. Working proficiency in Python and SQL; knowledge of Linux, Git, Jira preferred. Experience using AI and LLM tooling to automate or augment manual workflows. Strong analytical and communication skills, written and oral. Inclusion, Work-Life Balance and Benefits at Man Group ...

into customers across the UK in the Automotive or Manufacturing sector Salesforce, and/or certifications related to Artificial Intelligence, specifically generative AI and LLM concepts Experience implementing Digital Transformation strategies, enterprise consulting and delivering increased success to their customers. Proven oral, written, presentation, and interpersonal communication and relationship skills. ...

outcome, that's a flag — you do both instinctively. Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs — agents that shipped, workflows that changed, problems that got solved. Business analysis instincts: Before ...

outcome, that's a flag you do both instinctively. Hands-on AI agent and prompt engineering experience: Your experience of designing and deploying production LLM solutions goes beyond side projects. You can point to concrete outputs agents that shipped, workflows that changed, problems that got solved. Business analysis instincts: Before ...

hackajob is partnering directly with Accenture to hire for this role. AI Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist 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 ...

Shows Up in This Role You're not adding AI to a product — you're building the AI that is the product: the agents, LLM pipelines, and intelligence systems at the core of Payments Intelligence. AI is our default execution layer: you're expected to use AI‐assisted tooling fluently … Yuno's AI agents (AIDA, NOVA) and intelligence systems; set the technical direction for agentic AI and raise the bar for the team. Production LLM and agentic systems — design multi‐step agents with tool use, orchestration, memory, and retrieval‐augmented generation (RAG), engineered for reliability and low latency at scale. ...

software engineering and AI implementation, focusing on building reliable, scalable applications rather than model training or research. You’ll work with cutting‐edge LLM technologies, building advanced AI systems that solve complex real‐world problems through multi‐agent orchestration, intelligent tool integration, and robust production workflows. You’ll be crafting … failure modes, optimizing agent collaboration, and ensuring consistent, reliable outputs at scale. You’ll combine strong software engineering fundamentals with deep practical knowledge of LLM capabilities, limitations, and best practices for building non‐deterministic systems that users can trust. Responsibilities Design and implement production AI systems integrating LLMs, RAG pipelines ...

teams. We are looking for an exceptional AI Engineer to join our London engineering team and help build the next generation of our NLP, LLM and market intelligence systems. This is a hands-on engineering role for someone who wants considerably more ownership than they are likely to get inside … automated market analysis or reducing the latency of a production intelligence pipeline. What you’ll do Build production AI systems Design, build and deploy LLM and NLP pipelines that operate reliably at production scale. Take models from experimentation through evaluation, deployment, monitoring and continuous improvement. Develop and evaluate models Build ...

Modern Machine Learning Experience Relevant experience might include any of the following - we don't expect all of it: Large language models and applied LLM workflows. Retrieval-augmented generation, semantic search, embeddings, ranking, and information retrieval. NLP techniques such as classification, entity extraction, clustering, summarization, topic modeling, question answering … text generation. Deep learning and neural network approaches for language, content understanding, or prediction. Evaluation of LLM outputs, AI-generated content, source-grounded answers, and evidence-based systems. Agentic or orchestrated AI workflows, including multi-step reasoning, tool use, and frameworks such as LangChain, LangGraph, or similar. Knowledge systems, knowledge ...

outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards Transitioning validated experiments into production-ready ML services … collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning and reproducibility, ensuring full auditability Designing feature engineering strategies and contributing ...

services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms. You will lead the development of data pipelines, vector databases, retrieval systems … LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights**Hybrid working:**The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend ...

date on market trends, new opportunities, and the changing landscape of AI technologies. Requirements **Experience** **AI Orchestration & Development:** Expert-level experience building complex LLM-powered systems and multi-agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK. **Artificial Intelligence & Machine Learning:** Deep practical understanding of machine learning algorithms, natural …/HND courses will also be accepted. Core Competencies Demonstrates expertise in AI Orchestration and Development, with a strong focus on building complex LLM-powered systems and multi‐agent workflows. Proficient in Cloud Computing and Data Engineering, particularly with Google Cloud Platform services, while also showcasing leadership in team mentorship ...

agentic solution delivery across client engagements — setting the bar for what production-ready looks like Review and challenge solution architectures end-to-end: LLM selection, RAG pipeline design, agentic workflow logic, evaluation frameworks, guardrails, cost modelling, and scalability Define and enforce the standards that separate a working POC from … sustain it What You Will Bring Required — Proven GenAI Delivery A track record of shipping GenAI solutions into production — RAG pipelines, agentic workflows, LLM-powered applications, or multimodal systems — not just designing or advising on them Deep hands-on experience with the full GenAI delivery stack: LLM APIs (OpenAI, Anthropic ...

Comfortable working across an AI-enabled stack, with depth in some areas and willingness to grow others AI & Automation Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent) Understanding of agent patterns, orchestration, tool use, and LLM limitations Integration & APIs Experience with ...

Comfortable working across an AI-enabled stack, with depth in some areas and willingness to grow others AI & Automation Experience building production AI/LLM applications, agents, or workflows (e.g. Azure OpenAI, Copilot Studio, or equivalent) Understanding of agent patterns, orchestration, tool use, and LLM limitations Integration & APIs Experience with ...

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 ...

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 ...