276 to 300 of 1,011 LLM Jobs in the UK

particular) Practical experience with model deployment workflows - loading, format conversion, quantisation, or framework integration Comfortable working with inference serving stacks (for example vLLM, TensorRT‐LLM, or similar) Familiarity with Linux, containerisation (Docker), and cluster environments Comfortable in a customer‐facing role, able to communicate clearly with ML and infrastructure engineering ...

backend systems and services Contribute to the development and evolution of a production-grade AI platform Build and integrate AI-powered features such as LLM-driven services, RAG pipelines, and agent-based workflows into core systems Leverage tools like GitHub Copilot, Claude Code, Cursor, or similar AI-assisted engineering workflows. ...

design, test and improve prompts used across internal tools, customer workflows and AI-enabled products. Key Responsibilities Write, test and refine prompts for large language model workflows. Evaluate AI responses for relevance, accuracy, tone and consistency. Document prompt templates, testing outcomes and best practices. Support the creation of AI-assisted ...

Enablement Specialist Location : London (Hybrid) Salary : £130,000 P/A + Comps Skills : Python (Programming Language), Computer Science, Software Development, Large Language Models (LLM) The role We're partnering with a highly successful, technology‐led Fintech organisation that is embracing AI as a key driver of future growth ...

building distributed, event‐driven systems using technologies such as AWS SQS, RabbitMQ, or BullMQ. Experience building production AI systems, including retrieval architectures, vector databases, LLM APIs, and AI evaluation. A passion for software craftsmanship, building systems that prioritize correctness, performance, maintainability, reliability, and scale. Bioinformatics You Also Have Deep expertise ...

ecosystem, including Copilot, Copilot Studio, AI Builder, and Azure AI Experience working with Large Language Models and modern AI architectures, including designing and deploying LLM-based solutions such as copilots, chatbots, and knowledge assistants Understanding of prompt engineering, grounding, and retrieval-augmented generation (RAG) Ability to apply governance, security ...

Have Background in defence tech or another high-complexity technical organisation Experience at a major cloud or big-tech company Exposure to modern LLM/AI tooling Distributed systems design experience Prior SRE or on-call rotation ownership If you've built and run production infrastructure at scale and want ...

worldwide supply chains and product lifecycles. 6. Technical Depth: Possessing a robust understanding of modern data architectures, advanced analytics, cloud scalability, and GenAI/LLM integration complexities. Key Responsibilities & Focus Areas Working in tandem with the CAIO, you will own the technical architecture and change management engine. You must ...

evaluate trade‐offs and prioritize effectively Experience working closely with Engineering and Data teams to deliver production solutions Familiarity with modern AI tools (e.g., LLM‐based solutions, workflow automation, data platforms) Excellent communication and stakeholder management skills ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas ...

knowledge of artificial intelligence assurance principles and a passion for developing assurance capability in this rapidly evolving field, with experience with AI or large language model evaluation, including red teaming or testing agent-based systems. Qualifications for the Lead Digital Assurance Engineer Essential: Degree or equivalent professional experience in Systems ...

platform, modules, AI features, and ecosystem. Experience in defining offerings, pricing models, solution architectures, and GTM toolkits. Exposure to AI—especially GenAI, workflow automation, LLM integration, and agentic AI concepts. Strong commercial acumen with the ability to turn technology into compelling business value propositions. Proven ability to analyze competitive landscapes ...

generated results, featured snippets, and answer boxes are affecting their visibility and what to do about it. Help clients optimize for new search paradigms: LLM‐referenced content, structured data, entity optimization, and topic‐aligned content strategies. Apply keyword research, content gap analysis, technical SEO insights, and competitor benchmarking using Similarweb ...

fraud detection, AML, or regulated financial services Experience with graph-based methods (GNNs, entity resolution, link analysis) in production Foundation model fine-tuning or LLM evaluation experience Experience establishing modern ML practices in organisations scaling their ML capabilities Wise Tech Stack (2025 update) Our Engineering career map Wise Engineering ...

them Technical bar: Deep experience with complex data modelling, entity resolution, and data pipelines in production environments Proven experience designing and shipping AI/LLM systems — RAG, structured extraction, evaluation frameworks — beyond the prototype stage Strong backend and distributed systems knowledge: APIs, service architecture, scalability, observability Experience making and owning ...

strategy AI platform engineering and infrastructure AI governance, risk and regulatory frameworks Financial services AI use cases (fraud, risk, trading, automation) Generative AI and LLM deployment within large organisations Building and scaling high‐performing AI teams If you are currently leading AI initiatives, building AI platforms, or working on responsible ...

questionnaire responses, failure mode documentation) and they need to be clear and precise. Strong nice‐to‐haves Experience with AI/ML systems security, LLM security, or AI control research. The field is young enough that deep experience here is rare, but any exposure significantly reduces ramp‐up time. Detection ...

occasional opportunity for home working Skills: Artificial Intelligence, Machine Learning, Real-Time, Embedded development, Custom Models, Sensor Fusion, Automation, Edge AI, RTOS, Deep learning, LLM, ANN, C++, Electronics, Mechatronics, Robotics Looking after the people who make Safran great is our priority. We offer a range of flexible benefits designed ...

with Automation Tools such as Alteryx, UI Path to introduce efficiency and scale to the Reconciliations Processes Experience with AI/LM tools and LLM use cases to streamline STP for Reconciliations Significant experience or equivalent expertise delivering products, projects, or technology applications Extensive experience leading operational management and change ...

collaborating with others. What We Are Looking For Deep expertise in one applied ML, statistics or data science speciality. Examples could be risk modelling, LLM detection, or reinforcement learning – any area of genuine depth counts. Judgement about when to reach for simple statistics, classical ML, LLMs, or agentic approaches. 3+ ...

field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Knowledge of "LLM-native" metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Responsibilities: Serve as a developer ...

Temporal, observability, or Kubernetes operations, partnering with the engineers building in it. Vendor & third-party management — own key external relationships and integrations (e.g. LLM API providers, third-party services), today managed manually and informally. Bring structure, automation, and bus-factor resilience. FinOps — own cloud and platform cost visibility and efficiency ...

range of technical and non-technical personas, with a track record of driving sustained adoption and engagement. Proven record of shipping AI- or LLM-powered analytics experiences (such as conversational analytics, AI-assisted query and insight generation, or decision-support tools) with attention to trustworthy AI principles including safety, bias ...

personalisation Own model quality and lifecycle management, including evaluation, monitoring, retraining and long-term maintainability Drive the development of AI-powered product features, including LLM-based and generative experiences Partner with Product Management to shape the ML roadmap and prioritise high-impact initiatives Set technical direction across modelling approaches, feature ...

might be a good fit if you have: 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Builder credibility that earns trust with technical founders and engineering teams ...

Must-haves 6+ years building software in a customer-facing technical role - Solutions Engineering, Developer Relations, Founding Engineer, or similar. Hands-on AI/LLM product experience. You\'ve built with LLMs, you understand RAG, tool use, agents, and evals, and you know the practical limits of current models. Strong ...