651 to 675 of 4,588 LLM Jobs in the UK

Flexible/Hybrid (UK-based) SC Cleared/Eligible Required Are you passionate about shaping the future with AI? Join our Innovation Team to build cutting-edge solutions using Generative AI, Machine Learning, and Agentic ...

Python Software Engineer/Developer (Conversational AI) Remote UK to 90kAre you a backend focussed Python Software Engineer looking for an opportunity to progress your career, whilst working remotely on a modern tech stack? You ...

This is a role for billing and revenue professionals who want to shape how AI gets used in the profession. You've built your foundation inside a law firm's work to cash cycle as ...

Location: London, Bristol or Edinburgh, UK (hybrid, three days a week in the office)Level: Engineering Manager PL1 Team: EngineeringContract: PermanentReporting To: Head of EngineeringAbout KaluzaKaluza is the Energy Intelligence Platform, turning energy complexity into ...

NEW ROLE | AI DEVELOPER | CHESTERFIELD Major IT & Digital are proud to be partnering with a leading international business with over 30 years industry experience delivering Industrial IT solutions across both manufacturing and infrastructure businesses. Successfully ...

end. The role will focus primarily on model development, data pipelines and system performance. What You'll Do Design and implement end-to-end LLM training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine-tune and optimise open weight models (LLMs, vision or traditional ML) Build ...

front office, Credit Risk Business. The candidate will be a core member of the technology team responsible implementing projects based on Python, FastAPI, MCP, LLM, Java and using latest technologies. Excellent opportunity to immerse in and learn within the Wholesale Credit Risk Division and gain exposure to business and technology ...

Set the Health data strategy by mapping clinical workflows into a use-case taxonomy, and partnering with research to prioritize capabilities, data coverage, and sourcing pipelines. Create high-quality Health data by designing tasks and ...

systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine learning, automated ...

systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine learning, automated ...

systems at scale, taking safety defenses or mitigations from research concepts to scalable production systems. Experience collaborating on or leading applied ML projects, including LLM training, inference, and fine-tuning. Experience using AI coding agents with strong architectural judgement, and with TPUs and JAX. Background in adversarial machine learning, automated ...

capabilities through Microsoft Purview Modern SOC enablement leveraging Defender and Sentinel telemetry alongside broader tooling The secure adoption of Microsoft Copilot and AI/LLM-driven capabilities, ensuring appropriate governance, data protection and access controls What you will do Act as the design authority for Microsoft Security architecture, covering Defender … Secure by Design principles across Microsoft-based platforms and solutions Define and implement security and governance controls for Microsoft Copilot and AI/LLM services, ensuring enterprise data is appropriately protected Assess and mitigate risks associated with AI/LLM usage, including prompt injection, data leakage, over-permissioned access ...

+ Bi-Annual Salary Reviews + Annual Performance-Based Equity Refresh Are you a proven AI Research leader with deep expertise in Agentic AI, LLM fine-tuning and applied machine learning, looking to build and lead a world-class research function while remaining hands-on with cutting-edge AI systems … bring research into production. The Person: Proven leadership experience within AI Research, Applied AI or Machine Learning Engineering Strong hands-on expertise with LLM fine-tuning, agentic AI systems, model evaluation and production ML infrastructure Experience developing and deploying AI systems within highly regulated industries Deep understanding of model quality ...

+ Bi-Annual Salary Reviews + Annual Performance-Based Equity Refresh Are you a proven AI Research leader with deep expertise in Agentic AI, LLM fine-tuning and applied machine learning, looking to build and lead a world-class research function while remaining hands-on with cutting-edge AI systems … bring research into production. The Person: Proven leadership experience within AI Research, Applied AI or Machine Learning Engineering Strong hands-on expertise with LLM fine-tuning, agentic AI systems, model evaluation and production ML infrastructure Experience developing and deploying AI systems within highly regulated industries Deep understanding of model quality ...

short-term experiment results to long-term outcomes such as courier retention and network health Build applied AI that delivers value in production, including LLM-based and agentic products for couriers and operations Build the organisation: hire, develop managers and principals, and build university partnerships Partner with Logistics Product, Logistics ...

agentic AI, or enterprise data platforms. Experience with enterprise SaaS products and operating AI, graph, data, or agentic platforms at scale. Experience with RAG, LLM applications, explainable AI, evaluators, or agentic quality frameworks. #SeniorWork With Impact: Our platform directly helps companies power the world's supply chains. ...

platform, interpret analytical outputs honestly, and use data to inform product decisions rather than to justify decisions already madeExperience with agentic AI systems, LLM-powered applications, or advanced analytics platforms (as a PM, a builder, or a close technical collaborator), sufficient to understand what is hard, what is fast ...

operate at enormous scale. We're talking about technology capable of processing tens of millions of lines of code per customer, managing substantial LLM workloads and delivering the performance, reliability and security demanded by some of the world's largest organisations. The engineering challenges are anything but ordinary. From designing … scale: Building robust, high performance backend infrastructure capable of supporting demanding enterprise workloads. Powering AI at enterprise level: Tackling the challenges of high volume LLM processing, token throughput, real time operations and AI provider reliability. Creating the foundations for faster innovation: Developing shared services, abstractions and internal tools that enable ...

Opportunity You'll take technical ownership of AI functionality being developed within an existing SaaS platform. The challenge isn't simply getting an LLM to produce an answer. It's designing systems that deliver accurate, reliable recommendations, work with complex data and can be maintained and improved in production. … involved in: Designing the architecture for new AI-powered features and services. Building production AI/ML systems using Python, NLP and LLM technologies. Developing intelligent document-processing and information-extraction capabilities. Integrating LLMs and retrieval-based approaches into existing product workflows. Designing systems that incorporate user feedback to improve ...

from idea through to production deployment and monitoring. Redesigning our model building, deployment and monitoring process using agentic architecture and leveraging the latest LLM models. You'll transform what's possible for a data science team. Shaping and growing Raylo's data science function as we rapidly scale over ...

will work with Open Telemetry, logging, telemetry and automation to surface issues faster and improve operational control. The role also includes using AI tools, LLM platforms and coding assistants to boost productivity, support autonomous operations and improve system insight. Working across SRE, development and IT Operations, you will help embed … dependency and origin layers. Experience working in a large-scale, 24/7 enterprise where uptime, performance and stability are critical. Practical experience using LLM platforms and coding assistants safely to improve productivity, quality and root-cause analysis. Additional Information Develop and maintain resilient tools, operational APIs and automation ...

Location: Sheffield (Hybrid - 3 days office/2 days home) | Permanent | Salary: £55,000 - £60,000 + Benefits Our client is investing in AI to make work smarter, faster, and more effective across the business. ...

such as GitHub, Copilot, Cursor, or similar Understanding of where AI adds value in the software development lifecycle Interest in emerging areas such as LLM APIs, RAG, or automation is beneficial but not essential If you're a developer who enjoys working across the full stack, solving challenging problems ...

Python and SQL and able to work effectively in existing codebases and with engineering teams. You understand that not every AI problem needs an LLM, and that good data, classical ML and sound engineering are often just as important. As a consultant, you can move comfortably between technical detail ...

friction and boost conversion. Build and maintain data products and dashboards to empower self-service data literacy for PMs, design researchers and engineers. Design LLM-ready data foundations for onboarding analytics, including clean business entities, event schemas, semantic definitions, metadata, retrieval-friendly documentation, and evaluation datasets that make data usable … building and owning production-grade analytical assets, such as dbt models, Airflow jobs, semantic layers, metric stores, governed dashboards, or trusted self-serve datasets. LLM-ready data thinking: You understand what makes data usable by AI systems: clean entities, stable identifiers, clear definitions, metadata, access controls, provenance, quality tests ...