1,426 to 1,450 of 2,323 LLM Jobs in London

Amsterdam, Netherlands/Berlin, Germany/London, United Kingdom/Belgium, Belgium/Croatia, Croatia/Munich/Warsaw, PolandProduct Management/Full-Time (Remote)/RemoteBefore jumping into all the information about the role ...

Yuno · Europe · Remote · Full Time · Experienced Engineering Manager 1. Overview Who We Are Yuno is the payment orchestrator built for global scale, founded by the team behind Rappi, one of Latin America's most ambitious ...

Technical Product Manager - GenAI Platforms - Agentic Infrastructure - CTO Office Location London Business Area Engineering and CTO Ref # 10052194 Description & Requirements Bloomberg’s CTO Office is the future-looking technical and product arm of Bloomberg ...

JOB DESCRIPTION At the company, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and ...

Technical Product Manager - GenAI Platforms - Agentic Infrastructure - CTO Office Location London Business Area Engineering and CTO Ref # 10052194 Description & Requirements Bloomberg’s CTO Office is the future‐looking technical and product arm of Bloomberg ...

Senior Engineer We're looking for a pragmatic builder to own and evolve the core Hesta platform as we iterate towards product-market fit. About Hesta Health Hesta is creating a new benchmark in women ...

# AI Strategist - Senior ConsultantLondon, Manchester, GlasgowApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 503758-en\\_GB## **CAPGEMINI INVENT**At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend ...

Internal Job Level: Associate Reports to: Rapid Application Development Manager Job Overview In this role you will be working with the Product, Infrastructure, QA, and Operations teams to solve complex problems at speed. Unlike our ...

Senior Rapid Application Developer ***Hybrid, 3 days a week in the office 2 days remote*** About the Company Senior Rapid Application Developer (Financial Services, FinTech, Trading, Low Latency, C++, Linux) My client is a leading ...

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off ...

About Us Acceldata is the market leader in Enterprise Data Observability. Founded in 2018 and backed by top investors including Insight Partners, March Capital, Lightspeed, Sorenson Ventures, Industry Ventures, and Emergent Ventures, we are a ...

Allocator is a data technology company that provides an intelligence platform for institutional investors (LPs) in private markets. We help pension funds, endowments, foundations, family offices, and fund-of-funds transform how they manage and ...

About Flash Pack: When was the last time you made a new friend? Friendship profoundly improves our emotional wellbeing, sense of belonging, purpose and happiness. Everyone wants more human connection but making new friends is ...

# Java Full Stack Engineer-Consultant-Digital ExcellenceGlasgow, London, Manchester, Newcastle Bank HouseApply for this job* Permanent* Experienced Professionals* Strategy & Transformation* ID 521020-en\_GB## **ROLE DETAILS****SBU - Invent****CU - Business Technology****Global Grade - B ...

About Zip Zip is the AI platform for enterprise procurement — built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the ...

Location: Manchester or London (Hybrid) Help shape the future of AI-powered cyber intelligence. We're building the next generation of AI-powered cyber intelligence. That means moving beyond dashboards and reports towards intelligent systems ...

Job Title: Software EngineerLocation: London/Hybrid. Type: Full-time Level: Mid Level Reports to: Rust Engineering Lead About Elwood Elwood Technologies is a FCA regulated firm that provides end-to-end digital asset Execution ...

Our client is a leading global investment bank. JOB DESCRIPTION Join us to shape the future of AI and machine learning in financial services. You will lead innovative projects that deliver real business value, working ...

conversations through technical design, implementation, and iteration to deploy them at scale across the ESG market You’ll combine strong backend and AI/LLM engineering with product judgement and the initiative to work out what should be built - not just how to action a predefined ticket Own product features … improvement Design and build scalable backend systems, including APIs, data models, workflows, and infrastructure for complex enterprise products Build and ship applied AI/LLM features, such as LLM chains, RAG systems, tool-using agents, structured-output pipelines, and evaluation workflows Create reusable, extensible platform building blocks that support multiple ...

core of how enterprises secure, govern, and control AI agents – spanning the Agent Gateway that governs agent-to-agent (A2A) communication, and the LLM control layer that gives enterprises centralized command over every LLM their agents call. You'll work close to customers and close to the code, owning … slice of the Agent Gateway or LLM control roadmap end to end – depending on where your strengths and interests point. This is a role for someone who wants to own outcomes, not just tickets: you'll help decide what gets built, then build it. What You’ll Be Doing ...

multi-step reasoning. Model Development & Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches. LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost. Production Engineering: write clean, maintainable Python … Python; solid software design; experience working in production environments. AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents). Systems Thinking: ability to reason about trade‐offs (accuracy, latency, cost, reliability) and design accordingly. Data Skills ...

risk summaries for FinOps leads and the Security. AI-Driven Innovation: Research, architect, and safely embed cutting-edge AI utilities and Large Language Model (LLM) agents directly into our secure infrastructure. WHAT YOU WILL NEED5+ years in security engineering, platform security, or application security experience. Proven expertise in Threat Modeling. ...

Description NLP/LLM Scientist – Applied AI ML Lead – Machine Learning Centre of Excellence The Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, large language models, and recommendation systems. The candidate must ...

Data Platforms team develops generative AI systems and products at global scale. Задачи: Lead the end-to-end development and productionisation of LLM-based systems, from upstream training and reinforcement learning through fine-tuning, alignment, and deployment of globally scaled products Design and implement LLM evaluation and benchmarking frameworks … engineering craft Требования: Extensive hands-on Machine Learning engineering experience and a track record of shipping ML-powered products at scale Practical expertise in LLM fine-tuning, alignment, and customisation, including RLHF, LoRA, QLoRA, prompt optimisation, and LLM evaluation and benchmarking Strong software engineering proficiency in Python, Swift, and Java ...

machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods … Operations Research, Optimization, or Data Science Or an MS with significant years of industry or research experience in the field. Solid background in NLP, LLM and graph analytics and hands‐on experience and solid understanding of machine learning and deep learning methods Hands on experience building agentic AI/multi ...