751 to 775 of 2,243 LLM Jobs in London

empathy skills to build in a way that will make these customers love Wise. You have direct and extensive experience in building machine learning, LLM or other advanced algorithmic or data heavy products. Bonus points if this was in anti-money laundering, fraud, fincrime or trust and safety domains. ...

quality and connect data decisions to product outcomes. - Excellent communication and collaboration skills across research, engineering, data, and business teams. - Experience with AI Agents, LLM evaluation, RLHF/RLAIF, data annotation platforms, or model training data pipelines is a strong plus. Basic understanding of LLMs, AI Agents, and reinforcement learning.Strong ...

Microsoft365, including M365 Copilot Teams and SharePoint‐related infrastructure. Knowledge of AzureAIFoundry and Microsoft365 SDK. Knowledge of Model Context Protocol, Agent‐to‐Agent and LLM selection (advantage). Software development experience, including proficiency in one or more of the following: Python, JavaScript, JSON, React and related scripting, .NET technologies (C# ...

regulated financial services; production experience with graph-based methods such as GNNs, entity resolution, and link analysis; foundation model fine-tuning or LLM evaluation experience; experience establishing modern ML practices in organisations scaling their ML capabilities Условия Starting salary: £145,000 - £182,000 + RSUs Wise Benefits #J-18808-Ljbffr ...

approaches succeed or fail. Comfortable operating in a fast-moving, highly ambiguous research environment where priorities can change quickly. Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in ML/ ...

understanding of Oracle Fusion Applications architecture . Experience across Oracle Fusion ERP, HCM and/or SCM . Strong understanding of Generative AI and LLM concepts . Experience with prompt engineering and/or model fine-tuning. Experience designing complex enterprise integrations . Strong solution architecture and technical design skills. ...

FinCrime, fraud detection, AML, or regulated financial servicesExperience with graph-based methods (GNNs, entity resolution, link analysis) in productionFoundation model fine-tuning or LLM evaluation experienceExperience establishing modern ML practices in organisations scaling their ML capabilitiesInterested? Find out more: How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update ...

Engineer Design & implement AI features Build LLM-powered chat, search, summarisation, classification, extraction, agents, and multimodal interfaces. Model selection & testing Compare hosted/open models for quality, latency, cost, privacy, and deployment needs. Prompt engineering & orchestration Create robust prompt templates, conversational memory, tool-use logic, and RAG pipelines. AI Engineer ...

job. There are no LeetCode‐style general coding interviews. If you want to prepare for the interviews, we suggest working on hands‐on LLM evals projects (e.g. as suggested in our starter guide); such as building LM agent evaluations in Inspect. #J-18808-Ljbffr ...

security, legal and procurement) Experience with value-based selling and presenting a business case to C-level and VP-level stakeholders Production experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale Familiarity with enterprise security, compliance, and architecture requirements, ideally in regulated ...

clients Proven threat modelling and security design review experience, with the ability to write clear security standards Strong differentiators: Awareness of AI and LLM security risks (a live priority here, not a futureone) Network segmentation, Zero Trust, and SASE/SSE experience, SABSA certification The environment This firm moves fast. ...

with security, legal and procurement)Experience with value-based selling and presenting a business case to C-level and VP-level stakeholdersProduction experience with LLM-powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scaleFamiliarity with enterprise security, compliance, and architecture requirements, ideally in regulated sectorsThe ...

view on AI design patterns, backed by shipped work. Technical depth – comfort with front-end fundamentals (React, component architecture, design tokens), APIs & how LLM-based systems actually behave – latency, hallucination, non-determinism – & how those constraints shape interface decisions. You can review a PR conversation & hold your own in an architecture ...

/Slack-style tools) as well as standard social channels and community management tooling. Effective AI Usage: Demonstrated, practical fluency with modern AI tools (LLM-based writing/research assistants, AI-assisted analytics, content generation tools) and good judgment about when human review and accuracy checks are non-negotiable. Comfortable ...

Demonstrated ability to work independently on open-ended adversarial problems. Good-to-haves Familiarity with AI safety concepts, particularly agent-related risks Experience with LLM-as-a-judge setups or AI monitoring more broadly Background in penetration testing, CTFs, or computer security more broadly. We want to emphasize that people ...

Experience with incident response, specifically leading a real security incident through to resolution and customer communication. Experience with AI/ML systems security or LLM security. REPRESENTATIVE PROJECTS Design a security roadmap for keeping Watcher's customer data secure: Watcher runs on top of coding agents and accesses highly sensitive ...

roadmap/backlog management, delivery and post-launch optimisation At least one credible end-to-end enterprise AI or GenAI implementation Experience taking an LLM-based solution from discovery through to production Strong practical understanding of AI and GenAI capabilities and limitations Excellent stakeholder management skills, including working with senior ...

culture. Reasoning under uncertainty: Can pick up unfamiliar systems and make sound architectural decisions without a complete picture. AI-assisted development: Fluent with LLM-assisted workflows and confident both steering AI tooling toward high-quality output and knowing which problems are better solved by humans. Collaboration: Experience or appetite ...

product management or business operations role at a mobile app developer. Experience working with data visualization tools to deliver results. Experience working with LLM tools, creating context documents, evaluating outputs. Experience using SQL to retrieve data from large data warehouses, or excellent technical abilities and a desire to learn SQL. ...

About Comet Comet is building the development platform for teams who want to ship robust, reliable, and responsible AI applications. Opik, our open source LLM evaluation framework, has quickly become one of the most popular tools in the space. Our experiment management platform is used by data scientists at companies ...

especially for enterprise use cases Translate ambiguous business problems into structured technical plans and deployable systems Work across knowledge graphs, structured and unstructured data, LLM-based workflows, and automation Lead technical discovery, solution design, implementation, and rollout with customer stakeholders Act as a trusted advisor to customer teams, from operators ...

designing automated, AI-driven alternatives that enhance operational velocity. Experience in context and spec engineering, systematically structuring data, constraints, and operational guidelines to optimize LLM performance. About The Job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help ...

research team to optimise the platform they rely on every day. What we're looking for Experience operating infra at scale, preferably for LLM workloads. Depth in Kubernetes internals, cluster provisioning, and orchestration systems. Comfortable across the stack: Kubernetes, Linux, networking, containers, cloud environments. Strong systems thinking: you care about ...

also have experience: Leading large scale engineering projects with high impactDriving XFN projects collaborating with Product, Design, Data & ResearchWorking with user facing LLM and agentic product featuresExperience curating and developing eval sets and LLMs as judgesAt Figma, one of our values is Grow as you go. We believe in hiring ...

Datasite’s solutions. Serve as a key driver of our product strategy by gathering client feedback and field insights on our AI/LLM roadmap, helpful to guide the future direction of our platform. Manage and respond to the technical components of RFIs/RFPs, collaborating with internal teams ...