626 to 650 of 2,267 LLM Jobs in London

A leading project solutions provider in Greater London is seeking a Data Scientist to develop solutions at the intersection of data science and AI. The ideal candidate will have hands-on experience in analytics, strong ...

A financial services company in Greater London is seeking a Senior AI Engineer to design and deliver AI systems integral to their business processes. This hands-on role involves building production-grade solutions utilizing LLMs ...

Client Server Ltd. in London is seeking a Founding Engineer to own the design and development of scalable, cloud-native Python applications for an AI start-up serving regulated industries. You will work across the ...

changing environment. Design and implement sophisticated agentic systems and multi-step AI prompts to solve complex, open-ended scientific tasks using the latest LLM reasoning advancements. Establish frameworks and metrics to measure model performance, driving continuous quality improvements and model fine-tuning for specific scientific use cases. Work closely with ...

experience with AI coding agents. For example, having extensively used and compared frontier coding agents, or having designed/developed coding agents Experience with LLM-as-a-judge setups or AI monitoring more broadly Experience designing and running experiments, analyzing results, and iterating based on empirical findings e.g. prompting, scaffolding ...

learning, computer science, statistics, mathematics, operations research, engineering, or a related quantitative field. Demonstrated experience pre-training a large model from scratch (Transformer/LLM/multimodal/time-series). Experience limited to API usage or prompt engineering is not sufficient. Experience building large-scale data pipelines and distributed ...

penetration tests. You will also work autonomously to identify areas where our manual processes slow down. You will write code and integrate AI/LLM solutions to automate initial triage and data enrichment, building tools that help the team handle security findings at scale. In short, your work will ...

including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience shipping user‐facing products or internal platforms people love: interviewing users, hunting down friction ...

closely related discipline. • Practical exposure to AI/ML or GenAI cost management and an understanding of token-based consumption. • Knowledge of how LLM/GenAI pricing and consumption works, including areas such as input/output tokens, caching and different model/provider pricing structures. • Experience analysing cloud consumption ...

will: Manage a highly talented team of SDEs on the Rufus Agentic team, building scalable software systems and customer experiences powered by AI and LLM technologies. The role involves interacting with product, program, engineering, science, and other Rufus and broader Amazon teams to clarify requirements and build execution plans ...

heart of the platform. This is a hands-on role where you'll own problems end-to-end—from designing production-grade LLM systems and agentic workflows to building evaluation frameworks and deploying scalable AI services. You'll have significant influence over both the technical architecture and the direction ...

Deployed Engineering or professional services functions in startups or high-growth companies. Experience deploying AI agents and designing AI-powered workflows (MCP, Agent APIs, LLM applications, prompt engineering, retrieval/RAG, workflow orchestration). Experience with ETL/ELT workflows, schema mapping, validation scripts, and large-scale migration tooling. Experience ...

technology investment is driven by validated client and user needs, strategic value and measurable outcomes rather than internal agendas.· Stay current on AI and LLM capabilities and the vendor landscape, and assess their relevance to insurance operations and growth.Adoption, Governance & Behaviour Change· Drive practical AI adoption across the wider team ...

expect to be involved in the following: Own the technical direction, architecture, and implementation of AI systems end-to-end. Design and build LLM-powered and agent-based solutions from concept through to production. Establish engineering standards, reusable patterns, and scalable frameworks across AI initiatives. Make key decisions on models ...

technology investment is driven by validated client and user needs, strategic value and measurable outcomes rather than internal agendas. Stay current on AI and LLM capabilities and the vendor landscape, and assess their relevance to insurance operations and growth. Adoption, Governance & Behaviour Change · Drive practical AI adoption across the wider ...

bioanalytical sections for successful IND submissions. Nice to haveExperience of generating reagent in collaboration with drug design teamsExperience of developing or using AI tools (LLM) to accelerate processes including reportingCulture and valuesWe are guided by our shared values. It's not about finding people who think ...

quality research and data packs using standard templates; use automation where appropriate to improve consistency while keeping human review of key facts. Use approved LLM-powered tools as an enabler to accelerate research/summarization/first drafts, followed by human validation, correction, and explicit evidence capture. Support analysts with ...

What we're looking for A strong software engineer with real experience in APIs, cloud systems, testing and production operations Practical, working knowledge of LLM application patterns Different seniority levels welcome a solid engineering fundamentals matter more than years of AI-specific experience A problem-solver mindset, comfortable working across ...

micro-frontends, covering performance (Core Web Vitals, rendering, code splitting, CDN), API integration (REST, OpenAI, Bedrock), and service scalability/resilience. Expertise in LLM-powered web system design (state, caching, guardrails, observability) and strong communication skills for mentoring engineers and setting technical direction across teams. ...

knowledge with engineering expertise. What you’ll bring 3+ years experience in machine learning algorithms, software engineering, and data mining models, withlarge language modelling (LLM) experience being advantageous. A background in maths, statistics, and algorithms, with the capability to write robust scalable Python code. A strong understanding of the mathematical ...

week . This is a 12 month temporary contract to start ASAP Day rate: Competitive Market rate Key Requirements & Responsibilities AI Security Engineerings LLM Security/Model Security experts AI Red Teaming specialists AI Governance & Guardrails specialists Security Data Scientists Secure CI/CD pipelines Secure configuration management Excellent stakeholder ...

design, contact centre strategy, WFM and automation. AI & tooling fluency Understands AI automation in a CX context: IVR/chatbot design, agent assist tools, LLM-powered workflows. Speed to competence Gets up to speed fast on unfamiliar technology stacks. Can read a product and understand business implications without hand-holding. ...

multi-agent or fleet context Experience building operator-facing tooling: dashboards, authoring UIs, or systems that translate human intent into structured actions Exposure to LLM-based agentic systems, particularly using AI to generate or modify structured representations from natural language Experience integrating with third-party enterprise systems ...

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 ...

research code while understanding the underlying investment rationale. Experience deploying machine learning models and supporting end‐to‐end production workflows. Exposure to AI tooling, LLM‐based workflows, or the development of AI‐enabled solutions. #J-18808-Ljbffr ...