276 to 300 of 2,312 LLM Jobs in London

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...

threat modelling, alongside broader cloud and enterprise security architecture. The successful candidate will have a strong security architecture background combined with genuine AI/LLM security experience. Exposure to technologies such as GCP/Vertex AI/Gemini, AWS Bedrock, Azure OpenAI, Anthropic Claude or LangChain/LangGraph would ...

pipeline Beneficial Aptitude with CI/CD pipelines (GitLab preferred) and cloud computing, preferably AWS Experience with harness engineering or integrating AI/LLM-based tooling into a workflow or CI/CD pipeline, or with AI-assisted code review, test generation or developer productivity tooling Experience of architectural migration ...

approach to engineering Comfort working directly with customers and technical stakeholders Strong written and verbal communication skills Nice to Have Experience building or deploying LLM, GenAI systems in production Knowledge of AI agents, RAG, MCP or prompt engineering Experience integrating enterprise applications such as HRIS, ITSM or ERP platforms Experience ...

essential for this role: strong Python, fluent with AI-assisted coding tools, comfortable working with a range of languages across the stack AI and LLM expertise are essential for the role: you understand the technical elements well enough to make confident decisions (how transformers work; familiarity with fine-tuning ...

across the organisationWho are we looking for? You are a strong software engineer who actively builds with modern AI technologies. You have experience delivering LLM-powered systems in production and understand how to design, evaluate and operate them effectively. The ideal candidate will have the following skills and experience: Hands ...

observability. Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross‐team dependencies and contribute to roadmap ...

Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from agentic workflows in the customer journey to LLM-powered tooling for our dealer network. What we build goes into the hands of real sellers and thousands of verified dealers, usually within weeks. When ...

knowledge management and ensuring effective transfer of technical expertise into permanent organisational ownership Particularly valuable: Experience with AWS Bedrock and AgentCore; RAG, agentic workflows, LLM judges and evaluation‐driven development and human‐in‐the‐loop systems Designing controlled learning and adaptation loops in which operational outcomes can generate lessons, skills ...

problems and create lasting value. Essential skills What are we looking for? You will lead the design, development and deployment of AI solutions, including LLM-based agents, automation and decision-support tools, helping clients achieve measurable outcomes while ensuring solutions can be operated safely and effectively in enterprise environments. Potential ...

/SHARP, RDMA/NUMA, or GPU interconnect topologies). Active open-source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT-LLM, Ray Serve, or TorchServe). Experience leading multi-team technical initiatives or partnering directly with enterprise customers on mission-critical platform launches. Wondering ...

focus on self-service; Nice to have: Experience with machine learning or statistical modelling in a production context, exposure to AI product development, LLM tooling, or data applications, experience with data quality frameworks, semantic layers, or data observability tooling, prior experience working with HR, people, or workforce data. Условия: Three ...

self‐direction and clear async communication skills, with experience thriving in distributed team environments. Familiarity with hosting, serving, or orchestrating agentic AI systems and LLM workflows. Nice-to-Have Experience building and scaling modern data pipelines or stream-processing architectures. Experience working with early‐stage technical companies Working Hours & Overlap ...

Strong investment in the best talent at the intersection of technology and finance [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlowProven experience shipping and maintaining AI-native products or features, or demonstrable passion through significant personal projects in AIExtensive ...

into production. Strong Python skills and experience developing backend services, APIs and data pipelines; SQL experience would be valuable. Hands-on experience with LLM applications, including areas such as agent workflows, tool use, retrieval or RAG, and connecting models to trusted data. Experience deploying and operating applications on a major ...

Foundry, and wants its engineers to become increasingly comfortable using AI as part of their work. That might mean using Copilot or another LLM for code validation, debugging, documentation or other practical development tasks. If youve done more than that, useful, but it isnt a requirement. Youll have the opportunity ...

mentoring others in writing code that is intuitive, clear, and easy to test Developing observability for new and existing ML applications and GenAI/LLM integrations , making use of the Grafana Stack (Prometheus, Loki, Tempo) Develop integrations and services that communicate with Google Services. Working closely with Data Scientists ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

global financial institutionsTrack record of leading complex technical evaluations, winning competitive PoCs, and building lasting technical relationships with strategic enterprise accountsExperience using AI and LLM-based tools in technical workflows, with the ability to articulate Snowflake's Cortex AI capabilities in an FSI contextBONUS POINTS FOR THE FOLLOWING:Direct experience ...

techniques, and algorithms with the right architecture, and begin to guide junior engineers on the project. You stay current with knowledge engineering, generative AI, LLM, and multi-modal models; look for opportunities to apply them to the problem at hand. You design, evaluate, and maintain ontologies as needed. You help ...

phrase "in practice" exactly once. Bonus points Previously founded a company. Startup experience. Design tooling literacy (Figma), or a design background. Experience with LLM‐backed product features: RAG, embeddings, evaluation. Go, or a willingness to learn it. It's what most of our backend is written in. Data or analytics ...

services and data. Design clean, minimal user experiences with close attention to detail, working alongside design and product. Explore and apply agentic AI and LLM capabilities where they meaningfully improve the product and work safely and efficiently with agentic engineering systems. Contribute to technical discussion and help refine requirements rather ...

behalf of banks, under real SLAs and bank-grade security. We're AI-native in how we build, not just what we sell: LLM evals score 100% of our conversations, adversarial agents attack every change before it reaches production, and our CI/CD runs its own AI agents : reviewing ...

with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions, and critical infrastructure Familiarity with a wide variety of Internet technologies ...

with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions, and critical infrastructure Familiarity with a wide variety of Internet technologies ...