626 to 650 of 2,765 LLM Jobs in England

build Invoka's reputation in the market. Required Skills and Experience Production AI systems you have actually shipped. You have designed, built and deployed LLM-based systems that run in production with real users, uptime expectations and sensitive data. We will want to talk about who uses them, how often ...

also valuable where it demonstrates real depth and an ability to move intelligently between technologies. Experience with Oban, Broadway, distributed Elixir, data engineering, LLM integrations, regulated domains, consultancy, early‐stage products or coaching other engineers would all be useful. We don’t expect one person to bring all of them. ...

experience Proactive and resourceful with an entrepreneurial spirit, excited by the opportunity to help scale Palladium's AI capability Technical knowledge of AI platforms, LLM tooling, RAG architectures, or orchestration frameworks, even if not at an engineering depth Familiarity with the Private Equity landscape, portfolio company dynamics, or PE-backed ...

time is when you expect to find the next step change. Judgement. You critically evaluate model output – yours, a colleague's, or an LLM's – and can explain why a choice is right. You defend your reasoning under challenge, and challenge others' when the evidence points elsewhere. You've influenced ...

autoscaling strategies, and mentoring senior and mid‐level engineers. Preferred Direct open‐source or production contributions to modern inference frameworks (e.g., vLLM, Triton, TensorRT‐LLM, Ray Serve, or TorchServe). Deep experience with GPU systems engineering and hardware performance optimisation (e.g., CUDA, NCCL, RDMA, NUMA, or GPU interconnects). Direct ...

useful: ServiceNow, Halo, Jira Service Management, OpenTelemetry, distributed tracing, Slack/Teams automation, datacentre or colocation environments, GPU infrastructure, DCIM, IPAM, virtualisation platforms or LLM-assisted operational automation. This is not an AI/ML development position. We're looking for someone who understands production infrastructure and can use software ...

enabling platforms (SAP S/4HANA, Oracle Fusion, Workday, ServiceNow or similar)Understanding of AI-led transformation in back-office operations — including intelligent automation, LLM-enabled workflows, agentic process handling, and AI governance considerationsStrong consulting skills and senior stakeholder engagement capabilityAbility to work across sectors (Financial Services, Public Sector, Healthcare ...

event-driven architectures Taking ownership of technical delivery across key product areas Mentoring engineers and setting engineering standards Working with AI-driven products, LLM integrations and agentic workflows Influencing architecture decisions and long-term technical direction Building secure, scalable and maintainable systems capable of supporting rapid growth What ...

long-term impact.**How You’ll Contribute*** Own the technical direction, architecture, and implementation of AI systems end-to-end* Design and build LLM-powered and agent-based solutions from concept to production* Establish engineering standards, patterns, and reusable components across use cases* Own key technical decisions on models, tooling ...

CD. Better than it was, not where we want it. For a concrete example: here's how we built a sandboxed execution environment for LLM‐generated code. Technical Environment Mostly production, with the occasional internal IT‐adjacent project: Main sites in Paris, London, Toronto and NYC MacOS, Windows, Linux workstations ...

technical room. Comfort with ambiguity, direct customer contact, and the pace of a team that ships. Bonus: experience with agentic/LLM-based systems, or building ML in production. Who thrives here We’re looking for builders — smart, switched-on people who want to be handed a genuinely hard real ...

right tool for the job Cloud‐native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full ...

creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software ...

evidence‐based content, working closely with clinical leads to ensure what ships is both rigorous and genuinely useful. Experiment with and integrate the latest LLM tooling, evaluation frameworks and AI techniques — we expect you to stay at the frontier and bring ideas in, not just implement what's specced. Direct ...

coaching and community leadership. Skills and experience we are looking for: You’ll bring experience in many of these areas: Delivering production AI or LLM-powered systems at enterprise scale. Expert-level Python engineering. Multi-agent architectures and orchestration frameworks. Context engineering, retrieval systems and memory architectures. MCP server ...

development Nice to haves: Experience as a founder or early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure ...

technical stakeholders, making complex decisions accessible and building alignment. Nice to have: Experience building conversational UIs or real-time streaming interfaces. Experience building with LLM-powered applications or AI product features. We value diverse experiences and perspectives, especially in this age of non-linear careers. We encourage you to apply ...

Data Cloud Proven ability to lead and own complex, ambiguous engagements end-to-end — from discovery through to measurable outcomes Experience leading AI/LLM solution design, including agentic AI strategy, conversation design, and responsible AI practices Strong project and program management skills — ability to run multiple work-streams, manage ...

teams. Degree in Computer Science or a related field, or equivalent professional experience. Even better... Hands-on experience with Go services, GraphQL APIs, or LLM infrastructure in production environments. Past experience at an early-stage company where you built deployment operations, playbooks, and tooling. Familiarity with observability and incident management ...

Hands-on experience with a cloud data platform in production (Databricks preferred): workspaces, catalogs, permissions and compute. Practical experience integrating AI into real tools - LLM APIs, retrieval, agents - with a clear-eyed sense of what works and what's still a demo. Practical identity and access experience - SSO, service accounts ...

Hands‐on experience with a cloud data platform in production (Databricks preferred): workspaces, catalogs, permissions and compute. Practical experience integrating AI into real tools - LLM APIs, retrieval, agents - with a clear‐eyed sense of what works and what's still a demo. Practical identity and access experience - SSO, service accounts ...

takes keyword opportunities and produces high-quality pages, at scale. Shape Preply's positioning in AI Search as discovery shifts from blue links to LLM answers - defining the content, structure, and signals that win on this new surface. Continuously evolve the page-creation engine to stay ahead of evolving search ...

Hands-on experience with a cloud data platform in production (Databricks preferred): workspaces, catalogs, permissions and compute. Practical experience integrating AI into real tools - LLM APIs, retrieval, agents - with a clear-eyed sense of what works and what's still a demo. Practical identity and access experience - SSO, service accounts ...

Yadimen Consulting Limited is seeking a skilled AI Engineer to design, develop, and maintain Copilot agents, plugins, and LLM workflows. You will build scalable components, integrate with enterprise systems, and implement secure AI practices within a modern cloud-native stack. The role focuses on RAG architectures, vector databases, embeddings ...

delivery team. You will contribute to the full software lifecycle across client work, internal builds, and bids, with a strong emphasis on AI layers, LLM integration, and data pipelines. You will work in cloud environments (AWS/Azure), design RAG architectures, and implement infrastructure as code while maintaining high-quality ...