19 of 19 Permanent LLM Jobs in Edinburgh

GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate ...

Collaborate with product and engineering teams to turn ideas into production-ready AI features Stay up to date with the fast-moving AI/LLM ecosystem Required Skills & Experience (A blend of): Strong experience with Python and common ML libraries (e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn) Experience with LLMs ...

Technical Understanding: Ability to read Python and understand complex software architectures. Infrastructure Knowledge: Professional-level certification in Google Cloud Infrastructure. Agent Experience: Understanding of LLM agents, including prompt engineering and core ADK/NGA concepts (instructions, callbacks, tools). Preferred Qualifications: Leadership Experience: Experience operating at an L7+ level equivalent ...

distributed systems, operating systems,machine learning systems architecture, Inference serving, and AI Infrastructure. Hands-on experience withLLM serving frameworks(e.g.,vLLM,Ray Serve,TensorRT-LLM,TGI) anddistributed KV cache optimization. Proficiency inC/C++, with additional experience inPythonfor research prototyping. Solid grounding insystems research methodology,distributed algorithms, andprofiling tools. Team ...

Responsibilities: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across ...

Type: Permanent On-Site Working Required, No Sponsorship Provided Responsibilities: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Responsibilities: Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing. This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving Design a heterogeneous execution framework across ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for ...

help build and lead a small AI team Core Technical Requirements: · 6–10+ years software engineering experience · 2–4+ years building AI/LLM systems in production · Experience building agentic workflows (tool calling, orchestration, RAG) · Strong backend engineering (Strong in Python essential) · API integrations with enterprise systems · Experience with vector … regulated environments (audit, compliance, governance) · Comfortable working with traders, quants and risk teams Nice to Have: · Human-in-the-loop systems · Trading desk automation · LLM provider-agnostic architecture · Experience moving PoC to Production in enterprise environments ...

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and ...

Engineering, or related field. · Strong knowledge of distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure. · Hands-on experience with LLM serving frameworks (e.g., vLLM, Ray Serve, TensorRT-LLM, TGI) and distributed KV cache optimization. · Proficiency in C/C++, with additional experience in Python ...

people leadership responsibilities. Tech Stack & Expertise Strong TypeScript experience across frontend and backend. Python for backend data services, automation, AI tooling, and integration with LLM-based features. Experience with distributed systems or cloud-native architectures (AWS preferred). Familiarity with React for front-end development. Understanding of modern CI/… containerisation, and observability. Exposure to AI/ML tooling, vector databases, embeddings, RAG workflows, or LLM integration is a plus. About You ~5+ years in software engineering with solid full-stack experience. Comfortable owning technical work end-to-end without needing to manage others. Strong understanding of system performance, scalability ...

across global social media platforms. This is not a traditional content role. You will operate at the intersection of AI, product and engineering - improving LLM performance through advanced prompt design, structured evaluation and data-led insight. What You'll Be Doing Design and iterate system-level prompts to improve LLM … operational excellence What We're Looking For 8-10 years' experience in content strategy, AI content, programme management or similar Hands-on experience with LLM evaluation and advanced prompt engineering Strong analytical capability with solid Google Sheets skills Proven ability to manage projects autonomously Experience working cross-functionally with product ...

About Us: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ...

. Products, systems, infrastructure — something that works in the real world, not a thesis. ∙ Technical range. The platform spans graph databases, real-time pipelines, LLM orchestration, and institutional-grade frontend. You don’t need to be an expert in all of these, but you need to learn fast and build … have to be able to explain it. The Stack ∙ Neo4j — the intelligence graph is the core of the product ∙ Python/Node.js ∙ React ∙ LLM orchestration and custom agent frameworks ∙ Cloud-native infrastructure built to institutional security standards ...

We are looking for a Technical Insight Specialist to lead research on emerging technology trends, evaluate global industry shifts, and help steer the future direction of high-impact technical projects. This is a rare bridge ...

full-time, permanent role focused on building the next generation of AI-native infrastructure and "Agentic Serving" architectures. Working at the cutting edge of LLM workloads and distributed systems, you will be supported by world-class experts in a high-growth environment. This is a unique opportunity to enter … Computer Science/Electrical Engineering, or a related field Proficiency in C/C++ Experience in Python for prototyping Hands-on experience with LLM frameworks Having one of these knowledge areas: distributed systems, operating systems, machine learning systems architecture, Inference serving, and AI Infrastructure Skilled in systems research, distributed algorithms ...