6 of 6 Permanent Artificial Intelligence Engineering Jobs in Oxford

in developing LLM-powered agents, assistants, custom tooling for developers, and AI automation frameworks. This is a hands-on role that combines software engineering, ML experimentation, and AI product innovation. You’ll be empowered to shape agent architecture, explore cutting-edge frameworks like LangChain and LlamaIndex, and be … frameworks like LangChain, LangGraph, LlamaIndex, etc. AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and … test prompt strategies to improve accuracy and responsiveness. Cross-Functional Collaboration: Partner with engineering, product, and QA teams to deliver agent-led automation solutions. Prototyping & R&D: Drive rapid prototyping of LLM-based solutions, develop PoCs, and validate ideas. Responsible AI: Promote safe, ethical, and transparent AI practices. More ❯

AI Engineer – Agentic Systems & Automation – £70,000 – Fully remote in UK A fast-growing company at the forefront of engineering innovation and AI automation is seeking an experienced AI Engineer to help develop intelligent, scalable agentic systems integrated into modern software development lifecycles. This role involves leading the … design and deployment of LLM-powered agents, developer tools, and automation frameworks that streamline workflows and elevate productivity. This is a hands-on engineering role that blends software development, AI experimentation, and product innovation. The successful candidate will play a key role in architecting agent-based systems, leveraging … LlamaIndex to enhance developer workflows. Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. More ❯

Data and Ai code scripts and make quality, performance, and efficiency recommendations. INDIVIDUAL RESPONSIBILITIES: Ability to independently analyse and solve complex data and AI engineering challenges. Stay updated on the latest Azure data and AI technologies and best practices. Proactively identify opportunities to enhance skills and knowledge. Effectively More ❯

DevSecOps best practices. Cloud-Native & Serverless Computing : Utilize AWS serverless frameworks to enhance scalability and efficiency. Collaboration & Leadership : Work closely with software and AI engineering teams while mentoring junior engineers. Legacy Workflow Integration : Manage ArgoCD, Airflow, Jenkins, Bitbucket, and Bamboo pipelines. Technical Ownership : Act as a tech owner … Continuous Learning : Stay updated with cloud and AI advancements, driving innovation and modern architecture solutions. Qualifications: Bachelor in Science or better in Computer Engineering or related field. Certifications in AWS Solutions Architect Professional and Kubernetes . Knowledge of publisher IT environments. Preferred Licenses & Certifications (One or More a More ❯

Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. … Data and Ai code scripts and make quality, performance, and efficiency recommendations. INDIVIDUAL RESPONSIBILITIES: Ability to independently analyse and solve complex data and AI engineering challenges. Stay updated on the latest Azure data and AI technologies and best practices. Proactively identify opportunities to enhance skills and knowledge. Effectively More ❯

own AI startup or built early-stage AI products from scratch. About you You’ll draw on your experience in AI/ML Engineering to drive the design of the platform and tailor it to be most efficient for AI Agents, and have the following: Experience working in … run small technical teams, worked directly with product, clients, and stakeholders. Action bias - you ship, you solve, you build. A solid background in AI (Engineering rather than Research) Possess a deep understanding of reinforcement learning, distributed training and Agentic AI Not for you if: You’re more strategist More ❯