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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - Agentic AI & Reinforcement Learning - **Company:** Viridien - **Location:** Crawley, UK - **Salary:** £55,262.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Distributed Computing Environment, Python (Programming Language), Machine Learning, Language Modeling, Open Source Technology, Tensorflow, Software Engineering, Systems Integration, Workflow Management Systems, Reinforcement Learning, Supervised Learning, Graphics Processing Unit (GPU), Pytorch, Transfer Learning, Large Language Models, Multi-Agent Systems, Generative AI, Information Technology - **Published:** September 30, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5887475614 ## About the Role * Degree in computer science, artificial intelligence, machine learning, engineering or a related discipline, or equivalent practical experience. * Good Python programming skills and an understanding of software engineering practices. * Experience building machine-learning, generative-AI or LLM applications, gained through employment, industry or research internships, applied research or significant academic projects. * Experience with PyTorch, JAX, TensorFlow or a similar framework. * Familiarity with core agentic AI concepts such as tool calling, planning, memory and workflow orchestration. * An understanding of reinforcement learning, preference optimisation or sequential decision-making. * Some experience evaluating models or implementing ideas from machine-learning research. Desirable * Familiarity with multi-agent systems using LangGraph, AutoGen, smolagents or similar frameworks. * Some exposure to LLM fine-tuning or preference and reinforcement-learning approaches, such as DPO, GRPO, RLHF or RLAIF. * Experience designing reward functions, graders or agent training environments. * Familiarity with Model Context Protocol or other approaches to tool integration. * Exposure to training or deploying open-source language or vision-language models using GPUs, including distributed training. * Experience applying AI to scientific, engineering, energy or geoscience workflows. ## Description We are looking for a hands-on Machine Learning Engineer to help build and evaluate intelligent agent systems, turning emerging AI methods into robust and adaptive solutions for scientific applications. Who you'll work with As a member of our AI Lab, you'll collaborate with senior machine learning engineers, software developers, HPC specialists and scientific domain experts across Viridien. Learn more about the team on our website, in a recent blog post featuring one of our senior machine learning engineers and from our Voices of Viridien. What you'll work on * Designing and developing single-agent and multi-agent systems. * Implementing and evaluating capabilities such as reasoning, planning, task decomposition, memory, tool use and agent collaboration. * Integrating LLMs, vision-language models, retrieval systems and domain-specific tools. * Experimenting with fine-tuning and adapting foundation models using supervised learning, preference optimisation and reinforcement learning where appropriate. * Developing training environments, reward functions, graders and feedback mechanisms. * Designing evaluations, guardrails and monitoring approaches for agent reliability. * Helping turn successful prototypes into APIs, services and reusable software components., We are also dedicated to ensuring that our hiring process accessible to all. If you require any reasonable adjustments to fully participate in the application or interview stages, please don't hesitate to contact your recruiter directly. ## Related Videos - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [ I Gave a Video Editor More Autonomy Than a Trading Bot. On Purpose.](https://www.wearedevelopers.com/magazine/773-i-gave-a-video-editor-more-autonomy-than-a-trading-bot-on-purpose)