Software Engineer IV – AI Research & Machine Learning Location: London, UK (Hybrid – 3 days onsite, King's Cross) Duration: 6-Month Contract (Extension Possible) Start Date: ASAP We are partnering with a leading global technology organisation that is driving cutting-edge research in Artificial Intelligence and Large Language Models (LLMs). This is a unique opportunity to join an elite AI research team focused on developing next-generation AI agents and machine learning systems that operate at scale. You'll collaborate with world-class researchers and engineers to build innovative AI solutions while contributing to research with real-world impact. Design and develop machine learning systems and AI agents. Build scalable tools and infrastructure for Large Language Models (LLMs). Develop and execute complex experiments involving large AI models and datasets. Collaborate closely with research scientists and software engineers. Translate research ideas into production-quality Python code. Contribute to the development of cutting-edge machine learning technologies. Strong experience in Machine Learning , Artificial Intelligence , or Large Language Models (LLMs) . Hands-on programming experience with Python and PyTorch . Experience developing or fine-tuning machine learning models at scale. Strong software engineering and problem-solving skills. Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Mathematics, Physics, or a related technical discipline. Experience with Generative AI or LLM research. Master's or PhD in Machine Learning, Artificial Intelligence, Computer Science, Mathematics, or Physics. Experience with AI agents, post-training, reinforcement learning, or large-scale experimentation. Previous experience within leading technology companies, research labs, startups, or academic research environments. Work alongside some of the brightest minds in AI research. Contribute to projects that are shaping the future of artificial intelligence. Exposure to state-of-the-art machine learning technologies. Potential for long-term opportunities based on performance. If you're passionate about Machine Learning, Generative AI, and building intelligent systems at scale, we'd love to hear from you.
