3 of 3 Machine Learning Researcher Jobs in London

research lab on Project Vesuvius, an initiative designed to evaluate and enhance the ability of large language models (LLMs) to generate structured, high-quality research plans for open-ended machine learning problems. We are seeking Machine Learning Researchers and PhDs to serve as annotators who will assess and provide structured feedback on AI-generated research plans. … The goal is to improve how LLMs function as brainstorming partners for machine learning research. This is a remote, short-term engagement with flexible hours and opportunities to contribute to frontier AI evaluation and research. Key Responsibilities Evaluate and compare AI-generated research plans for clarity, feasibility, and technical soundness. Design and compile ML tasks based on real … world challenges and research competitions. Draft detailed, executable natural language plans for machine learning workflows. Implement and validate research plans in Python within a Docker environment. Assess outputs against structured rubrics, provide usefulness scores, and deliver concise, objective feedback. Ideal Qualifications 5+ years of experience in applied machine learning or a PhD in machine learning More ❯

the digital asset market and are taking a leadership position in building an innovative and compliant market. You can read more here. Working at Wintermute You are an experienced machine learning engineer or researcher with a strong track record in applied deep learning, ideally in domains involving high-frequency or large-scale time-series data. You … using high-frequency order book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and implement advanced deep learning architectures for short-horizon forecasting and signal extraction. Collaborate with quant researchers and developers to integrate models into live trading environments. Optimise inference latency and robustness; ensure models behave … safely under live market conditions. Continuously refine model quality through systematic backtesting, live evaluation, and monitoring. Hard Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world problems. Familiarity with time-series modeling, signal More ❯

Development to Mechanical and Chemical Engineering, offering opportunities for talented individuals who want to shape the future of materials and their applications in high-impact industries. As a Staff Machine Learning Researcher at Orbital, you will architect cutting edge AI systems for the multi-scale design of physical technologies. When we say multi-scale, we mean it … management; you will be dedicated to mentoring and fostering the growth of your team. First and foremost, we want to work with someone with a love of craftsmanship, continual learning, and building systems that scale. We also value low ego, and a genuine passion for using AI to solve major global industrial technology challenges. Key Responsibilities Set the technical … develop and lead technical talent Provide technical leadership, mentorship and career development for AI engineers Manage the intake and development of AI residency programme participants Foster a culture of learning, curiosity and first-principles problem solving Build a high-performing team that can independently tackle complex, novel problems What We're Looking For 5+ years of professional experience in More ❯