2 of 2 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 ❯