6 of 6 Machine Learning Researcher Jobs in Central London

Quantitative Researcher - Machine Learning A fully automated algorithmic trading company in London have ambitious plans to grow their machine learning research team. All their researchers have an impressive academic background in mathematics, statistics, and physics and have published numerous academic articles in their respective fields. They enjoy a healthy work-life balance while tackling hard … problems in quantitative finance using AI and ML techniques. As a Quantitative Researcher, you will work with a fantastic team of data scientists and engineers on a wide scope of ML responsibilities to tackle hard problems in quantitative finance: Build machine learning trading strategies across a range of asset classes Design predictive models with scientific rigor Explore … new projects in neural networks and deep learning Oversee projects focused on finding trading product solutions Requirements for the Quantitative Researcher - Machine Learning position: PhD in a technical or quantitative discipline such as statistics, mathematics, physics, or computer science Intermediate skills in at least one programming language such as C, C++, Java, or Python Understanding of More ❯

Top-tier hedge fund is looking for an ML Researcher with strong NLP and modeling experience. You'll work with massive financial datasets to build predictive models that directly impact trading strategies. What You'll Do: Design ML workflows from data ingestion to live deployment Build and optimize data pipelines and benchmarking frameworks Apply NLP and statistical methods to … market data What They're Looking For: Strong background in machine learning, NLP, and statistics Proficient in Python and data wrangling Experience with PyTorch, TensorFlow, or XGBoost (a plus) MSc or PhD in a quantitative field More ❯

MACHINE LEARNING RESEARCHER - Sports Betting/Trading HYBRID - Once per week in London £100,000 - £180,000 + generous benefits COMPANY: We are working with a successful company focused on building advanced platforms for sports betting analytics and trading. They are looking for an ML/Quant researcher to join the team and drive innovation within … implementation. High level of autonomy to research whichever methods you felt would be best suited to the problem at hand REQUIREMENTS: A strong mathematical understanding of the fundamentals of Machine Learning and core Statistics Experience in doing research on cutting-edge models either in industry or academia. Passionate about learning new skills and techniques. Comfortable finding and More ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation … they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement … learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research community Collaborate with a world-class team of researchers and engineers Work on high-impact More ❯

Machine Learning Researcher – Applied ML | Stealth Quant Firm A well-funded, research-driven investment firm is hiring experienced ML researchers to work on high-impact problems in forecasting and optimization. The team combines deep machine learning expertise with vast, noisy real-world datasets to make fast, measurable decisions at scale. You’ll lead projects from More ❯

the Role We’re looking for smart and curious individuals from industry and academia to join our client's growing AI Lab and push the boundaries of applied deep learning in trading. On their AI team, you’ll build and train deep learning models that directly power their trading strategies, supported by a massive and rapidly expanding compute … next, you’re analysing how a model trades in production or designing a new architecture to capture subtle market signals. They will rely on your deep knowledge of deep learning, whether your background is in LLMs, recsys, image models, RL agents, or classical methods, to help shape the next generation of their ML-driven trading. You’ll also contribute … talks, and conference travel. Who We’re Looking For We’re open to a range of backgrounds and experiences, but the ideal candidate will have: An advanced degree in machine learning, statistics, applied math, or a related discipline; or equivalent experience in industry applying ML to challenging problems Expertise in one or more of: deep learning, reinforcement More ❯