26 to 31 of 31 Machine Learning Researcher Jobs

research role you will develop and test your ideas with real‐world data in an academic environment. Qualifications Either a post‐graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. Exceptional candidates with a proven record of success … online data science competitions, such as Kaggle. Experience in deep learning, reinforcement learning, non‐convex optimisation, Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object ...

level Machine Learning Scientist is needed to join this amazing research team based near Cambridge. This is a unique opportunity to work at the forefront of AI research, contributing to projects that push the boundaries of what’s possible in machine learning. You will play … role in designing, implementing, and advancing cutting-edge methods in: Reinforcement Learning (RL) Large Language Models (LLMs) Optimisation for Deep Learning You’ll work alongside a team of world-class researchers, developing new approaches, publishing at top-tier venues, and translating research into impactful real-world applications. Experience ...

ideas with real-world data in an academic environment.Who are we looking for The ideal candidate will have:Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with … proven record of success in online data science competitions, such as KaggleExperience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inferenceExcellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don’t always work ...

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 … 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 ...

looking for smart and curious individuals to join our growing team and drive our ML work. On our Machine Learning team, you’ll build the deep learning models that power our trading strategies, supported by our rapidly growing computing cluster with tens of thousands of high … debugging distributed training performance or studying how our model likes to trade in production. We’ll rely on your in-depth knowledge of the machine learning landscape and understanding of a variety of approaches—drawn from LLMs, image models, RL agents, recommendation systems or classical ML methods ...

that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.The Machine Learning Researcher will have a deep understanding of the principles behind modern ML algorithms — including recent advances such as transformer-based architectures ...