Waymo★3.0 (61)· London

You will use Python, deep learning frameworks (JAX, TensorFlow/PyTorch), and C++ (preferred) to develop data-selection algorithms and scaling laws for foundation model training. The AI Foundations team builds machine learning solutions for autonomous driving, focusing on reinforcement learning, generative modeling, and robust evaluation to improve the Waymo Driver. You will report to a Senior Staff Software Engineer.

Jump Trading★3.8 (11)· London

Jump Trading seeks PhD/postdoc research scientists to apply machine learning and deep learning (transformers, SSMs) using Python, C++, PyTorch, TensorFlow, or JAX. The role involves conducting and implementing open-ended research projects to develop predictive trading models for the firm’s global financial market operations.

Jump Trading★3.8 (11)· London

Use Python, C++, PyTorch, TensorFlow, and JAX (plus CUDA/ROCm for HPC) to apply machine learning and deep learning research. The team of traders, quantitative researchers, and engineers uses statistical analysis and data mining to develop predictive trading models for global financial markets.

Axon★3.3 (126)· London

Work with LLMs, MLLMs, Computer Vision, and GenAI using Python, C/C++, TensorFlow, PyTorch, or Keras and ROS. As part of Axon's AI team, advance state-of-the-art models for intelligent reasoning and perception of multimodal data, deploying them in cloud, devices, and robotics. Provide technical leadership to junior scientists.

Nebius★0.0· London

You'll work with Python, Go, and/or C++ to build agentic search systems—a machine-optimized retrieval platform where AI agents iteratively plan, query, and reason over web data at scale. You'll design multi-stage retrieval architectures, develop ranking and embedding-based approaches, create evaluation frameworks for agentic workflows, and mentor engineers while owning technical direction across retrieval and ranking systems. This staff/principal role involves shipping production systems under strict latency and reliability constraints while leading research direction for a fast-growing team at Nebius, an AI cloud infrastructure platform.

You'll work with Python, C++, and related languages to develop world models, 3D/4D scene representations, and robotic planning systems at Reka, an AI research lab building foundational intelligence for physical world applications including robotics, wearables, and media. The role involves collaborating with ML researchers on multimodal generative models and hardware teams to ensure sim-to-real performance across robotic platforms.

Wintermute, an algorithmic trading firm specializing in digital assets, seeks an ML researcher to develop alpha signal generation pipelines using deep learning, particularly for high-frequency and time-series data. You'll work on data ingestion, feature engineering, model training, and deployment in collaboration with trading and infrastructure teams.

Hudson River Trading★4.5 (2)· London

You'll work on deep learning and foundation models that ingest market data to predict future market states, using GPU clusters with support for PyTorch, JAX, C++, and FPGA/ASIC development. Hudson River Trading's HAIL team develops and deploys these models directly for its trading operations, with researchers having significant autonomy within a small, focused team to improve all aspects from data featurization through architecture design to trading decisions.