Health ML Research Lead — Time-Series & Multimodal Models

Google LLC; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Google in London seeks a Senior Research Engineer, ML Lead, Health Frontiers to drive frontier ML research and design scalable models for multimodal health data. You will lead development and evaluation of novel architectures and experimentation systems in a fast-paced team focused on health biomarkers.

You will mentor junior researchers, collaborate across health platforms, and translate research findings into production-ready solutions that improve user health outcomes.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in machine learning research or research engineering, including experience leading technical projects.
• 3 years of experience training, adapting, or evaluating large-scale foundation models, and building data pipelines for heterogeneous datasets.
• 3 years of experience with modern machine learning frameworks (e.g., JAX, PyTorch, TensorFlow) and distributed training on accelerators.
• 3 years of experience designing evaluations, metrics, and controlled ablations for research projects.

Responsibilities

• Design, train, and evaluate machine learning models, owning the full experimentation loop.
• Develop automated-research agents capable of running quantitative evaluations, generating hypotheses, and executing computational experiments.
• Develop evaluation frameworks that test scientific reasoning, temporal understanding, calibration, generalization, data leakage, and real-world utility.
• Work with scientists to translate research questions into measurable endpoints and experimental designs, and provide technical leadership through architecture reviews and mentoring.
• Provide decisive technical leadership by taking ownership in team settings, actively steering technical agendas, and making concrete decisions to overcome technical stalemates.

Skills

Machine Learning Research

Leadership

Data Pipelines

Distributed Training

Model Evaluation

Education

Bachelor's degree or equivalent

Master's degree or PhD preferred

Tools

JAX

PyTorch

TensorFlow

TPU/GPU clusters

Job description

Google in London seeks a Senior Research Engineer, ML Lead, Health Frontiers to drive frontier ML research and design scalable models for multimodal health data. You will lead development and evaluation of novel architectures and experimentation systems in a fast-paced team focused on health biomarkers.

You will mentor junior researchers, collaborate across health platforms, and translate research findings into production-ready solutions that improve user health outcomes.