Senior ML Algorithm Scientist

United States Digital Space LLC; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Benefits offered by this job

Flexible working hours

Remote working arrangements

Ring ownership and employee discounts

Excellent team culture

Health and well-being focus

Job summary

The Senior ML Algorithm Scientist role is based in London, UK, within the Future Physiology team. You will own the ML and algorithm development pipeline, from signal processing to training, evaluation, and deployment, turning multimodal biosignal data into reliable health metrics for millions of users.

You will collaborate with hardware, firmware, and data infrastructure teams to ensure feasibility and production readiness.

Qualifications

• 5–7+ years in ML and biosignal processing.
• Proficiency in Python and ML frameworks (PyTorch or TensorFlow).
• Understanding of physiology underlying signals.
• Experience shipping ML models to production.
• Advanced degree in a related field.

Responsibilities

• Take ownership of the ML/algorithm development pipeline from signal processing to deployment.
• Develop and deploy advanced ML algorithms with deep learning architectures and classical signal processing.
• Design fusion methods for multi-sensor time-series data to extract physiological metrics.
• Work with cloud datasets and prototype sensors to validate models in real-world settings.
• Collaborate with hardware, firmware, software, and data-infra teams to align goals.
• Translate technical results for senior stakeholders and guide research direction.

Skills

Machine learning

Biosignal processing

Sensor fusion

Time-series data analysis

Python

PyTorch

TensorFlow

NumPy

SciPy

pandas

matplotlib

Physiology understanding

Scalable data systems

Education

Master’s or PhD in CS/ML/Bioengineering

Tools

Python

PyTorch

TensorFlow

NumPy

SciPy

pandas

matplotlib

Job description

Our mission at the company is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their the company Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

We are seeking a Senior ML Algorithm Scientist to join our Future Physiology team. This is a high-impact opportunity for a deeply technical, hands-on expert who thrives in fusing physiology, machine learning, and real-world biosignal R&D. You will play a pivotal role in advancing the company’s next generation of features, turning noisy, multimodal data from sensors (like PPG, motion, and temperature) into reliable, scalable, and productizable health metrics that reach millions of users.

What You Will Do:

• Take responsibility for the entire ML and algorithm development pipeline, from signal processing to training, evaluating, and scaling robust models.

• Develop and deploy advanced ML algorithms leveraging deep learning architectures (e.g., Transformers, RNNs, probabilistic models) alongside classical signal processing to derive meaningful health insights across diverse populations.

• Design robust methods for fusing time-series data from multiple sensors (e.g., PPG, motion, temperature, spectroscopy) to extract reliable physiological metrics while managing everyday issues like motion artifacts.

• Leverage the company’s large-scale cloud datasets to refine models, while also working hands-on with prototype sensors and evaluation kits to see how new hardware performs in the real world.

• Work directly with hardware, firmware, software, and data infrastructure teams to align on feature goals, ensure technical feasibility within the ring's physical limits, and smoothly integrate algorithms.

• Translate complex technical concepts and your technical results into clear narratives for senior stakeholders, helping to guide our future research direction and roadmap alignment.

This is a role in London, UK. Travelling to US and Finland might be required.

What you'll bring:

• 5–7+ years of experience in machine learning, biosignal processing, sensor fusion, and analyzing real-world, multimodal time-series data.

• Deep proficiency in Python, practical experience with tools like PyTorch or TensorFlow, and scientific computing libraries (NumPy, SciPy, pandas, matplotlib).

• A strong understanding of the physiology underlying the signals. You need to know what the data actually represents physically, combined with the engineering intuition to solve complex, noisy problems.

• Familiarity with scalable data systems and a track record of getting ML models out of the lab and into production.

• An advanced degree (Master’s or PhD) in Computer Science, Machine Learning, Biomedical Engineering, Signal Processing, Applied Math, or a related field (or equivalent practical experience).

• Comfortable navigating uncertainty and fast-paced iteration, taking complete accountability for the algorithm journey from early feasibility testing to production-ready integration.

Nice to have:

• Direct experience working with consumer health products, wearable sensors, smart rings, or digital health applications.

Benefits:

At the company, we care about you and your well-being. Everyone here at the company has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

• Competitive salary

• An the company Ring of your own + employee discounts for friends & family

• Flexible working hours and remote working arrangements

• Amazing culture of collaborative and passionate coworkers

the company is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at the company are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.