Proximie
Senior Machine Learning Engineer
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Senior Machine Learning Engineer
Machine Learning Scientist, Proximie
About the Role
Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite enhances operating room (OR) performance, ensuring teams stay aligned and workflows run efficiently. Simultaneously, our computer vision and AI capabilities capture real-time data and detect surgical events—boosting the quality of insights and decision-making. This optimises OR efficiency, leveraging predictive analytics and automated alerts to guarantee the right people are in the right place at the right time.
Our Surgical Suite empowers real-time remote access and creates secure video records of every procedure, improving training, education, and collaboration. It fosters a culture of continuous learning, accelerates the adoption of advanced medical tools, and enhances surgical performance globally—ultimately saving lives.
Commercialised in 2019, Proximie operates in over 500 healthcare facilities worldwide.
Check out Nadine’s Origins Story here.
Responsibilities
- Collaborate with product, engineering, and commercial teams to develop and deploy AI models for real-world OR applications across hospitals globally.
- Design, train, and validate machine learning and multi-modal models using cutting-edge techniques.
- Develop scalable and robust solutions to handle the heterogeneity of OR environments (global variation in workflows, equipment, and operating conditions).
- Own the full model lifecycle—from data curation to deployment, monitoring, and maintenance, ensuring continuous operational effectiveness.
- Engineer dynamic model training pipelines and performance evaluation frameworks tailored to Proximie’s data lakes.
- Document solutions and contribute to internal knowledge-sharing while building team capabilities.
- Contribute to practical AI solutions that improve clinical outcomes, drive productivity, and enhance data-driven healthcare decisions.
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Requirements
- PhD in machine learning, computer science, data science, engineering, or a related field (Masters may be considered but PhD preferred).
- Minimum 4 years’ industry experience developing and deploying AI solutions to solve real-world challenges.
- Expertise in multi-modal machine learning (audio, vision, and language), with a strong preference for experience in heterogeneous data distributions.
- Deep knowledge of traditional ML, deep learning, and generative AI (supervised, self-supervised, and unsupervised learning), with a focus on computer vision applications.
- Proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch).
- Strong Python skills and a robust software development background.
- AWS experience is highly desirable.
- MLOps experience is a plus, including model versioning, deployment, and monitoring.
- Ability to effective technical communication, translating complex AI concepts for non-technical stakeholders.
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Interested? If you’re passionate about tackling high-impact problems and shaping technology in critical healthcare environments, we’d love to hear from you.
Why Work for Proximie?
Culture & Growth
- Take ownership and grow in your role—Proximie’s guiding values: Ownership, Deliver Results, Build Trust, and Go Beyond.
- Flat organisational structure where every voice matters—innovation and collaboration are encouraged.
Work-Life Balance
- Generous annual leave.
- Two well-being days per year plus the option to take the day off on your birthday.
- "Summer Fridays"—early office closures during summer months.
Competitive Benefits
- Annual bonus programme based on individual contributions.
- £1,000 annual professional development stipend for training and growth.
Global Opportunities
- Flexible working hours—trust-based and results-focused.
- Global presence across the UK, Europe, United States, and Middle East, with opportunities for international travel.
Commitment to Diversity & Inclusion
- Proximie is an equal opportunity employer. We foster an inclusive work environment that respects and celebrates all individuals, regardless of race, religion, gender, disability, veteran status, or any other protected characteristic.
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