Data Science Lead – CV, ML

Neko Health

. Develop, verify, validate and deploy computer vision and ML algorithms for clinical decision support .

Posted 10/6/2026full-timeStockholm • SwedenSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and deploying computer vision and machine learning algorithms for clinical decision support, with a strong foundation in software engineering and collaboration in cross-functional teams. Proficient in evaluating algorithms and ensuring regulatory readiness while mentoring colleagues and fostering a culture of continuous improvement.

Highest-signal resume keywords

Computer VisionDeep LearningPython Software EngineeringMachine Learning FundamentalsCross-Functional Collaboration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DevelopmentDetectionSegmentationTracking3D PerceptionModel EvaluationProduction Code DeliveryTestingCode ReviewData Analysis

Soft Skills

Clear CommunicationMentoringCollaborationProblem-SolvingContinuous Improvement

Tools & Technologies

AI ToolsNeko Health Backend InfrastructureLarge-Scale Data PipelinesSensor FusionSLAM

Certifications & Qualifications

MSc in Computer VisionPhD in Machine LearningPhD in Computer SciencePhD in PhysicsPhD in Engineering

Industry Keywords

Clinical Decision SupportRegulatory ReadinessSafety-Critical SettingsLabel-Efficient LearningNon-RGB Imaging

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Develop, verify, validate and deploy computer vision and ML algorithms for clinical decision support
Contribute to new product features or research breakthroughs that improve member outcomes
Own problems end to end, from vague questions and messy real-world data through modelling and evaluation to production models
Collaborate with hardware engineers, software engineers, medical doctors, clinical researchers and data scientists
Combine classical, geometric and learned methods, including semi-, self- or weakly-supervised approaches where expert labels are scarce
Rigorously evaluate algorithms, analyse clinical study data and support regulatory readiness
Deliver production-quality code and integrate it into Neko Health's backend infrastructure
Use AI tools to improve productivity while retaining judgment and ownership
Mentor colleagues, review code and designs, and help build a culture of openness and continuous improvement

Requirements

What you’ll need

Extensive experience in modern computer vision and deep learning on real-world camera or sensor data, including detection, segmentation, tracking or 3D perception
Experience making algorithms work under messy real-world capture conditions, including lighting, motion, optics and calibration, and shipping them to production
Strong machine learning fundamentals and algorithmic thinking
Strong software engineering skills in Python, including production-level code, testing and code review
5+ years of relevant industry experience, or 2+ years post-PhD
Experience working in cross-functional R&D teams alongside hardware and software engineers
Clear communication skills, including explaining trade-offs to clinicians, engineers and managers
Confidence using the latest AI tooling developments to increase productivity and efficiency
MSc or PhD in Computer Vision, Machine Learning, Computer Science, Physics, Engineering or a related field
Motivation to apply strong science to improve preventative healthcare
Preferred: experience with multi-view geometry, matching across views and time, tracking, registration, calibration, SLAM or re-identification
Preferred: experience with 3D vision or reconstruction
Preferred: experience with label-efficient learning and large-scale data pipelines
Preferred: experience with sensor fusion, state estimation, filtering or non-RGB imaging such as thermal
Preferred: experience teaching or mentoring engineers or researchers
Preferred: exposure to safety-critical or regulated settings