Job Title: Freelance Lead Machine Learning Engineer – Medical Devices
Location: Remote (with occasional travel as required)
Engagement Type: Freelance / Contract
About the Company
We are partnering with an innovative medical device company focused on developing next‑generation technologies that improve patient outcomes and advance clinical decision‑making. By combining cutting‑edge engineering with data‑driven insights, the company is transforming how medical devices are designed, validated, and deployed in healthcare environments.
Role Overview
We are seeking a highly experienced Lead Machine Learning Engineer to drive the development and deployment of advanced ML solutions within a medical device environment. This role will lead the design of scalable models, guide technical strategy, and ensure compliance with regulatory standards.
The adecuado candidate brings deep expertise in machine learning, a strong engineering mindset, and experience working within regulated industries such as medical devices or healthcare. You will play a critical role in shaping AI‑driven products from concept through to production.
Key Responsibilities Technical Leadership & Strategy
- Define and lead the machine learning strategy aligned with product and business objectives
- Architect scalable ML systems for integration into medical device platforms
- Provide technical leadership and mentorship to engineers and data scientists
- Establish best practices for model development, validation, and deployment
- Design, build, and optimise machine learning and deep learning models
- Work with structured and unstructured healthcare data (e.g., imaging, sensor, clinical data)
- Implement end‑to‑end ML pipelines, including data ingestion, preprocessing, training, and monitoring
- Ensure robust model performance, interpretability, and reliability in production environments
Regulatory & Quality Compliance
- Ensure ML systems comply with medical device regulations and standards (e.g., FDA, ISO 13485, IEC 62304)
- Support documentation, validation, and audit processes for regulatory submissions
- Collaborate with quality and regulatory teams to align development with compliance requirements
Cross‑Functional Collaboration
- Partner with product, clinical, and engineering teams to translate requirements into ML solutions
- Work closely with hardware and software teams to integrate models into devices
- Communicate technical concepts clearly to non‑technical stakeholders
- Stay current with advancements in AI/ML, particularly in healthcare and medical devices
- Identify opportunities to enhance product capabilities through AI‑driven features
- Drive experimentation and continuous improvement of models and processes
Qualifications Required
- Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Engineering, or a related field
- 8+ years of experience in machine learning engineering, with leadership responsibilities
- Proven experience developing and deploying ML models in production environments
- Strong programming skills (e.g., Python) and experience with ML frameworks (e.g., TensorFlow, PyTorch)
- Experience with data engineering and building scalable ML pipelines
- Familiarity with software engineering best practices (version control, CI/CD, testing)
Preferred
- Experience in medical devices, healthcare, or other regulated industries
- Knowledge of regulatory standards (FDA, ISO 13485, IEC 62304, GxP)
- Experience with medical imaging, signal processing, or real‑world clinical data
- Background in MLOps and cloud platforms (e.g., AWS, GCP, Azure)
- Strong leadership and decision‑making capabilities
- Excellent problem‑solving and analytical skills
- Ability to translate complex technical concepts into business value
- High level of ownership and accountability
- Strong communication and stakeholder management skillsDetail‑oriented with a focus on quality and compliance
- Freelance / contract engagement (initial term with potential extension)
- Fully remote with flexibility, occasional on‑site visits may be required
- Competitive daily or hourly rate, depending on experience
- Opportunity to work on cutting‑edge AI applications in healthcare and medical technology
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