Machine Learning Engineer – Mission-Critical Healthcare AI

Contract Type: Permanent Employment

Location: Poland (candidates must be residents with full right to work)

The Opportunity

I am recruiting for a healthcare technology organisation building mission-critical AI solutions that directly support patient care, clinical decision-making, diagnostics, and regulated medical workflows. Their systems must be accurate, explainable, resilient, and privacy-preserving by design.

I am looking for a Machine Learning Engineer who thrives at the intersection of applied machine learning, production engineering, and healthcare constraints. This role is for someone who wants to move beyond prototypes and contribute to AI systems that are trusted, deployed, and relied upon in real clinical and operational environments.

What You’ll Be Responsible For

• Designing, building, and operating end-to-end ML and GenAI systems used in mission-critical healthcare contexts
• Implementing automated MLOps pipelines for data processing, training, evaluation, deployment, monitoring, and controlled model updates
• Developing and deploying LLM and agentic AI solutions for healthcare use cases such as data intake, clinical support, diagnostics, or operational optimisation
• Designing scalable and resilient inference architectures, including cloud, hybrid, and on-device deployments where privacy, latency, or reliability are paramount
• Ensuring data privacy, security, and regulatory compliance (e.g. GDPR, HIPAA) are embedded into system design from day one
• Working closely with clinicians, domain experts, data scientists, and platform teams to translate healthcare needs and regulatory requirements into robust technical solutions
• Contributing to shared libraries, architectural standards, and engineering best practices to improve system reliability, auditability, and team effectiveness

Required Skills & Experience

• Degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
• Strong experience across the full ML model lifecycle, from experimentation to production deployment in real-world systems
• Proficiency in Python and experience with ML frameworks such as PyTorch or scikit-learn
• Hands-on experience with containerised deployments using Docker and Kubernetes
• Experience working with at least one major cloud platform (AWS, GCP, or Azure)
• Strong software engineering fundamentals, including Git, testing, CI/CD, observability, and maintainable system design
• Ability to operate effectively in cross-functional, interdisciplinary teams and communicate clearly with both technical and non-technical stakeholders
• Experience building or deploying AI systems in healthcare, life sciences, or other regulated industries
• Hands-on experience with LLMs or small language models, including fine-tuning, inference optimisation, or retrieval-augmented generation (RAG)
• Familiarity with privacy-preserving ML techniques such as on-device inference, federated learning, or secure model serving
• Experience designing high-availability, fault-tolerant AI systems where reliability and safety are critical
• Interest in or experience mentoring engineers and contributing to technical standards
• Must be a resident in Poland