Staff ML Engineer (Europe-based/Remote)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff ML Engineer in Europe.

This role offers a unique opportunity to drive cutting-edge machine learning initiatives in a high-impact healthcare environment. You will own complex ML problems end-to-end, including fine-tuning and deploying large language models to optimize clinical outcomes. Working closely with cross-functional teams, you will influence technical strategy, shape AI system design, and implement rigorous evaluation frameworks. This position involves both hands-on engineering and mentoring responsibilities, guiding other engineers while setting high standards for production ML systems. Your work will directly impact patient care, making healthcare more accessible, efficient, and effective. The environment is fast-paced, innovative, and collaborative, providing space for technical leadership and creative problem-solving.

Accountabilities:

• Lead the development and deployment of ML and LLM solutions for clinical AI applications.
• Take ownership of complex ML problems from exploration to production deployment and real-world iteration.
• Design and implement model fine-tuning pipelines, preference optimization (RLHF, DPO), and evaluation frameworks.
• Collaborate with Product, Clinical, and Engineering teams to ensure ML solutions meet real-world clinical needs.
• Mentor engineers, establish best practices, and raise technical standards within the team.
• Provide technical direction on projects and support junior engineers in problem-solving and implementation.
• Work across the full AI stack, including data preparation, model training, deployment, and monitoring in production.

Requirements

• Extensive experience in production ML systems with a track record of solving complex technical problems.
• Hands-on experience fine-tuning, evaluating, and deploying large language models (LLMs) in production environments.
• Expertise in preference optimization techniques such as RLHF, DPO, or similar methods.
• Strong ML fundamentals and ability to design rigorous evaluation frameworks for specialized domains.
• Proficiency in engineering production-quality code and understanding of distributed ML systems.
• Excellent communication and collaboration skills to influence technical decisions across multi-disciplinary teams.
• End-to-end ownership of complex, ambiguous problems from exploration to production.
• Experience in healthcare AI or clinical applications is highly desirable.
• Contributions to the ML community (open source, publications, technical writing) are a plus.

Benefits

• Competitive salary and equity opportunities.
• Health, dental, and vision insurance.
• Flexible working hours and remote/hybrid options.
• Unlimited discretionary vacation and remote work allowances.
• Meal allowances, snacks, beverages, and English classes.
• Opportunity to work on innovative healthcare AI solutions impacting millions of patients.
• Stimulating, fast-paced, and collaborative environment encouraging creativity and career growth.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!