Senior ML Engineer

DeepCamp; Amsterdam; Hybrid; EUR 85,000 - 120,000; Full time

Benefits offered by this job

Hybrid working policy

Salary and benefits package

Team events and off-sites

Unlimited skin checks for you

Job summary

SkinVision is seeking a Senior ML Engineer based in Amsterdam to own and drive the full ML lifecycle for our medical AI models. You will design, train, and deploy models with state-of-the-art techniques, mentor teammates, and align ML work with medical device standards.

Experience deploying in production and collaborating with stakeholders is essential. The role emphasizes developing robust ML pipelines in the cloud, working in a regulated environment, and contributing to the ML roadmap within a

Qualifications

• 8-10 years of proven professional experience as a Machine Learning Engineer or similar role.
• Experience deploying ML models to production in a consumer product, preferably in a regulated environment.
• Hands-on experience with MLOps for scalable training, deployment and monitoring.
• Strong ability to translate user needs and requirements into technical plans.
• Excellent communication and presentation skills, with ability to explain technical concepts to diverse audiences.

Responsibilities

• Drive the full ML model development lifecycle from problem definition to deployment and monitoring.
• Create data collection requirements for both new and existing models.
• Develop and improve ML training pipelines in the cloud (AWS or similar).
• Involve stakeholders throughout development and deployment lifecycle.

Skills

Model training

MLOps

Data analysis

Stakeholder management

Team mentoring

Deep learning architectures

Python

Communication skills

Education

Bachelor's or Master's in Data Science/Computer Science/related field

Tools

Apache Airflow

dbt

AWS

Python

Job description

SkinVision# Senior ML EngineerAmsterdam, Noord-Holland, Netherlands · REMOTESign in to applyFree account · 30 seconds## About the roleFor this role, we will only consider candidates who are currently based in the Netherlands. About SkinVision Skin cancer is highly treatable when caught early, but limited access to specialist care and long wait times delay diagnosis, increasing the risk of late-stage cases and driving up treatment costs. SkinVision, founded in Amsterdam in 2012, exists to close that gap. Our proprietary AI — certified as a Class IIa medical device under EU regulation, with over 90% sensitivity and 89% specificity — has already helped over 3 million people worldwide. Today, SkinVision has a database of more than 6 million skin cancer images and can reach 20 million people through insurer partnerships. Where needed, cases are reviewed by a team of dermatologists, who support users in taking the right next step — from urgent care to a specialist referral. We are extending this further, connecting users faster to the specialist care they need. We're a focused, international team, active globally, united by one goal: making early detection accessible to everyone, everywhere. If you join us, you're not just building a product — you're helping close the gap between a person noticing something and getting the care they need. Senior Machine Learning Engineer at SkinVision We're on the lookout for a Senior Machine Learning Engineer based in our Amsterdam office with the right skills and### experienceto ensure the Machine Learning team releases models with exceptional performance making use of state-of-the-art techniques. Not only are ML models vital to our product and hence for our end users, e.g., enabling early detection of skin cancer, they also enable our internal team to perform optimally. The ideal candidate possesses strong expertise in training new and optimizing existing Machine Learning and computer vision models (Python), has hands-on### experiencein MLOps and deploying models to production (preferably in AWS) and is able to gather### requirementsand communicate results to the stakeholders directly involved in the model development and deployment. Moreover, in this senior role, it is vital that you can mentor other team members, own the technical processes and actively contribute to the ML roadmap. Knowledge of data orchestration tools (Apache Airflow), data modeling (dbt) and working in a regulated and/or medical environment are a plus!### What you will doDrive the full ML model development lifecycle: from understanding and co-defining the problem to providing inputs on data collection, assessing the quality of data, model training, validation, deployment and monitoring. Create### requirementsfor data collection for both new and existing models. This includes data for model training and testing. Develop and improve efficient ML training pipelines in the cloud (AWS or similar). Involve stakeholders appropriately during the entire development, deployment and monitoring lifecycle. Scale the ML environment and processes to multiple models being developed and deployed simultaneously. Ensure ML development aligns with medical device standards if applicable, including ML best practices, experiment tracking, traceability, data lineage and documentation. Support and mentor team members. Showcase ML models and capabilities both internally and externally, by giving presentations, workshops, training, etc. Stay abreast of the latest industry standards, best practices and emerging trends in Machine Learning and AI and share insights with the broader team. Your profile 8-10 years of proven professional### experienceas a Machine Learning Engineer or similar role, showcasing exceptional proficiency in model training, deployment within a consumer product, data analysis, stakeholder management and teamwork/mentoring. Bachelor's or Master's degree in Data Science, Econometrics, Statistics, Computer Science or a related field. Skills Ability to translate user needs and### requirementsinto technical### requirementsand a development plan. Hands-on expertise with modern deep learning architectures and other ML architectures, ideally but not restricted to image data. Hands-on### experiencewith MLOps practices for scalable training, deployment and monitoring.### Experiencein developing and deploying ML models for a consumer product (mature development processes), ideally in the healthcare space or a regulated environment. Ability to iterate quickly from ideas to experiments, learning from results and making data-driven decisions. Strong analytical mindset, problem-solving skills and the ability to extract actionable insights from intricate datasets. Excellent communication and presentation skills, with the capacity to effectively convey technical concepts to diverse audiences. Proven ability to thrive in a collaborative, cross-functional team environment, managing multiple priorities and deadlines.### Experiencewith mentoring and leading team members. What we offer you A competitive### salary, additional### benefits, and a hybrid working policy A vibrant, dynamic, and rapidly growing scale-up in Amsterdam An enthusiastic, professional, and international team Regular team events, including off-sites and fun activities Unlimited skin checks for you Find Jobs in Netherlands on Arbeitnow