{"id":3414486,"url":"https://alion.io/job/skinvision-senior-ml-engineer","title":"Senior ML Engineer","company":{"id":54528,"name":"SkinVision","domain":"skinvision.com","url":"https://alion.io/company/skinvision","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Recruitee","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":145000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":23},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Computer Vision","optional":false},{"name":"dbt","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-10-28T16:39:15Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-02T16:36:06Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"For this role, we will only consider candidates who are currently based in the Netherlands.\nAbout SkinVision\nSkin 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.\nSenior Machine Learning Engineer at SkinVision\nWe're on the lookout for a Senior Machine Learning Engineer based in our Amsterdam office with the right skills and experience to 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 experience in MLOps and deploying models to production (preferably in AWS) and is able to gather requirements and 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!\nWhat you will do\nDrive 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.\n\nCreate requirements for data collection for both new and existing models. This includes data for model training and testing.\n\nDevelop and improve efficient ML training pipelines in the cloud (AWS or similar).\n\nInvolve stakeholders appropriately during the entire development, deployment and monitoring lifecycle.\n\nScale the ML environment and processes to multiple models being developed and deployed simultaneously.\n\nEnsure ML development aligns with medical device standards if applicable, including ML best practices, experiment tracking, traceability, data lineage and documentation.\n\nSupport and mentor team members.\n\nShowcase ML models and capabilities both internally and externally, by giving presentations, workshops, training, etc.\n\nStay abreast of the latest industry standards, best practices and emerging trends in Machine Learning and AI and share insights with the broader team.\n\nRequirements\nYour profile\n8-10 years of proven professional experience as 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.\n\nBachelor's or Master's degree in Data Science, Econometrics, Statistics, Computer Science or a related field.\n\nSkills\nAbility to translate user needs and requirements into technical requirements and a development plan.\n\nHands-on expertise with modern deep learning architectures and other ML architectures, ideally but not restricted to image data.\n\nHands-on experience with MLOps practices for scalable training, deployment and monitoring.\n\nExperience in developing and deploying ML models for a consumer product (mature development processes), ideally in the healthcare space or a regulated environment.\n\nAbility to iterate quickly from ideas to experiments, learning from results and making data-driven decisions.\n\nStrong analytical mindset, problem-solving skills and the ability to extract actionable insights from intricate datasets.\n\nExcellent communication and presentation skills, with the capacity to effectively convey technical concepts to diverse audiences.\n\nProven ability to thrive in a collaborative, cross-functional team environment, managing multiple priorities and deadlines.\n\nExperience with mentoring and leading team members.\n\nWhat we offer you\nA competitive salary, additional benefits, and a hybrid working policy\n\nA vibrant, dynamic, and rapidly growing scale-up in Amsterdam\n\nAn enthusiastic, professional, and international team\n\nRegular team events, including off-sites and fun activities\n\nUnlimited skin checks for you","description_format":"text","description_chars":5214,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Telemedicine & Virtual Care","Medical AI"],"lifecycle":[{"event":"open","at":"2026-10-28T18:52:41Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":30,"reasons":["conf:2","win:early"],"computed_at":"2026-11-02T06:13:15Z"},"pay":null,"html_url":"https://alion.io/job/skinvision-senior-ml-engineer","json_url":"https://alion.io/job/skinvision-senior-ml-engineer.json","meta":{"generated_at":"2026-11-02T18:56:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":26406,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-03T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":54528},"rest":"https://alion.io/mcp/rest/get_company?id=54528"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fskinvision-senior-ml-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fskinvision-senior-ml-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fskinvision-senior-ml-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/skinvision-senior-ml-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fskinvision-senior-ml-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3414486}},{"tool":"search_jobs","arguments":{"company":"skinvision.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3414486},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}