AI/ML Engineer (all)
XO Life — Digital patient support platform
About the role
We seek an experienced AI/ML Engineer to drive innovation in artificial intelligence and machine learning, combining research with practical implementation. You'll design and deploy ML models, analyze data, and collaborate with cross-functional teams to deliver impactful solutions. Machine Learning Model Development Analyze, visualize, and ensure the quality of healthcare data to extract actionable insights
Design, prototype, and deploy ML models and algorithms in collaboration with data scientists and engineers
ML Infrastructure & Operations Ensure robust data workflows and support MLOps best practices
Develop and maintain scalable ML pipelines and microservices, including automation of deployment, monitoring, and retraining
Collaboration & Leadership Work closely with product, engineering, and business teams to deliver impactful AI solutions
Present findings, lead cross-functional AI initiatives
Your Education & Experience PhD in Computer Science, Machine Learning/AI, Statistics, or related fields, OR Master’s with 5+ years relevant experience
Strong foundation in mathematics, statistics, and algorithms
Technical Skills Programming: Python, JavaScript/TypeScript
ML/AI: Vertex AI, LangGraph, TensorFlow, PyTorch, Scikit-learn, Keras
Cloud: AWS, GCP
Data: Snowflake, Apache Superset, MongoDB, Pandas, NumPy, Jupyter
MLOps: Docker, Kubernetes, CI/CD, MLflow, Weights & Biases
Domain Expertise ML algorithms (supervised, unsupervised, reinforcement learning)
Deep learning (CNNs, RNNs, Transformers)
Statistical methods, experimental design
Big data frameworks (Spark, Dask)
Soft Skills Analytical and problem-solving abilities
Excellent English communication
Independent, organized, collaborative
Preferred Qualifications Distributed/parallel computing
Software engineering best practices
A/B testing, experimentation frameworks
Edge computing, model optimization
Please note: you must have the legal right to live and work in the European Union (EU). Applications from candidates residing outside the EU cannot be considered. Top Tech company in Digital Health: Work in a fast-growing, innovative environment where your impact is visible.
True impact in healthcare: Contribute to a unique platform with the potential to improve health for millions.
International team: Join colleagues from 14+ nationalities, united by a shared vision.
100% remote with best IT equipment: Enjoy full remote work, regular team events, and top-notch equipment.
Initial Screening: Technical phone/video introductory and experience call.
Leadership Interview: Discussion focused on leadership principles, values, and cultural fit.
Technical Deep Dive: In-depth discussion of applied ML/AI topics, including live coding and system design.
What the index says about this role
- First seen by JobLarper — Aug 2, 2026, 6 days ago. Older postings collect hundreds of applicants — a tailored résumé matters more the longer a role has been live.
- What Machine Learning Engineer roles ask for — across 1,108 indexed openings: ML (78%), AI/LLM (55%), Python (53%), REST/APIs (38%), Cloud (25%). This posting names ML, Python, REST/APIs, Cloud.
- XO Life is hiring actively — 4 open roles indexed.
Derived from the 27,000 roles JobLarper indexes daily from official company boards — not from the job description above.
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