AI Tech Lead – Europe

Virtusan

. Build the intelligence behind Virtusan’s health coach, turning biometric and behavioural signals into personalised programmes .

Posted 10/19/2026contractRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning and AI engineering, with a strong focus on Python, FastAPI, and MLOps on Azure. Capable of leading teams in developing and deploying AI solutions while ensuring privacy and security in handling health data.

Highest-signal resume keywords

Machine Learning EngineeringPython ProgrammingMLOps on AzureTechnical LeadershipPrivacy-Aware Data Handling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningRecommender SystemsTime Series AnalysisA/B TestingModel EvaluationProduction MonitoringStatistical AnalysisCausal MethodsReinforcement LearningLangGraph

Soft Skills

Technical AuthorityDocumentation SkillsCollaboration

Tools & Technologies

FastAPIAzure OpenAIAI Features PrototypingData Quality Architecture

Industry Keywords

Health DataWearable DataPrivacy ComplianceAI in Engineering Workflows

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Build the intelligence behind Virtusan’s health coach, turning biometric and behavioural signals into personalised programmes
Turn wearable and in-app data into recovery, stress and sleep insights using personal baselines and trend detection
Normalise metrics across device vendors, weight sources by reliability, and handle missing data and device switches
Personalise protocol sequences by dose and timing using classical machine learning, contextual bandits, sequential recommenders or reinforcement learning
Learn from user behaviour and biometric responses which protocols work and for whom
Define offline metrics, online experiments and production monitoring for every model and LLM feature
Own the AI platform roadmap, training and serving pipelines, data quality and architecture on the Python and Azure stack
Make and document key architecture and modelling decisions through RFCs, ADRs and similar documentation
Build privacy and secure handling of sensitive health data into the system design
Help product, design and marketing shape AI features and understand model capabilities and limitations
Prototype, evaluate and take code through to production
Serve as the technical authority for AI across engineering and set standards for the team

Requirements

What you’ll need

6+ years in ML/AI engineering
2+ years in a lead role
At least one product taken from zero to production
Python, FastAPI and production MLOps on Azure or another major cloud
Experience with time series, recommender systems, causal/uplift methods and strong statistics
A/B testing, model evaluation and production monitoring
LLMs and LangGraph or similar on Azure OpenAI, and knowing when not to use them
Experience as a tech lead or staff engineer making technical decisions followed by a team of engineers
Privacy-aware handling of health data
Based in Europe
Fluent in English
Nice to have: bandits, RL or off-policy evaluation
Nice to have: health or wearable data experience
Nice to have: literature mining
Nice to have: AI in engineering workflows, including coding agents, AI-assisted testing and CI
CV and answers to 2 of 3 application questions required

Benefits

Comp & perks

12-month contract
Freelancer / independent contractor engagement
42 hours/week
Remote work in the European Economic Area
Opportunity to build Virtusan’s AI platform and intelligence behind its health coach
Hands-on ownership of AI architecture, modelling, training and serving pipelines
Collaboration with product, design and marketing teams
Work on digital health, wearable and biometric data products