Medicine and Pharmaceuticals
Machine Learning Engineer
Europe Fully Remote, Belgium100% remoteFreelanceasapDuration 6 months100% workload
Amazon Web ServicesAmazon Elastic Compute CloudAmazon S3ArchitectureAutomationContinuous IntegrationAmazon DynamoDBHealth CareScalabilityPython (Programming Language)Machine LearningObject-Oriented Software DevelopmentPharmaceuticalsFlask (Web Framework)FastapiContainerizationMachine Learning OperationsApi DesignApi GatewayDocker
Description
? **Hiring: Machine Learning Engineer (Contract | Remote in Europe)** ?
I’m currently supporting a client in the healthcare technology space who is looking for an experienced **Machine Learning Engineer** to join their team.
This is a **6-month contract (with possible extension)**, fully remote across Europe, starting **ASAP**.
The role goes beyond model deployment—you’ll be building **production-grade ML solutions**, shaping **architecture**, and driving **MLOps best practices** to ensure scalability, monitoring, and automation.
? **Key must-haves:**
* Strong **Python** (production-grade, OOP).
* **AWS SageMaker & ECS** for secure ML deployment.
* **MLOps expertise**: CI/CD pipelines, drift detection, monitoring, automation.
* API development (**Flask/FastAPI**).
* Independent, product-driven mindset with strong communication skills.
? **Nice-to-haves:**
* Broader AWS services (S3, EC2, API Gateway, DynamoDB).
* Docker / containerization.
* Advanced ML techniques.
* Healthcare or pharma knowledge (bonus, not required).
? **Contract details:**
* Duration: 6 months (extendable)
* Location: Fully remote (Europe)
* Start: ASAP
If you’re a **hands-on ML Engineer** who thrives on building, scaling, and improving systems—not just deploying models—this could be a fantastic opportunity.
? Interested? Drop me a message or comment below and I’ll share more details.
I’m currently supporting a client in the healthcare technology space who is looking for an experienced **Machine Learning Engineer** to join their team.
This is a **6-month contract (with possible extension)**, fully remote across Europe, starting **ASAP**.
The role goes beyond model deployment—you’ll be building **production-grade ML solutions**, shaping **architecture**, and driving **MLOps best practices** to ensure scalability, monitoring, and automation.
? **Key must-haves:**
* Strong **Python** (production-grade, OOP).
* **AWS SageMaker & ECS** for secure ML deployment.
* **MLOps expertise**: CI/CD pipelines, drift detection, monitoring, automation.
* API development (**Flask/FastAPI**).
* Independent, product-driven mindset with strong communication skills.
? **Nice-to-haves:**
* Broader AWS services (S3, EC2, API Gateway, DynamoDB).
* Docker / containerization.
* Advanced ML techniques.
* Healthcare or pharma knowledge (bonus, not required).
? **Contract details:**
* Duration: 6 months (extendable)
* Location: Fully remote (Europe)
* Start: ASAP
If you’re a **hands-on ML Engineer** who thrives on building, scaling, and improving systems—not just deploying models—this could be a fantastic opportunity.
? Interested? Drop me a message or comment below and I’ll share more details.