Machine Learning Engineer
About this role
About Us
Syntio is a premium data engineering consultancy recognized for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.
Our expertise spans all three major public cloud providers—AWS, GCP, and Azure. By leveraging managed services and open-source solutions, we design optimal architectures for data platforms that meet the unique needs of our clients.
Innovation is at the core of what we do. Our dedicated R&D department ensures that we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.
Job Description
We are looking for an experienced ML Engineer to join our team! This is a hands-on technical role where you'll build machine learning solutions from prototype to production while ensuring best practices in software engineering, scalability, and deployment.
Beyond coding, we’d love to find someone who enjoys leading projects and engaging with clients—building trust, understanding their challenges, and finding creative ML-driven solutions. If you’re someone who enjoys solving real-world problems with AI & Cloud, this is the role for you!
Key Responsibilities
- Translating Business Needs – Understanding real-world problems and designing ML solutions to tackle them.
- Machine Learning & AI – Running experiments, training models, and leveraging generative AI for innovative solutions.
- Optimisation & Scalability – Ensuring performance, efficiency, and reliability of ML solutions.
- Data Engineering & MLOps – Managing data pipelines, automating ML workflows, and designing scalable architectures.
- Cloud & Deployment – Deploying ML models using Google Cloud, AWS, or Azure, ensuring they integrate smoothly into production.
- Custom Code & Engineering – Writing clean, production-ready Python code, following best CI/CD practices.
Basic Qualifications
- 1-3 years of experience as an ML Engineer
- 5+ years of experience
- Strong Python skills for backend development
- Experience working with cloud platforms (Google Cloud, AWS, or Azure)
- Hands-on software engineering experience
- Solid understanding of SQL for data management
- Familiarity with ML deployment & web service integration (e.g., FastAPI)
Bonus Skills
- A background in consulting or experience engaging with clients
- Strong communication & presentation skills
- Experience with GPUs, distributed computing
- Experience with Infrastructure as Code (Terraform, Pulumi)
- Machine Learning certifications
Why Join Us?
- Engage in diverse and exciting projects
- Opportunities for continuous learning and growth
- Certification plans and Syntio's extensive library
- Attractive salary and benefits
- You will be encouraged to bring fresh ideas to the table and experiment daily
- Take part in activities organized by the Syntio Sports and Social Club
- The Power Business School
Frequently Asked Questions
Is the salary disclosed for the Machine Learning Engineer position at syntio?
Where is the Machine Learning Engineer position at syntio located?
Is the Machine Learning Engineer role at syntio full-time or part-time?
Which team or department does the Machine Learning Engineer at syntio belong to?
How do I apply for the Machine Learning Engineer position at syntio?
When was the Machine Learning Engineer job at syntio posted?
You'll be redirected to syntio's official application page on bamboohr.