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ML Engineer

Ref #: 57338
Brio Digital 16/02/2026
Location: FI Not Disclosed FI
Salary: £0 £
Type: Permanent
Date: 16/02/2026
ML Engineer

Machine Learning Engineer
Location: Helsinki, Finland (Hybrid)

An international technology company, headquartered in South America and expanding its presence in Finland, is building a new Machine Learning team in Helsinki. The company focuses on applying artificial intelligence to solve real-world problems, rapidly prototyping ideas and scaling them into robust, production-ready systems.

We are seeking an early-career Machine Learning Engineer with industry experience, a passion for rapid prototyping, and a strong understanding of scalability best practices. The team brings multidisciplinary expertise across industries and values curiosity, collaboration, and technical excellence. This is an opportunity to grow within a group of like-minded experts shaping how machine learning is practiced across the organization.


What You’ll Do

  • Collaborate with teammates and clients in brainstorming sessions, prototyping sprints, and project planning.

  • Manage the full lifecycle of machine learning models, including data preparation and analysis, training, deployment, monitoring, and error analysis.

  • Design scalable architectures to optimize models for performance, reliability, and cost-efficiency.

  • Stay up to date with the latest advancements in AI/ML and incorporate cutting-edge techniques and tools into projects.


What We’re Looking For

  • 2–4 years of experience in machine learning or a related field.

  • Strong scripting and rapid prototyping skills (Python preferred).

  • Familiarity with MLOps principles, including deployment, monitoring, and CI/CD practices.

  • Solid software engineering fundamentals (version control, testing, containerization).

  • Strong communication and teamwork skills.

  • Curiosity, initiative, and a strong desire to learn and grow.


What’s on Offer

  • Opportunities to grow into broader responsibilities while learning from experienced experts.

  • Exposure to dynamic, real-world projects across multiple industries.

  • A culture that values experimentation, technical excellence, and continuous learning.

  • The opportunity to influence tools, processes, and the overall ML mindset within the company.

  • A flexible remote/hybrid working model based in Helsinki.

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