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Machine Learning Engineer

Limassol, Cyprus💼 Full-time🗓 2026-06-22 → 2026-07-28

Core

Develop and deploy machine learning models for trader profiling and other business applications within a fintech environment.

Role type

Machine Learning Engineer

Builds

Production ML models for trader profiling and business applications

Domain

Fintech / Financial Services

Deliverable

production ML models

Required skills

Python, pandas, NumPy, Scikit-Learn, SQL, MLOps tools (Airflow, MLflow, DVC), containerization (Docker), orchestration (Kubernetes), cloud platforms (Azure, AWS, GCP), version control (Git), CI/CD (Jenkins), statistical modeling, feature engineering, model monitoring

Preferred skills

Experience with model retraining, cross-functional collaboration, staying current with ML research

Technologies

Python, pandas, NumPy, Scikit-Learn, Airflow, MLflow, DVC, Docker, Kubernetes, SQL, Prometheus, Grafana, Azure, AWS, GCP, Git, Jenkins

Responsibilities

Develop and deploy machine learning models for trader profiling and other business applications; Collect, clean, and preprocess large datasets, applying feature engineering and transformation techniques; Monitor model performance in production and retrain models as needed; Integrate models into operational systems, ensuring scalability, security, and optimal performance; Collaborate with cross-functional teams to align model development with business needs; Continuously optimize models and stay current with the latest advancements in ML research

Seniority

Mid-Senior (3+ years experience)

Rewrite
## About the role Join FxPro : a leading international fintech company. Be a part of our expanding international team, with offices in Limassol, London, Nassau, Dubai, and Yerevan. FxPro boasts a diverse workforce of over 600 employees representing 50 nationalities, making it an exciting and dynamic workplace. At FxPro , we see each team member as an integral part of our success story. As a Machine Learning Engineer you will develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts. ## Responsibilities - Develop and deploy machine learning models for trader profiling and other business applications - Collect, clean, and preprocess large datasets, applying feature engineering and transformation techniques - Monitor model performance in production and retrain models as needed - Integrate models into operational systems, ensuring scalability, security, and optimal performance - Collaborate with cross-functional teams to align model development with business needs - Continuously optimize models and stay current with the latest advancements in ML research ## Requirements - Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field, or equivalent practical experience - 3+ years of experience in machine learning, with a proven track record of developing and deploying models in production - Strong understanding of mathematical statistics and probability theory - Proficiency in Python and machine learning libraries (e.g., pandas, NumPy, Scikit-Learn) - Solid understanding of machine learning algorithms (e.g., regression, classification, clustering) - Familiarity with MLOps tools (e.g., Airflow, MLflow, DVC), containerization (e.g., Docker), and orchestration (e.g., Kubernetes) - Experience with SQL, including complex queries, analytic functions, and querying large datasets. - Familiarity with model monitoring and logging tools (e.g., Prometheus, Grafana) - Knowledge of cloud platforms (Azure, AWS, GCP) - Experience with version control and CI/CD practices (e.g., Git, Jenkins) - Strong problem-solving and analytical skills - A self-driven attitude with a strong sense of ownership and the ability to work independently to solve problems and develop solutions - Excellent command of the English language, both written and verbal ## Interview steps - Recruiter screen (30 minutes) - Technical Interview (1 hour) - Test task - Technical Interview (1 hour) - Final Interview with manager (30 minutes) ## What we offer - Excellent compensation package - Medical insurance - Provident fund - In-house gym with a personal trainer - Free daily lunch catering, snacks, and beverages - Company discount card for various products & services - 21 days of annual leave and 10 days of sick leave annually - Shuttle bus service from Limassol - Birthday gift - Relocation bonus and visa/work permit support ## About the company FxPro is a leading international fintech company with offices in Limassol, London, Nassau, Dubai, and Yerevan. The company boasts a diverse workforce of over 600 employees representing 50 nationalities.
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