Home › Companies › Fxpro › Machine Learning Engineer
Machine Learning Engineer
Fxpro · Cyprus, Ypsonas, 4180, Greece · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Fxpro |
| Title | Machine Learning Engineer |
| Normalized title | - |
| Department / team | Analytics |
| Location | Cyprus, Ypsonas |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-05 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fxpro. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Cyprus. | Open |
| Department jobs | Active postings in Analytics. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fxpro |
| Source | aa6dc35d-c92e-47d9-8e89-28939881cd87 |
| ATS provider | BambooHR |
Description
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)
Our benefits
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 a nnual leave and 10 days of sick leave annually
Shuttle bus service from Limassol
Birthday gift
Relocation bonus and visa/work permit support
Full job record
| Job ID | a3efc9181ab68a472869267437b0d5aeecaa5ff1 |
| Org ID | 0e10463c-8b42-460d-8049-ce3ac880f0a4 |
| Source ID | aa6dc35d-c92e-47d9-8e89-28939881cd87 |
| Board ID | aa6dc35d-c92e-47d9-8e89-28939881cd87 |
| Provider | bamboohr |
| Provider Job Key | 804 |
| Title | Machine Learning Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Cyprus, Ypsonas, 4180, Greece |
| Department | Analytics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | Ypsonas |
| City | Cyprus |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fxpro.bamboohr.com/careers/804 |
| Apply URL | https://fxpro.bamboohr.com/careers/804 |
| First Seen At | 2026-05-30 06:01:24Z |
| Last Seen At | 2026-06-06 10:32:20Z |
| Last Checked At | 2026-06-06 10:32:20Z |
| Last Changed At | 2026-05-30 06:01:24Z |
| Inactive At | — |
| Source Posted At | 2026-05-05 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=fxpro/date=2026-06-06/2026-06-06T10-32-16-489Z-5ea02bccbe1471d45e169a6c9e984ef6f806a9ed9fa77ff6a1852e32d4952172.json |
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"description": "<p><span style=\"font-size: 12pt\"><span style=\"color: rgb(34, 34, 34); font-size: 12pt; font-weight: bold\">Join FxPro</span><span style=\"color: rgb(34, 34, 34); font-size: 12pt\">: 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<span> </span></span><span style=\"color: rgb(34, 34, 34); font-size: 12pt; font-weight: bold\">FxPro</span><span style=\"color: rgb(34, 34, 34); font-size: 12pt\">, we see each team member as an integral part of our success story.</span></span><br></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\">As a <span style=\"font-weight: bold\">Machine Learning Engineer</span> you will develop new ML models and collaborate with the Dealing, Business Analysts and our BI Experts. </span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Responsibilities:</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Develop and deploy machine learning models for trader profiling and other business applications</span></li>\n<li><span style=\"font-size: 12pt\">Collect, clean, and preprocess large datasets, applying feature engineering and transformation techniques</span></li>\n<li><span style=\"font-size: 12pt\">Monitor model performance in production and retrain models as needed</span></li>\n<li><span style=\"font-size: 12pt\">Integrate models into operational systems, ensuring scalability, security, and optimal performance</span></li>\n<li><span style=\"font-size: 12pt\">Collaborate with cross-functional teams to align model development with business needs</span></li>\n<li><span style=\"font-size: 12pt\">Continuously optimize models and stay current with the latest advancements in ML research</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 12pt; font-weight: bold\">Requirements:</span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or a related field, or equivalent practical experience</span></li>\n<li><span style=\"font-size: 12pt\">3+ years of experience in machine learning, with a proven track record of developing and deploying models in production</span></li>\n<li><span style=\"font-size: 12pt\">Strong understanding of mathematical statistics and probability theory</span></li>\n<li><span style=\"font-size: 12pt\">Proficiency in Python and machine learning libraries (e.g., pandas, NumPy, Scikit-Learn)</span></li>\n<li><span style=\"font-size: 12pt\">Solid understanding of machine learning algorithms (e.g., regression, classification, clustering)</span></li>\n<li><span style=\"font-size: 12pt\">Familiarity with MLOps tools (e.g., Airflow, MLflow, DVC), containerization (e.g., Docker), and orchestration (e.g., Kubernetes)</span></li>\n<li><span style=\"font-size: 12pt\">Experience with SQL, including complex queries, analytic functions, and querying large datasets.</span></li>\n<li><span style=\"font-size: 12pt\">Familiarity with model monitoring and logging tools (e.g., Prometheus, Grafana)</span></li>\n<li><span style=\"font-size: 12pt\">Knowledge of cloud platforms (Azure, AWS, GCP)</span></li>\n<li><span style=\"font-size: 12pt\">Experience with version control and CI/CD practices (e.g., Git, Jenkins)</span></li>\n<li><span style=\"font-size: 12pt\">Strong problem-solving and analytical skills</span></li>\n<li><span style=\"font-size: 12pt\">A self-driven attitude with a strong sense of ownership and the ability to work independently to solve problems and develop solutions</span></li>\n<li><span style=\"font-size: 12pt\">Excellent command of the English language, both written and verbal</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"color: rgb(34, 34, 34); font-family: Arial, sans-serif; font-size: 12pt; font-weight: bold\">Interview steps</span></p>\n<p><br></p>\n<ol>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: Arial, sans-serif; font-weight: bold\">Recruiter screen<span> </span></span><span style=\"font-family: Arial, sans-serif\">(30 minutes) </span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: Arial, sans-serif; font-weight: bold\">Technical Interview<span> </span></span><span style=\"font-family: Arial, sans-serif\">(1 hour)</span></span></li>\n<li><span style=\"font-size: 12pt; font-weight: bold\"><span style=\"font-family: Arial, sans-serif\">Test task</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: Arial, sans-serif\"><span style=\"font-weight: bold\">Technical Interview </span>(1 hour)</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: Arial, sans-serif; font-weight: bold\">Final Interview</span><span style=\"font-family: Arial, sans-serif\"><span> </span>with manager (30 minutes) </span></span></li>\n</ol>\n<p><br></p>\n<p><span style=\"font-weight: bold\">Our benefits<br><br></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Excellent compensation package</span></li>\n<li><span style=\"font-size: 12pt\">Medical insurance</span></li>\n<li><span style=\"font-size: 12pt\">Provident fund</span></li>\n<li><span style=\"font-size: 12pt\">In-house gym with a personal trainer</span></li>\n<li><span style=\"font-size: 12pt\">Free daily lunch catering, snacks, and beverages</span></li>\n<li><span style=\"font-size: 12pt\">Company discount card for various products & services</span></li>\n<li><span style=\"font-size: 12pt\">21 days of a<span style=\"font-family: Inter, sans-serif\">nnual leave and 10 days of sick leave annually</span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; 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