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HomeCompaniesFxproMachine Learning Engineer

Machine Learning Engineer

Fxpro · Cyprus, Ypsonas, 4180, Greece · Active · BambooHR

Job facts

FieldValue
CompanyFxpro
TitleMachine Learning Engineer
Normalized title-
Department / teamAnalytics
LocationCyprus, Ypsonas
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2026-05-05 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Fxpro.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Cyprus.Open
Department jobsActive postings in Analytics.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyFxpro
Sourceaa6dc35d-c92e-47d9-8e89-28939881cd87
ATS providerBambooHR

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 IDa3efc9181ab68a472869267437b0d5aeecaa5ff1
Org ID0e10463c-8b42-460d-8049-ce3ac880f0a4
Source IDaa6dc35d-c92e-47d9-8e89-28939881cd87
Board IDaa6dc35d-c92e-47d9-8e89-28939881cd87
Providerbamboohr
Provider Job Key804
TitleMachine Learning Engineer
Normalized Title
Statusactive
Activeyes
Location TextCyprus, Ypsonas, 4180, Greece
DepartmentAnalytics
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
RegionYpsonas
CityCyprus
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://fxpro.bamboohr.com/careers/804
Apply URLhttps://fxpro.bamboohr.com/careers/804
First Seen At2026-05-30 06:01:24Z
Last Seen At2026-06-06 10:32:20Z
Last Checked At2026-06-06 10:32:20Z
Last Changed At2026-05-30 06:01:24Z
Inactive At
Source Posted At2026-05-05 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=fxpro/date=2026-06-06/2026-06-06T10-32-16-489Z-5ea02bccbe1471d45e169a6c9e984ef6f806a9ed9fa77ff6a1852e32d4952172.json
Event Fields
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  "last_changed_at": "2026-05-30T06:01:24.262Z",
  "active_status": "active"
}
Parsed Structured
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Extensions
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Native Structured
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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 &amp; 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; font-size: 12pt\">Shuttle bus service from Limassol</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Birthday gift</span></li>\n<li><span style=\"color: rgb(34, 34, 34); font-family: Inter, sans-serif; font-size: 12pt\">Relocation bonus and visa/work permit support </span></li>\n</ul>",
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}
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