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ML Lead (Engineering)

Mayflower - Limassol, Lemesos, Cyprus

Posted May 6, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
Offered From the posting source checked Jun 20, 2026
Childcare support
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Learning budget
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Verification
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Salary
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Application

Cover letter
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Assessment
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Deadline
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Where they hire

State eligibility is not yet verified.

About this role

ML Lead (Engineering) Limassol, Lemesos, Cyprus Mayflower is a technology company that alters the entertainment industry to a new level of perception and engagement. We are looking for a Machine Learning Lead (Engineering) focused on building and delivering production-grade ML-powered applications . This role is not about research or experimentation. You will be responsible for turning ML models into reliable, scalable, user-facing services . You will work at the intersection of machine learning and backend engineering , owning the full lifecycle of ML-powered features - from integration to deployment and operation in production. Job Responsibilities - Design and build production ML services (APIs, microservices, real-time systems) - Integrate ML models into user-facing applications - Ensure reliability, scalability, and performance of ML-powered systems - Define and implement best practices for serving, versioning, and monitoring models in production - Collaborate closely with: - ML engineers / data scientists (who develop models) - DevOps / MLOps team (who provide platform and infrastructure) - Own the delivery pipeline of ML features into production - Lead and mentor engineers working on ML-powered applications - Drive architectural decisions around low-latency and high-load systems - Identify bottlenecks between experimentation and production and eliminate them You'll thrive here if you have - 5+ years of experience in software engineering / ML engineering - Strong experience building production backend systems (Python preferred) - Hands-on experience deploying and serving ML models in production - Experience with API development (FastAPI, Flask, gRPC, etc.) - Understanding of system design, scalability, and high-load

Read the full description at mayflower.recruitee.com. FewerJobs shows a preview and links to the original posting.

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