ML Lead (Engineering)

Job Description

Mayflower is a technology company building high-load products used by millions of people worldwide. Operating at the scale of one of the world's top-50 websites, we solve complex engineering challenges and create solutions that power real-time entertainment for a global audience.

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.

Job Requirements

• 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 environments.
• Experience working with ML pipelines and model lifecycle.
• Ability to bridge the gap between ML and engineering teams.
• Experience in a Lead or Senior role (mentoring, ownership, decision-making).

That can be a plus:

• Experience with real-time ML systems (recommendations, ranking, personalization).
• Experience in video streaming or high-throughput platforms.
• Familiarity with Kubernetes and cloud/on-prem environments.
• Experience with feature stores, model monitoring, A/B testing.
• Experience working alongside MLOps platforms (MLflow, Airflow, etc.).

Conditions

• We know that great talent deserves great conditions, so here's what you can expect when joining us:
• EU-based employment contract and a 3-year Cyprus work visa with full support for your relocation and visa processes, including assistance for your family.
• EU passport. Opportunity to obtain an EU passport after 4 years of residence.
• Full relocation package: flights to Limassol for you and your family, a company-covered apartment for the first month, and full relocation support to make your move smooth and hassle-free.
• Transparent performance reviews twice a year, with bonus opportunities and salary adjustments.
• Private medical insurance for you and your family.
• Corporate mobile plan (unlimited in Cyprus with roaming included).
• Mindfulness & well-being support, including psychological assistance with 50% coverage.
• 50% coverage of school and kindergarten fees for your children.
• Fully covered sports benefits, and also access to in-house electric scooters and bike rentals.
• Professional growth support: language courses, conferences, training programs, and coaching.
• Peer recognition program: receive and share kudos for great work.
• A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.
• Free breakfasts and lunches in the office and an in-house coffee bar with high-quality drinks and a health bar stocked with nutritious snacks.
• A strong engineering culture: international teams, corporate events, team buildings, and hackathons — because great work happens in great communities.