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Mayflower logo

Backend Team Lead (ML)

Mayflower
Posted May 27, 2026, 8:04 PM UTC
📦Relocation support🛂Visa sponsorship
🇨🇾Cyprus
📁Data & Analytics
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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 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.

    • 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, a corporate mobile plan (unlimited in Cyprus with roaming included), and interest-free support for car purchases.

    • 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, and cycling purchase compensation.

    • Investment in your growth: paid language courses and access to suited-for-you development programs, including conferences, training programs, and coaching to support your professional journey.

    • A culture of recognition: a peer reward program to celebrate your contributions.

    • A fully equipped office in Limassol’s city center, with everything you need for deep work and collaboration.

    • Free catering 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.

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