ML Lead (Engineering)

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.