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
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:
- Full remote work;
- Competitive compensation with a service contract;
- Transparent performance reviews twice a year, with bonus opportunities and salary adjustments;
- An annual allowance that you can use for home office improvements, sports activities, equipment upgrades, and more—tailor it to what benefits you most;
- Investment in your development: paid language courses, access to various learning platforms, and a mindfulness benefit, including psychological support with 50% coverage;
- Career growth in a fast-scaling project with opportunities to influence technical decisions;
- A culture of recognition: our peer reward program celebrates contributions from across the team.
Temporary Remote (future relocation to Limassol)