Lead ML Engineer at Mayflower | chakrie

Requirements

Additional Requirements

5+ years of commercial experience in Machine Learning, Data Science, or ML Engineering.
Strong hands-on Python programming and software engineering skills.
Experience taking ML solutions from a product requirement through experimentation, implementation, integration, and production.
Strong understanding of machine learning methods, statistics, experimentation, and model evaluation.
Experience writing maintainable production code rather than working exclusively in notebooks.
Experience building APIs, services, batch processing, or data pipelines.
Strong SQL skills and experience working with large production datasets.
Practical experience with Docker and production deployment environments.
Ability to turn partially defined problems into concrete technical plans.
Ability to estimate work, identify dependencies and risks, and drive technical execution against a timeline.
Experience owning technical delivery involving several contributors and coordinating work across dependencies.
Experience reviewing code and technical approaches.
Ability to work effectively within established engineering and ML practices while independently owning delivery within a stream.
Strong communication skills and the ability to work directly with Product and technical stakeholders.
Ability to balance speed and engineering quality: validate ideas quickly when uncertainty is high and build robust solutions when moving towards production.
Previous experience as a Tech Lead, Stream Lead, or technical owner of ML initiatives.
Experience with Kubernetes and CI/CD.
Experience with Kafka or other streaming platforms.
Experience with Airflow, MLflow, experiment tracking, model monitoring, or similar tooling.
Experience building real-time or high-load ML services.
Experience with FastAPI or similar Python service frameworks.
Experience across several ML domains, such as recommendation systems, ranking, NLP/LLMs, Computer Vision, anomaly detection, forecasting, or classification.
Experience with LLM inference, fine-tuning or other GenAI systems.
Experience in teams where Data Scientists and ML Engineers own a substantial part of production implementation themselves.

Responsibilities

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Skills & expertise

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

Everything else on this page, kept up to date and available to every member of Chakrie at no cost at all.

Salary & benefits

A clear overview of what is expected, written by the people who posted it, with every detail you need to decide.

Qualifications, experience and the skills that matter most, along with anything that would make you stand out.

Practical next steps, the documents to prepare and the dates to keep in mind before you apply or get in touch.

Contact details, links to the official source and the notes our team adds after checking each listing by hand.

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Lead ML Engineer

Summary

Requirements

Additional Requirements

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Summary

Requirements

Additional Requirements

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