[Hiring] Senior Machine Learning Engineer @Just Eat Takeaway.com

Role Description

As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and improvement.

• Drive the development of cutting-edge solutions that enhance the performance, scalability, and reliability of our machine learning systems.
• Collaborate with the Data Science team to ensure models are deployed seamlessly, optimised for production environments, and meet the highest standards of efficiency and accuracy at scale.
• Architect and oversee the development of complex machine learning pipelines, managing both real-time and batch inference systems that are integral to our predictive platforms.
• Work closely with cross-functional teams to anticipate future needs, recommending and implementing long-term solutions that align with our business objectives.
• Mentor and guide mid-level Machine Learning Engineers, providing technical leadership and helping to shape best practices across the organisation.
• Conduct comprehensive code reviews, identifying areas for improvement, and fostering a culture of continuous learning and collaboration.
• Communicate effectively with both technical and non-technical stakeholders, translating complex machine learning concepts into actionable business insights.
• Present innovative solutions to key stakeholders, making compelling cases for new initiatives and guiding the strategic direction of our machine learning efforts.
• Lead the integration of new technologies and tools into our infrastructure, staying ahead of industry trends and ensuring that our machine learning frameworks remain at the cutting edge of technological advancements.

Qualifications

• Expert-level proficiency with cloud technologies (ideally AWS) and extensive experience with containerization and orchestration (preferably Kubernetes).
• Deep understanding of software development, DevOps, and MLOps best practices, with a proven track record of applying them in production.
• Extensive experience in designing, deploying, and maintaining scalable models and services in production environments.
• Strong understanding of Machine Learning, with the ability to collaborate deeply with Data Scientists on model deployment and optimization.
• Experience with MLflow for experiment tracking and model management, and Airflow or Dagster for orchestrating end-to-end ML pipelines and workflows.
• Significant experience with Data Engineering, Kafka, and stream processing.
• Proficiency in Python and SQL; or any other programming languages is a strong plus.

Benefits

• Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
• Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers.
• Inclusion, Diversity & Belonging: We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.