Machine Learning Engineering Lead
Role details
Job location
Tech stack
Job description
Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win?, The Role: Lead Machine Learning Engineer
As the Lead Machine Learning Engineer, you'll be at the forefront of designing, developing, and deploying cutting-edge machine learning solutions. You'll work closely with data scientists, engineers, and business stakeholders to operationalize models and build scalable ML pipelines that power our data-driven products and services., * Lead end-to-end development of ML models using Python, scikit-learn, Keras/TensorFlow.
- Architect and maintain scalable ML pipelines integrated with our data platforms.
- Implement advanced ML techniques (e.g., bagging, boosting, ensemble methods, neural networks).
- Monitor model performance and data drift; optimize reliability and accuracy.
- Define and track ML Ops metrics (accuracy, latency, drift, resource utilization).
- Collaborate with data scientists to productionize research models.
- Establish best practices for model versioning, reproducibility, and retraining.
- Mentor junior ML engineers and foster a culture of innovation.
- Stay ahead of industry trends and introduce new tools and techniques.
Requirements
Do you have a Master's degree?, * Proven leadership in ML engineering teams or projects.
- Expert in Python and ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
- Strong grasp of advanced ML techniques and ML Ops practices.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Excellent problem-solving and stakeholder engagement skills.
- Bachelor's or Master's in Computer Science, Data Science, Engineering, or related field.
- Experience with big data tools (Spark, Hadoop).
- Familiarity with feature stores, model registries, and experiment tracking.
- Exposure to business domains like finance, healthcare, or retail analytics., * Are a hands-on Senior ML Engineer and team leader.
- Are passionate about high-quality delivery and coaching others.
- Value sustainable, flexible data platforms and their business impact.
- Combine software engineering discipline with data science rigor.
- Create an environment where your team thrives.
Ready to Make an Impact?