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?, We're on a journey to unlock the full potential of data and analytics across our business. With our first-ever Chief Data & Analytics Officer leading the way, we're building a progressive data strategy that transforms insights into action-driving growth, efficiency, and sustainability. 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.
Responsibilities
* 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.
Qualifications
* 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?
CCEP is the world's largest independent Coca-Cola bottler, operating across 13 countries and serving over 300 million consumers. Our portfolio includes iconic brands like Coca-Cola®, Fanta®, Powerade®, Glaceau Vitaminwater®, Monster®, and Capri-Sun®.
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