Job Description
Lead Machine Learning Engineer About Coca-Cola Europacific Partners (CCEP) 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. 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. Key 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. What We're Looking For Required Skills & Experience • 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. Why Join Us? • Lead and shape the ML engineering function in a data-driven organisation. • Work in a collaborative and innovative environment. • Access continuous learning and professional development. You Might Be the Right Fit If You… • 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? Apply now and be part of our data transformation journey. Apply tot his job