Machine Learning Engineering Lead

Coca cola
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Tech stack

Amazon Web Services (AWS)
Artificial Neural Networks
Azure
Data Transformation
Hadoop
Python
Machine Learning
TensorFlow
Software Engineering
Management of Software Versions
Google Cloud Platform
PyTorch
Spark
Keras
Containerization
Scikit Learn
Kubernetes
Information Technology
Data Management
Machine Learning Operations
Docker

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?

About the company

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.

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