Machine Learning Engineering Lead H/F Coca-Cola Europacific Partners

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.

Application

If this role is of interest to you please upload a recent copy of your CV and a member of the Talent Acquisition team will be in touch.

We believe that equal opportunities means inclusion, diversity and fair treatment for all.

We aim to make our recruitment process as comfortable and accessible as possible and would appreciate it if you would advise us of any particular requirements, adjustments or requests you may have to help us ensure that your experience is enjoyable.

Job Information:
Hiring Manager:Rajesh Mahajan
Recruiter:Tegan McColl
Grade:G2
Location:Pan EU : Belgium:Brussels/Bruxelles : Anderlecht(HQ) Pan EU : Bulgaria:Sofia : Sofia City Pan EU : France:Ile-de-France : Paris Pan EU : Germany:Berlin : Head office national:10245 Pan EU : Iceland:Reykjavik : Reykjavik Pan EU : Norway:Akershus : Norway HQ- Lorenskog Pan EU : Portugal:Lisboa e Vale Do Tejo : Lisboa Pan EU : Spain:Cataluna : Barcelona Pan EU : Spain:Madrid : Madrid Pan EU : Sweden:Svealand : Stockholm - HQ Pan EU : The Netherlands:Zuid Holland : Rotterdam(Hoofdkantoor) Pan EU : United Kingdom:CCEP Site Locations : Uxbridge