Machine Learning Engineering Lead in Peaslake

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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.

• 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.

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.

If you are a hands-on Senior ML Engineer and team leader who is passionate about high-quality delivery and coaching others, values sustainable, flexible data platforms and their business impact, and combines software engineering discipline with data science rigor, you might be a fit.

Ready to Make an Impact?

Apply now and be part of our data transformation journey. 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 equal 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.

Hiring Manager: Rajesh Mahajan
Recruiter: Tegan McColl
Grade: G2

Location: Pan EU with multiple site locations including Belgium (Brussels/Bruxelles; Anderlecht HQ), Bulgaria (Sofia), France (Ile-de-France, Paris), Germany (Berlin; Head office 10245), Iceland (Reykjavik), Norway (Akershus; Lorenskog HQ), Portugal (Lisboa e Vale Do Tejo), Spain (Cataluña - Barcelona; Madrid), Sweden (Svealand - Stockholm - HQ), The Netherlands (Zuid Holland - Rotterdam HQ), United Kingdom (CCEP Site Locations - Uxbridge).

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.