Senior Machine Learning Engineer

Job Description

Job Title - Senior Machine Learning Engineer

Length - 6 month contract (strong extension potential)

Client - Retail

Your new company

Join a leading retail company that is dedicated to providing exceptional customer experiences and innovative solutions. This organization is committed to leveraging cutting-edge technologies to drive business growth and enhance operational efficiency.

Your new role

As a Senior Machine Learning Engineer, you will set the technical direction for a domain, select architectures and metrics, harden pipelines at scale, mentor engineers, and consistently land measurable wins. Your tasks will include:

• Architecting and implementing advanced deep learning models for multimodal You will design and productionize ML pipelines from feature generation through training, validation, model registry, deployment, monitoring, and retraining.
• You will train and serve models (not necessarily LLMs) for one or more domains such as recommendations, search/ranking, time-series forecasting, or operations research.
• You will define sound experimental designs (A/B and offline/online alignment), choose appropriate metrics (e.g., NDCG, CTR, MAPE, cost), and guard against leakage.
• You will deploy models via batch, streaming, or real-time inference using platforms such as MLflow/W&B, Triton/ONNX/TorchServe, and Airflow/Kubeflow, with clear SLOs for drift and performance.
• You will collaborate with engineering to ensure maintainable services and with product team to translate business objectives into model goals.

What you'll need to succeed

• Master's or PhD in Computer Science, Machine Learning, or related field
• 7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization
• You have strong applied ML foundations, including data splitting strategies, regularization, calibration, and interpretability.
• You have practical experience in at least one of the following: recommendation systems, search/ranking, forecasting, or operations research.
• You understand deployment of ML models and pipelines in production environments and are comfortable with CI/CD for models.

What you'll get in return

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and inclusive work environment
• Access to cutting-edge technologies and projects
• The chance to work with industry leaders and innovators

What you need to do now

If you're interested in this exciting opportunity, click 'apply now' to forward an up-to-date copy of your CV, or call us for a confidential discussion.