Senior Machine Learning Engineer

Job Description

<p><strong>Job Title </strong>- Senior Machine Learning Engineer</p><p><strong>Length -</strong> 6 month contract (strong extension potential)</p><p><strong>Client</strong> - Retail</p><p><br></p><p><strong>Your new company</strong></p><p>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.</p><p><br></p><p><strong>Your new role</strong></p><p>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:</p><ul><li>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.</li><li>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.</li><li>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.</li><li>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.</li><li>You will collaborate with engineering to ensure maintainable services and with product team to translate business objectives into model goals.</li></ul><p><br></p><p><strong>What you'll need to succeed</strong></p><ul><li>Master's or PhD in Computer Science, Machine Learning, or related field</li><li>7+ years of experience in machine learning engineering, with a focus on recommendation systems or personalization</li><li>You have strong applied ML foundations, including data splitting strategies, regularization, calibration, and interpretability.</li><li>You have practical experience in at least one of the following: recommendation systems, search/ranking, forecasting, or operations research.</li><li>You understand deployment of ML models and pipelines in production environments and are comfortable with CI/CD for models.</li></ul><p><br></p><p><strong>What you'll get in return</strong></p><ul><li>Competitive salary and benefits package</li><li>Opportunities for professional growth and development</li><li>A collaborative and inclusive work environment</li><li>Access to cutting-edge technologies and projects</li><li>The chance to work with industry leaders and innovators</li></ul><p><br></p><p><strong>What you need to do now</strong></p><p>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.</p>