MLOps Engineer

<p><strong>Senior ML/MLOps Engineer (MLflow) | Databricks | Azure)</strong></p><p><br><br>You could be just the right applicant for this job Read all associated information and make sure to apply.<br></p><p><strong>About Optima Partners</strong></p><p>We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more.</p><p>Join a practitioner-led, fast-growing team delivering ML systems that actually make it into production.</p><p><br></p><p>We’re growing our engineering team and looking for an <strong>MLOps Engineer</strong> who loves building real, production grade ML systems not just proof‑of‑concepts. If you enjoy working across the full ML lifecycle and have strong <strong>MLflow</strong> experience, this role is built for you.</p><p><br></p><p><strong>What You’ll Do</strong></p><ul><li>Own end-to-end ML model lifecycles from training to deployment to monitoring</li><li>Productionise models built in PyTorch, TensorFlow, or Scikit‑learn</li><li>Use <strong>MLflow</strong> for experiment tracking, model versioning, deployment, and release workflows</li><li>Build scalable data & ML pipelines in <strong>Databricks</strong> (Delta, DLT, Jobs)</li><li>Design and maintain Azure data architectures (Data Lake, Synapse, SQL DW)</li><li>Create robust CI/CD pipelines for ML + data using Azure DevOps, Git, Jenkins</li><li>Automate infrastructure with Terraform / ARM / Ansible</li><li>Work closely with engineering teams to deliver real-world ML systems across multiple sectors. xwzovoh </li></ul><p><br></p><p><strong>Tech Stack You’ll Work With</strong></p><p><br></p><ul><li>Python, SQL, PySpark</li><li>PyTorch, TensorFlow, Scikit‑learn</li><li>MLflow (core focus), Databricks, Azure</li><li>IaC: Terraform, ARM, Ansible</li><li>Git, Azure DevOps, Jenkins</li></ul><p><br></p><p><strong>What We’re Looking For</strong></p><p> 3+ years in ML Engineering, MLOps, or Data Engineering</p><p> Hands-on experience productionising ML models</p><p> Strong MLflow + Databricks experience</p><p> Consulting experience is a plus</p><p> Comfortable working in Agile environments</p><p><br></p><p>Join us to build production‑ready ML systems that make a real impact working with modern tooling, great people, and the freedom, support, and rewards to grow your career fast.</p><p><br></p><p><strong>What We Offer</strong></p><ul><li>Competitive base salary</li><li><strong>15% discretionary company bonus</strong></li><li>Up to <strong>37 days’ holiday</strong></li><li>Private medical insurance</li><li>Group life assurance & income protection</li><li>Salary sacrifice pension scheme</li></ul>