MLOps Engineer

Senior ML/MLOps Engineer (MLflow) | Databricks | Azure)

About Optima Partners

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.

Join a practitioner-led, fast-growing team delivering ML systems that actually make it into production.

We’re growing our engineering team and looking for an MLOps Engineer 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 MLflow experience, this role is built for you.

What You’ll Do

• Own end-to-end ML model lifecycles from training to deployment to monitoring
• Productionise models built in PyTorch, TensorFlow, or Scikit‑learn
• Use MLflow for experiment tracking, model versioning, deployment, and release workflows
• Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs)
• Design and maintain Azure data architectures (Data Lake, Synapse, SQL DW)
• Create robust CI/CD pipelines for ML + data using Azure DevOps, Git, Jenkins
• Automate infrastructure with Terraform / ARM / Ansible
• Work closely with engineering teams to deliver real-world ML systems across multiple sectors.

Tech Stack You’ll Work With

• Python, SQL, PySpark
• PyTorch, TensorFlow, Scikit‑learn
• MLflow (core focus), Databricks, Azure
• IaC: Terraform, ARM, Ansible
• Git, Azure DevOps, Jenkins

What We’re Looking For

✔️ 3+ years in ML Engineering, MLOps, or Data Engineering

✔️ Hands-on experience productionising ML models

✔️ Strong MLflow + Databricks experience

✔️ Consulting experience is a plus

✔️ Comfortable working in Agile environments

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.

What We Offer

• Competitive base salary
• 15% discretionary company bonus
• Up to 37 days’ holiday
• Private medical insurance
• Group life assurance & income protection
• Salary sacrifice pension scheme