ML Ops Engineer

ML Ops Engineer - Cloud, Data, and AI

Are you passionate about shaping the future of data and cloud technology?

We're partnering with a forward-thinking financial organization investing heavily in its data and AI capabilities - and they're looking for an experienced ML Ops Engineer to join their growing Data Delivery Team.

In this newly created role, you'll work across AWS and Azure environments, helping scale machine learning and data science projects from concept to production. You'll play a hands-on role in designing, deploying, and optimizing cloud-based data platforms - empowering teams to deliver smarter, faster insights across the business.

If you love the challenge of bridging data science and cloud engineering, this is an opportunity to make a real impact in a growing, collaborative environment.

What you'll be doing:

• Building and optimizing cloud platforms on AWS and Azure.
• Automating the deployment and maintenance of ML models and data science tooling.
• Enabling data labs and environments to support experimentation and innovation.
• Partnering with cross-functional teams to drive efficiency and deliver scalable, data-driven solutions.

What you'll bring:

• Strong ML Ops experience.
• Proficiency in Python and SQL.
• Hands-on cloud engineering experience with AWS & Azure (Redshift, Synapse).
• Familiarity with Terraform, Power BI, and Excel.
• A proactive, problem-solving mindset with strong collaboration skills.

This role offers the chance to work within a progressive, flexible culture where innovation is encouraged and career growth is supported.