Software Engineer - ML Ops

MLOps Engineer | London | Remote | £500 - £600 day rate

We're working with a leading global talent solutions and workforce technology specialist on this exciting opportunity.

We are looking for a heavyweight MLOps Engineer to take full ownership of the deployment, monitoring, and scaling of high-impact machine learning models. This is a platform-first role where you will leverage a sophisticated tech stack including Python, AWS, and Kubernetes to ensure industrial-grade reliability for production-ready AI.

The Role

• Lead the deployment and maintenance of production ML models, ensuring seamless integration into automated CI/CD pipelines and high-performance environments.

• Radical platform monitoring using Grafana and Domino Data Lab to track model health, endpoint performance, and reliability.

• Drive operational excellence by managing incident response via ServiceNow, performing critical code fixes, and optimizing resource usage.

• Collaborate closely with Data Science teams to streamline the handoff from experimentation to production, ensuring strict version control and governance.

• Build and enhance automation tooling for model evaluation metrics, identifying data drift, overfitting, and feature importance in real-time.

What You'll Need

• Deep expertise in Python programming and a proven track record of deploying ML models in complex, scalable production environments.

• Strong hands-on experience with AWS cloud infrastructure, specifically managing S3, Redshift, and associated data services.

• Advanced proficiency with monitoring and orchestration tools, including Grafana, Docker, and Kubernetes.

• A solid grasp of ML lifecycle concepts such as data drift, feature importance, and model validation metrics.

• Experience with Domino Data Lab is highly desirable; background in troubleshooting and incident management within a fast-paced environment is essential.

What's On Offer

• Competitive daily rate of £500 - £600 in a high-impact, platform-centric role.

• Flexible, remote-friendly working environment based out of a central London hub.

• Opportunity to work on enterprise-level ML infrastructure and cutting-edge MLOps tooling.

Apply via Haystack today!