MLOps Engineer - Remote Position at Leading SaaS Company

About the Role

We are seeking an experienced MLOps Engineer remote to join our innovative team at a leading SaaS company. This fully remote position offers a competitive salary of £100K and the opportunity to work on cutting-edge solutions in trading, eGaming, and payments globally. As an MLOps Engineer, you will play a crucial role in our Data Platforms team, focusing on the design, building, and support of Machine Learning platforms that harness the power and scale of AI capabilities.

What You'll Do

• Design and deploy high-quality, scalable platforms for running production Machine Learning software.
• Help define the overall strategy and roadmap for Machine Learning and AI initiatives.
• Support platform deployments and CI/CD tools and processes to ensure smooth operations.
• Collaborate with cross-functional teams to enhance the performance and reliability of ML systems.
• Utilize your expertise in MLOps to improve deployment pipelines and monitoring solutions.

Requirements

• Proven experience in Machine Learning and MLOps.
• Familiarity with KubeFlow is highly desirable.
• Strong knowledge of cloud platforms such as AWS, Azure, GCP, and OpenStack.
• Solid DevOps experience, particularly with Kubernetes, Observability, IaC, and CI/CD.
• Proficient coding skills in Python, Ruby, Perl, or similar languages.
• Strong understanding of software development practices and modern tech frameworks.
• Solid Linux knowledge to support various deployments.

Nice to Have

• Experience with Kubeflow, Spark, MLlib, TensorFlow, and PyTorch.
• Familiarity with REST, FastAPI, Docker, Terraform, and Ansible.
• Knowledge of GitOps practices.

What We Offer

• Competitive salary of £100K per year.
• Fully remote work environment with flexible hours.
• Opportunity to work with cutting-edge technologies in AI and Machine Learning.
• Collaborative team culture focused on growth and innovation.
• Access to a variety of professional development resources and training.