MLOps Engineer - Kubeflow Remote

About the Role

We're hiring an MLOps Engineer - Kubeflow remote to join our innovative team at Oliver Bernard. As an MLOps Engineer, you'll play a crucial role in designing, building, and supporting machine learning platforms that leverage the power of AI capabilities. This position offers the flexibility of fully remote work, allowing you to contribute from anywhere while being part of a leading SaaS company that specializes in trading, eGaming, and payments solutions worldwide.

What You'll Do

• Design and deploy high-quality, scalable platforms for running production machine learning software.
• Define the overall strategy and roadmap for machine learning and AI initiatives.
• Support platform deployments and CI/CD tools and processes to enhance operational efficiency.
• Collaborate with the Data Platforms team to ensure seamless integration of MLOps practices.
• Utilize your expertise in Kubernetes, Docker, and other DevOps tools to optimize performance.

Requirements

• Proven experience in machine learning and MLOps, with a strong focus on KubeFlow.
• Solid knowledge of cloud platforms such as AWS, Azure, GCP, and OpenStack.
• Extensive experience with DevOps practices, including Kubernetes, observability, and CI/CD.
• Proficient coding skills in Python, Ruby, Perl, or similar languages.
• Strong understanding of software development principles and modern tech frameworks.

Nice to Have

• Experience with tools like Spark, MLlib, TensorFlow, and PyTorch.
• Familiarity with REST APIs and FastAPI for building scalable applications.
• Knowledge of infrastructure as code (IaC) tools like Terraform and Ansible.

What We Offer

• Competitive salary of £80K per year.
• Fully remote working environment with flexible hours.
• Opportunities for professional growth and development in the AI/ML space.
• Access to cutting-edge technologies and tools in the industry.
• Collaborative team culture focused on innovation and excellence.