AI/ML Platform Engineer

About the Role

Our client is building a cutting-edge AI platform and is looking for a skilled AI/ML Platform Engineer to join their team in Edinburgh . This role focuses on developing, deploying, and maintaining the infrastructure that powers our advanced machine learning models and AI services. You will be instrumental in creating scalable, reliable, and efficient ML environments, enabling data scientists and engineers to build and deploy models seamlessly. This hybrid role offers the chance to work on challenging technical problems, collaborate with talented professionals, and contribute significantly to the evolution of our AI capabilities.

Key Responsibilities

• Design, build, and maintain robust ML infrastructure and MLOps pipelines.
• Implement and manage tools for data versioning, model training, experimentation tracking, and deployment.
• Optimize ML workflows for performance, scalability, and cost-efficiency.
• Collaborate with data scientists and software engineers to understand their platform needs and provide solutions.
• Ensure the reliability, security, and availability of the AI/ML platform.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience in software engineering or DevOps, with a focus on ML platforms or MLOps.
• Proficiency in cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Experience with ML frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong scripting skills (e.g., Python, Bash) and familiarity with infrastructure as code tools (e.g., Terraform).

Benefits

• Competitive salary with annual bonus.
• Comprehensive health, dental, and vision insurance.
• Hybrid working model with modern office facilities in Edinburgh .
• Generous holiday allowance and pension scheme.
• Professional development opportunities and access to cutting-edge AI technologies.