Senior Machine Learning Engineer

Job Description

Your new role

You’ll be working on mission-critical platforms that support highly automated, electrified operations, focusing on real-time decisioning, optimisation, and intelligent system orchestration. These platforms integrate advanced software engineering with production-grade machine learning, driving efficiency, reliability, and performance in a complex operational setting.

This role is ideal for someone who thrives at the intersection of backend engineering and applied machine learning, and who is passionate about building resilient, scalable systems where ML is central to business outcomes.

What you’ll need to succeed

• Strong, hands-on Python development experience in production environments
• Proven experience deploying and integrating machine learning models into real-world systems
• Solid understanding of ML lifecycle, including training, validation, deployment, and monitoring
• Experience working with computationally intensive ML workloads and optimising performance
  
  Technical Expertise
  
• 8+ years’ experience in software development, with a focus on backend systems
• Deep knowledge of distributed systems architecture
• Experience with microservices, Docker, and Kubernetes
• Familiarity with event/message-driven systems (Kafka, RabbitMQ, MQTT)
• Strong Linux systems experience (e.g. Ubuntu, RedHat)
• Experience with CI/CD and IaC tools (e.g. GitHub Actions, Terraform)
  Proficiency in at least one additional language (C++, C#, Rust, etc.) advantageous
  
  Desirable Experience
• Background in real-time, high-availability environments highly regarded
• Experience mentoring engineers or leading technical delivery
• Strong system design and problem-solving capabilities

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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