H

Senior Machine Learning Engineer

icon building Company : Hays
icon briefcase Job Type : Full Time

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Job Description - Senior Machine Learning Engineer

Senior ML Engineer role for global company Your new company
HAYS have partnered with a global company in their search for a Senior Software Developer with deep Python and Machine Learning expertise to join a high-performing consulting team delivering cutting-edge software solutions into a large-scale industrial environment.
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
What you'll get in return
  • Work on cutting-edge machine learning applications in production environments
  • Be part of a high-impact transformation programme
  • Opportunity to influence architecture, ML strategy, and engineering standards
  • Collaborate with cross-functional experts in a technically challenging domain
What you need to do now

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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