Senior MLOps Engineer

At Quantexa, data is our core business but our culture is built around collective growth and empowerment. We collaborate across continents, celebrate successes together, and tackle challenges united. Nearly half of our colleagues come from ethnic or religious minority backgrounds, and we speak over 20 languages across 47 nationalities, creating a sense of belonging for all.

MLOps Engineer

London, England, United Kingdom

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• Mid‑Senior level
  
• Full‑time
  
• Engineering and Information Technology
  

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• Help ensure machine learning models run reliably and add value in production.
  
• Focus on monitoring, maintaining, and integrating models into products.
  
• Assist data scientists in moving models from research into production.
  

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• Technical experience in data engineering or data science roles.
  
• Understanding of the machine learning development lifecycle (model development, deployment, monitoring, and maintenance).
  
• Strong programming skills in Python and experience with common ML libraries.
  
• Experience with big‑data tools such as Spark.
  
• Experience with containerization and orchestration technologies like Docker, Helm, and Kubernetes.
  
• Familiarity with DevOps tools such as Jenkins or similar for workflow automation.
  
• Experience with Quantexa is advantageous but not required.
  

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• Experience deploying machine learning models into production and managing their lifecycle.
  
• Experience implementing model governance, including versioning, monitoring, drift detection, and reporting.
  
• Familiarity with MLOps tools such as MLflow, Kubeflow, or DVC.
  
• Programming skills in Scala.
  
• Experience working with ONNX and ONNX Runtime for model optimisation and deployment.
  
• Experience mentoring or supporting colleagues to grow their technical skills.
  

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• Competitive salary.
  
• Company bonus.
  
• 25 days annual leave (with the option of buying up to 5 days and rolling over up to 10), plus national holidays and your birthday off.
  
• Pension scheme with a company contribution of 6% (when you contribute 3%).
  
• Private healthcare with AXA, including dental & optic cover.
  
• Life insurance and income protection.
  
• Regularly benchmarked salary rates.
  
• Enhanced maternity, paternity, adoption, or shared parental leave.
  
• Well‑being days.
  
• Volunteer day off.
  
• Work‑from‑home equipment.
  
• Commuter, tech, and cycle‑to‑work schemes.
  
• Octopus EV salary sacrifice scheme.
  
• Free Calm app subscription for meditation, relaxation, and sleep.
  
• Continuous training and development, including access to Udemy Business.
  
• Spend up to 2 months working outside your country of employment over a rolling 12‑month period with our “Work from Anywhere” policy.
  
• Employee referral program.
  
• Team social budget & company‑wide socials.
  

We are proud to be an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse work environment and continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or accommodations, please let our Talent Acquisition Team know—we're happy to assist.