Senior MLOps Engineer

AI overview

Ensure machine learning models run reliably and add value in production, focusing on model integration and supporting data scientists in their deployment.

What we’re all about. 

We find, when we come together in the pursuit of excellence, great things happen. And that’s how we do things at Quantexa – together. Our business is data, but our culture is collective. We’re about growth – but not just the bottom line. We create a culture where people feel empowered to do their best work. We might work across continents and time zones, but that doesn’t stop us from collaborating. We’re connected. We celebrate our successes together, and we unite to tackle the challenges. Nearly half of our colleagues come from an ethnic or religious minority background. We speak over 20 languages across our 47 nationalities, creating a sense of belonging for all.  

At Q, we’re looking for people who share that vision. People like you.  

Requirements

What you’ll be doing:
We’re looking for an MLOps Engineer to help ensure our machine learning models run reliably and add value in production. In this role, you’ll focus on monitoring, maintaining, and integrating models into products, while also helping data scientists move models from research into production.

What we’re looking for:

  • Technical experience in data engineering or data science roles.
  • An understanding of the machine learning development lifecycle, including model development, deployment, monitoring, and maintenance.
  • Experience with Quantexa would be advantageous.
  • 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.

 

It would be great if you also have:

  • 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 optimization and deployment.
  • Experience mentoring or supporting colleagues to help them grow their technical skills.

 

Benefits

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

    • 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 + 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 bench-marked 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 #1 app for meditation, relaxation and sleep
    • Continuous Training and Development, including access to Udemy Business 
    • Spend up to 2 months working outside of 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 

Our mission.

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

 

It’s all about you.

We want you to feel welcome, valued, and respected—because it’s your individuality and passion that make you Q. We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer.

We are committed to fostering an inclusive and diverse work environment, 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.

No matter your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities—whoever you are—if you're a passionate, curious, and caring human eager to push the boundaries of what’s possible, we want to hear from you.

 

start. don’t stop – Apply

Perks & Benefits Extracted with AI

  • Equity Compensation: Pension scheme with a company contribution of 6% (when you contribute 3%)
  • Health Insurance: Private Healthcare with AXA, including dental & optic cover
  • Learning Budget: Continuous Training and Development, including access to Udemy Business
  • Social Budget & Company Events: Team Social Budget & Company-wide Socials
  • Paid Time Off: 25 days annual leave (with the option of buying up to 5 days, and rolling over up to 10), plus national holidays + your birthday off!

Quantexa was incorporated in March 2016 and has quickly demonstrated extraordinary success including: raising significant investment Series B funding in July 2018; completing a number of highly effective, live client engagements and expanding to a team of more than 200. The team includes experts with many years of experience in developing data analytics and AI software products, building advanced algorithms, marketing, selling and implementing these technologies together with our partners.Our software solutions apply advanced analytical techniques to huge volumes of data, producing single customer/business views and networks of relationships and activity, for data lake and real-time usage. This underpins a range of automated decision making and artificial intelligence (AI) solutions, producing world class accuracy and outcomes. The products can be deployed at customer site in full cycle agile deployments or in the cloud as a software as a service. To date, we have focused on combatting fraud and financial crime but we are rapidly expanding the use cases into business development, risk and beyond. Our customer base is typically blue-chip, tier one and global organisations, including: financial services, oil and gas, travel and transport, government and insurance.Our head office is in London near Waterloo Station, and we have offices in North America, Europe and Australia, with plans to extend globally.

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