Senior MLOps Engineer at Quantexa

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

16 Jan, 26

Salary

0.0

Posted On

18 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Science, Machine Learning, Model Development, Deployment, Monitoring, Maintenance, Python, ML Libraries, Big Data Tools, Spark, Containerization, Orchestration Technologies, Docker, Kubernetes, DevOps Tools, MLOps Tools

Industry

Software Development

Description

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. 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. 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

Responsibilities

The Senior MLOps Engineer will ensure that machine learning models run reliably and add value in production. This includes monitoring, maintaining, and integrating models into products while assisting data scientists in moving models from research into production.