Jobs and Careers
XE
Senior Machine Learning Engineer
XebiaUKRemotefull_timeVerifiedPosted 9 Mar 2026
About the role
For more than 20 years, our global network of passionate technologists and pioneering craftspeople has delivered cutting-edge technology and game-changing consulting to companies on the brink of AI-driven digital transformation. Since 2001, we have grown into a full-service digital consulting company with 5500+ professionals working on a worldwide ambition.
Driven by the desire to make a difference, we keep innovating. Fueling the growth of our company with our knowledge worker culture. When teaming up with Xebia, expect in-depth expertise based on an authentic, value-led, and high-quality way of working that inspires all we do.
About the Role
As a Senior Machine Learning Engineer, you will operationalize innovative ML solutions and work alongside other team members like product manager, Enterprise architect, Principal ML Engineer, Data scientists and business to design, build ML pipeline and productionalize ML models. You will be also responsible for integrating ML solutions to operational products. This hands-on technical role demands excellent ML engineering and MLops knowledge and can demonstrate best practices in the industry. Come be a part of a team that is starting this new journey.
We are looking for someone who is a technology-agnostic polymath—committed to a lifelong journey of learning and exploration of new scientific ideas—and will bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale. This role is ideal for someone looking to extend their machine learning and software engineering skills to lead ML engineering team and create impact by delivering ML capabilities at scale
What You’ll Do
- Responsible for executing ML operationalization across enterprise.
- Architect, build, maintain, and improve end to end ML systems.
- Implement end-to-end solutions for batch and real-time algorithms along with tooling around monitoring, logging, automated testing, performance testing and A/B testing.
- Collaborate with Product, Engineering , Data scientists and Business teams on planning new capabilities.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Actively participate in code review and test solutions to ensure it meets best practice specifications.
- Contribute to and promote good software engineering practices across the team.
- Excellent communication skills, with the ability to explain complex technical concepts to technical and non-technical audiences.
- Demonstrate our values of Passion for Client Service, Innovation, Expertise, Balance, Respect for All, Teamwork, and Initiative.
- Support technical evaluations of other consultants when required, contributing to the assessment of skills and alignment wit
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