Job Description
We are seeking a Machine Learning Engineer with a strong foundation in deep learning to join a cross-functional team. You'll work closely with data scientists and engineers to deliver impactful machine learning solutions across a wide range of data-rich challenges.
In this role, you'll contribute to developing and deploying advanced algorithms that influence key areas like pricing strategies and personalised customer targeting, all at enterprise scale.
Key Responsibilities
1. Collaborate with cross-functional teams to design, implement, and optimize machine learning models for real-world business use cases.
2. Deploy and maintain both batch and real-time machine learning systems at scale.
3. Work alongside data scientists to translate experimental models into robust production-ready solutions.
4. Continuously improve model accuracy, system efficiency, and platform capabilities.
5. Contribute to defining team best practices and engineering standards in machine learning development.
6. Stay up to date with the latest industry research and bring new insights to the wider ML community within the business.
Qualifications
About You
7. Hands-on professional experience in developing and deploying machine learning solutions, with a focus on deep learning.
8. Experience working with modern ML frameworks and familiarity with end-to-end deployment workflows.
9. Proficiency in training models using GPUs, and a strong interest in distributed computing and scalable systems.
10. Familiar with software development practices including version control, CI/CD, containerization, and monitoring, especially within ML Ops workflows.
11. A collaborative mindset with strong communication skills and the ability to work effectively across multidisciplinary teams.
12. Motivated self-starter with a desire to learn, share knowledge, and grow in a fast-paced environment.
Additional Information
BeneFITS’
13. Competitive salary and performance-based bonus scheme
14. Generous employee discount and exclusive product access
15. Structured personal and professional development opportunities
16. Paid annual leave plus an additional day for special personal milestones
17. Flexible benefits allowance and private medical care options
18. Access to a variety of online learning resources and employee-led communities
19. A supportive, inclusive, and dynamic workplace where innovation thrives