At a Glance
- Tasks: Lead MLOps initiatives and mentor a team while driving technical delivery.
- Company: Globally recognised brand focused on innovation in technology and AI.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a focus on both technical and people leadership.
- Why this job: Join a legacy brand and shape the future of ML technology.
- Qualifications: 10+ years in software or ML engineering with strong leadership skills.
The predicted salary is between 100000 - 120000 £ per year.
£100,000 - £120,000+ DoE
Hybrid | London | 2 x weekly office visits
Permanent
The Business
Join a globally recognised brand with a legacy of excellence and a track record of shaping its industry. While its heritage is well established, the organisation is firmly focused on the future, making major investments across technology, data, and AI to accelerate innovation at scale. As part of this journey, they are now seeking a highly capable technical leader to help support their next phase of growth and lead complex transformation initiatives.
The Role
This is a combination of strong technical leadership, architectural ownership and delivery responsibility of ML systems (from backend infrastructure through to frontend integration). There is an ongoing migration from MLflow to AWS SageMaker, so you will be working closely with data scientists, engineers and cross-functional stakeholders to deliver this. You will also be responsible for MLOps delivery from predictive maintenance, fault detection, and component lifecycle optimisation, while leading and mentoring a team of engineers. You will also be working with 5-10 engineers with a slightly higher focus on people leadership (approximately 60/40 split - people leadership / hands-on).
About you
- 10+ years in Software, Data, or ML Engineering
- 5+ years as a Tech Lead, managing teams of 5+, owning end-to-end technical delivery
- Proficiency with Python and MLflow
- Strong AWS/cloud-native experience (ideally with SageMaker exposure)
- React frontend proficiency
- Docker, Kafka, and large-scale data systems (e.g. Spark) experience
- Strong leadership presence and senior stakeholder communication skills
If you have the technical expertise, leadership experience and ambition to make an impact at scale, please apply now. We'd be delighted to discuss the opportunity with you.
MLOps Engineering Manager employer: Uniting Ambition
Uniting Ambition is an excellent employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to engage in meaningful projects that drive modernisation in database management. With flexible remote and hybrid working options, along with a strong focus on professional development, team members can thrive in their roles while enjoying a healthy work-life balance. The supportive environment encourages growth and offers unique advantages for those looking to make a significant impact in the tech industry.
