Machine Learning Engineer (Remote)
StackAdapt8 hours ago
London, United KingdomSenior
Responsibilities
- Design modular and scalable real-time data pipelines for large datasets.
- Implement custom machine learning and probabilistic algorithms in low-latency environments.
- Develop microservice architectures for concurrent model training, inference, and monitoring across thousands of machine learning models.
- Collaborate with Data Scientists, Machine Learning Engineers, Engineering teams, and the CTO/Co-Founder.
Requirements
- Demonstrated understanding of algorithms, software design, concurrency, and data structures.
- Experience implementing probabilistic or machine learning algorithms.
- Interest in designing scalable distributed systems.
- Ability to break ambiguously defined tasks into actionable steps.
- A high GPA from a well-respected Computer Science program.
- Ability to work collaboratively in a friendly team environment.
Benefits
- Fully remote, distributed work arrangement open to candidates based in the UK, Ireland, or Germany.
- Base salary range of £82,125–£112,922 GBP, excluding additional compensation such as bonuses, commissions, and equity.
- Retirement, 401(k), or pension savings programs globally.
- Paid time off, including birthday leave.
- Mental health care and health benefits from the first day of employment.
- Work-from-home reimbursements and optional global WeWork membership.
- Training, onboarding, professional development support, programmatic courses, and certifications.
- Parental leave, social and team events, and an inclusive supportive culture.
Categories
Data EngineeringML Engineering
About StackAdapt
StackAdapt builds a programmatic demand-side platform that lets brands and agencies plan, buy, and optimize digital ads across native, display, video, connected TV, and audio. Its AI-driven platform supports cross-channel targeting, measurement, and attribution, sold as SaaS/media through managed and self-serve campaigns. Founded in 2014 and headquartered in Toronto, the company is privately held and serves customers across North America, EMEA, APAC, and LATAM.