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Machine Learning Engineer (Remote)

AgileGrid Solutions
Department:Data Analysis
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Associate
Estimated Salary:£60,000 - £90,000
Skills:
MACHINE LEARNINGDATA PIPELINESMICROSERVICESPYTHONALGORITHMSDATA STRUCTURESLOW LATENCYPROBABILISTIC ALGORITHMS
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Job Description

Posted on: May 17, 2026

About The Company StackAdapt is a leading technology company specializing in programmatic advertising and digital marketing solutions. Our innovative platform leverages artificial intelligence and automation to enable marketers to reach, engage, and convert audiences with precision and efficiency. With the capacity to perform 465 billion automated optimizations per second, our AI-powered StackAdapt Marketing Platform seamlessly integrates brand and performance marketing efforts, delivering measurable results throughout the entire customer journey. Our commitment to innovation and excellence has positioned us as a trusted partner for forward-thinking marketers worldwide, helping them orchestrate high-impact campaigns across various channels. About The Role We are seeking a talented and motivated Machine Learning Engineer to join our Data Science team. In this role, you will work on solving complex problems related to our digital advertising platform, directly collaborating with Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder. Your primary responsibilities will include designing and building scalable, real-time data pipelines, developing and implementing custom machine learning algorithms, and optimizing ad performance through predictive modeling. You will work with large-scale databases processing millions of requests per second, providing ample opportunities to tackle challenging data-driven problems. This is a remote-first position, open to candidates based in the UK, Ireland, or Germany, offering flexibility and the chance to contribute to a pioneering organization from anywhere in these regions. Qualifications The ideal candidate will have a strong foundation in computer science with a high GPA from a reputable university. You should possess experience in implementing probabilistic or machine learning algorithms, along with a deep understanding of algorithm and software design, concurrency, and data structures. The ability to translate ambiguous tasks into actionable steps is essential, as is experience working in low-latency environments. Familiarity with microservice architectures that support training, inference, and monitoring of thousands of ML models concurrently is highly desirable. Strong collaborative skills and a passion for continuous learning and innovation are also important qualities for success in this role. Responsibilities As a Machine Learning Engineer at StackAdapt, your key responsibilities will include:

  • Designing modular and scalable real-time data pipelines capable of handling large datasets efficiently.
  • Understanding and implementing custom machine learning algorithms optimized for low latency environments.
  • Developing and maintaining microservice architectures that facilitate training, inference, and monitoring of thousands of ML models simultaneously.
  • Collaborating closely with Data Scientists, Engineers, and Product teams to develop innovative solutions that enhance ad targeting and optimization.
  • Continuously improving existing models and pipelines based on performance metrics and evolving business needs.
  • Contributing to the development of best practices for scalable data processing and machine learning deployment.

Benefits StackAdapt offers a comprehensive benefits package designed to support our employees' well-being and professional growth. Highlights include a highly competitive salary, retirement/401K/pension savings plans, and generous paid time off, including birthdays off. Employees have access to a robust mental health care program and health benefits from day one of employment. We also provide work-from-home reimbursements and optional global WeWork memberships for those seeking a change of environment. Our onboarding and training programs are extensive, supporting continuous learning through courses, certifications, and conference opportunities. Additionally, StackAdapt offers an exceptional parental leave policy, a friendly and inclusive culture, and regular social and team-building events to foster a collaborative work environment. Equal Opportunity StackAdapt is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, disability, religion, or any other characteristic protected by law. We believe that diverse perspectives drive innovation and success, and we strive to create an environment where everyone feels valued and empowered. Our hiring process is designed to be fair and equitable, and we provide reasonable accommodations to support candidates throughout the interview process. If you require any assistance or accommodations, please contact our Talent team. We are proud to be an equal opportunity employer and are dedicated to building a team that reflects the diverse world we serve.

Originally posted on LinkedIn

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