Latest AI JobsBrowse Jobs
StackAdapt logo

Senior/Staff Applied Machine Learning Scientist

StackAdaptUnited KingdomData Science
Apply on company site
Salary
Not listed
Job type
Full-time
Posted
5 Sept 2025
Status
Open · checked 7d ago

About this role

Role Overview

StackAdapt is seeking a Senior/Staff Applied Machine Learning Scientist to join its engineering team and expand data science initiatives across the United Kingdom. This opening is tailored for an experienced professional who wants to build cutting-edge machine learning solutions that process millions of requests and automated optimizations every single second. Ideal candidates will thrive in a collaborative environment and possess a strong passion for solving complex scalability, data storage, and traffic challenges.

Key Responsibilities

Lead the creation, refinement, and optimization of advanced machine learning algorithms to enhance advertising effectiveness and overall campaign return on investment.
Take ownership of the end-to-end development lifecycle for production-grade machine learning models by writing efficient, scalable code.
Collaborate closely with data engineers to seamlessly deploy and integrate algorithms into live operational systems.
Drive the prototyping and rigorous testing of innovative algorithms and data pipelines using historical data to validate performance and scalability.
Lead iterative algorithmic improvements guided by data-driven insights and deep machine learning expertise.

Requirements

Bring a minimum of 3 years of relevant industry experience in applied machine learning.
Hold a Master's degree or PhD in Computer Science, Statistics, Operations Research, or a closely related field, with dual degrees considered a distinct plus.
Demonstrate the ability to translate ambiguously defined tasks into clear, actionable steps.
Possess a comprehensive understanding of core statistics, mathematical optimization, and machine learning principles.
Show strong proficiency in programming, data structures, and algorithms.
Enjoy working within a friendly, cooperative, and supportive team setting.

Skills and Tools

Machine Learning
Deep Learning
Statistics and Optimization
Data Structures and Algorithms
Scalable Code Development
Production-Grade ML Model Deployment
Data Pipeline Prototyping and Testing

Salary and Benefits

Base salary ranging from £102,656 to £141,152 GBP, determined by experience, technical skills, and relevant education.
Comprehensive health benefits provided from the first day of employment.
Retirement, 401K, or pension savings plans globally.
Competitive paid time off packages, including birthdays off.
Work from home reimbursements and optional global WeWork membership.
Access to a mental health care program, robust training and onboarding, and professional development support.

About the Company

StackAdapt is a leading technology company that empowers marketers to connect brand and performance marketing through an AI-powered platform. Recognized globally for workplace culture and innovation, the organization has earned accolades such as G2 Top Software for 2026, Best Workplaces™ for Young Talent, and top rankings as a demand-side platform. The company fosters a diverse and inclusive environment where collaborative individuals work together to achieve impactful results.

How to Apply

Interested candidates should visit the official StackAdapt careers page to submit their application and learn more about open opportunities.

Questions candidates ask

Where is this job located?

This position is remote-first and open to candidates located anywhere in the United Kingdom.

What is the salary range for this role?

The base salary band ranges from £102,656 to £141,152 GBP, depending on factors such as experience, technical skills, and education.

What level of experience is required?

Candidates must have 3+ years of industry experience along with a Master's degree or PhD in Computer Science, Statistics, Operations Research, or a related field.

What benefits does StackAdapt offer?

Employees enjoy day-one health benefits, retirement or pension savings options, competitive paid time off including birthdays off, work from home reimbursements, mental health care access, and professional development support.

How can I apply for this position?

You can apply by visiting the official StackAdapt careers page.

Ready to apply?

The application is on the official StackAdapt careers page.

Apply on company site