Applied Machine Learning Scientist

StackAdapt; United Kingdom; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Highly competitive salary

Retirement/401K/Pension Savings

Competitive Paid time off packages

Comprehensive mental health care program

Health benefits from day one

Work from home reimbursements

Optional global WeWork membership

Robust training and onboarding program

Support for personal development initiatives

Access to programmatic courses and certifications

Awesome parental leave program

Supportive culture and team events

Job summary

StackAdapt is looking for an Applied Machine Learning Scientist to innovate algorithms that maximize ROI and advertising performance. The role involves implementing production code and prototyping algorithms using historical data. Applicants should have a Master's or PhD in a related field and strong skills in machine learning, statistics, and coding. This remote-first position offers a competitive salary and various benefits, including health coverage from day one, generous paid time off, and support for personal development initiatives.

Qualifications

• Masters degree or PhD in a related field required.
• Ability to break down ambiguously defined tasks.
• Comprehensive understanding of machine learning is essential.
• Proficiency in coding, data structures, and algorithms necessary.

Responsibilities

• Innovate machine learning algorithms to maximize ROI and advertising performance.
• Write production code in collaboration with Data Engineers.
• Prototype algorithms and test using historical data.

Skills

Machine Learning

Statistics

Optimization

Collaboration

Coding

Education

Masters degree or PhD in Computer Science, Statistics, Operations Research, or related field

Job description

StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision. With 465 billion automated optimizations per second, the AI-powered StackAdapt Marketing Platform seamlessly connects brand and performance marketing to drive measurable results across the entire customer journey. The most forward‑thinking marketers choose StackAdapt to orchestrate high‑impact campaigns across programmatic advertising and marketing channels.

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands of publishers and advertisers worldwide and as a result, we're dealing with millions of requests each second, making billions of decisions. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Want to learn more about our Data Science Team: https://alldus.com/ie/blog/podcasts/aiinaction-ned-dimitrov-stackadapt/ Learn more about our team culture here: https://www.stackadapt.com/careers/data-science Watch our talk at Amazon Tech Talks: https://www.youtube.com/watch?v=lRqu-a4gPuU

StackAdapt is a Remote First company, and we are open to candidates located anywhere in the UK, Ireland and Germany for this position.

What you’ll be doing

• Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state‑of‑the‑art methods, to development using a deep understanding of classic methods
• Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights

What you’ll bring to the table

• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
• Have the ability to take an ambiguously defined task, and break it down into actionable steps
• Have a comprehensive understanding of statistics, optimization and machine learning
• Are proficient in coding, data structures, and algorithms
• Enjoy working in a friendly, collaborative environment with others

StackAdapter's Enjoy

• Highly competitive salary
• Retirement/ 401K/ Pension Savings globally
• Competitive Paid time off packages including birthday's off!
• Access to a comprehensive mental health care program
• Health benefits from day one of employment
• Work from home reimbursements
• Optional global WeWork membership for those who want a change from their home office and hubs in London and Toronto
• Robust training and onboarding program
• Coverage and support of personal development initiatives (conferences, courses, books etc)
• Access to StackAdapt programmatic courses and certifications to support continuous learning
• An awesome parental leave program
• A friendly, welcoming, and supportive culture
• Our social and team events!

Please note: Benefits and perks may vary depending on your country of employment and the nature of your engagement. In locations where StackAdapt does not have a legal entity, employment and benefits are administered in accordance with local regulations and partner policies.

StackAdapt is a diverse and inclusive team of collaborative, hardworking individuals trying to make a dent in the universe. No matter who you are, where you are from, who you love, follow in faith, disability (or superpower) status, ethnicity, or the gender you identify with (if you’re comfortable, let us know your pronouns), you are welcome at StackAdapt. If you have any requests or requirements to support you throughout any part of the interview process, please let our Talent team know.

We use artificial intelligence (AI) to streamline the resume reviews of candidates and assess their fit based on the criteria outlined in the job posting. We do not use AI to make any final hiring or interview decisions.

About StackAdapt

We've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded:G2 Top Software for 2026
2026 Best Workplaces™ for Young Talent and in Canada by Great Place to Work®
#1 DSP on G2 and leader in a number of categories including Cross‑Channel Advertising
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