At a Glance
- Tasks: Design and implement scalable data pipelines and machine learning algorithms.
- Company: Join StackAdapt, a leading tech company revolutionising digital marketing.
- Benefits: Competitive salary, health benefits, remote work, and generous paid time off.
- Other info: Diverse, inclusive culture with excellent career growth and continuous learning opportunities.
- Why this job: Work with cutting-edge AI technology and make a real impact in digital advertising.
- Qualifications: Strong understanding of algorithms, software design, and experience in machine learning.
The predicted salary is between 28800 - 48000 £ per year.
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 looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You will be working directly with our Data Scientists, Machine Learning Engineers, Engineering teams, and our CTO/Co-Founder on building pipelines and ad optimization models. With databases that process millions of requests per second, there is no shortage of data and problems to tackle.
StackAdapt is a remote-first company with teams around the world. Our teams work in a fully distributed environment, and we are open to candidates based in the UK, Ireland or Germany. This role will remain open until February 27, 2026. Applications will be reviewed on a rolling basis, and the posting will close once the deadline is reached.
Responsibilities:
- Design modular and scalable real-time data pipelines to handle huge datasets
- Understand and implement custom ML algorithms in a low latency environment
- Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently
What you will bring to the table:
- Ability to take an ambiguously defined task and break it down into actionable steps
- Deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- A high GPA from a well-respected Computer Science program
- Enjoy working in a friendly, collaborative environment with others
StackAdapt's Enjoy:
- Highly competitive salary
- Retirement/401K/Pension Savings globally
- Competitive Paid time off packages including birthdays 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!
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 have been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation.
Machine Learning Engineer (Remote) in London employer: StackAdapt
StackAdapt is an exceptional employer that champions a remote-first culture, allowing you to collaborate with a diverse team of experts from the comfort of your home. With competitive salaries, comprehensive health benefits from day one, and robust support for personal development, including access to training and certifications, StackAdapt fosters an environment where innovation thrives and employees can grow their careers meaningfully. Join us in making a significant impact in the digital advertising space while enjoying a friendly and inclusive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer (Remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at StackAdapt. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your machine learning projects. This is your chance to demonstrate your expertise and creativity beyond the CV.
✨Tip Number 3
Prepare for the interview by brushing up on your algorithms and data structures. Be ready to tackle real-world problems and discuss how you'd approach them in a collaborative environment.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the StackAdapt family.
We think you need these skills to ace Machine Learning Engineer (Remote) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight relevant experience, especially with algorithms and data pipelines, and don’t forget to showcase any projects that demonstrate your skills in a low latency environment.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about working at StackAdapt and how your background aligns with our mission. Be genuine and let your personality come through!
Showcase Your Problem-Solving Skills:In your application, emphasise your ability to break down complex tasks into actionable steps. We love candidates who can tackle ambiguity and come up with innovative solutions, so share examples of how you've done this in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at StackAdapt
✨Know Your Algorithms
Brush up on your understanding of machine learning algorithms and their applications. Be ready to discuss how you've implemented them in past projects, especially in low latency environments. This will show that you can handle the technical demands of the role.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you approach ambiguous tasks. Think of examples where you've broken down complex problems into actionable steps. StackAdapt values candidates who can navigate uncertainty and deliver results.
✨Familiarise Yourself with Data Pipelines
Since you'll be designing modular and scalable data pipelines, it’s crucial to understand the principles behind them. Be ready to discuss your experience with handling large datasets and any relevant technologies you've used.
✨Emphasise Collaboration
StackAdapt thrives on teamwork, so highlight your experiences working in collaborative environments. Share stories that demonstrate your ability to work effectively with Data Scientists and Engineers, as well as your adaptability in a remote setting.
