At a Glance
- Tasks: Design and implement scalable data pipelines and custom ML algorithms for real-time applications.
- Company: Join StackAdapt, a leading tech company revolutionising digital marketing with AI.
- Benefits: Enjoy competitive salary, health benefits, remote work, and generous paid time off.
- Other info: Be part of a diverse team with excellent career growth and continuous learning opportunities.
- Why this job: Make an impact in a collaborative environment while tackling complex machine learning challenges.
- Qualifications: Strong understanding of algorithms, software design, and experience with machine learning.
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're 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'll 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's 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.
What you'll be doing:
- 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'll bring to the table:
- Have the ability to take an ambiguously defined task, and break it down into actionable steps
- Have deep understanding of algorithm and software design, concurrency, and data structures
- Experience in implementing probabilistic or machine learning algorithms
- Interest in designing scalable distributed systems
- 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've been recognized for our diverse and supportive workplace, high performing campaigns, award-winning customer service, and innovation. We've been awarded: Ad Age Best Places to Work 2024, G2 Top Software and Top Marketing and Advertising Product for 2024, Campaign’s Best Places to Work 2023 for the UK, 2024 Best Workplaces for Women and in Canada by Great Place to Work® #1 DSP on G2 and leader in a number of categories including Cross-Channel Advertising.
Remote Machine Learning Engineer (Remote) in Nottingham employer: StackAdapt
StackAdapt is an exceptional employer that champions a remote-first culture, offering a collaborative and inclusive environment for its employees. With competitive salaries, comprehensive health benefits from day one, and robust support for personal development, employees are empowered to grow their skills while working on cutting-edge machine learning projects. The company also fosters a friendly atmosphere with social events and a commitment to diversity, making it a rewarding place for those looking to make a significant impact in the digital advertising space.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Machine Learning Engineer (Remote) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to current employees at StackAdapt on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give us a leg up!
✨Tip Number 2
Prepare for technical interviews by brushing up on your machine learning algorithms and data structures. We recommend doing mock interviews with friends or using online platforms to simulate the real deal. Practice makes perfect!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant machine learning projects, make sure to highlight them during interviews. We love seeing practical applications of your skills, so be ready to discuss your thought process and outcomes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in joining the StackAdapt family. Let’s get you that interview!
We think you need these skills to ace Remote Machine Learning Engineer (Remote) in Nottingham
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 ML algorithms and data pipelines. We want to see how your skills align with what we do at StackAdapt!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our Data Science team. Let us know what makes you a great fit for StackAdapt!
Showcase Your Projects:If you've worked on any cool projects related to machine learning or data processing, make sure to mention them. We love seeing practical applications of your skills, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team!
How to prepare for a job interview at StackAdapt
✨Know Your Algorithms
Brush up on your machine learning algorithms and be ready to discuss how you've implemented them in past projects. StackAdapt values a deep understanding of algorithm design, so prepare to explain your thought process and the challenges you faced.
✨Showcase Your Problem-Solving Skills
Be prepared to tackle ambiguous tasks during the interview. Think of examples where you've broken down complex problems into actionable steps, especially in a data-driven context. This will demonstrate your ability to thrive in StackAdapt's dynamic environment.
✨Familiarise Yourself with Data Pipelines
Since you'll be designing scalable data pipelines, it’s crucial to understand the principles behind them. Be ready to discuss your experience with real-time data processing and any relevant technologies you've used, as this aligns perfectly with what StackAdapt is looking for.
✨Emphasise Collaboration
StackAdapt prides itself on a friendly, collaborative culture. Share experiences where you've worked effectively in teams, particularly with data scientists or engineers. Highlight your communication skills and how you contribute to a positive team environment.
