Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and develop impactful ML solutions that drive Almedia's growth.
- Company: Join Almedia, Europe's #3 fastest-growing company, aiming for unicorn status.
- Benefits: Equity options, transport subsidies, free meals, and wellness perks.
- Why this job: Be part of a revolutionary marketing future with real impact on user engagement.
- Qualifications: Experience in ML solutions, strong Python and SQL skills, and a passion for gaming.
- Other info: Dynamic Berlin office with a collaborative culture and clear growth paths.
The predicted salary is between 36000 - 60000 £ per year.
This isn't your regular job. Almedia is a place where those who want to push harder can accelerate their careers faster than anywhere else. We're aiming to become Germany's second bootstrapped unicorn. Almedia is already Europe's #3 fastest-growing company in 2025 (FT1000). We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers' products. We are offering a new way to acquire users for the biggest companies in the world.
You'll take ownership of designing, developing, and scaling impactful, production-grade ML solutions that power Almedia's products and growth. This is a hands-on role involving active participation in code development and delivery.
Types of problems you'll be solving:
- Designing and optimising user reward schemes based on player behaviour and market shifts
- Leading the design and implementation of solutions for personalised, real-time reward values
- Developing solutions for identifying underperforming reward campaigns and causes of failure
Your role:
- Lead end-to-end delivery: build, deploy, and optimise solutions and services at scale
- Provide technical leadership across ML projects, ensuring best practices and high-quality code
- Align technical capabilities with business priorities to unlock high-value opportunities
- Apply advanced statistical and causal inference methods to ensure robustness and reliability
- Partner with product and engineering teams to translate business challenges into predictive, data-driven solutions
You have:
- Proven expertise in building, deploying, and maintaining solutions and services in production, ideally in adtech or high-scale environments
- Deep knowledge of statistics (A/B testing, regression, probability)
- Strong programming background in Python and SQL, with hands-on cloud experience
- Ability to mentor and set technical direction for ML engineers and cross-functional peers
- Strong communication skills to influence both technical and non-technical stakeholders
Bonus points for:
- Passion for gaming and strong understanding of player behaviour
- Experience with adtech, monetisation platforms, or the gambling industry
- Familiarity with gaming KPIs such as pLTV, retention, and ROAS
Why Almedia?
- Own Our Growth: We offer all Berlin-based employees equity in Almedia to truly be a part of our success.
- Scale With Almedia: Grow alongside a startup that has been profitable from day one.
- Central Berlin Office: Work from a fully-stocked modern office built for collaboration, accessible from all around Berlin.
- Other Benefits: Transport subsidy, breakfasts and lunches, language learning, Urban Sports Club, and more.
We believe in fostering talent, evaluating all skill levels during the hiring process, and providing a clear path for growth. Almedia is an equal opportunity employer. We embrace and celebrate diversity, and encourage individuals from all backgrounds to apply.
Machine Learning Engineer in London employer: ALmedia
Contact Detail:
ALmedia Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning. We love seeing real-world applications of your work, so make sure to highlight any impactful solutions you've developed.
✨Tip Number 3
Prepare for interviews by practising common ML questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format. The more you practice, the more confident you'll feel!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to be part of our exciting journey at Almedia.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for machine learning and the gaming industry shine through. We want to see that you’re not just looking for a job, but that you’re excited about the impact you can make at Almedia.
Tailor Your CV: Make sure your CV highlights relevant experience in building and deploying ML solutions. We love seeing specific examples of your work, especially if they relate to adtech or high-scale environments. Customise it to fit what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your thoughts on how you can contribute to our growth and mention any unique skills or experiences that set you apart from other candidates.
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 serious about joining the Almedia team!
How to prepare for a job interview at ALmedia
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially those related to user reward schemes and A/B testing. Be ready to discuss your past projects and how you've applied statistical methods to solve real-world problems.
✨Show Off Your Coding Skills
Since this role involves hands-on coding, be prepared to demonstrate your Python and SQL skills. You might be asked to solve a coding challenge or explain your thought process while developing a solution, so practice coding under pressure!
✨Understand the Business Side
Almedia is all about merging tech with business. Familiarise yourself with their products and think about how your technical skills can drive business outcomes. Be ready to discuss how you can align ML solutions with their growth strategies.
✨Communicate Clearly
Strong communication is key, especially when dealing with both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, and be prepared to share how you've successfully collaborated with cross-functional teams in the past.