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- Tasks: Design and scale ML systems for decision intelligence software.
- Company: Join a team transforming how global companies understand customer behaviour.
- Benefits: Enjoy a flexible hybrid setup and remote work options within the EU.
- Why this job: Be part of a smart team creating impactful AI products in a fast-paced environment.
- Qualifications: Strong Python skills and experience with cloud data processing required.
- Other info: Familiarity with PyTorch, scikit-learn, and ETL workflows is a plus.
The predicted salary is between 48000 - 84000 £ per year.
What if you could use machine learning to predict human behaviour, not in theory, but in commercially critical decisions that shape what people buy..
Building the next generation of decision intelligence software, leveraging large scale simulations and behavioural modelling to help global companies understand how customers respond to pricing, product mixes, and promotions.
As a Senior Machine Learning Engineer, you’ll play a pivotal role in designing and scaling the ML systems that power this transformation.You’ll work closely with Data Scientists, Engineers, and Product teams to build robust, production grade models that deliver real time insights through a modern SaaS platform. Expect a fast paced environment, end to end ownership, and technical challenges that demand both depth and pragmatism.
We’re looking for someone with strong Python skills, experience with cloud based data processing, and a track record of delivering reliable, scalable ML systems. Familiarity with tools like PyTorch, scikit-learn, and modern ETL workflows is key. If you’ve worked in pricing, RGM, or simulation heavy domains, even better.
Flexible hybrid setup in Cologne, with the option to work remotely within the EU. Join a smart, motivated team building real AI products with real world impact.
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Senior Machine Learning Engineer employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, especially in pricing and behavioural modelling. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your experience with Python and relevant ML tools like PyTorch and scikit-learn by working on personal projects or contributing to open-source. This practical experience can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the field of machine learning and data science. Attend meetups or webinars to connect with others who may have insights into the hiring process at companies like ours.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design problems related to machine learning. Being well-prepared will boost your confidence and demonstrate your problem-solving skills effectively.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, cloud-based data processing, and any relevant tools like PyTorch and scikit-learn. Emphasise your track record in delivering scalable ML systems and any work you've done in pricing or simulation-heavy domains.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about machine learning and how your skills align with the company's mission to build decision intelligence software. Mention specific projects or experiences that demonstrate your ability to tackle technical challenges.
Showcase Relevant Projects: If you have worked on projects related to behavioural modelling or decision intelligence, include them in your application. Provide links to your GitHub or portfolio where potential employers can see your work in action.
Highlight Team Collaboration: Since the role involves working closely with Data Scientists, Engineers, and Product teams, mention any previous experiences where you successfully collaborated in a team environment. This will show your ability to thrive in a fast-paced setting.
How to prepare for a job interview at LinuxRecruit
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant libraries like PyTorch and scikit-learn. Bring examples of past projects where you built scalable ML systems, as this will demonstrate your technical prowess.
✨Understand the Business Context
Familiarise yourself with how machine learning impacts commercial decisions, especially in pricing and product strategies. Being able to articulate how your work can influence business outcomes will set you apart.
✨Prepare for Problem-Solving Questions
Expect technical challenges during the interview. Brush up on your problem-solving skills and be ready to tackle real-world scenarios that may involve designing or optimising ML models.
✨Emphasise Collaboration
Highlight your experience working with cross-functional teams, such as Data Scientists and Engineers. Discuss how you’ve successfully collaborated in the past to deliver projects, as teamwork is crucial in this role.
