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- Tasks: Design and deploy machine learning models for real-time personalisation.
- Company: Join Albatross, a cutting-edge AI company transforming user experiences.
- Benefits: Work remotely across Europe with a budget for learning and attending events.
- Why this job: Make an impact in AI by creating scalable ML solutions for real-world applications.
- Qualifications: Bachelor's in Machine Learning or STEM, strong programming skills in Python.
- Other info: Collaborative environment with opportunities for professional growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
At Albatross, we’re building the second pillar of AI: a perception layer that understands how users actually experience content, in real time. Trained on live user interactions, Albatross learns and reasons on the fly. Our technology powers real‑time, in‑session discovery by adapting to evolving user interests. We have raised significant funding and our platform already operates at scale, with billions of events being processed and hundreds of millions of predictions served.
Location: Remote in Europe.
The Role: As a Data Scientist, you will design and deploy machine learning models that power real‑time personalization for our customers. You will own defined workstreams of ML projects end‑to‑end, and you will work closely with applied scientists and engineers to translate product and customer needs into scalable ML solutions. More specifically, you will:
- Design and implement machine learning models for ranking, recommendation, and personalization.
- Define feature engineering pipelines and modeling strategies for customer use cases.
- Train, evaluate, and deploy models using our internal ML tooling and infrastructure.
- Own project workstreams from data preparation through production deployment.
- Collaborate with Applied Scientists to integrate new algorithms into production systems.
- Contribute improvements to internal ML tooling and experimentation infrastructure.
- Monitor model performance and iterate based on real-world feedback.
Requirements:
- Bachelor's degree in Machine Learning or STEM.
- Strong background in machine learning, statistics, or data science.
- Solid programming skills in Python.
- Experience training and deploying ML models in production environments.
- Familiarity with ML frameworks such as PyTorch, TensorFlow, or JAX.
- Experience working with large-scale datasets and feature engineering pipelines.
- Ability to work independently on moderately complex ML problems.
- Strong communication skills in English.
Nice to Have:
- Experience with recommender systems, ranking models, or search.
- Experience with large-scale experimentation and evaluation pipelines.
- Familiarity with learning-to-rank models, bandits, or reinforcement learning.
- Experience working with cloud environments such as AWS, GCP, or Azure.
Benefits:
- Flexibility to work from anywhere across Europe.
- Budget for learning and training, attend events and conferences.
Data Scientist in London employer: Albatross
Contact Detail:
Albatross Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Albatross. 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 showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on your ML knowledge and coding skills. Practice common data science problems and be ready to discuss your past projects in detail.
✨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 Albatross team.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your machine learning projects, programming skills in Python, and any relevant experience with ML frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for our team. Be specific about your experience with real-time personalization and any projects you've led from start to finish.
Showcase Your Projects: If you've worked on interesting ML projects, don’t hesitate to include links to your GitHub or portfolio. We love seeing practical applications of your skills, especially if they relate to ranking, recommendation, or personalization.
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 us you’re keen on joining our team!
How to prepare for a job interview at Albatross
✨Know Your ML Models Inside Out
Make sure you can discuss the machine learning models you've worked with in detail. Be prepared to explain how you designed, trained, and deployed them, as well as any challenges you faced and how you overcame them.
✨Showcase Your Programming Skills
Since solid programming skills in Python are a must, brush up on your coding abilities. You might be asked to solve a problem on the spot, so practice coding exercises related to data manipulation and model implementation.
✨Understand Feature Engineering
Be ready to talk about feature engineering pipelines you've created. Discuss specific examples of how you defined features for customer use cases and the impact they had on model performance.
✨Communicate Clearly and Confidently
Strong communication skills are essential. Practice explaining complex concepts in simple terms, as you'll need to collaborate with applied scientists and engineers. Clear communication can set you apart from other candidates.