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- Tasks: Tackle cutting-edge machine learning problems with innovative solutions and collaborative research.
- Company: Join a forward-thinking team at the forefront of quantitative research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic environment with exciting projects and career advancement potential.
- Why this job: Make a real impact by solving tough research questions in machine learning.
- Qualifications: Experience in machine learning and a passion for research and innovation.
The predicted salary is between 43200 - 72000 £ per year.
We are looking for exceptional machine learning engineers to work alongside our quantitative researchers on cutting-edge machine learning problems. As a member of the Core Technical Machine Learning team, you will be engaged in a mixture of individual and collaborative work to tackle some of the toughest research questions. In this role, you will use a combination of off-the-shelf tools and custom solutions written from scratch to drive the latest advances in quantitative research.
Past Projects:
- Implementing ideas from a recently published research paper
- Writing custom libraries for efficiently training on petabytes of data
- Reducing model training times by hand optimising machine learning operations
- Profiling custom ML architectures to identify performance bottlenecks
- Evaluating the latest hardware and software in the machine learning ecosystem
Machine Learning Engineer in London employer: Europython
Contact Detail:
Europython 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 current machine learning engineers on LinkedIn or at meetups. We can learn so much from their experiences and maybe even get a foot in the door.
✨Tip Number 2
Show off your projects! Whether it's a GitHub repo or a personal website, we should showcase our work. Highlight any custom libraries or unique solutions we've developed to grab attention.
✨Tip Number 3
Prepare for technical interviews by practising coding challenges and ML concepts. We can use platforms like LeetCode or HackerRank to sharpen our skills and boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have insider tips and updates on the hiring process that can give you an edge.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Show Your Passion for Machine Learning: When writing your application, let us see your enthusiasm for machine learning! Share any personal projects or research you've done that relate to the role. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for this specific role. Highlight relevant experience and skills that align with the job description. We want to see how you can contribute to our team, so make it clear!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it's necessary. We appreciate a well-structured application that makes it easy for us to understand your qualifications.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end.
How to prepare for a job interview at Europython
✨Know Your ML Fundamentals
Brush up on your machine learning fundamentals before the interview. Be prepared to discuss key concepts, algorithms, and recent advancements in the field. This will show that you’re not just familiar with the tools but also understand the underlying principles.
✨Showcase Your Projects
Bring examples of your past projects, especially those involving custom solutions or optimisations. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This demonstrates your hands-on experience and problem-solving skills.
✨Collaborative Mindset
Since the role involves working alongside quantitative researchers, highlight your ability to collaborate effectively. Share experiences where you’ve worked in teams, tackled complex problems together, and how you value diverse perspectives in achieving results.
✨Stay Updated on Trends
Familiarise yourself with the latest trends in the machine learning ecosystem, including new hardware and software. Being able to discuss these developments shows your passion for the field and your commitment to continuous learning, which is crucial for a role focused on cutting-edge research.