At a Glance
- Tasks: Advance machine learning and AI technologies through cutting-edge research and teamwork.
- Company: Leading AI research firm located in vibrant King's Cross, London.
- Benefits: Career progression opportunities, generous leave policies, and a hybrid work model.
- Other info: Dynamic and innovative environment with a focus on collaboration.
- Why this job: Join a passionate team and shape the future of AI technology.
- Qualifications: 2+ years in machine learning, Bachelor's in a technical field, and Python proficiency.
The predicted salary is between 60000 - 80000 € per year.
A leading AI research firm is seeking a passionate Software Engineer for a hybrid role in King's Cross, London. The position focuses on advancing machine learning and AI technologies, with responsibilities including conducting cutting-edge research and collaborating with cross-functional teams.
Candidates should have at least 2 years of experience in machine learning, a Bachelor's in a technical field, and proficiency in Python and frameworks like PyTorch.
Attractive benefits include a potential for career progression and generous leave policies.
ML Systems Research Engineer (Hybrid) - London employer: Mackin Talent
Join a pioneering AI research firm in the vibrant King's Cross area of London, where innovation meets collaboration. With a strong emphasis on employee growth, we offer extensive career progression opportunities and a supportive work culture that values creativity and teamwork. Enjoy generous leave policies and the chance to work on groundbreaking machine learning projects that make a real impact.
StudySmarter Expert Advice🤫
We think this is how you could land ML Systems Research Engineer (Hybrid) - London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common ML interview questions and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace ML Systems Research Engineer (Hybrid) - London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for machine learning and AI shine through. We want to see that you’re not just qualified, but genuinely excited about advancing these technologies!
Tailor Your Experience:Make sure to highlight your relevant experience in machine learning and Python. We’re looking for at least 2 years of hands-on work, so be specific about your projects and the impact they had.
Collaborate in Your Writing:Since this role involves working with cross-functional teams, mention any collaborative projects you've been part of. We love to see how you’ve worked with others to achieve common goals!
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 get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Mackin Talent
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and recent advancements in AI. Be ready to discuss your past projects and how you've applied Python and frameworks like PyTorch in real-world scenarios.
✨Show Your Collaborative Spirit
Since the role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Research the Company
Dive into the company's recent research papers or projects. Understanding their focus areas will not only help you answer questions but also allow you to ask insightful questions that show your genuine interest in their work.
✨Prepare for Technical Questions
Expect some technical challenges during the interview. Practice coding problems related to machine learning and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
