At a Glance
- Tasks: Advance machine learning and AI technologies through cutting-edge research and teamwork.
- Company: Leading AI research firm located in King's Cross, London.
- Benefits: Career progression opportunities, generous leave policies, and a hybrid work model.
- Other info: Exciting environment with opportunities for innovation and growth.
- 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 - 72000 £ 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 dynamic team at the forefront of the gaming industry in London, where as a Strategic Partner Manager, you will have the opportunity to cultivate meaningful relationships with key developers and drive innovation on Meta's gaming platforms. With a competitive salary, comprehensive healthcare contributions, and a commitment to employee growth, this role offers a vibrant work culture that values collaboration and creativity, ensuring you thrive in a fast-paced environment while enjoying a healthy work-life balance through hybrid working arrangements.
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 community, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those using Python and PyTorch. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for the interview by brushing up on the latest trends in AI research. Being able to discuss recent advancements shows your passion and keeps you ahead of the game. Plus, it makes for great conversation starters!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
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.
Highlight Relevant Experience:Make sure to detail your experience in machine learning, especially any projects or roles where you used Python and frameworks like PyTorch. We love seeing how your background aligns with what we do!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. It shows us you’re serious about this role.
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 don’t miss out on any important updates from our team!
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 ML techniques, especially using Python and frameworks like PyTorch.
✨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.
