At a Glance
- Tasks: Advance machine learning technologies through research and teamwork.
- Company: Dynamic recruitment firm in Greater London with a focus on innovation.
- Benefits: 25 days annual leave, career progression, and hybrid work options.
- Other info: Exciting opportunities for growth in a collaborative environment.
- Why this job: Join a cutting-edge team and shape the future of AI.
- Qualifications: Bachelor's degree and 2+ years in machine learning or AI, proficient in Python.
The predicted salary is between 50000 - 60000 € per year.
A recruitment firm is seeking a Software Engineer for a hybrid role in Greater London. The position focuses on advancing machine learning technologies through research and collaboration with various teams.
Candidates should have:
- A Bachelor's degree in a relevant field
- At least 2 years of experience in machine learning or AI
- Proficiency in Python with frameworks like PyTorch
This role offers opportunities for career progression and 25 days annual leave, among other benefits.
Research Engineer, ML Systems at Scale (Hybrid) employer: Mackin Talent
Join a forward-thinking company in Greater London that prioritises innovation and collaboration in the field of machine learning. With a strong commitment to employee development, you will benefit from ample career progression opportunities, a generous 25 days of annual leave, and a supportive work culture that values teamwork and creativity. This hybrid role not only allows for flexibility but also places you at the forefront of advancing cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer, ML Systems at Scale (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 machine learning projects, especially those using 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. We want you to shine when it’s your turn to impress!
✨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. Let’s get you that Research Engineer role!
We think you need these skills to ace Research Engineer, ML Systems at Scale (Hybrid)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in machine learning and AI. We want to see how you've used Python and frameworks like PyTorch in your previous roles, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific projects or experiences that align with the job description, as it shows us you’re genuinely interested.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and what you can bring to the team.
Apply Through Our Website:We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
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. Be ready to discuss your experience with Python and frameworks like PyTorch, as they’ll likely ask you about specific projects you've worked on.
✨Show Your Collaborative Side
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to advancing technology or solving complex problems.
✨Ask Smart Questions
Prepare thoughtful questions about the company's research focus and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.
✨Practice Problem-Solving
Expect some technical questions or coding challenges during the interview. Practice common machine learning problems and be ready to explain your thought process clearly. This will demonstrate your analytical skills and approach to problem-solving.
