At a Glance
- Tasks: Conduct groundbreaking research in machine learning systems and collaborate with diverse teams.
- Company: Leading recruitment agency based in Kings Cross, London.
- Benefits: 25 days annual leave, hybrid work model, and potential for contract extension.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Over two years of experience in AI or machine learning and strong Python skills.
The predicted salary is between 45000 - 55000 € per year.
A leading recruitment agency is seeking a Software Engineer for a hybrid role in Kings Cross, London. The successful candidate will undertake cutting-edge research in machine learning systems, collaborating closely with cross-functional partners.
Candidates should have:
- Over two years of experience in AI or machine learning
- Strong programming skills in Python
- A Bachelor's degree in a relevant field
The role offers a six-month contract with possibilities for extension and attractive benefits including 25 days of annual leave.
Research Software Engineer, ML Systems (6m Hybrid) employer: Mackin Talent
Join a dynamic and innovative team in Kings Cross, London, where you will be at the forefront of machine learning research. Our collaborative work culture fosters creativity and professional growth, offering extensive opportunities for skill development and career advancement. With attractive benefits such as 25 days of annual leave and a supportive environment, we are committed to making your experience both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Research Software Engineer, ML Systems (6m Hybrid)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work in machine learning. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in AI and machine learning. This is your chance to demonstrate your programming prowess in Python and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to machine learning and be ready to discuss your past experiences in detail.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications with us.
We think you need these skills to ace Research Software Engineer, ML Systems (6m Hybrid)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and machine learning. We want to see how your skills in Python and relevant projects align with the role, so don’t hold back on showcasing your best work!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about research in machine learning systems and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Relevant Projects:If you've worked on any cool projects related to machine learning, make sure to mention them! We’re keen to see practical examples of your work, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Mackin Talent
✨Know Your ML Systems
Make sure you brush up on the latest trends and technologies in machine learning systems. Be prepared to discuss your previous projects and how they relate to the role, showcasing your understanding of AI concepts and their practical applications.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand to feel confident during the interview.
✨Collaborate Like a Pro
This role involves working closely with cross-functional partners, so highlight your teamwork experience. Share examples of how you've successfully collaborated with others in past projects, focusing on communication and problem-solving skills.
✨Prepare Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s research focus, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
