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- Tasks: Enhance task-similarity algorithms and design experiments in a collaborative team.
- Company: Forward-thinking AI company based in the UK with a focus on innovation.
- Benefits: Generous compensation, remote work options, and personal growth opportunities.
- Why this job: Join a cutting-edge team and tackle complex problems in AI research.
- Qualifications: Strong skills in deep learning, Python programming, and a research-oriented mindset.
- Other info: Exciting role with potential for significant impact and career advancement.
The predicted salary is between 48000 - 72000 £ per year.
A forward-thinking AI company in the UK is seeking an ML Engineer to enhance task-similarity algorithms in the Mapper team. This role requires strong technical skills in deep learning and Python programming, as well as a researcher mindset for solving complex problems.
You will design experiments, document findings, and collaborate with cross-functional teams. The role offers generous compensation, remote work options, and opportunities for personal growth and development.
Lead ML Engineer (CV/Research) - Remote + Equity in London employer: Mimica Announce Strategic Partnership
Contact Detail:
Mimica Announce Strategic Partnership Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead ML Engineer (CV/Research) - Remote + Equity in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and ML space, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to deep learning and task-similarity algorithms. This will not only demonstrate your technical prowess but also your passion for the field.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Think about how you would approach complex challenges in ML and be ready to discuss your thought process. We want to see that researcher mindset in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead ML Engineer (CV/Research) - Remote + Equity in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical skills in deep learning and Python programming. We want to see how you can enhance our task-similarity algorithms, so don’t hold back on showcasing your expertise!
Be a Problem Solver: We’re looking for a researcher mindset, so include examples of how you've tackled complex problems in the past. Share your thought process and the experiments you've designed to find solutions.
Collaborate Like a Pro: Since this role involves working with cross-functional teams, mention any collaborative projects you've been part of. We love seeing how you communicate and work with others to achieve common goals.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Mimica Announce Strategic Partnership
✨Know Your Algorithms
Make sure you brush up on task-similarity algorithms and deep learning concepts. Be ready to discuss your previous projects and how you applied these techniques. This will show that you not only understand the theory but can also implement it in practice.
✨Showcase Your Python Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with libraries commonly used in ML, like TensorFlow or PyTorch.
✨Think Like a Researcher
This role requires a researcher mindset, so be prepared to discuss how you approach problem-solving. Share examples of experiments you've designed, what findings you documented, and how you collaborated with others. This will highlight your analytical skills and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the Mapper team's current projects or the company’s vision for AI development. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
