At a Glance
- Tasks: Lead the development of cutting-edge Computer Vision and Machine Learning algorithms.
- Company: Exciting start-up at the forefront of Machine Learning innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Join a dynamic team focused on groundbreaking projects in Machine Learning.
- Why this job: Make a real impact in the industry with state-of-the-art technologies.
- Qualifications: PhD in relevant fields and hands-on experience with programming languages.
The predicted salary is between 50000 - 70000 £ per year.
About the Role
This role will be working as a Machine Learning Scientist leading development of Computer Vision and Machine Learning algorithms and applications. You will be conducting proof-of-concept implementations, prototypes and demos to fine-tune technologies to practical, state-of-the-art systems which will be finding their way to industry. If you are looking for a move into a more industrial focused role, with a growing and highly interesting start-up company at the forefront of Machine Learning apply below.
Key Requirements & Skills
- PhD degree in Computer Science, Engineering, Mathematics or Statistics.
- Publication record within top-tier journals and conferences.
- Hands-on experience with at least one of the following: Python, C/C++, Java, etc. (PyTorch and Tensorflow).
- Prior understanding and experience with Machine Learning algorithms, esp. Deep Reinforcement Learning algorithms.
- Knowledge of Bayesian Statistics is beneficial.
- Understanding of microservices deployment on the cloud is also a big plus (GCP, AWS or Azure).
Machine Learning Scientist employer: European Tech Recruit
Join a dynamic and innovative start-up that is at the cutting edge of Machine Learning and Computer Vision. We foster a collaborative work culture that encourages creativity and professional growth, offering our employees the chance to lead groundbreaking projects while enjoying flexible working arrangements. With a focus on employee development and a commitment to pushing technological boundaries, this is an excellent opportunity for those looking to make a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the Machine Learning field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Computer Vision and Machine Learning. We love seeing practical applications of your work, so make sure to highlight any proof-of-concept implementations you've done.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and coding skills. We recommend practicing with platforms like LeetCode or HackerRank to get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are ready to dive into the world of Machine Learning.
We think you need these skills to ace Machine Learning Scientist
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your hands-on experience with programming languages like Python or C/C++. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise in Machine Learning algorithms!
Tailor Your CV:Customise your CV to reflect the key requirements listed in the job description. We love seeing candidates who take the time to align their experiences with what we’re looking for, especially your publication record and any relevant projects.
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for Machine Learning and Computer Vision, and let us know how your background makes you an ideal candidate for our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures that it gets into the right hands quickly. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at European Tech Recruit
✨Know Your Algorithms
Make sure you brush up on your knowledge of Machine Learning algorithms, especially Deep Reinforcement Learning. Be ready to discuss your past projects and how you've applied these algorithms in real-world scenarios.
✨Showcase Your Coding Skills
Since hands-on experience with Python, C/C++, or Java is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning frameworks like PyTorch and TensorFlow.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your understanding of Bayesian Statistics and microservices deployment. Brush up on these topics and think of examples from your experience that highlight your expertise.
✨Engage with Your Interviewers
Don’t just answer questions; engage with your interviewers. Ask insightful questions about their current projects and how they envision the role evolving. This shows your genuine interest in the company and the position.
