At a Glance
- Tasks: Lead the development of cutting-edge Machine Learning and Computer Vision 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 passionate team and work on state-of-the-art technologies.
- Why this job: Make a real impact in a dynamic industry with your expertise in Machine Learning.
- Qualifications: PhD in relevant fields and hands-on experience with programming languages and ML algorithms.
The predicted salary is between 60000 - 80000 £ 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 in London employer: European Tech Recruit
Join a dynamic start-up at the cutting edge of Machine Learning, where innovation meets collaboration. Our vibrant work culture fosters creativity and encourages professional growth, offering you the chance to lead impactful projects in Computer Vision and Machine Learning. With access to state-of-the-art resources and a supportive team, you'll thrive in an environment that values your expertise and contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Computer Vision and Machine Learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and coding skills. Practice common interview questions related to Python, C/C++, and frameworks like PyTorch and TensorFlow. We’ve got your back with resources to help you ace those interviews!
✨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 are proactive about their job search!
We think you need these skills to ace Machine Learning Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in Machine Learning and Computer Vision. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD and any publications you've got!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how your background makes you a perfect fit. We love seeing passion for the field, so let that enthusiasm come through.
Showcase Your Projects:If you've worked on any cool projects or prototypes, make sure to mention them! We’re keen to see your hands-on experience with Python, C/C++, or Java, especially if you’ve used PyTorch or TensorFlow in your work.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the updates. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at European Tech Recruit
✨Know Your Algorithms
Brush up on your knowledge of Machine Learning algorithms, especially Deep Reinforcement Learning. Be ready to discuss your past projects and how you applied these algorithms in practical scenarios. This will show your depth of understanding and hands-on experience.
✨Showcase Your Coding Skills
Since the role requires proficiency in languages like Python, C/C++, or Java, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Prepare for Technical Questions
Expect technical questions related to Computer Vision and Machine Learning. Review your publication record and be ready to explain your research in layman's terms. This will help interviewers gauge your ability to communicate complex ideas effectively.
✨Understand Cloud Deployment
Familiarise yourself with microservices deployment on cloud platforms like GCP, AWS, or Azure. Be prepared to discuss how you would approach deploying a Machine Learning model in a cloud environment, as this knowledge is a big plus for the role.
