At a Glance
- Tasks: Join a small team to design and optimise AI models and neural networks.
- Company: Exciting AI tech start-up in Central London with a flexible working model.
- Benefits: Competitive salary, share options, and a vibrant office space.
- Other info: Collaborate with founders and cross-functional teams in a dynamic environment.
- Why this job: Make a real impact on technology that enhances everyday life.
- Qualifications: Degree in Computer Science or related field and 2+ years of experience.
The predicted salary is between 36000 - 60000 £ per year.
Overview: I am working with an AI Tech Start-Up developing AI solutions for engineering benefits, looking for an AI Machine Learning Engineer. The client is based in London with a flexible working model and a new office space in Central London. They are hiring to collaborate with the founders and other teams 2-3 days a week. Alongside a competitive salary, there is an opportunity to receive shares in a growing start-up focused on delivery technology to impact everyday life.
Responsibilities: As the AI Machine Learning Engineer, you will join a small team where you can have a large impact on the overall development of the company’s software and AI models, and help shape the future of this deep-tech software. You will be involved in and hands-on with designing, training, and optimising neural networks, particularly CNNs. You will be responsible for handling and preprocessing large-scale point cloud datasets and high-resolution images, while also managing 3D feature extraction, denoising, and registration techniques for point cloud data.
Qualifications:
- Degree in Computer Science, Data Science, or similar from a Russell Group University
- 2+ years of industry or research experience with Neural Networks, preferably CNNs
- Strong hands-on experience using Python, TensorFlow, PyTorch, Open3D, NumPy
- Experience with handling large-scale point cloud datasets
- Experience in 3D features and image processing
- Experience in AWS, GCP or Azure
Other Key Skills:
- Strong motivation and desire to work in a start-up environment
- Interest in computer science and engineering problem-solving
- Experience working with cross-functional teams
You must be based in the UK without the need for sponsorship for this position.
How to apply: If you are interested in applying for this role and would like to understand more about my client, please get in touch with josh@r3vamp.co.uk.
Machine Learning Engineer in London employer: R3vamp
Join a dynamic AI Tech Start-Up in Central London, where innovation meets flexibility. With a collaborative work culture and the chance to directly influence cutting-edge AI solutions, you'll enjoy a competitive salary, share options, and the opportunity for significant personal and professional growth in a vibrant environment. This is not just a job; it's a chance to be part of something transformative in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at start-ups. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving neural networks and point cloud datasets. 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 problem-solving skills. Be ready to discuss your experience with Python, TensorFlow, and other tools mentioned in the job description. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers who are looking for talent like yours!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with neural networks, especially CNNs, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our start-up. We love seeing enthusiasm and a bit of personality, so don’t hold back!
Showcase Your Projects:If you've worked on any cool projects involving Python, TensorFlow, or point cloud datasets, make sure to mention them. We’re keen to see your hands-on experience, so include links to your GitHub or portfolio if you have one!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at R3vamp
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of neural networks, especially CNNs. Be ready to discuss your hands-on experience with Python, TensorFlow, and PyTorch. Prepare to explain how you've handled large-scale datasets and any specific projects you've worked on that relate to the job.
✨Show Your Problem-Solving Skills
This role is all about engineering solutions, so be prepared to showcase your problem-solving abilities. Think of examples where you've tackled complex challenges in your previous roles or projects, particularly in 3D feature extraction or image processing.
✨Get Familiar with the Company Culture
Since this is a start-up environment, it’s crucial to demonstrate your motivation and adaptability. Research the company’s mission and values, and think about how your personal goals align with theirs. This will show that you're not just looking for a job, but a place where you can grow and contribute.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the technology stack they use, and their vision for the future. This not only shows your interest but also helps you gauge if this is the right fit for you.
