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For Companies At a Glance
- Tasks: Join a dynamic team to design and optimise AI models that shape the future of technology.
- Company: Exciting AI tech start-up in Central London with a flexible working model.
- Benefits: Competitive salary, share options, and a vibrant office space.
- Why this job: Make a real impact on innovative AI solutions that enhance everyday life.
- Qualifications: Degree in Computer Science or Data Science and 2+ years of relevant experience.
- Other info: Collaborate closely with founders and cross-functional teams in a fast-paced environment.
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 employer: R3vamp
Contact Detail:
R3vamp Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨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! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make an impact in the AI field, just like you!
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with neural networks and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience with Python, TensorFlow, and other tools mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and how you can contribute to our start-up's mission. We love seeing candidates who are genuinely excited about the work we do, so let your enthusiasm come through!
Showcase Relevant Projects: If you've worked on any projects involving point cloud datasets or 3D feature extraction, make sure to mention them. We’re looking for practical experience, so including links to your GitHub or portfolio can really help us see your capabilities in action.
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 ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!
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 those involving 3D feature extraction or image processing.
✨Demonstrate Your Start-Up Spirit
Since this is a start-up environment, they’ll want to see your motivation and adaptability. Share experiences that highlight your ability to work in fast-paced settings and collaborate with cross-functional teams. Show them you're not just looking for a job, but a chance to make a real impact.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s vision, the team dynamics, and their current projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values. Plus, it gives you a chance to engage with the interviewers!
