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- Tasks: Lead the development of cutting-edge machine learning models and algorithms.
- Company: Innovative tech firm in London focused on machine learning and hardware integration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a pioneering team and shape the future of machine learning technology.
- Qualifications: Proven experience in developing novel algorithms and a strong mathematical background.
- Other info: Collaborative environment with exciting projects and career advancement potential.
The predicted salary is between 60000 - 80000 £ per year.
As a Machine Learning Engineer, you will take the lead on optimising the functionality, performance, and algorithmic engineering powering our machine learning models. This is a critical role for a hands‑on expert who can deliver state of the art models, set the standard for performance, and ensure our models are accurate, robust, efficient and scalable.
What you’ll do:
- Lead the development and refinement of novel machine learning architectures and algorithms harnessing our nonlinear dynamics.
- Building deeper network architectures that maximise efficiency and performance.
- Design, build and test models both on device and using in‑house simulation framework.
- Collaborate closely with the wider photonics and hardware team to design and evaluate general metrics to assess the computational properties of the hardware and optimise for computational performance.
- Research state‑of‑the‑art machine learning & machine vision techniques and adapt them to be compatible with our hardware.
Experience:
- Proven track record of developing novel algorithms (papers in NeurIPS, ICML, ICLR, CVPR, or Nature/Science journals).
- Hardware Aware ML / Neuromorphic Computing: FPGAs, ASICs, analog computing chips, spiking neural network (hardware), edge AI.
- Unconventional training algorithms: Reservoir computing, self‑contrastive learning, forward‑forward learning, evolutionary algorithms, equilibrium propagation.
- Physics informed neural networks, or applied ML to physics problems.
- Deep understanding of mathematics, algebra / topology - key words are latent space, intrinsic dimensionality.
- Experience working with hardware as well is a bonus.
Machine Learning Researcher - London employer: microTECH Global Limited
Contact Detail:
microTECH Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher - London
✨Tip Number 1
Network like a pro! Attend meetups, conferences, or workshops related to machine learning. It's a great way to connect with industry experts and potential employers who might be looking for someone just like you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving novel algorithms or hardware-aware ML. This will give you an edge and demonstrate your hands-on expertise to potential employers.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each job. Research the company’s work in machine learning and mention how your experience aligns with their projects when you reach out or during interviews.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative. Plus, it gives you a better chance of being noticed by our hiring team. So, don’t hesitate – get your application in!
We think you need these skills to ace Machine Learning Researcher - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Researcher role. Highlight your experience with novel algorithms and any relevant publications. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background makes you a perfect fit for us. Don’t forget to mention any hands-on experience with hardware!
Showcase Your Projects: If you've worked on any cool projects, especially those involving unconventional training algorithms or hardware-aware ML, make sure to include them. We love seeing practical applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at microTECH Global Limited
✨Know Your Algorithms
Brush up on the latest machine learning algorithms and architectures, especially those relevant to nonlinear dynamics. Be ready to discuss your past work and how it aligns with the company's needs, showcasing your understanding of cutting-edge techniques.
✨Showcase Your Research
Prepare to talk about your published papers and any novel algorithms you've developed. Highlight your contributions to conferences like NeurIPS or ICML, and be ready to explain complex concepts in a way that demonstrates your deep understanding of the subject.
✨Collaborate Like a Pro
Since collaboration is key, think of examples where you’ve worked closely with hardware teams or other departments. Be prepared to discuss how you can bridge the gap between machine learning and hardware, optimising performance and efficiency.
✨Get Hands-On with Hardware
If you have experience with hardware-aware ML or neuromorphic computing, make sure to highlight it. Discuss any projects involving FPGAs or ASICs, and how you’ve adapted machine learning techniques to work effectively with these technologies.