At a Glance
- Tasks: Research and develop machine learning tools for advanced chip design verification.
- Company: Dynamic deep-tech startup focused on transforming integrated circuit verification.
- Benefits: Competitive salary, bonuses, equity, and flexible remote/hybrid work options.
- Other info: Join a small, senior team where your contributions are valued and visible.
- Why this job: Make a real impact in silicon with high autonomy and direct customer feedback.
- Qualifications: PhD in Machine Learning, strong Python skills, and experience in dynamic systems modelling.
The predicted salary is between 60000 - 80000 £ per year.
I’m working with a deep‑tech startup specialising in machine learning, building next‑generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk — giving chip design teams a step‑change in capability. This is a high‑impact opportunity for a Machine Learning Researcher who wants high‑autonomy and for their research to matter in silicon.
What They’re Looking For
- Degree in Physics/Engineering/Electronics and a PhD in Machine Learning
- Strong Python + PyTorch/JAX skills
- Publication record in ML or EDA venues
- Ability to move between research and implementation
- Clear communication across ML and circuit‑design audiences
- Experience modelling dynamic systems
- Familiarity with SPICE data and analogue circuits
- Knowledge of behavioural modelling languages or EDA tools
- Startup or applied‑research experience
Why Consider It
- Competitive salary, bonus, and meaningful equity
- Flexible remote/hybrid working with London/Cambridge/Oxford bases
- Direct access to real customers testing your models on real silicon
- Small, senior team where your work ships and has visible impact
Please contact Chris Amison for more information.
Machine Learning Researcher in London employer: IC Resources
Join a pioneering deep-tech startup that is at the forefront of machine learning innovation, where your contributions as a Machine Learning Researcher will directly influence the future of integrated circuit verification. Enjoy a competitive salary, flexible remote/hybrid working options from vibrant locations like London, Cambridge, or Oxford, and be part of a small, senior team that values high autonomy and impactful work. With opportunities for professional growth and direct engagement with real customers, this role offers a unique chance to see your research come to life in silicon.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Researcher in London
✨Tip Number 1
Network like a pro! Reach out to folks in the machine learning and semiconductor space. Attend meetups, webinars, or even just connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PyTorch/JAX. This is your chance to demonstrate your ability to move between research and implementation, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex ML concepts to circuit-design audiences, so practice breaking down your research into simple terms. It’s all about making your work relatable!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it gives us a chance to see your application in the best light possible. Let’s get you that high-impact opportunity!
We think you need these skills to ace Machine Learning Researcher in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your degree in Physics/Engineering/Electronics and your PhD in Machine Learning. We want to see your strong Python and PyTorch/JAX skills front and centre, so don’t hold back on showcasing those!
Show Off Your Publications:If you've got a publication record in ML or EDA venues, make it known! This is your chance to demonstrate your expertise and how your research can translate into real-world applications, which is super important for us.
Communicate Clearly:We’re looking for someone who can bridge the gap between ML and circuit design. Use your application to show us how you can communicate complex ideas clearly to different audiences. It’s all about making your research matter in silicon!
Apply Through Our Website:Don’t forget to apply 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, we love seeing candidates who take that extra step!
How to prepare for a job interview at IC Resources
✨Know Your Stuff
Make sure you brush up on your Python and PyTorch/JAX skills. Be ready to discuss your previous projects and how they relate to machine learning in integrated circuits. Having a solid grasp of the technical details will show that you're not just a theorist but someone who can implement solutions.
✨Showcase Your Research
Prepare to talk about your publication record and any relevant research you've done in ML or EDA venues. Highlight how your work has contributed to the field and be ready to explain complex concepts in a way that both ML and circuit-design audiences can understand.
✨Communicate Clearly
Practice explaining your ideas and findings clearly and concisely. Since this role requires clear communication across different technical backgrounds, think about how you can tailor your explanations to suit various audiences. This will demonstrate your ability to bridge the gap between research and implementation.
✨Understand the Startup Culture
Familiarise yourself with the startup environment and be prepared to discuss how you can thrive in a high-autonomy setting. Share examples from your past experiences where you've taken initiative or adapted quickly to changes, as this will resonate well with the team looking for someone who can make an impact.
