At a Glance
- Tasks: Lead innovative projects in AI and machine learning, optimising algorithms for real-world applications.
- Company: Join a global semiconductor company at the forefront of technology.
- Benefits: Enjoy a competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic work environment with excellent career advancement opportunities.
- Why this job: Make a significant impact in AI research while collaborating with top experts in the field.
- Qualifications: MSc in Computer Science and experience with machine learning algorithms required.
The predicted salary is between 60000 - 80000 £ per year.
Location: London or Cambridge, UK
Type: Permanent
Our client is an international semiconductor company.
Responsibilities:
- Lead engineering efforts on complex research projects in machine learning and artificial intelligence
- Optimize algorithms and ensure the scalability and robustness of research prototypes and systems
- Coordinate closely with researchers to align engineering work with research objectives and project goals
Requirements:
- MSc in Computer Science or related subject
- Extensive experience researching machine learning algorithms and systems
- Advanced proficiency in programming languages such as Python, C++, or similar
- Experience with optimization, reinforcement learning, and/or large language models (LLMs)
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch, JAX)
- Experience with scalable system design and deployment in research or production environments
- Exposure to chip design or applied AI research
If this sounds like it could be of interest, please apply below or reach out to.
Remote Engineer:in (m/w/d) in Cambridge employer: microTECH Global LTD
As a leading international semiconductor company, we pride ourselves on fostering a dynamic and innovative work culture that encourages collaboration and creativity. Our London and Cambridge locations offer exceptional employee growth opportunities, including access to cutting-edge research projects in AI and machine learning, alongside competitive benefits and a commitment to work-life balance. Join us to be part of a forward-thinking team where your contributions will directly impact the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Engineer:in (m/w/d) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to algorithms and programming languages like Python and C++. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, we love seeing applications from passionate candidates like you!
We think you need these skills to ace Remote Engineer:in (m/w/d) in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your MSc in Computer Science and any relevant projects or roles that showcase your expertise in machine learning and AI.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background aligns with our needs. Share specific examples of your work with algorithms, programming languages, and frameworks like TensorFlow or PyTorch.
Showcase Your Projects:If you've worked on any interesting research projects or prototypes, make sure to mention them! We love seeing real-world applications of your skills, especially in scalable system design or optimization.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at microTECH Global LTD
✨Know Your Algorithms
Make sure you brush up on your machine learning algorithms and systems. Be ready to discuss your experience with optimisation, reinforcement learning, and large language models. Having specific examples from your past work will really help you stand out.
✨Showcase Your Programming Skills
Since advanced proficiency in languages like Python and C++ is key, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.
✨Familiarise Yourself with Deep Learning Frameworks
Get comfortable with frameworks like TensorFlow, PyTorch, or JAX. You could be asked about your experience using these tools, so having a project or two to reference can show your hands-on expertise.
✨Align with Research Objectives
Understand how engineering aligns with research goals. Be ready to discuss how you've coordinated with researchers in the past and how you can contribute to aligning engineering efforts with project objectives in this role.
