At a Glance
- Tasks: Lead cutting-edge AI projects and optimise machine learning algorithms.
- Company: International semiconductor company at the forefront of technology.
- Benefits: Permanent position with competitive salary and remote work options.
- Other info: Dynamic research environment with opportunities for innovation and growth.
- Why this job: Join a team shaping the future of AI and machine learning.
- Qualifications: MSc in Computer Science and experience with machine learning systems.
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 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 employees the chance to engage in cutting-edge research while benefiting from professional development opportunities and a supportive environment that values work-life balance. Join us to be part of a team that is at the forefront of AI technology, where your contributions will have a meaningful impact on the future of the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Remote engineer in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow engineers on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms and system design. Practice coding challenges on platforms like LeetCode or HackerRank. We all know that nailing the technical part is crucial for landing that remote engineer role!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with machine learning and AI. We want to see how your skills align with the responsibilities listed in the job description, so don’t be shy about showcasing relevant projects!
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 your background makes you a perfect fit for our team. We love hearing personal stories that connect your experience to the role.
Showcase Your Technical Skills:When listing your programming languages and frameworks, be specific! Mention your proficiency in Python, C++, or any deep learning frameworks you've worked with. We want to know exactly what tools you bring to the table.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at microTECH Global LTD
✨Know Your Algorithms
Brush up on your knowledge of machine learning algorithms and systems. Be ready to discuss specific projects where you've optimised algorithms or worked with reinforcement learning. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Coding Skills
Since advanced proficiency in programming languages like Python and C++ is crucial, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Familiarise with Deep Learning Frameworks
Make sure you're comfortable discussing deep learning frameworks such as TensorFlow or PyTorch. If you've used them in past projects, be ready to share specific examples of how you implemented them and the impact they had on your work.
✨Align with Research Objectives
Understand the importance of coordinating engineering efforts with research goals. Prepare to discuss how you've successfully collaborated with researchers in the past and how you can ensure that engineering work aligns with project objectives in this role.
