At a Glance
- Tasks: Lead innovative AI projects and optimise cutting-edge algorithms.
- Company: International semiconductor company at the forefront of technology.
- Benefits: Competitive salary, career growth, and a dynamic work environment.
- Other info: Collaborate with top researchers in a fast-paced, exciting field.
- Why this job: Make a real impact in AI and machine learning research.
- Qualifications: MSc in Computer Science and experience with machine learning algorithms.
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 daniel@microtech-global.com
Artificial Intelligence Engineer employer: microTECH Global LTD
As an 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 access to cutting-edge technology and research opportunities, along with comprehensive benefits and professional development programmes designed to support your growth in the rapidly evolving field of artificial intelligence. Join us to be part of a team that values your contributions and is committed to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 interviews by brushing up on technical questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team!
We think you need these skills to ace Artificial Intelligence Engineer
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 job description, so don’t be shy about showcasing relevant projects or technologies you've worked with!
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 the role. We love seeing enthusiasm and a personal touch!
Showcase Your Technical Skills:Since this role requires advanced programming skills, make sure to mention your proficiency in languages like Python or C++. If you’ve worked with deep learning frameworks, give us the details – we want to know what you can 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 don’t miss out on any important updates from 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 tackled challenges in scalability and robustness. This will show your depth of understanding and practical experience.
✨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 related to AI and machine learning beforehand.
✨Familiarise with Deep Learning Frameworks
Make sure you’re comfortable discussing deep learning frameworks such as TensorFlow, PyTorch, or JAX. Be prepared to explain how you've used these tools in past projects and how they relate to the role you're applying for.
✨Align with Research Objectives
Understand the importance of coordinating engineering work with research objectives. Think of examples where you've successfully collaborated with researchers or cross-functional teams to achieve project goals, as this will highlight your teamwork and communication skills.
