At a Glance
- Tasks: Deploy and optimise machine learning models on edge devices with cutting-edge AI tech.
- Company: Join a pioneering AI technology company leading the way in on-device AI.
- Benefits: Earn up to £500 per day, fully remote work, and a dynamic project environment.
- Other info: Initial 6-month term with opportunities for growth in a fast-paced industry.
- Why this job: Be at the forefront of AI innovation and make a real impact in tech.
- Qualifications: Strong C++ skills and experience with deep learning and model deployment.
The predicted salary is between 50000 - 65000 £ per year.
I'm working with a cutting-edge AI technology company who are looking for a talented engineer to join their team at the forefront of on-device AI. You'll be working deep in the runtime layer, porting and optimising inference engines to run efficiently on edge hardware.
What You'll Do
- Deploy and optimise machine learning models to edge devices using industry-standard inference frameworks
- Work closely with researchers to help transition models from research into production-ready deployments
- Integrate AI capabilities into existing products, keeping pace with the latest advancements in machine learning
What They're Looking For
- Strong C++ programming skills
- Hands-on experience with open-source inference engines and model deployment
- Solid understanding of deep learning concepts and model architectures
- Experience working with large language models and transformer-based architectures
- A proven ability to pick up new technologies quickly
- A degree in Computer Science, AI, Machine Learning, or a related discipline, with a track record in AI R&D
Key detail: Up to £500.00 per day Outside IR35, 6 months initial term, Fully remote (Europe).
Apply now or reach out directly to find out more. Due to the high volume of applications, not all applicants will receive a response.
Generative AI Engineer in Crawley employer: Formula.
Join a pioneering AI technology company that champions innovation and creativity, offering a fully remote work environment across Europe. With a strong focus on employee growth, you will have the opportunity to collaborate with leading researchers and enhance your skills in cutting-edge AI applications. Enjoy competitive compensation and the flexibility of working from anywhere, making this an ideal place for those seeking meaningful and rewarding employment in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Engineer in Crawley
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space on LinkedIn or at industry events. 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 C++ and deep learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of inference engines and model deployment. Practice coding challenges and be ready to discuss your experience with large language models and transformer architectures.
✨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 hearing from passionate candidates who are eager to join the cutting-edge world of AI.
We think you need these skills to ace Generative AI Engineer in Crawley
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong C++ programming skills and experience with open-source inference engines. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your experience with large language models and deep learning concepts makes you a perfect fit for our team.
Showcase Your Projects:If you've worked on any cool projects related to AI or machine learning, make sure to mention them! We love seeing practical applications of your skills, especially if they involve transitioning models from research to production.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our cutting-edge team!
How to prepare for a job interview at Formula.
✨Know Your Tech Inside Out
Make sure you brush up on your C++ programming skills and get familiar with the open-source inference engines mentioned in the job description. Be ready to discuss specific projects where you've deployed machine learning models, as this will show your hands-on experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced while optimising AI models for edge devices. Think of examples where you had to troubleshoot or innovate solutions, as this will demonstrate your ability to pick up new technologies quickly.
✨Stay Updated on AI Trends
Since the role involves integrating the latest advancements in machine learning, make sure you're aware of current trends and breakthroughs in AI. This could include recent developments in large language models or transformer architectures, which will impress your interviewers.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's projects or their approach to AI. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
