Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop AI models and algorithms for next-gen products and solve real-world problems.
- Company: Join a fast-paced, cutting-edge startup focused on innovation and collaboration.
- Benefits: Enjoy a competitive salary, equity options, and a dynamic work environment.
- Why this job: Make an impact in the AI field while working with passionate engineers and industry leaders.
- Qualifications: Strong skills in AI/ML frameworks, Python, and a degree from a top-tier university.
- Other info: Ready to shape the future of AI? Apply now!
The predicted salary is between 43200 - 72000 £ per year.
🚀 Join the Future of AI! 🚀
Are you an AI Engineer ready to make an impact at a fast-paced, cutting-edge startup? We’re seeking a talented, innovative individual to join our client’s growing team, where creativity and collaboration drive success!
What you’ll do:
- Develop AI models and algorithms that power next-gen products
- Design, develop, and implement intelligent agents
- Solve real-world problems with cutting-edge machine learning techniques
- Collaborate with passionate engineers and industry leaders
What you bring:
- Strong skills in AI/ML frameworks (TensorFlow, PyTorch, etc.)
- Strong NLP Experience
- Expertise in Python, data analysis, and model deployment
- A passion for innovation and tackling big challenges
- A BSc/MSc from a Top Tier University in Comp Sci, Engineering, or related field (Physics, Math, etc.)
Why join us?
- Work in a dynamic, fast-paced environment
- Shape the future of AI and tech
- Competitive salary & equity in a high-growth startup
Ready to make an impact? Apply now and shape the future with us! 🌟
AI Engineer employer: Arrows
Contact Detail:
Arrows Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarize yourself with the latest advancements in AI and machine learning. Follow industry leaders on social media, read relevant research papers, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for innovation.
✨Tip Number 2
Engage in projects that showcase your skills in AI/ML frameworks like TensorFlow and PyTorch. Contributing to open-source projects or building your own applications can provide you with practical experience and tangible results to discuss during your interview.
✨Tip Number 3
Network with professionals in the AI field. Attend meetups, webinars, or conferences to connect with like-minded individuals and industry experts. These connections can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 4
Prepare to discuss real-world problems you've solved using machine learning techniques. Be ready to share specific examples of how you've applied your skills in previous projects or academic work, as this will highlight your problem-solving abilities and creativity.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your strong skills in AI/ML frameworks like TensorFlow and PyTorch. Mention any specific projects or experiences that showcase your expertise in these areas.
Showcase Your Passion: Express your passion for innovation and tackling big challenges in your application. Share examples of how you've approached complex problems in the past, particularly in AI and machine learning.
Tailor Your CV: Customize your CV to align with the job description. Focus on your experience with NLP, Python, data analysis, and model deployment. Use keywords from the job listing to make your application stand out.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Discuss why you want to join this startup and how your background makes you a perfect fit for their team.
How to prepare for a job interview at Arrows
✨Showcase Your AI/ML Skills
Be prepared to discuss your experience with AI/ML frameworks like TensorFlow and PyTorch. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Highlight Your NLP Experience
Since strong NLP experience is a key requirement, be ready to talk about specific challenges you've faced in natural language processing. Discuss the techniques you used and the outcomes of your projects to showcase your problem-solving skills.
✨Demonstrate Your Passion for Innovation
Share your thoughts on the future of AI and how you envision contributing to it. Companies are looking for candidates who are not just skilled but also passionate about pushing boundaries and tackling big challenges.
✨Prepare for Technical Questions
Expect technical questions related to data analysis, model deployment, and Python programming. Brush up on your knowledge and be ready to solve problems on the spot, as this will reflect your ability to think critically under pressure.
