Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI solutions that drive real business impact.
- Company: Exciting AI start-up in Central London with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on transformative AI projects that matter.
- Qualifications: 3+ years in AI or machine learning, with strong Python and cloud service skills.
- Other info: Fast-paced environment with a focus on collaboration and career advancement.
The predicted salary is between 75000 - 90000 £ per year.
Role – AI Engineer
Location - London (Hybrid)
Salary - £75K - £90K
Role Type – Permanent
Myn is an AI driven marketplace that connects candidates, clients and recruiters. Myn collaborates with leading employers to offer exclusive, carefully matched permanent positions.
Overview
Are you a talented AI Engineer eager to make an immediate impact on exciting projects? Our client is seeking an experienced professional for a hybrid position to be based in Central London.
As an AI Engineer for this startup, you will have the chance to:
- Work on cutting-edge AI and machine learning initiatives that directly impact business outcomes.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust AI solutions.
Key Skills
- Proficiency in Python, TensorFlow, or PyTorch
- Experience with machine learning algorithms and frameworks
- Strong understanding of data pre-processing, feature engineering, and model evaluation
- Familiarity with cloud services (AWS, GCP, Azure) and their AI/ML offerings
- Knowledge of natural language processing (NLP) and computer vision is a plus
Experience
- 3+ years in AI, machine learning, or data science roles.
- Proven track record of deploying AI models into production environments.
- Experience with data manipulation and analysis, using tools like Pandas and SQL.
- Involvement in full project lifecycles, from concept to deployment and monitoring.
- Ability to work in fast-paced, agile settings and adapt to changing project requirements.
With Myn, you gain a trusted partner dedicated to helping AI professionals excel in their careers—connecting you with forward-thinking employers and impactful projects.
AI Engineer - Start-Up employer: Myn
Contact Detail:
Myn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer - Start-Up
✨Tip Number 1
Network like a pro! Attend AI meetups, tech conferences, or local events in London. It's a great way to meet industry folks and get your name out there—plus, you never know who might have a lead on that perfect AI Engineer role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python, TensorFlow, or PyTorch. Share it on platforms like GitHub or even your own website to impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you'll need to collaborate with cross-functional teams. We recommend mock interviews to build confidence!
✨Tip Number 4
Don't forget to apply through our website! Myn connects you with top employers looking for AI talent. Keep an eye on new listings and apply early to increase your chances of landing that dream job in AI.
We think you need these skills to ace AI Engineer - Start-Up
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with Python, TensorFlow, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and machine learning, and explain why you're excited about working with us at Myn. Keep it concise but impactful—show us what makes you unique!
Showcase Your Projects: If you've deployed AI models or worked on interesting projects, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing practical examples of your work and how you tackle challenges.
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 shows you’re keen to join our team!
How to prepare for a job interview at Myn
✨Know Your Tech Inside Out
Make sure you brush up on your Python, TensorFlow, and PyTorch skills. Be ready to discuss specific projects where you've used these technologies, as well as any machine learning algorithms you've implemented. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Project Experience
Prepare to talk about your experience with full project lifecycles. Highlight a couple of key projects where you deployed AI models into production. Discuss the challenges you faced and how you overcame them, as this demonstrates your problem-solving skills and adaptability in fast-paced environments.
✨Collaborate Like a Pro
Since you'll be working with cross-functional teams, think of examples where you've successfully collaborated with data scientists, software engineers, or product managers. Emphasise your communication skills and how you contributed to team success, as this is crucial for a startup environment.
✨Stay Current with Trends
Familiarise yourself with the latest trends in AI, especially in natural language processing and computer vision. Being able to discuss recent advancements or case studies will show your passion for the field and your commitment to continuous learning, which is vital for a role in a dynamic startup like Myn.
