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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 model deployment skills.
- Other info: Fast-paced environment with a collaborative culture and career advancement opportunities.
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—who knows, you might even bump into someone from Myn!
✨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 and make sure to link it in your applications through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your machine learning algorithms and frameworks. Practice explaining complex concepts in simple terms—this will impress interviewers and show you can collaborate with cross-functional teams.
✨Tip Number 4
Stay updated on the latest trends in AI and machine learning. Follow relevant blogs, podcasts, or online courses. This not only boosts your knowledge but also gives you talking points during interviews, making you stand out as a candidate.
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 align with 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 this opportunity at Myn. Let us know how you can make an impact right from the start.
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 makes the process smoother for everyone involved!
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 deploying AI models into production. Highlight your involvement in full project lifecycles, from concept to deployment. Use concrete examples to illustrate how your contributions made a difference in previous roles.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, be ready to discuss how you've collaborated with data scientists, software engineers, and product managers in the past. Share examples of how you navigated challenges and contributed to team success.
✨Stay Agile and Adaptable
Demonstrate your ability to thrive in fast-paced, agile environments. Prepare to discuss times when you've had to adapt to changing project requirements and how you managed those transitions. This will show that you're not only skilled but also flexible and ready for the dynamic nature of a startup.
