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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 even local hackathons. It's all about making connections and showing off your skills in person—who knows, you might just bump into someone from Myn!
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your best work with AI and machine learning. Whether it's a GitHub repo or a personal website, let us see what you've got—this is your chance to shine!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Python, TensorFlow, and cloud services. We want to hear how you've tackled challenges and delivered results in past roles.
✨Tip Number 4
Apply through our website! It’s the easiest way to get noticed by top employers looking for AI talent. Plus, we’re here to support you every step of the way—let's land that dream job together!
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 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 to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Myn!
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 challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about your experience with machine learning algorithms and how you've applied them in real-world scenarios. Think of examples where your solutions had a measurable impact on business outcomes.
✨Familiarise Yourself with the Company
Research Myn and understand their mission and the types of AI projects they work on. This will help you tailor your answers and show that you're genuinely interested in contributing to their goals.
✨Be Ready for Technical Questions
Expect some technical questions or even a coding challenge during the interview. Practise common algorithms and data manipulation tasks using tools like Pandas and SQL to ensure you're prepared to demonstrate your skills.
