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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, proficient in Python and relevant frameworks.
- Other info: Fast-paced environment with a strong emphasis on collaboration and creativity.
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! Get out there and connect with people in the AI field. Attend meetups, webinars, or even local tech events. You never know who might have the inside scoop on job openings or can introduce you to someone at Myn.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, TensorFlow, or PyTorch. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with machine learning algorithms and cloud services. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got exclusive roles that might not be advertised elsewhere. Plus, it’s a great way to ensure your application gets noticed by the right people at Myn.
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 how you can contribute to our exciting projects. Be sure to mention any specific experiences that relate to the job description.
Showcase Your Projects: If you've deployed AI models or worked on machine learning initiatives, don’t hold back! Include links to your GitHub or any relevant portfolios. We love seeing real-world applications of your skills.
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 this fantastic opportunity 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 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 and machine learning, especially in areas like 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.
