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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-driven start-up in Central London with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on innovative AI projects that shape the future.
- Qualifications: 3+ years in AI or machine learning, proficient in Python and familiar with cloud services.
- Other info: Fast-paced environment with excellent career advancement opportunities.
The predicted salary is between 75000 - 90000 £ per year.
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 to connect with industry folks. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python, TensorFlow, or PyTorch. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Don’t just apply—engage! When you find a role that excites you, reach out to current employees on LinkedIn. Ask about their experiences and express your interest in the position. It’s a great way to get noticed!
✨Tip Number 4
Keep it agile! Be ready to adapt your approach based on feedback during interviews. If they mention specific skills or projects, highlight your relevant experience. Flexibility can make all the difference in landing that dream job!
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! Use it to explain why you're passionate about AI and how you can contribute to our exciting projects. Keep it concise but impactful—let us know why you're the perfect fit!
Showcase Your Projects: If you've worked on any cool AI or machine learning projects, make sure to mention them! Whether it's a personal project or something from your previous job, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
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 that highlight your ability to tackle complex problems and deliver effective AI solutions.
✨Familiarise Yourself with the Company
Research Myn and understand their mission and the projects they’re involved in. Being able to articulate how your skills align with their goals will show your genuine interest and help you stand out.
✨Prepare for Collaboration Questions
Since you'll be working with cross-functional teams, be ready to discuss your experience collaborating with data scientists, software engineers, and product managers. Share examples of how you’ve successfully worked in a team to deliver robust AI solutions.
