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For Companies At a Glance
- Tasks: Develop and deploy cutting-edge AI solutions that drive real business impact.
- Company: Join a dynamic start-up revolutionising the AI marketplace in London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and collaborate with top talent.
- Qualifications: 3+ years in AI or machine learning, proficient in Python and cloud services.
- Other info: Fast-paced environment with exciting projects and career advancement potential.
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 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 in AI and machine learning. Whether it's GitHub repos or personal projects, 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.
✨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 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 don’t miss out on any updates. Plus, it shows you're keen on joining 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, and don't shy away from diving into the nitty-gritty of machine learning algorithms and frameworks.
✨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, and be ready to share any challenges you faced and how you overcame them.
✨Collaborate Like a Pro
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with data scientists, software engineers, or product managers. Emphasise your ability to adapt to fast-paced environments and changing project requirements.
✨Get Familiar with Cloud Services
Brush up on your knowledge of cloud services like AWS, GCP, or Azure, especially their AI/ML offerings. Being able to discuss how you've leveraged these platforms in your previous roles will definitely give you an edge.
