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- Tasks: Develop and deploy adaptive ML systems that make a real-world impact.
- Company: Forward-thinking AI company based in Greater London.
- Benefits: Flexible work arrangements and unique benefits to encourage innovation.
- Why this job: Join a passionate team shaping the future of AI with real-world applications.
- Qualifications: 3-4 years of experience in machine learning or applied research.
- Other info: Collaborate closely with the founding team to influence product direction.
The predicted salary is between 36000 - 60000 £ per year.
A forward-thinking AI company in Greater London is seeking a Machine Learning Engineer passionate about real-world impact. The role focuses on developing and deploying efficient adaptive ML systems and requires 3-4 years of experience in machine learning or applied research. You will act as a technical advisor and work closely with the founding team to shape product direction. This position offers flexible work arrangements and unique benefits, encouraging team members to explore and innovate in AI.
Applied ML Engineer — Real-World Impact employer: Adaption
Contact Detail:
Adaption Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied ML Engineer — Real-World Impact
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress potential employers.
✨Tip Number 3
Prepare for interviews by practising common ML questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and problem-solving approach.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Applied ML Engineer — Real-World Impact
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for real-world impact shine through. We want to see how your passion for machine learning aligns with our mission at StudySmarter.
Tailor Your Experience: Make sure to highlight your 3-4 years of experience in machine learning or applied research. We’re looking for specific examples that demonstrate your skills and how they can contribute to our innovative projects.
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at StudySmarter.
How to prepare for a job interview at Adaption
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and techniques. Be ready to discuss your past projects and how they relate to real-world applications. This role is all about impact, so think of examples where your work made a difference.
✨Show Your Passion for AI
This company is looking for someone who’s genuinely excited about AI and its potential. Share your thoughts on current trends in the field and how you see them shaping the future. Let your enthusiasm shine through!
✨Prepare for Technical Questions
Expect some technical questions that will test your problem-solving skills. Practice coding challenges or case studies related to adaptive ML systems. Being able to demonstrate your thought process is just as important as getting the right answer.
✨Engage with the Founding Team
Since you'll be working closely with the founding team, prepare some insightful questions about the company's vision and product direction. This shows that you're not just interested in the role, but also in contributing to the company's growth and innovation.
