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- Tasks: Build and optimise AI models to enhance mental health solutions.
- Company: Pioneering AI mental health company in Greater London.
- Benefits: Competitive pay, startup perks, and travel opportunities to NYC.
- Why this job: Make a real impact on mental health with cutting-edge technology.
- Qualifications: Strong Python skills and experience with modern service architectures.
- Other info: Join a dynamic team focused on innovation and user experience.
The predicted salary is between 36000 - 60000 £ per year.
A pioneering AI mental health company in Greater London is looking for a Machine Learning Engineer to join their dynamic team. This role involves building and maintaining scalable training and evaluation pipelines, working with deep learning frameworks, and contributing to the optimization of user experience through advanced models.
The ideal candidate will have solid software engineering skills, a strong understanding of Python, and experience with modern service architectures.
This position offers competitive compensation, startup perks, and travel opportunities between their locations in London and NYC.
ML Engineer: Fast-Paced, Impactful AI for Mental Health employer: Ash by Slingshot AI
Contact Detail:
Ash by Slingshot AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer: Fast-Paced, Impactful AI for Mental Health
✨Tip Number 1
Network like a pro! Reach out to people in the AI and mental health space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving deep learning frameworks. This will help us see your practical experience and creativity.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and modern service architectures. We love candidates who can demonstrate their problem-solving skills in real-time!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed by our team. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace ML Engineer: Fast-Paced, Impactful AI for Mental Health
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your software engineering skills and experience with Python in your application. We want to see how you can contribute to our team, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for the ML Engineer role. Mention specific projects or experiences that relate to building scalable training pipelines or working with deep learning frameworks. This helps us see how you fit into our dynamic team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Remember, less is often more!
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 exciting opportunity in our pioneering AI mental health company!
How to prepare for a job interview at Ash by Slingshot AI
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and understand the deep learning frameworks relevant to the role. Be ready to discuss your past projects and how you've built or maintained training pipelines. This will show that you’re not just familiar with the tech, but that you can apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would optimise user experience through advanced models. Practising common ML problems and solutions can help you articulate your thought process clearly when faced with similar questions.
✨Understand the Company’s Mission
Research the company’s impact in the mental health space. Being able to connect your skills and experiences to their mission will demonstrate your genuine interest in the role and how you can contribute to their goals. It’s all about showing that you’re not just looking for a job, but that you want to be part of something meaningful.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the technologies they use, or their future projects. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values. Plus, it gives you a chance to engage in a two-way conversation rather than just answering questions.
