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- Tasks: Design and support an innovative mental health platform using AI and ML technologies.
- Company: Leading AI healthcare company focused on transforming mental health solutions.
- Benefits: Flexible working environment, unlimited vacation, and competitive salary.
- Why this job: Join a mission-driven team to revolutionise healthcare with cutting-edge AI technology.
- Qualifications: 4+ years in ML, expertise in LLMs, and proficiency in Python and SQL.
- Other info: Collaborative culture with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI healthcare company seeks an experienced AI/ML Developer to design and support a mental health platform. Responsibilities include creating robust data pipelines, collaborating cross-functionally, and innovating AI capabilities.
The ideal candidate will have over 4 years in ML, expertise in LLMs, and proficiency in Python and SQL.
Offers a flexible working environment, unlimited vacation, and a competitive salary, targeting candidates passionate about transforming healthcare.
Senior ML Engineer: AI Mental Health Platform (Remote) employer: Sword
Contact Detail:
Sword Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Engineer: AI Mental Health Platform (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and healthcare space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to mental health. This will give us a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. We love candidates who can demonstrate their technical prowess with real-world examples.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you’re serious about joining our mission.
We think you need these skills to ace Senior ML Engineer: AI Mental Health Platform (Remote)
Some tips for your application 🫡
Show Your Passion for AI in Healthcare: When writing your application, let us know why you're excited about using AI to transform mental health care. Share any personal experiences or projects that highlight your passion for this field.
Highlight Relevant Experience: Make sure to showcase your experience with ML and LLMs clearly. We want to see how your skills in Python and SQL have helped you create robust data pipelines in the past. Be specific!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the responsibilities mentioned in the job description. Show us how you can collaborate cross-functionally and innovate within our team.
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 important updates from our team!
How to prepare for a job interview at Sword
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts, especially around large language models (LLMs). Be ready to discuss your past projects and how you've applied ML techniques in real-world scenarios. This will show your depth of knowledge and passion for the field.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve coding problems or explain how you've used these languages to create data pipelines. Practising common algorithms and database queries can really help you shine.
✨Collaboration is Key
Since the role involves cross-functional collaboration, think of examples where you've successfully worked with other teams. Be ready to discuss how you communicate complex technical ideas to non-technical stakeholders. This will highlight your teamwork skills and adaptability.
✨Passion for Mental Health
Express your enthusiasm for transforming healthcare through AI. Research the company's mission and values, and be prepared to share why you're passionate about mental health. This personal connection can set you apart from other candidates.
