At a Glance
- Tasks: Lead AI feature development for product engagement and optimise data collection processes.
- Company: Innovative mental health tech company focused on evidence-based interventions.
- Benefits: Flexible work options, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment in London with remote work flexibility.
- Why this job: Make a real difference in mental health care using cutting-edge AI technologies.
- Qualifications: PhD or relevant degree with experience in ML engineering or Data Science.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities
- Drive effective session orchestration and lead the implementation of our Evidence-Based Intervention Library.
- Develop AI features tailored for product retention and engagement.
- Implement features involving expectation setting, gamification, and reinforcement learning for the personalization of care.
- Optimize our recovery data collection processes, focusing on the methods, timing, and predictive modelling of PHQ-9s.
- Provide occasional analysis and modelling support for additional clinical research projects.
Qualifications
- You must meet one of the following educational and experience backgrounds:
- A Ph D in Computational Psychiatry or a related field, coupled with demonstrated industry experience in Data Science, Product, or ML engineering.
- OR a BSc/MSc in a Computational Psychiatry related field (research focus) plus 2 years of experience in ML engineering or Data Science within an Engineering/Product Development environment.
- Proficiency in either Python or Typescript/Javascript.
- An expert approach to hypothesis-driven work, with a track record of balancing product development with scientific rigour.
- Experience in Eval-driven-development.
- Experience using Machine Learning in a production environment or via high-impact scientific publications (e. g., predictive modelling, reinforcement learning).
- Experience modelling text/language data, including building LLM classifiers and using vector-based methods.
- Experience modelling longitudinal data and working with databases (SQL or No SQL).
- A strong understanding of evidence-based mental health care (such as Cognitive Behavioural Therapy) and a deep interest in the causal mechanisms that drive therapeutic benefit.
- Proficiency with version control systems, preferably Git.
- Ideal but not required: Experience building an LLM agent harness.
- The ability to work from our London (Spitalfields) office on Tuesdays and Thursdays, with the flexibility to work remotely or from the office on other days of the week.
- Please note: Limbic cannot provide visa sponsorship.
- #J-18808-Ljbffr
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We think this is how you could land AI/ML Engineer in London
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We think you need these skills to ace AI/ML Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
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