Senior AI/ML Engineer

Limbic

Senior ML/AI Engineer developing an AI Therapist for mental health, focusing on productizing AI research. Work involves optimizing ML models, building frameworks, and compliance with regulations.

Posted 6/24/2026full-timeLondon • 🇬🇧 United KingdomSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformJavaScriptNoSQLPythonSQLTypeScript

About the role

Key responsibilities & impact

Productionise ML models to optimise product KPIs, including algorithmic patient selection to maximise recovery rates.
Build and maintain agentic frameworks while ensuring our AI features continuously comply with strict regulatory protocols.
Identify and model causal factors (such as AI skills) that determine our key performance indicators.
Productionise agentic frameworks for rapid product development, including building agents to automate product development workflows.
Productionise our product demo processes to streamline resources and prevent major issues during client demonstrations.

Requirements

What you’ll need

You must meet one of the following educational and experience backgrounds:
- A PhD in computational science or an AI-related field, plus 2 years of experience in an ML engineering role.
- OR A BSc/MSc, plus 4 years of experience in an ML engineering role.
Expertise in productising LLM features and a strong background in Eval-driven-development.
Expert-level proficiency in Python and Typescript/Javascript.
Proven experience building an LLM agent harness.
Experience utilizing reinforcement learning.
Strong architectural skills with experience designing scalable, production-grade systems for machine learning applications.
A solid understanding of statistical principles specifically in the context of LLM evaluation and user activity analytics.
Proficiency with version control systems (preferably Git) and databases (SQL or NoSQL).
Hands-on experience with major cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker).
A genuine interest in applying your technical skills to solve complex challenges in the mental healthcare space.
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.

Benefits

Comp & perks

Competitive salary and equity share options.
Amazing office in central London (Spitalfields) for our collaborative team days on Tuesdays and Thursdays, paired with a flexible/hybrid working model on Mondays, Wednesdays, and Fridays.
25 days PTO plus bank holidays.
Company pension scheme (UK).
Enhanced parental leave packages (UK).
Support with purchasing work-related books and materials.
Quarterly Life Days: Enjoy 4 paid days off per year (one each quarter) to use whenever you choose to relax, recharge, or take care of personal matters.
Mental Health Support: Access to dedicated mental health support services.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningLLM featuresEval-driven-developmentPythonTypescriptJavascriptreinforcement learningstatistical principlesscalable systemsproduction-grade systems

Soft Skills

problem-solvingflexibilityinterpersonal skills

Certifications

PhD in computational scienceBScMSc