AI engineer in mental health

Limbic; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Equity options

Office in London (Spitalfields)

Pension scheme (UK)

Enhanced parental leave

Mental health support

Life Days: 4 paid days off per year

Job summary

Limbic ищет инженера AI/ML для разработки нашего AI‑помощника‑терапевта, который проводит структурированную CBT по телефону. Работа в команде продукта, взаимодействие с лицензированными клиницистами для надзора за каждым пациентом. Требуется PhD в вычислительной психиатрии и опыт в ML/Data Science в инженерной среде.

Вакансия требует владения Python или TypeScript/JavaScript, опыта в LLM‑функциях и оценке результатов. Офис в Лондоне, гибридный график + возможность удалённой работы.

Qualifications

• Кандидат имеет докторскую степень по вычислительной психиатрии или смежной области и опыт в ML‑инжиниринге или Data Science.
• Наличие степени бакалавра/магистра по вычислительной психиатрии или смежной области с опытом в области разработки.
• Опыт разработки с использованием Python или TypeScript/JavaScript.
• Опыт создания функций на базе LLM и оценки результатов разработки.
• Понимание методологии гипотезно-ориентированной работы и баланса между продуктом и наукой.
• Опыт применения ML в продакшене и публикациях, работа с текстовыми данными, векторными методами и базами данных.

Responsibilities

• Улучшать работу AI‑терапевта: структуру сессий, формулировку кейсов и терапевтические техники.
• Укреплять системы безопасности для защиты пациентов в реальном времени и реагирования на риски.
• Разрабатывать оценки и автономные клапаны LLM, которые сопоставляются с клиническими метками.
• Делать разговоры естественными, управлять темпом и возвращать в разумную траекторию при отклонении от сценария.
• Повышать вовлеченность пациентов, внедряя напоминания и четкие ожидания по терапии.
• Оптимизировать сбор исходов (PHQ‑9, GAD‑7) и методы прогнозирования восстановления.
• Безопасно выпускать изменения через итерации, тестирование и клиническое обоснование.

Skills

Python

TypeScript/JS

LLM features

Eval-driven development

Version control

SQL/NoSQL

NLP

ML in prod

CBT knowledge

Education

PhD in Computational Psychiatry

BSc/MSc in related field

Tools

Git

Job description

Описание: As an AI/ML Engineer, you will sit at the intersection of computational psychiatry, clinical science, and software engineering. You will join the product team building our AI therapist: a voice agent that delivers structured, evidence-based CBT over the phone to adults with depression and anxiety, with licensed clinicians overseeing every patient’s care.

Задачи:

Improve how our AI therapist runs sessions, from session structure and case formulation to therapeutic techniques and continuity across a course of treatment, working closely with clinicians. Strengthen the safety systems that protect patients in real time, including risk detection and how the agent responds when risk is disclosed. Build evaluations and LLM-as-judge autolabellers, validated against clinician labels, so we know quickly and reliably whether a change made care better or worse. Make voice conversations feel natural: responsive, well‑paced, and able to recover gracefully when a conversation goes off script. Help patients stay with their treatment long enough to recover, through AI features such as well‑timed session reminders and clear expectations about what therapy involves, and test what works with experiments. Optimise how we collect outcome measures such as PHQ‑9 and GAD‑7, including the methods, timing and predictive modelling of recovery. Ship changes safely through incremental rollouts, automated testing and a clinical sign-off process built for a regulated medical device.

Требования:

A PhD in Computational Psychiatry or a related field, coupled with demonstrated industry experience in Data Science, Product, or ML engineering. 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. Experience building LLM-powered features and a track record of eval‑driven development. An expert approach to hypothesis‑driven work, with a track record of balancing product development with scientific rigour. 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 NoSQL). 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. A bias to action: you break big problems into pieces you can ship within a week, and you are comfortable making decisions with incomplete information. Proficiency with version control systems, preferably Git. 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. Будет плюсом: Ideal but not required: Experience building an LLM agent harness or real‑time voice AI

Условия:

Competitive salary and equity share options. An 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.