Senior Machine Learning Engineer

Techmunity; España; A distancia; EUR 120.000 - 156.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Equity

Descripción de la vacante

Techmunity is an early-stage, well-funded digital health company building a regulated AI platform for personalised healthcare, starting with pregnancy and women's health.

As a Senior Machine Learning Engineer, you'll be among the first ML engineers, shaping how models are built, validated and deployed in a regulated medical product.

This remote-first role offers equity and the chance to have real clinical impact while bringing AI from research into patient care.

Formación

• Shipping production ML in Python with strong software habits.
• Hands-on MLOps on a major cloud platform.
• Experience with sensitive health data in regulated/clinical settings.
• Ability to communicate clearly with clinicians, product and regulators.

Responsabilidades

• Build clinical prediction and personalisation models on real-world health data.
• Own MLOps foundations: data pipelines, experiment tracking, model registry, controlled releases and monitoring.
• Design evaluation and validation for clinical and regulatory scrutiny.
• Produce model evidence for Class I/II medical software (ISO 13485, IEC 62304, ISO 14971).
• Develop safe, useful GenAI and RAG features where they add clinical value.

Conocimientos

Production ML

Python

MLOps

Regulated data

Communication

Descripción del empleo

About the company

An early-stage, well-funded digital health company building a regulated AI platform for personalised healthcare, starting with pregnancy and women's health.

Their aim is to spot pregnancy risks earlier and change how maternity care is delivered across the UK, US and beyond.

They've raised £10m+ from leading global health funders, which gives them around three years of runway.

The leadership team brings together clinical, technical and entrepreneurial experience, including a successful digital health exit and leadership of a major international maternal health research programme.

The Senior Machine Learning Engineer role

You'll be one of the first ML engineers, working with the Head of AI to shape how machine learning is built, validated and deployed in a regulated medical product.

It's a hands-on role for someone who enjoys getting models into production and backing them with rigorous evidence.

What you'll do

• Build clinical prediction and personalisation models on real-world health data
• Own the MLOps foundations: data pipelines, experiment tracking, model registry, controlled release and monitoring
• Design evaluation and validation that stands up to clinical and regulatory scrutiny (calibration, subgroup performance, drift)
• Produce the model evidence for Class I/II medical software (ISO 13485, IEC 62304, ISO 14971)
• Develop safe, useful GenAI and RAG features where they add clinical value

What you'll bring

• Strong experience shipping production ML in Python, with solid software engineering habits
• Hands-on MLOps on a major cloud platform
• Experience working with sensitive health data, ideally in a regulated or clinical setting
• Clear communication with clinicians, product and regulatory colleagues

Particularly valuable:

women's health or pregnancy, clinical prediction, digital therapeutics, wearables, FHIR, or taking regulated products from the UK to the US.

• Meaningful influence on an AI function at an early stage, not an inherited system
• A mission with real clinical impact
• Remote-first working and a highly experienced leadership team

This Senior Machine Learning Engineer role is paying £100,000 to £130,000 + equity.