Hybrid Data Platform Engineer for Scientific AI

CoMind; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Benefits offered by this job

Company equity plan

Salary-sacrifice pension

Private medical insurance

Group life insurance

Mental health support

Unlimited holidays

Lunch voucher

Fruit and snacks

YuLife discounts

Remote working day per quarter

Job summary

CoMind is developing a non-invasive neuromonitoring platform in London, where you will help design architectures that bring data, compute, and evaluation together for reproducible science. Fifteen scientists and engineers collaborate to turn raw signals into actionable clinical insights.

We work from the Kings Cross offices with a flexible work-from-home day, embracing AI as a core part of how we work and innovate.

Qualifications

• Substantial software or platform engineering experience building tooling for scientists or researchers
• Deep Python and pipeline/workflow systems where correctness and reproducibility mattered
• Cloud compute and storage (AWS preferred), containerisation, IaC, cost-aware provisioning

Responsibilities

• Reprocessing: modify a stage of the pipeline and re-run analyses
• Evaluation: build bespoke evaluation harnesses for scientists
• Compute and data access: ensure reproducible environments and trusted datasets
• Engineering standards: CI, testing, and sane repository structure
• Research-to-software boundary: align interfaces with our software team
• Regulatory evidence as a by-product: IEC 62304 traceability artefacts
• Growing the capability: mentoring junior developers and shaping the function

Skills

Python programming

Data pipelines

Cloud compute

CI/CD

Scientific software development

Mentoring

Tools

AWS

Docker

Kubernetes

Terraform

Job description

CoMind is developing a non-invasive neuromonitoring platform in London, where you will help design architectures that bring data, compute, and evaluation together for reproducible science. Fifteen scientists and engineers collaborate to turn raw signals into actionable clinical insights.

We work from the Kings Cross offices with a flexible work-from-home day, embracing AI as a core part of how we work and innovate.