BLUESKEYE AI

Founded in April 2019 as a spin-out company from the University of Nottingham, BlueSkeye AI was born out of the desire of its founders for their research to do real good and have an impact on our world.

blueskeye.com

BLUESKEYE AI

blueskeye.com

HQGB

Team Size35

Open Jobs1

Total Funding-

Latest FundraiseUnknown

TL;DR

Founded: 2019 University of Nottingham spin-out

Product: Clinical-grade, software-only SDKs that measure social, emotional and medically relevant behaviour from face and voice

Funding: £3.4m seed round led by XTX Ventures (Oct 2022)

Privacy & Security: Privacy-by-design with on-device processing and ISO 27001 certification

Team size: About 35 employees

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Company Overview

Problem Domain

Automatic measurement and analysis of social, emotional and medically relevant expressed behaviour from face and voice signals.

Founded

2019

Industry

Healthtech

Funding Track Record

Seed- October 2022

£3.4m

Round participants named by the company include Foresight Group, Praetura Ventures, the University of Nottingham and a consortium of high-net-worth individuals.

Grant- 2024

£100,000

Up to £100k secured via the 2024 CAM Scale-Up UK programme.

Investor Signal

“Led by XTX Ventures; other participants include Foresight Group, Praetura Ventures, University of Nottingham and high-net-worth individuals.”

Founders

What we do

Join the Team

Full-Stack Developer

HybridNottingham, England, GB

Hybrid • Nottingham, England, GB

Purpose of the Role

We are looking for a motivated Full-Stack Engineer to join our growing development team. You will help build and maintain high-quality web applications that power our SaaS platforms, including our B-Automotive package and AI experimental trial data systems. This role is perfect for someone with a strong foundation in modern web tech who wants hands-on experience with cloud architectures and AI integration in a fast-paced environment.

What You’ll Be Doing Feature Development & API Design

You will design, develop, and maintain scalable web applications for both frontend and backend. This includes building robust RESTful APIs (using JSON) for internal and external use, ensuring our SaaS platforms deliver a seamless experience for users.

AI Data & Internal Tooling

A key part of this role involves processing large amounts of AI training data. You’ll use your scripting skills to clean and group data for annotation, maintain our internal annotation tools, and build specific trial sites for teams across the company.

Security & Quality Assurance

You will write clean, efficient code and participate in GitHub code reviews to maintain high standards. Security is a priority; you’ll implement secure coding practices to ensure user data segmentation and anonymity, while staying updated on CVEs to patch and mitigate threats. A passion for documentation both in code commenting and writing in platforms like Confluence is essential. Experience with regulated environments is a bonus, particularly in the automotive or medical industries. Collaborative Agile Delivery

Working within an Agile/Scrum framework, you’ll collaborate with product managers, designers, and other engineers to ship new features. You will also work closely with the QA team to troubleshoot, debug, and resolve issues within our existing systems.

What You’ll Bring

Skills & Strengths

Knowledge & Experience

Professional Background:

0-3 years of professional experience in full-stack development (or equivalent academic experience).
Security Mindset:

What’s In It For You

Mentorship:

Direct reporting line to our Lead Solutions Architect for guidance and professional growth.
Innovation:

Work at the intersection of AI and SaaS in a dynamic tech environment.

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

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Frontend & Languages:

Strong proficiency in React and modern JavaScript/TypeScript.

Backend & APIs:

Experience with modern backend languages (Go preferred) and designing RESTful APIs.

Scripting:

Strong Shell or Python scripting skills for automation and data processing.

Problem Solving:

A logical and methodical approach to complex technical challenges.

Version Control:

Proficiency with Git and GitHub (branching, merging, and PRs).

Documentation:

Code commenting and design/architecture/maintenance documents.

Practical knowledge of web vulnerabilities, data privacy, and secure data segmentation.

Education:

Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience).

Bonus Points:

Experience with GCP/AWS, Docker, CI/CD (GitHub Actions), React Native, or integrating AI models with Python. Experience in regulated environments.

Location:

Based at the Innovation Park at the University of Nottingham.

Impact:

Build tools that directly handle cutting-edge AI training data and automotive solutions.