National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Founding Engineer

City of London
8 months ago
Applications closed

Related Jobs

View all jobs

Founding Machine Learning Engineer

Machine Learning Engineer - Bioimage Data & Agentic Systems

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Junior/Mid/Senior Data Engineer - Hybrid, London

Founding Engineer

About Them:

They're a mission-driven company developing a revolutionary mobile app to enhance the quality of life for individuals living with cognitive conditions and their support networks. Their platform provides essential tools like live location tracking and alerts, alongside a shared calendar to coordinate care among family members, healthcare providers, and other support partners. Leveraging behavioral recognition and machine learning, their app adapts to each user's unique habits, delivering personalized support that fosters greater independence and peace of mind.

Who You Are:

Technical Expertise: You bring robust software engineering experience, ideally with full-stack capabilities, and have successfully built and launched products in agile environments.
Proficiency Across Tech Stack: You're comfortable with technologies such as:
Front-end frameworks: React, Angular, Flutter, Vue.js, etc.
Back-end development: TypeScript, Node.js, Python, Ruby, and more
Cloud providers: AWS, Google Cloud, Azure
Databases: SQL and NoSQL
Mobile development: iOS and Android
Machine Learning Experience: Practical experience building machine learning models; familiarity with location-based or healthcare data is a bonus.
Startup Mentality: You thrive in fast-paced, dynamic environments and enjoy the challenges of a startup setting.
Leadership: Previous experience mentoring or leading small teams, and an interest in developing the technical side of the business from the ground up.
Passion for Healthcare Innovation: A deep interest in advancing healthcare technology and patient-centric solutions, especially for those with cognitive conditions.Bonus Skills:

Experience building healthcare apps, EHR, or patient management systems
Familiarity with data security standards like HIPAA
Knowledge of UX/UI design principles for healthcare
Experience with wearable and mobile sensor integration

Role Overview:

In this key technical role, you'll be instrumental in shaping and growing the platform that supports people with cognitive conditions and their care teams. You will:

Drive Product Development: Enhance their core software (app/web platform) to meet the evolving needs of users, caregivers, and healthcare providers.
Collaborate with Founders: Align technical development with the broader business vision and user needs alongside their founding team.
Hands-on Development: Write high-quality, scalable code, contributing across the full stack.
Define Tech Strategy: Establish the platform's architecture, selecting the right tools for development, deployment, and scaling.
User-Centric Design: Design for accessibility and ease of use, ensuring an intuitive experience for users with cognitive conditions and their caregivers.
Ensure Compliance and Security: Uphold industry standards, including GDPR, HIPAA, and secure handling of data.
Scale for Growth: Build a resilient platform that can scale with their user base and adapt to shifting healthcare requirements.
Team Development: As they grow, help recruit and lead a talented tech team, including developers, data scientists, and engineers.
Continuous Product Improvement: Drive updates and enhancements based on user feedback and emerging trends in healthcare technology.If you're passionate about healthcare and excited to use technology to make a meaningful impact, this role offers a unique opportunity to be part of something transformative

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.