Chief Technology Officer

Gloo

London

1 year ago

Applications closed

Related Jobs

View all jobs

Applied AI and Machine Learning Scientist - Senior Associate

Chief Technology Officer (CTO) – Fast-Growing HealthTech Business

Reporting to:CEO

About Us

We are a rapidly scaling HealthTech company dedicated to transforming healthcare through cutting-edge technology. With strong investor backing and a growing customer base, we are looking for a visionaryChief Technology Officer (CTO)to lead our technology strategy and execution.

The Role

As CTO, you will be responsible for shaping and executing our technology vision, driving product innovation, and ensuring our platform remains scalable, secure, and compliant with healthcare regulations. You will build and lead a high-performing engineering team while working closely with the executive team to align technology with business goals.

Key Responsibilities

Technology Strategy & Leadership:Define and implement the company’s technology vision and roadmap, ensuring alignment with business objectives.
Product Development:Oversee the architecture, development, and deployment of scalable, secure, and high-performance healthtech solutions.
Regulatory & Compliance:Ensure all technology solutions comply with healthcare regulations (e.g., HIPAA, GDPR, NHS Digital standards, ISO 27001).
Data & Security:Lead data security, governance, and privacy initiatives, ensuring best practices in handling patient and healthcare data.
Team Building & Leadership:Recruit, mentor, and scale a world-class engineering, DevOps, and product team to support rapid growth.
Innovation & Emerging Technologies:Drive innovation in AI, ML, telemedicine, and digital health solutions, identifying new opportunities for competitive advantage.
Partnerships & Stakeholder Management:Collaborate with internal teams, healthcare providers, payers, and external partners to enhance product offerings and market reach.
Infrastructure & Scalability:Ensure the reliability and performance of our platform as we scale, optimising cloud infrastructure and DevOps processes.

What We’re Looking For

Proven experience as aCTO, VP of Engineering, or Senior Technology Leaderin a HealthTech, MedTech, or regulated SaaS environment.
Strong technical background in software engineering, cloud infrastructure, and data security, with expertise in modern tech stacks.
Experience scaling technology teams in a fast-growth startup or scale-up.
Deep understanding ofhealthcare regulations and compliance(e.g., HIPAA, GDPR, NHS frameworks).
Strong leadership, team-building, and stakeholder management skills.
Track record of delivering innovative, user-centric digital health products.
Experience in AI, machine learning, or health data analytics is a plus.

Why Join Us?

Impact:Play a pivotal role in revolutionising healthcare technology.
Growth:Join a high-growth company with ambitious plans for expansion.
Equity & Ownership:Competitive salary with significant equity options.
Innovation:Work on cutting-edge technology in an industry that truly matters.

If you’re a visionary technology leader passionate about healthcare innovation, we’d love to hear from you.

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

Industry Insights

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

Feb 9, 2026

Careers

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

Feb 2, 2026

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Jan 23, 2026

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.