Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Chief Technology Officer

Investinu Group
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data analyst

Data Engineer

Test Data Engineer

C++ Quantitative Developer - Machine Learning

Chief Data Scientist - Build Platform & Team from Scratch

Chief Data Scientist & Commercial Strategy Leader

Get AI-powered advice on this job and more exclusive features.

Want to apply Read all the information about this position below, then hit the apply button.Chief Technology Officer (CTO) - AI Recruitment Platform - Equity based - RemoteA rapidly growing startup revolutionising the recruitment space with an innovative AI-driven platform is seeking an experienced and visionary hands-on Chief Technology Officer (CTO) to lead the technology strategy and execution.This is a unique opportunity to drive technological innovation, spearhead AI/ML integration, and build a world-class engineering team from the ground up. The CTO will play a pivotal role in scaling the platform, ensuring its security and infrastructure are robust, and aligning technology with business objectives.Key Responsibilities:Define and oversee the technical vision, architecture, and execution of the AI-powered recruitment platform.Lead the engineering team, ensuring the platform is scalable, secure, and optimised for performance.Spearhead AI and machine learning initiatives to enhance job-matching accuracy and candidate recommendations.Manage the technical infrastructure, ensuring seamless integration of data sources and automation tools.Collaborate closely with product and business teams to align technological development with strategic goals.Represent the company’s technical vision to investors and stakeholders, supporting fundraising efforts.Recruit, build, and lead a high-performing engineering team, fostering a culture of innovation and excellence.Key Requirements:Proven track record in a senior technical leadership role (CTO, VP of Engineering, or similar) within a high-growth AI or SaaS startup.Expertise in AI/ML technologies, data architecture, and scalable cloud-based applications.Experience with blockchain and tokenisation is desirable but not essential.A strong ability to lead technical teams, drive execution, and scale technology in a fast-paced environment.Exceptional problem-solving skills, with a strategic mindset balancing technological innovation with business priorities.Equity-Based Compensation: A significant equity stake in the company, alongside performance-based incentives.Salary Component: A competitive salary will be introduced upon securing Series A funding, ensuring an attractive total compensation package.This is a rare opportunity to take on a leadership role in a cutting-edge AI-driven company and shape the future of the recruitment technology team to drive the company's technology initiatives.We encourage candidates from all backgrounds to apply, reaffirming our commitment to diversity and inclusion, and welcoming applications regardless of race, religion, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.Seniority level ExecutiveEmployment type Full-timeJob function Information Technology, Business Development, and Project ManagementIndustries Investment Management, Information Services, and Investment Banking

#J-18808-Ljbffr

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.

Jobs

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Jobs

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.