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

Apply Now

Vice President of Engineering

numi
1 year ago
Applications closed

Related Jobs

View all jobs

Director of AI Optimization and Productization - R&D Data Science & Digital Health

Risk Management – Data Scientist / Applied AI ML Lead - Vice President

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

AI/MLOps Platform Engineer

VP of Engineering - Contract - Remote (UK based) - Leading AI/ Data Tech Company


Are you passionate about leading innovative engineering teams that shape the AI landscape?


Join a company shaping the future of human data infrastructure to redefine the boundaries of model development.


The Role


As VP of Engineering, you'll inspire a diverse, global team in scaling their platform to new heights. You will drive a product focus, set the vision and confidently articulate the technical direction internally and externally. Creating a culture of excellence, experimentation and innovation.


Your Daily Adventures:


  • Steer platform modernisation, shaping strategies for stability, resilience, performance, scalability, and security.
  • Advocate engineering principles and best practices for consistency and quality.
  • Mentor teams, fostering a high-performance culture embracing creativity and innovation.
  • Ensure stable platform reliability, managing high-transaction environments.
  • Collaborate on product roadmaps, emphasising shipping speed and product quality.
  • Cultivate customer-centric engineering culture, solving real-world challenges.
  • Manage performance, promoting continuous improvement and team strength.
  • Align technical solutions with company strategy, actively engaging in workshops and decisions.
  • Champion DevOps culture, supporting code shipped to production.
  • Contribute to product development culture, creating communities of practice.
  • Hire, onboard, and train new talent to fuel growth.


What are we looking for:


  • Proven leadership experience, coaching and scaling engineering teams in cloud-based environments ideally SaaS.
  • Thrive in fast-paced environments, managing multiple priorities with unwavering quality.
  • Track record of accelerating product delivery, maintaining scalability and quality.
  • Deep understanding of modern engineering practices.
  • Proficient Data and analytical skills for deep diving system analyses and ensuring best practices.


Ready to shape the future of AI at an unparalleled scale? You can help redefine possibilities in the exhilarating world of data and artificial intelligence.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.