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

Apply Now

Full Stack Software Engineer

Arondite
London
8 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Data Engineer – GCP/DSS

Data Scientist

Data Science and AI Industrial Placement Scheme

Data Science and AI Industrial Placement Scheme

Data Science and AI Industrial Placement Scheme

About Arondite

Arondite is a defence technology company building the foundational software and AI to power the autonomous age. Our aim is to revolutionise the way organisations collaborate with sensors, robots and autonomous systems and use the data they generate. We are driven by our determination to help defend our collective democratic values and by our strong belief that an elite group of engineers can make a big difference. We are ambitious, well-funded and building for the long-term.

You will join Arondite at a pivotal moment in the company’s journey.Our company is being built by exceptional engineers - people who find high-impact and technically challenging work engaging and exciting, and who consistently deliver outsized impact. You will collaborate with other brilliant minds to solve some of the world’s hardest and most important problems.

You will have ownership and autonomy from Day One.There is no corporate ladder at Arondite. From your first day, you will directly influence the design, functionality, and direction of Arondite’s product offering. We hire the best people and give them extremely high levels of autonomy; the sky is the limit for an individual with the right ambition.

If you are motivated by our mission and if you want to be part of a growing team of outstanding people, then we want to hear from you.

Requirements

You will be driving the development of software to enable autonomous systems to collaborate, process large sensor datasets, and build graphical user interfaces for the web and Android. User interfaces will involve the presentation of complex information in an intuitive way to enable tasking and control of multiple assets.

You will be expected to write flexible and maintainable code that will operate in mission-critical environments. The role will also involve interfacing with third-party APIs and the development and documentation of our own ones. You will iterate closely with end users to rapidly add and improve the most relevant features to support their priorities - this may sometimes involve working outdoors and at other sites.

Your responsibilities will include:

  • Designing, building, and testing the core software platforms and user interfaces at Arondite
  • Iterating with customers and users to better understand and implement their requirements
  • Interfacing and testing with autonomous and robotic systems in the field
  • Collaborating with engineers with diverse skill sets, including AI/ML, networking, and robotics
  • Driving a culture of excellence within the engineering team and the wider company

You should have:

  • A degree in Computer Science, Engineering, or a related technical/scientific subject (or equivalent experience)
  • Strong core programming skills in a server-side language such as C++, Java, Rust or Python
  • Front-end development experience in TypeScript or JavaScript, using frameworks such as Angular or React
  • A deep enthusiasm for expanding your knowledge of a diverse technology stack

Ideally, you would also have:

  • Understanding of working on embedded / resource constrained devices
  • Experience with Docker and Kubernetes
  • Experience with SQL databases such as PostgreSQL
  • Experience of machine learning applications

Note: We want Arondite to bring together individuals from diverse backgrounds and perspectives. We don't expect everyone to have experience across each of these areas. Please apply even if you only partially fulfil this list.

Security clearance

We believe in working closely with defence customers. As a result, this role will require the individual to hold a clearance or be willing to undergo UK security vetting to Security Check (SC) or above. This normally requires having continuous residency in the UK for at least 5 years.

Office vs Hybrid working

We are focused on building a positive, collaborative engineering-driven culture. We therefore believe in making the office a friendly, comfortable and fun place to be, and we try to work from the office where possible. Of course, there are times when it makes sense for you to work from home and that's OK. You may also need to travel to visit customers, depending on your role. But in general you should only apply to join Arondite if you're excited to come into the office and work in person by default.

Application process

Generally, our interview process is comprised of the following stages:

  1. CV submission with initial questions
  2. Introductory Teams call (30 mins)
  3. In-person technical interview (1-2 hours)
  4. Final interview with one of Arondite’s Founders (30 mins)

Benefits

  • Highly competitive base salary
  • Generous equity in EMI share options in a well-funded and growing startup
  • 7% employer pension contribution
  • A great office in Old Street offering wellness workshops and community events
  • Free breakfast and lunch every day; free pizza and beers weekly
  • Private health and dental insurance
  • Cycle to work scheme
  • Relocation support
  • Visa sponsorship for extremely strong candidates
  • Access to any resources, equipment and training that you need to do your job in a world-class way
  • The opportunity to work with and learn from exceptional colleagues with excellent academic experience and deep industry knowledge

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 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.

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.

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.