Robotics Engineer (UAV)

Archangel Autonomy
Oxford
1 day ago
Create job alert

We are looking for an enthusiastic, passionate, drone and robotics engineer, ready and eager to push themselves in a friendly, cutting-edge technology company to deliver world-class autonomous capabilities.   

At Archangel Autonomy, you will be working alongside a fun, experienced, and forward-thinking team to deliver transformative AI solutions that help organisations with the sharpest needs like the MOD, Nuclear Decommissioning Authority and Network Rail better protect our service personnel, critical infrastructure, and first responders over large, remote areas. We work extensively with drones and robotics partners to create turn-key solutions using state-of-the-art technologies in our stack.  

You will be joining a company that is enjoying great success. We are winners of the GENIUS NY program in New York, (the largest accelerator program for unmanned systems in the world). We have won several exciting development projects with key defence customers pushing the state-of-the-art forwards.   

The Role   

We are building mission-level autonomy for UxVs, enabling them to understand higher-level tasks and operate autonomously even in challenging environments where no GPS or other navigation signals are available. We use primarily visual means to achieve our goal and we are currently compatible with multiple drone platforms.  Working in ROS, and coding in Python and C++, you will both deliver working UxV products and enable our platform to integrate with third party solutions by leveraging standard technologies such as MAVLink.

You will be working on both software and hardware to deliver the next stage of our drone autonomy product. You will be expected to take full ownership of your area, deliver a positive impact, and step up as needed to push for progress.  

What will yoube responsible for  

  • Developing, optimising, and maintaining algorithms for our drone autonomy products using ROS  
  • Integrating new sensors and AI-sourced inputs into the system and maintaining the interfaces  to allow improved position estimation
  • Building the interfaces for communicating with UxVs, including third-party autopilot interactions  
  • Establishing and automating testing procedures to ensure the stability of autonomy components  
  • Continuous improvement of the performance and efficiency of the autonomy components  
  • Close collaboration with the team to ensure full system visibility and functionality 

You must have these to apply   

  • A degree in Computer Science, Robotics, Electrical Engineering, or a related subject   
  • A sound understanding of the fundamentals of drones and UxVs (sensors, actuators, control theory, navigation, autopilots, etc.)   
  • Strong understanding of open-source protocols and frameworks commonly used in UxVs (MAVLink, PX4, Ardupilot, etc.)   
  • Proficiency with Python and C++, experience working in a large collaborative codebase  
  • Experience with ROS2 or ROS  
  • Strong mathematical and analytical skills   

Nice to have   

  • Experience with computer vision based positioning and navigation in UxVs (Visual Odometry, SLAM)   
  • Experience with simulation tools (Gazebo, X-Plane, Airsim, Unreal, etc.)  
  • Familiarity with optical sensors and solutions  
  • Experience designing and validating complex robotic systems
  • Basic rapid prototyping skills (PCB design, CAD, 3D printing, etc.)  
  • Familiarity with edge-deploying code on low SWaP computers  
  • Demonstrated delivery of functioning robotic systems  

  

By joining us,you'll have  

  • The ability to make a measurable difference in the creation of cutting-edge technology in a rapidly growing start-up  
  • Fast-paced environment with a world-class, positive, talented, and high-achieving team   
  • Forward-thinking, supportive culture with company retreats and strategic alignment  
  • World-class growth opportunities and training resources Including self-development days and training to be a drone pilot  
  • Merit-based compensation  
  • 5% employer pension contribution   
  • 25 days holiday + UK bank holidays   
  • A variety of perks that are evolving: Free Monday team lunch, Cycle2work scheme, plus many more in the works!   
  • Relocation support

Security clearance   

Due to the sensitive nature of some of our work, it would be beneficial for candidates to be able and willing to obtain and maintain the necessary security clearance for this role.  

Location– Osney Mead, Central Oxford.   

We thrive on being a tight-knit team! As a Robotics Engineer, you will be working with both our hardware and software platforms and access our lab in Oxford regularly.  

Interested?   

Apply now and someone from our HR team will get back to you ASAP. The usual process includes a screening call, a quick live coding test, and then a meeting with more of the team to get to know each other. That's it!   

Sound interesting? Apply now and join us in making the future   

Related Jobs

View all jobs

Robotics Engineer (UAV)

Automation Engineering GSK Graduate Programme, UK, 2025

Machine Learning Engineer

a Robotic Field Test Engineer

Automation Engineer

Software Engineer

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.