Autonomous Software Engineer

NewSpace Technical
Bristol
3 weeks ago
Applications closed

Related Jobs

View all jobs

Full Stack Software Engineer

Gen AI Engineer

Computational Modeller (physical sciences background)

Back End Developer

AI Research Engineer

Senior Cloud Engineer (AWS)

Software Engineer- Autonomous Systems


Location:Bristol, UK (Hybrid - 2/3 days onsite per week)

Type:Full-Time, Permanent

Salary:£60,000 - £80,000 plus benefits + Relocation Package


Are you a knowledgeable software engineer with strong expertise in designing software for UAVs or Drones?


We're searching for a skilled Autonomous Software Engineer to join a multi-disciplinary R&D team in developing innovative autonomous systems technology. Your expertise will guide the creation of autonomous software solutions, enhancing IoT platform's capabilities and contributing to the company's mission of creating a safer, smarter world.


Your Role:

As a member of our R&D team, you will drive the development of cutting-edge unmanned aerial systems for defence applications.


Responsibilities:

  • Design and develop autonomous system software, focusing on C++ and Python.
  • Analyze requirements to create impactful software designs.
  • Ensure code quality across multiple projects through reviews and testing.
  • Address and fix code defects, working with both new and legacy systems.
  • Enhance development processes, particularly in autonomous systems.


Qualifications:

  • Bachelor’s in Computer Science, Software Development, or similar.
  • Proficient in C++ and Python
  • Experienced with Agile methodologies and tools like Jira, Confluence, Bitbucket.
  • Familiarity with ground control software and gazebo or other simulation tools.
  • Experience with autopilot firmware like PX4 or Ardupilot.
  • Knowledge of ground control tech like QGroundControl
  • Experience with ROS2
  • Knowledge of computer vision and machine learning is a plus.
  • Experience in autonomous system development.


Offered is an unparalleled work environment that blends startup agility with the stability of a mature, expanding company. Our team enjoys the flexibility, professional growth opportunities, and the chance to make significant contributions to the industry.


*Sponsorship can be offered in exceptional circumstances


Apply by forwarding your resume to

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.

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.

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.