Lead Robotics Software Engineer

Chilton, Oxfordshire
4 days ago
Create job alert

Lead Robotics Software Engineer | AUV’s | ROV’s | Harwell – Hybrid | £70,000pa plus share scheme & benefits:
  
A once in a lifetime opportunity has arisen for a passionate Lead Robotics Software Engineer to join a game changing company who has a pipeline of robotic AUV, ROV & UAV products which are going to be brought into existence and to market in the next couple of years.

If you’re passionate about robotics and the autonomous vehicle and unmanned vehicle industry, you honestly need to make contact with us, this one is not to be missed.
  
MARS is recruiting an experienced Lead Robotics Software Engineer to lead the design, development, and integration of advanced software for next-generation underwater unmanned platforms. This role will play a pivotal part in driving autonomy, perception, and mission-critical software for submersible robotic systems. Candidates must be British Citizens or lived in the UK for 10 years, due to needing SC clearance.
  
Key Responsibilities:

Lead the architecture, design, and development of software for autonomous underwater vehicles (AUVs) and remotely operated vehicles (ROVs), leveraging ROS/ROS 2 and other robotic middleware.
Oversee integration of a wide array of sensors (e.g., sonar, cameras, Doppler velocity logs, IMUs) and actuators into robust, modular control frameworks.
Guide the implementation of autonomy algorithms, including SLAM, path planning, adaptive control, and real-time obstacle avoidance.
Direct the development of real-time systems for data acquisition, onboard processing, and underwater communication (acoustic, RF, optical).
Drive testing and validation efforts, including hardware-in-the-loop simulations and live sea trials, ensuring robust performance in challenging marine environments.
Collaborate with multidisciplinary teams—including systems, mechanical, and electrical engineers—to ensure cohesive and reliable system integration.
Maintain clear and concise documentation, and manage source control using tools like Git/GitLab.
Contribute to proposal development, system-level design reviews, and strategic planning related to autonomous systems.   
Qualifications:

Bachelor's or Master’s degree in Computer Science, Robotics, or a related field .
8+ years of experience in embedded systems, robotics software, or unmanned systems development.
Strong expertise in C++, Python, and software development for real-time systems.
Experience with ROS or ROS 2, including custom nodes, launch files, and integration with hardware.
Ability to work in field conditions, including support for field testing and sea deployments.   Preferred Experience:

Experience in maritime, defence, or subsea robotics industries.
Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments.
Familiarity with underwater navigation, acoustic communications, and environmental sensing preferred.
Background in regulatory or classification compliance for unmanned marine vehicles.   If you’re passionate about both robotics, in particular autonomous vehicle and unmanned vehicle industry, and you love software engineering within this space, please  get in touch ASAP.
  
MARS Recruitment is an equal opportunities employer and positively welcomes applications from suitably qualified applicants regardless of race, colour, sex, marital status, national origin, religion, age, disability, or any other protected status. Suitable candidates for the role will be contacted within 3 working days, unfortunately if you haven’t heard back in this time your application has been unsuccessful at this time
  
MARS Recruitment is a specialist Engineering & IT recruiter working in partnership with companies across the UK and offers services of both an Employment Business (for Temporary/Contract roles) and an Employment Agency (for Permanent roles)

Related Jobs

View all jobs

Principal Software Engineer

R&D Project Manager - Machine Learning - Cambridge

Computer Science Teacher

Lead Data Engineer

Lead Data Scientist

Lead Enterprise Architect, Advanced Analytics

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.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.

Veterans in Machine Learning: A Military‑to‑Civilian Pathway into AI Careers

Introduction Artificial intelligence is no longer relegated to sci‑fi films—it underpins battlefield decision‑support, fraud detection, and even supermarket logistics. The UK Government’s 2025 AI Sector Deal forecasts an additional £200 billion in GDP by 2030, with machine‑learning (ML) engineers cited as the nation’s second most in‑demand tech role (Tech Nation 2024). The Ministry of Defence’s Defence AI Strategy echoes that urgency, earmarking £1.6 billion for FY 2025–28 to embed ML into planning, logistics, and autonomous systems. If you have ever tuned a radar filter, plotted artillery trajectories, or sifted sensor data for actionable intel, you have already worked with statistical modelling—the backbone of machine learning. This guide shows UK veterans how to reframe military experience for ML roles, leverage MoD transition funding, and land high‑impact positions building the models shaping tomorrow’s defence and commercial landscapes. Quick Win: Bookmark our live board for Machine‑Learning Engineer roles to see who’s hiring today.