National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Lead Robotics Software Engineer

Chilton, Oxfordshire
1 month ago
Applications closed

Related Jobs

View all jobs

Computing Teacher

Computer Science Teacher

Business Development Specialist

Lead Research Engineer - SLAM / State Estimation / Computer Vision / Robotics

Lead Data Scientist

Lead Python Software Engineer

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)

National AI Awards 2025

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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.