Mayflower

MarineAI Ltd – (Junior) Python Software Engineer

MarineAI is a multi-disciplined specialist in the design, manufacture and construction of underwater vehicles and equipment and is currently looking for a Scientific Software Engineer to focus on the growth of our work on marine autonomy and machine learning.

Role:
MarineAI offers a flat organizational structure with engineers owning their respective systems. The applicant will therefore be required to remain involved in a system from its creation all the way through to sea-trials and sign-off.

Responsibilities:
Work closely with the company’s R&D team to actively progress internal Python projects which include but not limited to vehicle system control, communications, computer vision, and payload management. Be actively involved in the collection of real-world data in order to analyse the performance of new features/ software components. Data collection will include attending sea trials (limited to day operation) to ensure proper data collection and system function throughout the duration of the trial. Write technical release documentation explaining procedures, functions as well as end-user operational manuals.

Essential experience:
– Bachelor’s degree in mathematics, computer science, physics, or similar discipline.
– Strong skills in Python along with general coding practices.
– 2+ years of experience working in software development.
– Keen interest in algorithms and a willingness to develop their skillset through mentoring, online courses, research papers.
– Keen interest in the maritime sector.
– Strong oral, written and interpersonal communication skills and an ability to work in a team environment.
– Must be detail-oriented and organized and be able to handle a variety of tasks in an efficient manner.

Desirable Experience:
– Interest in control system design.
– Fluency with Linux and windows development environment and Docker containers.
– Data science and data engineering skills. Machine learning.
– Knowledge of maritime sensor systems like Radar, EO/ IR cameras, LiDAR, etc.
– Strong understanding of software design methodologies and production environments

Other Considerations:
– The candidate should be eligible to work permanently in the UK.
– The role may require the candidate to be security cleared up to SC level.
– The role may require travel at times to the US.
– The role is 40 hours per week, flexible working between the hours of 8am and 7pm Monday to Friday and possible overtime.
– The role is subject to a 3-month probationary period.
– Fully office based in either of the Plymouth or Exeter offices.

If you feel you have the right skills for the position, please apply to info@marineai.co.uk with a covering letter, your contact details, and a current CV.

Leisure Vessels

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Existing yachts can be retrofitted with GuardianAI™ technology in a few days, integrating with existing fitted sensors and systems, providing cutting edge capabilities with minimal down time.

Critical National Infrastructure

CNI sites (such as energy plants, transport hubs, water facilities, and telecommunications networks) are vital to national security and economic stability.

Marine AI’s autonomous surveillance and patrol systems provide real-time perimeter security, advanced threat detection, and rapid response capabilities, ensuring the resilience and protection of these essential assets.

Aquaculture

The global aquaculture industry is expanding rapidly, alongside the need for innovation to improve sustainability in seafood production.

Managing these operations requires constant data collection and optimised logistics. Uncrewed Surface Vessels (USVs) equipped with GuardianAI™ deliver continuous monitoring of fish farms, detecting anomalies in water quality, damage to enclosures and other security threats.

Cruise and Ferries

Autonomous technology enhances the efficiency, safety, and sustainability of both crewed and uncrewed ferries and cruise vessels. GuardianAI™ enables intelligent navigation, real-time risk assessment, and streamlined operations, increasing reliability and decreasing operational costs.

Operating in busy shipping lanes and congested waters demands constant vigilance. With GuardianAI™, crews can focus on passenger safety and service, confident in the knowledge that critical systems are working with them.

Commercial Shipping

The future of commercial shipping lies in intelligent autonomy—optimising safety, efficiency, and sustainability across global trade routes. GuardianAI™ supports zero, partial or full autonomy; it can support crewed operations, providing optimised paths and advanced collision avoidance.

Remote monitoring and control allows vessels to be supervised remotely, via low-bandwidth communications ensuring seamless operations in all conditions.

Energy

Offshore wind farms, oil rigs, and gas platforms all rely on safe, efficient and reliable vessel operations for support. With GuardianAI™, vessels can collect data, conduct maintenance inspections and enhance offshore logistics.

GuardianAI™ can operate at various levels of autonomy, supporting existing vessels by optimising routes and minimising downtime or pioneering a new generation of fully autonomous platforms.

Defence

GuardianAI™ enhances operational capability, resilience, and safety for defence platforms. Designed for both surface and subsurface vessels, GuardianAI™ leverages augmented situational awareness, tactical planning and autonomous mission execution in order to reduce risk and maximise success in constrained or high-threat environments.

Seamless integration with existing defence networks and protocols makes GuardianAI™ easily adaptable to where it’s deployed.

Hydrographic and Science

Ocean exploration with GuardianAI™ allows for accurate and efficient hydrographic and scientific surveying. Autonomous surface vessels provide scalable, cost effective, and intelligent solutions for mapping the seabed, monitoring environmental conditions or conducting long-term research.

Multi-vessel coordination allows for swarm deployments, enhancing coverage and resolution for oceanographic research.

Mayflower Autonomous Ship Project