Algorithms Engineer

🔒 Confidential Employer
Posted 24 March 2026
LOCATION
Edinburgh
TYPE
Full-time
LEVEL
Mid-Senior level
SALARY
£55,000 / year
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Algorithm development Data fusion Path-planning Machine learning Python MATLAB C/C++

FULL DESCRIPTION

[Employer hidden — view at passion-project.co.uk] is seeking an Algorithms Engineer to join their team in Edinburgh. The role involves developing algorithms for sensor processing, data fusion, path-planning, and physical modeling for uncrewed maritime systems. The position offers opportunities for career progression and training within a dynamic technology company.

Algorithms Engineer

- Location: Edinburgh - Salary: up to £45,000 -£55,000 (or pro-rata) + pension scheme and discretionary bonus - Job Type: Permanent, Full-time or Part-time

[Employer hidden], the global leader in developing of smart software solutions for uncrewed maritime systems, are looking to recruit an Algorithms Engineer to join their team in their Edinburgh office (60% of time in office).

Why join us:

You will have a unique opportunity to play a significant role in a dynamic and world-respected technology company within the exciting field of robotics, with clear development, training and career progression opportunities provided.  This is a fantastic opportunity to work for a people focused, innovative and forward-thinking company with an international client base.

We are proud to promote a healthy work-life balance in a casual working environment. Some of our benefits include:

•    Competitive salary, discretionary bonus and shared employee /employer contributory pension scheme •    Generous holiday entitlement, plus option to buy additional holidays after 1 year of service •    Travel compensation scheme (season ticket loan, cycle to work Scheme, EV leasing scheme) •    Clear development, training and career progression opportunities •    flexible working policy  •    Professional development opportunities (online and in-house training & development) •    Office in the heart of Edinburgh •    Free onsite gym (Edinburgh) •    Free on-site parking (Edinburgh) •    Enhanced family friendly policies •    Annual company day out

Main purpose of the role:

You will work as part of a multi-disciplinary research team to model physical systems, develop robust algorithms for tasks such as path-planning, navigation and data fusion, and translate theoretical concepts into real-world solutions for [Employer hidden]'s customers worldwide. 

Support and training will be given to allow you to develop within the role and become an expert modeller and algorithms engineer, developing the algorithms that drive [Employer hidden]'s exciting software systems for uncrewed systems.

Key Responsibilities of the role:

  • Develop, implement and test algorithms related to sensor processing, data fusion, path-optimisation, scheduling, and physical modelling.
  • Build and analyse mathematical models of physical systems, sensors, and autonomous behaviours.
  • Assess state-of-the-art literature and propose suitable algorithm investigation and development based on project requirements, scope and budget.
  • Collaborate with [Employer hidden]'s teams of specialised software engineers and roboticists to understand requirements and integrate solutions into our software products.
  • Work within teams spanning from proof-of-concept and prototyping phases, right through to delivery of robust, trusted software products.
  • Use experimental data and user feedback to analyse system performance and refine models and algorithms.
  • Stay current with relevant literature in applied mathematics and robotics.
  • Present results to relevant internal and external stakeholders and work with the [Employer hidden] CTO and other research staff to shape [Employer hidden]’s research strategy.

Key Skills, Experience and Qualifications:

  • A strong academic background in mathematics, physics, engineering, or a related field (e.g., BSc / MSc / PhD).
  • Solid understanding of statistics, linear algebra, probability, optimisation, and machine learning techniques.
  • Experience with algorithm development, numerical methods, or physical simulation.
  • Proficiency in at least one programming language commonly used for scientific computing and prototyping (e.g., Python, MATLAB, R).
  • Familiarity with version control tools (e.g., Git) and collaborative software development.
  • Ability to clearly explain complex technical concepts, both verbally and in writing, to technical and non-technical audiences.

Desirable Experience:

  • Developing machine learning models, especially in the context of reinforcement learning or computer vision.
  • Robotics or autonomous systems (e.g., path-planning problems, use of ROS).
  • Software development best practices (e.g., testing, documentation, continuous integration).
  • Working knowledge of C/C++.

You will stand out if:

  • You are customer focussed and keep the customers’ needs at the forefront of your mind.
  • You communicate clearly, respectfully and collaborate effectively across teams. You explain complex issues in a concise and professional manner and thrive in a team environment.
  • You actively foster a positive, inclusive culture and willingly share your knowledge and support others.
  • You are passionate about learning and growth and are motivated to expand your skills, ask questions, and engage actively in your development.

Apply

To apply please send a recent copy of your CV and a cover letter to [contact hidden]

At [Employer hidden] we are committed to creating an inclusive and accessible workplace and are committed to employee wellbeing. If you have any accessibility requirements or adjustments to support you through the recruitment process, please do let us know.

Because of the nature of the work associated with this post it is subject to special nationality rules, and this post is restricted to individuals who are UK British Nationals. For this role, due to government security requirements, the term ‘UK Nationals’ must exclude anyone who is a dual national or naturalised British (i.e. originally a foreign national).

All offers of employment will be conditional to a Baseline Personal Security Standard (BPSS) process and may require further SC (SC) once employed. To be eligible for full SC, you generally need to have resided in the UK for the last 5 years. In some circumstances, a minimum of 3 years’ residence in the UK over the last 5 years may be accepted, with additional overseas checks. Please visit the UKSV website for further guidance - United Kingdom Security Vetting - GOV.UK -https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearance-levels/sc-guidance-pack-for-applicants

As part of this process, [Employer hidden] collects Personal Data as defined under UK GDPR including proof of identity, nationality and immigration status, right to work in the UK, employment and/or academic references and Basic Disclosure information for unspent criminal convictions. Please see details pertaining to your personal data in our Privacy Notice which can be found athttps://www.[Employer hidden].com/privacy-policy

NO RECRUITMENT AGENCIES PLEASE

Sign up free — access 45,000+ UK sponsor-licensed jobs