Algorithms Engineer (Edinburgh)

We are proud to have and promote a healthy work-life balance in a friendly, collaborative working environment. Some of the benefits include: 

• Competitive salary and shared employee / employer contributory pension scheme
• Generous holiday entitlement and option to buy additional holidays after 1 year of service.
• Travel compensation scheme
• Clear development, training and career progression opportunities
• Flexible Working Policy
• Opportunities to travel to great locations worldwide to work with robots
• External, online training courses and in-house training
• Offices in the centre of Edinburgh and Bristol, two great cities to live and work
• Free access to a gymnasium (Edinburgh)/Fitness Sessions (Bristol)/Table Tennis (Bristol)
• On-site parking (Edinburgh)
• Enhanced family friendly policies
• Showers, lockers, swipe access internal bike store
• Travel season ticket loan
• Annual company day out
• Save money on your commute as SeeByte participates in the Cycle to Work Scheme and Travel season ticket loan.  SeeByte also supports an EV leasing scheme

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 SeeByte'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 SeeByte's exciting software systems for uncrewed systems.

• 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 SeeByte'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 SeeByte CTO and other research staff to shape SeeByte’s research strategy. 

• 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.

• 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 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.

To apply please send a recent copy of your CV and a cover letter to hr@seebyte.com 

As an inclusive employer, SeeByte aims to build diverse teams by encouraging applications from a wide range of individuals.