Current Positions

R&D Engineer: Visual Odometry

REF: 0002

Starting October 2018

Machines With Vision Ltd (MWV) is an exciting engineering/AI product company focused on developing localisation-as-a-service for use on railways, self-driving cars and mobile robotics.

Based in Edinburgh, UK, the company has over the last 2 years developed its key technology from proof-of-concepts and prototypes, and is now looking to develop commercial products from this. The company is consequently expanding, based on funding from client projects, innovation awards and an investment round.

As part of this, MWV are in the process of securing a Scottish Enterprise R&D SMART award. This is proposed to further enhance our products with novel improvements to our underlying technology. This full-time role will focus on developing new algorithms for motion estimation delivered as part of the Core R&D team over an initial 1 year period. Ongoing further R&D is expected to then follow from this. 

Ideally this would suite an experienced, enthusiastic and pragmatic individual. There is still a predominate start-up culture in the company, so it would suit someone very much a self-starter and autonomous in their own right. There will be many open challenges and problems to overcome, but the potential opportunities and satisfaction are equally proportionate to these. 

Requirements:

You will act in a crucial role on this project as a key developer able to understand and build on existing state-of-the-art algorithms in the context of MWV's existing technology. You will report to the R&D Core team lead, and interact with other MWV product teams.

  • Evidence of good algorithmic understanding/implementation of vision based features, tracking and motion estimation.
  • Experience/interest in as many of these areas as possible: AI and machine learning, computer vision, robotics,  control systems. Linux and/or MacOS development.
  • Ideally fluent in C and C++ and Python and with numerical and ML/CV libraries and other technologies such as CUDA and ROS.
  • A M.Sc. (or Ph.D.) in relevant numerate/computational discipline. 
  • Agile team and/or team lead exposure (or at least good knowledge of what’s involved).
  • Any relevant background in automative and especially in autonomy would be extremely relevant.
  • Understanding/knowledge of event-based/neruromorphic systems advantageous but not essential.

Benefits:

  • Join an exciting and dynamic team at a formative moment in the creation of an entirely new business.
  • Grow with us as we scale and make a difference in what we do to the future of transport.
  • Respectable industry salary and share options.
  • Flexible working hours. 
  • Central Edinburgh location.
  • Employer pension scheme.

R&D Engineer: Embedded Processing 

REF: 0003

Starting October 2018

Machines With Vision Ltd (MWV) is an exciting engineering/AI product company focused on developing localisation-as-a-service for use on railways, self-driving cars and mobile robotics.

Based in Edinburgh, UK, the company has over the last 2 years developed its key technology from proof-of-concepts and prototypes, and is now looking to develop commercial products from this. The company is consequently expanding, based on funding from client projects, innovation awards and a investment round.

As part of this, MWV are in the process of securing a Scottish Enterprise R&D SMART award. This is proposed to further enhance our products with novel improvements to our underlying technology. This full-time role will focus on embedded hardware implementation of algorithms for motion estimation delivered as part of the Core R&D team over an initial 1 year period. Ongoing further R&D is expected to then follow from this. 

Ideally this would suite an experienced, enthusiastic and pragmatic individual. There is still a predominate start-up culture in the company, so it would suit someone very much a self-starter and autonomous in their own right. There will be many open challenges and problems to overcome, but the potential opportunities and satisfaction are equally proportionate to these. 

Requirements:

You will act in a crucial role on this project by understanding and translating our novel algorithms for vision based motion estimation into real-time working technology. You will report to the R&D Core team lead, and interact with other MWV product teams, as well as external hardware sub-contractors.

  • Evidence of good embedded development understanding/implementation of real-time vision systems.
  • Experience/interest in as many of these areas as possible: AI and machine learning, computer vision, robotics, control systems. Linux and/or MacOS development.
  • Ideally fluent in C and C++ and Python and with numerical and ML/CV libraries and other technologies such as CUDA and ROS.
  • A M.Eng, M.Sc. (or Ph.D.) in relevant numerate/computational discipline for embedded hardware/development. 
  • Agile team and/or team lead exposure (or at least good knowledge of what’s involved).
  • Any relevant background in automative and especially in autonomy would be extremely relevant.
  • Understanding/knowledge of event-based/neruromorphic systems advantageous but not essential.

Benefits:

  • Join an exciting and dynamic team at a formative moment in the creation of an entirely new business.
  • Grow with us as we scale and make a difference in what we do to the future of transport.
  • Competitive industry salary and share options.
  • Flexible working hours. 
  • Central Edinburgh location.
  • Employer pension scheme.

Product Engineer: Localisation

REF: 0004

Starting October 2018

Machines With Vision Ltd (MWV) is an exciting engineering/AI product company focused on developing localisation-as-a-service for use on railways, self-driving cars and mobile robotics.

Based in Edinburgh, UK, the company has over the last 2 years developed its key technology from proof-of-concepts and prototypes, and is now looking to develop commercial products from this. The company is consequently expanding, based on funding from client projects, innovation awards and an investment round.

As part of this, MWV have successfully secured a prestigious UK Connected and Autonomous Vehicles (CAV) alongside and equally competitive Train Operators Competition (TOC) project. These are large projects with a number of major collaborators (e.g. Network Rail, JLR)  working initially over 24 and 18 months - but with ongoing product development thereafter. This is then an exciting opportunity to help develop further MWV’s technology around localisation for both projects.

Ideally this would suite an experienced, enthusiastic and pragmatic individual. There is still a predominate start-up culture in the company, so it would suit someone very much a self-starter and autonomous in their own right. There will be many open challenges and problems to overcome, but the potential opportunities and satisfaction are equally proportionate to these. 

Requirements:

You will act in a central role requiring understanding and ability in translating R&D and extending existing software to produce quality assured, real-time working localisation for both of our products. You will report to both the RailLoc and RoadLoc team leads and interact with both MWV product teams and the R&D Core team. You will also be expected to help support actual customer deployments.

  • Key expertise/interest in visual based processing - particularly motion estimation and localisation (e.g. SLAM).
  • Experience/interest in as many of these areas as possible: AI and machine learning, computer vision, robotics, control systems, GIS/mapping. Linux and/or MacOS development.
  • Ideally fluent in C and C++ and Python and with numerical and ML/CV libraries and other technologies such as CUDA and ROS.
  • M.Eng./B.Sc.(hons) or above in relevant numerate/computational discipline.
  • Agile team and/or team lead exposure (or at least good knowledge of what’s involved).
  • Any relevant background in automative or rail would be extremely relevant.
  • Understanding/knowledge of event-based/neruromorphic systems advantageous but not essential.

Benefits:

  • Join an exciting and dynamic team at a formative moment in the creation of an entirely new business.
  • Grow with us as we scale and make a difference in what we do to the future of transport.
  • Competitive industry salary and share options.
  • Flexible working hours. 
  • Central Edinburgh location.
  • Employer pension scheme.

How to Apply

Please send your CV to us at jobs@mwv.ai with the Job Reference in the subject title. It's very helpful as well if you can be clear about your existing rights to work in the UK (i.e. visa status).

If we think there's a match we'll get right back to you to organise a time for an initial chat at our office. Following that we would then hope to interview as soon as possible. The interview will usually take the form of half-a-day and will involve you investigating in advance a challenge we set you (this should take no more than 2-4 hours of your time beforehand). We will also quiz you on what you've done and what you would like to be doing. You'll also get every chance to ask us questions and to meet the rest of the team.

Personal data held with regard to your application will be deleted after the recruitment process, in line with our data protection policy. 

Machines With Vision is an equal opportunities employer.