Mechatronics Engineer, Faculty

Defence

Salary not provided
Python
C++
C
MatLab
Lua
Visual Studio
Git
Mid and Senior level
London

1+ day a week in office (Old Street, London)

Faculty

Making AI real

Open for applications

Faculty

Making AI real

501-1000 employees

B2BArtificial IntelligenceBig dataMachine Learning

Open for applications

Salary not provided
Python
C++
C
MatLab
Lua
Visual Studio
Git
Mid and Senior level
London

1+ day a week in office (Old Street, London)

501-1000 employees

B2BArtificial IntelligenceBig dataMachine Learning

Company mission

To help organisations across the public and private sectors use AI to understand more deeply, make better decisions and act faster.

Role

Who you are

  • As we are a growing business, we need people who take initiative and have a passion for solving complex problems
  • Educational background in computer science, electrical engineering, robotics or related fields
  • Proven industry experience working with robotics technology, in particular: mechanical & electrical integration, machine vision, programming and route planning
  • In-depth knowledge of robotics systems, including some of sensor integration, control, networking, and electronics
  • Proficiency in programming languages commonly used in robotics applications, such as C/C++, Python, ROS, and Lua
  • Experience with software development tools and environments, such as Visual Studio, Eclipse, and version control systems like Git
  • Proficiency in using simulation and modelling tools (e.g., MATLAB, Simulink) and experience with non internet connected hardware and software, including embedded systems and real-time processing
  • Practical exposure to designing, developing, testing, and troubleshooting robotics systems
  • Knowledge of robotics and similar applications in a defence context e.g. UAV guidance and navigation, bandwidth limited networking, and robust hardware design
  • An interest in working alongside our customers and to learn about the commercial aspects of the job

Desirable

  • Prior commercial experience, particularly if this involved customer-facing work or project management
  • Research experience (PhD or Postdoc) as evidenced by academic publications and conference talks
  • Working knowledge of any of following domains: electronics, control theory, computer vision, navigation, networking
  • An interest in using common machine learning algorithms as evidenced by previous work or side projects, with the ability to think creatively when an innovative solution is necessary
  • Familiarity with MLOps including deployment (on the edge), monitoring and scalability tooling

What the job involves

  • As a Mechatronics engineer in our Defence BU, fundamentally your role is to help customers and machine learning experts solve technical challenges in the development and operation of edge hardware
  • Solving problems with the best techniques for long term maintainability
  • Advising technical teams and customers as the technical authority on robotics
  • Communicating technical content at the right level both internally and to customers
  • Fostering a collaborative work environment, sharing knowledge, and bringing the best out of everyone in the team
  • Seeking out innovative ways to help Faculty grow, for example, by developing shared technical and non-technical resources

Salary benchmarks

Our take

Faculty work with companies such as Samsung, the BBC, and Just Eat to figure out what they could do with AI, and then help them to do it through implementing the right skills, strategy and software.

The team have developed a platform with large cloud computing space for accessing large amounts of data usable to design and test AI models. As businesses realise the importance of using data to drive growth and stay competitive, Faculty have focused on making AI real through real world deployments and aim provide data to organisations so that they can make better decisions.

Faculty has worked with clients in a range of different industries, including healthcare, retail, government and energy. They are just one of the many companies utilising AI, but it’s their ability to work alongside organisations and apply the findings that will really help them to succeed.

Steph headshot

Steph

Company Specialist

Insights

Top investors

Some candidates hear
back within 2 weeks

35% female employees

19% employee growth in 12 months

Company

Employee endorsements

Autonomy

"People here get a lot of trust to figure things out. They also get the chance to earn a lot of responsibility at a relatively early stage in their..."

Funding (last 2 of 3 rounds)

May 2020

$39.2m

SERIES A

Nov 2019

$10.5m

SERIES A

Total funding: $51.7m

Company benefits

  • Hybrid working: We believe people have needs, responsibilities and interests that require something different to a strict working day. We trust people to organise and take accountability for their own work and do our best to support their lives outside Faculty. We provide you with all you need to work from home, including a laptop, keyboard, chair…even Sony headphones!
  • Equity, we want you to benefit from Faculty’s growth and success
  • Unlimited holidays: We encourage each other to use this time to take a break, work on personal projects, or to spend time with their friends and family
  • Fantastic private health, optical and dental cover, for you & your family - including 24/7 unlimited virtual private GP appointments and covering pre-existing medical conditions
  • Access to mental health coaching with Sanctus
  • Lunch weekly, and more fruit, drinks and snacks than you could ever eat (for office-based employees)
  • We work hard and make sure we enjoy what we do. So we have frequent socials and informal get-togethers to help make sure you enjoy your time with us. You’ll make friends and professional connections that will last a lifetime

Company values

  • Seeking truth - We ask ourselves and each other the difficult questions, and make sure the best idea always wins
  • Execute pragmatically - We focus on what’s important, make decisions fast, and adapt as needed
  • Foster talent - At its core, Faculty is about fostering talent. It’s deeply ingrained in our DNA and we give our people the support and time they need to be the best they can be
  • Invert, always invert - We treat nothing as set in stone, and constant seek new ways to do things better

Company HQ

Old Street, London, UK

Leadership

Previously a Marie Curie Fellow in Physics at Harvard University, specialising in quantum sensing

Previously a CTO at Hillgate and Vice President at BlackRock

Angie Ma

(Co-Founder)

Previously a Scientific Consultant at Bio Nano Consulting


People progressing

Oana joined Faculty 3 years ago, swapping investment banking for tech. She initially joined as a Senior Product Designer, progressing to Product Manager and most recently to Director of Product.

After completing her Phd in Mathematics and working in research, Kim was introduced to Faculty through our Fellowship Programme. Starting as a Data Scientist, and recently being promoted.

Diversity & Inclusion at Faculty

Angie Ma headshot

Angie Ma (Co-Founder)

  • AI changes everything, and so must we to make sure our people reflect the real diversity of society. We believe that recruiting talent with diverse experiences, perspectives and backgrounds encourages people to think differently and be more creative
  • We welcome difference whether it’s ethnicity, religion, age, gender, gender identity, sexual orientation or disability so please be yourself!

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