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Form of work
SalaryJob Description:
Job vacancy: Machine Learning Engineer
Reporting to: Robotics Team Lead
Location: Bristol & Bath Science Park
Annual Salary: Subject to applicant experience
Package: 27 days annual leave
4 x salary life assurance
Group Personal Pension Scheme
Group Private Medical Insurance
Health Care Cash Plan
Overview:
The Centre for Modelling & Simulation (CFMS) is a growing, independent digital engineering
Research and Technology Organisation (RTO) providing technical expertise to help
organisations create cutting edge solutions by pioneering new approaches to product
development and enabling innovation services.
Working with commercial and research organisations of all sizes, CFMS has a full portfolio of
digital innovation capabilities, including design and analysis services, consultancy, and IT
infrastructure, CFMS uses digital innovation across the cyber-physical landscape (including a
new Robotics/AI/Computer Vision capability) to help develop more effective engineering
solutions across industrial sectors critical to the UK economy.
As a commercially focused organisation we reinvest profits from commercial activity into the
continued development of our people, facilities, and research capability.
About the role:
The Machine Learning Engineer’s role will be to develop and implement Machine Learning
models for various robotic, aerospace and energy network applications working on a mix of
real and synthetic data. The role will support different types of use cases ranging from image
classification on embedded systems to cloud based analysis solutions. In this role, you will
support the design and implementation of a whole pipeline for model training, validation,
and from cloud to edge based robotic deployments. This will be applied in a range of exciting
and first of a kind applications in several sectors including space exploration, industrial
inspection and aerospace.
- Research, develop and implement algorithms to perform image and video
- Take ownership of developed ML products for commercialisation
- Support the development of pipeline for rapid dispatching ML models onto edge
- Work with robotic engineers and the wider teams including modelling and simulation
- Work with front end developers to build tools which allow uploading custom data
and labelling it, as well as displaying various metrics illustrating the quality of dataset
and trained model
- Work on vision-based inspection systems for aerospace industry
- Support model deployment onto CFMS data centre
- Maintain awareness of new and emerging Machine Learning technologies
- Provide support and advice to the wider technical team
- Presentation of results at national conferences and trade shows
- Minimum 2-3 years of experience of developing and implementing Machine Learning
models for industrial or research applications post graduation in vision based
applications
- Preferably a post-graduate degree in a relevant discipline such as machine (including
- Being able to demonstrate technical leadership is nice to have
- Strong mathematical background, including a knowledge of the underlying
- Experience of applying a range of Machine Learning techniques, such as classification
- Experience with a range of Deep/Machine Learning toolsets and development
- Proficient in programming in Python and C++. Knowledge of edge based deployment
(e.g. Nvidia Jetson) and parallelisation techniques (e.g. MPI or CUDA) would be highly
desirable
- Awareness of developing web servers
- Awareness of using docker containers
- Awareness of ROS, ROS2, or similar frameworks
- Working knowledge of software development techniques including version control,
- Experience of working within multidisciplinary teams to implement Machine Learning
- Experience of dealing with competing stakeholders, both internal and external
- Strong verbal and written communication skills, including presenting complex topics
to a wide range of audiences
How to Apply:
Email your CV and covering letter to careers@cfms.org.uk. If you would like further
information on the role please contact us on the email above or call 0117 906 1100.
Applicants must be eligible to work in the UK.
Direct applications only - no agencies.
