Computer Vision Engineer
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Job Summary
Job Description
Overview
The nuclear sector is tackling some of the most complex challenges of our timemodernising infrastructure enhancing safety and accelerating the transition to low-carbon energy. Our Digital Products and Technology (DP&T) team partners with clients to address these challenges by building secure scalable solutions that integrates IoT robotics and engineering data.
As a Computer Vision Engineer you will contribute to the design development and deployment of productiongrade computer vision systems supporting both intelligence generation and autonomous action. You will work in multidisciplinary teams alongside engineers consultants and domain experts transforming complex technical problems into robust reusable and maintainable solutions with realworld impact.
Your role
You will be involved across the full computer vision lifecycle from problem definition through to deployment and continuous improvement.
- Problem framing & solution design: Translate product robotics or inspection needs into wellscoped computer vision tasks and endtoend processing pipelines.
- Data pipelines: Plan and execute data collection curation augmentation and annotation strategies for computer vision datasets.
- Modelling & algorithms: Implement adapt and finetune computer vision models and methodologies spanning both 2D and 3D techniques.
- Model & pipeline evaluation: Define and implement appropriate performance metrics (accuracy robustness latency efficiency) and carry out structured error and failuremode analysis.
- Optimisation & deployment: Optimise models and pipelines for deployment on edge and accelerated platforms balancing accuracy latency resource usage and reliability.
- Integration & productionisation: Build and maintain productiongrade inference and processing services suitable for diverse deployment environments. Use version control CI/CD and dataset/model versioning to support reproducible and maintainable delivery.
About You
- Proficient in Python and / or C with hands on experience with tools such as PyTorch and OpenCV.
- Understanding and proven experience utilising a wide range of computer vision algorithms including:
- Classical deterministic image processing.
- 2D based deep learning including object detection and similar processes.
- 3D scene reconstruction and spatial reasoning.
- Image translation alignment and warping.
- Experience managing the full model lifecycle: training validation tuning deployment maintenance and iterative improvement.
- Understanding of hardware acceleration for development and deployment including technologies such as CUDA DirectML and ONNX execution providers.
- Solid experience using Git (or equivalent) and working within CI/CD pipelines.
- Ability to produce clear structured technical documentation including design decisions data and model lineage evaluation results and operational guidance suitable for both engineering and nonspecialist stakeholders.
- Experience using opensource data labelling tools (e.g. Label Studio or similar).
- Experience integrating multimodal vision data including:
- Standard 2D imagery (colour and grayscale).
- Depth sensing technologies.
- Hyperspectral imagery.
- Xray and gamma imaging.
Bonus Skills That Help You Thrive. These arent required but theyll help you make an even greater impact:
- Embedded and edge acceleration including CUDA cuDNN and TensorRT.
- Advanced 3D representations such as NeRFs and Gaussian Splatting.
- Experience with 3D visualisation or simulation engines (e.g. NVIDIA Omniverse Unity Unreal).
- Model explainability techniques (e.g. class activation maps).
- CI/CDbased testing of ML and computer vision pipelines.
- Understanding of opensource licensing and its implications in commercial and regulated environments.
Reward & benefits
Explore the rewards and benefits that help you thrive at every stage of your life and your career. Enjoy competitive salaries employee rewards and a brilliant range of benefits you can tailor to suit your own health wellbeing financial and lifestyle choices. Make the most of a myriad of opportunities for training and professional development to grow your skills and expertise. And combine our hybrid working culture and flexible holiday allowances to balance a great job and fulfilling personal life.
About AtkinsRéalis
Additional information
Security clearance
This role may require security clearance and offers of employment will be dependent on obtaining the relevant level of clearance. If this is necessary it will be discussed with you at interview. The vetting process is delivered by United Kingdom Security Vetting (UKSV) and may require candidates to provide proof of residency in the UK of 5 years or longer. If applying to this role please do not make reference to (in conversation) or include in your application or CV details of any current or previously held security clearance.
We are committed to creating a culture where everyone feels that they belong - a place where we can all be ourselves thrive and develop to be the best we can be. So we offer a range of family friendly inclusive employment policies flexible working arrangements and employee resource groups to support all employees. As an Equal Opportunities Employer we value applications from all backgrounds cultures and ability.
Worker Type
EmployeeJob Type
RegularAt AtkinsRéalis we seek to hire individuals with diverse characteristics backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender ethnic or national origin sexual identity and orientation age religion or disability but enriches itself through these differences.
Required Experience:
IC
Key Skills
- Graphic Design
- Indesign
- Camera Projection
- Colour Correction
- Computer Graphics
- Proprietary Software
- Windows
- Coversion Process
- Art Direction
- Visual Effects Management
- Adobe Photoshop
- Proofread
- Layout
- AutoDesk Maya
- Matte Painting
About Company
We are a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world’s infrastructure and energy systems.
