Job Description

Overview

The nuclear sector is tackling some of the most complex challenges of our time—modernising 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 production‑grade 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 real‑world 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 well‑scoped computer vision tasks and end‑to‑end processing pipelines.
• Data pipelines: Plan and execute data collection, curation, augmentation, and annotation strategies for computer vision datasets.
• Modelling & algorithms: Implement, adapt, and fine‑tune 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 failure‑mode 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 production‑grade 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 non‑specialist stakeholders.
• Experience using open‑source data labelling tools (e.g. Label Studio or similar).
• Experience integrating multi‑modal vision data, including:
  • Standard 2D imagery (colour and grayscale).
  • Depth sensing technologies.
  • Hyperspectral imagery.
  • X‑ray and gamma imaging.

Bonus Skills That Help You Thrive. These aren't required, but they'll 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/CD‑based testing of ML and computer vision pipelines.
• Understanding of open‑source 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.

Be rewarded. Find out more.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

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

Employee

Job Type

Regular

At 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.