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Computer Vision Engineer

Job in Telford, Shropshire, WV99, England, UK
Listing for: DeterTech Holdings Limited
Full Time position
Listed on 2025-12-25
Job specializations:
  • Engineering
    Computer Science, AI Engineer
  • IT/Tech
    Machine Learning/ ML Engineer, Computer Science, AI Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Computer Vision Engineer

Department: Engineering/Technology

Employment Type: Full Time

Location: UK

Reporting To: Nick Graham

Description

Make a difference:

At Deter Tech we give peace of mind to people and communities, every day. Making the world a safer, more secure place is what matters to us. And it’s what sets us (and you, if you join us…) apart from the crowd. Deter Tech continues to grow and has big plans for the future. Join us and see how you can contribute to our future success.

Key Responsibilities

Technical background to provide expert guidance and technical support in both embedded and cloud-based machine learning solutions, with specific focus on Computer Vision. Additionally, be responsible for designing and implementing Data Pipelines. Solid understanding of Software Development, with a passion for data and AI.

  • Provide technical guidance for the development of computer vision solutions.
  • Implement state of the art machine learning algorithms.
  • Design and develop robust computer vision algorithms for detection, classification and segmentation.
  • Design and develop engineering solutions to meet project requirements.
  • Conduct detailed analysis, testing, and validation of designs or systems.
  • Provide technical guidance and contribute to problem-solving efforts.
  • Collaborate with cross-functional teams to optimise performance and efficiency.
  • Ensure compliance with industry regulations, standards, safety guidelines, GDPR compliance etc.
  • Contribute to project planning, budgeting, and resource management.
Requirements
  • Extensive computer vision / machine learning knowledge gained in an engineering function.
  • Strong understanding of classical computer vision techniques.
  • Degree qualification within a suitable discipline, masters is a bonus.
  • 3-5 years of professional engineering experience.
  • >

    Strong understanding of engineering principles, tools, and best practices.
  • Experience working with relevant industry software, modelling, or simulation tools.
  • Ability to manage project components independently and meet deadlines.
  • Excellent analytical, troubleshooting, and decision-making skills.
Skills & Experience
  • Experience working with popular machine learning frameworks.
  • Experience using high performance deep learning models for image processing.
  • Optimise models for embedded platforms / edge devices.
  • Stay up-to-date with advancements in deep learning and computer vision to apply new techniques to products.
  • Collaborate with stakeholders to understand business objectives, challenges, and identify opportunities where Computer Vision solutions can add value.
  • Provide expert guidance and consulting services on computer vision strategy, implementation, and best practices, ensuring alignment with business goals and industry standards.
  • Develop and implement scalable and efficient solutions to support algorithms and models, ensuring robustness, reliability, and performance optimisation.
  • Design and develop machine learning solutions, both device embedded and cloud-based services on Cloud Providers like AWS, GCP, or Azure.
  • Collaborate with cross-functional teams to implement machine learning models and algorithms and establish a training and learning strategy specific to Deter Tech’s needs.
  • Stay up to date with the latest trends and advancements in cloud-based and Computer Vision technologies.
  • Take ownership of the implementation of the suggested solutions.
  • Experience working with cloud-based platforms, preferably AWS, is favourable.
  • Good coding skills gained using any of C, C++, C#, Java also favourable.
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