Senior Computer Vision

1 week ago

London Area, United Kingdom Astek International Full time

We are seeking a
Senior Computer Vision / Multimodal Engineer
to design, train, and deploy advanced vision models for object detection, segmentation, tracking, and behavior analysis within real-world retail and mobility environments. You will play a key role in optimizing real-time performance for edge and cloud systems, developing robust inference pipelines, and pushing the boundaries of multimodal AI.

This is an exciting opportunity to work on
cutting-edge visual AI
that impacts real-world applications, collaborating with a highly skilled team of data scientists, engineers, and product experts.

Key Responsibilities

  • Design, train, and deploy
    Computer Vision models
    for detection, segmentation, tracking, and behavior understanding.
  • Optimize
    inference pipelines
    for real-time performance on
    edge devices
    (e.g., NVIDIA Jetson, Coral) and
    cloud infrastructure
    .
  • Collaborate with
    data and product teams
    to define new use cases, prototype solutions, and take models from lab to production.
  • Develop
    synthetic data generation pipelines
    and augmentation strategies to enhance robustness across lighting conditions, formats, and environments.
  • Research and integrate
    state-of-the-art Vision Transformers (ViTs), Large Vision Models (LVMs), and Multimodal AI
    into production workflows.
  • Work with
    CCTV and multi-camera systems
    for tracking, localization, and behavior analytics.
  • Build proof-of-concept systems, perform real-world validation, and continuously improve accuracy and performance.

Requirements

  • 5–7 years
    of experience in
    Computer Vision and Deep Learning
    with deployed production models.
  • Strong proficiency in
    Python
    and
    PyTorch
    ; hands-on experience with
    OpenCV, TensorRT, ONNX, or Triton
    .
  • Proven expertise in
    object detection/tracking models
    such as
    YOLO, Deep SORT, DINOv2
    , or similar.
  • Experience with
    real-time or low-latency processing
    ,
    multi-threaded programming
    , and
    performance tuning
    .
  • Experience deploying and optimizing models on
    edge devices
    (Jetson, Coral, etc.).
  • Demonstrated passion for
    research, innovation, and emerging AI technologies
    .
  • Experience in
    3D modeling
    or
    video behavior analytics
    is a plus.

ONLY CANDIDATES WITH THE REQUIRED SKILLS AND EXPERIENCE SHOULD APPLY TO THIS JOB

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