Computer Vision
Robotics and NLP Engineering Roles
Confirmed live in the last 24 hours
Techruiter

11-50 employees

Flexible tech recruitment services with personalized approach
Company Overview
Techruiter. stands out as a leading tech recruitment company due to its results-oriented approach, flexibility in adjusting to clients' hiring needs, and a vast network of over 50,000 tech experts. Their culture is centered around caring for candidates and providing a seamless experience, as evidenced by their high rating of 4.9 out of 5 based on 768 reviews. The company's competitive advantage lies in its team of knowledgeable recruiters who have successfully filled challenging roles for renowned tech companies, demonstrating their industry leadership and technical expertise.
Consulting

Company Stage

N/A

Total Funding

N/A

Founded

2019

Headquarters

, United Kingdom

Growth & Insights
Headcount

6 month growth

-35%

1 year growth

-27%

2 year growth

-43%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
Tensorflow
Data Structures & Algorithms
Pytorch
Natural Language Processing (NLP)
Computer Vision
CategoriesNew
AI & Machine Learning
Applied Machine Learning
Robotics & Autonomous Systems
Computer Vision
Requirements
  • Experience with Object Detection and Segmentation (Instance or Panoptic) ML architectures
  • Experience with ML Algorithms and feature creation
  • Understanding of hardware and robotics
  • Programming skills in Python and C++
  • TensorFlow, PyTorch, OpenCV, Yolo, RCNN
  • BSc or MSc in a technical field related to Engineering, Mathematics, Robotics, AI etc.
Responsibilities
  • Implementing image level features for downstream vision tasks (including learned and hand crafted features)
  • Creating sensor data collection software for on site data collection and validating vision algorithms
  • Optimising vision algorithms for target embedded architectures
  • Working on virtualisation and dockerization, deploying models to cloud services and hardware
  • Work cross functionally across different departments (e.g. hardware, software, product)