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Computer Vision Engineer
Techruiter
London
An early stage food tech company which uses deep learning-based computer vision, causal inference, and cognitive AI to change how we feed the people around the world. They are starting by providing software services to existing restaurant chains which use the live camera feed to provide augmentation for staff tasks with aim to help decision making, reduce error and cognitive load needed.

Their mission is to feed the world through a global food system which is more productive, resilient, more affordable, more sustainable, and healthier. A food system that provides accessible nutrition for everyone while preserving our planet. The team includes people with extensive experience on the creation and deployment of scalable deep tech solutions as well as industry experts who share a passion for food, happiness and our world. That is where you come in.

Responsibilities Include

    • Solve research and clients’ challenges in the field of computer vision using deep learning methods.
    • Implement and modify machine learning methods using best software development practices.
    • Train, analyse and report model performance.
    • Develop tools for further automating research and analysis.
    • The role involves pushing the boundaries of what deep learning can do, by following and building upon the latest research in the context of object detection, classification and semantic segmentation.
    • You will be joining an early-stage startup with the ability to shape our future direction both for our research and for the solutions we deliver to customers.

Requirements

    • 3+ years (required) 5+ years (desired) experience of applying machine learning and deep learning methods in the industry.
    • Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet)
    • Solid theoretical understanding of machine learning and neural networks
    • Experience with machine learning methods, such as active learning, clustering, semi-supervised learning, zero- and few-shot learning
    • Solid hands-on software development skills in Python (numpy, scipy, scikit-learn, OpenCV) and familiarity with C++
    • Ability to write clear, efficient and scalable code
    • Experience with one or more Deep Learning Framework (Pytorch, Tensorflow)
    • Analytical mindset, strong abstract thinking skills

Benefits

    • Competitive salary
    • Strong equity
    • Flexible-working
    • Open to remote working
    • 25 days holiday each year
    • Paid sick leave for physical and mental health needs
    • Unlimited fresh fruit, tea, coffee and healthy snacks provided
    • Paid maternity, paternity, adoption or shared parental leave
    • Pension
Full-time
Mid Level
Computer Vision
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SatisAI - Computer Vision Engineer
Techruiter
London
Satis.AI is an early stage food tech company which uses deep learning-based computer vision, causal inference, and cognitive AI to change how we feed the people around the world.

They are starting by providing software services to existing restaurant chains which use the live camera feed to provide augmentation for staff tasks with the aim to help decision making, reduce error and cognitive load needed.

They are surfing on the opportunity created by the food delivery disruption to bring real technological innovation into kitchens and enhance both people's experiences as well as staff and environmental impact.

With over 1/3 of all food produced globally going to waste and 25% of the world’s freshwater supply used to grow uneaten food, we are facing a global climate crisis.

The mission: to feed the world through a global food system which is more productive, resilient, more affordable, more sustainable, and healthier... all whilst preserving our planet.

The team includes people with extensive experience on the creation and deployment of scalable deep tech solutions as well as industry experts from companies like Babylon Health, Deliveroo and Thoughtworks!

Joining a small startup team, you will create a lasting impact on the company and have the opportunity to shape culture and products around your vision and personality. You, being a core member of the team, will contribute to the most imperative parts of the product development process, which includes understanding client needs through research, conceptualising complex ideas into interactive prototypes, validating ideas through user testing, designing detailed high-fidelity interfaces and exhaustively testing the product to be confident that we’re shipping a product that meets all requirements.

The Role...

    • Solve research and clients’ challenges in the field of computer vision using deep learning methods
    • Implement and modify machine learning methods using best software development practices
    • Train, analyse and report model performance
    • Develop tools for further automating research and analysis
    • Push the boundaries of what deep learning can do by following and building upon the latest research in the context of object detection, classification and semantic segmentation.

    • Experience with one or more Deep Learning Frameworks (Pytorch, Tensorflow)
    • Solid hands-on software development skills in Python (NumPy, SciPy, OpenCV, scikit-learn) and familiarity with C++
    • Solid theoretical understanding of machine learning and neural networks
    • Ability to write clear, efficient and scalable code

    • There's no expectation for you to be proficient with all of these. At the heart of it, we're looking for talented Engineers from versatile backgrounds who are interested in learning new languages and tools.
Full-time
Mid Level
Computer Vision
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Technical Lead - Computer Vision, ML and Deep Learning
Techruiter
United Kingdom - Remote
We have a fantastic new opportunity for a Technical Lead to join our mission: to feed the world through a productive, resilient and sustainable global food system!

With over 1/3 of all food produced globally going to waste and 25% of the world’s freshwater supply used to grow uneaten food, we are facing a global climate crisis.
 
This is your chance to be part of the solution!

We are developing a full stack AI operating system for the kitchens of tomorrow. We use a computer vision ecosystem in kitchens to analyse cooking processes and give actionable feedback to staff in real time to ensure better decision making.

You will be an early joiner of the team and will be exposed to an array of technical challenges whilst having the opportunity to work alongside industry leaders who have come from Babylon Health, Deliveroo and Thoughtworks!

The technology has already been deployed with global restaurant chains, helping to reduce food waste and refunds by 50%. Help us go even further!


Responsibilities

You'll be responsible for developing a scalable and extendable product which is utilised with the pilots we have with global restaurant chains. You will drive a specific agenda in a self-powered environment with autonomy, along with other brilliant members of the team, all passionate to make an impact.

More specifically:

• Frame our clients’ challenges for the team to evaluate, suggest possible solutions and then help them deliver it in meaningful, measurable chunks
• Define procedure to implement, test and maintain machine learning methods through best practices and observability tools
• Discuss and guide the team on training, analysing and reporting model performance
• Define and evaluate tools for further automating research and analysis
• Push the boundaries of current methods by following and building upon the latest research in the context of object detection, classification and semantic segmentation, and propose new methods


Requirements

• Experience with one or more Deep Learning Frameworks (Pytorch, Tensorflow)
• Solid hands-on software development skills in Python (NumPy, SciPy, OpenCV, scikit-learn) and familiarity with C++
• Solid theoretical understanding of machine learning and neural networks
• Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet)
• Experience with tooling around running, managing and reporting on experiments (Neptune, WandB, MLflow)
• Experience with delivering high-quality products based on industry-focused projects

There's no expectation for you to be proficient with all of these. At the heart of it, we're looking for talented Engineers from versatile backgrounds who are interested in learning new languages and tools.


Benefits

• Competitive salary
• Strong equity
• Flexible-working
• Unlimited fresh fruit, tea, coffee and healthy snacks provided
• Paid maternity, paternity, adoption or shared parental leave
• Pension

Want to be a part of our mission?

Then what are you waiting for, click apply and let’s see what you’ve got!
Full-time
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Computer Vision Engineer
Techruiter
London
Computer Vision Engineer

This is an opportunity for an experienced Computer Vision Engineer to join a team on a mission to scale a technology combating a global environmental crisis.

Working on a core platform leveraging computer vision to recognise actions, detect and track objects to provide real time feedback to users and connected devices (edge computing paradigm), you’ll:

- Solve computer vision challenges using deep learning methods
- Implement and develop machine learning methods using best practice
- Train and report model performance
- Build upon the latest research on object detection, classification and semantic segmentation
- Shape product and business direction 

This early stage A.I / Machine Learning driven startup has assembled a small close knit team around industry leading experts in the field of technology and A.I / Machine Learning who collaborate with global conglomerates on a mission to reverse environmental damage and build towards a sustainable future.

Their clients have reported significant reductions in waste (upto 50%) and increases in throughput (upto 10%) using the technology and urgently need the following skills to advance the product’s capabilities:

- 3+ years experience of applying machine learning and deep learning methods in commercial environments 
- Hands on development skills in Python (OpenCV, numpy, Scipy, Scikit-Learn) 
- Experience in building practical deep learning applications using detection architectures (RCNN, SSD, YOLO)

They run a hybrid flexible remote working culture, headquartered in Central London and can offer competitive market compensation packages (including equity).

Apply ASAP for more information.


Mid Level
Computer Vision
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Senior Computer Vision Expert
Techruiter
United Kingdom - Remote
We have a fantastic new opportunity for a Senior Computer Vision Expert to join our mission: to feed the world through a productive, resilient and sustainable global food system!

With over 1/3 of all food produced globally going to waste and 25% of the world’s freshwater supply used to grow uneaten food, we are facing a global climate crisis.
 
This is your chance to be part of the solution!

We are developing a full stack AI operating system for the kitchens of tomorrow. We use a computer vision ecosystem in kitchens to analyse cooking processes and give actionable feedback to staff in real time to ensure better decision making.

You will be an early joiner of the team and will be exposed to an array of technical challenges whilst having the opportunity to work alongside industry leaders who have come from Babylon Health, Deliveroo and Thoughtworks!

The technology has already been deployed with global restaurant chains, helping to reduce food waste and refunds by 50%. Help us go even further!


Responsibilities

You'll be responsible for developing a scalable and extendable product which is utilised with the pilots we have with global restaurant chains. You will drive a specific agenda in a self-powered environment with autonomy, along with other brilliant members of the team, all passionate to make an impact.

More specifically:

• Solve research and clients’ challenges in the field of computer vision using deep learning methods
• Implement and modify machine learning methods using best software development practices
• Train, analyse and report model performance
• Develop tools for further automating research and analysis
• Push the boundaries of what deep learning can do by following and building upon the latest research in the context of object detection, classification and semantic segmentation.


Requirements

• Experience with one or more Deep Learning Frameworks (Pytorch, Tensorflow)
• Solid hands-on software development skills in Python (NumPy, SciPy, OpenCV, scikit-learn) and familiarity with C++
• Solid theoretical understanding of machine learning and neural networks
• Experience with machine learning methods, such as active learning, clustering, semi-supervised learning, zero- and few-shot learning
• Experience in developing practical deep learning applications using detection architectures (Faster-RCNN, SSD, YOLO, EfficientDet)
• Ability to write clear, efficient and scalable code

There's no expectation for you to be proficient with all of these. At the heart of it, we're looking for talented Engineers from versatile backgrounds who are interested in learning new languages and tools.


Benefits

• Competitive salary
• Strong equity
• Flexible-working
• Unlimited fresh fruit, tea, coffee and healthy snacks provided
• Paid maternity, paternity, adoption or shared parental leave
• Pension

Want to be a part of our mission?

Then what are you waiting for, click apply and let’s see what you’ve got!
Full-time
Senior
Computer Vision
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Senior Software Engineering - Computer Vision and AI
Techruiter
United Kingdom - Remote
We have a fantastic new opportunity for a Senior Software Engineer to join our mission: to feed the world through a productive, resilient and sustainable global food system!

With over 1/3 of all food produced globally going to waste and 25% of the world’s freshwater supply used to grow uneaten food, we are facing a global climate crisis.
 
This is your chance to be part of the solution!

We are developing a full stack AI operating system for the kitchens of tomorrow. We use a computer vision ecosystem in kitchens to analyse cooking processes and give actionable feedback to staff in real time to ensure better decision making.

You will be an early joiner of the team and will be exposed to an array of technical challenges whilst having the opportunity to work alongside industry leaders who have come from Babylon Health, Deliveroo and Thoughtworks!

The technology has already been deployed with global restaurant chains, helping to reduce food waste and refunds by 50%. Help us go even further!


Responsibilities

You'll be responsible for developing a scalable and extendable product which is utilised with the pilots we have with global restaurant chains. You will drive a specific agenda in a self-powered environment with autonomy, along with other brilliant members of the team, all passionate to make an impact.

More specifically:

• Contribute to the most imperative parts of the product development process, including understanding client needs through research, conceptualising complex ideas into interactive prototypes and validating ideas through user testing
• Create the underlying AI platforms that are used for storing and annotating data
• Train models and run inference at scale for thousands of video streams and provide real-time actionable insights to help monitor and capture resources at scale
• Ensure that complex operations involving visual data can be performed smoothly through a web interface
• Develop a reliable backend which heavily communicates with ML models through events; our deep learning frameworks of choice is Pytorch and Tensorflow. There's no requirement for you to know these as will help you learn!

Our tech stack:

Python, Node, React, JavaScript, PyTorch, Tensorflow, Terraform, AWS and more!

There's no expectation for you to be proficient with all of these. At the heart of it, we're looking for talented Engineers from versatile backgrounds who are interested in learning new languages and tools.

The majority of our systems are in Python and our Computer Vision teams also work in Python. Therefore, we ideally would love folks to have experience with Python, but we're still open to considering people with experience in C++, Clojure or any other JVM based language.


Benefits

• Competitive salary
• Strong equity
• Flexible-working
• Unlimited fresh fruit, tea, coffee and healthy snacks provided
• Paid maternity, paternity, adoption or shared parental leave
• Pension

Want to be a part of our mission?

Then what are you waiting for, click apply and let’s see what you’ve got!
Full-time
Senior
Computer Vision
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Computer Vision Engineer
Techruiter
London
This is a global IT services company, headquartered in Saudi Arabia with an office in London working across a variety of fields from Computer Vision, Robotics, Consultancy, Digital Business and Investment.

They offer a wide range of ready-made and customised digital solutions in many areas.

They are on a journey to explore unbound opportunities for development commenced with an innovative idea fuelled by science and technology to bring to life a world of new possibilities. They cultivate innovative solutions to encounter technology and entrepreneurship challenges to develop new services and improve current procedures. They devise new innovative e-services and integrated technological solutions to spark a shift in public and private sectors' performance. Their aim is to contribute to advancing the level of services and localising information technology.

Responsibilities

    • Researching 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
    • Work cross functionally across different departments (e.g. hardware, design, ops and graphics teams)
    • BSc in Computer Science, Mathematics, Robotics, Machine Learning or something similar

Skills

    • Experience with Object Detection and Segmentation (Instance or Panoptic) ML architectures
    • Experience with ML Algorithms and feature creation (e.g. Bayesian, Random forest, MRF/CRF, HMM)
    • Understanding of Computational Geometry (Rotations, projective geometry, quaternions)
    • Programming skills in Python, and C++
    • Machine Learning Framework: TensorFlow or PyTorch
    • Experience of Traditional Computer Vision and Vision Processing Techniques: Morphology, Connected Components, Segmentation, Feature Descriptors/Tracking

Benefits

    • Competitive salary
    • Strong equity
    • Hybrid-working (2/3) days in a London office
    • 25 days holiday each year
    • Paid sick leave for physical and mental health needs
    • Paid maternity, paternity, adoption or shared parental leave
    • Pension
Full-time
Computer Vision
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Computer Vision, Robotics and NLP Engineering Roles
Techruiter
London
An opportunity to join a growing engineering team in London, working on a range of complex problems around Computer Vision, Robotics and NLP

You'll be joining a leading provider of innovative secure services and solutions to both public and private sectors across MENA. With a customer base of over 60,000 private and public organisations, you'll be part of an established business with a presence across MENA and Europe. The engineering team in London is comprised of a small group of researchers and engineers with a focus on providing autonomy and mentorship as the team starts to scale.  

Most of the projects the team in London are working on are at an MVP stage so this is an exciting opportunity to be involved in the core development of some critical areas.

Projects range from:

- Computer Vision: car damage assessments; drone inspections; attention analysis; satellite image analysis; crowd counting..

- NLP: intelligent decision support systems for judges; speech recognition..

- Hardware and Robotics: door sensors; environmental sensors; indoor route planning for autonomous deliveries

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)

Skills

    • 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.
Full-time
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Computer Vision Engineer
Techruiter
London
A cutting-edge technology company that specializes in developing innovative Machine Learning applications are seeking a talented Computer Vision Engineer to join our dynamic team and help us advance our mission of revolutionizing industries through computer vision technology.

As a Computer Vision Engineer, you will play a crucial role in the research, development, and implementation of computer vision algorithms and applications. You will work on exciting projects that involve image and video analysis, object detection, tracking, and machine learning to solve complex problems in various industries across autonomous systems and entertainment.

Responsibilities

    • Algorithm Development: Research, design, and develop computer vision algorithms to solve real-world problems, such as object detection, image segmentation, and feature extraction.
    • Data Preprocessing: Prepare and preprocess large datasets for training and testing machine learning models. Implement data augmentation techniques to enhance model performance.
    • Machine Learning: Develop and train machine learning models for image recognition, classification, and regression tasks. Fine-tune models to achieve high accuracy and robustness.
    • Object Tracking: Implement and optimize object tracking algorithms to monitor and analyze object movements in videos and image sequences.
    • Deep Learning: Utilize deep learning frameworks (e.g., TensorFlow, PyTorch) to build and deploy computer vision models. Stay updated with the latest advancements in deep learning techniques.
    • Performance Optimization: Optimize computer vision algorithms for real-time processing and efficient resource utilization.
    • Collaboration: Collaborate with cross-functional teams, including software engineers and domain experts, to integrate computer vision solutions into products and systems.
    • Documentation: Maintain thorough documentation of research, code, and experiments. Communicate findings and results effectively to both technical and non-technical stakeholders.
    • Quality Assurance: Conduct rigorous testing and validation of computer vision models to ensure accuracy, reliability, and robustness in various real-world scenarios.

Requirements

    • Bachelor's, Master's, or Ph.D. in Computer Science, Computer Vision, Machine Learning, or a related field.
    • Strong proficiency in computer vision fundamentals, including image processing, feature extraction, and object detection.
    • Proficiency in programming languages such as Python and C++.Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
    • Familiarity with GPU programming and parallel computing.
    • Strong problem-solving skills and the ability to work on challenging and complex tasks.
    • Excellent communication and teamwork skills.
    • Previous experience with computer vision projects or research is a plus.
Full-time
Mid Level
Computer Vision