Senior Computer Vision Algorithms Engineer at Alten in Basingstoke, England, United Kingdom | Kablio

Role

Description

vision research

model optimization

system integration

algorithm design

tech scouting

team mentoring

Lead research and prototyping of new vision-based technologies using deep learning and classical methods
Optimise models for embedded platforms, edge devices, or cloud environments
Collaborate with cross-functional teams (software, hardware, product) to integrate vision systems into real-world applications
Design and develop robust computer vision algorithms for detection, classification, segmentation, and tracking
Stay current with advancements in AI, deep learning, and computer vision to apply new techniques to products
Mentor junior engineers and contribute to technical leadership within the team

Requirements

c++

python

opencv

cuda

tensorflow

cs degree

Strong mathematical foundation in linear algebra, probability, and optimisation
Strong proficiency in C++ and Python.
Proven ability to work independently while contributing effectively to a collaborative team environment
Experience with OpenCV, CUDA, and real-time processing pipelines
A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline
Excellent communication and teamwork abilities, with the confidence to present technical concepts to non-technical audiences
Experience in tracking, automation, or high-speed imaging domains
Solid understanding of classical vision techniques (e.g., feature extraction, optical flow, camera calibration)
Experience with deep learning frameworks (TensorFlow, PyTorch, etc.)
Familiarity with GPU acceleration and multi-threaded performance tuning
Strong problem-solving mindset, with the ability to take ownership of complex challenges
Comfortable working in a consultancy setting, adapting quickly to new industries and project requirements
Must have 5+ years of experience in software or vision-based system development
Experience deploying models to production (cloud, edge, or embedded)

Benefits

Social atmosphere, regular gatherings, and team buildings
A competitive salary
A personalised career path and a rewarding management style
Cycle-to-work Scheme among many additional benefits
Pension Scheme
A chance to work on the most exciting engineering projects and technologies along with Premium Customers
Private Medical Insurance
Flexible way of working (role dependent)

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1988 Founded

Year Established

The company was established in 1988 by three French engineers, marking the beginning of its journey from a boutique consultancy to a global leader.

€4B Revenue

Annual Revenue

In 2024, the company surpassed €4 billion in revenue, reflecting its growth and success in the engineering and IT sectors.

>30 Countries

Global Presence

The company operates in over 30 countries, demonstrating its extensive international reach and global influence.

50,000 Engineers

Technical Experts

With over 50,000 engineers among its 57,700 employees, the company underscores its deep technical expertise and commitment to innovation.

The company specializes in projects across various industries, including aeronautics, automotive, rail, energy, life sciences, telecommunications, and defense.
They utilize a hybrid delivery model, combining on-site consulting with offshore delivery centers across Europe, Asia, and the Americas.
The company's history is characterized by strategic acquisitions and international expansion, enhancing its offerings in IT services.

Culture + Values

Development of our people
Engineering culture
Pursuit of sustainable growth
Incorporating human values, environmental protection, and engineering culture at the heart of our CSR strategy

Environment + Sustainability

59.8% & 55% Cut

GHG Reduction Targets

Aims to reduce scope 1 & 2 GHG emissions by 59.8% and scope 3 intensity by 55% by 2030 from 2019 levels.

Net-Zero 2050

Emissions Target

Committed to achieving net-zero emissions by 2050, validated by the Science-Based Targets initiative.

12,527 MWh

Renewable Energy

Consumed 12,527 megawatt-hours of renewable energy in 2023, contributing to clean energy use.

50% Certified

ISO 14001 Compliance

Half of the company's entities are certified under the ISO 14001 environmental management standard.

4-pillar action plan: renewable energy, digital responsibility, sustainable mobility, responsible sourcing

Inclusion & Diversity

31% Women

Global Workforce Representation

Women make up 31% of the Group, reflecting strong strides toward gender diversity.

+100 Nationalities

Employee Diversity

Over 100 nationalities are represented among employees, showcasing global inclusivity.

2024 Adherence

UN Women’s Empowerment

Committed to UN Women’s Empowerment Principles, reinforcing gender equality practices.

Since 2011

CNJE Partnership

Premium partner of CNJE since 2011, actively engaging students across ~200 institutions.

Signatory of engineering charter for gender diversity
Targeted initiatives for disability inclusion and partnerships with local associations
Personalized career paths, coaching, mentoring, professional & geographic mobility programs

Articles

Role

Description

vision research

model optimization

system integration

algorithm design

tech scouting

team mentoring

Lead research and prototyping of new vision-based technologies using deep learning and classical methods
Optimise models for embedded platforms, edge devices, or cloud environments
Collaborate with cross-functional teams (software, hardware, product) to integrate vision systems into real-world applications
Design and develop robust computer vision algorithms for detection, classification, segmentation, and tracking
Stay current with advancements in AI, deep learning, and computer vision to apply new techniques to products
Mentor junior engineers and contribute to technical leadership within the team

Requirements

c++

python

opencv

cuda

tensorflow

cs degree

Strong mathematical foundation in linear algebra, probability, and optimisation
Strong proficiency in C++ and Python.
Proven ability to work independently while contributing effectively to a collaborative team environment
Experience with OpenCV, CUDA, and real-time processing pipelines
A Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related discipline
Excellent communication and teamwork abilities, with the confidence to present technical concepts to non-technical audiences
Experience in tracking, automation, or high-speed imaging domains
Solid understanding of classical vision techniques (e.g., feature extraction, optical flow, camera calibration)
Experience with deep learning frameworks (TensorFlow, PyTorch, etc.)
Familiarity with GPU acceleration and multi-threaded performance tuning
Strong problem-solving mindset, with the ability to take ownership of complex challenges
Comfortable working in a consultancy setting, adapting quickly to new industries and project requirements
Must have 5+ years of experience in software or vision-based system development
Experience deploying models to production (cloud, edge, or embedded)

Benefits

Social atmosphere, regular gatherings, and team buildings
A competitive salary
A personalised career path and a rewarding management style
Cycle-to-work Scheme among many additional benefits
Pension Scheme
A chance to work on the most exciting engineering projects and technologies along with Premium Customers
Private Medical Insurance
Flexible way of working (role dependent)

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1988 Founded

Year Established

The company was established in 1988 by three French engineers, marking the beginning of its journey from a boutique consultancy to a global leader.

€4B Revenue

Annual Revenue

In 2024, the company surpassed €4 billion in revenue, reflecting its growth and success in the engineering and IT sectors.

>30 Countries

Global Presence

The company operates in over 30 countries, demonstrating its extensive international reach and global influence.

50,000 Engineers

Technical Experts

With over 50,000 engineers among its 57,700 employees, the company underscores its deep technical expertise and commitment to innovation.

The company specializes in projects across various industries, including aeronautics, automotive, rail, energy, life sciences, telecommunications, and defense.
They utilize a hybrid delivery model, combining on-site consulting with offshore delivery centers across Europe, Asia, and the Americas.
The company's history is characterized by strategic acquisitions and international expansion, enhancing its offerings in IT services.

Culture + Values

Development of our people
Engineering culture
Pursuit of sustainable growth
Incorporating human values, environmental protection, and engineering culture at the heart of our CSR strategy

Environment + Sustainability

59.8% & 55% Cut

GHG Reduction Targets

Aims to reduce scope 1 & 2 GHG emissions by 59.8% and scope 3 intensity by 55% by 2030 from 2019 levels.

Net-Zero 2050

Emissions Target

Committed to achieving net-zero emissions by 2050, validated by the Science-Based Targets initiative.

12,527 MWh

Renewable Energy

Consumed 12,527 megawatt-hours of renewable energy in 2023, contributing to clean energy use.

50% Certified

ISO 14001 Compliance

Half of the company's entities are certified under the ISO 14001 environmental management standard.

4-pillar action plan: renewable energy, digital responsibility, sustainable mobility, responsible sourcing

Inclusion & Diversity

31% Women

Global Workforce Representation

Women make up 31% of the Group, reflecting strong strides toward gender diversity.

+100 Nationalities

Employee Diversity

Over 100 nationalities are represented among employees, showcasing global inclusivity.

2024 Adherence

UN Women’s Empowerment

Committed to UN Women’s Empowerment Principles, reinforcing gender equality practices.

Since 2011

CNJE Partnership

Premium partner of CNJE since 2011, actively engaging students across ~200 institutions.

Signatory of engineering charter for gender diversity
Targeted initiatives for disability inclusion and partnerships with local associations
Personalized career paths, coaching, mentoring, professional & geographic mobility programs

Articles