Computer Vision Engineer jobs in England
- SAIF Systems LtdDidcot OX11 0GD
- Mentor and provide technical guidance to junior embedded software engineers.
- Collaborate with cross-functional teams, including hardware engineers, systems…
- viso.ai AGLondon E14·
- Develop cutting-edge computer vision capabilities for our platform.
- Evaluate and benchmark the performance of different computer vision frameworks.
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- Yepic AILondon·
- 3+ years of experience in machine learning and computer vision, with practical application of generative models.
- Experience with CI/CD processes and tools.
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- MotorwayLondon·
- Develop, deploy, and maintain high-performance computer vision models in production environments.
- We're searching for an enthusiastic Machine Learning Engineer…
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- Bumble Inc.Hybrid work in London·
- Participate in cutting-edge research in computer vision.
- Concretely, we are looking for talents with a deep understanding of computer vision algorithms and rich…
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- SnapchatHybrid work in London·
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- MBDAHybrid work in Bristol BS34 7QS·
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- ContilioHybrid work in London·
- High proficiency in 3D AI & computer vision and related frameworks/libraries.
- Total 7+ years of relevant work experience in 3D computer vision, machine vision,…
- Devi TechnologiesRemote in BirminghamEmployerActive 16 days ago·
- Solid understanding of computer vision techniques and algorithms.
- Collaborate with engineering teams to integrate computer vision solutions into products.
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- Notchup (formerly codemonk.ai)LondonEmployerActive 29 days ago·
- Experience with natural language processing (NLP) or computer vision.
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- lowRISC CICHybrid work in Cambridge CB2 1GE·
- The goal of OpenTitan is to make it possible to create high-quality hardware Roots of Trust (RoT) using open source designs.
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- AutoneLondon·
- Collaborate with our product team to understand requirements and develop technical solutions.
- Implement, monitor, and deploy advanced statistical and machine…
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Job Post Details
Principal Embedded Systems Engineer - job post
Job details
Here’s how the job details align with your profile.Pay
- £50,000 - £60,000 a year
Job type
- Full-time
Shift and schedule
- Weekend availability
- Monday to Friday
Location
BenefitsPulled from the full job description
- Car scheme
- Casual dress
- Company events
- Company pension
- Cycle to work scheme
- Employee discount
- Employee stock purchase plan
Full job description
Principal Embedded Systems Engineer - CANDIDATES MUST APPLY VIA THIS LINK: https://saifsystemsltd.recruit.charliehr.com/careers
SAIF Systems is building the next generation of safety-tech that will unlock the true benefits of AI and Autonomous Systems, for humanity.
We are looking for candidates that want to help rapidly grow our company, contributing to the strategic and technical direction of our high performing team. If you are looking for a challenge, potential for significant career progression internally as we grow and opportunities to significantly change the way autonomy is used across multiple industries world wide, then we would like to hear from you.
Location: Oxford, UK/Hybrid
Compensation: £50,000 - £60,000 DOE
Employment Type: Permanent – Full Time
Must be a UK Citizen
Department: Engineering
Reporting To: CTO
The Role
SAIF Systems is seeking an exceptional Principal Embedded Systems Engineer to join our team building cutting-edge Runtime Assurance systems for AI and robotics applications. You will play a vital role in developing the safety-critical embedded software components that ensure the safe and reliable operation of our solutions.
SAIF Systems offers a competitive compensation package, excellent benefits, and the opportunity to work on cutting-edge technologies that shape the future of AI and robotics safety.
Responsibilities
- Lead the design, development, and implementation of embedded software for SAIF Systems' Runtime Assurance platform across various hardware architectures and real-time operating systems.
- Ensure compliance with industry standards, regulations, and best practices for safety-critical software development, such as DO-178C, ISO 26262, and IEC 61508.
- Collaborate with cross-functional teams, including hardware engineers, systems architects, and AI/ML experts, to integrate embedded software components seamlessly into the overall system.
- Conduct code reviews, performance optimizations, and thorough testing (unit, integration, and system-level) to maintain the highest quality standards.
- Contribute to the continuous improvement of the team's software development processes, tooling, and methodologies.
- Mentor and provide technical guidance to junior embedded software engineers.
Key Skills and Experience
- Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field, or equivalent experience, with a strong focus on embedded systems and real-time software development.
- Extensive hands-on experience in embedded software development, with a proven track record in delivering safety-critical systems.
- Proficiency in C/C++ and experience with real-time operating systems (e.g., FreeRTOS, VxWorks, QNX) and embedded hardware architectures (e.g., ARM, x86, FPGA).
- Solid understanding of software development methodologies, such as Agile, Continuous Integration, and Test-Driven Development.
- Experience with safety-critical software development standards and certification processes (e.g., DO-178C, ISO 26262, IEC 61508).
- Strong problem-solving, analytical, and debugging skills.
- Excellent communication and collaboration abilities, with the ability to work effectively in cross-functional teams.
Benefits
- SAIF offer a salary sacrifice pension with a 5% matched company contribution.
- EV Car Scheme.
- Cycle to Work Scheme.
- EMI Options Scheme (Coming shortly)
- More exciting benefits to come as we grow.
About SAIF Systems
SAIF's software enables assured, trustworthy deployment of both traditional deterministic autonomy and AI or novel control methods, in any application, for the first time.
We are creating products that enable the deployment of AI in safety-critical applications by solving the problem of AI-integration and assuring non-deterministic controllers, guaranteeing safe and secure AI behaviour.
We do all of this across multiple domains including; space systems, UAVs, off road autonomous vehicles, industry 4.0/smart infrastructure and uncrewed surface and sub-surface vessels.
Vision:
To be global leaders in novel control assurance, pioneering trusted and ethical autonomy for humanity.
Purpose:
To set global industry standards and enable complex autonomous systems to operate safely and predictably, with optimum performance and efficiency. Bringing inherent trust and safety to all autonomous systems.
Our Values
- Be Safe – We exist to make autonomous systems as safe as possible, so we must maintain the highest standards of safety and security as a company. (Also, it would have been a missed opportunity if we didn’t have this as a value!)
- Be Curious – We are working at the cutting edge of safety engineering, AI and robotics. We are developing solutions to some of the most challenging problems in industry and need to be continually exploring the art of the possible, dreaming, prototyping, and testing.
- Be Committed – We are a start-up with ambitious goals for growth and solving hard problems. It will not be an easy journey, but it will be one worth doing. It will require commitment from everyone – late nights, weekends, the usual ‘start-up’ life. However, as a company, SAIF are committed to creating an environment where everyone can grow, develop, and take on this challenge in a supportive and constructive environment.
Join our team and be part of the revolution enabling a future where AI and autonomous systems are not only intelligent but assured, safe, and trustworthy.
Job Type: Full-time
Pay: £50,000.00-£60,000.00 per year
Benefits:
- Casual dress
- Company events
- Company pension
- Cycle to work scheme
- Employee discount
- Employee stock purchase plan
- Free parking
- On-site gym
- On-site parking
- Sick pay
- Unlimited paid holidays
Schedule:
- Monday to Friday
Education:
- Bachelor's (preferred)
Work Location: Hybrid remote in Didcot OX11 0GD
Application deadline: 31/01/2025
Reference ID: SAIFPRINENG1