Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior C++ Computer Vision Engineer, Camera & Sensor Software

Evi Technologies Limited
Cambridge
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Cloud Data Engineer

Senior Data Engineer

Senior Consultant - GCP Data Engineer

Senior Machine Learning Engineer

Senior Commercial Data Scientist – Optimisation

Senior Consultant - Data Engineering, BCM, FS

Do you want to work on truly challenging problems that will change the world and bring people together? Join our team of smart, friendly and inventive builders to imagine, create and deliver the next high-profile Amazon camera & sensor product. Our cross-functional team brings together engineers and scientists with deep expertise in the different worlds of image quality, algorithm design, embedded software, robotics and depth sensing, optics/photogrammetry, graphics and simulation, and machine learning. Together we have built a vast range of different ground-breaking products - from the Echo Look, Echo Show, Ring security cameras and the Astro home robot.


Key job responsibilities
As a Senior Software Development Engineer you will:

- Design algorithms and write software for our consumer products.
- Work closely with camera & sensor experts, product management, computer vision and machine learning experts.
- Guide the team to solve complex technical challenges and invent new ways to bring joy and value to our customers.
- Guide and develop more junior engineers as well as managing your own deliverables.

BASIC QUALIFICATIONS

- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
- Experience in professional, non-internship software development
- Experience as a mentor, tech lead or leading an engineering team
- Understanding of building systems and toolchains
- Identifying needs for providing and driving software reviews and optimizations
- Experience dealing with middleware/SW stacks and embedded systems
- Experience with API design
- Experience with continuous integration practices (unit-test, linting, code coverage, etc.)

PREFERRED QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.