Software (SaMD) & Artificial intelligence (AI) Product Assessor - Active Devices

SGS
Ellesmere Port
1 year ago
Applications closed

Related Jobs

View all jobs

Python Data Engineer

Machine Learning Engineer (Forward Deployed)

Mid-Level Data Engineer

Junior IT Support Engineer & Data Analyst

Data Engineer

Data Analyst

Job Description

Are you ready to take your career to the next level? If you have a strong background as a Product Assessor within an EU notified body conducting MDS technical documentation review, then we have an exhilarating opportunity for you!

Join our dynamic team at SGS and become a Software & AI Product Assessor. This role will allow you to make a significant impact in the field of certification.

Your responsibilities will include:

Conducting thorough technical documentation reviews of SaMD and devices using AI/Machine Learning (ML) and ensuring compliance with EU regulations and standards. Collaborating with cross-functional teams to increase efficiency and quality Develop training and present the training to others in SGS or externally as deemed necessary. Project manage reviews as appropriate, to maximize efficiencies, enhance client satisfaction and ensure compliance with standard Support/assist on queries raised from the review Work at all times to adhere to KPI’s set as an individual and within a team Ensure personal competency is maintained to be able to review technical files and technical documentation Ensure that the highest level of service is provided throughout the SGS network offering medical devices certification and stakeholders through efficient service delivery.

Qualifications

Bachelor’s degree in a related discipline (, engineering, or other relevant sciences) Four years of professional experience in the field of healthcare products or related activities, such as design, manufacturing, auditing, or research, of which two years shall be in developing SaMD demonstrating knowledge of one or more programming languages (preferable in MDSW or other critical software requiring compliance with regulations) and AI/ML models in specific industry/academic research. Thorough knowledge and understanding of the Software Life Cycle processes: requirement analysis, design and coding configuration management including version and change control testing including design and coding, configuration management including version and change control, testing including unit, integration, regression and system testing, validation and release, and problem resolution techniques including debugging techniques, root cause analysis and code reviews. Knowledge and understanding of the related standards: IEC 62304, IEC 82304, IEC 81001-5-1, IEC 62366, etc… Thorough knowledge and understanding of AI regulations, released standards/guidance and AI/ML tools/libraries; Good written English skills (as reports will be reviewed/queried in English); Knowledge of the following Technical File codes desirable (COMMISSION IMPLEMENTING REGULATION (EU) 2017/2185 of 23 November 2017) MDS1009 and MDS0315.

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.