At a Glance
- Tasks: Develop and implement AI solutions to enhance laboratory workflows and medical device testing.
- Company: Join Smithers MDT, a global leader in medical device testing and compliance.
- Benefits: Gain hands-on experience with real AI systems in a supportive environment.
- Why this job: Make a real impact by applying AI in regulated lab settings that save lives.
- Qualifications: Familiarity with Python, AI frameworks, and a degree in a related field.
- Other info: Collaborate with scientists and engineers in a dynamic, fast-evolving AI landscape.
The predicted salary is between 36000 - 60000 £ per year.
Documentation automation
About Smithers Medical Device Testing (MDT)
Smithers Medical Device Testing (MDT) is a global leader in testing, inspection, and compliance, supporting medical device, pharmaceutical, and combination product manufacturers worldwide. Our work underpins products that improve and save lives. That means the data behind every decision must be accurate, traceable, validated, and regulator-ready. As Smithers continues to invest in intelligent systems and advanced analytics, we are applying artificial intelligence not as a buzzword — but as a practical, deployable capability that enhances laboratory science, analytical workflows, and testing protocols at scale. At MDT, AI is built where it actually matters.
The Opportunity
We are seeking an AI Specialist to support the development and implementation of intelligent AI agents and machine learning models that enhance analytical workflows, laboratory systems, and medical device testing environments. This is a hands-on, applied AI role working directly with scientists, engineers, IT, and quality teams. You’ll help bring AI into regulated laboratory environments, ensuring models are robust, explainable, validated, and ready for real-world use. This role is ideal for an early-career or developing AI professional who wants to:
- Work on real AI systems, not just proofs of concept
- Gain exposure to regulated AI, validation, and compliance
- Apply machine learning in chemistry, medical devices, and combination products
- Build AI solutions that are actually deployed and trusted
Applied AI & Intelligent Agent Development
Support the design and development of AI and machine learning models for:
- Data interpretation
- Anomaly detection
- Predictive analytics
Assist in developing intelligent agents to support:
- Experimental planning
- Documentation automation
- Analytical workflow optimisation
Laboratory Systems & Integration
Support the integration of AI solutions with Laboratory Information Management Systems (LIMS) and related laboratory software. Ensure data integrity, formatting, traceability, and system interoperability. Collaborate closely with IT to support secure and scalable AI implementation.
Validation, Quality & Compliance
Participate in model testing and validation activities to verify performance against defined criteria. Support adherence to regulatory, quality, and documentation standards. Assist with quality audits and accreditation requirements.
Cross-Functional Collaboration
Work with chemists, engineers, scientists, quality, and IT teams. Translate AI capability into practical laboratory and business outcomes.
Documentation & Knowledge Sharing
Create and maintain clear, structured documentation covering:
- Model configurations
- Experiments
- Implementation approaches
Support internal review, adoption, and continuous improvement.
What We’re Looking For
- Familiarity with Python and modern AI frameworks such as PyTorch or TensorFlow
- Understanding of machine learning principles, data analysis, and model evaluation
- Strong written and verbal communication skills
- Ability to analyse data, interpret trends, and explain findings clearly
- Comfortable working in structured or regulated environments
Education & Certifications
Currently enrolled in (or recently completed) a Bachelor’s or Master’s degree in:
- Computer Science
- Artificial Intelligence
- Data Science
- Or a related technical discipline
Microsoft Certified: Azure AI Fundamentals (AI-900)
Microsoft Certified: Azure Data Fundamentals (DP-900)
CompTIA Security+
Desirable
Microsoft Certified: Azure AI Engineer Associate (AI-102)
Exposure to:
- Laboratory environments
- LIMS platforms
- Medical devices, pharmaceuticals, or regulated industries
- Interest in agent-based modelling and applied AI systems
Skills That Will Set You Apart
- Strong analytical, mathematical, and problem-solving ability
- Confidence interpreting statistical outputs, ratios, trends, and graphs
- High attention to detail and documentation quality
- Ability to collaborate across technical and non-technical teams
- Curiosity, adaptability, and a desire to learn in a fast-evolving AI landscape
Flexibility & Travel
Willingness to travel nationally and internationally as required. Flexible approach to working hours to meet business and project needs.
Why Join Smithers MDT
At Smithers Medical Device Testing, you’ll apply artificial intelligence in real laboratory and medical device environments, not experimental side projects or disconnected proofs of concept. This role offers rare exposure to regulated AI, where validation, compliance, and data integrity genuinely matter, giving you experience few AI roles can match. You’ll work alongside scientists, engineers, and quality experts, translating advanced AI capability into systems that are trusted, deployed, and used to support life-impacting decisions. As part of a global organisation investing seriously in intelligent systems and future capability, you’ll help shape how AI is responsibly embedded into science, testing, and real-world decision making — building AI where it truly matters.
AI Specialist in Shrewsbury employer: Smithers
Contact Detail:
Smithers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Specialist in Shrewsbury
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and medical device sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, machine learning, or AI frameworks like PyTorch or TensorFlow. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of regulatory environments and compliance standards. Since this role is all about applying AI in regulated settings, being able to discuss these topics confidently will set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and engaged with our company. Let’s get you on board!
We think you need these skills to ace AI Specialist in Shrewsbury
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Specialist role. Highlight your experience with Python, machine learning, and any relevant projects that showcase your skills in a regulated environment.
Showcase Your Passion: Let us see your enthusiasm for AI and its applications in medical devices. Share any personal projects or experiences that demonstrate your curiosity and adaptability in this fast-evolving field.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your skills and experiences, making it easy for us to see how you fit into our team and the role.
Apply Through Our Website: We encourage you to submit your application directly through our website. This way, you’ll ensure it reaches the right people and stands out in our recruitment process!
How to prepare for a job interview at Smithers
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Python and frameworks like PyTorch or TensorFlow. Be ready to discuss how you've applied machine learning principles in real-world scenarios, especially in regulated environments.
✨Showcase Your Collaboration Skills
Since this role involves working closely with scientists, engineers, and IT teams, be prepared to share examples of how you've successfully collaborated across different disciplines. Highlight any experiences where you translated complex AI concepts into practical outcomes.
✨Prepare for Technical Questions
Expect questions that dive deep into data analysis, model evaluation, and anomaly detection. Brush up on your analytical skills and be ready to explain your thought process when interpreting statistical outputs and trends.
✨Documentation is Key
Smithers values clear and structured documentation, so be ready to discuss how you approach documenting your work. Bring examples of past documentation you've created, whether it's model configurations or experimental approaches, to demonstrate your attention to detail.