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- Tasks: Design and develop AI-driven software for regulated medical devices in a remote setting.
- Company: Join a leading healthcare technology firm focused on innovation and quality.
- Benefits: Competitive daily rate, fully remote work, and potential for contract extension.
- Why this job: Make a real impact in healthcare by working on cutting-edge AI projects.
- Qualifications: Strong Python and Machine Learning experience, with knowledge of regulatory standards.
- Other info: Collaborative environment with opportunities to mentor and guide fellow engineers.
The predicted salary is between 96000 - 104000 £ per year.
We are partnering with a healthcare technology client developing software for regulated medical devices. They are seeking a Senior Software Engineer (AI) with a strong background in Machine Learning to support a critical medical device project. This role will play a key part in designing, developing, and guiding AI-driven software in a highly regulated environment, with direct input into regulatory and quality considerations.
Contract details
- Contract Length: Initial 3 months (strong likelihood of extension)
- Start Date: Immediate
- Location: Fully remote (UK-based, ideally within commuting distance of London)
- Rate: £400 per day (Outside IR35 if applicable)
Key responsibilities
- Design, develop, and maintain AI / Machine Learning software components used within a medical device context
- Implement robust, scalable Python-based ML pipelines, including model training, evaluation, and deployment
- Develop and integrate RESTful APIs to expose ML functionality
- Package and deploy applications using Docker and cloud-native patterns
- Work within AWS environments (e.g. EC2, S3, Lambda, SageMaker or equivalent)
- Ensure software is developed in line with IEC 62304 and medical device software lifecycle requirements
- Provide technical guidance on regulatory compliance, including documentation, traceability, and risk management
- Collaborate closely with product, quality, regulatory, and clinical stakeholders
- Support preparation of software artifacts for medical device submissions (e.g. technical files)
- Review code and mentor other engineers where required
Required skills and experience
- Strong Python development experience in production environments
- Proven experience developing Machine Learning models (e.g. classification, regression, image/signal processing, or NLP)
- Solid understanding of ML model lifecycle: data preparation, training, validation, deployment, and monitoring
- Hands-on experience with APIs, Docker, and AWS
- Working knowledge of IEC 62304 and regulated software development
- 6–12 months experience working in healthcare and/or medical device software
- Exposure to software used in medical device regulatory submissions
- 3–5+ years professional software engineering experience
- Ability to advise and guide teams on regulatory and quality considerations within software development
Nice to have
- Experience with AI/ML in regulated environments (SaMD, diagnostics, imaging, wearables, etc.)
- Familiarity with ISO 13485, ISO 14971, or FDA guidance for medical software
- Experience working alongside Quality Management Systems (QMS)
- Background in cloud-based ML services (e.g. AWS SageMaker)
- Strong documentation and technical writing skills
Senior Software Engineer (AI) in Slough employer: Aspire Life Sciences Search
Contact Detail:
Aspire Life Sciences Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer (AI) in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the healthcare tech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and Machine Learning projects, especially those relevant to medical devices. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on regulatory standards like IEC 62304. Be ready to discuss how your experience aligns with compliance and quality considerations in software development for medical devices.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior Software Engineer (AI) in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with Python, Machine Learning, and any relevant healthcare projects. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in healthcare and how your background makes you the perfect fit for this role. We love seeing genuine enthusiasm!
Showcase Relevant Projects: If you've worked on any projects related to medical devices or AI, make sure to mention them. We’re keen to see your hands-on experience, especially with regulatory compliance and ML pipelines.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, we love seeing candidates who follow instructions!
How to prepare for a job interview at Aspire Life Sciences Search
✨Know Your Stuff
Make sure you brush up on your Python and Machine Learning skills. Be ready to discuss your experience with developing ML models and how you've implemented them in production environments. They’ll want to hear about specific projects, so have some examples ready!
✨Understand the Regulations
Since this role involves working with regulated medical devices, it’s crucial to familiarise yourself with IEC 62304 and other relevant standards. Be prepared to talk about how you’ve navigated regulatory compliance in past projects and how you can ensure quality in software development.
✨Showcase Your Collaboration Skills
This position requires close collaboration with various stakeholders. Think of examples where you’ve worked with product, quality, or clinical teams. Highlight your ability to communicate technical concepts clearly and how you’ve contributed to team success.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during the interview. Brush up on your knowledge of APIs, Docker, and AWS services. You might be asked to solve a problem on the spot, so practice coding challenges related to ML pipelines and deployment strategies.