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For Companies At a Glance
- Tasks: Design and develop AI-driven software for innovative medical devices.
- Company: Join a leading healthcare tech company focused on impactful projects.
- Benefits: Competitive daily rate, fully remote work, and potential contract extension.
- Why this job: Make a difference in healthcare with cutting-edge AI technology.
- Qualifications: Strong Python and Machine Learning experience required.
- Other info: Collaborative environment with opportunities for mentorship and growth.
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 London 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 London
✨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 dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI and Machine Learning projects. This is your chance to demonstrate your expertise and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on regulatory standards like IEC 62304. Be ready to discuss how your experience aligns with the requirements of developing software for medical devices.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting roles, and applying directly can 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 London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Software Engineer (AI) role. Highlight your experience with Python, Machine Learning, and any relevant projects in healthcare or regulated environments. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of your work with AI and ML, especially in medical device contexts. If you've developed scalable ML pipelines or worked with AWS, let us know! This helps us understand your hands-on experience.
Be Clear on Compliance: Since this role involves regulatory considerations, make sure to mention your familiarity with IEC 62304 and any experience you have with medical device software development. We appreciate clarity on how you can navigate these requirements.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
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 some technical questions during the interview, especially around AI-driven software and AWS environments. Brush up on your knowledge of Docker, RESTful APIs, and cloud-native patterns. Practising coding problems related to these areas can also give you an edge!