Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deploy AI solutions that transform healthcare delivery.
- Company: Rapidly scaling HealthTech startup with a collaborative and ambitious culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Join us to shape the future of AI in healthcare and make a real impact.
- Qualifications: 6+ years in software development and 4+ years in ML/AI systems.
- Other info: Work remotely with regular team meet-ups in Manchester.
The predicted salary is between 72000 - 108000 £ per year.
This range is provided by Stealth AI Startup. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $120,000.00/yr - $180,000.00/yr.
We are a rapidly scaling Series A HealthTech startup, fresh off a $20m raise and already at 7-figure ARR. Our AI-first platform is transforming how care is delivered, combining advanced machine learning with intuitive product design to make healthcare more personalised, efficient, and scalable.
We are looking for a Senior AI Engineer to help define and deliver our AI strategy from the ground up. You will work across the stack — from model training and evaluation to deployment and monitoring — embedding intelligence into both our products and our own operations.
What you will be doing:
- Build and deploy AI-powered solutions in classification, personalisation, generation, and search.
- Collaborate with product and engineering teams to deliver impactful, scalable AI features.
- Design and evolve ML infrastructure: model tracking, CI/CD for ML, serving patterns, experimentation.
- Prototype and ship AI automations to boost team productivity.
- Keep us ahead of the curve with the latest model capabilities.
Requirements:
- 6+ years software development experience, with 4+ years building & deploying ML/AI systems.
- Strong Python skills and familiarity with modern backend stacks.
- Solid ML fundamentals and production deployment experience.
- Cloud (GCP preferred), containers, and MLOps tooling expertise.
- Bonus: experience with RAG, foundation models, or regulated industries.
Shape the AI roadmap at a pivotal stage of growth. Collaborative, ambitious, and product-focused team. Flexible working with regular in-person sessions in Manchester.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Engineering and Analyst
Industries: Technology, Information and Internet; Health and Human Services
Senior Machine Learning Engineer in London employer: Stealth AI Startup
Contact Detail:
Stealth AI Startup Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the HealthTech and AI space on LinkedIn. Join relevant groups, attend meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it’s GitHub repos or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past experiences in detail. Practice common ML interview questions and think about how you can relate your answers back to the role at the startup.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you a better chance of getting noticed by the hiring team.
We think you need these skills to ace Senior Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Machine Learning Engineer role. Highlight your relevant experience in AI and ML, and don’t forget to showcase your Python skills and any cloud expertise you have. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about HealthTech and how you can contribute to our AI strategy. Keep it concise but impactful, and let your personality come through. We love a bit of flair!
Showcase Your Projects: If you've worked on any cool AI projects, make sure to mention them! Whether it's a personal project or something from your previous job, we want to see your hands-on experience. Include links or descriptions that demonstrate your skills in model training and deployment.
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 shows us you’re keen to join our team at this exciting stage of growth!
How to prepare for a job interview at Stealth AI Startup
✨Know Your Stuff
Make sure you brush up on your machine learning fundamentals and be ready to discuss your past projects. Be prepared to explain your approach to building and deploying AI solutions, as well as any challenges you faced and how you overcame them.
✨Showcase Collaboration Skills
Since this role involves working closely with product and engineering teams, highlight your experience in collaborative projects. Share specific examples of how you've worked with cross-functional teams to deliver impactful AI features.
✨Demonstrate Your Technical Expertise
Be ready to dive deep into your technical skills, especially in Python and cloud technologies like GCP. You might be asked to solve a coding problem or discuss your experience with MLOps tooling, so practice articulating your thought process clearly.
✨Stay Ahead of the Curve
Research the latest trends in AI and machine learning, particularly in the HealthTech space. Being able to discuss recent advancements or tools that could benefit the company will show your passion and commitment to staying current in the field.
