At a Glance
- Tasks: Architect and scale machine learning systems for impactful healthcare solutions.
- Company: Deep Medical, a pioneering company in scalable healthcare AI based in London.
- Benefits: Competitive salary, equity options, and direct access to founders.
- Other info: Hybrid role with collaboration across product, engineering, and CS teams.
- Why this job: Join a mission-driven team tackling real-world healthcare challenges with cutting-edge technology.
- Qualifications: Proven software development experience and strong machine learning skills required.
The predicted salary is between 60000 - 80000 £ per year.
Deep Medical, based in London, is looking for a Senior ML Engineer to architect, build, and scale machine learning systems. This hybrid role includes collaborating with product, engineering, and CS teams to implement core product capabilities.
The ideal candidate will have proven experience in software development, strong machine learning and backend engineering skills.
The position offers competitive salary along with equity options, and direct access to the founders and clinical challenges in healthcare.
Senior ML Engineer for Scalable Healthcare AI (Hybrid) employer: Deep Medical
Deep Medical is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to tackle real-world healthcare challenges. With competitive salaries, equity options, and direct access to founders, team members have unique opportunities for professional growth and development in the rapidly evolving field of AI. Located in London, the hybrid work model allows for flexibility while being part of a mission-driven team dedicated to making a meaningful impact in healthcare.
StudySmarter Expert Advice🤫
We think this is how you could land Senior ML Engineer for Scalable Healthcare AI (Hybrid)
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Deep Medical or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Deep Medical.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Deep Medical.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Deep Medical that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior ML Engineer for Scalable Healthcare AI (Hybrid)
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Deep Medical.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Deep Medical and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Deep Medical
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Deep Medical uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
