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- Tasks: Build and maintain machine learning infrastructure to enhance healthcare solutions.
- Company: Join a fast-scaling AI start-up revolutionising healthcare in Europe.
- Benefits: Flexible remote/hybrid work, supportive team, and impactful projects.
- Why this job: Shape the future of healthcare with cutting-edge technology and innovation.
- Qualifications: Hands-on Python experience and familiarity with cloud environments like AWS.
- Other info: Work in vibrant Madrid or Barcelona with excellent career growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Forget the sci-fi clichés, artificial intelligence is already redefining the way we understand and deliver healthcare. From accelerating drug discovery to enhancing diagnostics, machine learning is driving real, measurable impact in the medical world.
Looking for a Machine Learning Engineer to join a brand new division within one of Europe's fastest scaling AI start-ups. This is your chance to be part of a pioneering team that's building intelligent, scalable solutions specifically designed for the complexities of healthcare and the pharmaceutical industry.
Operating from modern hubs in either Madrid or Barcelona, you'll play a key role in creating robust machine learning infrastructure, from model development and evaluation to automating workflows for deployment and monitoring. Working shoulder to shoulder with Data Scientists, Software Engineers, and domain experts, you'll build systems that directly influence clinical outcomes and R&D processes.
What's on offer? A forward-thinking, supportive team environment, flexible remote/hybrid working, and the chance to contribute to high impact projects at the intersection of technology and human wellbeing.
Ready to help shape the next generation of healthcare innovation? Apply now.
Responsibilities- Build and maintain robust machine learning infrastructure, including model development and evaluation, and automate workflows for deployment and monitoring.
- Collaborate with Data Scientists, Software Engineers, and domain experts to deploy scalable ML solutions that influence clinical outcomes and R&D processes.
- Develop systems that are robust, scalable, and aligned with healthcare and pharmaceutical industry needs.
- Hands-on Python experience.
- Proficiency with cloud environments, especially AWS.
- Experience with ML tooling such as MLflow, Airflow, and containerisation.
- Prior experience in life sciences, pharma, or healthcare AI is highly desirable.
- Familiarity with generative AI APIs or AI-powered platforms is a bonus.
- Location: Madrid or Barcelona hubs with flexible remote/hybrid options.
- Forward-thinking, supportive team environment.
- Flexible remote/hybrid working.
- Opportunity to contribute to high-impact projects at the intersection of technology and human wellbeing.
Machine Learning Engineer in London employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. We love seeing real-world applications of your work, so make sure to highlight any impactful results you've achieved.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your experience with Python, AWS, and ML tools. We want to see your passion for healthcare innovation shine through!
✨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. We’re excited to find someone who’s ready to make a difference in healthcare with us!
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on Python experience and any relevant work in life sciences or healthcare AI. 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! Tell us why you’re excited about joining our team and how you can contribute to building scalable ML solutions. Keep it engaging and personal – we love to see your passion for healthcare innovation.
Showcase Your Projects: If you've worked on any machine learning projects, especially those related to healthcare, make sure to mention them. We’re keen to see your practical experience, so include links or descriptions of your work that demonstrate your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our pioneering team!
How to prepare for a job interview at LinuxRecruit
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with the cloud environments, especially AWS. Be ready to discuss your experience with ML tooling like MLflow and Airflow, as well as any containerisation techniques you've used. This will show that you're not just a theoretical expert but someone who can hit the ground running.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Data Scientists, Software Engineers, and domain experts, it's crucial to demonstrate your ability to collaborate effectively. Prepare examples of past projects where teamwork was key to success, and highlight how you contributed to achieving common goals.
✨Understand the Healthcare Landscape
Familiarise yourself with the current trends in healthcare AI and the pharmaceutical industry. Being able to discuss how machine learning is impacting these fields will not only impress your interviewers but also show your genuine interest in the role and its significance.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions about the company's vision for AI in healthcare. Ask about the challenges they face and how they see the role of a Machine Learning Engineer evolving. This shows that you're thinking critically about your potential impact on their projects.
