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- Tasks: Develop and implement machine learning models to transform healthcare applications.
- Company: Join one of Europe’s fastest-growing AI start-ups focused on revolutionizing healthcare.
- Benefits: Enjoy flexible hybrid working options and a collaborative team culture.
- Why this job: Be at the forefront of AI innovation, making a real impact in healthcare.
- Qualifications: Experience in machine learning or data science, strong Python skills, and cloud expertise required.
- Other info: Knowledge of Gen AI APIs is a plus; opportunities for professional growth await!
The predicted salary is between 36000 - 60000 £ per year.
Revolutionising Healthcare Through Machine Learning.
The field of machine learning has advanced far beyond the futuristic ideas portrayed in Sci-Fi films like Robocop and Transformers. Today, machine learning represents a groundbreaking tool in healthcare and pharmaceuticals, offering solutions to transform patient outcomes and advance the industry.
This is your opportunity to join a brand-new Machine Learning team within one of Europe’s fastest-growing AI start-ups. Their mission? To develop cutting-edge AI solutions that tackle the unique challenges in healthcare and pharma, delivering scalable innovations that improve drug development, diagnostics, and treatment delivery.
Based in vibrant offices in Barcelona or Madrid, you’ll work at the forefront of machine learning, creating tools for model training and evaluation that power transformative healthcare applications. Collaborating closely with Data Scientists and Engineers, you’ll produce advanced AI solutions while optimizing MLOps processes to drive efficiency and impact.
Responsibilities:
- Develop and implement machine learning models for healthcare applications.
- Collaborate with Data Scientists and Engineers to create advanced AI solutions.
- Optimize MLOps processes to enhance efficiency and impact.
Minimum Requirements:
- Experience as a Machine Learning Engineer or Data Scientist, preferably in healthcare, biotech, or pharmaceuticals.
- Strong Python coding skills.
- Expertise with cloud infrastructure (AWS preferred).
- Familiarity with tools like MLflow and Airflow.
- Passion for harnessing machine learning to revolutionise healthcare.
Additional Information:
Knowledge of Gen AI APIs or AI SaaS solutions is a plus. Enjoy a collaborative team culture, flexible hybrid working options, and ample opportunities for professional growth; all within a sector that truly makes a difference.
If you’re ready to help shape the future of healthcare through AI and machine learning, apply now and become part of something life-changing.#J-18808-Ljbffr
Machine Learning Engineer (Healthcare) employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (Healthcare)
✨Tip Number 1
Familiarize yourself with the latest advancements in machine learning specifically related to healthcare. This will not only help you understand the challenges but also allow you to discuss innovative solutions during your interview.
✨Tip Number 2
Network with professionals in the healthcare AI space. Attend relevant meetups or webinars to connect with Data Scientists and Engineers, as they can provide insights into the company culture and expectations.
✨Tip Number 3
Showcase your passion for healthcare by discussing any personal projects or contributions you've made in this field. This could be anything from open-source contributions to research papers that highlight your commitment to improving patient outcomes.
✨Tip Number 4
Prepare to discuss your experience with MLOps processes and cloud infrastructure, particularly AWS. Being able to articulate how you've optimized these processes in past roles will demonstrate your readiness to contribute effectively to the team.
We think you need these skills to ace Machine Learning Engineer (Healthcare)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Machine Learning Engineer or Data Scientist, especially in healthcare, biotech, or pharmaceuticals. Emphasize your Python coding skills and any experience with cloud infrastructure like AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for machine learning and its application in healthcare. Mention specific projects or experiences that demonstrate your ability to develop and implement machine learning models.
Showcase Collaboration Skills: In your application, emphasize your ability to collaborate with Data Scientists and Engineers. Provide examples of past teamwork that led to successful AI solutions or optimized processes.
Highlight Continuous Learning: Mention any ongoing education or certifications related to machine learning, AI, or healthcare. This shows your commitment to professional growth and staying updated with industry trends.
How to prepare for a job interview at LinuxRecruit
✨Show Your Passion for Healthcare
Make sure to express your enthusiasm for using machine learning to improve healthcare outcomes. Share specific examples of how you've applied your skills in this field or how you envision making a difference.
✨Demonstrate Technical Proficiency
Be prepared to discuss your experience with Python and any relevant machine learning frameworks. Highlight projects where you've implemented models, especially in healthcare, and be ready to dive into technical details.
✨Familiarize Yourself with MLOps
Since optimizing MLOps processes is a key responsibility, brush up on best practices and tools like MLflow and Airflow. Be ready to discuss how you've used these tools in past projects to enhance efficiency.
✨Collaborative Mindset
Emphasize your ability to work in a team environment. Share experiences where you've collaborated with Data Scientists and Engineers, and how that teamwork led to successful project outcomes.
