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- Tasks: Create innovative tools for model training in healthcare applications.
- Company: Join a fast-growing AI start-up revolutionising healthcare.
- Benefits: Flexible hybrid work, collaborative culture, and growth opportunities.
- Why this job: Make a real impact on patient outcomes with cutting-edge AI solutions.
- Qualifications: Experience in machine learning, strong Python skills, and cloud knowledge.
- Other info: Work in vibrant Barcelona or Madrid offices with a dynamic team.
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. 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:
- Creating tools for model training and evaluation that power transformative healthcare applications.
- Collaborating closely with Data Scientists and Engineers to produce advanced AI solutions.
- Optimizing MLOps processes to drive efficiency and impact.
Qualifications:
- Experience as a Machine Learning Engineer or Data Scientist, preferably within the healthcare, biotech, or pharmaceutical space.
- Strong Python coding skills and expertise with cloud infrastructure (AWS preferred).
- Familiarity with tools like MLflow and Airflow.
- Additional knowledge of Gen AI APIs or AI SaaS solutions is a plus.
Benefits:
- Collaborative team culture.
- Flexible hybrid working options.
- Ample opportunities for professional growth.
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.
Machine Learning Engineer in England employer: LinuxRecruit
Contact Detail:
LinuxRecruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in England
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning and healthcare sectors 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, especially those related to healthcare. Use platforms like GitHub to share your code and document your thought process. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python coding skills and MLOps processes. Practice common machine learning problems and be ready to discuss your past projects in detail. We recommend using mock interviews to build confidence and get feedback.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, hit that apply button and let’s revolutionise healthcare together!
We think you need these skills to ace Machine Learning Engineer in England
Some tips for your application 🫡
Show Your Passion for Healthcare: When writing your application, let us know why you're excited about using machine learning in healthcare. Share any relevant experiences or projects that highlight your passion for improving patient outcomes.
Highlight Your Technical Skills: Make sure to showcase your Python coding skills and any experience with cloud infrastructure like AWS. We want to see how your technical expertise aligns with the role, so don’t hold back on the details!
Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific responsibilities and qualifications mentioned in the job description. This shows us you’ve done your homework and are genuinely interested.
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 and helps us keep track of all the amazing talent out there!
How to prepare for a job interview at LinuxRecruit
✨Know Your Machine Learning Stuff
Brush up on your machine learning concepts, especially those relevant to healthcare. Be ready to discuss your previous projects and how they relate to the role. This shows you’re not just a coder but someone who understands the impact of your work.
✨Show Off Your Python Skills
Since strong Python coding skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that involve data manipulation or model training.
✨Familiarise Yourself with MLOps
Understanding MLOps processes is key for this role. Be prepared to discuss how you’ve optimised workflows in past projects. Mention any experience with tools like MLflow or Airflow, as this will set you apart from other candidates.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects or the company’s vision for AI in healthcare. This shows your genuine interest and helps you gauge if it’s the right fit for you.
