Machine Learning Engineer

LinuxRecruit; City Of London; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading AI startup in the healthcare sector is seeking a Machine Learning Engineer to join their innovative team. This role focuses on building robust machine learning infrastructure to enhance clinical outcomes. Candidates should have strong Python skills and familiarity with cloud environments like AWS. The company offers a forward-thinking culture and flexible remote/hybrid work options.

Benefits

Forward-thinking, supportive team environment

Flexible remote/hybrid working

Opportunity to work on impactful healthcare projects

Qualifications

• Hands-on experience with Python required.
• Proficiency in AWS cloud environments is necessary.
• Prior industry experience in life sciences or healthcare is desirable.

Responsibilities

• Build and maintain robust machine learning infrastructure.
• Collaborate with Data Scientists to deploy scalable ML solutions.
• Develop systems aligned with healthcare and pharmaceutical needs.

Skills

Hands-on Python experience

Proficiency with cloud environments, especially AWS

Experience with ML tooling such as MLflow

Knowledge of containerisation

Familiarity with generative AI APIs

Job description

Overview

Forget the sci-fi cliches, 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\u2019ll 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.

Qualifications

• 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 & Benefits

• 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.