Applied AI Engineer

Sanome; Greater London; On-site; USD 35,000 - 46,000; Full time

Job summary

A leading company in AI for healthcare is looking for an entry-level engineer passionate about translating complex data into actionable insights. You'll work on designing machine learning pipelines and collaborating with diverse teams to innovate healthcare solutions.

Qualifications

• Proven experience in deploying machine learning and deep learning models in health.
• Familiar with deep learning concepts and transformer-based architectures.
• Experience with agile methods and collaboration tools.

Responsibilities

• Design and deploy machine learning pipelines focusing on multimodal clinical data.
• Collaborate with cross-functional teams to understand requirements.
• Stay updated with latest advancements in machine learning.

Skills

Programming

Algorithm development

Machine learning

Deep learning

Communication

Education

Advanced degree in a quantitative or engineering discipline

Tools

Python

SQL

Unix-based systems

Git

Hugging Face

Hydra

MLFlow

DVC

Job description

Sanome Greater London, England, United Kingdom

Get AI-powered advice on this job and more exclusive features.

Your mission is to help build the next frontier in AI for healthcare

To meet this challenge, we must use the massively growing amount of healthcare data to support clinical decision-making. We are solving this by translating various data streams into clinically- actionable insights that support overstretched clinicians identify patient health changes earlier. Over time, we are personalising this to ultimately build your human digital twin.

This is a “right time, right place” kind of moment, with increasing momentum, multiple hospital partnerships, vast data access, a first product in clinic with early positive results, and imminent regulatory approval (Class 2 EU:MDR). Now, we are looking for you to take us to the next level.

We are building a company that wants to change the way healthcare innovation is brought to market and are looking for people to help us do just that. Are you up for the challenge?

About the Role

We work at the bleeding edge of AI for healthcare, translating multimodal, complex and challenging data streams into actionable clinical insights that have a real-world impact.

• Design and deploy machine learning pipelines focused on multimodal clinical data spanning electronic health records, wearables, clinical images, genomics, etc.
• Collaborate closely with a cross-functional team to understand requirements, curate datasets, and implement models into production.
• Stay updated with the latest advancements in foundational machine learning to drive innovation within the company.

If you are passionate about the confluence of AI, healthcare, and pioneering technological solutions, we'd love to meet you!

Must Have:

• Advanced degree in a quantitative or engineering discipline such as computer science, engineering, mathematics, computational biology, bioinformatics, etc., OR equivalent professional work experience.
• Proven experience in deploying machine learning and deep learning models, preferably in the health domain.
• Strong programming and algorithmic skills, specifically in Python, C++, or other relevant languages.
• Familiarity with fundamental concepts of deep learning and transformer-based architectures, including scaling and fine-tuning models over large-scale data sources.
• Excellent communication skills and ability to work closely with interdisciplinary teams.

Nice-to-Have:

• Understanding of AI ethics, responsible AI practices, and regulatory considerations
• Experience with agile ways of working, devops, version control, unit testing, CI/CD pipelines, model monitoring, and reproducibility. We use Python, SQL, Unix-based systems, git, and github for collaboration and review, including Hugging Face, Hydra, MLFlow, DVC, etc., for experiment tracking and monitoring.
• Experience working with the OMOP Common Data Model and working with Standard Medical Vocabularies, such as SNOMED, ICD10. Knowledge of other clinical data standards like HL7, FHIR, and CDA would be advantageous. An understanding of healthcare workflows and medical terminologies can be a significant asset for this role.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Hospitals and Health Care

Referrals increase your chances of interviewing at Sanome by 2x

London, England, United Kingdom 8 hours ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 5 months ago

Research Engineer, ML, AI & Computer Vision

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 months ago

London, England, United Kingdom $35,000 - $46,000 1 month ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.