Job details

Machine Learning Engineer

Company Overview

Circadia Health is a medical technology company that has developed the world's first FDA cleared completely contactless remote patient monitoring system. Powered by cutting-edge technology and AI, the system allows for the early detection of medical events such as Congestive Heart Failure, COPD Exacerbations, Pneumonia, Sepsis, UTIs, and Falls. We're monitoring over 20,000 lives daily and growing rapidly. Our mission is to enhance patient outcomes and improve healthcare processes by providing cutting-edge solutions to healthcare providers and patients alike.

Position Overview

As a Machine Learning Engineer, you will design, build, and maintain end-to-end machine learning pipelines, transforming experimental models into scalable, production-ready systems while closely collaborating with the Product Design and Engineering (PDE) team to create impactful ML-driven products in the healthcare setting. In addition to optimizing infrastructure, automating workflows, and ensuring seamless integration from model development to deployment, you will play a key role in building and iterating on the actual products that leverage machine learning to deliver value to patients and healthcare professionals. With a strong focus on scalability, performance and you will help bridge the gap between cutting-edge algorithms and real-world applications in a fast-paced, startup environment - driving our mission of saving lives.

Key Responsibilities:

Ownership of Machine Learning Infrastructure:
Develop, deploy, and maintain scalable pipelines for both Circadia’s proprietary ML models and off-the-shelf solutions.
Optimize model training and inference workflows to handle large-scale, real-time data efficiently.
Design robust model monitoring systems to track performance, detect drift, and ensure reliability.
Implement infrastructure to support the experimentation and productionization of ML models cost-effectively in AWS and Snowflake.

Building and Deploying ML-Driven Products:
Collaborate closely with the Product Design and Engineering (PDE) team to design, build, and iterate on ML-powered products.
Translate complex machine learning algorithms into user-facing features and services.
Work with key stakeholders to ensure alignment between technical implementation and product goals.
Define and develop APIs for seamless integration of ML models with product functionalities.

Orchestration of Scalable ML Pipelines:
Engage with data and ML scientists to plan the architecture for end-to-end machine learning workflows.
Implement scalable training and deployment pipelines using tools such as Apache Airflow and Kubernetes.
Perform comprehensive testing to ensure reliability and accuracy of deployed models.
Develop instrumentation and automated alerts to manage system health and detect issues in real-time.

Attributes:

Technical acumen: Mastery of computer science fundamentals and understanding of core machine learning concepts.
Detail oriented: Responsible for mission-critical healthcare machine learning models.
Communications and Trust: Good communication skills with the ability to liaise with both technical and non-technical stakeholders.
Organization and Getting Stuff Done: Juggling multiple projects and timelines. Prioritizing. Keen eye for detail in all tasks and projects.
Growth Mindset: Your ability to learn from mistakes, reflect on mistakes, and not make mistakes again. Being curious and asking questions and showing resilience in the face of setbacks.

Benefits:

Join an energetic, diverse team dedicated to working towards the challenge of improving and saving patient lives
Private health insurance with Vitality Health for you and your family, including discounted gym memberships, wellness retreats, fitness devices, and lots more
28 days paid annual leave during each holiday year (including bank holidays)
Fully financed learning and personal development courses to help you grow in your role
Opportunity to attend conferences and acquire certifications, paid for by the company
New laptop of your choice for you to work on either at home, our at Circadia’s London Bridge office
Flexible / hybrid working to suit your personal circumstances and allow you to be productive wherever you are most comfortable working
Participate in and help plan regular team events, lunches and dinners

Circadia Health Glassdoor Company Review

3.3

Circadia Health DE&I Review

No rating

CEO of Circadia Health

Unknown name

Approve of CEO

Average salary estimate

$80000 / YEARLY (est.)

min

max

$70000K

$90000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Machine Learning Engineer, Circadia Health

At Circadia Health, we're pioneering a groundbreaking approach to healthcare with our FDA-cleared, completely contactless remote patient monitoring system. As a Machine Learning Engineer, you're not just an engineer; you're a vital part of our mission to enhance patient outcomes. Your expertise will help us transform experimental machine learning models into scalable, production-ready systems that deliver real value to patients and healthcare professionals. You’ll collaborate with our skilled Product Design and Engineering (PDE) team to create impactful ML-driven products, optimizing infrastructure and streamlining workflows for efficiency. Your days will be filled with challenges like developing and maintaining scalable ML pipelines, designing model monitoring systems, and translating complex algorithms into user-friendly features. If you enjoy building and orchestrating robust ML ecosystems in a dynamic startup environment, we want you to join our diverse team at Circadia Health. Let's make a difference in the world of healthcare, together! With comprehensive benefits like private health insurance and opportunities for personal development, we'd love for you to come and bring your unique talents and ideas to our team!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at Circadia Health

What responsibilities can I expect as a Machine Learning Engineer at Circadia Health?

As a Machine Learning Engineer at Circadia Health, you'll take charge of developing, deploying, and maintaining scalable machine learning pipelines. This includes optimizing model training and inference workflows to manage large-scale data effectively, as well as collaborating with the PDE team to build ML-driven healthcare products that truly make a difference.