Careers at NEX
Careers at NEX
Careers at NEX
Backed by:
Backed by:
Backed by:
Machine Learning Internship in Digital Health
(6-month Internship | Hybrid Bangkok)
Build AI that helps hospitals prevent infections—before they start.
Machine Learning Internship in Digital Health
(6-month Internship | Hybrid Bangkok)
Build AI that helps hospitals prevent infections—before they start.
Machine Learning Internship in Digital Health
(6-month Internship | Hybrid Bangkok)
Build AI that helps hospitals prevent infections—before they start.
Join Us at NEX Health Intelligence
Join Us at NEX Health Intelligence
Join Us at NEX Health Intelligence
At NEX, we’re rethinking how hospitals monitor and prevent infections. Our intelligent surveillance and clinical decision support platform equips healthcare teams with the insight to act before outbreaks happen.
Hospital-acquired infections (HAIs) and antimicrobial resistance (AMR) are growing global threats. Clinicians today often operate without clear guidance—decisions frequently rely on delayed test results and manual tracking. We're changing that.
Spun out of mathematics and machine learning research at Imperial College London, NEX combines real-time hospital data, predictive modelling, and intuitive design to help hospitals detect and prevent infections earlier.
We’ve already validated our technology using over 500,000 patient records across:
Imperial College Healthcare NHS Trust (UK)
University Hospital of Geneva (Switzerland)
Phramongkutklao Hospital (Thailand – full deployment now live)
We’ve recently won an evaluation contract with Guy’s & St Thomas’ NHS Foundation Trust (London), and are preparing to scale to multiple UK and international sites.
We're a small, fast-moving team—scientists, developers, and designers—motivated by real-world impact. And we’re now looking for an ML intern who’s excited to join us on this journey.
At NEX, we’re rethinking how hospitals monitor and prevent infections. Our intelligent surveillance and clinical decision support platform equips healthcare teams with the insight to act before outbreaks happen.
Hospital-acquired infections (HAIs) and antimicrobial resistance (AMR) are growing global threats. Clinicians today often operate without clear guidance—decisions frequently rely on delayed test results and manual tracking. We're changing that.
Spun out of mathematics and machine learning research at Imperial College London, NEX combines real-time hospital data, predictive modelling, and intuitive design to help hospitals detect and prevent infections earlier.
We’ve already validated our technology using over 500,000 patient records across:
Imperial College Healthcare NHS Trust (UK)
University Hospital of Geneva (Switzerland)
Phramongkutklao Hospital (Thailand – full deployment now live)
We’ve recently won an evaluation contract with Guy’s & St Thomas’ NHS Foundation Trust (London), and are preparing to scale to multiple UK and international sites.
We're a small, fast-moving team—scientists, developers, and designers—motivated by real-world impact. And we’re now looking for an ML intern who’s excited to join us on this journey.
At NEX, we’re rethinking how hospitals monitor and prevent infections. Our intelligent surveillance and clinical decision support platform equips healthcare teams with the insight to act before outbreaks happen.
Hospital-acquired infections (HAIs) and antimicrobial resistance (AMR) are growing global threats. Clinicians today often operate without clear guidance—decisions frequently rely on delayed test results and manual tracking. We're changing that.
Spun out of mathematics and machine learning research at Imperial College London, NEX combines real-time hospital data, predictive modelling, and intuitive design to help hospitals detect and prevent infections earlier.
We’ve already validated our technology using over 500,000 patient records across:
Imperial College Healthcare NHS Trust (UK)
University Hospital of Geneva (Switzerland)
Phramongkutklao Hospital (Thailand – full deployment now live)
We’ve recently won an evaluation contract with Guy’s & St Thomas’ NHS Foundation Trust (London), and are preparing to scale to multiple UK and international sites.
We're a small, fast-moving team—scientists, developers, and designers—motivated by real-world impact. And we’re now looking for an ML intern who’s excited to join us on this journey.
About the Role
About the Role
About the Role
You’ll be joining us as a Machine Learning Scientist (Intern), embedded directly into our R&D team. This is a hands-on role—ideal for a recent graduate or early-career technologist looking to apply their technical skills to high-impact health problems.
You'll contribute to the development of models used in real hospital settings, and gain experience across the full machine learning lifecycle—from data ingestion and feature engineering to model deployment and clinical integration.
This is a paid internship offering relocation support and the opportunity to transition into a full-time, salaried position with equity (UK-based). Interns who demonstrate strong performance and a good fit for the team will be offered either a full-time Machine Learning Engineer or Machine Learning Scientist position.
You’ll be joining us as a Machine Learning Scientist (Intern), embedded directly into our R&D team. This is a hands-on role—ideal for a recent graduate or early-career technologist looking to apply their technical skills to high-impact health problems.
You'll contribute to the development of models used in real hospital settings, and gain experience across the full machine learning lifecycle—from data ingestion and feature engineering to model deployment and clinical integration.
This is a paid internship offering relocation support and the opportunity to transition into a full-time, salaried position with equity (UK-based). Interns who demonstrate strong performance and a good fit for the team will be offered either a full-time Machine Learning Engineer or Machine Learning Scientist position.
You’ll be joining us as a Machine Learning Scientist (Intern), embedded directly into our R&D team. This is a hands-on role—ideal for a recent graduate or early-career technologist looking to apply their technical skills to high-impact health problems.
You'll contribute to the development of models used in real hospital settings, and gain experience across the full machine learning lifecycle—from data ingestion and feature engineering to model deployment and clinical integration.
This is a paid internship offering relocation support and the opportunity to transition into a full-time, salaried position with equity (UK-based). Interns who demonstrate strong performance and a good fit for the team will be offered either a full-time Machine Learning Engineer or Machine Learning Scientist position.
Location & Start Date
Location & Start Date
Location & Start Date
Start: Immediate.
Location: Hybrid (Bangkok) - Relocation support available.
Type: Full-time internship (6 months), with intention to transition into a permanent position if successful
We currently have three team members based in Bangkok (True Digital Park). If you're based elsewhere, we’re happy to support relocation for the internship.
Start: Immediate.
Location: Hybrid (Bangkok) - Relocation support available.
Type: Full-time internship (6 months), with intention to transition into a permanent position if successful (UK-based).
We currently have three team members based in Bangkok (True Digital Park). If you're based elsewhere, we’re happy to support relocation for the internship.
Start: Immediate.
Location: Hybrid (Bangkok) - Relocation support available.
Type: Full-time internship (6 months), with intention to transition into a permanent position if successful
We currently have three team members based in Bangkok (True Digital Park). If you're based elsewhere, we’re happy to support relocation for the internship.
What You’ll Do
What You’ll Do
What You’ll Do
Develop and maintain machine learning models for early detection of multidrug-resistant organisms (MDROs) and bloodstream infections.
Contribute to research and implementation of novel techniques—particularly graph-based risk prediction models.
Prototype and test how LLMs (e.g., GPT-style models) could support syndromic surveillance and clinical recommendations.
Build interpretable models and help translate predictions into clinical insights that users can trust.
Collaborate with cross-functional teams—clinicians, epidemiologists, designers, and engineers—to develop real-world solutions.
Contribute to backend infrastructure and MLOps pipelines, with opportunities to learn deployment, scaling, and monitoring best practices.
This is not a lab project—your work will feed directly into systems protecting real patients in real hospitals.
Develop and maintain machine learning models for early detection of multidrug-resistant organisms (MDROs) and bloodstream infections.
Contribute to research and implementation of novel techniques—particularly graph-based risk prediction models.
Prototype and test how LLMs (e.g., GPT-style models) could support syndromic surveillance and clinical recommendations.
Build interpretable models and help translate predictions into clinical insights that users can trust.
Collaborate with cross-functional teams—clinicians, epidemiologists, designers, and engineers—to develop real-world solutions.
Contribute to backend infrastructure and MLOps pipelines, with opportunities to learn deployment, scaling, and monitoring best practices.
This is not a lab project—your work will feed directly into systems protecting real patients in real hospitals.
Develop and maintain machine learning models for early detection of multidrug-resistant organisms (MDROs) and bloodstream infections.
Contribute to research and implementation of novel techniques—particularly graph-based risk prediction models.
Prototype and test how LLMs (e.g., GPT-style models) could support syndromic surveillance and clinical recommendations.
Build interpretable models and help translate predictions into clinical insights that users can trust.
Collaborate with cross-functional teams—clinicians, epidemiologists, designers, and engineers—to develop real-world solutions.
Contribute to backend infrastructure and MLOps pipelines, with opportunities to learn deployment, scaling, and monitoring best practices.
This is not a lab project—your work will feed directly into systems protecting real patients in real hospitals.
Tools, Technologies & Ways of Working
Tools, Technologies & Ways of Working
Tools, Technologies & Ways of Working
During the internship, you’ll gain hands-on experience with:
Core ML & Data Science Stack:
Python, NumPy, Pandas, scikit-learn, PyTorchGraph & Predictive Modelling:
Graph-based ML techniques, feature engineering, Graph Neural Networks, risk scoring modelsNLP & LLMs:
Experimenting with open-source large language models (e.g., GPT-style models), especially for syndromic surveillance and clinical textInfrastructure & DevOps:
Docker, Linux environments, REST APIs, PostgreSQLVersion Control & Collaboration:
Git, GitHub, peer-reviewed pull requests, structured issue trackingSoftware Stack:
Backend services using Python (Flask), with integration into a custom web-based platformAgile Development:
Working in sprints with a lean, collaborative team—balancing discovery, prototyping, and production alongside developers, product designers, and product managers.Research-Driven Mindset:
Reviewing recent ML/AI publications and adapting cutting-edge methods into deployable systems
During the internship, you’ll gain hands-on experience with:
Core ML & Data Science Stack:
Python, NumPy, Pandas, scikit-learn, PyTorchGraph & Predictive Modelling:
Graph-based ML techniques, feature engineering, Graph Neural Networks, risk scoring modelsNLP & LLMs:
Experimenting with open-source large language models (e.g., GPT-style models), especially for syndromic surveillance and clinical textInfrastructure & DevOps:
Docker, Linux environments, REST APIs, PostgreSQLVersion Control & Collaboration:
Git, GitHub, peer-reviewed pull requests, structured issue trackingSoftware Stack:
Backend services using Python (Flask), with integration into a custom web-based platformAgile Development:
Working in sprints with a lean, collaborative team—balancing discovery, prototyping, and production alongside developers, product designers, and product managers.Research-Driven Mindset:
Reviewing recent ML/AI publications and adapting cutting-edge methods into deployable systems
During the internship, you’ll gain hands-on experience with:
Core ML & Data Science Stack:
Python, NumPy, Pandas, scikit-learn, PyTorchGraph & Predictive Modelling:
Graph-based ML techniques, feature engineering, Graph Neural Networks, risk scoring modelsNLP & LLMs:
Experimenting with open-source large language models (e.g., GPT-style models), especially for syndromic surveillance and clinical textInfrastructure & DevOps:
Docker, Linux environments, REST APIs, PostgreSQLVersion Control & Collaboration:
Git, GitHub, peer-reviewed pull requests, structured issue trackingSoftware Stack:
Backend services using Python (Flask), with integration into a custom web-based platformAgile Development:
Working in sprints with a lean, collaborative team—balancing discovery, prototyping, and production alongside developers, product designers, and product managers.Research-Driven Mindset:
Reviewing recent ML/AI publications and adapting cutting-edge methods into deployable systems
What We're Looking For
What We're Looking For
What We're Looking For
We’re looking for a curious, motivated problem-solver who’s excited to apply machine learning to real-world healthcare challenges.
Must-Haves
A Bachelor’s degree or higher in Computer Science, Mathematics, Statistics, Physics, or a related technical discipline
(Exceptionally strong self-taught candidates or bootcamp grads are also welcome to apply)A solid understanding of core statistics and machine learning principles
Experience applying ML in academic, personal, or professional projects
Proficiency in Python, with working knowledge of libraries like scikit-learn, NumPy, or PyTorch
Strong written and verbal communication skills in English
Attention to detail and a high standard for code quality, especially in high-stakes environments like healthcare
Nice-to-Haves
Experience with graph neural networks, network science, or graph-based feature engineering
Interest in or exposure to healthcare, epidemiology, or public health
Prior experience working in a startup, research lab, or fast-paced, self-directed environment
Broader software engineering experience, including backend or full-stack projects
Experience contributing to open-source projects or collaborative coding environments
What You’ll Get
What You’ll Get
What You’ll Get
Real-World Impact – Your code won’t sit in a notebook—it’ll protect lives in hospitals.
Mentorship & Learning – Work alongside researchers trained at Imperial, Oxford, MIT, and Harvard.
Global Exposure – Collaborate with teams in the UK, EU, APAC
Startup Culture – We move fast, support each other, and celebrate small wins.
Career Path – Outstanding interns will be considered for full-time roles with competitive salary and equity.
Flexibility & Trust – We prioritise output and impact over hours clocked.
Real-World Impact – Your code won’t sit in a notebook—it’ll protect lives in hospitals.
Mentorship & Learning – Work alongside researchers trained at Imperial, Oxford, MIT, and Harvard.
Global Exposure – Collaborate with teams in the UK, EU, APAC
Startup Culture – We move fast, support each other, and celebrate small wins.
Career Path – Outstanding interns will be considered for full-time roles with competitive salary and equity.
Flexibility & Trust – We prioritise output and impact over hours clocked.
Real-World Impact – Your code won’t sit in a notebook—it’ll protect lives in hospitals.
Mentorship & Learning – Work alongside researchers trained at Imperial, Oxford, MIT, and Harvard.
Global Exposure – Collaborate with teams in the UK, EU, APAC
Startup Culture – We move fast, support each other, and celebrate small wins.
Career Path – Outstanding interns will be considered for full-time roles with competitive salary and equity.
Flexibility & Trust – We prioritise output and impact over hours clocked.
Not the Right Fit If You…
Not the Right Fit If You…
Not the Right Fit If You…
Need tasks to be fully scoped—we expect you to help shape the problem, not just solve it.
Prefer routine—we’re still figuring things out and value agility.
Aren’t interested in healthcare—our mission is at the core of everything we do.
Struggle with reliability—our systems can’t fail silently.
Aren’t excited by early-stage startups—this role will stretch you, and that’s the point.
Need tasks to be fully scoped—we expect you to help shape the problem, not just solve it.
Prefer routine—we’re still figuring things out and value agility.
Aren’t interested in healthcare—our mission is at the core of everything we do.
Struggle with reliability—our systems can’t fail silently.
Aren’t excited by early-stage startups—this role will stretch you, and that’s the point.
Need tasks to be fully scoped—we expect you to help shape the problem, not just solve it.
Prefer routine—we’re still figuring things out and value agility.
Aren’t interested in healthcare—our mission is at the core of everything we do.
Struggle with reliability—our systems can’t fail silently.
Aren’t excited by early-stage startups—this role will stretch you, and that’s the point.
Apply Now
Apply Now
Apply Now
We don’t care where you’re from, your gender, race, or what school you went to (or even if you’ve been to school!). We care if you’re great. We hire based on ability, attitude, and alignment with our mission-nothing else. Show us what you can do, and how you’ll help us raise the bar.
We don’t care where you’re from, your gender, race, or what school you went to (or even if you’ve been to school!). We care if you’re great. We hire based on ability, attitude, and alignment with our mission-nothing else. Show us what you can do, and how you’ll help us raise the bar.
We don’t care where you’re from, your gender, race, or what school you went to (or even if you’ve been to school!). We care if you’re great. We hire based on ability, attitude, and alignment with our mission-nothing else. Show us what you can do, and how you’ll help us raise the bar.
Interviewing starts August 6th, when we find the right person, hiring decision will be fast.
Interviewing starts August 6th, when we find the right person, hiring decision will be fast.
Interviewing starts August 6th, when we find the right person, hiring decision will be fast.
Our Hiring Process
Our Hiring Process
Our Hiring Process
Step
00
Apply
Apply through the website link and enter responses to our questions
Step
01
Initial Conversation
An informal chat to get to know each other
Step
02
Technical Interview
Interview with technical expert diving into your experience
Step
03
Role-Sepcific Task
A short, practical assignment tailored to the role.
Step
04
Team Interview
Meet the team. Get a feel for how we work together
Step
05
Final Interview
In-person discussion with founders. Bring your questions
Step
00
Apply
Apply through the website link and enter responses to our questions
Step
01
Initial Conversation
An informal chat to get to know each other
Step
02
Technical Interview
Interview with technical expert diving into your experience
Step
03
Role-Sepcific Task
A short, practical assignment tailored to the role.
Step
04
Team Interview
Meet the team. Get a feel for how we work together
Step
05
Final Interview
In-person discussion with founders. Bring your questions
00
Apply
Apply through the website link and enter responses to our questions
01
Initial Conversation
An informal chat to get to know each other
02
Technical Interview
Interview with technical expert diving into your experience
03
Role-Sepcific Task
A short, practical assignment tailored to the role.
04
Team Interview
Meet the team. Get a feel for how we work together
05
Final Interview
In-person discussion with founders. Bring your questions
00
Apply
Apply through the website link and enter responses to our questions
01
Initial Conversation
An informal chat to get to know each other
02
Technical Interview
Interview with technical expert diving into your experience
03
Role-Sepcific Task
A short, practical assignment tailored to the role.
04
Team Interview
Meet the team. Get a feel for how we work together
05
Final Interview
In-person discussion with founders. Bring your questions
Get Started Today
Join hospitals and health systems already using NEX to stay ahead of infection threats.
Get Started Today
Join hospitals and health systems already using NEX to stay ahead of infection threats.
Get Started Today
Join hospitals and health systems already using NEX to stay ahead of infection threats.
Get Started Today
Join hospitals and health systems already using NEX to stay ahead of infection threats.