Medical technology internships Work, Jobs in London (with Salaries)

Machine Learning Engineering Intern
Snapchat —London
- Hybrid work
- Master's degree
- Bachelor's degree
- Machine learning
London - Long Internship 2026 - FIC Off-Cycle
BNP Paribas —London
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Marketing
- English
- Employee assistance programme
London - 2026 Long Term Internship - Counterparty Risk Analyst
BNP Paribas —London
- Full-time
- Hybrid work
- IT
- Internship
- Communication skills
- Employee assistance programme
8d
Marketing Graduate Trainee
Infopro Digital Services Limited —London
- Full-time
- Hybrid work
- Marketing
- English
- Microsoft Office
- Annual leave
- Employee assistance programme
Quick apply
Graduate/ Trainee Consultant | Entry level | 30k Base
TMO Recruitment —London
- £32,000 - £37,000 a year
- Full-time
- Bachelor's degree
- In-person
- Communication skills
- Health & wellbeing programme
- Annual leave
Quick apply
Support Analyst - EMEA
Canoe Intelligence —London
- £40,000 - £55,000 a year
- Hybrid work
- Work from home
- Employee assistance programme
Biomedical Analyst
Pangaea Data —London
- Doctoral degree
- Java
- Master's degree
- Flexible schedule
- Life insurance
London – Long Term Internship 2026 – Automated Market Making (AMM)
BNP Paribas —London
- Full-time
- Hybrid work
- Machine learning
- Organisational skills
- Internship
- Employee assistance programme
Graduate Technical Support Agent
Paloma Health —London
- £40,000 a year
- Full-time
- Hybrid work
- Azure
- Computer Science
- Engineering
- Annual leave
- Employee assistance programme
13d
London - Long Internship 2026 - Prime Services Quantitative Research
BNP Paribas —London
- Full-time
- Hybrid work
- Doctoral degree
- Computer Science
- Java
- Employee assistance programme
Treasury Intern
Equinix —London
- English
- Microsoft Office
- Internship
Global Quality Compliance Intern
GE HEALTHCARE —Chalfont Saint Giles
- English
- Administrative experience
- Analysis skills
1d
Databricks & Palantir Analytics – Graduate Trainee
SCOR —London
- Full-time
- SQL
- Analysis skills
- Agile
Junior Platform Engineer
MillTechFX —London
- Full-time
- Azure
- DevOps
- English
- Annual leave
- Life insurance
London – Long Term Internship 2026 - Global Macro Cross-Asset Structuring Intern
BNP Paribas —London
- Full-time
- Hybrid work
- Microsoft Powerpoint
- Microsoft Excel
- Bachelor's degree
- Employee assistance programme
7d
Operations Graduate
Capula —London
- Full-time
- Microsoft Excel
- SQL
- Analysis skills
- Gym membership
Quick apply
1d
London – Long Term Internship 2026 – Market Risk
BNP Paribas —London
- Full-time
- Hybrid work
- English
- Microsoft Office
- Master's degree
- Employee assistance programme
London – Long Term Internship 2026 - Market Risk
BNP Paribas —London
- Full-time
- Hybrid work
- English
- Microsoft Office
- Internship
- Employee assistance programme
Junior Business Intelligence Analyst
Systematica Investments —London
- Full-time
- Computer Science
- Data analysis skills
- Master's degree
Quick apply
Marie Sklodowska-Curie Early Stage Researcher in the Development of anti‐biofilm coatings with microscale anti-adhesion patterns
Imperial College London —South Kensington
- £44,284 - £48,797 a year
- Full-time
- Doctoral degree
- Engineering
- Master's degree
- Annual leave
1d

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medical technology internships jobs near london

Machine Learning Engineering Intern

Snapchat -
London

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Job details

Internship

Qualifications

TensorFlow
PyTorch
Master's degree
Bachelor's degree
Machine learning
Deep learning
Linux
Python
Debugging

Full job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The Spectacles team is pushing the boundaries of technology to bring people closer together in the real world. Our fifth-generation Spectacles, powered by Snap OS, showcase how standalone, see-through AR glasses make playing, learning, and working better together.

Snap’s camera supports real friendships through visual communication, self expression and storytelling. Moving forward, our camera will play a transformative role in how people experience the world around them, combining what they see in the real world, with all that’s available to them in the digital world.

We are looking for a Machine Learning Engineering Intern to join the Spectacles AR engineering team at Snap Inc!

What you’ll do

Join the Spectacles AR team in the London, UK office for a 13-week Summer 2026 Machine Learning Engineering Internship. As an intern, you will contribute to the Spectacles software organization, which is dedicated to developing the perception and understanding systems necessary for intelligent AR experiences on Spectacles.

Additionally you will:

Work on a technical project that aligns with Spectacles product and research needs, focused on scene understanding for AR experiences.
Prototype, train, and evaluate machine learning models for computer vision and multimodal understanding, using Python and modern deep learning frameworks.
Contribute to models, tooling, and algorithms in geometric scene understanding, 3D reconstruction, semantic scene understanding, visual localisation, and connecting scene understanding to language for richer, more semantic AR interactions.
Partner closely with your mentor and teammates across Spectacles software and other cross-functional teams to integrate your work into production-facing systems.
Learn and apply new software engineering and machine learning skills in a fast-paced, collaborative environment.

Knowledge, Skills & Abilities

Strong computer science fundamentals and problem-solving skills.
Proficiency in Python for data processing, model development, and experimentation.
Familiarity with at least one deep learning framework (e.g. PyTorch, TensorFlow, or JAX).
Understanding of core concepts in machine learning and at least one of:
- Computer Vision (e.g. image classification, detection, segmentation, depth estimation, optical flow, 3D geometry), or
- Natural Language / LLMs (e.g. sequence modeling, transformers, language model fine-tuning, vision-language models).
Ability to understand, debug, and improve existing code as well as develop new algorithms using advanced computer vision and machine learning techniques.
Ability to collaborate with other engineers and cross-functional partners, and communicate technical ideas clearly.
Comfortable working in a Linux-based development environment.

Minimum Qualifications

Currently enrolled in a BS, MS program in a technical field such as Computer Science, Electrical/Computer Engineering, Mathematics, or a related discipline, with a graduation date no sooner than December 2026.
Graduating between December 2026 and Spring 2027.
Must be able to start in office in May or June 2026 for a 13-week internship.

Preferred Qualifications

Coursework or hands-on project experience in machine learning or deep learning.
Experience writing, documenting and debugging high quality code in Python
Experience with standard developer practices (version control, rigorous testing, documentation standards)

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Apply Now

Refine Your Search

medical technology internships jobs in london

Machine Learning Engineering Intern

London - Long Internship 2026 - FIC Off-Cycle

London - 2026 Long Term Internship - Counterparty Risk Analyst

Marketing Graduate Trainee

Graduate/ Trainee Consultant | Entry level | 30k Base

Support Analyst - EMEA

Biomedical Analyst

London – Long Term Internship 2026 – Automated Market Making (AMM)

Graduate Technical Support Agent

London - Long Internship 2026 - Prime Services Quantitative Research

Treasury Intern

Global Quality Compliance Intern

Databricks & Palantir Analytics – Graduate Trainee

Junior Platform Engineer

London – Long Term Internship 2026 - Global Macro Cross-Asset Structuring Intern

Operations Graduate

London – Long Term Internship 2026 – Market Risk

London – Long Term Internship 2026 - Market Risk

Junior Business Intelligence Analyst

Marie Sklodowska-Curie Early Stage Researcher in the Development of anti‐biofilm coatings with microscale anti-adhesion patterns

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