ML Research Scientist (computer vision)

Please note: we are looking for candidates to be based in and around London and are happy to come to our London office 4-5 times per. week. If you are based outside of London, you must be happy to frequently travel to our office.

About Skin Analytics
Skin Analytics is an award-winning, health tech company that has launched the world’s first AI-supported Skin Cancer pathway for a faster skin cancer diagnosis.
We are the first company to receive a NICE recommendation for an autonomous AI medical device to be used across the NHS dermatology pathways, which is deployed in more than 25 NHS organisations, and growing. Additionally, we collaborate with some of the largest health insurers to reach patients in their own homes. We recently raised a £15M series B funding round, and after receiving our Class III EU MDR certification, we are ready to scale internationally.

We are a team of passionate people who want to build a future where no one dies from skin cancer

The Role
Interested in building world-changing technologies, and deploying AI for medical diagnostics? Skin Analytics is offering a role in our Machine Learning team to design and deploy new AI models into healthcare pathways. This role does a lot of experimenting and fast MVP building. You feel comfortable within the UX/UI space and with building prototypes of (initially) simple computer vision products, that can evolve into core products over time. You’ll work iteratively in collaboration with customer facing staff to develop what our users need. We can provide the data, compute, support and infrastructure needed to help you build powerful AI diagnostic tools, and see them deployed safely and effectively into the real world.

Responsibilities

• Working to build solutions to solve computer vision or machine learning problems, in a fast-paced, interdisciplinary environment
• Contribute to the design, implementation and validation of algorithms focused on image classification, generation, segmentation and localisation in the domain of medical imagery.
• Working on research problems within a product development timeline
• Developing practical solutions to difficult problems
• Able to communicate effectively with the products and development teams to transfer technologies into our commercial pipeline.
• Continuously develop and maintain knowledge of the latest machine learning techniques with a view to improving our machine learning algorithms

Requirements

Required Experience

• Masters or Ph.D. in computer vision, image processing or machine learning related discipline.
• Applying machine learning techniques to medical applications.
• Designing machine learning models and neural network architectures, including convolutional neural networks and transformers.
• Strong code development skills, preferably in Python, and machine learning 
• Strong documentation skills. 
• Experience in developing machine learning models for use in mobile applications.
• Highly motivated, with good verbal and written communication skills.

Interview process

• 1st Stage: Screening Call with our Talent & People Lead (30 mins)
• 2nd Stage: Competency-based interview with Hiring Manager (60 mins)
• 3rd Stage: A take home assignment, followed by a discussion of the project Presentation and general culture interview (60 mins)

Benefits

• Competitive salary

• Bonus Structure 
• Share options package - all our employees have ownership in the company
• Private healthcare incl. Partner & children
• 25 days annual leave (+ company shut down in August + bank holidays)
• Enhanced parental leave - includes adoption & foster
• Training budget
• Besides weekly catch-ups, monthly meetings to talk about you, your ambitions and make plans
• Lots of fun social activities including company offsite!

The Real Stuff

Skin Analytics embraces and is committed to diversity and equal opportunities. We are dedicated to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.


Skin Analytics manufactures medical devices and complies with ISO standards 13485 and 27001. As part of your employment, you will be assigned Quality Management System (QMS) and Information Security Management System (ISMS). We require that our employees agree to complete their assigned training and diligently follow all company quality management and information security processes.​​