AI/ML Software Engineer - Computer Vision

Key Skills

Aartificial intelligence, Azure, Computer Vision (CV), Continuous Integration & Continuous Delivery - CI/CD, CUDA/GPU programming, DevOps, Google Cloud Platform (GCP), GPUs, Machine learning techniques, MLOps tools, PyTorch

Job Description

We're looking for an AI/ML Software Engineer to help us make this vision a reality. Competitive candidates are outstanding engineers with a track record in developing SOTA deep learning models for computer vision and production grade AI-powered software solutions. In particular, the team is working on developing cutting-edge solutions for Computational Pathology, hence previous experience with production-level AI/ML for medical imaging will be an added value.

The team you will be working with has a diverse background, ranging from highly experienced machine learning engineers, professional software engineers to board certified medical doctors. The team is primarily based in the GSK’s Stanley Building office next to Kings Cross train station at central London.

In this role you will

• Deliver robust, fully tested, and performant code for our imaging-based AI/ML pipelines (computational pathology) that can be deployed in production at scale in the cloud environment, including maintenance and integration with solutions provided by the platform engineers.
• Be fully integrated with AI/ML engineers to lead, design, and implement well decoupled, modularized, reusable, and scalable deep learning training and inference pipelines.
• Be accountable for best software engineering, MLOps and DevOps practices, and coach AI/ML engineers.
• Develop, maintain and scale data pipelines for the agile ingestion, retrieval and processing of large-scale histopathology images into the AI/ML pipeline (i.e. each one with order of magnitude of gigabytes)

Why you?

Qualifications & Skills:

We are looking for professionals with these required skills to achieve our goals:

• A degree in a quantitative or engineering discipline (e.g., computer science, engineering, among others)
• Experience working as a professional software engineer for AI/ML.
• Industrial experience in design and development of AI/ML software, scalable training, and deployment of AI/ML models.
• Advanced programming expertise in Python and in developing and delivering robust software solutions.
• Advanced expertise of modern software development tools and practices (agile frameworks).
• Experience with software engineering, MLOps and DevOps best practices (e.g. continuous integration (CI) and continuous deployment (CD), containerization, shell scripting etc).
• Experience with modern deep learning algorithms and model architectures.
• Experience with at least one major deep learning framework (PyTorch preferred).
• Experience in deploying AI/ML solutions with cloud computing Platforms, such as Google Cloud Platform or Azure and engineering AI/ML pipelines to optimise cloud resources (GPUs, CPUs)
• Experience in working with large-size images at scale, e.g. histopathology images and their format, and/or biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.), clinical data (e.g., electronic health records, clinical images, histopathology images)

Preferred Qualifications & Skills:

If you have the following characteristics, it would be a plus:

• Understanding of GPUs architectures and CUDA programming.
• Experience with software systems design.

Closing Date for Applications: Wednesday 2nd October 2024 (COB)

Please take a copy of the Job Description, as this will not be available post closure of the advert.

When applying for this role, please use the ‘cover letter’ of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application.

During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact 0808 234 4391. This will help us to understand any modifications we may need to make to support you throughout our selection process.