Senior AI/ML Engineer, Good Machine Learning Practice

Key Skills

Aartificial intelligence, Continuous Integration & Continuous Delivery - CI/CD, Data Discovery, Docker, Effective communication skills, Forensic Medicine, Kubernetes-K8s, Machine learning techniques, Metagenomics, MLOps tools, Molecular biology, Proteomics, Python Programming, PyTorch, Transcriptomics

Job Description

AI/ML Senior Engineer, Good Machine Learning Practice

At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. As part of this, we are constantly aiming to improve the quality of our development process and of the ML tools we are building. If this excites you and you want to be part of our growing team, we would love to chat.

We are looking for a senior ML and software engineer with a track record in leading the development of production grade software solutions, who can collaborate closely with stakeholders from AI/ML, platform engineering, and GSK’s regulatory team. Ideal candidates are outstanding software engineers with in-depth knowledge in modern software craftsmanship practices who want to drive the implementation of a cross-organizational quality standard for software, data management and deployment pipelines.

The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

At GSK we are combining the power of genetic and genomic insights into what causes disease, with the speed and scale of artificial intelligence and machine learning (AI/ML) to make better predictions about who a treatment might work for, and why. We believe this powerful combination of data and technology holds the key to fundamentally transforming medical discovery for the better, improving R&D success rates and shaping how even the most challenging diseases, like neurological conditions and cancer, can be both prevented and treated.

In 2021 we delivered four major product approvals: Cabenuva for HIV, Jemperli for endometrial cancer, Xevudy for COVID-19 and Apretude, our new long-acting medicine for HIV prevention.

In this role you will

• Drive the implementation of our Good Machine Learning Practice framework, leading ML and software engineers from teams across AIML and GSK.
• Deliver robust, tested and performant code in an agile development environment.
• Collaborate closely with stakeholders from GSK’s AIML, platform and regulatory teams to continuously raise the quality of our ML pipelines and software products, in compliance with regulatory requirements.

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.

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, computational biology, bioinformatics, engineering, among others) and experience in design, development and deployment of commercial data-driven software.
• Demonstrated advanced programming expertise in Python and in developing and delivering robust software solutions with a focus on process quality.
• Experience of modern software engineering tools and best practices, including containerization (Docker), continuous integration and continuous deployment (CI/CD), and MLOps.
• Intimate understanding of the ML development cycle and at least one major deep learning framework (preferably PyTorch).
• Experience in driving organization-scale software projects and leading ML/software engineers across teams.
• Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority.

Preferred Qualifications & Skills:

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

• Experience with quality management and working in regulated environments.
• Experience of managing and working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
• Experience with Kubernetes.
• Contributions to relevant open-source projects.
• A background or interest in drug discovery, biology, medicine or ethics.

Why GSK

Uniting science, technology and talent to get ahead of disease together

GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to impact the health of 2.5 billion people around the world in the next 10 years.

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class(US only).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels

As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.