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At GSK, we are actively working on building a future in which Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized drugs that drive better outcomes for patients, at reduced cost, and with fewer side effects. It is an ambitious goal that requires the research and development of solutions at the cutting edge of AI/ML applied to the creation of transformational medicines for the patients we serve. If you would love to be part of making a difference, then consider joining us and applying for our AI/ML Engineer II position.

The Applied AI team works to develop tools, models and processes that enable our scientists to create preventative products, to discover ways to treat illnesses and to glean insights from a vast amount of data across multiple modalities. Our team fosters a culture of learning and collegiality. We have a broad portfolio which includes work in the field of computer vision, NLP, data science, machine learning and deep learning. Our Applied AI/ML Engineers empower research scientists with high dimensional computer vision analysis and with up-to-date NLP solutions such as large language models.

The AI/ML Engineer will apply established algorithms and novel solutions that are packaged into user-facing AI products that GSK scientists use in their day-to-day work to accelerate drug discovery. This is an opportunity to make high impact in examples that include improving the decision cycle time for our biopharmaceuticals using data-driven practices and accelerating assets in clinical trials through forecasting. As AI/ML Engineer II, you will:

• Develop and deploy machine learning models and algorithms.
• Preprocess large scale data to ensure data quality and model accuracy.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Evaluate and select product-driven machine learning frameworks, libraries, and tools.
• Review code, present technical solutions and contribute to our developing codebase with well-tested, production-ready code.
• Continuously monitor and evaluate the performance of deployed models and make necessary adjustments with data at scale.
• Communicate complex technical concepts to non-technical stakeholders.
• Mentor other engineers and contribute to AIML discourse at GSK and beyond.
• Competitive candidates will have in-depth knowledge of machine learning with a track record of developing deep learning models for solving challenging real-world scientific problems. They should be comfortable with writing quality, well-documented, and well-tested code in the AI/ML space and operate in an agile environment.

Please Note: This is a Hybrid opportunity, and you will work in a 3/2 onsite and remote split, based at The Stanley Building in Kings Cross London.

Why you?

Basic Qualifications:

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

Education and Experience:

• Master's degree in Computational Sciences, Engineering, Data Science/ML, Applied Mathematics, Statistics, or a related scientific field, with a minimum of 3 years of relevant work experience.
• OR Bachelor's degree in the aforementioned fields with a minimum of 5 years of work experience.

Machine Learning and Software Engineering:

• Strong experience in machine learning, including developing and deploying machine learning models and algorithms.
• Proficiency in software engineering principles and practices.
• Excellent programming skills in Python.

Collaboration and CI/CD:

• Demonstrated experience working in a collaborative CI/CD (Continuous Integration/Continuous Deployment) software development environment.
• Proficiency in using Git for version control.

Preferred Qualifications:

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

• PhD in (Computational Sciences, Engineering, Data Science/ML, Applied Mathematics, Statistics, or related scientific field) with 2+ years of relevant work experience.
• Track record of writing software in a collaborative team in industrial environments or open-source projects, applying practices in machine learning, software engineering, and/or production deployment of ML products.
• Applied industry experience of modern ML architectures, statistic, and deep learning.
• Experience shipping scientific products powered by machine learning.
• Knowledge in disease biology, molecular biology, and biochemistry.

Why GSK?

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 organization 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.

#LI-GSK

Why Us?

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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.

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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.

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 [email protected] 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.

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