AIML Engineer - Finance
On site
London, United Kingdom
Full Time
04-03-2025
Job Specifications
Site Name: London The Stanley Building
Posted Date: Mar 3 2025
At GSK, we see a world where advanced applications of Machine Learning and AI empower us to drive groundbreaking solutions that further our mission of enabling everyone to do more, feel better, and live longer. This ambitious vision will rely on developing cutting-edge products and solutions in Machine Learning and AI. If this excites you, we'd love to chat.
Our team focuses on creating innovative models to enhance the financial systems and processes that support GSK's ability to develop important therapies. By leveraging state-of-the-art machine learning and AI, we improve financial strategies and optimize decision-making across the organization. We are seeking an accomplished Machine Learning Engineer to help us accelerate these efforts and bring more ambitious, patient-focused solutions to life. Strong candidates will have a proven track record of delivering high-performing AI/ML-powered products in production environments and demonstrate expertise in complex mathematical modeling. We’re looking for a passion for advancing financial solutions that align with GSK’s mission, along with a commitment to continuous learning and development.
Our AI/ML team operates on principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're committed to creating an excellent working environment. Our leaders are dedicated to your career growth and development from day one.
In this role you will
Build models, services, and libraries that fulfil the stated API contract and metrics for a project
Effectively iterate on model design, training process design, code abstractions, etc. to improve key metrics of the model, service, or library
Aggressively test code to ensure the specification is met
Proactively communicate problems, delays, and changes to project lead or senior engineers and ask for help
Engage with code review and view it as a learning tool to improve engineering practice
Commit code early and often, and seek feedback along the way when needed
Frequently demo work and/or lessons learned for their team or for the organization
Why you?
Qualifications & Skills:
We are looking for professionals with these required skills to achieve our goals:
A minimum of a master’s degree in computer science, applied maths, statistics, physics, engineering or related field
Advanced programming expertise in Python and experience developing and delivering robust software solutions, including code testing
Understanding and applying best practices in Machine Learning, with breadth across the ML pipeline
Experience shipping products powered by machine learning
Proven ability to solve complex problems using creative approaches, state-of-the-art tools, and best engineering practices
Ability to work both autonomously and collaboratively on complex projects
Preferred Qualifications & Skills:
If you have the following characteristics, it would be a plus:
Understanding of modern ML Architectures, Platforms, and backend systems, including PyTorch or TensorFlow
Mentality to commit early and often, metrics before models, and shipping high quality production code
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)
Closing Date for Applications: Friday 14th March 2025 (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.
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. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).
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. The helpline is available from 8.30am to 12.00 noon Monday to Friday, during bank holidays these times and days may vary.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive .
As you apply, we will ask...
About the Company
We are uniting science, technology and talent to get ahead of disease together. Our community guidelines: https://gsk.to/socialmedia Know more
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