Machine Learning Engineer

Allegis Global Solutions; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

GSK in London is seeking a Machine Learning Engineer to shape data-driven therapies through ML models and scalable pipelines. You will work with R&D scientists to deploy models into production in cloud environments, enabling reliable clinical decision making and advanced analytics across high-dimensional data.

The role emphasizes strong Python, test-driven development, agile practices, and modern CI/CD workflows while exploring biology-focused data and maintaining high software quality.

Qualifications

• Bachelor's degree in a relevant field (computational, numerate or life sciences).
• Experience with ML models for high-dimensional data.
• Strong Python skills and pytest experience.

Responsibilities

• Build ML models for predicting biologically relevant phenomena from in-house data.
• Work with leaders to define success criteria and metrics.
• Design and implement statistical and ML methods to drive key metrics.
• Deploy models into production in a cloud environment.
• Ensure high-quality software with tests and documentation.
• Participate in code reviews to raise standards.

Skills

Python

Agile methodologies

Git / GitHub

CI / CD

Cloud deployment

Unit testing (pytest)

Education

Bachelor's degree in a relevant field

Tools

Docker

GitHub

CI/CD

Cloud deployment

Job description

Job title: Machine Learning Engineer
Location: Stanley Building, London
Contract Type: Inside IR35

Overview

GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together.

At GSK, we are actively working on building a future in which state-of-the-art software, Artificial Intelligence (AI) and Machine Learning (ML) enable us to develop new therapies and personalized medicines that drive better outcomes for patients at reduced cost with fewer side effects. This ambitious mission requires scalable, cloud-native solutions at the forefront of Software Engineering, Cloud Infrastructure, Efficient Compute, Machine Learning and AI. If this excites you, we would love to chat.

Role Overview

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. We’re looking for a highly skilled data engineer to help us make this vision a reality.

Strong candidates will have a track record of building ML models and pipelines using high dimensional real-world data, and being responsible for modeling and data choices made throughout the process. We have a commitment to quality, so successful candidates will be able to deploy their models into production with a view towards driving reliable clinical decision making.

This role requires a passion for solving challenging problems aligned to exciting Artificial Intelligence and Machine Learning applications. Educational or professional background in the biological sciences is a plus but is not necessary; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory.

Key Responsibilities

• Build feature extraction, classification, and regression models for predicting biologically relevant phenomena from in-house data.
• Work with leadership, product, and R&D scientists to define success criteria for models and develop metrics that track those criteria.
• Choose, design and implement statistical and machine learning methods to drive business-critical metrics.
• Deploy models into production in a cloud environment following best practices.
• Responsible for high quality software implementations according to best practices, including automated test suites and documentation.
• Participate in code reviews, continuously improving personal standards as well as the wider team and product.

MinimumQualifications

• 2+ years of Machine Learning Engineering or Data Scientist experience with a Bachelors degree in a relevant field (including computational, numerate or life sciences), or equivalent experience.
• Experience building ML models for high-dimensional data.
• Strong background in using quantitative methods for measuring real-world problems.
• Strong skills with industry experience in Python, including unit testing (e.g. pytest).
• Knowledge of agile practices and able to perform in agile software development environments.
• Experience with modern software development tools / ways of working (e.g git/GitHub, CICD, cloud deployment).

Preferred Qualifications

• Demonstrated experience with biological or scientific data (e.g. histology imaging, transcriptomics, clinical records), or pharmaceutical industry experience.
• Bioinformatics expertise, especially for imaging data.
• Experience with agentic workflows, including skills and rubrics.
• Experience with Docker or containerized applications.

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.

Inclusion at GSK

GSK is an EqualOpportunity/AffirmativeAction Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, 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.

If you need any adjustments in the recruitment process, please get in touch with our Recruitment team([e-mail]) to further discuss this today.

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