AIML Software Engineer, Responsible AI in London
AIML Software Engineer, Responsible AI

AIML Software Engineer, Responsible AI in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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Gsk

At a Glance

  • Tasks: Design and build AI tools that prioritise ethics and safety in healthcare.
  • Company: Join GSK, a global biopharma leader dedicated to innovative health solutions.
  • Benefits: Enjoy competitive pay, flexible working, and a commitment to your career growth.
  • Why this job: Make a real difference in patient care through responsible AI and ML applications.
  • Qualifications: Degree in a quantitative field or equivalent experience in ML engineering.
  • Other info: Collaborative culture with opportunities for diverse perspectives and continuous learning.

The predicted salary is between 36000 - 60000 £ per year.

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. If this excites you and you want to be part of our growing team, we would love to chat. We are looking for ML and software engineers with a track record in developing production grade software solutions, who can collaborate closely with our AI/ML engineers and researchers. Ideal candidates are outstanding software engineers with in-depth knowledge in modern software craftsmanship practices and a keen interest in ethical and safety aspects of using AI in biomedical applications and the clinic. 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.

Responsibilities

  • Design and build tooling that implements Responsible AI principles (e.g., fairness, robustness, transparency, privacy, and security) across GSK's AI/ML workflows.
  • Efficiently operationalize the latest AI ethics and policy guidelines to improve the transparency and governance of GSK's models and pipelines, while reducing the documentation burden (e.g. via AI-driven automation and agents).
  • Contribute to AI/ML research on the responsible use of AI in biomedical and clinical applications.
  • Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK's responsible AI strategy.

Qualifications

  • A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist.
  • Demonstrated advanced programming expertise in Python and in developing and delivering robust software solutions.
  • Knowledge of machine learning principles and state-of-the-art modelling approaches, and experience with at least one major deep learning framework (preferably PyTorch).
  • Knowledge of modern software engineering tools and best practices.
  • Keenness to learn fast in a new domain and to continuously develop your ML and software engineering skills.
  • Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority.

Preferred Qualifications & Skills

  • Experience with containerization (Docker), continuous integration and continuous deployment (CI/CD), and MLOps.
  • Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images).
  • Research experience (e.g., Master’s project, internship at research organization).
  • Contributions to relevant open-source projects.
  • A background or interest in 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 purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we’re committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. 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.

AIML Software Engineer, Responsible AI in London employer: Gsk

At GSK, we pride ourselves on being an exceptional employer, fostering a culture of collaboration, accountability, and continuous development. Our commitment to the responsible use of AI in healthcare not only drives innovation but also ensures that our employees are at the forefront of ethical advancements in biopharma. With a focus on personal growth and a diverse work environment, we empower our team members to thrive while making a meaningful impact on global health.
Gsk

Contact Detail:

Gsk Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AIML Software Engineer, Responsible AI in London

✨Tip Number 1

Network like a pro! Reach out to current employees at GSK on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing a role in the Responsible AI team.

✨Tip Number 2

Show off your skills! If you’ve worked on relevant projects, create a portfolio or GitHub repository showcasing your work with AI/ML. This will give you an edge and demonstrate your hands-on experience.

✨Tip Number 3

Prepare for the interview by brushing up on ethical AI principles. GSK values responsible AI, so be ready to discuss how you can contribute to fairness, transparency, and security in your work.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the GSK team.

We think you need these skills to ace AIML Software Engineer, Responsible AI in London

Python Programming
Machine Learning Principles
Deep Learning Frameworks (e.g., PyTorch)
Software Engineering Best Practices
Containerization (Docker)
Continuous Integration and Continuous Deployment (CI/CD)
MLOps
Biomedical Data Analysis (e.g., genomics, transcriptomics, proteomics)
Proactive Communication
Problem-Solving Skills
Collaboration Skills
Ethical Considerations in AI
Research Experience
Interest in Biology or Medicine

Some tips for your application 🫡

Show Your Passion for Responsible AI: When writing your application, let your enthusiasm for responsible AI shine through! Talk about why ethical considerations in AI matter to you and how you can contribute to GSK's mission of improving patient outcomes.

Highlight Relevant Experience: Make sure to showcase any experience you have with machine learning, software engineering, or biomedical data. Use specific examples to demonstrate your skills and how they align with the responsibilities outlined in the job description.

Tailor Your Application: Don’t just send a generic application! Tailor your CV and cover letter to reflect the key qualifications and skills mentioned in the job description. This shows us that you’ve done your homework and are genuinely interested in the role.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and allows us to see your interest in joining our team at GSK!

How to prepare for a job interview at Gsk

✨Know Your Stuff

Make sure you brush up on your knowledge of AI and ML principles, especially in the context of biomedical applications. Be ready to discuss your experience with Python and any deep learning frameworks like PyTorch. GSK is looking for candidates who can demonstrate their technical expertise confidently.

✨Show Your Ethical Side

Since this role focuses on Responsible AI, be prepared to talk about ethical considerations in AI and how they apply to healthcare. Think about examples from your past work or studies where you prioritised fairness, transparency, or security in your projects.

✨Collaboration is Key

GSK values teamwork, so highlight your ability to collaborate with diverse teams. Share specific instances where you worked closely with researchers or engineers, and how you contributed to a successful project. This will show that you can thrive in their collaborative environment.

✨Ask Smart Questions

Prepare thoughtful questions about GSK's approach to Responsible AI and their ongoing projects. This not only shows your interest in the company but also gives you insight into their culture and priorities. It’s a great way to engage with your interviewers and leave a lasting impression.

AIML Software Engineer, Responsible AI in London
Gsk
Location: London
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