AIML Software Engineer, Responsible AI in London

AIML Software Engineer, Responsible AI in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
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.
  • Other info: Collaborative culture with opportunities for diverse perspectives and continuous learning.
  • 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.

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

GSK is an exceptional employer located in Greater London, offering a dynamic and inclusive work environment that fosters innovation and collaboration. As a Senior FinOps Product Manager, you will have the opportunity to drive impactful projects while benefiting from robust employee growth opportunities and a culture that values diverse perspectives. With a commitment to professional development and a focus on agile methodologies, GSK empowers its employees to thrive in their careers while contributing to meaningful advancements in cloud financial management.

Gsk

Contact Details:

Gsk Recruitment Team

StudySmarter Expert Advice🤫

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

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Gsk or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Gsk.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Gsk.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Gsk that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

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

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Gsk.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Gsk and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Gsk

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Gsk uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.