AIML Operations Engineer

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. We are also developing AI solutions that increase operational efficiency, productivity and business processes for GSK’s people. Our Economics, Ethics and Policy organisation consists of philosophers, mathematicians and engineers working on two distinct fields: AI safety and the ethical and public policy implications of using AI systems in drug discovery and clinical applications on the one hand, and developing systems that seek to dynamically optimise the mix of assets in GSK’s multi-billion-pound R&D portfolio on the other.

The focus of the Operations Engineer role will be to proactively provide operational support to the Economics, Ethics and Policy organisation. You will be reporting to the organisation’s Product Manager. We are looking for someone who combines organisational intelligence with a practical, business-oriented mindset to help the team run smoothly and efficiently.

In this role you will

Coordinate and support operational activities across the Economics, Ethics and Policy organisation, helping ensure clear ownership, timelines and effective cross-functional collaboration across AIML and the wider organisation.

Develop, implement and continuously improve processes and systems to support the team’s work, proactively identifying gaps or inefficiencies and working with stakeholders to design practical solutions — including the use of agent-enabled automation where appropriate.

Provide structured analysis and operational support to leadership where needed, and help maintain end-to-end oversight of core governance standards to ensure consistency, transparency and compliance with internal requirements.

Manage day-to-day operational aspects of external partnerships and vendor relationships, including contract renewals, licensing, CDAs, studentship agreements and associated financial processes.

Establish and maintain clear documentation, meeting structures and reporting processes to support transparency and effective coordination across the organisation.

Support recruitment and onboarding activities in coordination with relevant internal teams.

Why you?

Qualifications & Skills:

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

Bachelor’s degree or equivalent relevant work experience.

History of strong academic performance or measurable impact in the workplace.

Professional experience in operations, project management, or a similar coordination role within a complex organisation.

Strong written and verbal communication skills.

Ability to work effectively with engineers, data scientists and researchers, and to translate technical topics into clear, practical actions.

Ability to manage multiple priorities and operate effectively in environments with ambiguity.

Demonstrated experience working across teams and functions to deliver outcomes.

Strong organisational skills and attention to detail.

Preferred Qualifications & Skills:

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

Master’s degree or advanced degree in a relevant field.

Background in a STEM discipline or experience working closely with technical teams.

Interest in responsible AI, AI governance or related policy topics; or fintech.

Experience in healthcare, life sciences, health data, or technology environments.

Familiarity with coding, data analysis or machine learning concepts (e.g. experience with using coding agents, vibe coding, etc.).

Closing Date for Applications: Monday 23rd March 2026 (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.