Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal: ask the recruiter.
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No government sponsor record hereNo government sponsor record covers this employer in this country.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
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Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Can’t check pay against the visa rules
- No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
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Before you apply
Sponsorship unknown
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
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About the role
At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people’s lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients’ needs and have the highest probability of success. We’re uniting science, technology, and talent to get ahead of disease together.
Find out more:
Our approach to R&D
Position Summary
GSK's Enterprise AI team builds AI solutions that prove value fast and scale to production. You will lead the Forward Deployed Engineering (FDE) function — the front of the Enterprise AI delivery pipeline that proves AI ideas with the business through PoCs, PoVs, MVPs and, where appropriate, first production versions, before handing proven solutions off to the Solutions Engineer for scale-up. This pattern is proven by AI-native companies such as Anthropic, Palantir and OpenAI, and this role brings that model to GSK.
You will hold direct line management of the FDE team (Staff, Lead, Senior, and Forward Deployed Engineers), setting FDE strategy and engagement priorities, owning Director-level BU sponsor relationships, and representing Enterprise AI on FDE matters to GSK leadership — while continuing to contribute technically at the frontier of AI-augmented engineering, where humans steer and agents execute. Enterprise AI's credibility with the business depends on engineers who can land inside BU problems, prove value quickly, and hand off cleanly; you will build and lead the function that makes this happen.
Responsibilities
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
• Lead the Forward Deployed Engineering function — strategy, structure, hiring, development, and standards for the function.
• Hire, mentor, and develop the FDE team — creating development paths from G8 through to G5.
• Set the standards for AI-native engineering practice within the function — agent workflows, prompt and pattern libraries, handoff hygiene.
• Own relationships with Director and Senior Director-level BU sponsors across business units that bring AI use cases to Enterprise AI.
• Take on the most strategic FDE engagements personally — the ones that set precedents for the function.
• Make and defend portfolio-level kill/continue decisions across FDE engagements with BU and Enterprise AI leadership.
• Coordinate with the Solutions Engineering and Operations Engineering functions on the delivery pipeline; represent FDE in Enterprise AI leadership forums.
• Influence vendor strategy and tooling choices for AI-native engineering practice within Enterprise AI.
• Ensure the FDE function operates within Code Orange, Responsible AI, and Accountability Report governance from the prototype stage onward.
• Provide regular reporting to Enterprise AI leadership on FDE function performance — engagement pipeline, outcomes, team development, and capacity.
Why You?
Basic Qualification
We are seeking professionals with the following required skills and qualifications to help us achieve our goals
• PhD or master’s degree in computer science, Software Engineering, or equivalent practical experience.
• 12 or more years of experience in software engineering and AI/ML engineering, with significant time leading senior engineering teams or functions.
• Demonstrated experience taking AI ideas from sketch to working software at speed, in customer-facing engineering roles.
• Strong tech
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