Feedback on Application document strength

Stage 1
1

Hello everyone,

I’m preparing to submit my application for the UK Global Talent Visa under the Exceptional Promise (Digital Technology – Machine Learning) route, and I would really appreciate feedback on the strength and structure of my evidence.

I am a Machine Learning Engineer currently working in the UK, with around 4 years of experience in applied AI and data-driven systems.

Recommendation Letters (3)

  1. CEO of my first company (where I began my career and progressed from trainee level)
  2. CEO of my second company (where I worked on applied ML systems and product development)
  3. My MSc supervisor (academic reference supporting my research and technical potential)

Mandatory Criteria Evidence

  1. Founder of a product-led startup accepted into Microsoft for Startups, receiving approximately £90,000 in Azure cloud credits to support AI product development.
  2. Data science competition profile (Kaggle), where I achieved a top 20 leaderboard ranking and maintained consistent participation over several years.

Optional Criteria Evidence

  1. Open-source and public machine learning contributions (code and technical write-ups).
  2. Employment and salary progression within UK digital technology companies (currently earning ~£70,000 per year), demonstrating increasing responsibility and market validation.
  3. Technical presentation/work completed at a deep-tech company, showing significant engineering contribution.
  4. Supporting documentation related to projects delivered within product-led companies.

I would really appreciate feedback on:

  • Whether the Mandatory evidence is strong enough for Exceptional Promise
  • Whether the Optional evidence is well balanced
  • If anything seems weak, redundant, or risky
  • Any structural adjustments you would recommend before submission

Thank you in advance, I really value the insight of this community. @Raphael

2

Hi @allaye

As a Machine Learning Engineer with around four years of experience, you’re eligible for the Exceptional Promise pathway. However, is this your first role in tech? If not, you need to check whether your total experience has already exceeded the less than 5 years requirement for Promise.

Recommendation Letters

Letters from the CEOs of your first and second companies are fine. Your MSc supervisor, however, is most likely an academic, and academics are not automatically considered experts in the digital technology sector. You’ll need to confirm whether he actually qualifies.

Mandatory Criteria

Acceptance into Microsoft for Startups can support your narrative, but it does not really show that you personally have been recognised as a potential leader in the sector within the last five years.

Your Kaggle profile, did you win anything? If you weren’t one of the winners, then a top 20 leaderboard ranking maintained over time is weak to count as recognition of your expertise.

Optional Criteria

Your open‑source and public ML contributions can work, but you need to show adoption, downloads, stars, forks, commits, etc. And it must be on a reputable platform like GitHub or GitLab.

Salary can support MC, but it is not strong on its own. You still need to show how you’ve contributed to the sector.

A technical presentation and supporting documentation won’t demonstrate:

  • innovation (OC1)
  • contribution outside your job (OC2)
  • contribution to a product‑led company (OC3)
  • academic contribution (OC4)

So these doesn’t fit any OC criterion.

Your Questions

Is the Mandatory evidence strong enough for Promise? No, it’s weak at the moment.

Is the Optional evidence well balanced? No, you haven’t actually mapped them to the OCs, and even then, most of them don’t align correctly.

Is anything weak, redundant, or risky? Yes, right now, you don’t have enough strong evidence.

Any structural adjustments? Yes, you need to properly categorise you OC evidence under two Optional Criteria. There are four OCs, and you must choose only two:

MC – Show you’ve been recognised as a potential leader in the last 5 years
OC1 – Show a proven track record of innovation
OC2 – Show recognition for work outside your immediate occupation
OC3 – Show significant technical, commercial, or entrepreneurial contributions to a product led company.
OC4 – Show exceptional ability through academic research

At the moment, most of your OC evidence doesn’t align strongly with any of these. And you need 10 unique evidence sets across the criteria and at least two unique evidence in each sets.

I strongly recommend reading the Tech Nation guidance again and going through relevant posts on this forum. It will help you understand what counts as strong evidence and how to structure your application properly.

All the best.