Colibri Digital
Applied AI Engineer

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Department: Services
Location: Remote, UK
Description
As trusted partners of AWS and Databricks, we help organisations design, build and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption — guiding clients from uncertainty to confident, production-grade delivery.
This is a key role in our Engineering practice — the building work that takes AI from concept to production. As an Applied AI Engineer you'll support the design, build and deployment of applied AI systems, learning our tools, patterns and standards as you grow.
The role is remote based in UK with the occasional travel to company events.
Key Responsibilities
- Delivery & impact: Contribute to defined build tasks within a delivery; complete AI features to standard, with support from the team.
- AI & engineering craft: Build fundamentals across the tech stack; apply established patterns and follow engineering standards under review.
- Collaboration: Work effectively within the team; participate in code reviews and technical discussions to improve engineering quality.
- Growth & capability: Learn actively and grow your capability; contribute to internal knowledge sharing as you develop.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills, Knowledge and Expertise
Essential
- Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience developing and deploying machine learning and/or generative AI solutions in production environments.
- Foundations in programming (Python and/or a related language) and a genuine eagerness to learn.
- Understanding of machine learning, predictive analytics, and generative AI concepts.
- Clear communication skills and ability to work effectively in a team environment.
- A collaborative, curious mindset and clear communication.
- Exposure to GenAI/LLMs, RAG, cloud platforms (AWS and/or Databricks), or modern data/ML tooling.


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Benefits
- Remote-first working with flexibility around client needs.
- Private health insurance.
- Opportunity to work on meaningful AI projects across multiple industries.
- A collaborative culture focused on learning, excellence and continuous improvement.
- Competitive salary with clear progression pathways.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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