Orbis Group
Senior AI/ML Modelling Engineer

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Senior AI/ML Modelling Engineer
Remote (UK/Europe) | Contract
We're partnering with a well-funded technology business building a next-generation AI platform focused on solving complex financial decision-making problems. This is not a traditional software engineering or data science role. We're looking for someone who combines exceptional machine learning expertise with a strong quantitative mindset and an understanding of how financial decisions are made.
You'll work on designing intelligent modelling systems that help evaluate opportunities, assess risk, and improve decision-making using modern machine learning and generative AI techniques.
What You’ll Be Doing
- Designing and deploying production-grade machine learning models using regression, classification and gradient boosting techniques
- Building LLM-powered and agentic AI workflows using modern frameworks such as LangChain, LangGraph, AutoGen, or similar
- Developing end-to-end AI systems from data ingestion through to decision support
- Applying AI and machine learning to complex financial and investment problems
- Working with structured and unstructured datasets where data quality is often imperfect and limited
- Building explainable models that support transparent, defensible decision-making
- Collaborating with technical and domain specialists to translate complex business challenges into scalable AI solutions
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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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.
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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.
What We’re Looking For
Core Requirements
- Exceptional machine learning fundamentals and strong commercial experience building production ML systems
- Hands-on experience with LLMs, transformer models, and agentic AI frameworks
- Strong Python development skills
- Experience building end-to-end AI platforms rather than isolated models
- Excellent product thinking and the ability to solve ambiguous problems


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Highly Desirable
- Experience within private credit, private markets, lending, investment management, or quantitative finance
- Understanding of concepts such as EBITDA, cash flow analysis, underwriting, portfolio construction, or credit assessment
- Experience building predictive models for financial decision-making, risk assessment, pricing, or scoring
- Ability to work with sparse, messy, or low-volume datasets where model interpretability is essential
- Experience communicating model outputs to non-technical stakeholders and balancing predictive performance with explainability
The Opportunity
- Greenfield AI platform with significant technical ownership
- Complex modelling challenges with real commercial impact
- Small, high-calibre engineering team
- Long-term contract
- Remote across the UK and Europe
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