OCCER
Machine Learning Engineer

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Occer Ltd | Remote | Independent Contractor
Occer is an early-stage AI SaaS company building a business performance platform for SMEs. Our platform uses business data to measure KPIs, forecast outcomes, identify opportunities and provide actionable insights.
We are looking for an ML/AI Engineer to help build the core analytical systems behind the platform.
Responsibilities
- Develop KPI and business analytics systems
- Build forecasting and predictive models
- Develop propensity scoring and anomaly detection models
- Work with structured business datasets
- Build and integrate ML APIs with the main application
- Help integrate LLM-based functionality where appropriate
- Work closely with our Full-Stack Engineer to develop the product
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.
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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.
Requirements
- Strong Python skills
- Understanding of machine learning and predictive modelling
- Experience with libraries such as scikit-learn, Pandas, NumPy or XGBoost
- Understanding of model evaluation and validation
- Ability to build practical ML solutions
- Strong problem-solving and independent working skills
Final-year students, recent graduates and early-career candidates with strong ML/AI projects are encouraged to apply.


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Compensation
This is an independent contractor opportunity with a revenue-contingent compensation structure rather than a conventional salaried position.
Compensation will be based on a pre-agreed formula tied to qualifying revenue generated by Occer, with full terms provided in the contractor agreement. There is no guaranteed fixed salary under the initial arrangement.
Successful contributors may have the opportunity to transition into permanent paid positions as Occer reaches sustainable recurring revenue
“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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