Oltricx (formerly PalmPro)
Expression of Interest - Founding ML Engineer

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Company Description
Oltricx is an early stage Biotech company developing novel enzymes using artificial intelligence for vegetable oil extraction mills, enabling them to extract more oil from their existing process. This approach supports a lower carbon footprint by reducing waste and improving resource utilisation. Our mission is to make crude vegetable oil production more efficient and sustainable, starting with palm oil and expanding across global vegetable oil markets.
About The Role
As we move to the next stage of growth, we are opening an expression of interest for an ML Engineer to join Oltricx. We are building a machine platform that uses generative protein design with real-world industrial process modelling to screen for novel enzyme variants. To develop this further, we are looking for a strong ML engineer to join our team. You will be supporting the build and evaluation of the core machine learning components.
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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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.
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What You Will Be Doing
- Building ML models for a novel industrial application
- End-to-end model development: data engineering, training, evaluation, and iteration
- Developing and benchmarking predictive models against published baselines
- Building reproducible, well-documented ML pipelines
- Contributing to MLOps infrastructure covering experiment tracking, model registry, and version control
Requirements
- MSc + or equivalent experience in Machine Learning, Computer Science, or a related quantitative field
- Strong Python engineering skills with experience in PyTorch
- Demonstrable experience building and deploying ML models end-to-end
- Solid understanding of model evaluation, benchmarking, and experimental design
- Experience with cloud-based compute environments
- Strong engineering fundamentals: clean code, version control, reproducibility


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Nice to Have
- Comfortable with sequence-based or biological data
- Experience in an early-stage startup or research environment
- Interest in sustainability, food systems, or industrial biotechnology
What We Offer
- Equity in an early-stage deep tech company as part of the founding team
- Flexible working - can be fully remote
- Competitive salary depending on experience
- 30 days annual leave
- Opportunity to represent the company at national and international opportunities
- A technically ambitious problem at the frontier of AI and engineering biology
- A small team where your work has direct and visible impact
How to Apply
Send your CV with a link to your GitHub portfolio to admin@oltricx.com.
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