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Senior AI/ML Engineer

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AI/ML Engineer
Belfast (Flexible/ Hybrid) | Full-time
- Build the AI/ML models that turn billions of pieces of consumer feedback into trustworthy insight
- Work directly on NLP, personalisation and content-quality models at genuine production scale
- Python/cloud stack, with real scope to bring in LLMs and generative AI
- Join a company independently certified as a Great Place to Work in seven countries
About the Company
Since 2005, this business has grown from a single office into a global operation spanning North America, Europe, Asia and Australia, now connecting thousands of brands and retailers with billions of consumers through user-generated content at genuinely massive scale. That scale is exactly why AI and ML sit at the centre of the product, not on the sidelines, and the company's culture has been externally recognised as a Great Place to Work in the US, Australia, India, Lithuania, France, Germany and the UK.
The Role
You'll join a team using machine learning to make sense of an enormous, constantly growing volume of reviews, questions and user-generated content, from spotting low-quality or fraudulent content to powering personalisation and search relevance for shoppers. It's a role with real production exposure: your models won't sit in a notebook, they'll run against live consumer traffic, at a scale most engineers never get to work at.
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.
Key Responsibilities
- Design, train and deploy ML models for content moderation, quality scoring and personalisation
- Apply NLP techniques to extract insight and structure from unstructured consumer content
- Evaluate and integrate LLMs and generative AI where they add genuine product value
- Build and maintain robust MLOps pipelines for training, deployment and monitoring
- Partner with data engineering to ensure models are fed clean, reliable data at scale
- Monitor live model performance and iterate based on real production feedback
- Collaborate with product and engineering teams to translate ML capability into shipped features


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Essential:
- 5+ years building and deploying machine learning models in production environments
- Strong Python skills and experience with ML frameworks such as PyTorch or TensorFlow
- Practical experience with NLP techniques and unstructured text data
- Experience with a public cloud provider (AWS, GCP or Azure) for ML workloads
- Solid understanding of MLOps: model deployment, monitoring and retraining pipelines
- Strong analytical thinking and the ability to communicate ML concepts to non-technical teams
Desirable:
- Hands-on experience with LLMs or generative AI in a production setting
- Experience with recommendation systems or personalisation at scale
Why Apply?
- Hybrid working model based in Belfast
- Genuine production-scale ML, not proof-of-concept work
- Direct exposure to LLMs and generative AI applications
- A company independently certified as a Great Place to Work in seven countries
- A culture that rewards curiosity and staying ahead of emerging AI techniques
“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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