Harnham
ML Engineer

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Machine Learning Engineer
London | Outside IR35
£500-£600 per day
The Company
They are a well-established retail business investing heavily in their data and AI capabilities. Data plays a central role in shaping strategy across the organisation, with a strong focus on delivering measurable business outcomes through technology. You will join a collaborative team working on impactful machine learning projects within a modern cloud environment.
The Role and Deliverables
- Design, build, and deploy machine learning models into production environments.
- Develop scalable ML pipelines to support model training, testing, and monitoring.
- Collaborate with Data Scientists and Data Engineers to operationalise machine learning solutions.
- Optimise model performance, reliability, and scalability across retail use cases.
- Support the development of MLOps processes and machine learning infrastructure.
- Deliver production-ready solutions that provide measurable business impact.
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.
Start with a chat, not a search bar
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.
Your Skills & Experience
- Strong experience deploying machine learning models into production.
- Advanced Python skills and experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
- Experience building and maintaining MLOps pipelines and CI/CD workflows.
- Strong knowledge of AWS, Azure, or GCP.
- Experience with Docker and Kubernetes.
- Strong SQL skills and experience working with large datasets.
- Ability to communicate effectively with both technical and non-technical stakeholders.


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How to Apply
If you are an experienced Machine Learning Engineer looking for a contract opportunity within a retail environment, please apply with your latest CV for further discussion.
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