Infoplus Technologies UK Limited
Azure MLOPs Engineer

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Role: Azure MLOps Engineer
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.
Location: Wokingham, UK


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Duration: Contract
Job Description:
Your responsibilities:
- 5+ years of experience in MLOps, DevOps or a related field.
- Strong understanding of machine learning principles and model lifecycle management.
- Passionate about making things work iteratively and automating + scaling them.
- Deep knowledge of software development and engineering in combination with ML models.
- Experience in development Azure Machine Learning or any MLOps frameworks.
- Experience with SQL and NoSQL environments, Azure SQL database and Storage Account – blob is a must.
- Proficiency in programming languages such as Python, with hands-on experience in machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
- Experience with cloud platforms Azure machine learning services.
- Experience with monitoring tools and practices for model performance in production.
- Practical ability in creating build and release pipelines in Azure DevOps for ML artifacts.
- Experience in supporting real-time-inference scenarios with Azure Machine Learning.
- Knowledge of tools, methods, and frameworks used by data scientists.
- Familiarity with data engineering practices and tools.
- Familiarity with data formats such as GRIB, NETCDF, Parquet, and JSON is a plus.
- Azure data scientist associate certificate is a plus.
“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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