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Infoplus Technologies UK Limited

Azure MLOPs Engineer

Wokingham
Posted about 17 hours ago
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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.

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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.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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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Strong

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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.
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Skills

MLOps
Azure Machine Learning
Python
Azure DevOps
TensorFlow
PyTorch
Scikit-learn
SQL
NoSQL
Azure SQL Database
Azure Blob Storage
Model Lifecycle Management
CI/CD Pipelines
Real-time Inference
Data Engineering

Location

Wokingham, England, United Kingdom

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