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Machine Learning Engineer - AI (Remote)

United Kingdom
$30 – $160/hr
Posted 2 days ago
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Role: Machine Learning Engineer - AI (Remote)

Location: Remote (Work from Anywhere)
Job Type: Contract
Payout: $30 - $160/hour

Role Overview:

We are hiring for one of our clients, seeking a Machine Learning Engineer to design, build, and deploy AI models that drive business decisions. The role involves developing scalable machine learning pipelines and collaborating with cross-functional teams to integrate models into production systems. Responsibilities include optimizing model performance, ensuring data quality, and maintaining model governance.

Key Responsibilities:

  • Design, train, and deploy machine learning models to solve complex business problems.
  • Develop and maintain scalable ML pipelines for end-to-end model lifecycle management.
  • Collaborate with data engineers and software developers to integrate models into production systems.
  • Monitor model performance, troubleshoot issues, and implement improvements.
  • Ensure compliance with data governance and security standards in model development.

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.

P

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

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.

Required Skills & Qualifications:

  • Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch.
  • Experience with data preprocessing, feature engineering, and model evaluation.
  • Knowledge of cloud platforms (e.g., AWS, GCP, or Azure) for ML deployment.
  • Familiarity with MLOps practices and CI/CD pipelines for model deployment.
  • Strong problem-solving skills and ability to work in a fast-paced environment.

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More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to cutting-edge AI solutions that enhance operational efficiency. The contract includes flexibility to work across time zones and access to advanced tools for model development.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

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Skills

Python
Machine Learning
TensorFlow
PyTorch
Data Preprocessing
Feature Engineering
Model Evaluation
Cloud Platforms
AWS
GCP
Azure
MLOps
CI/CD
Problem-Solving
Data Governance
Security Standards

Location

United Kingdom

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