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CSI GLOBAL LTD

Machine Learning Engineer

England
Posted about 18 hours ago
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Role: Machine Learning Engineer

Location: Abu Dhabi

Note: Looking for candidates from the United Kingdom & Europe. Candidates ready to travel to Abu Dhabi-Dubai are encouraged to apply.


Job Description:

  • Designs and develops scalable machine learning models and AI-driven solutions to address complex business challenges and enhance decision-making processes.

Key Responsibilities:

  • Work with large and complex data sets to solve challenging business problems.
  • Efficient training and deployment of standard ML, NN, and Agentic models.
  • Develop, train, and optimize machine learning models using state-of-the-art algorithms and frameworks.
  • Build production grade end-to-end ML pipelines, including data ingestion, transformation, model training, validation, and deployment.
  • Automate workflows for model training, testing, and deployment using CI/CD pipelines and MLOps tools.
  • Collaborate with cross-functional teams to integrate models into applications and deliver end-to-end solutions.
  • Finetune SLMs/LLMs and build complex AI architectures.

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.

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

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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.

Professional Experience/Qualifications:

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  • (3-7) years of experience in building production grade, scalable AI systems.
  • Expert in supervised/unsupervised learning, deep learning, NLP, computer vision, or generative AI (e.g., LLMs).
  • Strong ML system architecture skills.
  • Understanding of model serving, API development (FastAPI, Flask), and optimizing model performance for real-time or batch inference.
  • General knowledge of Docker, Kubernetes, CI/CD pipelines, and tools like MLflow/Kubeflow for model lifecycle management (MLOps).
  • Comfortable with deploying models on AWS or Azure.
  • Minimum Educational qualifications: Bachelor’s degree in Computer Science, Engineering, or related field required.
  • Preferred Education qualifications: Master or PhD in Computer Science or a related field.
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Skills

Machine Learning
Artificial Intelligence
Deep Learning
Natural Language Processing
Computer Vision
Generative AI
LLMs
MLOps
CI/CD
Docker
Kubernetes
AWS
Azure
FastAPI
Flask
ML Pipelines

Location

England, United Kingdom

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