CSI GLOBAL LTD
Machine Learning Engineer

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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.
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.
Professional Experience/Qualifications:


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Your very own career expert that helps elevate your application to the next level.
- (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.
“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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