Artificial Intelligence Engineer

Pear Talent - Finance Recruitment

Abu Dhabi Emirate, UAE

Fulltime

Entry

2 months ago

engineeringdesignproject managementmaintenancequality controltechnical

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Artificial Intelligence (Ai) Engineer

**Essential: Relevant Degree + 3-5yrs AI/ML, Quant Research or Data Science + Financial markets/Investment analytics**
**£70,000 - £100,000 + 60% Bonus + Package**
**Location: Abu Dhabi, UAE (relocation & visa supported)**
Pear Talent is representing an international hedge fund, who are expanding their
team in the UAE that build AI-driven tools used directly by portfolio managers and investment teams.
As an

Ai Engineer

you'll be a key member of a group of software engineers, quants, and data scientists that partner with investment professionals to build and scale bespoke front-office technology solutions across asset classes.
Their remit spans data analytics, investment management and augmentation platforms, and cross-asset tooling with production-quality reliability.
***Key accountabilities:***
This is a hands-on AI engineering opportunity focused on developing analytics, ML models, and scalable data pipelines that support investment decision-making, risk analysis, and portfolio monitoring.
The role spans Python-based modeling, Spark/Databricks pipelines, and building production-grade tools such as dashboards, APIs, and ML workflows that enable investment teams to generate insights and run scenarios independently.
This team operates at the intersection of engineering and investing — partnering closely with PMs, quants, and data engineering to design and deploy practical AI solutions rather than purely experimental research.
***Required experience:***
**Degree in a technical/quantitative discipline**
(e.g., Data Science, Computer Science, Mathematics, Statistics, Financial Engineering, or related field)
**3-5 years or more**
of experience in
quantitative research, data science, or AI/ML-focused
team ideally within
financial markets or investment analytics.
Experience in
at least one asset class
, with a practical
understanding of how
data and models drive investment decisions.
**Strong proficiency in Python for analytics and modeling**
(Pandas, NumPy, scikit-learn, matplotlib, plotly, Jupyter); ability to prototype, test, and deploy end-to-end ML workflows.
Good understanding of
machine learning theory and applied techniques
Hands-on familiarity with
modern AI technologies
and research
**Working knowledge of the data ecosystem**
(Spark, Databricks, or equivalent) focused on leveraging these for ML pipeline orchestration rather than pure ETL.
**Comfort with relational databases and SQL**
**Strong communication skills**
— able to explain AI concepts clearly to non-technical stakeholders and collaborate effectively across investment, data, and technology teams.
**Curious, collaborative, and experimental mindset**
, eager to explore new AI capabilities and translate them into tangible business and investment value.
*If this isn’t for you but you know someone who’d be interested, then why not confidentially recommend them by clicking here http://peartalent.co.uk/spread-the-word/.
We have a fantastic referral scheme up to £1,000*.*

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