All active MLOps roles based in Dubai.
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About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
We are seeking a customer-obsessed Solutions Architect to lead technical engagement with Nebius customers across the UAE and the broader region. This role is focused on presales excellence, strong technical storytelling, and driving adoption of Nebius AI Cloud across a wide range of industry segments.
As a Solutions Architect, you will act as a trusted technical partner to customers, helping them understand, evaluate, and adopt Nebius for their AI/ML and high-performance computing workloads. You will combine deep technical expertise with strong communication skills to clearly articulate Nebius’ value proposition and differentiate our platform in a competitive market.
You’re welcome to work remotely from the UAE.
Your responsibilities will include:
We expect you to have:
It will be an added bonus if you have:
Benefits & Perks:
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Ready to apply?
Apply to Nebius
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We’re proud to be Saudi’s first FinTech unicorn.
Our mission is to help people own their dreams by building the most customer-centric financial super app in the world. & There is no playbook for that; our Tamarians are writing it. Our teams are made up of innovators, problem-solvers, and learners we thrive on curiosity and collaboration.
If this sounds like you: curious, driven, and ready to build, we’d love to meet you
Apply now and join the next generation of Builders!
About Tamara's Builders Program
At Tamara, we believe exceptional talent deserves an exceptional launchpad.
Our Flagship Builders Program is designed for ambitious graduates ready to step into real responsibility from day one. This isn’t a rotational “observer” program, it’s a career accelerator built for those who want to build, own, and raise the bar early.
Designed for recent graduates and early-career talent with up to two years of experience, the program places you directly into high-impact roles across Product, Engineering, Design, and beyond. You’ll contribute immediately and grow at an accelerated pace.
From Product to Engineering, Design to Commercial, you’ll tackle meaningful challenges that shape how millions experience fintech across the region. You’ll be trusted with ownership, surrounded by high-caliber peers, and mentored by leaders who expect excellence.
Our January and June cohorts are your opportunity to move fast, think big, and start building what’s next - not someday, but now.
About the role
We’re looking for a fresh graduate or early-career Associate Data Scientist on a builder path.
This role blends product thinking, applied statistics, and production-minded analytics. You will:
With the advancement of AI, we value people who have strong fundamentals and clear thinking. Understanding data generation, measurement, tradeoffs, and how to validate results matters more than memorizing tools. You'll learn how to use AI responsibly to move faster, while still owning correctness, robustness, and interpretation.
Your responsibilities
Your expertise (must have)
Nice to have
What success looks like
Ready to apply?
Apply to Tamara
About Us
Tamara is the leading fintech platform in Saudi Arabia and the wider GCC region with a mission to help people make their dreams come true by building the most customer-centric financial super-app on earth. The company serves millions of users in the region and partners with leading global and regional brands such as SHEIN, Jarir, noon, IKEA and Amazon, as well as small and medium businesses.
Tamara is Saudi Arabia’s first fintech unicorn and is backed by Sanabil Investments, a wholly owned company by the Public Investment Fund (PIF), SNB Capital, Checkout.com, amongst others. The company operates from its headquarters in Riyadh, with additional regional and global support offices.
Your Role
We are looking for a Senior Machine Learning Engineer (MLE) to join our Risk Data Science team. You will play a key role in designing, building, deploying, and scaling ML models that drive credit risk, fraud prevention, behavioral scoring, and other risk-related decision systems across our business.
You will work closely with data scientists, risk analysts, and engineering teams to transform research prototypes into high-performance, production-grade solutions that operate at scale in real-time decisioning environments.
Your Responsibilities
Model Deployment & Scaling
MLOps & Infrastructure
Model Monitoring & Maintenance
Collaboration with Risk DS
System Design & Integration
Your Expertise
All qualified individuals are encouraged to apply.
Ready to apply?
Apply to Tamara
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack — empowering organizations to run AI across multi-vendor environments with centralized governance.
The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
In this role, you'll help the team:
Co-develop production-level data science projects with our customers
Analyse and investigate various kinds of data and machine learning applications across industries and use cases
Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
Provide data science expertise both to customers and internally to Dataiku’s sales and marketing teams
Develop custom Python-based “plugins” in collaboration with Solutions, R&D, and Product teams, to enhance Dataiku’s functionality
You might be a good fit for the role if you have:
Curiosity and a desire to learn new topics and skills
Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku’s customers, and the general public
The ability to clearly explain complex topics to technical as well as non-technical audiences
2 - 10 years of experience with Python and SQL
2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
Familiarity with data visualisation in Python and R
Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
Technical skills that may help you in the role:
Experience with Consulting and/or Customer-facing Data Science roles
Experience with Data Engineering or MLOps
Experience developing WebApps in JavaScript, RShiny, or Dash
Experience building APIs
Experience using enterprise data science tools
Passion for teaching or public speaking
#LI-AS2
Ready to apply?
Apply to Dataiku
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We are seeking a highly motivated and skilled Quantitative Trader to manage and optimize an algorithmic, delta-neutral strategies portfolio. You will be responsible for managing backtest schedules, allocating capital to existing strategies, and automating processes to ensure efficiency. This role is highly technical and requires a strong analytical mindset, focus, and the ability to take ownership of tasks in a fast-paced environment.
⚠️ IMPORTANT: We consider only candidates with proven live-trading experience and a documented strategy performance record that meets the following criteria::
Asset Classes: Spot, Perpetual Swaps, and Dated Futures. (Note: Options-based strategies are not currently under consideration).
Strategy Types:
HFT: Classic market-making, microstructure models, and ML-driven approaches.
MFT: Directional ML models or portfolio-based strategies (e.g., Statistical Arbitrage, Beta-Neutral models).
Performance Metrics:
Sharpe Ratio: 3.0+
Daily Capital Turnover: 3.0+
Target APY (Post-Leverage):
High-Capacity MFT: 30%+
Low-Capacity HFT: 100%+
We are committed to creating an environment where talented traders can thrive. We provide the tools, support, and financial incentives necessary for success.
Competitive PnL Share We offer an above-market payout structure designed to generously reward strong performance. We believe that you should earn a significant share of the profits you generate, and our terms are both flexible and negotiable for top-performing strategies.
Path to Leadership For high-impact contributors, we offer a clear path to leadership roles within our growing quant division. This is a unique opportunity for those interested in not just trading, but also in building and leading a world-class team.
Autonomy & Support We empower you to focus on what you do best—trading. You will have full ownership of your strategy and research without rigid top-down bureaucracy. Our role is to provide the capital, infrastructure, and collaborative support you need to succeed.
Tier-1 Trading Infrastructure Gain a competitive edge with access to our top-tier technology stack, built for performance and scale. This includes low-latency infrastructure, direct market access (DMA) to major exchanges, and dedicated engineering resources.
Collaborative & Flat Structure We foster a non-siloed environment with direct access to senior traders, engineers, and leadership. This open communication culture accelerates development, encourages knowledge sharing, and helps solve complex problems faster.
Relocation to Dubai For successful candidates interested in joining our main office, we provide a comprehensive relocation package to facilitate a smooth transition to Dubai for you and your family.
Technical Requirements & Expectations:
Ideal Candidate Profile:
Additional details:
– This role reports directly to the Managing Partner/Head of Trading, offering tremendous growth opportunities.
– Rust knowledge is a strong plus.
– Expertise in applying AI tools to finance is an edge
– Preference for candidates in the Dubai timezone, with an even stronger preference for those based in Dubai.
– Good English is a plus, but day-to-day most team members speak Russian
Ready to apply?
Apply to Marvel CapitalCookies & analytics
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