ML Engineer Jobs in Riyadh.
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Senior Quantum Field Engineer - Middle East
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About IonQ:
IonQ, Inc. [NYSE: IONQ] is the world’s leading quantum platform and merchant supplier - delivering integrated quantum solutions across computing, networking, sensing, and security. IonQ’s newest generation of quantum computers, the IonQ Tempo, is the latest in a line of cutting-edge systems that have been helping customers and partners including Amazon Web Services, and AstraZeneca achieve 20x performance results and accelerate innovation in drug discovery, materials science, financial modeling, logistics, cybersecurity, and defense. In 2025, the company achieved 99.99% two-qubit gate fidelity, setting a world record in quantum computing performance.
Headquartered in College Park, Maryland, IonQ has operations in California, Colorado, Massachusetts, Tennessee, Washington, Italy, South Korea, Sweden, Switzerland, Canada, and the United Kingdom. Our quantum computing services are available through all major cloud providers, while we also meet the needs of networking and sensing customers across land, sea, air, and space. IonQ is making quantum platforms more accessible and impactful than ever before.
We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact.
Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications.
Responsibilities:
- Inspire prospective clients by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications.
- Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain.
- This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team.
- Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products.
- Navigate competitive objection handling
- Translate business needs expressed by our clients into technical work projects in collaboration with other team members.
- Create assets to explain features of our quantum applications and other IonQ quantum products.
- Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows.
- Lead client discovery sessions for business oriented use cases that uncover potential overlap with development of useful quantum algorithms together with the IonQ Application team
- Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large.
- Attend industry conferences, as needed, to talk to client and support our booth activities.
- Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities.
- This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first.
You’d be a good fit with:
- 5 years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer facings skills are critical.
- Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering
- Motivated learner with a strong interest in quantum computing.
You’d be a great fit with:
- Masters or PhD in a STEM field, perhaps adjacent to quantum computing.
- Time on the customer side in various verticals included leadership roles - this provides customer empathy
- Hands-on experience with Qiskit, Cirq or other quantum computing SDK.
- Proficient in Python and Jupyter Notebooks.
- Expert architecture skills across various technologies (“full stack skills”)
- Experience leading technical events.
Location: This role is based in Saudi Arabia or Dubai, UAE, and requires candidates to be locally based in one of these locations.
Travel: 20% travel domestically and globally
Job ID: 1374
Compensation will vary based on individual factors such as education, qualifications, and experience of the final candidate(s), specific office location, and calibration against relevant market data and internal team equity. Posted base salary figures are subject to change as new market data becomes available. Our benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, and a home technology stipend. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment.
At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued.
We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer.
US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law.
If you are interested in being a part of our team and mission, we encourage you to apply!
Ready to apply?
Apply to IonQ
Why Tamara?
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 AI Engineer on a builder track.
This role sits between software engineering and applied AI. You will build AI-powered features end-to-end: from turning a product problem into an AI approach, to building pipelines and evaluation, to shipping reliable services in production.
You’ll work with both classical ML and generative AI (LLMs, RAG, agents) where they make sense. With the rapid pace of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, privacy, safety, and user impact.
Your responsibilities
- Build AI products that ship
- Design and implement AI-powered features and internal tools.
- Integrate models into real systems (APIs, workflows, dashboards, and operational processes).
- Work with LLMs in a production-ready way
- Build retrieval-augmented generation (RAG) pipelines: data sourcing, chunking, embeddings, retrieval, and prompt templates.
- Build agent-style workflows when needed (tool use, guardrails, and deterministic fallbacks).
- Own evaluation and quality
- Define what “good” means: success metrics, offline tests, and human-in-the-loop review.
- Set up evaluations for quality, safety, latency, and cost.
- Make AI reliable and safe
- Add observability: logging, tracing, and monitoring for quality regressions.
- Implement privacy and security controls (PII handling, access control, redaction where needed).
- Participate in incident response and postmortems when AI systems misbehave.
- Partner across teams
- Work with product, data, design, and engineering stakeholders to translate messy problems into measurable solutions.
- Collaborate with platform teams to use existing data pipelines, event streams, and AI tooling responsibly.
- Use AI tools thoughtfully
- Use AI assistants for prototyping, debugging, and documentation.
- Validate outputs, document assumptions, and protect sensitive data.
Your expertise (must have)
- Fresh graduate or < 1 year of relevant experience (internships and projects count).
- Solid programming fundamentals in Python (preferred) or another language used for backend services.
- Strong foundations in:
- Software engineering basics (APIs, testing, reliability)
- Data handling (SQL and/or dataframes)
- ML/AI fundamentals (training vs. inference, evaluation, overfitting intuition)
- Clear communication and a collaborative approach.
Nice to have
- Hands-on experience with LLMs and/or RAG from projects (LangChain/LlamaIndex or similar patterns).
- Familiarity with model serving and deployment (REST/gRPC services, batch jobs, streaming consumers).
- Exposure to MLOps concepts (experiment tracking, model registry, monitoring).
- Familiarity with vector databases, search, or information retrieval.
- Understanding of responsible AI, privacy, and security (PII handling, access control, prompt injection awareness).
- Experience using AI assistants responsibly for coding and analysis.
What success looks like
- You ship at least one AI feature or internal tool that is used by real users.
- You set up a simple evaluation and monitoring loop so the system improves over time.
- Your solutions balance quality, latency, and cost, with clear tradeoffs.
- When the AI output is wrong or risky, you can debug, mitigate, and explain why.
All qualified individuals are encouraged to apply.
Ready to apply?
Apply to Tamara
Why Tamara?
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 the 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 Machine Learning Engineer on a builder track.
This role is for someone who wants to take ML from “cool idea” to “running in production”. You will work across data, modeling, and software engineering to build, deploy, and operate models that improve customer experience, reduce risk, and unlock operational efficiency.
With the advancement of AI, we care more about fundamentals than buzzwords. Use AI assistants to move faster, but always own correctness, safety, privacy, and performance.
Your responsibilities
- Build and ship ML systems
- Develop and deploy ML models and services that solve real business problems.
- Write production-quality code, tests, and documentation.
- Own the full model lifecycle
- Help with data understanding, feature creation, training, evaluation, and iteration.
- Set up offline and online evaluation, and monitor performance after release.
- Make ML reliable in production
- Improve model serving reliability, latency, and cost.
- Implement monitoring for data drift, model drift, and key quality metrics.
- Participate in incident response and postmortems when needed.
- Work with data and platform teams
- Partner with data engineers and platform engineers on pipelines, event-driven signals, and data quality.
- Use event streaming patterns when appropriate (near-real-time features, online scoring, CDC signals).
- Build tools that help others move faster
- Contribute to reusable training and serving components (templates, libraries, CI/CD, feature pipelines).
- Help enable safe self-serve ML and AI usage across teams.
- Use AI tools thoughtfully
- Use AI to accelerate prototyping, debugging, documentation, and test generation.
- Validate outputs, document assumptions, and protect sensitive data.
Your expertise (must have)
- Fresh graduate or < 1 year of relevant experience (internships and projects count).
- Solid programming fundamentals in Python (preferred) or another language used for ML systems.
- Strong fundamentals in:
- Data structures and algorithms (enough to write efficient, reliable code)
- Probability and statistics basics
- ML fundamentals (supervised learning, overfitting, validation, metrics)
- Comfort working with data using SQL and/or Python.
- A problem-solving mindset and curiosity to learn quickly.
- Clear communication and a collaborative approach.
Nice to have
- Experience with common ML libraries (scikit-learn, PyTorch, TensorFlow) through coursework or projects.
- Familiarity with model deployment patterns (APIs, batch scoring, streaming/online scoring).
- Exposure to MLOps concepts (experiment tracking, model registry, CI/CD, monitoring).
- Familiarity with cloud (GCP/AWS) and containers (Docker) is a plus.
- Understanding of responsible AI and privacy (PII handling, access control, evaluation).
- Experience using AI assistants responsibly for coding and analysis.
What success looks like
- You ship at least one end-to-end ML improvement (model, feature, or service) that runs reliably.
- You can explain model performance clearly: what improved, what did not, and why.
- Monitoring is in place for your models, and you react quickly when metrics drift.
- You reduce manual effort for the team by adding a reusable component, template, or automation.
Ready to apply?
Apply to Tamara
Who Are We
HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. HALA aims at empowering SMEs to start, run, and grow their businesses by providing them with cutting-edge financial and technological tools.
HALA currently holds multiple entities in UAE, Saudi Arabia and Egypt (including HALA Payments and HALA Logistics) and offers solutions that enable merchants to digitize their payments as well as manage their sales and operations.
Founded in 2017, HALA is currently licensed by the Saudi Arabian Central Bank.
Key Responsibilities
- Develop and deploy AI, machine learning, and generative AI solutions.
- Build AI-powered tools such as chatbots, copilots, and workflow automation.
- Prepare and process data for model training, testing, and deployment.
- Integrate AI models into products and internal systems through APIs.
- Fine-tune, evaluate, and monitor model performance.
- Work closely with Product, Engineering, Data, and business teams to identify AI use cases.
- Ensure AI solutions follow data privacy, security, and governance standards.
- Document AI models, workflows, and technical designs.
Requirements
- Bachelor’s degree in Computer Science, AI, Data Science, Software Engineering, or related field.
- 2–5 years of experience in AI, machine learning, data science, or software engineering.
- Strong Python programming skills.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn.
- Knowledge of LLMs, NLP, embeddings, vector databases, and RAG.
- Experience with APIs, cloud platforms, and production deployment.
- Strong problem-solving and collaboration skills.
Preferred
- Experience with OpenAI, Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Experience with LangChain, LlamaIndex, Pinecone, FAISS, or similar tools.
- Experience in fintech, banking, payments, or regulated environments.
We believe you will love working at HALA!
- We have an inclusive and diverse culture that encourages innovation and flexibility in remote, in-office, and hybrid work setups.
- We offer highly competitive compensation packages, including the potential for shares.
- We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
- Join a talented team of over 30 nationalities working in 7 countries and gain valuable experience in an exciting industry.
- We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.
- You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
Ready to apply?
Apply to HALA
Artefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.
Your responsibilities will include:
- Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
- Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
- Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
- Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
- Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
What we are looking for?
- 2-5 years: Data Engineer
- Proficiency in Python, SQL, and database management.
- Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
- Proven problem-solving skills and a solution-oriented mindset.
- Experience working with business stakeholders either internally or externally
- Excellent communication skills to collaborate effectively within teams and with stakeholders.
- Strong business acumen with an interest in business-facing roles.
- Adaptability and a start-up mentality to thrive in a dynamic environment.
- Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.
Artefact is the place to be: come and build the future of data and AI
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.
Ready to apply?
Apply to ArtefactArtefact is a new generation of data service providers specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.
The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…
What you will be doing?
As a Data Engineer, your role involves crafting and maintaining robust data pipelines, utilising Python and SQL, to ensure efficient extraction, transformation, and loading (ETL) of data.
Your responsibilities will include:
- Data Pipeline Development: Building and optimising data pipelines to facilitate seamless data flow across systems and platforms.
- Database Management: Managing databases, ensuring their integrity, and implementing data storage and retrieval solutions.
- Cloud Services Integration: Leveraging cloud services such as MS Azure, GCP, and AWS to architect and deploy scalable data solutions.
- Machine Learning Integration: Collaborating with teams to integrate machine learning models into data pipelines for enhanced data processing.
- Utilising Spark & Kafka: Implementing and working with Spark and Kafka for real-time data processing and analytics.
What we are looking for?
- 2-5 years: Data Engineer
- Proficiency in Python, SQL, and database management.
- Experience with Data Pipelines ETL, Cloud Services (MS Azure, GCP, AWS), ML Modeling, Spark & Kafka.
- Proven problem-solving skills and a solution-oriented mindset.
- Experience working with business stakeholders either internally or externally
- Excellent communication skills to collaborate effectively within teams and with stakeholders.
- Strong business acumen with an interest in business-facing roles.
- Adaptability and a start-up mentality to thrive in a dynamic environment.
- Minimum of a bachelor's degree in Computer Science, Electronics, and Communication Engineering degrees.
Artefact is the place to be: come and build the future of data and AI
Innovation: We have a passion for creating impacting projects and believe innovation can come from anyone.
Action: We make things rather than telling people how to make them.
Collaboration: We believe in bringing talented people together, winning together, and in learning from each other.
Ready to apply?
Apply to Artefact