sales engineer

engineering manager

production engineer

senior sales engineer

data engineer

machine learning engineer

Confidential Government

<div>
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy AI and machine learning models for real-world business applications
 </li>
 <li>
 Design and manage data pipelines to support model training and inference
 </li>
 <li>
 Perform feature engineering and data preparation to improve model performance
 </li>
 <li>
 Integrate ML solutions into production systems and business platforms
 </li>
 <li>
 Implement MLOps practices for model deployment, monitoring, and continuous improvement
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into AI solutions
 </li>
 </ul>
 
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 Artificial Intelligence (AI)
 </li>
 <li>
 Machine Learning (ML)
 </li>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 TensorFlow / PyTorch
 </li>
 <li>
 MLOps
 </li>
 <li>
 Feature Engineering
 </li>
 <li>
 Data Pipelines
 </li>
 <li>
 Cloud AI platforms (MS Azure / Copilot / AI Foundry)
 </li>
 </ul>
 
 
 
 
 
 Experience
 
 
 <ul>
 <li>
 
 2&ndash;4 years of relevant experience
 
 in AI / Machine Learning development.
 </li>
 </ul>
 
 
</div>

AI & Machine Learning Engineer

Muller's Solutions

<div>M&uuml;ller&rsquo;s Solutions is excited to announce an opening for a Google Cloud AI Specialist to drive our artificial intelligence initiatives leveraging Google Cloud Platform (GCP). In this role, you will be responsible for designing and implementing AI and machine learning solutions to help transform our data into actionable insights and enhance decision-making processes across the organization. 
Key Responsibilities:<ul><li>
Develop and deploy machine learning models using GCP tools such as AI Platform, TensorFlow, and AutoML.</li><li>
Collaborate with cross-functional teams to identify business needs and translate them into AI and ML project requirements.</li><li>
Conduct data analysis to prepare datasets for model training and evaluation while ensuring data quality and integrity.</li><li>
Implement and optimize AI workflows that facilitate real-time data processing and inference.</li><li>
Stay updated on the latest advancements in AI and machine learning technologies to continuously improve our offerings.</li><li>
Provide technical guidance and support to teams on best practices for using Google Cloud AI services.</li><li>
Document AI project implementations, model performance evaluations, and ongoing maintenance procedures.</li><li>
Contribute to developing educational materials and training sessions on AI capabilities for staff and stakeholders.</li><li>
Monitor and assess the performance of deployed AI models, making adjustments as necessary to ensure effectiveness.</li></ul> 

Requirements 
Requirements:<ul>
<li>Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of experience in machine learning or AI solutions development, preferably using Google Cloud Platform.</li>
<li>Proficient in programming languages such as Python or R, with a strong understanding of machine learning libraries (e.g., TensorFlow, scikit-learn).</li>
<li>Experience with cloud-based AI technologies, especially GCP services like Vision AI, Natural Language API, and AutoML.</li>
<li>Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques.</li>
<li>Ability to work with large datasets, utilizing BigQuery or similar data processing tools.</li>
<li>Excellent problem-solving skills and a strong analytical mindset.</li>
<li>Capable of communicating complex technical concepts to diverse audiences effectively.</li>
</ul>Preferred Qualifications:<ul>
<li>Google Cloud certifications (e.g., Google Cloud Professional Data Engineer or Google Cloud Professional Machine Learning Engineer) are a plus.</li>
<li>Experience with MLOps practices and tools for model deployment and management.</li>
<li>Familiarity with DevOps practices as they relate to AI and machine learning.</li>
<li>A background in statistics or applied mathematics is desirable.</li> 
</ul> 
 
Benefits 
1- Attractive Package.
2- Family Benefits.
3- Visa.
4-Air Tickets.</div>

Google Cloud AI Specialist

TAWANTECH

<div>Job Summary: 
 
We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
Key Responsibilities:<ul><li>
Develop, train, and deploy machine learning models.
</li><li>Build scalable data pipelines and integrate ML into applications.
</li><li>Perform data preprocessing, feature engineering, and model evaluation.
</li><li>Monitor model performance and implement improvements.
</li><li>Collaborate with engineering and product teams in agile environments.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or related field.
</li><li>4+ years of ML experience in software/product companies.
</li><li>Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
</li><li>Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
</li><li>Good understanding of statistics, algorithms, and MLOps practices.</li></ul></div>

Machine Learner Engineer

<div>
 
 Job Summary:
 
 
 
 We are looking for a Machine Learning Engineer with 4+ years of experience in building, deploying, and optimizing ML models in software environments. The ideal candidate has strong Python skills and hands-on experience delivering production-ready ML solutions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Develop, train, and deploy machine learning models.
 </li>
 <li>
 Build scalable data pipelines and integrate ML into applications.
 </li>
 <li>
 Perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Monitor model performance and implement improvements.
 </li>
 <li>
 Collaborate with engineering and product teams in agile environments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's in Computer Science, AI, or related field.
 </li>
 <li>
 4+ years of ML experience in software/product companies.
 </li>
 <li>
 Strong Python skills and experience with TensorFlow, PyTorch, or Scikit-learn.
 </li>
 <li>
 Experience deploying models in production (cloud preferred: AWS/Azure/GCP).
 </li>
 <li>
 Good understanding of statistics, algorithms, and MLOps practices
 </li>
 </ul>
</div>

Tamara

<div>
 
 Why Tamara?
 
 
 
 We&rsquo;re proud to be Saudi&rsquo;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. &amp; 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&rsquo;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&rsquo;t a rotational &ldquo;observer&rdquo; program, it&rsquo;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&rsquo;ll contribute immediately and grow at an accelerated pace.
 
 
 From Product to Engineering, Design to Commercial, you&rsquo;ll tackle meaningful challenges that shape how millions experience fintech across the region. You&rsquo;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&rsquo;s next - not someday, but now.
 
 
 
 About The Role
 
 
 
 We&rsquo;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 &ldquo;cool idea&rdquo; to &ldquo;running in production&rdquo;. 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
 
 
 
 <ul>
 <li>
 Build and ship ML systems
 </li>
 <ul>
 <li>
 Develop and deploy ML models and services that solve real business problems.
 </li>
 <li>
 Write production-quality code, tests, and documentation.
 </li>
 </ul>
 <li>
 Own the full model lifecycle
 </li>
 <ul>
 <li>
 Help with data understanding, feature creation, training, evaluation, and iteration.
 </li>
 <li>
 Set up offline and online evaluation, and monitor performance after release.
 </li>
 </ul>
 <li>
 Make ML reliable in production
 </li>
 <ul>
 <li>
 Improve model serving reliability, latency, and cost.
 </li>
 <li>
 Implement monitoring for data drift, model drift, and key quality metrics.
 </li>
 <li>
 Participate in incident response and postmortems when needed.
 </li>
 </ul>
 <li>
 Work with data and platform teams
 </li>
 <ul>
 <li>
 Partner with data engineers and platform engineers on pipelines, event-driven signals, and data quality.
 </li>
 <li>
 Use event streaming patterns when appropriate (near-real-time features, online scoring, CDC signals).
 </li>
 </ul>
 <li>
 Build tools that help others move faster
 </li>
 <ul>
 <li>
 Contribute to reusable training and serving components (templates, libraries, CI/CD, feature pipelines).
 </li>
 <li>
 Help enable safe self-serve ML and AI usage across teams.
 </li>
 </ul>
 <li>
 Use AI tools thoughtfully
 </li>
 <ul>
 <li>
 Use AI to accelerate prototyping, debugging, documentation, and test generation.
 </li>
 <li>
 Validate outputs, document assumptions, and protect sensitive data.
 
 </li>
 </ul>
 </ul>
 
 Your expertise (must have)
 
 
 
 Fresh graduate or &lt; 1 year of relevant experience (internships and projects count).
 <li>
 Solid programming fundamentals in Python (preferred) or another language used for ML systems.
 </li>
 <li>
 Strong fundamentals in:
 </li>
 <ul>
 <li>
 Data structures and algorithms (enough to write efficient, reliable code)
 </li>
 <li>
 Probability and statistics basics
 </li>
 <li>
 ML fundamentals (supervised learning, overfitting, validation, metrics)
 </li>
 </ul>
 <li>
 Comfort working with data using SQL and/or Python.
 </li>
 <li>
 A problem-solving mindset and curiosity to learn quickly.
 </li>
 <li>
 Clear communication and a collaborative approach.
 
 </li>
 
 Nice to have
 
 
 
 <ul>
 <li>
 Experience with common ML libraries (scikit-learn, PyTorch, TensorFlow) through coursework or projects.
 </li>
 <li>
 Familiarity with model deployment patterns (APIs, batch scoring, streaming/online scoring).
 </li>
 <li>
 Exposure to MLOps concepts (experiment tracking, model registry, CI/CD, monitoring).
 </li>
 <li>
 Familiarity with cloud (GCP/AWS) and containers (Docker) is a plus.
 </li>
 <li>
 Understanding of responsible AI and privacy (PII handling, access control, evaluation).
 </li>
 <li>
 Experience using AI assistants responsibly for coding and analysis.
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 You ship at least one end-to-end ML improvement (model, feature, or service) that runs reliably.
 </li>
 <li>
 You can explain model performance clearly: what improved, what did not, and why.
 </li>
 <li>
 Monitoring is in place for your models, and you react quickly when metrics drift.
 </li>
 <li>
 You reduce manual effort for the team by adding a reusable component, template, or automation.
 </li>
 </ul>
</div>

Associate ML Engineer - Builders Program

Buro Happold

<div>
 
 Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert
 
 
 
 
 Here at Buro Happold, expect the exceptional.
 
 
 
 From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world . From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary.
 
 
 
 Your next role
 
 
 
 Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive.
 
 
 You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy.
 
 
 
 Your key duties
 
 
 
 We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
 
 
 As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:
 
 
 <ul>
 <li>
 Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.
 </li>
 <li>
 Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.
 </li>
 <li>
 Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).
 </li>
 <li>
 Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.
 </li>
 <li>
 Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.
 </li>
 <li>
 Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.
 </li>
 <li>
 Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).
 </li>
 <li>
 Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.
 
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.
 </li>
 <li>
 Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.
 </li>
 <li>
 Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.
 </li>
 <li>
 Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.
 </li>
 <li>
 Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.
 </li>
 <li>
 Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.
 
 
 
 </li>
 </ul>
 
 Academic Qualifications
 
 
 
 The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science
 </li>
 <li>
 Data Science
 </li>
 <li>
 Statistics, Mathematics
 </li>
 <li>
 Engineering
 </li>
 <li>
 or a related quantitative discipline (or equivalent relevant experience).
 
 
 
 </li>
 </ul>
 
 Personal Attributes
 
 
 
 <ul>
 <li>
 Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.
 </li>
 <li>
 Proactive and solution driven , with a strong sense of ownership for deadlines and deliverables.
 </li>
 <li>
 Collaborative team player, comfortable working with multidisciplinary and multicultural teams.
 </li>
 <li>
 Able to work under pressure, manage multiple priorities, and adapt to evolving project needs
 
 
 
 </li>
 </ul>
 
 What We Offer You
 
 
 
 <ul>
 <li>
 Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.
 </li>
 <li>
 Hybrid working arrangements
 </li>
 <li>
 Attractive salary and benefits package
 </li>
 <li>
 A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you
 </li>
 <li>
 Entitlement to two memberships to professional bodies or subscriptions
 </li>
 <li>
 An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.
 
 
 
 </li>
 </ul>
 
 At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy.
 
 
 
 
 A place for everyone
 
 
 
 Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance . We welcome applications from those who are seeking flexibility in their careers.
 
 
 Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive .
 
 
 We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
 
 
 Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application.
 
 
</div>

Senior Consultant - AI & Data Science

<div>Want to build the AI solutions that make smart cities truly intelligent? Your expertise might just make you our new AI &amp; Data Science Expert 
Here at Buro Happold, expect the exceptional.
From the projects you will work on to the clients we work with. From career-defining opportunities to an inclusive and diverse practice where we all contribute to a more equitable world. From our reputation to our relationships. Wherever your Buro Happold career takes you, it&rsquo;ll be anything but ordinary. 
Your next role
Buro Happold has a clear strategic plan, strong learning culture and entrepreneurial mindset that will allow you to thrive. 
You&rsquo;ll be part of something bigger than us all where sustainability, equity, social and performance outcomes matter. All of Buro Happold is committed to doing the right thing, even when that&rsquo;s the hardest thing. This is a genuine opportunity to make impact - and leave real legacy. 
Your key duties
We are seeking an experienced AI &amp; Data Science Expert to design, build, and deploy advanced analytics and machine learning solutions that generate measurable value for the business. The role focuses on end to end ownership of use cases: from problem framing and data exploration, through model development and validation, to deployment, monitoring, and continuous improvement. The AI &amp; Data Science Expert will work closely with business stakeholders, product teams, and technology functions to translate complex data into actionable insights and scalable AI products.
As a Senior Consultant specializing in AI and Data Science, you will take a leading role in designing, developing, and implementing advanced data-driven solutions. Your responsibilities will include:<ul><li>
Engage with stakeholders to understand business challenges and translate them into well defined AI and data science use cases.</li><li>
Collect, clean, and engineer data from multiple sources (structured and unstructured) to create robust feature sets for modelling.</li><li>
Develop, validate, and optimize machine learning and statistical models (e.g., classification, regression, forecasting, clustering, recommendation).</li><li>
Build and maintain production grade pipelines for model training, deployment, and monitoring in collaboration with data engineering and IT teams.</li><li>
Design and implement experiments, A/B tests, and performance evaluation frameworks to quantify model impact.</li><li>
Communicate findings and recommendations clearly through dashboards, visualisations, and presentations tailored to technical and non technical audiences.</li><li>
Contribute to the development of AI standards, best practices, and reusable components (feature stores, model templates, evaluation frameworks).</li><li>
Stay current with advances in AI/ML, data science tools, and MLOps practices, and assess their relevance for the organisation.</li></ul> 
Your skills and experience<ul><li>
Minimum 5 years of hands on experience in data science / machine learning roles, delivering production ready solutions.</li><li>
Solid experience with supervised and unsupervised learning techniques, model evaluation, feature engineering, and hyperparameter tuning.</li><li>
Practical experience working with SQL and relational databases; familiarity with big data or cloud data platforms is an advantage.</li><li>
Experience building end to end workflows from data ingestion to model deployment, ideally with exposure to MLOps tools and practices.</li><li>
Strong analytical and problem solving skills, with the ability to structure ambiguous problems and work with imperfect data.</li><li>
Proven ability to explain complex concepts clearly to non technical stakeholders and to influence data driven decisions.</li></ul>
Academic qualifications
The role is suitable for candidates with a strong digital and design background. We would welcome applications from those with degrees in:<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science</li><li>
Data Science</li><li>
Statistics, Mathematics</li><li>
Engineering</li><li>
or a related quantitative discipline (or equivalent relevant experience).</li></ul>
Personal Attributes<ul><li>
Highly organised, detail oriented, and rigorous in approach to data and schedule integrity.</li><li>
Proactive and solution driven, with a strong sense of ownership for deadlines and deliverables.</li><li>
Collaborative team player, comfortable working with multidisciplinary and multicultural teams.</li><li>
Able to work under pressure, manage multiple priorities, and adapt to evolving project needs</li></ul> 
What we offer you<ul><li>
Bring your knowledge and expertise to one of the world&rsquo;s most respected consultancies.</li><li>
Hybrid working arrangements</li><li>
Attractive salary and benefits package</li><li>
A strong commitment to your continuous development. Whatever stage in your career, we have a learning and development programme that will enable and empower you</li><li>
Entitlement to two memberships to professional bodies or subscriptions</li><li>
An international culture that wherever your career takes you at Buro Happold, you won&rsquo;t be far from the exceptional.</li></ul> 
At Buro Happold, everyone else&rsquo;s extraordinary is just our everyday. Apply today and be a part of our legacy. 
A place for everyone
Buro Happold values individual's flexible approaches to working patterns as an important part of the way you work and achieve balance. We welcome applications from those who are seeking flexibility in their careers. 
Our exceptional portfolio of projects is the result of the diversity of thought, identities, backgrounds and experiences that shape us. Appreciating each other&rsquo;s differences is key, we want employees to feel they don&rsquo;t have to mask elements of their identity to thrive. 
We are working to change the lack of representation of marginalised groups in the built environment and are particularly keen to hear from anyone who feels they are underrepresented in the industry. We have much to learn from one another. Embracing difference allows us to develop the most innovative and elegant solutions.
Please let us know if there are any adjustments, we could make to the application process to make it easier and more comfortable for you. Contact recruitment@burohappold.com so we can work with you to support you throughout your application. 
#LI-LH</div>

Explore 482+ Machine learning engineer in Riyadh this March. Find roles across top companies and apply now to boost your career.

482 machine learning engineer jobs In Riyadh

AI & Machine Learning Engineer

Google Cloud AI Specialist

Machine Learner Engineer

Machine Learner Engineer

Associate ML Engineer - Builders Program

Senior Consultant - AI & Data Science

Senior Consultant - AI & Data Science