1 504 Python jobs in Bahrain

• Designing, developing, and deploying scalable backend services and APIs using Python.
• Managing and optimizing relational and non-relational databases.
• Architecting and implementing cloud-based solutions on platforms like AWS, Azure, or GCP.
• Writing clean, efficient, testable, and maintainable code.
• Collaborating with cross-functional teams to define, design, and ship new features.
• Leading code reviews and providing constructive feedback to team members.
• Troubleshooting, debugging, and upgrading existing systems.
• Implementing and maintaining CI/CD pipelines and infrastructure automation.
• Ensuring the performance, quality, and responsiveness of applications.
• Staying up-to-date with emerging technologies and industry best practices.

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of professional experience in backend software development, with a strong focus on Python.
• Proficiency in at least one major Python web framework (e.g., Django, Flask, FastAPI).
• Extensive experience with cloud platforms (AWS, Azure, GCP).
• Strong knowledge of SQL and/or NoSQL databases.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Familiarity with CI/CD tools and practices.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and collaboratively in a remote team environment.

• Design, develop, and maintain scalable and efficient backend services and APIs using Python and Django.
• Architect and implement database solutions, ensuring data integrity and performance.
• Write clean, well-documented, and maintainable code adhering to best practices.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Implement security and data protection measures.
• Optimize applications for maximum speed and scalability.
• Participate in code reviews, providing constructive feedback to team members.
• Troubleshoot, debug, and upgrade existing systems.
• Stay up-to-date with emerging technologies and industry trends.
• Contribute to the overall technical strategy and architecture of the platform.

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• Minimum of 5 years of professional experience in backend development.
• Expertise in Python and the Django web framework.
• Strong experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases.
• Proficiency in RESTful API design and development.
• Familiarity with frontend technologies (HTML, CSS, JavaScript) and frameworks is a plus.
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Understanding of software development best practices, including version control (Git) and CI/CD.
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and manage time effectively in a remote environment.

Canonical is hiring a Python Software Engineer to join the Certification team, who make the tools which enable us to know that a desktop, laptop, server or IoT device is working properly. We work at the interface of hardware and software, so the ideal candidate is a Python developer familiar with hardware.

The Certification team develops the tools needed to certify hardware as working with Ubuntu Core as well as Ubuntu Desktop and Server: design hardware which can be used to probe devices independently, and frameworks for software tests that check every aspect of Ubuntu on that hardware.

This is an excellent opportunity for someone who wants to have a meaningful impact for adoption of Linux across multiple device categories and industries. Canonical offers a fun, fast-paced team environment and a career full of learning and development opportunities. This team is centered in EMEA time zones, and works with colleagues on related teams in both the Americas and APAC.

We work together with silicon companies, OEMs, ODMs and teams within Canonical to ensure a smooth, secure out of the box Ubuntu experience, with success in this role leading to a great Ubuntu experience being offered on more and more devices.

Role description

We are looking for a self-motivated software engineer with experience developing in Python, to work on test automation tools or Linux based embedded hardware. This role offers an exciting opportunity to push the industry forward by enabling entirely new Linux based hardware testing capabilities, scaling up hardware certification efforts and allowing for deeper test coverage.

The role involves the development and maintenance of Canonical's open source certification tools, supporting the creation of hardware solutions for test automation, and automating our existing processes. We seek out continuous process and tooling improvements as part of expanding the certification test suites, ultimately to improve the quality of Linux experience felt by millions of Linux end users.

Key responsibilities

• Maintain and develop new features to our Python based test automation tools like Checkbox, used by both in-house teams and industry partners.
• Invent new ways to enable remote, automated testing.
• Help build the software counterpart to in-house designed testing hardware to help test device enablement (graphics, hotplug, bluetooth, etc).
• Write functional and performance tests to support hardware enablement and to protect from regressions.
• Participate in meetings involving international travel 2-3 times per year.
  
  

• Knowledge of Python programming language.
• Quality oriented, pragmatic approach to software design and implementation.
• Interest in test automation methodologies.
• Previous experience working with Ubuntu or other Linux distributions.
• Ability to be productive in a globally distributed team.
  
  

• Passion for tinkering: you are a maker.
• Experience working in an agile environment.
• Hardware testing experience, for example in the IoT space.
• Familiarity with the C programming language.
  
  

Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We are hiring a Software Engineer to develop, test and release improvements to the Ubuntu Pro client.

Ubuntu Pro is a suite of specialist services provided by Canonical. Whether for enterprise customers deploying systems at scale or users who want security patching for their personal Ubuntu LTS at home, the Ubuntu Pro Client is the command-line tool that manages all these services.

The quality and stability of the Ubuntu Pro Client is critically important, since it comes pre-installed on every Ubuntu system. You'll work with the Ubuntu Server team, alongside major cloud partners and multiple Canonical product teams to develop, test and release improvements to the Pro client. You will also be a voice in communication with our users, ensuring their needs are met.

This role requires quality-oriented software engineering in Python and a focus on software interoperability over a vast range of target releases and environments. Excellent Python skills are a key requirement, with previous contributions to open source Python projects being an advantage. The Pro client often interacts with the Ubuntu package management; therefore, experience in configuring apt, and knowledge of deb packaging and general system administration is advantageous in this role.

Applicants should be passionate about the Ubuntu project and its values and about building tools that are used by millions of people around the world. A personal interest and emphasis on quality, thinking of edge cases, ease of use, documentation, and careful community coordination is important. The Pro client is used at all ranges, from mission-critical environments to hobbyist Ubuntu users; applicants should be ready to work with the whole spectrum of end users and help guide engineering best practices with all of them in mind.

The role entails

• Collaborate proactively with a distributed team
• Write high quality code, with unit and functional tests, to create new features
• Debug issues and produce high quality code to fix them
• Review code produced by other engineers
• Discuss ideas and investigate to find good solutions
• Work from home, with global travel 2 to 4 weeks per year for internal and external events
  
  

• You love technology and working with brilliant people
• You are curious, flexible, articulate, and accountable
• You value soft skills and are passionate, enterprising, thoughtful, and self-motivated
• You have a Bachelor's or equivalent in Computer Science, STEM or similar degree
• You have extensive experience with Python on Linux
• You have interest in and experience with two or more of the following: Ubuntu Linux systems administration, continuous integration, end-system contract management, Debian packaging, working with public or on premise clouds
• Bonus points if you have experience engaging with the open source community
  
  

• Distributed work environment with twice-yearly team sprints in person
• Personal learning and development budget of USD 2,000 per year
• Annual compensation review
• Recognition rewards
• Annual holiday leave
• Maternity and paternity leave
• Team Member Assistance Program & Wellness Platform
• Opportunity to travel to new locations to meet colleagues
• Priority Pass and travel upgrades for long-haul company events
  
  

SWATX is seeking a highly skilled and experienced Data Science Manager to lead our growing data science team. In this strategic role, you will be responsible for overseeing the development and implementation of data-driven solutions to solve complex business challenges. You will mentor and guide a team of data scientists, driving innovation and excellence in analytics and machine learning. If you are a strong leader with a passion for data science and a proven track record of delivering impactful solutions, we invite you to join us.

Responsibilities:

• Lead and mentor a team of data scientists, providing guidance on best practices in data analysis, machine learning, and statistical modeling
• Develop and execute the data science strategy aligned with business objectives, ensuring that data-driven insights are integrated into decision-making processes
• Oversee the design and implementation of innovative data science projects that drive value for the organization
• Collaborate with cross-functional teams to identify opportunities for leveraging data to improve products, services, and operational efficiency
• Build and maintain strong relationships with stakeholders, understanding their data needs and ensuring timely delivery of insights
• Monitor and evaluate the performance of data science models and adjust strategies as necessary to achieve desired results
• Promote a data-driven culture within the organization by communicating the value of data science initiatives to stakeholders at all levels
• Stay updated on the latest trends and developments in data science and analytics, and integrate new methodologies and tools as appropriate
  
  

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
• Proven experience in a data science role, with at least 5+ years of experience, including 2+ years in a managerial or leadership position
• Strong proficiency in programming languages such as Python, R, and experience with data manipulation and analysis libraries
• Solid understanding of machine learning algorithms, statistical methodologies, and data modeling techniques
• Experience with data visualization tools (e.g., Tableau, Power BI) to communicate findings effectively
• Excellent project management skills and ability to prioritize tasks in a fast-paced environment
• Strong analytical and problem-solving skills with attention to detail
• Exceptional communication skills, both verbal and written, in English and Arabic
• Proven capability to drive collaboration across teams and influence senior stakeholders
  
  

• Certified Data Scientist (CDS)
• Microsoft Certified: Azure Data Scientist Associate
• Google Cloud Professional Data Engineer

Job Summary

We are seeking the Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

• Design, build, and deploy ML/AI models for:
• Personalized investment recommendations
• Smart content curation
• Behavioral and predictive analytics
• Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus

The Family Office is an independent wealth management firm offering customized investment solutions in alternative asset classes, including private equity, private debt, and real estate. Serving high-net-worth individuals and families, we provide tailored strategies to address unique financial needs with a focus on transparency, diversification, and long-term value. With a commitment to excellence and decades of expertise, The Family Office helps clients preserve and grow their wealth across generations.

We are seeking a Data Science Manager & Head of Recommendations and Personalization to lead the development of intelligent, data-driven client experiences across our digital platforms. You will spearhead the design and implementation of machine learning models for personalized investment recommendations, content targeting, and client engagement optimization.

This is a high-impact role for a strategic data leader who thrives in a fast-paced environment and has experience building and scaling personalization systems—ideally in fintech, digital wealth, or consumer platforms.

• Define the personalization and recommendation strategy aligned with business goals and client experience vision.
• Lead, mentor, and grow a team of data scientists and machine learning engineers.
• Collaborate cross-functionally with product, marketing, engineering, and commercial teams to embed data-driven personalization across all client touchpoints.

• Design, build, and deploy ML/AI models for:
  • Personalized investment recommendations
  • Smart content curation
  • Behavioral and predictive analytics
  • Funnel optimization and conversion predictions
• Drive experimentation and continuous model performance improvement using A/B testing and data validation techniques.
• Ensure model explainability, fairness, and compliance with relevant data privacy regulations.

• Architect and oversee the personalization engine powering mobile, web, and CRM systems.
• Implement real-time data processing pipelines for adaptive personalization.
• Collaborate with data engineering to ensure scalable, high-quality data infrastructure and feature pipelines.

• Translate data into actionable insights to inform client segmentation, lifecycle management, and journey personalization.
• Develop dashboards and KPIs to measure impact of personalization initiatives on user engagement and business outcomes.

• Strong product sense with a deep understanding of client behavior in digital financial services.
• A passion for using data to improve lives and decision-making for HNW individuals.
• Strategic and hands-on: able to drive vision and execute technical implementation.
• Collaborative leadership and stakeholder communication skills.
• Highly analytical with strong attention to detail and data integrity.

• Master’s or PhD in Data Science, Machine Learning, Computer Science, or related field.
• 6+ years of experience in applied data science, with 2+ years in a leadership or managerial role.
• Proven experience developing personalization and recommendation systems at scale.
• Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with data platforms such as Databricks, AWS/GCP/Azure, and real-time data systems (e.g., Kafka).
• Background in fintech, wealth management, or e-commerce personalization is a strong plus