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python engineer

Canonical

<div>
 Canonical is a leading provider of open-source software and operating systems for 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 more than 80 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
 
 Python Software Engineer
 
 who strives for the highest engineering quality, seeks improvements, continuously develops their skills, and applies them at work. This is an exciting opportunity to work with many popular software systems, integrations technologies, and exciting open source solutions.
 
 
 The Commercial Systems unit is conceived as six engineering teams that closely collaborate with other engineering and business teams at Canonical. Services designed, developed, and operated by the Commercial Systems unit are at the heart of Canonical business and Python plays an integral role in it. We are looking for Python Software Engineers for the Integrations team.
 
 
 The
 
 Integrations
 
 team is responsible for the automation of SAAS user management and onboarding of new data sources to the data mesh. The team designs, develops, and operates a Python based solution to automate SAAS seat management and track spend across the application portfolio. Furthermore the team integrates internal and external data sources into the data mesh using open-source ETL solutions, enabling more data driven decisions in the organization.
 
 
 
 Location
 
 : This role will be based remotely in the EMEA region.
 
 
 
 The role entails
 
 
 
 <ul>
 <li>
 Develop engineering solutions leveraging Python
 </li>
 <li>
 Collaborate with colleagues on technical designs and code reviews
 </li>
 <li>
 Deploy and operate services developed by the team
 </li>
 <li>
 Depending on your seniority, coach, mentor, and offer career development feedback
 </li>
 <li>
 Develop and evangelize great engineering and organizational practices
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Experience with software development in Python
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel internationally twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Nice-to-have skills
 
 
 
 <ul>
 <li>
 Performance engineering and security experience
 </li>
 <li>
 Experience with Airbyte, Ranger, Temporal, or Trino
 
 
 </li>
 </ul>
 
 What we offer colleagues
 
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Python Software Engineer, Commercial Systems

eSense

<div>
 Position Overview
 
 
 
 
 Mid-Level AI Engineer with strong hands-on experience in end-to-end AI system development, specializing in on-premises and private cloud AI deployments. This role focuses on building production-grade AI solutions using primarily local models, optimizing GPU-based training and fine-tuning pipelines, and developing scalable RAG, agentic, multimodal, and speech-enabled systems.
 
 
 
 
 Key Responsibilities&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze requirements and contribute to technical AI solution design.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong programming skills in Python (mandatory).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in backend development (APIs, microservices, model serving).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Hands-on experience with local LLM deployment and optimization.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in RAG system design and vector databases.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Practical experience in model fine-tuning (LoRA / PEFT).
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Solid understanding of: Transformer architecture, quantization techniques, and embeddings with retrieval.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience working in Linux environments.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in peer code reviews and team planning activities.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide task estimations and deliver within approved timelines.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Apply secure coding practices and participate in bug resolution with quality metrics in mind.
 
 
 
 
 Qualifications
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor&rsquo;s degree in computer science, Artificial Intelligence, Data Science, or related discipline.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;2-5 years of experience in AI Engineering.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency in C#, .NET Core and Python.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Structured and Unstructured databases.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with Angular or other frontend technologies is a strong plus.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Working knowledge of relational databases (i.e., SQL Server) and non-relational databases (i.e., Qdrant)
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Familiarity with Git, RESTful services, and Agile development methodologies
 
</div>

AI Engineer

Si-Ware Systems

<div>
 Si-Ware Systems is a global leader in semiconductor and spectroscopy solutions. Our innovative devices and software enable material analysis across many industries.
 
 
 At Si-Ware, we foster a culture of innovation, collaboration, and continuous learning, empowering our people to push the boundaries of technology.
 
 
 As a
 
 Machine Learning Engineer
 
 at Si-Ware, you will design, implement, and deploy applied ML solutions that power real-world spectroscopy devices and emerging physical AI systems.
 
 
 You will work at the intersection of machine learning, software engineering, and intelligent hardware integration.
 
 
 initiatives.
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; Modeling
 
 
 
 <ul>
 <li>
 Perform data cleaning, preprocessing, and transformation for training and evaluation.
 </li>
 <li>
 Contribute to the development, training, and improvement of machine learning models.
 </li>
 <li>
 Design and execute structured experiments using appropriate validation strategies (cross-validation, hold-out testing, statistical comparison).
 </li>
 <li>
 Evaluate models using appropriate performance metrics (Accuracy, Precision, Recall, F1, RMSE, etc.).
 </li>
 <li>
 Optimize models and inference pipelines for performance, memory efficiency, and real-time constraints when required.
 </li>
 <li>
 Ensure reproducibility, traceability, and proper validation of models within regulated or industrial environments.
 </li>
 <li>
 Support chemometrics-related workflows, including spectral preprocessing, feature extraction, multivariate modeling, and validation for spectroscopy-based applications.
 
 
 
 </li>
 </ul>
 
 Production &amp; System Integration
 
 
 
 <ul>
 <li>
 Design and implement production-ready ML pipelines integrated with software applications and hardware systems.
 </li>
 <li>
 Ensure models are maintainable, version-controlled, and deployable within real-world products.
 </li>
 <li>
 Contribute to the design and evolution of ML system architecture and reusable pipeline components.
 </li>
 <li>
 Develop unit and integration tests for ML components to ensure reliability.
 </li>
 <li>
 Document ML modules and interfaces to support long-term maintainability.
 </li>
 <li>
 Work closely with software and firmware teams to integrate ML models into desktop applications, services, and embedded workflows.
 
 
 
 </li>
 </ul>
 
 Tools, Innovation &amp; Growth
 
 
 
 <ul>
 <li>
 Participate in the development of internal and customer-facing ML-driven tools and automation utilities.
 </li>
 <li>
 Stay updated with the latest machine learning research, tools, and industry practices.
 </li>
 <li>
 Contribute to exploratory and applied ML solutions in emerging physical AI systems, including robotics and sensor-driven intelligent platforms.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field.
 </li>
 <li>
 1 - 4 years of relevant industry or applied ML experience preferred.
 </li>
 <li>
 Strong focus on applied machine learning and engineering implementation.
 </li>
 <li>
 Hands-on experience with Python and its ML ecosystem (NumPy, Pandas, Matplotlib, Scikit-Learn).
 </li>
 <li>
 Familiarity with at least one deep learning framework (PyTorch or TensorFlow).
 </li>
 <li>
 Solid understanding of software engineering principles (modular design, version control, testing, debugging).
 </li>
 <li>
 Experience structuring modular Python codebases.
 </li>
 <li>
 Familiarity with packaging, model serialization, and reproducible pipelines.
 </li>
 <li>
 Experience working within larger software systems (not only notebooks).
 </li>
 <li>
 Strong analytical and problem-solving skills.
 </li>
 <li>
 Good communication skills and ability to work in a collaborative team environment.
 </li>
 <li>
 Proficiency in English (reading and writing).
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Basic understanding of chemometrics concepts (multivariate analysis, regression/classification, spectral data handling).
 </li>
 <li>
 Exposure to spectroscopy data (NIR, IR) and common preprocessing techniques (normalization, smoothing, baseline correction).
 </li>
 <li>
 Experience contributing to ML tools, internal platforms, or data analysis software.
 </li>
 <li>
 Knowledge of MLOps practices (Git, CI/CD, Docker).
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP, Azure).
 </li>
 <li>
 Experience with robotics frameworks (ROS).
 </li>
 <li>
 Experience with sensor fusion.
 </li>
 <li>
 Experience with real-time ML inference.
 </li>
 <li>
 Basic understanding of control systems.
 </li>
 <li>
 Exposure to data visualization or BI tools.
 </li>
 <li>
 Contributions to Kaggle competitions, research projects, or open-source initiatives.
 </li>
 </ul>
</div>

Machine Learning Engineer

ABMEGYPT

<div>
 
 
 Type: Full-Time [Hybrid]
 
 
 
 Location: New Cairo
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Build Python automation scripts that interact with web pages (using Playwright or similar frameworks).
 </li>
 <li>
 Parse and process dynamic web content.
 </li>
 <li>
 Handle image extraction and basic image processing tasks.
 </li>
 <li>
 Design and maintain backend services (e.g., FastAPI) to receive and process uploaded data.
 </li>
 <li>
 Implement reliable communication between automation scripts and backend endpoints.
 </li>
 <li>
 Write clean, testable, and maintainable code with proper error handling and logging.
 </li>
 <li>
 Ensure reliable automation workflows that can handle asynchronous or concurrent tasks.
 </li>
 <li>
 Collaborate on improving system performance, deployment, and monitoring on Ubuntu/Linux servers.
 </li>
 </ul>
 
 Requirements:
 
 
 Core Must-Haves:
 
 <ul>
 <li>
 Professional Python development experience.
 </li>
 <li>
 Experience with browser automation tools (Playwright, Selenium, or Puppeteer).
 </li>
 <li>
 Strong knowledge of HTTP/HTTPS fundamentals, including requests, headers, cookies, and redirects.
 </li>
 <li>
 Ability to parse and work with HTML (e.g., using BeautifulSoup, lxml, or Playwright locators).
 </li>
 <li>
 Familiarity with image processing in Python (PIL/Pillow, NumPy, OpenCV).
 </li>
 <li>
 Experience building and consuming REST APIs (preferably with *FastAPI* or Flask).
 </li>
 <li>
 Proficiency in Linux/Ubuntu: running services, handling logs, basic networking.
 </li>
 <li>
 Solid understanding of Git and collaborative workflows (PRs, code reviews).
 </li>
 </ul>
 
 Nice-to-Have:
 
 <ul>
 <li>
 Experience with asynchronous programming (asyncio, Celery).
 </li>
 <li>
 Familiarity with Docker and container-based deployments.
 </li>
 <li>
 Knowledge of Redis, PostgreSQL, or MongoDB.
 </li>
 <li>
 Exposure to basic web security concepts (CORS, CSRF, authentication).
 </li>
 <li>
 Understanding of simple machine learning or computer vision approaches for classification tasks.
 </li>
 </ul>
 
 
 
</div>

Python Developer (Automation, Scraping & Web-Crawling)

Talent 360 ME

<div>
 
 Work Type:
 
 Full-time (Flexible working hours)
 
 
 
 Working Days:
 
 Saturday to Wednesday
 
 
 
 Job Summary
 
 
 
 We are looking for a Mid-Level Back-End Developer with at least 2 years of experience to build, optimize, and maintain scalable back-end systems and APIs. The role involves close collaboration with front-end, DevOps, and product teams to deliver high-performance and secure applications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and optimize back-end systems and RESTful APIs.
 </li>
 <li>
 Manage and optimize PostgreSQL (or other) databases.
 </li>
 <li>
 Write clean, maintainable, and well-documented code.
 </li>
 <li>
 Implement authentication and authorization using OAuth 2.0, JWT, or Django authentication.
 </li>
 <li>
 Debug and resolve back-end and API issues.
 </li>
 <li>
 Collaborate with cross-functional teams and participate in code reviews.
 </li>
 <li>
 Monitor system performance and implement improvements.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field.
 </li>
 <li>
 2+ years of experience as a Back-End Developer.
 </li>
 <li>
 Strong experience with Python and Django / Django REST Framework.
 </li>
 <li>
 Proficiency in PostgreSQL and SQL optimization.
 </li>
 <li>
 Experience with RESTful API design and Git.
 
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with Node.js or Flask.
 </li>
 <li>
 Familiarity with Docker, CI/CD, and cloud platforms (AWS, Azure, GCP).
 </li>
 <li>
 Experience working in Agile environments.
 </li>
 </ul>
</div>

Backend Engineer (Paython)

SAQAYA

<div>
 
 Full-Stack Engineer (Python / React)
 
 
 
 
 
 
 
 
 
 
 
 About SAQAYA:
 
 
 
 
 
 
 
 
 
 
 
 SAQAYA is a fast-growing international technology consultancy operating across the UK, Spain and Egypt.
 
 
 
 
 
 We specialise in connecting outstanding software engineers with leading UK-based clients, delivering high-impact digital products in complex, data-driven environments.
 
 
 
 
 
 Our mission is simple: build excellent technology by empowering excellent people.
 
 
 
 
 
 
 
 
 
 
 
 We are now looking for a Full-Stack Engineer who is passionate about building high-quality web applications and who genuinely loves football.
 
 
 
 
 
 You will work on products where technology meets the beautiful game &mdash; from fan-engagement platforms to data-driven football solutions.
 
 
 
 
 
 
 
 
 
 
 
 The Role
 
 
 
 
 
 As a Full-Stack Engineer, you will contribute across the full product lifecycle, working closely with product managers, designers and football-domain specialists to deliver scalable, user-focused solutions.
 
 
 
 
 
 
 
 
 
 
 
 You will play an active role in shaping features, improving performance and translating football-related concepts into reliable and intuitive software.
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 
 
 
 
 Build and maintain scalable, production-ready web applications using Python on the backend and React on the frontend.
 
 
 Design, implement and maintain RESTful APIs and backend services.
 
 
 Collaborate closely with product, design and football-domain experts to define and deliver new features.
 
 
 Translate football-related requirements into clean, intuitive and user-friendly functionality.
 
 
 Write clean, well-structured, testable and maintainable code.
 
 
 Participate in code reviews, technical discussions and solution design.
 
 
 Contribute to continuous improvement of development standards, tooling and practices.
 
 
 
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 
 
 
 Strong commercial experience with Python (Flask or FastAPI).
 
 
 Strong experience with React, including hooks, modern state management and component-based architecture.
 
 
 Solid knowledge of HTML, CSS and modern JavaScript.
 
 
 Experience working with relational databases such as PostgreSQL, MySQL or similar.
 
 
 Good understanding of Git and modern collaborative development workflows.
 
 
 Experience working with cloud platforms, ideally Microsoft Azure.
 
 
 
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 Experience working in data-driven or analytics-heavy platforms.
 
 
 Experience working in product-focused or fast-paced delivery teams.
 
 
 Personal interest or background in football, sports technology or fan-experience platforms.
 
 
 
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 A proactive engineer who takes ownership of features from idea to delivery.
 
 
 Someone comfortable working closely with non-technical stakeholders.
 
 
 A team player who enjoys sharing knowledge and contributing to a positive engineering culture.
 
 
 A genuine interest in football and how technology can enhance the sport.
 
</div>

Senior Full Stack Engineer

HireOn

<div>
 
 Senior MLOps Engineer (Onsite | Cairo, Egypt)
 
 
 
 
 Experience:
 
 5&ndash;8 Years
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Location:
 
 Cairo, Egypt (Onsite)
 
 
 
 Salary Range:
 
 80,000 EGP &ndash; 100,000 EGP per month
 
 
 
 About The Opportunity
 
 
 
 HireOn is recruiting for its reputed international client seeking a highly skilled
 
 Senior MLOps Engineer
 
 to lead the operationalization of machine learning models in production environments.
 
 
 This role requires a hands-on expert who can bridge Data Science and Cloud Engineering teams, ensuring scalable, secure, and automated ML systems on AWS infrastructure. The ideal candidate will drive end-to-end MLOps architecture, CI/CD automation, and cloud-native ML deployment strategies.
 
 
 
 Core Requirements Experience
 
 
 
 <ul>
 <li>
 5&ndash;8 years of overall experience with minimum 3+ years in MLOps or production ML environments
 </li>
 <li>
 Strong experience managing the full ML lifecycle (training, deployment, monitoring, optimization)
 </li>
 <li>
 Proven ability to work independently and collaborate across cross-functional teams
 
 
 </li>
 </ul>
 
 AWS &amp; Cloud Expertise (Mandatory)
 
 
 
 
 Hands-on Experience With
 
 
 
 Amazon SageMaker, S3, EC2, Lambda, IAM, CloudWatch, ECR, ECS, EKS
 
 
 Strong understanding of secure, scalable, and highly available AWS architecture
 
 
 
 MLOps &amp; Machine Learning
 
 
 
 <ul>
 <li>
 Model deployment and monitoring in production
 </li>
 <li>
 Experience with TensorFlow, PyTorch, or Scikit-learn
 </li>
 <li>
 Experiment tracking tools such as MLflow
 </li>
 <li>
 Model performance monitoring and drift detection
 
 
 </li>
 </ul>
 
 DevOps &amp; Automation
 
 
 
 <ul>
 <li>
 Docker and containerization
 </li>
 <li>
 CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or AWS CodePipeline
 </li>
 <li>
 Infrastructure as Code (Terraform or CloudFormation)
 
 
 </li>
 </ul>
 
 Programming &amp; Data
 
 
 
 <ul>
 <li>
 Strong Python programming expertise
 </li>
 <li>
 Experience with SQL and working knowledge of NoSQL databases
 </li>
 <li>
 Experience handling structured and unstructured datasets
 
 
 </li>
 </ul>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement scalable end-to-end MLOps pipelines
 </li>
 <li>
 Deploy and manage ML models using AWS-native services
 </li>
 <li>
 Build and maintain CI/CD pipelines for ML workflows
 </li>
 <li>
 Implement model monitoring, logging, and performance tracking
 </li>
 <li>
 Containerize ML applications and deploy on ECS/EKS
 </li>
 <li>
 Automate infrastructure using Terraform or CloudFormation
 </li>
 <li>
 Ensure system scalability, reliability, and security
 </li>
 <li>
 Troubleshoot ML pipelines and cloud infrastructure issues
 </li>
 <li>
 Collaborate closely with Data Science and Engineering teams to productionize ML solutions
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Exposure to feature stores and data versioning
 </li>
 <li>
 AWS Associate-level certification
 </li>
 <li>
 Understanding of ML governance, compliance, and model risk management
 
 
 </li>
 </ul>
 Skills: aws codepipeline,terraform,tensorflow,aws sagemaker,mlops,python,aws,ml
</div>

Senior MLOps Engineer

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