python engineer

DevsOrb

Job OverviewWe are looking for a talented and detail-oriented Python engineer with 3&ndash;5 years of experience to join our team. The ideal candidate will be responsible for designing, developing, and deploying machine learning models and data-driven solutions. You will work closely with data scientists, engineers, and product teams to build scalable ML systems that deliver business value.Key Responsibilities<ul><li>Design, develop, and deploy machine learning models and algorithms</li><li>Build and maintain scalable data pipelines and ML workflows</li><li>Perform data preprocessing, feature engineering, and model evaluation</li><li>Integrate machine learning models into production systems and APIs</li><li>Optimize models for performance, scalability, and accuracy</li><li>Work with large datasets and ensure data quality and integrity</li><li>Collaborate with cross-functional teams including data analysts, engineers, and product managers</li><li>Monitor and maintain deployed models, including retraining and performance tracking</li><li>Document processes, models, and system architecture</li><li>Stay up to date with the latest advancements in machine learning and AI</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field</li><li>3&ndash;5 years of hands-on experience in Python and machine learning development</li><li>Strong proficiency in Python and libraries such as:</li></ul>NumPy, PandasScikit-learnTensorFlow or PyTorch<ul><li>Solid understanding of machine learning algorithms (supervised &amp; unsupervised learning)</li><li>Experience with data preprocessing, feature engineering, and model tuning</li><li>Strong knowledge of statistics and probability concepts</li><li>Experience in building and consuming REST APIs (Flask/FastAPI/Django)</li><li>Familiarity with databases (SQL/NoSQL)</li><li>Experience with version control systems (Git)</li><li>Understanding of software development best practices and SDLC</li></ul>Work Location: In person

Python Engineer

Vesynta

<div>Vesynta
Vesynta is an investor-backed precision medicine company based within the London Cancer Hub. We are building clinical decision support software that personalises dosing of critical therapies at the point of care which provide clinicians with access to data-backed pharmacology models; resulting in fewer toxic side effects, and significantly improved treatment efficacy. We exist to support patients (children, but also women and those with diverse ethnic heritages) who have been traditionally under-represented and poorly served by traditional, coarse dosing methodologies. Our team is fast-paced, results-oriented, and mission-driven.
The Job
As a Senior Python Engineer, you will develop the core computational modules for our pharmacometrics engine. You will be a dedicated pure Python expert responsible for translating complex scientific models into production-ready software to personalise dosing for children undergoing cancer care.
Key Responsibilities:<ul><li>
High-Performance Python: Write custom, highly efficient modules using vectorised operations (numpy, pandas, attrs) to calculate critical clinical metrics.</li><li>
System Design &amp; Integration: Engage directly with internal software design processes, actively contributing to and following Mermaid.js UML and flow charts for architecture and pipelines.</li><li>
Math to Code: Read and translate advanced mathematical equations into robust code, backed by strict unit testing against hand-calculated &lsquo;golden&rsquo; datasets.</li><li>
Cross-Language APIs: Own the integration of Python models with an industry-standard R backend (via rpy2), exposing them securely through FastAPI and gRPC.</li></ul>
The Products
Our web, mobile and Electronic Health Record-integrated applications offer best-in-class actionable precision dosing insights to healthcare professionals, supporting the end-to-end process of Therapeutic Drug Monitoring and Model Informed Precision Dosing. With these, the primary users (hospital-based clinicians, pharmacists and nurses) are able to provide patients with enhanced and personalised care across several therapeutic areas including antibiotics, chemotherapeutics and immunosuppressants.
Recruitment Process
We conduct our entire recruitment process online to ensure fairness and accessibility for all candidates. Each stage is distinct and focuses on different attributes. The process is intended to be efficient (typically taking around 2 weeks to complete) - some stages are particularly quick to schedule and progress through. Here's a breakdown:<ul><li>
Application Screening: A review of your CV by our team to assess your experience and high-level fit against the key role requirements.</li><li>
Initial Screening Call: A brief introductory chat via Google Meet to discuss your background, expectations, and mutual alignment with the role.</li><li>
Technical Challenge: A take-home Python coding assignment sent via email to evaluate your technical approach and problem-solving skills at your own pace.</li><li>
Final Interview: A two-part session consisting of an in-depth technical evaluation (discussing hard skills and logic) and a conversational culture-fit exploration.</li><li>
Selection &amp; Offer: We make a final decision based on a comprehensive review of all stages and extend a formal offer to join the team.</li></ul>
Agencies and Recruiters
Vesynta is managing this recruitment process directly and we are only accepting applications from candidates themselves. We do not accept unsolicited CVs or candidate profiles from recruitment agencies. Any unsolicited submissions will not be deemed an introduction, will not form the basis of any contractual agreement (implied or otherwise), and Vesynta will not be bound by any agency terms and conditions. We reserve the right to contact and hire any candidate whose details have been shared with us unsolicited, without any financial obligation or finder&rsquo;s fee to the submitting agency. 
Requirements 
Essential:<ul><li>
5+ years of backend software engineering focusing on computationally heavy, pure Python environments.</li><li>
Expert-level Python: Deep knowledge of the Python Data Model, strict typing protocols (mypy), memory lifecycle management (GC, profiling via tracemalloc), and state management utilizing immutability (attrs) and caching strategies (functools).</li><li>
Scientific Libraries: High proficiency in NumPy, SciPy, and Pandas for vectorization, data structures, and optimized mathematical execution.</li><li>
Math Translation &amp; Unit Testing: Proven ability to translate advanced mathematical equations and scientific pseudocode into performant, rigorously unit-tested algorithms directly from logic specifications.</li><li>
System Documentation: High comfort level reading from, building, and contributing directly to Mermaid.js UML and flow charts to govern architectural decisions.</li></ul>
Desirable:<ul><li>
Experience designing, maintaining, or scaling RESTful endpoints using FastAPI and configuring gRPC interfaces for high-performance communication.</li><li>
Familiarity with R and prior experience employing rpy2 (or analogous FFI bridges) to invoke non-Python scientific kernels from a Python ecosystem.</li><li>
Prior work in life-sciences, pharmacometrics, bioinformatics, quantitative finance, or domains featuring rigorous numerical and mathematically validated software pipelines.</li></ul>
If you&rsquo;re passionate about our mission and confident you can make a significant contribution, we encourage you to apply (even if you don&rsquo;t perfectly match every requirement). While this posting is for a Senior Python Engineer, we may, on occasion, identify exceptional candidates who are a strong fit for our team but whose experience aligns more closely with a different role. In such cases, we may discuss alternative opportunities within Vesynta.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 
Benefits 
<ul><li>
Impact Opportunity to create, and deliver real-world impact for children who are critically ill.</li><li>
Flexibility Flexible working policy, where team well-being and quality of work are prioritised.</li><li>
Growth: Opportunities for professional development, mentorship, open-source contributions, and shaping our technical direction.</li><li>
Support and Culture Independent HR, TOIL provision, Employee Assistance Programme (ensuring personal and professional well-being) and structured parental leave packages.</li></ul></div>

Senior Python Engineer (remote) - Healthtech (Precision Medicine)

Skm Group

We&rsquo;re looking for a Senior Python Engineer with strong FastAPI and async Python expertise to build scalable, high-performance backend services. You&rsquo;ll design robust APIs, work with modern cloud infrastructure (Azure preferred), and collaborate closely with frontend, data, and product teams to deliver end-to-end solutions.Experience with AI/LLM integrations is a plus, and comfort using AI coding tools is expected in our fast-paced engineering environment.What You&rsquo;ll Do<ul><li>Design, build, and scale RESTful APIs using FastAPI / Flask with async patterns</li><li>Develop secure services using OAuth2, JWT, and data privacy best practices</li><li>Optimise PostgreSQL schemas, queries, and performance (incl. connection pooling)</li><li>Containerise and deploy services using Docker and cloud-native tooling (Azure preferred)</li><li>Build and maintain CI/CD pipelines and support cloud deployments</li><li>Collaborate with frontend, data science, and product teams on integrated solutions</li><li>Integrate external services, including AI/ML and LLM-based APIs where applicable</li></ul>What We&rsquo;re Looking For<ul><li>Strong Python engineering background with production experience in FastAPI and async systems</li><li>Solid understanding of backend architecture, RESTful design, and data modelling</li><li>Hands-on experience with PostgreSQL and performance tuning</li><li>Experience with cloud deployments (Azure preferred; AWS/GCP acceptable)</li><li>Strong knowledge of Docker, microservices, and CI/CD workflows</li><li>Comfortable using AI coding assistants (e.g., Copilot, Cursor)</li><li>Pragmatic mindset with strong collaboration skills and ability to work across multiple projects</li></ul>What We Offer<ul><li>Attractive salary</li><li>Large freedom and real influence</li><li>No unhealthy competition, team approach to meeting challenges</li><li>Remote-first, flexible working culture</li><li>Company apartments in cool cities across Europe: work and enjoy a memorable getaway</li></ul>About UsWe are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.Job Type: Full-timePay: Up to 300,000.00TRY per monthExperience:<ul><li>Python: 4 years (Required)</li></ul>Work Location: Remote

Senior Python Engineer (FastAPI / Backend) [ag288]

<div>
 
 Vesynta
 
 
 
 Vesynta is an investor-backed precision medicine company based within the London Cancer Hub. We are building clinical decision support software that personalises dosing of critical therapies at the point of care which provide clinicians with access to data-backed pharmacology models; resulting in fewer toxic side effects, and significantly improved treatment efficacy. We exist to support patients (children, but also women and those with diverse ethnic heritages) who have been traditionally under-represented and poorly served by traditional, coarse dosing methodologies. Our team is fast-paced, results-oriented, and mission-driven.
 
 
 
 The Job
 
 
 
 As a
 
 Senior Python Engineer
 
 , you will develop the core computational modules for our pharmacometrics engine. You will be a dedicated pure Python expert responsible for translating complex scientific models into production-ready software to personalise dosing for children undergoing cancer care.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 High-Performance Python: Write custom, highly efficient modules using vectorised operations (numpy, pandas, attrs) to calculate critical clinical metrics
 </li>
 <li>
 System Design &amp; Integration: Engage directly with internal software design processes, actively contributing to and following Mermaid.js UML and flow charts for architecture and pipelines
 </li>
 <li>
 Math to Code: Read and translate advanced mathematical equations into robust code, backed by strict unit testing against hand-calculated &lsquo;golden' datasets
 </li>
 <li>
 Cross-Language APIs: Own the integration of Python models with an industry-standard R backend (via rpy2), exposing them securely through FastAPI and gRPC
 
 
 </li>
 </ul>
 
 The Products
 
 
 
 Our web, mobile and Electronic Health Record-integrated applications offer best-in-class actionable precision dosing insights to healthcare professionals, supporting the end-to-end process of Therapeutic Drug Monitoring and Model Informed Precision Dosing. With these, the primary users (hospital-based clinicians, pharmacists and nurses) are able to provide patients with enhanced and personalised care across several therapeutic areas including antibiotics, chemotherapeutics and immunosuppressants.
 
 
 
 Recruitment Process
 
 
 
 We conduct our
 
 entire recruitment process online
 
 to ensure fairness and accessibility for all candidates. Each stage is distinct and focuses on different attributes. The process is intended to be efficient (typically taking around 2 weeks to complete) - some stages are particularly quick to schedule and progress through. Here's a breakdown:
 
 
 <ul>
 <li>
 Application Screening: A review of your CV by our team to assess your experience and high-level fit against the key role requirements
 </li>
 <li>
 Initial Screening Call: A brief introductory chat via Google Meet to discuss your background, expectations, and mutual alignment with the role
 </li>
 <li>
 Technical Challenge: A take-home Python coding assignment sent via email to evaluate your technical approach and problem-solving skills at your own pace
 </li>
 <li>
 Final Interview: A two-part session consisting of an in-depth technical evaluation (discussing hard skills and logic) and a conversational culture-fit exploration
 </li>
 <li>
 Selection &amp; Offer: We make a final decision based on a comprehensive review of all stages and extend a formal offer to join the team
 
 
 </li>
 </ul>
 
 Agencies and Recruiters
 
 
 
 Vesynta is managing this recruitment process directly and we are only accepting applications from candidates themselves. We do not accept unsolicited CVs or candidate profiles from recruitment agencies. Any unsolicited submissions will not be deemed an introduction, will not form the basis of any contractual agreement (implied or otherwise), and Vesynta will not be bound by any agency terms and conditions. We reserve the right to contact and hire any candidate whose details have been shared with us unsolicited, without any financial obligation or finder's fee to the submitting agency.
 
 
 
 Requirements
 
 
 
 
 Essential:
 
 
 
 <ul>
 <li>
 5+ years of backend software engineering focusing on computationally heavy, pure Python environments
 </li>
 <li>
 Expert-level Python: Deep knowledge of the Python Data Model, strict typing protocols (mypy), memory lifecycle management (GC, profiling via tracemalloc), and state management utilizing immutability (attrs) and caching strategies (functools)
 </li>
 <li>
 Scientific Libraries: High proficiency in NumPy, SciPy, and Pandas for vectorization, data structures, and optimized mathematical execution
 </li>
 <li>
 Math Translation &amp; Unit Testing: Proven ability to translate advanced mathematical equations and scientific pseudocode into performant, rigorously unit-tested algorithms directly from logic specifications
 </li>
 <li>
 System Documentation: High comfort level reading from, building, and contributing directly to Mermaid.js UML and flow charts to govern architectural decisions
 
 
 </li>
 </ul>
 
 Desirable:
 
 
 
 <ul>
 <li>
 Experience designing, maintaining, or scaling RESTful endpoints using FastAPI and configuring gRPC interfaces for high-performance communication
 </li>
 <li>
 Familiarity with R and prior experience employing rpy2 (or analogous FFI bridges) to invoke non-Python scientific kernels from a Python ecosystem
 </li>
 <li>
 Prior work in life-sciences, pharmacometrics, bioinformatics, quantitative finance, or domains featuring rigorous numerical and mathematically validated software pipelines
 
 
 </li>
 </ul>
 If you're passionate about our mission and confident you can make a significant contribution,
 
 we encourage you to apply (even if you don't perfectly match every requirement)
 
 . While this posting is for a Senior Python Engineer, we may, on occasion, identify exceptional candidates who are a strong fit for our team but whose experience aligns more closely with a different role. In such cases, we may discuss alternative opportunities within Vesynta.
 
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Impact Opportunity to create, and deliver real-world impact for children who are critically ill
 </li>
 <li>
 Flexibility Flexible working policy, where team well-being and quality of work are prioritised
 </li>
 <li>
 Growth: Opportunities for professional development, mentorship, open-source contributions, and shaping our technical direction
 </li>
 <li>
 Support and Culture Independent HR, TOIL provision, Employee Assistance Programme (ensuring personal and professional well-being) and structured parental leave packages
 </li>
 </ul>
</div>

Radius Interior Design

We are seeking a highly skilled and motivated AI Engineer to join our innovative team. The ideal candidate is a Python expert with a passion for artificial intelligence and a proven track record of building and deploying robust, scalable applications. You will be at the forefront of developing cutting-edge AI-powered solutions, from creating intelligent chatbots to integrating sophisticated large language models (LLMs).Key Responsibilities<ul><li>Develop and Maintain APIs: Design, build, and deploy high-performance, scalable APIs using Python frameworks such as Django, Flask, or FastAPI.</li><li>AI Model Integration: Integrate and fine-tune open-source AI models from platforms like Hugging Face. You will also be responsible for integrating third-party services, including the OpenAI API, to build advanced AI applications.</li><li>Chatbot and LLM Development: Architect, build, and deploy intelligent chatbots and other applications leveraging Large Language Models (LLMs).</li><li>Deployment and DevOps: Containerize applications using Docker and deploy them on cloud platforms (e.g., AWS, GCP, Azure). You will also manage and improve our CI/CD pipelines to ensure smooth and efficient deployment cycles.</li><li>Version Control: Utilize GitHub for version control, collaboration, and code reviews, maintaining high standards for code quality and documentation.</li></ul>Qualifications and Skills<ul><li>Experience: A minimum of 2+ years of professional experience in Python development.</li><li>Python Mastery: Expert-level proficiency in Python and hands-on experience with at least one of the following web frameworks: Django, Flask, or FastAPI.</li><li>DevOps &amp; Cloud: Demonstrable experience with Docker for containerization and deploying applications on a major cloud provider (AWS, Google Cloud, Azure). Solid understanding of Git/GitHub workflows and CI/CD principles.</li><li>AI and Machine Learning: Strong familiarity with the AI landscape, including hands-on experience with the Hugging Face ecosystem (Transformers, Datasets, etc.) and integrating LLMs.</li><li>API Integration: Proven experience integrating external APIs, specifically the OpenAI API, into applications.</li><li>Problem-Solving: Excellent analytical and problem-solving skills with the ability to work independently and as part of a team.</li></ul>If you are a forward-thinking engineer who is excited about shaping the future of AI, we encourage you to apply!Job Type: Full-timePay: AED6,000.00 - AED10,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>Please confirm you have reviewed and agree with the salary range by typing 'Yes' below.</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI: 2 years (Required)</li><li>Python: 2 years (Required)</li></ul>Location:<ul><li>Abu Dhabi (Preferred)</li></ul>Work Location: In person

AI Engineer

SIDRAM TECHNOLOGIES

<div>
 
 Role: AI/ML Engineer - Python &amp; AWS
 
 
 
 
 Location- Reston, VA(In Person Interview at Herndon VA )
 
 
 
 
 Duration: Fulltime/Contract
 
 
 
 
 Onsite: 5 Days Onsite
 
 
 
 
 Job Description
 
 
 
 <ul>
 <li>
 Core Responsibilities (AI/ML, Python, AWS, GenAI)
 </li>
 <li>
 Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
 </li>
 <li>
 Build and maintain cloud native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, DynamoDB, RDS/Aurora, SageMaker, and Bedrock.
 </li>
 <li>
 Develop high performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real time analytics.
 </li>
 <li>
 Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM powered automation (chatbots, summarization, semantic search, anomaly detection).
 </li>
 <li>
 Implement CI/CD pipelines (GitHub/GitLab/CodePipeline) and infrastructure as code (Terraform/CloudFormation) for reliable, automated deployments.
 </li>
 <li>
 Build robust MLOps workflows, including model versioning, containerized training/inference, automated retraining, monitoring, and performance tuning.
 
 
 </li>
 </ul>
 
 Rachael
 
 
 
 
 IT Services | Development | Staffing
 
 
 
 
 URL: http:/www.sidramtech.com |
 
 
 
 
 Email: rachael@sidramtech.com
 
 
 
 
 Direct: 4705239688
 
 
 
 
 Led by 25+ Years of Industry Experience
 
</div>

AI/ML Engineer - Python &amp

Alignerr

<div>
 
 About The Role
 
 
 
 What if your Python expertise could directly shape the infrastructure powering next-generation AI? We're looking for a Senior Python Full-Stack Engineer to build and optimize the data pipelines, annotation tooling, and evaluation systems that leading AI labs depend on to train and improve their models.
 
 
 This is a fully remote contract role working on real production systems &mdash; not toy projects. You'll be embedded alongside data, research, and engineering teams doing meaningful, high-visibility work at the frontier of AI development.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 20&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design, build, and optimize high-performance Python systems supporting large-scale AI data pipelines and evaluation workflows
 </li>
 <li>
 Develop full-stack tooling and backend services for data annotation, validation, and quality control
 </li>
 <li>
 Identify and fix bottlenecks, edge cases, and reliability issues across production Python codebases
 </li>
 <li>
 Collaborate directly with data, research, and engineering teams to support model training and benchmarking
 </li>
 <li>
 Participate in synchronous design reviews to iterate on architecture and implementation decisions
 </li>
 <li>
 Improve performance, safety, and scalability across existing infrastructure
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Native or fluent English speaker with clear written and verbal communication skills
 </li>
 <li>
 5+ years of professional experience writing production-grade Python for data engineering
 </li>
 <li>
 Strong full-stack developer background with solid systems programming fundamentals
 </li>
 <li>
 Proficient with workflow orchestration tools for managing complex dependency graphs
 </li>
 <li>
 Experienced with dataframe processing libraries and cloud data warehouse SDKs
 </li>
 <li>
 Able to commit reliably to 20&ndash;40 hours per week
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Prior experience with data annotation, data quality pipelines, or evaluation systems
 </li>
 <li>
 Familiarity with AI/ML workflows, model training, or benchmarking infrastructure
 </li>
 <li>
 Experience with distributed systems or developer tooling
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs at the frontier of the field
 </li>
 <li>
 Fully remote and flexible &mdash; work from wherever you do your best thinking
 </li>
 <li>
 Freelance autonomy with the structure and consistency of meaningful, ongoing technical work
 </li>
 <li>
 Make a direct, tangible impact on the systems that shape how AI models learn and improve
 </li>
 <li>
 Potential for extended engagement and expanded scope as projects evolve
 </li>
 </ul>
</div>

Data Platform Engineer (Python)

Search 7857+ Python engineer jobs near you this May. New roles added regularly across leading industries. Apply today.

7857 python engineer jobs Near Me

Python Engineer

Senior Python Engineer (remote) - Healthtech (Precision Medicine)

Senior Python Engineer (FastAPI / Backend) [ag288]

Senior Python Engineer (remote) - Healthtech (Precision Medicine)

AI Engineer

AI/ML Engineer - Python &amp

Data Platform Engineer (Python)