1 to 25 of 1,306 Python Jobs in the South West

expertise and performance. We expect you to have the following: Extensive professional experience in software development with experience of leading and coaching colleagues. Expertise in full-stack development using Python & C++ or equivalent (back-end) and technologies such as React, Angular, Vue.js (front-end). A degree (or equivalent professional experience) in Computer Science, Engineering, or other relevant field. Proficiency More ❯

Job Title: Senior Python Developer (Python/Django) Location: Fully Remote Job Type: Full-Time Salary 80k - 100k About the Company: A fast-growing tech company revolutionizing the e-commerce/data analytics sector with cutting-edge software solutions. Join their dynamic engineering team and contribute to innovative projects. Job Description: We're looking for a passionate Python Developer (Python … + years of experience. This role offers the opportunity to work in a fast-paced, collaborative environment and grow your skills. Key Responsibilities: Develop and maintain scalable applications using Python (Django). Build and integrate APIs and third-party services. Participate in Agile development cycles and CI/CD processes. Optimize applications for performance and scalability. Collaborate with cross-functional … teams. Requirements: Computer Science or STEM degree from a top Russell Group University (1st or 2:1). 5+ years of full-stack development experience (Python/Django). Strong experience with SQL databases (PostgreSQL/MySQL). Familiarity with DevOps tools (Docker, Kubernetes, AWS/GCP/Azure). Experience with API development and Git. More ❯

Essential: Cloud Platforms: Experience with Azure, AWS, or Google Cloud for data engineering. Cloud Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or similar. Data Modelling & Warehousing: Experience with cloud-based data architecture. CI/CD & DevOps: Knowledge of Terraform, GitHub Actions, Docker, Kubernetes. Agile & Collaboration: Ability to work in More ❯

a plus. Experience as a Full Stack Developer. Extensive Azure cloud services experience. Proficiency in front-end (HTML, CSS, JavaScript, React/Angular) and back-end languages (C#, Java, Python). Understanding of REST APIs and microservices. Experience with Git, Agile methodologies. Strong problem-solving and communication skills. Knowledge of public sector regulations. Preferred Experience with serverless, Docker, Kubernetes, CI More ❯

both batch and low latency streaming solutions. Agile Delivery: Significant experience in delivering technical solutions in an Agile environment. Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Knowledge of container technologies (Docker, Kubernetes), IaaC (Terraform) and experience More ❯

as Apache Bench, JMeter, or LoadRunner, or modern alternatives like K6, Gatling, Locust. Familiarity with BDD tools like Cucumber or SpecFlow. Skills : Proficiency in programming languages such as Java, Python, or TypeScript. Experience with scripting languages for automation tasks. Strong understanding of software testing principles and methodologies. Familiarity with version control systems like Git. Excellent problem-solving skills and attention More ❯

containerization technologies like Docker, Podman, and Buildah. Proficiency in Kubernetes and OpenShift for orchestration. Solid understanding of CI/CD principles and experience with Jenkins. Strong scripting skills (Bash, Python, Ruby). Familiarity with Elasticsearch and Apache NiFi is desirable. Desirable Certifications AWS Certifications (preferably AWS Certified DevOps Engineer - Professional or higher). Red Hat Certified Engineer (RHCE) or equivalent More ❯

Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in More ❯

as Apache Bench, JMeter, or LoadRunner, or modern alternatives like K6, Gatling, Locust. Familiarity with BDD tools like Cucumber or SpecFlow. Skills : Proficiency in programming languages such as Java, Python, or TypeScript. Experience with scripting languages for automation tasks. Strong understanding of software testing principles and methodologies. Familiarity with version control systems like Git. Excellent problem-solving skills and attention More ❯

Azure, AWS, or Google Cloud for data engineering. Cloud-Based Data Tools: Expertise in Databricks, Snowflake, BigQuery, or Synapse Analytics for scalable data solutions. Programming & Scripting: Strong knowledge of Python, SQL, Spark, or equivalent cloud technologies. Data Modelling & Warehousing: Experience with modern cloud-based data architecture and methodologies. CI/CD & DevOps: Understanding of Terraform, GitHub Actions, Docker, Kubernetes in More ❯

excellence. Influence architecture and design decisions. Mentor team members and contribute to the enhancement of national security platforms. Key Technologies & Skills Java (primary language) with exposure to JavaScript or Python Cloud platforms: AWS or Azure DevOps tooling: Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases: SQL, MongoDB, Elasticsearch Experience with agile delivery and CI/CD pipelines Experience working in secure or More ❯

architecture and design decisions, mentor team members, and contribute directly to the ongoing enhancement of national security platforms. Key Technologies & Skills Java (primary language) plus exposure to JavaScript or Python Cloud platforms : AWS or Azure DevOps tooling : Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases : SQL, MongoDB, Elasticsearch Agile delivery and CI/CD pipelines Experience working in secure or regulated environments More ❯

architecture and design decisions, mentor team members, and contribute directly to the ongoing enhancement of national security platforms. Key Technologies & Skills Java (primary language) plus exposure to JavaScript or Python Cloud platforms : AWS or Azure DevOps tooling : Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases : SQL, MongoDB, Elasticsearch Agile delivery and CI/CD pipelines Experience working in secure or regulated environments More ❯

architecture and design decisions, mentor team members, and contribute directly to the ongoing enhancement of national security platforms. Key Technologies & Skills Java (primary language) plus exposure to JavaScript or Python Cloud platforms : AWS or Azure DevOps tooling : Jenkins, GitLab, Docker, Kubernetes, OpenShift Databases : SQL, MongoDB, Elasticsearch Agile delivery and CI/CD pipelines Experience working in secure or regulated environments More ❯

Full Stack Developer. Extensive experience in Azure cloud services and related technologies. Proficient in front-end technologies (HTML, CSS, JavaScript, React or Angular) and back-end languages (C#, Java, Python, etc.). Solid understanding of RESTful APIs and microservices architecture. Experience with version control systems (Git). Familiarity with Agile/Scrum development methodologies. Excellent problem-solving skills and attention More ❯

Extensive experience in AWS cloud services, including EC2, S3, Lambda, RDS, DynamoDB, etc. Proficient in front-end technologies (HTML, CSS, JavaScript, React or Angular) and back-end languages (Java, Python, Node.js, etc.). Solid understanding of RESTful APIs and microservices architecture. Experience with version control systems (Git). Familiarity with Agile/Scrum development methodologies. Excellent problem-solving skills and More ❯

quality management, and compliance standards in secure environments Experience in managing large-scale, real-time data pipelines and ensuring their performance and reliability Strong scripting and programming skills in Python, Bash, or other relevant languages Working knowledge of cloud platforms (AWS, Azure, GCP) with a focus on data security and infrastructure as code Excellent communication skills with the ability to More ❯

managing solutions on Google Cloud Platform (GCP). Proficiency in designing and deploying scalable, highly available, and cost-optimized cloud architectures on GCP. Strong programming and scripting skills (e.g., Python, Go, Terraform, Shell scripting). Expertise in DevOps principles and practices, including CI/CD pipelines and Infrastructure as Code (IaC) using tools like Terraform or Cloud Deployment Manager. Solid More ❯

system engineering role. Expertise in at least two of the following distributions: Red Hat, CentOS, Ubuntu, or SUSE. Proven experience in automating tasks using scripting languages such as Bash, Python, or Perl. In-depth understanding of network protocols, services, and standards including TCP/IP, DNS, DHCP, NTP, and SSH. Strong knowledge of virtualization technologies (VMware, KVM) and containerization platforms More ❯

on experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Demonstrable ability to code in Python language preferably in FAST API Framework Experience across the whole Software Development Life Cycle Exposure to agile methodologies such as CI/CD, Application Resiliency, and Security Emerging knowledge of More ❯

a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning … of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J More ❯

a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning … of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J More ❯

a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning … of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J More ❯

a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning … of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J More ❯

a related field (PhD preferred but not required). 3+ years of professional experience in machine learning engineering. 2+ years of leadership or technical mentoring experience. Strong expertise in Python for machine learning (Pandas, NumPy, scikit-learn, etc.). Experience with deep learning frameworks such as TensorFlow, PyTorch, or JAX. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning … of experiment tracking tools (e.g., MLflow, Weights & Biases). Experience with model explainability techniques (e.g., SHAP, LIME). Familiarity with reinforcement learning or generative AI models. Tools & Technologies: Languages: Python, SQL (optionally: Scala, Java for large-scale systems) Data Processing: Pandas, NumPy, Apache Spark, Beam Model Serving: TensorFlow Serving, TorchServe, FastAPI, Flask Experiment Tracking & Monitoring: MLflow, Neptune.ai, Weights & Biases #J More ❯