1 to 25 of 350 Remote Python Jobs in the South East

agile/lean methodologies. A strong full stack software development background with an understanding of how to engineer quality software. Considerable commercial development experience with C#/.net, Java, Python, or other development languages. Web development experience using technologies such as JavaScript, TypeScript, and React. Proven experience delivering mission critical software into a demanding production environment. Deep experience using git More ❯

the architecture and development standards of our back-end systems. Key Responsibilities System Design & Development: Design, develop, and maintain server-side applications and APIs using preferred technologies, e.g., Java, Python, Node.js . Architect scalable and high-performance systems to support business growth. Implement secure, efficient, and reliable data storage and retrieval mechanisms. Collaboration: Work closely with front-end teams to More ❯

development, and system integration. Prior experience in financial services or insurance sectors advantageous. Familiarity with AzureML, Databricks, related Azure technologies, Docker, Kubernetes, and containerization is advantageous. Advanced proficiency in Python, and familiarity with AI frameworks such as LangChain Skilled in designing and operationalising AI Ops frameworks within cloud-based production environments. Exceptional communication skills, clearly articulating technical concepts to diverse More ❯

this role if you have some of the following Proven experience in AI and machine learning, with a strong portfolio of successful projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. More ❯

mission-critical systems in national security environments • Support new team formation and DevOps capability uplift across London, Leeds, and Manchester hubs Requirements • Proficient in one or more programming languages: Python, .NET, JavaScript, or Java • Strong experience with containerisation (Docker, Kubernetes), version control (Git) • Experience delivering CI/CD pipelines with infrastructure automation • Comfortable working within Agile frameworks (Scrum, Kanban, Lean More ❯

into technical solutions. Operational Excellence: Ensure performance, scalability, and cost-efficiency across GCP environments. Required Experience Proven hands-on experience with GCP development and architecture. Strong programming skills in Python (preferred), Java, or Go. Expertise in Docker, Kubernetes, and GCP services like BigQuery, Cloud Run, Vertex AI, and Pub/Sub. Solid understanding of CI/CD, Terraform, and Git More ❯

a single page application Some experience with frontend development including HTML5/Sass Any experience with any of the following is a bonus, but not required TypeScript or Dart Python, specifically Django Angular WebGL Sass Experience with the full software lifecycle including interpretation of requirements, unit, integration and e2e testing, CI/CD pipelining Data analytics or background in Maths More ❯

Datadog) Experience working in regulated environments such as banking, fintech, or insurance Prior experience working in or contributing to a Centre of Excellence team Strong scripting skills (e.g., Bash, Python) and automation mindset Excellent communication and collaboration skills Desirable Attributes Exposure to service mesh technologies (e.g., Istio, Linkerd) Experience with secrets management and security tooling (e.g., Vault, Snyk) Familiarity with More ❯

on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. More ❯

AI/ML systems. * Previous hands-on experience as developer, programmer or data scientist would be preferred. * Proficiency in programming languages commonly used in AI/ML, such as Python, R, C, C++, or Java, and their associated security considerations. * Previous experience with ML, LLM, deep learning and data manipulation techniques, libraries, and frameworks such as TensorFlow, PyTorch, Jax, and More ❯

business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models that drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication More ❯

explore innovative problem-solving Demonstrates initiative and a proactive, ownership-driven mindset Technical Experience: Proven experience designing and maintaining secure, scalable applications using AWS, GCP, or Azure Skilled in Python and SQL, with a passion for turning data into insights Experience building and deploying CI/CD pipelines Solid background in data modelling and data transformation for analytics and AI More ❯

role You have strong AWS, EKS, Terraform and ArgoCD skills and experience You have a good knowledge of other technology in the stack: Linux, Kubernetes, Pulumi, CloudFormation, CDK, Golang, Python, JavaScript, GitOps, GitHub Actions You are comfortable and confident with running projects, providing technical leadership and mentoring others You're collaborative and pragmatic with great communication skills What's in More ❯

and containerised deployments in Docker/Kubernetes • Collaborate across DevOps teams on CI/CD pipelines and deployment automation • Develop API management policies and services using JavaScript, Node.js, or Python • Ensure secure authentication and access protocols including OAuth 2.0, OIDC, CORS , and more • Contribute to automated testing with Cypress and unit test coverage • Optimise performance, scalability, and reliability of distributed More ❯

to stakeholders in a compelling and actionable way Mentor junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B More ❯

and implement runbooks to allow support teams to attend to incidents Communicate system performance to relevant stakeholders Your key skills: L1 to L3 networking Programming languages, such as C#, Python, Perl, Java, C++ CICD tools such as Azure DevOps, GitHub Actions, Gitlab, Jenkins, TeamCity Scripting languages such as PowerShell, bash Observability/Monitoring: Prometheus, Grafana, Splunk Must have experience with More ❯

/bonus (but not essential) skills and experience: Some interest in learning and using automation tools such as Azure DevOps, Terraform, Node-Red, Packer. Scripting and automation skills (PowerShell, Python, Bash, or similar). Ability to design, implement, and maintain CI/CD pipelines for infrastructure automation. This is an exciting new role for a growing IT Infrastructure team, within More ❯

including identity and access management, encryption, and threat detection. Experience with detection contracts and monitoring tools to identify and respond to security incidents. Proficiency in scripting languages such as Python, Bash, or PowerShell. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CloudFormation, or Ansible. Excellent problem-solving skills and the ability to troubleshoot complex issues. Strong communication and More ❯

qualifications: 2+ years in a Site Reliability Engineering, DevOps, or Software Engineering role focused on platform development. 3+ years of development experience with a high-level programming language (e.g., Python, Go, JavaScript). Proven expertise in AWS architecture and operations, including services such as EC2, ECS/EKS, RDS, S3, IAM, and networking. Strong knowledge of CI/CD pipelines More ❯

or maintaining build and release pipelines using tools such as Jenkins , GitHub Actions, or similar platforms. Operating Systems : Proficiency in Linux environments, including scripting in Bash and/or Python for automation and tooling. Open Source Technologies : Familiarity with tools like Kafka , Elasticsearch , Grafana , or Prometheus for logging, monitoring, and streaming use cases. Version Control : Proficient in using Git for More ❯

Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities. Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. Proficient in SQL and Git. Ability More ❯

need you to have the following: Strong Engineering background, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science. Proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar. Excellent communication, presentation, and organisation skills Demonstrable stakeholder engagement and management experience and the ability to engage with stakeholders at various levels Whilst More ❯

Experience & Knowledge: Significant demonstratable hands-on engineering experience across M365, Azure AD, Endpoint Manager (Intune), SCCM, Autopilot, and Windows Virtual Desktop. Proven expertise in scripting and automation tools (PowerShell, Python, Graph API). Demonstrated ability to implement and maintain AI-based support systems and experience platforms. Advanced knowledge of ITSM, Agile, and integration pipelines. Strong experience managing and remediating digital More ❯

experience in software development, machine learning, or data science. Proven experience in ML topics including data engineering and time series forecasting (e.g., Prophet, ARIMA, XGBoost, LSTM). Proficiency in Python (data science stack) and software development languages like Java, JavaScript, or Python. Experience with databases (relational, time-series, key-value) such as PostgreSQL or InfluxDB, and SQL. Bonus points for More ❯

and future proof the business. You'll focus on front end components using JavaScript and Vue.js, there's a range of other tech in the stack (TypeScript, Node.js, Java, Python and of course a bit of legacy PHP!), you'll be encouraged to explore new technologies and use the best tool for the job as well as own your own More ❯