1 to 25 of 1,369 Python Jobs in the South East

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

record of building and deploying ML models into production. Prior experience leading projects or teams is a plus for a lead role Programming & ML Skills: Advanced programming skills in Python (including libraries such as pandas, scikit-learn, TensorFlow/PyTorch). Solid understanding of ML algorithms, model evaluation techniques, and optimisation. Experience with NLP techniques, generative AI or financial data More ❯

of expertise. Experience with ESRI stack, particularly ArcGIS Pro, ArcGIS Online and Enterprise. Experience with ETL technologies like FME and ESRI Pipelines/Data Interoperability. Strong programming skills in Python (including ArcPy and data science libraries), with additional experience in .NET, Java or modern JavaScript libraries. Experience with Web GIS development, including React and integration with Enterprise/PostgreSQL backends. More ❯

pressure. Experience with: Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (PowerShell, Bash, Python, Ansible, Terraform) Cyber security controls and accreditation processes Systems engineering lifecycle from design to deployment Desirable Skills Experience with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Integration More ❯

stack, contribute to infrastructure, and collaborate with multidisciplinary teams to deliver impactful digital experiences. Key Responsibilities Build GenAI applications using frameworks like LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone More ❯

data integration.* Full Stack Development: Deliver responsive, high-performance web applications using React (essential), plus Angular or Vue.js.* Back-End Expertise: Develop server-side logic with Java and Node.js; Python or Ruby experience is a bonus.* Cloud & Containers: Deploy microservices on Kubernetes and Red Hat OpenShift, leveraging Docker for containerization.* CI/CD Automation: Implement pipelines using GitHub and ArgoCD. More ❯

background with Windows and Linux operating systems Virtualisation (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Solid understanding of networking (TCP/IP, DNS, DHCP, firewalls) Automation & Scripting (PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cyber security controls and accreditation frameworks Experience across the systems engineering lifecycle Desirable: Cloud expertise (AWS, Azure) & Infrastructure as Code (Terraform, CloudFormation) Experience with enterprise integrations More ❯

related quantitative field. Essential Criteria Proven experience building and maintaining large-scale data pipelines using tools such as Databricks, Azure Data Factory, Snowflake, or similar Strong programming skills in Python and SQL, with proficiency in data engineering libraries (pandas, PySpark, dbt). Deep understanding of data modelling, ETL/ELT processes, and Lakehouse concepts. Experience with data quality frameworks, data More ❯

and Azure o Tools for scalable data processing: Kubernetes, Spark â Experience with Java 2D graphics and 3D OpenGL programming. â Experience with scientific computing libraries and frameworks: o Python: NumPy, SciPy, Pandas, TensorFlow (for ML/AI) o C Java: CUDA (for GPU acceleration) o Angular or React o Microservice: Quarkus, Spring Boot, AWS API Gateway o Docker, Kubernetes More ❯

and training data. Implements best practices for the machine learning lifecycle, including model versioning, CI/CD, containerization (Docker), orchestration (Kubernetes), and automated monitoring. Demonstrates excellent programming skills in Python and other relevant languages, with a solid foundation in software engineering principles for building production-grade systems. Applies knowledge of governance, security, and compliance requirements to ensure responsible and ethical More ❯

Hyper-V), and automation (e.g., Terraform, Ansible). Strong leadership and project management skills with the ability to manage complex projects and teams. Proficiency in scripting languages (PowerShell, Bash, Python). Familiarity with containerization technologies (Docker, Kubernetes) is a plus. Experience with security frameworks and maintaining compliance (ISO 27001, CE+). Excellent problem-solving, communication, and documentation skills. Qualifications: Bachelors More ❯

solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Experience integrating enterprise services (Active Directory, PKI, monitoring, SIEM More ❯

solutions Windows and Linux operating systems Virtualisation platforms (VMware, Hyper-V) and containerisation (Kubernetes, Docker) Networking concepts (TCP/IP, DNS, DHCP, firewalls) Automation and scripting (e.g. PowerShell, Bash, Python, Ansible, Terraform) Knowledge of cybersecurity controls and accreditation requirements Expertise with cloud platforms (AWS, Azure) and Infrastructure as Code (CloudFormation, Terraform) Experience integrating enterprise services (Active Directory, PKI, monitoring, SIEM More ❯

/SCM) . Strong knowledge of DevOps, CI/CD, and Infrastructure as Code (IaC) using tools like Terraform, Ansible , etc. Proficiency in Linux/Unix environments , scripting ( Bash, Python ), and version control ( Git ). Demonstrable experience managing Fusion quarterly updates, patches, and related integrations. Strong troubleshooting, analytical, and cross-functional communication skills. Desirable Skills Oracle Cloud Infrastructure (OCI) Certified More ❯