301 to 325 of 3,783 Python Jobs in England

with purpose-built LLMs. Knowledge ofprompt engineering techniques, including designing effective prompts for different tasks, optimizing input/output formats, and leveraging techniques such as few-shot learning. Advanced Python Development Proficiency: Experience with OOP, and data-validation libraries such as Pydantic. Deep familiarity with Python and its ecosystem for AI/ML, including libraries likePyTorch, Hugging Face Transformers, andscikit … learn. Experience withdata manipulationusing libraries such asPandasandNumPy, and familiarity withparallelizationorasynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as More ❯

with a focus on latency, reliability, and observability. Contribute to and lead architecture discussions, including model orchestration, caching strategies, data storage patterns, and compute optimization. Write production code (Node.js, Python, or similar), review pull requests, and promote engineering best practices across the team. Collaborate cross-functionally with product, design, and client teams to deliver intelligent, usable features on a fast … in Computer Science, Engineering, or a related field. 7+ years of professional software development experience, ideally in backend or platform teams. Strong proficiency in backend service development in Node.js, Python, Go, or similar languages. Experience designing and operating cloud-native systems (AWS, Azure, or GCP) with a focus on scalability and resilience. Familiarity with AI/ML systems, or demonstrable More ❯

re Looking For: Proven experience as a Virtualisation Platform Engineer or similar role. Strong understanding of virtualisation platforms and container orchestration tools. Proficiency with automation and scripting (Terraform, Bash, Python). Experience with monitoring, alerting, and incident response tools. A passion for engineering excellence, automation, and operational efficiency. More ❯

re Looking For: Proven experience as a Virtualisation Platform Engineer or similar role. Strong understanding of virtualisation platforms and container orchestration tools. Proficiency with automation and scripting (Terraform, Bash, Python). Experience with monitoring, alerting, and incident response tools. A passion for engineering excellence, automation, and operational efficiency. More ❯

strong commitment to equality, diversity, and organisational values. Be flexible and willing to adapt to changing business needs. Technical Skills Essential: Linux SysAdmin (RHCSA) Infrastructure as Code (Terraform) Scripting (Python or Bash) Cloud networking (VPCs, VPNs, DNS) Containerisation (Docker, Kubernetes) Desirable: Basic database administration (MySQL, MSSQL, Postgres, etc.) AWS services (EC2, RDS, S3, CloudFormation) CI/CD tools (Ansible, Jenkins More ❯

strong commitment to equality, diversity, and organisational values. Be flexible and willing to adapt to changing business needs. Technical Skills Essential: Linux SysAdmin (RHCSA) Infrastructure as Code (Terraform) Scripting (Python or Bash) Cloud networking (VPCs, VPNs, DNS) Containerisation (Docker, Kubernetes) Desirable: Basic database administration (MySQL, MSSQL, Postgres, etc.) AWS services (EC2, RDS, S3, CloudFormation) CI/CD tools (Ansible, Jenkins More ❯

as Code (IaC) tools. Mentor junior engineers, contribute to DevOps practices, and support incident response and service improvement initiatives. Technical Skills Azure Tenant Ansible Containerisation (Docker/Podman) Powershell Python Linux Hypervisor (Proxmox) PKI zScaler DNS IP management GitHub CI/CD pipelines If you're interested in the above, apply or reach out to Reasonable Adjustments: Respect and equality More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

experience with Jenkins, ArgoCD, or similar CI/CD tools and a strong understanding of DevOps methodologies. Automation: Proficiency with automation tools and scripting languages such as Ansible, Terraform, Python, and Bash. Cloud Platforms: Experience with various IaaS platforms like AWS and Azure. Linux: Strong Linux administration skills are essential More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

to ensure seamless integration of ML models into products. Contribute to improving infrastructure, tooling, and best practices for ML development and deployment. Skills & Experience Essential: Strong programming skills in Python (and frameworks such as PyTorch, TensorFlow, or Scikit-learn). Proven experience in developing and deploying machine learning models in production. Solid understanding of data structures, algorithms, and software engineering More ❯

Test is essential TECHNICAL SKILLS Essential Infrastructure as Code (IaC): Experience with IaC tools like Terraform Automation and Scripting: Proficiency in scripting languages for automation tasks. Strong experience with Python and/orJava preferred. CI/CD Pipelines: Experience with CI/CD tools such as Ansible, Jenkins, GitLab CI, GitPodor Concourse CI. Networking: Knowledge of cloud networking concepts, including More ❯

Qualifications Experience 6+ years of DevOps/SRE experience in cloud environments (AWS, Azure, or GCP). Expertise in Kubernetes, Docker, Helm, and microservices architectures. Strong scripting skills in Python, Bash, or Typescript. Proven track record of automating build, test, and deployment workflows. Clear communicator with a security first mindset. Join a purpose-driven startup focused on improving patient outcomes. More ❯

GCP) Experience with CI/CD tooling and pipelines (Jenkins ideal) Familiarity with infrastructure-as-code tools (Terraform, Ansible) Hands-on experience with containerisation (Docker, Kubernetes, Helm) Scripting knowledge (Python, Bash, etc.) Excellent communication and stakeholder engagement skills The Benefits: Salary up to £90,000 + bonus Hybrid working model Flexible working hours 25 days annual leave plus bank holidays More ❯

We're Looking For Strong experience across the ML lifecycle, including deploying models built in frameworks such as TensorFlow, PyTorch or Scikit-learn. Solid software engineering skills, with strong Python programming experience. Hands-on knowledge of cloud platforms (AWS, Azure, or GCP), containers, Docker, and Kubernetes. Understanding of probability, statistics, and key supervised/unsupervised learning methods. Excellent communication skills More ❯

event-driven architectures Familiarity with containerisation technologies (Docker, Kubernetes) Experience with Azure DevOps or similar CI/CD platforms Understanding of security best practices and OWASP guidelines Experience with Python or other scripting languages Knowledge of data warehousing and ETL processes Previous experience in fintech or content creation platforms Benefits Hybrid role - 1-2 days in office and the rest More ❯

depth with strategic thinking and know how to inspire others through your work. Skills: Proven experience leading high-performing engineering teams Deep expertise in one major tech stack (Java, Python, Node.js, .NET) and flexibility across others Strong background in API and data engineering Fluent in modern delivery practices: agile, CI/CD, DevOps, cloud-native development Experience across major cloud More ❯

experience with Jenkins, ArgoCD, or similar CI/CD tools and a strong understanding of DevOps methodologies. Automation : Proficiency with automation tools and scripting languages such as Ansible, Terraform, Python, and Bash. Cloud Platforms : Experience with various IaaS platforms like AWS and Azure. Linux : Strong Linux administration skills are essential All profiles will be reviewed against the required skills and More ❯

experience with Jenkins, ArgoCD, or similar CI/CD tools and a strong understanding of DevOps methodologies. Automation : Proficiency with automation tools and scripting languages such as Ansible, Terraform, Python, and Bash. Cloud Platforms : Experience with various IaaS platforms like AWS and Azure. Linux : Strong Linux administration skills are essential All profiles will be reviewed against the required skills and More ❯

experience with Jenkins, ArgoCD, or similar CI/CD tools and a strong understanding of DevOps methodologies. Automation : Proficiency with automation tools and scripting languages such as Ansible, Terraform, Python, and Bash. Cloud Platforms : Experience with various IaaS platforms like AWS and Azure. Linux : Strong Linux administration skills are essential All profiles will be reviewed against the required skills and More ❯

on experience with CI/CD pipelines using tools such as GitLab CI, Jenkins, or ArgoCD. Knowledge of containerisation and orchestration , including Docker and Kubernetes. Strong scripting skills in Python, Bash, or PowerShell for automation. Understanding of AWS networking concepts , including VPCs, subnets, and security groups. Experience with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or CloudWatch. More ❯

DevOps Tooling: Jenkins, Git, ServiceNow, Trivy, Terraform Streaming & Messaging: Apache Kafka (including Kafka Replication) Data Layers: PostgreSQL, Redis, RDLs Automation: IaC, pipeline build automation, event relay tooling Scripting: Bash, Python, Groovy, Lambda functions Responsibilities Run, manage, and continuously evolve the AWS and secure on-premise environments to ensure availability. Lead Level 3 (L3) production support and non-production environment maintenance More ❯

Dev/Yarn/npm Platform - Docker/Nginx Desirable Technical Skills Serverless AWS/GCP - API Gateway/Lambda Orchestration Stack - Kubernetes/Nomad Experience with Java and Python Education & Experience Bachelor's degree in computing, science, or engineering. At least 3 years of software development experience in a commercial environment. Track record of delivery and support of business More ❯