1 to 25 of 414 Permanent Python Jobs in the City of London

infrastructure, workflows, and operational procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI More ❯

large corporate environments. Infrastructure as Code (IaC) Tools & Methodologies: Proficiency with Ansible, Terraform, and PackerIO for provisioning and managing infrastructure. Scripting & Automation Scripting Languages: Familiarity with Bash, PowerShell, or Python to automate workflows and system tasks. Virtualization & Containerization Virtual Environments: Experience administering virtualized systems using VMWare or Docker. Container Platforms: Knowledge of Docker/Kubernetes, AWS, Azure, or OpenShift (PaaS More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one or more modern languages — Go, Python, Java, Ruby, TypeScript. Solid understanding of CI/CD , DevOps automation , and secure cloud operations . Strong communication and stakeholder management skills — able to influence at both technical and executive More ❯

and progress toward senior roles as you grow. What We’re Looking For: 🎓 A degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field 🐍 Proficiency in Python and familiarity with libraries such as TensorFlow, PyTorch, or scikit-learn 🧩 Understanding of machine learning algorithms and statistical modelling 📈 Strong problem-solving and analytical mindset 🗣 Excellent communication skills and a More ❯

Linux and Cloud Computing and some knowledge of Networks/Infrastructure. Windows Server/Active Directory - 2019/22/25. Automation and scripting experience with any of: PowerShell, Python, Bash, or similar. Problem-solving mindset with the ability to think critically under pressure Microsoft/AWS certifications or equivalent practical knowledge Awareness of Cyber Security Risks and their mitigation More ❯

based and on-premise infrastructure. Ensuring reliability and scalability of ML systems in production. What We’re Looking For 3+ years of experience in Data Science. Strong proficiency in Python and experience with ML libraries/frameworks (Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Hands-on experience implementing end-to-end ML pipelines (data ingestion, training, validation, serving). Familiarity More ❯

infrastructure-as-code tools (e.g. Terraform, Ansible) is a must Proficiency with AWS cloud tools and architecture, including deploying microservices using ECS, ECR and Fargate. Hands-on experience with Python Hands-on experience with Docker. Experience in setting up and managing Azure DevOps CI/CD pipelines Understanding of build and deployment methodologies for distributed systems Solid experience with enterprise More ❯

CD, automation, infrastructure-as-code). Experience with containerized solutions such as Kubernetes, Docker, or OpenShift. Knowledge of public cloud platforms (Azure/Azure Stack) . Strong scripting skills (Python, Bash) are a plus. Key Skills: Proven track record as a Senior Elastic Consultant delivering complex solutions. Ability to mentor and support junior colleagues effectively. Strong problem-solving and analytical More ❯

Bring 3–5 years of experience in machine learning engineering and data science. Advanced degree (PhD or Master’s) in a numerate discipline. Excellent programming skills in Java and Python for production systems. Strong foundations in machine learning and data science. Experience deploying ML models as APIs, batch jobs, or streaming services (e.g., Kafka Streams). Proficiency in containerised application More ❯

Services, Storage, Networking, Resource Groups) and awareness of AWS; hybrid integrations and migrations. DevOps & automation: Azure DevOps or GitHub Actions, Git/GitHub, scripting in PowerShell/Bash/Python; IaC with Terraform/Ansible. Security & networking: anti-virus/malware/endpoint tooling; fundamentals across Cisco switching, Palo Alto firewalls, SD-WAN (Cato/Prisma), IPSec VPN, and basic More ❯

Services, Storage, Networking, Resource Groups) and awareness of AWS; hybrid integrations and migrations. DevOps & automation: Azure DevOps or GitHub Actions, Git/GitHub, scripting in PowerShell/Bash/Python; IaC with Terraform/Ansible. Security & networking: anti-virus/malware/endpoint tooling; fundamentals across Cisco switching, Palo Alto firewalls, SD-WAN (Cato/Prisma), IPSec VPN, and basic More ❯

other engineers within the test development team. Take part in agile meetings and planning sessions, ensuring continuous refinement and effective sprint execution. What We’re Looking For: Expertise in Python, particularly building multithreaded applications with Flask, and experience in integrating with relational databases (SQL). Comfortable developing in Linux-based environments. Familiarity with modern APIs and protocols like REST, HTTP More ❯

. Experience implementing foundational cloud platforms (landing zones, IAM, VPC, networking). Proficiency with Infrastructure as Code (Terraform) and automation through CI/CD pipelines . Scripting experience (e.g. Python, Bash, PowerShell ) for automation and DevOps integration. Proven experience leading small technical teams , including mentoring and delivery oversight. Strong communication and stakeholder management skills across technical and non-technical audiences. More ❯

other engineers within the test development team. Take part in agile meetings and planning sessions, ensuring continuous refinement and effective sprint execution. What We’re Looking For: Expertise in Python, particularly building multithreaded applications with Flask, and experience in integrating with relational databases (SQL). Comfortable developing in Linux-based environments. Familiarity with modern APIs and protocols like REST, HTTP More ❯

GCP, or Azure). -> A pragmatic problem solver who can balance delivering features with maintaining code quality. ->Strong communication skills and ability to collaborate across teams. Nice to haves... ->Python experience. ->GCP experience. ->Experience with AI/ML-powered applications. ->Exposure to real-time data processing. ->Knowledge of CI/CD pipelines and automated testing. Remuneration & Benefits £50K - £65k + More ❯

GCP, or Azure). -> A pragmatic problem solver who can balance delivering features with maintaining code quality. ->Strong communication skills and ability to collaborate across teams. Nice to haves... ->Python experience. ->GCP experience. ->Experience with AI/ML-powered applications. ->Exposure to real-time data processing. ->Knowledge of CI/CD pipelines and automated testing. Remuneration & Benefits £50K - £65k + More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

LLM company, or TensorFlow/PyTorch for a computer vision company). Understanding of MLOps principles and the end-to-end machine learning lifecycle. Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos. A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage. More ❯

or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. 3 years professional experience in a cloud-related role, preferred ML-related. Strong coding skills in Python and SQL Proficiency in cloud platforms Proficiency in containerization Proficiency in orchestrating a cloud More ❯

This role will focus on you being the main POC for major clients combined with technical leadership of the wider team across various projects. Key Skills Excellent knowledge of Python and the supporting machine learning and analytics tools Happy in a client facing capacity and able to relay complex solutions simply to the clients needs Experience managing client relationships, projects More ❯

SaaS environment, balancing stability and innovation. Desirable Previous experience in SaaS or high-growth technology companies. Knowledge of containerisation (e.g., Kubernetes, Docker). Scripting/programming skills (e.g., PowerShell, Python, Bash). Seniority Level Mid-Senior level Industry Software Development IT Services and IT Consulting Business Consulting and Services Employment Type Full-time Job Functions Information Technology Skills Networking Management More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines using Google Cloud Dataflow (Apache Beam) or similar More ❯