101 to 125 of 2,189 Remote Python Jobs

a multi-cloud platform used by AI researchers and engineers worldwide. This role would suit an experienced engineer with a track record of designing and building greenfield systems. Skills: Python, Go, JavaScript GCP, AWS, Azure Kubernetes, Docker, Terraform The money is good too – up to £120k plus benefits including remote working and share options. If you're interested and would More ❯

skills: 5+ years’ experience in technical support or system administration Financial Services/Trading experience Strong knowledge of Linux & Windows environments, as well as AWS & Azure Automation & Scripting: Bash, Python, or PowerShell Familiar with monitoring tools (e.g. New Relic, Kibana) Excellent troubleshooting and incident management skills (Bonus) Exposure to CI/CD, Docker/Kubernetes, Terraform or Ansible This is More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive 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 ❯

as AWS CodePipeline, Jenkins, GitHub Actions, or GitLab CI. - Knowledge of monitoring and logging tools, including CloudWatch, ELK stack, and Prometheus/Grafana. - Strong coding skills in languages like Python, Java, Node.js, or Go. - Ability to design scalable, secure, and resilient cloud-native applications. Additional Experience Required: - Ability to act on own authority to manage and provide direction to projects More ❯

Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn). Big data technologies and cloud platforms (AWS, Azure, or GCP). Track record of deploying models into production and More ❯

Computer Science, or related field. 5+ years of experience in data science roles, with proven expertise in: Machine learning (supervised/unsupervised), time series forecasting, deep learning. Programming in Python and SQL; proficiency with ML frameworks (TensorFlow, PyTorch, scikit-learn). Big data technologies and cloud platforms (AWS, Azure, or GCP). Track record of deploying models into production and More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail - you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model - flexibility to split time between home and our London office Supportive More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive More ❯

premises. Experience testing APIs, services, and integration points , not just front-end UI. Strong analytical mindset and attention to detail — you spot issues others miss. Bonus: experience with scripting (Python, Bash, PowerShell) or IaC validation (Terraform, Ansible). What We Offer Competitive salary of £45,000 Hybrid working model – flexibility to split time between home and our London office Supportive More ❯

Participate in model validation, performance tuning, and version control processes. Stay up to date with advances in quantitative finance, computational techniques, and emerging technologies. Profile Strong programming experience in Python, C++, or C#; knowledge of NumPy, Pandas, and QuantLib advantageous. Solid understanding of mathematics, statistics, and numerical methods - including stochastic calculus, Monte Carlo simulation, and optimisation. Familiarity with derivatives pricing More ❯

with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure More ❯

with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI, CircleCI, or AWS CodePipeline). Solid understanding of containerisation (Docker, ECS, or Kubernetes). Strong scripting skills in Python , Bash , or similar. Familiarity with Linux administration , networking, and system security. Experience with monitoring, logging, and observability tools (e.g., Prometheus, Grafana, ELK stack, Datadog). Desirable Skills Exposure to infrastructure More ❯

Experience Proven experience designing and implementing cloud-based solutions (Azure, AWS, or GCP). Strong grasp of architecture principles, automation tools, containerisation, and DevOps . Hands-on experience with Python, Java, or scripting languages . Deep understanding of security and compliance frameworks in complex environments. Ability to translate complex technical concepts into clear, actionable insights for stakeholders. Excellent problem-solving More ❯

You’ll work with client teams to deliver intelligent data products, leveraging modern cloud and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion More ❯

and relational databases Linux administration and shell scripting Familiarity with network security protocols Experience with cloud platforms, ideally AWS (EC2, RDS, S3, Lambda) Desirable: Coding experience in Java, Go, Python or similar Knowledge of cross-domain technologies Experience in service management environments Practical application of observability patterns Experience with Azure Additional Information: Due to the nature of the work, successful More ❯

security components You have a strong knowledge of Linux and Virtualisation, VMWare You have experience with Infrastructure as Code tools such as Terraform or CloudFormation You can code with Python or Golang for automation You have a strong knowledge of cloud security best practices, CI/CD pipelines and DevOps practices You have experience of mentoring and providing technical leadership More ❯

security components You have a strong knowledge of Linux and Virtualisation, VMWare You have experience with Infrastructure as Code tools such as Terraform or CloudFormation You can code with Python or Golang for automation You have a strong knowledge of cloud security best practices, CI/CD pipelines and DevOps practices You have experience of mentoring and providing technical leadership 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 ❯

. 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 ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

Infrastructure Engineer, Cloud Data Engineer, DataOps Engineer, Data Pipeline Engineer, Devops Engineer or in a similar role. Proven experience with Azure cloud platforms and related architecture. Highly skilled in Python for data engineering, scripting, and automation. Strong working knowledge of Kubernetes, Docker, and cloud-native data ecosystems. Demonstrable experience with Infrastructure as Code tools (Terraform, Ansible). Hands-on experience More ❯

technical roadmaps, resource allocation, and project delivery timelines. Stay current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI More ❯

technical roadmaps, resource allocation, and project delivery timelines. Stay current with emerging technologies, especially in AI, data processing, and scalable web architectures. Tech Stack Frontend: JavaScript, React Backend: Node.js, Python Infrastructure: AWS/GCP (experience with modern cloud environments is a plus) AI/ML: Exposure to applied AI, data models, or large language models preferred Tooling: GitHub, Docker, CI More ❯