76 to 100 of 328 Python Jobs in the City of London

Data Analytics Strong skills in Data Analysis and Statistics Excellent Analytical Skills for solving complex problems Familiarity with machine learning frameworks, programming languages (e.g., Python, R), and relevant tools Effective communication skills to present data insights clearly Ability to work independently and remotely with a results-oriented mindset Experience ...

Technologies Security & Service Mesh: Vault, Consul Orchestration: Kubernetes Cloud: Various AWS services (Compute, Identity) Monitoring & Logging: Prometheus, ELK CI/CD: Jenkins Scripting: Python, Ansible, and/or Bash Networking (Advantage): Proxies and firewalls, including Fortinet and Palo Alto Location: Remote Working | 6 Months Contract ...

Terraform and Azure (AKS, networking, identity, storage) Solid experience building and managing CI/CD pipelines, ideally within Azure DevOps Strong scripting capability (Bash, Python, or PowerShell) Experience implementing monitoring and observability solutions (e.g. Prometheus, Grafana, Azure Monitor) Ability to operate in a hands-on role within a small ...

standards from the ground up Drive a strong engineering culture focused on ownership and impact What they're looking for? Strong engineering background (ideally Python/backend/distributed systems) Experience leading or building engineering teams in startup or scale-up environments Track record working on data-intensive or high ...

well-documented, reusable models that power dashboards and reporting across the business Manage data ingestion from third-party sources via connector platforms and custom Python scripts Optimise our GCP/BigQuery platform for cost, performance and reliability Build dashboards and reports end-to-end, taking full ownership of your ...

customer analytics and insight leadership. Advanced SQL capability and strong experience with Power BI or similar self service BI tools. Ability to use Python for analysis and insight generation is highly desirable. Proven experience building or supporting predictive insight, models or analytical frameworks. Strong understanding of scalable insight delivery ...

within a consumer, digital or regulated environment Advanced SQL skills and experience working with large, complex datasets in a cloud data warehouse Experience using Python or R for advanced analytics such as segmentation, clustering and cohort analysis Ability to turn ambiguous, unstructured problems into clear analytical approaches and recommendations Confidence ...

years in data engineering or data architecture, with at least 3 years in a leadership position Expert-level Databricks, Azure and SQL/Python Proven track record of refactoring legacy estates onto modern platforms without breaking things GCP and BigQuery experience is a strong advantage High EQ, comfortable presenting ...

Consumer Products, Retail, Energy, Utilities, Telecommunications or Public Sector would be useful but not essential Programming Experience - Skilled in using programming languages such as Python Cloud Expertise - Knowledge of cloud platforms and tools for data science and machine learning. Data Visualisation Experience - Utilise visualisation tools such as Power ...

candidate should have the following essential skills A minimum of 11 years of deep Linux experience (20+ years preferred) Advanced proficiency in Bash and Python, with the ability to write bespoke tools to improve system efficiency. Practical experience with AWS or Azure migrations and managing virtualised environments via VMware. ...

Science, Mathematics, Physics, Engineering) from leading global universities A strong quantitative background with deep problem-solving ability Proven experience in high-performance systems (C++, Python or similar) A track record of excellence, whether in industry, academia, or competitive environments Strong understanding of algorithms, data structures, and system design Desirable Experience ...

maintaining production-grade product features. Data & Pipelines: Experience building ingestion workflows and connecting disparate internal data sources. Stack Versatility: You are highly proficient in Python ( FastAPI ) and TypeScript ( React/Next.js ), with a solid grasp of SQL and GCP . The Profile The Practical Automator: You have a track record ...

engineering or hands-on data architecture, with at least 3 years in a leadership position. Expert level proficiency in Databricks, Azure and SQL/Python, with GCP and BigQuery experience highly desirable. A proven track record of refactoring legacy data estates and migrating them to modern platforms without disrupting business ...

deliver under pressure Comfortable juggling multiple projects and 'controlled chaos' at pace Nice to have Experience integrating Azure AI Services or OpenAI APIs Python exposure, particularly in AI or data-driven contexts Low-code/no-code tools (e.g. Webflow) for rapid prototyping Client-facing experience presenting technical roadmaps ...

Vault), and secure SDLC integration - PKI, certificate lifecycle automation, identity federation, and SSO across hybrid cloud and on-premises environments - Security automation and IaC: Python, PowerShell, Terraform, Bicep, or Sentinel analytics rules - you codify controls, you do not document them - MITRE ATT&CK coverage mapping; threat hunting, adversary emulation ...

Nice-to-have Prior experience in insurance, financial services or another regulated industry. Familiarity with claims management systems, policy administration platforms or related workflows. Python for automation, tooling or data engineering support. Experience stepping into or transitioning from an enterprise architect or solutions architect position. Active use of AI coding ...

engineering experience, ideally with at least one stint in a customer-facing or deployment role (FDE, solutions engineer, delivery engineer, technical consultant). Strong Python or TypeScript. Comfortable across cloud APIs, IAM, and event-driven architectures. You can read a Terraform stack and a CloudTrail log and tell us where ...

using AI coding tools (e.g., Codex, Claude, Copilot, Cursor) to build or ship frontend features in a professional environment Nice to have Experience with Python/Django backends Experience with Azure or other cloud platforms Experience building native visualisations (e.g. with D3, Chart.js, or similar) Experience working with design systems ...

Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . Hands-on experience ...

high-availability technical support environment Desired - Support Team Lead -(Trading, FinTech, Financial Services, FIX Protocol, Linux, Unix, SQL) Scripting experience e.g. bash/shell, python or similar Experience with Binary Protocols Dashboard creation in Grafana Previous experience with Atlassian product suite Basic networking concepts and troubleshooting TCP/UDP, telnet ...

bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies ...

bring Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). . Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...

techniques, including Generative AI, and how emergent models can extract insights from multi modal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch , TensorFlow), including taking models from experimentation into production model serving. ...