101 to 125 of 1,026 Python Jobs in London

or GCP) Solid understanding of networking concepts (TCP/IP, DNS, routing, VPNs, firewalls). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Scripting skills including Python and React. Expereince of working within an Agile environment including using Jira and ideally SAFe scaled Agile expereince. Ability to build automated pipelines and orchestration frameworks for hybrid environments (on More ❯

consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance More ❯

consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance More ❯

be joining the innovative Information Security Cybertech Engineering team as a full stack software engineer in a global team responsible for developing web applications (Java/Angular), data engineering (Python) and solutions with third party products. You will be working in a collaborative and inclusive fast-paced environment that leverages agile approaches to deliver solutions quickly. You will work directly More ❯

Hands-on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership More ❯

data architecture, ideally in customer-centric domains such as CRM, CDP, or marketing analytics. Strong knowledge of cloud platforms (Azure, GCP), data warehousing, and ETL tools. Proficiency in SQL, Python, and data modelling techniques. Experience with customer data platforms (e.g., Salesforce CDP, Redpoint), MDM, and real-time data processing. Understanding of data privacy, consent management, and regulatory compliance. Excellent communication More ❯

s or master’s degree in a STEM subject (Mathematics, Computer Science or Engineering) Experience working in a data science or consulting role In-depth experience of working with Python and Pandas An entrepreneurial spirit and drive to work in an early stage start-up A curious mindset to understand how we can improve things and better help our clients More ❯

have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process) Excellent knowledge of Python includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain andRAGAS. Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will More ❯

the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem-solving, and analysis skills Excellent coding skills in Python Proficiency with Git, AWS, Azure for remote model development and deployment Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office More ❯

Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or PyTorch. You possess strong Python skills and solid experience in software engineering best practices. You bring hands-on experience with cloud platforms and infrastructure (e.g., AWS, Azure, GCP), including architecture and security. You've worked More ❯

performance. Actively engage in troubleshooting and incident response to address production issues, continually learning from these experiences to improve future resilience. Design, develop, and maintain full-stack applications using Python, Flask, FastAPI, AWS, Angular, React and SQL databases. Optimize application performance, troubleshoot and resolve complex technical issues. Stay current with industry trends and emerging technologies, advocating for their application when More ❯

Linux system administration or SRE roles Proven experience managing large-scale infrastructure environments Strong troubleshooting and performance tuning skills at the infrastructure level Basic scripting/automation experience (Bash, Python) Familiarity with IaC tools (e.g., Ansible, Puppet) Knowledge of distributed systems and container orchestration (Kafka, Kubernetes, etc.) Excellent communication and problem-solving skills Location This role is based in the More ❯

building and maintaining high-performance, distributed systems in production. Required Technical Skills ? A minimum of 5 years of production experience with Go (Golang). Experience in other languages (e.g., Python, Node.js) is valued, but will not replace this core Go requirement. ? Strong, demonstrable experiefnce with real-time, low-latency data processing. You obsess over milliseconds and understand the trade-offs. More ❯

of data stores, their management and optimisation, (we've got PostgreSQL, Elasticsearch, Redis and DynamoDB behind our tooling and apps) Experience using or managing infrastructure-as-code, particularlyTerraform Good Python and shell-scripting knowledge in order to work with our tooling pipelines Proficient with containers and container orchestration (we currently use Docker containers running on EKS) Expertise in logging and More ❯

increase productivity and enhance decision making processes within the role Technology We're pragmatic about our technology choices. These are some of the things we use at the moment: Python PostgreSQL, BigQuery, MySQL TypeScript, React, styled-components Jest, React Testing Library, Cypress, pytest AWS, GCP ECS Fargate, Docker, Terraform, GitHub Actions How we expect you to work We expect you More ❯

or engineering or equivalent experience 6 to 7 years of professional experience in a data engineering/analytics role Experience with building and managing KDB based data.analytics Experience with Python/Java/C++ based large scale streaming data analytics and storage solutions Experience with Equities transaction and market data, Transaction Cost Analytics Strong communication skills and the ability to More ❯

outputs Ability to adapt quickly to changing environments and priorities, maintaining effectiveness in dynamic situations Proficiency using SQL Server in a highly transactional environment. Experience in either C# or Python/PySpark for data engineering or development tasks. Strong understanding of DevOps principles and experience with relevant tools e.g., Azure DevOps, Git, Terraform for CI/CD, automation, and infrastructure More ❯

Ready to Build the Future of AI with Us? Ready to help enterprises. At Neologik.ai , we're not just keeping up with the AI revolution - we're fueling it. We're a high-velocity team on a mission to redefine More ❯

Senior NodeJS developers to join a 6 month project. Inside IR35Remote (1x every 6 weeks to London/Manchester/Newcastle office)SC eligible Around £500 per day- Node.js- Python- AWS - Serverless/EC2/SQS- Containerisation - EKS- IAC – Terraform, Ansible- CI/CD – Gitlab- Monitoring – Prometheus, Grafana, Alert Manager- Mentor/leadership experience More ❯

you to have experience in some of the following tech stack and be proactive in learning new technologies. You will have a learning and development budget to support this. Python, Java, TypeScript, JavaScript React, Angular, React Kubernetes (k8s) Docker AWS, Azure Elasticsearch, MERN, Neo4J Benefits Excellent company benefits including significant pension contributions, BUPA, equity and training allowance. More ❯

the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user journey More ❯

the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour - strong stakeholder engagement skills, providing true consultancy and leading the user journey More ❯

and scalability. Partner with stakeholders to scope new projects and identify automation opportunities. Skills & Experience: Proven experience developing digital or media-focused technology solutions. Strong programming skills (JavaScript, TypeScript, Python, or similar). Experience with cloud platforms (preferably Google Cloud Platform) and serverless architecture. Advanced SQL and data warehousing skills (e.g. BigQuery). Familiarity with front-end frameworks such as More ❯

team. Key skills required. Cloud infrastructure and Kubernetes Experience managing BareMetal Kubernetes GitOps workflows CI/CD including Terraform/ArgoCD/Ansible. Linux or Ubuntu Git Desired skills: Python scripting at a high level Comfortable deploying self-managed Kubernetes For more information, please contact Charles Jenson Recruitment. More ❯

/Scala) and related tools to ensure quality and consistency. Utilize Unity Catalog, Delta Lake, Spark SQL, and best practices for Databricks development, optimization, and deployment. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from multiple sources and formats (CSV, JSON, Parquet, Delta) for downstream analytics, dashboards, and reporting. Apply Azure Purview for governance and quality checks. Monitor More ❯