26 to 50 of 1,854 Python Jobs in London

office) SC Cleared: Required Essential Skills & Experience: 10+ years of experience in data engineering, with at least 3+ years of hands-on experience with Azure Databricks. Strong proficiency in Python and Spark (PySpark) or Scala. Deep understanding of data warehousing principles, data modelling techniques, and data integration patterns. Extensive experience with Azure data services, including Azure Data Factory, Azure Blob More ❯

performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in More ❯

performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in More ❯

performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in More ❯

performance and reliability Collaborating with development and operations teams to streamline deployment processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in More ❯

LAN/WAN, SD-WAN, SASE, MPLS, VLAN, WiFi). Experience with modern storage solutions (SAN, NAS, vSAN, Pure Storage, Azure Blob, AWS S3). Proficiency in scripting (PowerShell, Python) and automation. Advanced understanding of backup, disaster recovery, and system hardening. Relevant certifications (AWS Solutions Architect, Azure AZ-305, CCNP) highly desirable. What We’re Looking For A proactive, technically More ❯

data science models into production, and youll also play a pivotal role in helping our client scale and modernise. What youll bring MLOps experience essential Proficiency in SQL and Python Cloud engineering experience with Azure (if you have exp with AWS this would be beneficial) Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse Understanding More ❯

secure design review. Proficiency in automating security checks using Jenkins, GitLab, Ansible, or similar tools. Secure coding knowledge and familiarity with common developer pitfalls. Scripting for testing/automation: Python, Bash, Go. Cloud-native and container experience: Docker, Kubernetes, IaC. Cloud security knowledge: AWS, Azure, GCP, and cloud security best practices. Experience collaborating in agile, fast-paced environments with developers More ❯

stakeholders are treated fairly and with respect. What we're looking for Technology-focused degree preferred, or equivalent demonstrable experience. Extensive knowledge of: JavaScript, TypeScript, NodeJS, AWS SDK & CDK, Python, React, HTML/CSS, Java, Spring, Terraform/CloudFormation Hands-on experience: Building serverless applications in AWS Building microservices in Java (Spring Boot) Strong understanding of clean code principles, design More ❯

years' experience in data engineering, warehousing, or platform leadership. Proven track record of delivering large-scale data warehouse migrations (BigQuery experience strongly preferred). Hands-on expertise with SQL, Python, Airflow, DBT/Dataform, Terraform , and modern data architecture. Strong leadership and stakeholder management skills. Experience driving complex data projects in agile, cross-functional teams. Nice-to-haves: Background in More ❯

improvements to architecture practices. Technical Skills & Experience Must-have: Extensive experience designing and implementing enterprise-scale data architectures Proficiency in data integration and ETL processes. Advanced skills in SQL, Python, or equivalent programming languages. Strong knowledge of data governance, data security, and compliance frameworks. Expertise in Master & Reference Data Management and Data Quality best practices. Cloud-based architecture experience (AWS More ❯

strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental More ❯

be times when you'll need to contribute to a wide range of different software engineering work. Who you are 5+ years of software engineering experience (3+ years with Python) Experience building and maintaining complex web-based systems Strong DevOps experience including CI/CD pipelines, container orchestration, and cloud infrastructure (we use GCP, Kubernetes, Terraform) Solid understanding of software More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

both technical and non-technical audiences Ideal Candidate Profile Technical Experience 5–7 years of professional experience across software engineering, DevOps, or applied data science Strong programming skills in Python and familiarity with JavaScript/TypeScript Working knowledge of React (not a frontend role, but an understanding of the stack is important) Hands-on experience with containerisation (Docker) and cloud More ❯

strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental More ❯

strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental More ❯

Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large More ❯

Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large More ❯

strong communication skills Structured approach to quantitative challenges Comfort working in a dynamic startup environment Qualifications Microsoft Azure experience, particularly R integration Application containerization knowledge (Docker, etc.) Familiarity with Python, JavaScript, C++, bash, or other languages Web application development experience (React, .NET) Background in data security and IP protection workflows Knowledge of environmental sustainability concepts (carbon footprinting, lifecycle analysis, environmental More ❯

Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large More ❯

Looking For: A recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large More ❯

tools such as GitHub, Jenkins, GitLab CI/CD, Azure DevOps, or similar Proficiency in infrastructure-as-code tools like Terraform or CloudFormation Strong scripting and automation skills using Python, Bash, or similar languages Experience with security testing tools such as SonarQube, SNYK, Nessus, Qualys, or similar Familiarity with containerization technologies like Docker and Kubernetes Knowledge of security best practices More ❯

in developing almost all of our applications in-house, which gives us unique flexibility and innovative strength. Our tech stack includes modern technologies such as Java, Kotlin, TypeScript, and Python, CI/CD pipelines, containers, Kubernetes, as well as Azure Cloud, Azure SQL Database, and Oracle Database with PL/SQL. What tasks await you? Administration, configuration, and implementation of More ❯

Computer Science, Data Engineering, Biomedical Informatics, or related field (or equivalent experience) 3-5 years of experience in data engineering (healthcare/medical devices preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS More ❯