26 to 50 of 6,305 Python Jobs in London

Days Onsite London. We are looking for an experienced Full Stack Developer with strong expertise in Python and React.js to design, develop, and maintain scalable web applications. The ideal candidate should have hands-on experience building microservices, REST APIs, cloud-native applications, and modern frontend solutions. Key Responsibilities Design, develop … maintain web applications using Python and React. Build scalable RESTful APIs and backend services. Develop responsive and user-friendly frontend interfaces using React.js. Collaborate with Product Owners, Architects, DevOps, and QA teams. Optimize application performance, security, and scalability. Participate in code reviews and ensure best coding practices. Work within Agile ...

regulated environment. The role is Hybrid and requires onsite attendance in Central London 23 days per week. Technical Skills C#, ASP.NET Core, Entity Framework Python, FastAPI JavaScript, TypeScript React or Angular REST APIs, Swagger/OpenAPI SQL Server, PostgreSQL, NoSQL and vector databases Azure App Services, Azure Functions, API Management … front-end applications using modern JavaScript frameworks such as React or Angular Develop secure and scalable back-end services, APIs, and integrations using .NET, Python, and Azure services Design and implement AI-powered solutions including Agentic AI workflows, copilots, and intelligent automation services Integrate Large Language Models (LLMs), AI APIs ...

also contribute to engineering excellence through best practices, mentoring, and thoughtful technical direction.Job responsibilitiesDesign scalable, reusable data processing and data quality frameworks using Python, PySpark, and dbtBuild and optimize batch and streaming data pipelines with strong performance, fault tolerance, and observabilityDevelop and operate workflow orchestration (e.g., Apache Airflow) to schedule … manage data movement and transformationsModel and transform data for analytics using SQL and dbt to support business intelligence and reporting workloadsWrite production-grade Python/PySpark code with disciplined testing, performance tuning, and maintainable object-oriented designImplement infrastructure-as-code (e.g., Terraform) to provision and manage cloud-based data platform ...

Qualifications (BQ) Proficiency in Architecting, deploying and maintaining AWS Cloud based infrastructure services [VPC, IAM, S3, Lambda, EC2, SQS, SSM, ASG, Cloudwatch, Cloudtrail, Boto3, Python, EKS, Shell Scripting, Automation, SNS, SQS, KMS, EKS, ECR, RDS. etc] Good Understanding of medium to large Enterprise architectures, Multi-Account AWS setup. Cloud Migration … Direct Connect. Experience with configuring Application Load Balancers (ALB) for effective traffic management Automation and Deployment Proficient in scripting languages such as Python and Bash for automating migration tasks and processes. Familiarity with Infrastructure as Code (IaC) tools, including AWS CloudFormation and Terraform. Strong understanding of IaC practices using tools ...

date with emerging technologies, particularly Generative AI . Key Skills & Experience We are looking for experience in some of the following: Strong Python skills. AWS, Azure or GCP . Data warehousing and data lake architectures. ETL/ELT, SQL and NoSQL databases. Spark, Kinesis or other distributed/streaming technologies. ...

5+ Years of hands‐on experience in data engineering, analytics engineering or data platform roles, including senior or leadership‐level work Advanced SQL and Python skills for building reliable, production‐ready data solutions Strong experience with cloud data warehouses, ideally BigQuery, and working knowledge of the wider Google Cloud Platform ...

engineering, infrastructure, construction, programme controls, PMO, or consultancy environments. Experience with cloud-native architectures, DevOps, CI/CD pipelines, and DataOps practices. Knowledge of Python, Spark, PySpark, Databricks, or equivalent data engineering technologies. Information Management in a complex construction or infrastructure project/programme Experience developing enterprise data products ...

Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such as Python Reporting tools (e.g. Tableau, PowerBI, Qlik) GDPR and Government Service Standard (desirable) Passionate, motivated and enthusiastic about developing technology solutions. Experience working in an Agile ...

Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts. Infrastructure & Automation: Terraform, Python/PySpark. Expertise in data modeling, integration, ETL processes, governance, and security. Nice-to-have Experience with Datactics (or similar platforms) and Generative/Agentic ...

level and we are looking for data engineers who have a variety of different skills which include some of the below. · Strong proficiency in Python · Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development ...

level and we are looking for data engineers who have a variety of different skills which include some of the below. Strong proficiency in Python Extensive experience with cloud platforms (AWS, GCP, or Azure) Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development ...

agreed scope, acting as the key point of escalation for decisions that impact your area of workDemonstrable experience of building data pipelines using Spark, Python or SQLExperience working with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms ...

highly technical engineers. Demonstrated experience delivering enterprise-scale software platforms, APIs, and distributed systems. Strong proficiency in C++, Java (Spring Boot), and/or Python (FastAPI or similar), with the ability to guide engineering teams on architecture, design, and implementation.Experience designing, building, and supporting RESTful APIs and microservices-based architectures. ...

Nexus, etc.Good understanding on Containerisation solutions, e.g., K8, Docker, Kaniko, etc.Proficiency in at least one of the standard programming languages – Java/JavaScript, C#, Python, or similar Object-oriented programmingProficiency in at least one of the standard scripting languages – Terraform, Bash, Ansible, etc.Good understanding of Software engineering concepts, e.g., coding ...

orchestrating data flows between EBS and other applications.Technical Proficiencies: Proficiency in programming and scripting languages relevant to the enterprise stack. This may include Python/Django, Java or C# for application development. Solid skills in SQL and working with relational databases (particularly Oracle Database and PL/SQL) are required. ...

Full Stack Python DeveloperSalary: 60,000 to 80,000Location: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Full Stack Python Developer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence … years, and all four are still with the business. This speaks volumes about the company’s culture, technical challenges and long-term opportunities.Full Stack Python Developer roleThe Full Stack Python Developer will build applications that allow customers to use advanced computer vision technology within real operational environments.Rather than developing ...

early-career Full Stack Engineer to join its Automation & Analytics team in London. This is an excellent opportunity for an engineer with strong Python and SQL skills who wants to build broader expertise across software engineering, cloud, data engineering and AI-enabled applications . Rather than focusing on one part … cloud environments, supporting real production applications and contributing to client projects. Why this role? You’ll gain hands-on exposure to: ☁️ AWS cloud & migration 🐍 Python development 🗄️ SQL, databases & data platforms 🔄 Data pipelines & ETL/ELT 🔌 APIs & backend engineering 🚀 CI/CD & production systems 📊 Analytics & modern data platforms 🤖 AI/ ...

from scratch. Requirements: 7+ years of software engineering experience, a substantial part of it spent building infrastructure or platform tooling rather than operating it Python (required): production-level Python, including packaging, typing, testing, and dependency management. The platform is written in Python and you will be extending it, not scripting … engineers who use the platform as your users, and judge your work by whether theirs gets easier. Responsibilities: Designing, building, and maintaining the Python services, libraries, and command-line tooling that make up the internal infrastructure platform. Working with the engineering teams who consume the platform to understand their workflows ...

Management platforms, role-based access control, or entitlement governance at scaleAdvanced proficiency in one or more programming languages, frameworks, or platforms such as Go, Python, Java, Kubernetes or TerraformPractical cloud-native experience building and operating services on at least one public cloud provider, such as Amazon Web Services, Microsoft Azure ...

proficient applied experience Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages- Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge ...

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research ...

contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data … cloud-native architectures, and modern AI development patterns will be highly valued. Responsibilities Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems Build ...

DevOps & AutomationKnowledge in maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, etc. for ADF, Databricks and ML models deployments.Develop automation scripts using Python, PowerShell, or Bash to reduce manual intervention and improve service reliability.SQL and Data Warehouse OperationsWrite, optimize, and troubleshoot SQL queries for:Data validationRoot cause analysisReport … orchestrationAzure Machine Learning: pipelines, model deployment, monitoringPower BI Service: dataset refreshes, access control, report diagnosticsDevOps & AutomationCI/CD: Azure DevOps, GitHub Actions, YAML pipelinesScripting: Python, PowerShellMonitoring: Azure Monitor, Log Analytics, Alerts, Application Insights SQL & Data WarehousingSQL skills for debugging, data validation, and optimizationExperience with Azure SQL DB, or SQL ServerFamiliarity ...

record of leading data projects in a fast-paced environment. Key Responsibilities Design, build, and maintain scalable and robust data pipelines using SQL and Python, and leveraging technologies such as: Databricks, Snowflake, Azure Data Factory, AWS Glue, Apache Airflow and Pyspark. Lead the integration of complex data systems and ensure … degree in Computer Science, Engineering, or a related field. 3+ years of industry experience in data engineering with a strong technical proficiency in SQL, Python, and big data technologies. Expertise in building scalable data workflows using cloud-native orchestration tools and distributed data processing frameworks. Solid understanding of CI/ ...

understanding of software engineering practices including Git/GitHub, CI/CD, development environments, testing and release management . Strong hands‐on experience with Python and SQL . Experience working with modern cloud‐based data platforms across AWS, Azure and/or GCP . Experience with contemporary data engineering technologies … ability to collaborate effectively with engineers, technical leads and wider stakeholders. Technical Environment Experience with some of the following technologies would be beneficial: Python SQL Cloud platforms – AWS, Azure or GCP Databricks Apache Spark/PySpark Kafka/event-driven architectures Airflow dbt Git/GitHub CI/CD Infrastructure ...