226 to 250 of 3,924 Python Jobs in London

marketing agency. Deep understanding of machine learning, natural language processing, and other AI techniques. Strong data analysis skills, with experience using tools like SQL, Python, R, and data visualisation platforms. Experience with cloud computing platforms (e.g., AWS, Google Cloud, Azure). Excellent communication and presentation skills, with the ability to More ❯

create well-engineered, reusable, and scalable platforms-key to the business's growth and agility. What you offer Experience with programming languages such as Python or C++ and technologies such as SQL/NoSQL databases and AWS An ability to work as part of a collaborative team Analytical and problem More ❯

QUALIFICATIONS Bachelor's degree in Computer Science, Automation Engineering, or equivalent Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby Experience in systems design, software development, operations, automation, and process improvement Experience building tools for building, testing, releasing or monitoring Non-internship More ❯

Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders, exploring new data sources with excellent coding skills in Python, R, SQL, etc. Understanding of cloud services AWS, Snowflake, and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics More ❯

primary AWS services (ec2, elb, rds, route53 & s3). Experience with software development life cycle (sdlc) and agile/iterative methodologies. Experience in using Python and hands on experience building models with deep learning frameworks like Tensorflow, Keras, PyTorch, MXNet. Amazon is an equal opportunities employer. We believe passionately that More ❯

Tools: AWS Direct Connect, Transit Gateway, Route 53, and other relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/Scripting: Python, Terraform, or similar languages. Event-Driven Architectures: Kafka. Monitoring and Logging: Datadog, ELK Stack, Prometheus, etc. Experience in agile methodologies and DevOps practices. Location: Hybrid. More ❯

Tools: AWS Direct Connect, Transit Gateway, Route 53, and other relevant tools. Security Best Practices: IAM, MFA, data encryption, firewall configurations. Programming/Scripting: Python, Terraform, or similar languages. Event-Driven Architectures: Kafka. Monitoring and Logging: Datadog, ELK Stack, Prometheus, etc. Experience in agile methodologies and DevOps practices. Location: Hybrid. More ❯

and Kubernetes orchestration. Experience in cost reduction techniques for cloud-based managed databases. Experience working with data lakes. Proficiency in scripting languages like Bash, Python, or Go. Experience with configuration management tools such as Terraform or AWS CloudFormation. Familiarity with ELK stacks. Design : Figma APIs : REST, GraphQL Back-End : Node.js More ❯

of networking protocols (TCP/IP, MQTT, HTTP), data communication, and edge/cloud data infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with More ❯

of networking protocols (TCP/IP, MQTT, HTTP), data communication, and edge/cloud data infrastructure. Proficiency in multiple programming/scripting languages (e.g., Python, JavaScript, C++, Node.js). Experience designing and managing cloud platforms (AWS, Azure, GCP), databases (SQL/NoSQL), and real-time analytics. Demonstrated experience working with More ❯

be successful in this role • Experience of building, leading and mentoring development teams. • Comprehensive experience of developing using modern development languages (e.g. Java, Go, Python etc) with code written to a common standard. • Experience of public cloud technologies (either AWS, GCP, Azure) and principles, in particular Infrastructure as Code. • Ability More ❯

cloud or hybrid cloud strategies. FinOps Certifications Skills: Advanced analytical skills, with proficiency in data analysis and financial modeling tools (e.g., Excel, SQL, or Python). Excellent communication skills, with the ability to present complex information to both technical and non-technical stakeholders. Experience with cost management tools, reporting systems More ❯

cloud or hybrid cloud strategies. FinOps Certifications Skills: Advanced analytical skills, with proficiency in data analysis and financial modeling tools (e.g., Excel, SQL, or Python). Excellent communication skills, with the ability to present complex information to both technical and non-technical stakeholders. Experience with cost management tools, reporting systems More ❯

and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine More ❯

other engineers and facilitating communication between teams Required Skills: Bachelor's or Engineering degree required. Strong technical, analytical, troubleshooting, and communication skills. Proficiency in Python (5+ years of experience). Ability to manage a small, distributed team/Management experience (2+ years?) Hands-on experience with document databases (e.g., MongoDB More ❯

role, managing complex, scalable, enterprise-level applications. Extensive knowledge of software architecture principles and design patterns, with proficiency in languages such as Java, C#, Python, or similar. Strong knowledge of modern software architecture, including service-oriented architecture. Experience with leading cloud platforms (AWS, Azure, Google Cloud). Experience with Oracle More ❯

Strong proficiency in SQL for querying databases, understanding of data modelling and ETL processes, advanced Excel skills for supplementary analysis, and basic programming knowledge (Python/R preferred) for data analysis and automation. Data Governance & Compliance: Knowledge of best practices in data access, governance, and security, ensuring adherence to compliance More ❯

technology, ideally within API management, IAM or integration Good knowledge of REST, JSON and XML Some scripting experience, ideally with Java or JavaScript/Python Hands-on experience with cloud providers (AWS, Azure, GCP) Ability to design deployment architectures (HA, DR, etc) Understanding of Kubernetes, Docker, continuous integration and continuous More ❯

5+ years of experience in a BI or advanced analytics role, preferably in a client-facing environment. Expert-level proficiency in SQL, R or Python, and BI tools (e.g., Power BI, Tableau). Strong understanding of statistical concepts and their practical applications. Demonstrated experience in managing large-scale data projects More ❯

skills with some scripting is mandatory. Strong Network Troubleshooting experience. Knowledge of the OSS/BSS/Network Management solutions/Systems. Languages: JAVA, Python, Shell Scripting. Database(s): PostgreSQL, Neo4j, MySQL. Experience in database queries is an advantage. Knowledge on SNMP, Syslog, ICMP, SSH recommended. Hands-on experience on More ❯

business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. More ❯

business processes through AI and data-driven approaches. Ensure ethical AI practices and compliance with data privacy regulations. Technical Skills required: Programming: Proficiency in Python (preferred) and/or other relevant languages (e.g., R, Java, C++). Machine Learning & AI Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries. More ❯

cloud architectures; Azure is a plus. Excellent understanding of networking protocols, TCP/IP, and network security concepts. Strong programming/scripting skills (e.g., Python, Elixir) for automation and security tool integration. Strong analytical skills and the ability to use data and metrics to back up assumptions, recommendations, and drive More ❯

solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high More ❯

ownership and drive A passionate bias to action and passion for delivering high-quality data solutions Expertise with common Data Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Deep understanding of end-to More ❯