226 to 250 of 3,224 Python Jobs in London

a Data Scientist in a relevant field. Proficiency in data analysis, data mining, and statistical techniques. Attention to detail and ability to work with large datasets accurately. Proficiency in Python or R (5+ years' experience). Knowledge of statistical models such as linear and logistic regression, t-tests, ANOVA. Experience collecting, organizing, and analyzing data from diverse sources. Strong analytical More ❯

pitch technology propositions aligned to client needs. Technical & Analytical Tools: Proficient in Microsoft Office, Jira, Confluence, Miro, and similar tools. Desirable experience with programming or scripting languages (e.g., Java, Python, SQL, HTML, JSON). Certifications (Preferred): Agile certifications (Scrum Master, Product Owner) Cloud certifications (AWS, GCP, Azure) ITIL or other IT service management credentials Industry Awareness: Knowledge of current trends More ❯

scale distributed software applications ️ Is this you? You have professional experience with: Model training Huggingface Transformers Pytorch vLLM TensorRT Infrastructure as code tools like Terraform Scripting languages such as Python or Bash Cloud platforms such as Google Cloud, AWS or Azure Git and GitHub workflows Tracing and Monitoring Familiar with high-performance, large-scale ML systems You have a knack More ❯

might be out of their official scope, while keeping an eye on their goals and the big picture. Responsibilities Design and develop the data team's microservices - Java/Python services running on K8S. Address data duplication, velocity, schema adherence (and schema versioning), high availability, data governance, and more. Develop, design, and maintain end-to-end ETL workflows, including data More ❯

pitch technology propositions aligned to client needs. Technical & Analytical Tools:Proficient in Microsoft Office, Jira, Confluence, Miro, and similar tools. Desirable experience with programming or scripting languages (e.g., Java, Python, SQL, HTML, JSON). Certifications (Preferred): Agile certifications (Scrum Master, Product Owner) Architecture frameworks (e.g. TOGAF) Cloud certifications (AWS, GCP, Azure) ITIL or other IT service management credentials Industry Awareness More ❯

Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical More ❯

/mobile applications or platforms with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL databases such as MongoDB, Cassandra, etc. Responsibilities include: Work More ❯

related STEM field. Eligibility to enroll in a Level 6 or Level 7 AI/ML/Data Science apprenticeship programme. Core Skills & Competencies Technical Skills Programming proficiency in Python and common ML libraries such as TensorFlow, PyTorch, or similar. Experience with Jupyter Notebooks and version control (Git/GitHub). Basic understanding of supervised/unsupervised learning, neural networks More ❯

Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud-native environment (e.g. Fabric, AWS, GCP, or Azure). Excellent stakeholder management and communication skills. A strategic mindset, with a practical 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 ❯

IT operations/systems engineering Expertise in Hyper-V virtualization and PowerShell automation Familiarity with ITSM platforms (ServiceNow/Jira/Slack) Windows/macOS administration and networking Scripting (Python/PowerShell) ITIL certification (preferred) Strong problem-solving and cross-functional collaboration skills Fluent in English; other EU languages preferred Bonus Qualifications: Experience with cloud platforms (AWS/Azure); gaming More ❯

experience with AI technologies/tools and apply it to user experiences or backend solutions. Experience with AI technologies like SageMaker, Vert.x, LangChain, Large Language Models, Prompt Engineering, DialogFlow, Python Experience with at least one of the following: Front-end technologies like React, Angular, SwiftUI (iOS), Kotlin (Android) Back-end technologies like Java, Typescript, Spring, Express (NodeJS) Prior working experience More ❯

most mission-critical application space, and provide creative solutions for better managing our diverse environment. You'll need to have: Experience working with an object-oriented programming language like python or ruby A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience Expertise in analyzing, diagnosing, and solving problems in a Linux/Unix production More ❯

to stakeholders in a compelling and actionable way Mentor junior data scientists and contribute to the evolution of data science standards and practices Key Skills & Technologies Technical: Strong in Python (pandas, scikit-learn, XGBoost, LightGBM, etc.) Proficient in SQL for complex customer data extraction and manipulation Experience with customer analytics techniques: segmentation, RFM analysis, clustering, time-series, A/B More ❯

set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for More ❯

set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for More ❯

set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for More ❯

set. Deep expertise in system architecture, distributed systems, cloud-native infrastructure (AWS or GCP), and event-driven design. Strong programming ability in one or more languages (e.g. TypeScript, Node.js, Python, Go, Java). Experience with DevOps practices, CI/CD pipelines, performance tuning, and monitoring tools. Solid database knowledge (SQL & NoSQL) and the judgment to choose the right tool for More ❯

such as DBT, or Dataflow. Strong hands-on knowledge of Snowflake and PostgreSQL databases. Strong Ability to work autonomously in a fast-paced and dynamic environment. Strong SQL and Python coding skills, particularly in automation & integrations. Sound experience in AWS cloud services and modern ETL technologies. Sound understanding of data architecture, quality frameworks, and reporting tools. Sound understanding of software More ❯

and demonstrable people and project management experience Expert data visualisation skills and experience developing semantic models and dashboards with PowerBI or similar BI tools Advance coding capabilities in SQL, Python, PySpark and Notebooks Experience working with cloud computing in Azure or similar platforms.Impeccable communication skills in English - to technical and non-technical audiences alike. Experience working with cloud computing in More ❯

technical discussions, influencing smart decisions around configuration vs. custom development. Implement CI/CD pipelines, automation, and deployment processes. Basic Qualifications Proficiency in at least one modern programming language (Python, Ruby, Golang, Java, C++, C#, Rust). Strong familiarity with Linux/Unix environments. Experience working with CI/CD pipelines and automated deployment processes. 3+ years of professional software More ❯

driven recommendations on their domain-specific challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with More ❯

related role. Technical Skills: Proficiency with SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g. MongoDB), with hands-on experience in query optimization and data modelling. Strong programming skills in Python (preferred), with a focus on building scalable data solutions. Experience with data pipeline orchestration tools such as Dagster or similar. Familiarity with cloud platforms (e.g. AWS) and their data services More ❯

mentoring testers and fostering a culture of continuous learning and delivery excellence. Bonus Points For: Previous consultancy or professional services experience. Hands-on experience with additional programming languages like Python, Ruby, Scala, or PHP. Exposure to cloud platforms and infrastructure-as-code within test environmenWhat's in It for You? We reward leadership and initiative with a package that reflects More ❯

essential. Advanced wizardry in Linux systems management, virtualisation technologies, containerisation platforms, and VMware orchestration tools (vRealize/Aria suite). Exceptional coding prowess in automation development and scripting languages: Python, PowerShell, Bash, Go, and Git workflows that drive efficiency. Battle-tested experience with continuous integration/deployment pipelines and IaC integration across GitLab CI, Jenkins, or Azure DevOps platforms. Comprehensive More ❯