1,176 to 1,200 of 8,778 Python Jobs in England

logic using AWS Lambda to enhance contact centre functionality. Good knowledge of Agent Chat/Web Chat applications with implementation experience Comfortable working with JSON Files, C#, .Net and Python Familiarity with development and version control tools like GIT, GitHub, and Azure DevOps. Competence in CI/CD pipelines using Terraform or CloudFormation. Strong debugging, reporting, troubleshooting, and problem-solving More ❯

Mathematics, Machine Learning, AI, Statistics, Economics or equivalent) 5+ years of professional working experience Someone who thrives in the incremental delivery of high quality production systems Proficiency in Java, Python, SQL, Jupyter Notebook Experience with Machine Learning and statistical inference. Understanding of ETL processes and data pipelines and ability to work closely with Machine Learning Engineers for product implementation Ability More ❯

Continuously improving code quality, performance and maintainability - Working with near real-time, geospatial and AI-accelerated data applications Required qualifications to be successful in this role - Strong proficiency in Python, including OOP principles and clean, maintainable coding practices - Advanced SQL skills and experience designing efficient schemas and optimising performance - Experience with code versioning, dependency management, logging, validation and monitoring - Familiarity More ❯

English writing and speaking skills Docker/Kubernetes self-defense skills Basic knowledge of distributed system concepts and big data technology stacks Knowledge of at least one programming language (Python, C++, Java, Go) University degree (IT/math) or equivalent experience The following additional qualifications are a significant plus: Kubernetes knowledge and operating experience Experience with big data stack components More ❯

with teleoperation systems, game streaming, or low-latency video/control pipelines. Experience monitoring infrastructure with tools like Prometheus, Grafana, Netdata, or similar. Ability to write basic scripts in Python, Bash, or similar for automation and monitoring. Strong documentation and communication skills for cross-functional collaboration. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. More ❯

with teleoperation systems, game streaming, or low-latency video/control pipelines. Experience monitoring infrastructure with tools like Prometheus, Grafana, Netdata, or similar. Ability to write basic scripts in Python, Bash, or similar for automation and monitoring. Strong documentation and communication skills for cross-functional collaboration. Benefits High competitive salary. 23 working days of vacation per year. Flexible working hours. More ❯

modeling and data pipeline design - Masters degree in Business, Engineering, Statistics, Computer Science, Data Science, Mathematics or related field - Experience with at least one statistical programming language such as Python working with test/control methodology, time-series forecast, and/or machine learning techniques. - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability More ❯

our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data More ❯

our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data More ❯

our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data More ❯

our codebase. Model validation and model testing of production models. Presenting findings to senior internal and external stakeholders in written reports and presentations. This role is for you if: Python for API and Model development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data More ❯

software in the AMZL Innovation Center. 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 professional software/system development More ❯

of designers, travel tech specialists and other highly capable engineers. Needs to be familiar with: Front end: React.js, Backend and APIS: Node.js, database: MongoDB, Infrastructure: AWS, AI/ML: Python (recommendation algorithms) Key Responsibilities⚙️ · Joining the Arcube team as a Senior Full-Stack engineer, you will play a pivotal role in the continuous development of Arcube’s software products, from More ❯

Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and More ❯

experience implementing and maintaining critical systems at scale Bachelor's degree in Computer Science/Software Engineering or equivalent industry experience Ability to write maintainable and secure code in Python Track record of driving engineering excellence through high standards, constructive code reviews, and mentorship Proven ability to lead cross-functional security initiatives and navigate complex organizational dynamics Outstanding communication skills More ❯

are we looking for? Hands-on experience in designing greenfield, scalable data platforms in cloud using Azure D&A stack, Databricks and Azure Open AI solution. Proficiency in coding (Python, PL/SQL, Shell Script) relational and non-relational databases, ETL tooling (such as Informatica), scalable data platforms. Proficiency in Azure Data and Analytics stack; working knowledge on AWS and More ❯

Your profile Essential Criteria Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity with data visualization and reporting tools, ideally PowerBI. Good written and verbal communication and More ❯

with at least 3 years in a senior or managerial role. Solid experience on multiple test frameworks and tools - Selenium, Cucumber, t-SQLT, JUnit, TestNG and scripting languages (e.g., Python, JavaScript). Proven experience with applications that have significant dependencies on stored procedures and complex back-end systems. Strong experience of development and automating applications that are heavy on stored More ❯

Expectations, Deequ), and A/B or shadow testing. - Experience with model monitoring frameworks - Solid knowledge of CI/CD for ML , including automated training and deployment workflows. - Strong Python engineering skills; experience with Docker and orchestration tools is a plus. - Excellent communication and documentation skills, and a strong collaborative mindset. Bonus Points - Experience in startups and/or fintech More ❯

Strong experience with incident response planning, threat detection, and mitigation. Ability to define security policies, procedures, and structured action plans for compliance and risk management. Proficiency in scripting languages (Python, Bash, PowerShell) for security automation. Strong interpersonal skills to mentor and train internal engineers while working effectively in an office environment. Experience working with third-party support partners, vendors, and More ❯

Analytics/Data Science/Machine Learning/Quant, including in the Financial Services sector. Hands on project lifecycle experience, from business requirements gathering to productization. Coding experience in Python to write robust, reusable code; experience with version control (preferably GitHub); experience with writing test cases for data science pipelines. Experience working with databases and SQL. Experience using Language Models More ❯

years of professional experience in applied machine learning or engineering roles. Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. Proficiency in Python and modern ML libraries (e.g., TensorFlow, PyTorch, JAX, or Keras). Experience with version control systems (GitHub, GitLab) and knowledge of clean, maintainable coding practices. Familiarity with CI/CD More ❯

verbal, written and visual communication of technical concepts. Proven experience working with data in an agile and dynamic team, with experience working with relational databases and writing SQL and Python or similar. Power BI (semantic data modelling and DAX skills). Experience in Data Lake technologies (DataBricks) and/or Dataiku. Experience with Data Science and AI tools and frameworks More ❯

a highly regulated environment. Requirements: Hands-on experience with Azure and/or AWS cloud platforms. Have extensive experience in managing Kubernetes in production environments. Proficiency in scripting (e.g., Python, Bash, PowerShell, TypeScript). Familiarity with Infrastructure as Code and DevOps practices. Knowledge of Hyper-V management. Understanding of networking, security, and system administration (Linux/Windows). Experience with More ❯

different problems from monoliths to microservices, upskilling colleagues and customers, always finding themselves learning from others, while constantly striving to be nice humans Our teams have used Java, Ruby, Python, ES6 with React, as well as C# with .NET Core. We don't limit ourselves as a company and we expect all our Engineers to be keen on learning new More ❯