1,501 to 1,525 of 11,230 Python Jobs in the UK

Master's degree in computer science/engineering or related experience. Excellent knowledge and practice of software and architecture patterns. Excellent knowledge of full-stack development in Node, .NET, Python, or Java with demonstrable mastery of at least one of those technologies along with its tooling and ecosystem. Excellent knowledge of data architecture and experience working with enterprise data platforms. 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 ❯

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 ❯

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 ❯

diagnose and troubleshoot technical issues related to cloud migration. Familiarity with on-premises infrastructure, legacy applications, and modernization strategies. Desirable: Exposure to scripting and automation tools (e.g., PowerShell, Bash, Python, Terraform). Basic architectural knowledge to support high-level cloud migration planning. Experience in mentoring or supporting junior engineers through cloud transition efforts. Understanding of ITIL or similar service management More ❯

hosting, and throughput optimisation. Expertise in deploying and fine tuning large language models. Monitoring & Performance: Proficiency with monitoring tools such as Prometheus and Grafana. Programming & Automation: Strong proficiency in Python, with experience in developing production applications. Data Engineering & Streaming: Familiarity with data streaming tools and Elastic to ensure high performance in data-driven environments. Nice to Have: Neo4j Data Streaming More ❯

related field 3-5 years of experience in data science roles Creative problem-solving and solution scoping Strong grasp of mathematical, statistical concepts, and machine learning algorithms Proficiency in Python and data science libraries for example NumPy, Pandas, Scikit-learn, Keras SQL proficiency Experience with cloud environments for example Google Cloud Platform Version control management Ability to work efficiently without More ❯

place a high emphasis on containerisation technologies (Kubernetes) and typically deploy to customers via cloud-provider and high-performance computing (HPC) infrastructures. Our platform supports end-user code in Python and we maintain and support an SDK for it. Our benefits Salary range of £50,000 to £85,000. Employee stock options. New equipment: new MacBook Pro, and work-from More ❯

in an Information Technology or Computer Science related field. 8+ years of software engineering or QA automation experience Strong coding skills in at least one modern language (e.g. Java, Python, TypeScript) Proven experience with UI and API testing tools (e.g., Selenium, Playwright, Cypress, Postman) Deep understanding of software testing principles, methodologies, and lifecycle Experience with CI/CD pipelines and More ❯

Integrity, ethical standards, and sound judgment Expert Knowledge in One Or More Of Programming in a compiled language such as Java or C++, or an interpreted language such as Python, and experience with concurrency and memory management. Responsive web development, with professional React/Angular/Redux experience and advanced JavaScript proficiency. NoSQL databases such as MongoDB and Elastic Search. More ❯

Engineering, with pharmaceutical industry experience. Strong background in Generative AI , including LLMs, frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (AWS, Azure, Google Cloud). Proficient in programming languages (e.g. Python, R, Java) and familiar with data tools like Alteryx, Snowflake, Tableau, or Spotfire. Proven track record managing AI projects from concept to deployment, with sound project management skills. Strong analytical More ❯

stakeholders. Assist in automating key 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. Data Manipulation & Analysis: Strong skills More ❯

of message-based architectures (MQ/Kafka). RDBMS Sybase and/or DB2 is preferable, with proficiency in writing complex SQL queries. Unix/Linux scripting (Shell/Python). Good Problem solving and analytical skills. Full software development lifecycle understanding. Good software development practices. Excellent oral and written communication skills. An interest to learn the business supported by More ❯

stakeholders. Assist in automating key 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. Data Manipulation & Analysis: Strong skills More ❯

best practices in a cloud-native environment. Requirements: 3+ years of experience in backend/cloud engineering with AWS. 5+ years of Java backend development experience. 3+ years of Python development. Strong hands-on experience with AWS services: Lambda, S3, K8S. Deep understanding of data lake architectures and formats such as Parquet and Iceberg. Proficiency in Spring Boot and working More ❯

LLM application development Stay at the forefront of AI research and incorporate state-of-the-art techniques What You'll Need to Succeed Proficiency in programming languages such as Python, JavaScript, or TypeScript Experience working with foundational model APIs and pre-trained open source models Strong understanding of machine learning workflows, including model evaluations and LLM fine-tuning Familiarity with More ❯

of message-based architectures (MQ/Kafka). RDBMS Sybase and/or DB2 is preferable, with proficiency in writing complex SQL queries. Unix/Linux scripting (Shell/Python). Good Problem solving and analytical skills. Full software development lifecycle understanding. Good software development practices. Excellent oral and written communication skills. An interest to learn the business supported by More ❯

be a plus if the candidate also has: Experience with Cloud solutions design (Azure, AWS, Oracle OCI). Experience in automation e.g. Ansible, Terraform Programming and scripting, e.g. bash, python Experience with NAC solutions, e.g. Aruba ClearPass Why work at Stats Perform? We love sports, but we love diverse thinking more! We know that diversity brings creativity, so we invite More ❯

of message-based architectures (MQ/Kafka). RDBMS Sybase and/or DB2 is preferable, with proficiency in writing complex SQL queries. Unix/Linux scripting (Shell/Python). Good Problem solving and analytical skills. Full software development lifecycle understanding. Good software development practices. Excellent oral and written communication skills. An interest to learn the business supported by More ❯