576 to 600 of 24,642 Python Jobs in England

Learning, Computer Science, Statistics, Physics, Mathematics, or a related field. Several years of experience developing machine learning algorithms and working with large-scale, real-world datasets. Programming: Proficiency in Python, experience with Java, C++, or deep learning frameworks is a plus. Tools & Platforms: Hands-on experience with Kubernetes, Docker, Linux, and CI/CD pipelines. Data Skills: Strong knowledge of … SQL and database systems. Preferred Technical Skills Good understanding of AI concepts and technologies, like LangSmith, LangGraph and OpenAI. Python - Advanced proficiency. Linux - Intermediate proficiency. Docker - Intermediate proficiency. CI/CD - Intermediate proficiency. SQL & Databases - Intermediate proficiency. What We Offer The opportunity to work on transformative AI solutions in healthcare and pharma. A collaborative, research-driven environment with real-world More ❯

to date with emerging technologies and industry trends to continuously improve skills and knowledge. Willingness to learn other languages and skills as used by the wider team, e.g. C#, Python, pensions calculations modelling etc. Key Skills & Experience Mandatory experience: Proficiency in Laravel and React frameworks. Experience with Docker for containerisation. Strong knowledge of version control and collaboration using GitHub, Bitbucket … Selenium or Cypress. End-to-end testing with Mocha/Chai. Team communication with Slack or Microsoft Teams. Infrastructure as Code with Terraform or Ansible. Additional programming languages like Python or C#. Qualifications: Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent work experience. 3-5 years of professional experience in software development. Where is More ❯

platforms. Our Technology Stack:Java (primarily using Spring Boot), MySQL, Postgres (with Liquibase), Docker, AWS (e.g., ECS, S3, CloudWatch), Retool, Jenkins or GitHub Actions for CI/CD pipelines, Python for certain microservices or data-related tasks Who You Are Seven or more years of professional software engineering experience, with a strong background in Java 2-3 years of professional … Python experience (e.g., building microservices, data-related tasks) Proven experience leading the development of significant new functionality in a production environment Proficiency in writing well-structured, testable Java code, following best practices for maintainability Experience maintaining business-critical systems , ensuring uptime, reliability, and smooth operations Strong analytical and problem-solving skills, with a focus on logging, monitoring , and data-driven More ❯

excellent team player with a good balance of strategic view & rapid application development. Strong technical skills in at least one core language (Java/C#) and one scripting language (Python, Javascript/ReactJS + TypeScript). Solid background in data structure and algorithms. Knowledge of Web development will be a plus. Knowledge of Equity Derivatives will be a plus. Knowledge … Information Technology Industries Banking, Financial Services, and Investment Banking Referrals increase your chances of interviewing at UBS by 2x Sign in to set job alerts for “Quantitative Developer” roles. Python Quant Developer - Equity Derivatives London, England, United Kingdom 2 weeks ago London, England, United Kingdom 4 weeks ago London, England, United Kingdom 1 month ago London, England, United Kingdom More ❯

to make a significant impact, we encourage you to apply! Job Responsibilities ETL/ELT Pipeline Development: Design, develop, and optimize efficient and scalable ETL/ELT pipelines using Python, PySpark, and Apache Airflow. Implement batch and real-time data processing solutions using Apache Spark. Ensure data quality, governance, and security throughout the data lifecycle. Cloud Data Engineering: Manage and … communication and collaboration skills are vital Proven experience in data engineering, with hands-on expertise in Azure Data Services, PySpark, Apache Spark, and Apache Airflow. Strong programming skills in Python and SQL, with the ability to write efficient and maintainable code. Deep understanding of Spark internals, including RDDs, DataFrames, DAG execution, partitioning, and performance optimization techniques. Experience with designing and More ❯

efficiency and product competitiveness. Minimum Requirements Technical Skills/Knowledge/Experience Degree related to software engineering or computer science. 10+ years’ experience in software development preferably in a Python based environment. 5 years plus experience in a leadership role in Product Development delivering B2B enterprise cloud applications hosted on AWS. Extensive experience of working with Agile processes, scrum practice … applications in AWS that follow principles of security, scalability and high availability. Very strong technical background leading application development – with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About More ❯

clearly and concisely to various audiences, including technical and non-technical team members and stakeholders. You should have expertise over several programming languages including C/C++, Go and Python with a strong passion for client and server technologies. You’ll need to be passionate about games, software and hardware design, staying updated with emerging technologies and industry trends, and … adapt to new challenges and technologies. You’ll need to have some (not all) of the following: Proficient in several programming languages, which include C/C++, Go and Python Ability (and interest) in working across the stack in client and server tech, backed up with practical experience and portfolio Experienced with web technologies and services, including HTML5, REST, JSON More ❯

For We’re looking for engineers with experience in secure environments and exposure to modern software and cloud practices: Active DV or eDV clearance Proficiency in languages such as Python, Java, JavaScript, SQL, C++ Knowledge of cloud platforms (AWS, Azure, or GCP) Experience with CI/CD tools (e.g. Jenkins, Azure DevOps, GitHub Actions) Understanding of containerisation and orchestration (Docker More ❯

for trading in excess of 5 trillion dollars annually. Our Technology Our systems are almost all running on Linux and most of our code is in Java, with some Python and TypeScript. We use Kafka as the backbone of our platform, Aeron, Git for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, Docker for containerisation, Ansible … both Linux and Windows platforms. Advantageous An excellent understanding of financial markets and instruments. Experience with FIX a significant advantage. Experience working closely with Quants and/or Traders. Python knowledge. Experience of front office software and/or trading systems development e.g. in a hedge fund or investment bank. Expertise in building distributed systems with service-based or event More ❯

Drive projects and strategic initiatives, collaborating with product squads and business stakeholders to ensure seamless integration of ML solutions into existing workflows. Develop robust, production-quality software artifacts using Python along with large-scale data workflow orchestration platforms (e.g., Airflow). Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure, using services like AWS … production-quality solutions. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems, including working with LLMs and agentic workflows. Proficiency in Python and strong knowledge of ML algorithms-ranging from classical techniques to deep learning methods. Proven experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch, with More ❯

Drive projects and strategic initiatives, ensuring the integration of ML solutions into existing workflows by collaborating with product squads and business stakeholders Develop robust, production-quality software artifacts using Python and large-scale data workflow orchestration platforms (e.g., Airflow), while managing team resources & timelines Leverage expertise in cloud computing platforms (AWS and Azure) to build and optimize AI infrastructure Champion … teams, with the ability to lead people and technical strategy. Extensive experience in developing and integrating advanced generative AI and ML solutions into existing products and systems. Proficiency in Python and strong knowledge of ML algorithms, ranging from classical techniques to deep learning methods. Experience in training, fine-tuning, and deploying neural network models using frameworks like PyTorch. Expertise in More ❯

area, Fact and Dimension tables in Target D/W Hands-on experience with No-SQL DB, preferably MongoDB. Experience creating reusable code/scripts for Automated Framework using Python (Pandas, Numpy, Requests, Boto3) Experience creating automation frameworks using Selenium (Python) and tools to support test automation for web applications Experience working with Postman, SOAPUI, GraphQL or similar API testing More ❯

balancing in-house development and third-party tools. Solution Development & Implementation: Configure and deploy third-party AI tools to meet specific operational needs. Develop custom code if necessary, using Python and GenAI models to plug tool gaps and deliver value to our end users. Oversee the end-to-end implementation process, ensuring tools are properly aligned with internal workflows. Ensure … e.g., AWS, Azure, Google Cloud). Experience with third-party AI tools and platforms, such as Microsoft Copilot Studio. Knowledge of coding and data manipulation (e.g., json, REST API, Python, SQL). Experience using LLM’s with tools and MCP architecture. Analytical & Problem-Solving Abilities: Ability to dissect complex operational challenges and identify appropriate AI solutions. Strong analytical skills to More ❯

up and maintain Continuous Integration & Deployment (CI/CD) pipelines Demo your work to internal and external stakeholders What You Bring: Strong hands-on experience with Java, JavaScript, or Python Understanding of Cloud-based architectures (AWS or Azure) Experience with DevOps & automation tools like Jenkins, GitLab, Docker, OpenShift, or Kubernetes. Proven experience in designing, developing & deploying scalable backend systems. Knowledge More ❯

business and liaise with the other departments Develop the technological career paths for the individuals on the team. Strong experience of databases (MySQL, PostgreSQL, Redis) Understanding of scripting languages (Python, Bash, PHP) Expertise with a programming language (Python, Go or Java) Experience of security in a DevOps environment Coding experience for automating/integrating security tools Knowledge of security in More ❯

Demonstrable experience working on a Machine Learning related product or solution. Have experience leading technical workstreams within a software engineering organization. Are skilled and have a deep understanding of Python software development stacks and ecosystems, experience with other programming languages and ecosystems is ideal. Can understand, apply, integrate and deploy Machine Learning capabilities and techniques into other systems. Are familiar … with the Python data science stack through exposure to libraries such as Numpy , Scipy , Pandas, Dask , spaCy , NLTK, scikit-learn. Take pride in writing clean, reusable, maintainable and well-tested code. Demonstrate proficiency in automation, system monitoring, and cloud-native applications, with familiarity in AWS or Azure (or a related cloud platform). Proficient in system analysis and design & Consider More ❯

Kubernetes What We're Looking For 3+ years of commercial experience in software development Solid knowledge of JavaScript frameworks (React preferred) Backend development experience in .NET Core, Node.js or Python Experience with Azure (or AWS/GCP) and CI/CD pipelines Familiarity with both SQL and NoSQL databases such as PostgreSQL or MongoDB A passion for clean, maintainable code More ❯

Engineer Manchester, UK DV Clearance required. Sole UK Citizenship required £44,000 - £64,000 dependent on experience What We're Looking For Strong development experience in Java , JavaScript , or Python Understanding of cloud-based architectures (AWS or Azure) Experience with DevOps tools such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes Familiarity with database technologies like SQL, Elasticsearch, or MongoDB Currently More ❯

the UK with a valid right to work and security clearance Bachelor's degree or equivalent experience Experience as a DevOps Engineer focused on AWS Strong scripting skills (Bash, Python, Ruby) Desirable: AWS Certifications, RHCE, Elasticsearch, Apache NiFi familiarity Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and IT Industries: IT Services and Consulting More ❯

machine learning A Bachelor's degree in computer science or equivalent work experience Bonus Points Additional skills that would be beneficial include: Experience in a startup environment Knowledge of Python frameworks (Django, Flask, FastAPI), Rust, and machine learning libraries Familiarity with Generative AI, MLOps, CI/CD, and cloud platforms (AWS/GCP/Azure) Expertise with container tools like More ❯

Engineer Manchester, UK DV Clearance required. Sole UK Citizenship required 44,000 - 64,000 dependent on experience What We're Looking For Strong development experience in Java , JavaScript , or Python Understanding of cloud-based architectures (AWS or Azure) Experience with DevOps tools such as Jenkins, GitLab, Docker, OpenShift, or Kubernetes Familiarity with database technologies like SQL, Elasticsearch, or MongoDB Currently More ❯

Data Software Engineer. Strong proficiency in SQL and C#/.NET. Experience with OO and functional programming, design patterns, SOLID principles. Hands-on experience with ETL implementations. Knowledge of Python, PySpark, and Databricks is a plus. Experience with Agile methodologies, TDD, CI/CD tools like Github, Azure DevOps, Jenkins. Excellent problem-solving skills and attention to detail. Ability to More ❯

Django, or Flask ). Experience with containerization technologies ( Docker, Kubernetes ). Strong SQL skills and data modeling experience. Understanding of CI/CD pipelines and DevOps practices. Proficiency in Python and Java . Familiarity with web development best practices and design patterns. Knowledge of cloud platforms (preferably Azure) and cloud data warehouses (Snowflake is a plus). Understanding of microservices More ❯

in Computer Science, Engineering, or related field. Proficiency in frontend technologies: HTML, CSS, JavaScript , and frameworks like React.js, Angular, or Vue.js . Strong backend development skills using Node.js, Express, Python (Django/Flask), Java (Spring), or .NET . Experience working with databases: SQL (PostgreSQL, MySQL) and/or NoSQL (MongoDB, DynamoDB) . Familiarity with version control tools (e.g., Git) and More ❯

functional teams Excellent problem-solving ability, especially when facing unclear or incomplete requirements 3+ years of experience designing and implementing Snowflake solutions Expert-level SQL and strong proficiency in Python, Scala, or Java Solid experience with ETL/ELT pipelines using dbt Hands-on experience with cloud platforms (AWS, Azure, or GCP) Familiarity with orchestration tools like Airflow, Dagster, or More ❯