326 to 350 of 5,893 Python Jobs in England

Deep experience in building modern data platforms using cloud-based architectures and tools Experience delivering data engineering solutions on cloud platforms, preferably Oracle OCI, AWS, or Azure Proficient in Python and workflow orchestration tools such as Airflow or Prefect Expert in data modeling, ETL, and SQL Experience with real-time analytics from telemetry and event-based streaming (e.g., Kafka) Experience More ❯

to a culture of technical excellence and continuous improvement. What You'll Need 7+ years in software engineering, delivering complex distributed systems. Strong proficiency in any modern programming language (Python, Java, Go, etc.) we value depth of knowledge over specific stacks. You'll have the opportunity and support to learn new languages as part of the role. Proficiency in highly More ❯

Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or R for data analysis Business Acumen Ability to learn core business metrics across departments and ability to translate the requirements into business insights with the support of the leadership More ❯

ML systems twhich receive billions of requests per day Expert level know-how of designing and implemention synchronous, asynchronous and batch data processing operations Expert level programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; strong programming skills in Java are a plus Expert level know-how of ML Ops More ❯

business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models that drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication More ❯

analytics and automation solutions in a consulting or enterprise environment. Excellent communication and stakeholder management skills. Strong understanding of machine learning, deep learning, NLP, and statistical modelling. Proficiency in Python, R, SQL, and cloud platforms (Azure, AWS, or IBM Cloud). Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable. Preferred technical and More ❯

Excellent communication and interpersonal skills, with the ability to collaborate effectively across departments and navigate large organisations. Strong project management and organizational skills. Proficiency in programming languages such as Python, Java and Scala, and experience with ML frameworks like TensorFlow, PyTorch, and scikit-learn. Experience with cloud platforms (e.g., AWS), big data technologies (e.g., Spark) as well as other technologies More ❯

years of applicable experience. Experience managing cloud platforms such as Azure, AWS, or similar. Experience operating in Kubernetes platforms like AKS, EKS, or similar. Experience using languages such as Python, Go, C#, Java, or similar. Experience of code collaboration such as GitHub, ArgoCD, or similar. Experience utilizing CI/CD platforms to automate provisioning infrastructure, software builds, tests, and releases. More ❯

environment PREFERRED QUALIFICATIONS - Professional experience with AWS and/or other cloud offerings such as Azure, Google Cloud Platform etc. Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP Previous experience as a Software Engineer, Developer, Solution Architect, DevOps Engineer, etc. Understanding of DevOps practices and tools, including: Continuous Integration/Deployment More ❯

hands-on experience working with large datasets (terabytes or more), capable of identifying data anomalies through efficient queries. Proficiency with Snowflake, Hive, Databricks, and other modern data platforms. Solid Python skills and experience with test automation for data pipelines. Familiarity with tools like Airflow and Spark and understanding of CI/CD principles. Strong collaboration and communication skills; able to More ❯

as Jenkins, GitLab CI, CircleCI, etc. Experience managing a multi-discipline engineering team. Experience with large code bases and third-party dependencies, ideally in the C++ and/or Python ecosystem(s). Experience with containerisation (Docker), infrastructure as code (Terraform), and cloud compute (GCP, AWS, etc.). A solid understanding of DevOps principles and methodologies. Strong written and verbal More ❯

and scripting. Working knowledge of Agile and Lean Software delivery methodologies Experience in setup and administration of Linux based environments Experience in at least 1 common scripting language eg. Python, Node.js, Typescript, Powershell, Bash. Set yourself apart: Confident in leading teams and/or introducing DevOps to new projects Experienced in defining and managing roadmaps for the implementation of DevOps More ❯

and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms More ❯

and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms More ❯

and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms More ❯

and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms More ❯

and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages such as Python and familiar with data science and AI libraries and frameworks. Expert in implementing Agentic AI solutions, MCP protocols and integrating with GenAI based applications. Experience in working with cloud platforms More ❯

mix of disciplines, which allows us to come up with cutting edge, high quality solutions. What background we are looking for: Programmingin one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce UtilisingCI/CD tools, such as Bamboo More ❯

mix of disciplines, which allows us to come up with cutting edge, high quality solutions. What background we are looking for: Programmingin one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce UtilisingCI/CD tools, such as Bamboo More ❯

likes of CI/CD, Kubernetes & Docker. Experience with cloud platforms ideally AWS. Experience of multiple development technologies, ideally including Java, JavaScript, Node.js, React, Spring/Springboot, Kafka, AWS, Python, Jenkins, GitLab, microservices, secure RESTful API's, JSON, API Gateways, event-driven architectures, messaging. Technical knowledge of Oracle Retail Cloud Applications such as MFCS, OIC, Smart Item Hub (SIH) preferred More ❯

Science, Engineering, Physics, Statistics). A PhD is welcome but not required. Experience delivering production-grade data science or engineering solutions, including design, implementation, and deployment Strong proficiency in Python and SQL, with practical experience in designing and implementing efficient data pipelines, including performance tuning and optimization. Proven ability to apply machine learning techniques to real-world problems. Familiarity with More ❯

Engaging commercial stakeholders to gather detailed business requirements and coordinating project activities. Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. Proficient in SQL and Git. Ability More ❯

a consideration of security/performance requirements We are looking for experience in the following skills: Industry experience in Typescript Strong hands-on experience in scripting languages such as Python, Shell, and other scripting languages to support DevOps and Quality Engineering work. Experience with building datastore solutions on at least one No-SQL(Elasticsearch) would be beneficial but not essential. More ❯

Mastery: Expert-level proficiency with at least one major cloud provider (GCP-Preffered, AWS, or Azure), including their data, compute, and storage services. Programming Prowess: Strong programming skills in Python and SQL are essential. Big Data Ecosystem Expertise: Hands-on experience with big data technologies like Apache Spark, Kafka, and data orchestration tools such as Apache Airflow or Prefect. ML More ❯

matter expert Demonstrable expertise with AWS services such as EC2, ECS, EKS, S3, Lambda, RDS, KMS, ELB, SNS, SQS, IAM Scripting abilities with languages such as Shell, Bash, or Python Good coding experience of at least 1 Lambda compatible language Proficient in Infrastructure as Code technologies (eg CloudFormation, CDK, Terraform) Source controlling your code with Version Control Systems, for example More ❯