1,901 to 1,925 of 20,296 Python Jobs in England

fleets and richer telemetry streams. Ensuring backward-compatibility of APIs while iterating rapidly on new features. Qualifications, Knowledge, Key Skills and Experience Significant backend development experience in production systems (Python, Go, Java, or similar) Strong expertise in designing and implementing microservices and APIs (REST, GraphQL, gRPC) Experience with container orchestration (Docker, Kubernetes) and CI/CD tooling Familiarity with distributed More ❯

experience with large-scale relational and/or NoSQL databases Experience testing data pipelines (ETL/ELT), preferably with tools like Apache Airflow, dbt, Spark, or similar Proficiency in Python or similar scripting language for test automation Experience with cloud platforms (AWS, GCP, or Azure), especially in data-related services Familiarity with data warehousing concepts (e.g., Snowflake, BigQuery, Redshift) Strong More ❯

Infrastructure-as-code tools (such as Ansible, Terraform, etc.) is mandatory. Experience in creating automation frameworks using Ansible. Strong in one or two scripting and programming languages (such as Python/Perl, Groovy, Shell). Knowledge of SCM branch strategies using Git. Experience with unit testing and automated testing tools (such as ReadyAPI, Cucumber, etc.). Familiarity with microservices architecture More ❯

experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with CI/CD, Git, and modern DevOps practices (preferably in Azure DevOps) Excellent communication skills — able to clearly explain technical concepts to both technical More ❯

operationalisation. Experience/Skill Sets: Demonstrable experience in data science, showing strong expertise in data processing, advanced analytics, and model development. Expertise in SQL and statistical programming languages (e.g., Python, R), coupled with a deep understanding of data modelling principles. Mastery of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and their application in complex problem domains. Extensive experience with More ❯

CircleCI, GitLab CI, Azure DevOps). Excellent communication and stakeholder management skills. Bonus Points For Previous experience in a consultancy environment. Hands-on coding experience in additional languages like Python, Ruby, Scala, PHP, or C++. Knowledge of performance testing tools like JMeter, Gatling, K6, or Neoload. What's in It for You? At Ten10, we believe in recognizing and rewarding More ❯

machine learning, deep learning and AI, particularly in LLM and RAG technologies, with knowledge of LLM Agents, explainable AI and/or graph ML as a plus. Proficiency in Python, PyTorch and/or Tensorflow, and popular data science libraries, as well as development skills with Docker, Linux, GitHub/Gitlab, GPUs, and cloud services. Exposure to knowledge graphs and More ❯

You have a deep understanding of cloud infrastructure and services including best practices around monitoring, scaling and security tools e.g. DataDog You have strong scripting skills with PowerShell (or Python) You have a good knowledge of basic networking, TCP/IP You have a good understanding of IaC, they use Pulumi but Terraform experience is fine You have experience in More ❯

tests using SQL Ability to make informed build-or-buy decisions by evaluating technical trade-offs, integration complexity, long-term maintenance, and business impact Expert-level coding skills in Python, Scala, Java, or similar languages, with deep hands-on experience in ML frameworks (e.g., TensorFlow, PyTorch) and distributed data systems (e.g., Spark, BigQuery) Effective communicator and technical collaborator who proactively More ❯

fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured More ❯

to work in an Agile environment Experience with Microsoft SQL. Experience with ETL Tools and Data Migration. Experience with Data Analysis, Data mapping and UML. Experience with programming languages (Python, Ruby, C++, PHP, etc). The ability to work with large datasets across multiple platforms with confidence. A systematic and analytical approach to problem solving with the ability to communicate More ❯

years previous experience Be a graduate or of graduate calibre, will have a technology background, and hold a formal project management qualification. Technical proficiencies: .NET stack, C#, Python, React, Angular, SQL Experience in CI/CD pipelines, GitHub projects, GitHub Enterprise Server, Azure DevOps, container technologies (Docker, Kubernetes etc.,) and API gateway Proven track record of managing and delivering projects More ❯

experience with Azure tooling, including: Databricks, Data Factory, Data Lake, and Synapse (or similar data warehouse tools) Azure Analysis Services or comparable BI tooling Solid programming capability in: SQL, Python, Spark, and ideally DAX Familiarity with CI/CD, Git, and modern DevOps practices (preferably in Azure DevOps) Excellent communication skills — able to clearly explain technical concepts to both technical More ❯

in AI/Machine Learning , Statistical Analysis , and Algorithm Design Strong experience in Data Lifecycle Management , Predictive Analytics , Data Governance , and Cloud Computing Proficient in Programming/Scripting (e.g., Python, R, SQL) and developing scalable data solutions Skilled in Data Commercialisation , KPI Design , Business Analysis , and Data Model Management Strong understanding of AI Ethics and responsible data use Proven ability More ❯

fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured More ❯

fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured More ❯

fraud detection techniques, anomaly detection and compliance analytics Strong understanding of ML Ops principles and experience in deploying and managing AI/ML models in financial systems Proficiency in Python and familiarity with AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow, Airflow and financial-specific platforms like Bloomberg Terminal, SAS, or MATLAB Experience with structured More ❯

to work in an Agile environment Experience with Microsoft SQL. Experience with ETL Tools and Data Migration. Experience with Data Analysis, Data mapping and UML. Experience with programming languages (Python, Ruby, C++, PHP, etc). The ability to work with large datasets across multiple platforms with confidence. A systematic and analytical approach to problem solving with the ability to communicate More ❯

processes, help with hiring, and shape our engineering culture. You should apply if you have: Strong core programming skills in server-side languages such as C++, Java, Rust, or Python 5+ years of professional experience A degree in Computer Science, Engineering, or a related field (or equivalent experience) A deep enthusiasm for expanding your knowledge across diverse technologies Ideally, you More ❯

at scale, including both batch processing and real-time streaming architectures. Deep understanding of data warehousing concepts, ETL/ELT processes, and analytics engineering. Strong programming skills, particularly in Python, Scala or Java, and a solid understanding of cloud platforms (AWS, GCP, or Azure). Experience working with privacy-sensitive datasets and implementing robust data observability and governance. A strong More ❯

essential. Competencies and Personality Strong expertise in AWS (EC2, S3, Lambda, RDS, VPC, IAM). Hands-on Kubernetes experience (EKS, K3s, or self-managed). Proficiency in scripting with Python, Bash, or Go. Experience with Infrastructure as Code (Terraform, CloudFormation, Ansible). Familiarity with observability tools (Prometheus, Grafana, Datadog, ELK). Solid understanding of networking (VPC, Load Balancers, DNS, Firewalls More ❯

TCP, HTTP. Cloud security fundamentals: least privilege access, security groups, isolated networks. Knowledge of technologies such as Task orchestration, ELT, Serverless, Event Streaming is a plus. Some experience in Python and API development. We value individuals who combine expertise and ambition with optimism—those interested in changing the world for the better—and who possess the drive and intelligence to More ❯

range of technical abilities e.g. Data Engineering, Machine Learning, Cloud, DevOps & Software Good theoretical understanding of machine learning, neural networks, and other computer vision topics Hands-on experience with Python and PyTorch Hands-on experience with MLOps frameworks and platforms (We use ClearML!) Experience with additional programming languages and frameworks is a plus Experience working with cloud platforms (GCP, AWS More ❯

handle higher complexity work and building solutions from scratch. Expertise in mentoring junior developers. Skills: Programming Proficiency: Strong programming skills in languages commonly used in AI development, such as Python, are crucial. Additionally, proficiency in .Net, Java, JavaScript, etc. is desirable. Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face More ❯

higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with More ❯