1,326 to 1,350 of 5,563 Python Jobs in England

experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with More ❯

standard decisioning software like FICO Blaze Advisor, Pega, or other rule-based and predictive analytics tools. Data and analytics: Expert knowledge of data analysis tools and programming languages (eg, Python, R, SAS) and proficiency in database and data warehousing technologies. System integration: Experience with enterprise-level system architecture, including integrating decisioning engines with customer-facing applications, credit bureaus, and internal More ❯

system design). Experience with no-code/low-code platforms and the ability to navigate them fluently. Experience with cURL, Postman or Swagger. Solid programming skills in C#, Python and JavaScript/TypeScript. Experience building and integrating APIs. Knowledge of cloud platforms (e.g. Firebase, AWS, GCP) and DevOps tools is a big plus. A builder’s mindset — ready to More ❯

win new projects The brief in short: Tech Lead/Engineering Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy More ❯

experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with More ❯

experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with More ❯

experimentation, and integrate active learning loops that improve AI models over time. REQUIREMENTS 2 years of proven experience in data engineering for ML/AI, with strong proficiency in Python, SQL, and distributed data processing (e.g., PySpark). Hands-on experience with cloud data platforms (GCP, AWS, or Azure), orchestration frameworks (e.g., Airflow), and ELT/ETL tools. Familiarity with More ❯

of Engineering/CTO on delivery metrics, operational risks, and team performance. Required Skills & Experience Strong experience managing AWS environments Lambda, EC2, S3, CloudFormation, IAM, CloudWatch. Hands-on with Python , JSON , and serverless architectures . Deep understanding of CI/CD (GitHub Actions, Jenkins, or AWS CodePipeline). Proven ability to secure and scale production systems. Monitoring and observability tools More ❯

system design). Experience with no-code/low-code platforms and the ability to navigate them fluently. Experience with cURL, Postman or Swagger. Solid programming skills in C#, Python and JavaScript/TypeScript. Experience building and integrating APIs. Knowledge of cloud platforms (e.g. Firebase, AWS, GCP) and DevOps tools is a big plus. A builder's mindset — ready to More ❯

system design). Experience with no-code/low-code platforms and the ability to navigate them fluently. Experience with cURL, Postman or Swagger. Solid programming skills in C#, Python and JavaScript/TypeScript. Experience building and integrating APIs. Knowledge of cloud platforms (e.g. Firebase, AWS, GCP) and DevOps tools is a big plus. A builder’s mindset — ready to More ❯

win new projects The brief in short: Tech Lead/Engineering Lead experience – leading pods of around 3–6 engineers Strong, recent hands-on coding in .NET, Java, or Python (not just oversight) Deep experience in cloud architecture and infrastructure , (AWS or Azure, Terraform, Kubernetes, CI/CD) Proven ability to re-architect or modernise platforms – ideally moving from legacy More ❯

planning Learn from and be mentored by experienced ML Engineers and technical leaders What We're Looking For Must Have Practical experience deploying ML models into production environments Strong Python development skills and understanding of ML model structures Familiarity with tools such as MLflow, Airflow, SageMaker, or Vertex AI Understanding of CI/CD concepts and basic infrastructure automation Ability More ❯

with Microsoft Azure services. Proven expertise in designing and managing Azure infrastructure solutions. Strong knowledge of Azure networking, security, identity, and cost management. Scripting and automation experience (PowerShell, CLI, Python). Experience with hybrid cloud environments and on-premise to cloud migrations. Familiarity with Infrastructure as Code tools such as Terraform. Strong communication skills and the ability to document and More ❯

re a technologist who enjoys collaborating and problem solving, working on complex, distributed systems You have strong backend coding skills - you can come from any tech background (e.g. Java, Python, Full Stack) but be happy to use C# .Net going forward and pick up new things along the way You have experience with public cloud technologies - Azure, AWS, GCP You More ❯

Apply Now" button now for immediate review Kubernetes Engineer, Senior Platform Engineer, Platform Engineer, Senior Platform Engineer, DevOps Engineer, Senior DevOps, Senior Platform Engineer, DevOps, AWS, Kubernetes, Git, GitOps, Python, Golang, Kubernetes Engineer Should you require reasonable adjustments at any point during the recruitment process or if there is a better way for us to communicate, please do let us More ❯

Uphold and advocate for strong engineering, testing, and security principles. Technology Exposure: You will have the opportunity to work with a modern and varied tech stack, including: Backend: Java, Python Frontend: TypeScript, React, Angular, Vue Cloud & Infrastructure: AWS, Azure, Docker, Kubernetes Data: Elasticsearch, Neo4J About You (The Ideal Candidate): A technically curious and adaptable software engineer with experience across modern More ❯

without a traditional product management function Consider business and regulatory contexts when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear More ❯

Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem More ❯

Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical” . Our clients diverse tech stack includes TypeScript, Java, .Net, Scala, Kotlin, Golang, Elixir, Python, .Net, Node.js, and Rust. Experience with one, or more than one of those languages would be preferred. We focus on lean teams without traditional management layers, working in small, collaborative More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical” . Our clients diverse tech stack includes TypeScript, Java, .Net, Scala, Kotlin, Golang, Elixir, Python, .Net, Node.js, and Rust. Experience with one, or more than one of those languages would be preferred. We focus on lean teams without traditional management layers, working in small, collaborative More ❯

Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem More ❯

Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem More ❯

Expertise Bachelor’s or Master’s degree in Data Science, Computer Science, or a related field. 5+ years of experience in data engineering and data quality. Strong proficiency in Python/Java, SQL, and data processing frameworks including Apache Spark. Knowledge of machine learning and its data requirements. Attention to detail and a strong commitment to data integrity. Excellent problem More ❯

still being hands on with technology. We aim to allow growth without becoming “post-technical” . Our clients diverse tech stack includes TypeScript, Java, .Net, Scala, Kotlin, Golang, Elixir, Python, .Net, Node.js, and Rust. Experience with one, or more than one of those languages would be preferred. We focus on lean teams without traditional management layers, working in small, collaborative More ❯