876 to 900 of 21,189 Python Jobs in England

a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs) Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines Familiarity with containerization (Docker More ❯

a single page application Some experience with frontend development including HTML5/Sass Any experience with any of the following is a bonus, but not required TypeScript or Dart Python, specifically Django Angular WebGL Sass Experience with the full software lifecycle including interpretation of requirements, unit, integration and e2e testing, CI/CD pipelining Data analytics or background in Maths More ❯

Azure or other cloud platforms (AWS, Google Cloud is a plus). Understanding of networking, virtualization, and operating systems (Windows/Linux). Familiarity with scripting languages like PowerShell, Python, or Bash is a plus. Strong analytical and problem-solving skills. Strong interpersonal skills with the ability to work effectively with cross-functional teams. Excellent written and verbal communication skills More ❯

mitigate and realise them We are looking for: Experience of leading an Agile software development team of mixed abilities Hands-on experience of developing software in Java, JavaScript or Python Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL More ❯

of hands on experience with Azure: Data factory, Databricks, Synapse (DWH), Azure Functions, App logic and other data analytics services, including streaming. Experience with Airflow and Kubernetes. Programming languages: Python (PySpark), scripting languages like Bash. Knowledge of Git, CI/CD operations and Docker. Basic knowledge of PowerBI is a plus. Experience deploying cloud infrastructure is desirable Understanding of Infrastructure More ❯

using tools like Terraform, Azure DevOps, Jira, and GitLab. Effective communication skills with internal customers, team members, and management. Preferred Skills and Experience 3-5 years with Go/Python and/or PowerShell. At least 5 years' hands-on experience with Azure Services. Understanding of financial markets and experience working within a product-centric organization. Strong interpersonal skills and More ❯

company. What we are looking for: Back-end development: Experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker More ❯

finance systems. • Experience with Equation and SQL Server environments. • Technical Skills: • Strong knowledge of software development methodologies (e.g., Agile, Scrum, DevOps). • Proficiency in programming languages (e.g., Java, C#, Python) and software development tools. • Experience with core banking systems (e.g., Equation), Treasury systems, and finance systems. • Proficiency in SQL Server and database management. • Familiarity with cloud technologies (e.g., AWS, Azure More ❯

Experience Bachelor's degree in Computer Science, Engineering, or a related field. At least 3 years of experience in software development, preferably in cloud environments. Strong working knowledge of Python or Go programming language. Experience with Kubernetes is essential, with a preference for candidates holding a Certified Kubernetes Administrator (CKA) certification. Familiarity with container orchestration, and cloud-native development. Knowledge More ❯

opportunities and performance bonuses. For a comprehensive list of benefits, speak to our recruitment team. We are looking for: Hands on experience of developing software in Java, JavaScript or Python Understanding of Cloud-based architectures in AWS or Azure Use of DevOps Automated Deployment tools such as Jenkins, Gitlab, Docker, OpenShift or Kubernetes Understanding of database technologies such as SQL More ❯

looking for: Back-end development: 5+ years of industry experience in back-end engineering developing data platforms or large-scale extract-transform-load (ETL) pipelines. Programming languages: Proficiency in Python for data pipelines, distributed systems and micro-services. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker More ❯

engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or regulated medical environments (such as More ❯

CNN), text mining, topic extraction, NLP, K-Means, decision trees.* Applications: Computer vision, Generative AI, Language Models (e.g., GPT), Retrieval-Augmented Generation (RAG).**Technical Skills:*** Deep knowledge of Python (including libraries such as scikit-learn, Pandas, NumPy).* Experience with Jupyter, Spark/Scala or R, PostgreSQL, and ELK stack.* Proficiency in Java, Kubernetes, Docker, and microservices-oriented architecture. More ❯

Knowledge of Serverless technologies, frameworks and best practices. Experience using AWS CloudFormation or Terraform for infrastructure automation. Knowledge of Scala or OO such as Java or C#. SQL or Python development experience. High-quality coding and testing practices. Willingness to learn new technologies and methodologies. Knowledge of agile software development practices including continuous integration, automated testing and working with software More ❯

to thought leadership and industry presence. Skills and Experience Minimum 8 years of commercial software development experience, with at least 3 years in a senior or technical lead role. Python (including frameworks like Django, Flask, or FastAPI) PostgreSQL and relational database design, optimization, and maintenance. AI Development Tools such as Windsurf, Aider or Augment. Demonstrable experience building and scaling SaaS More ❯

ll Bring Hands-on experience building CI/CD pipelines using tools such as Ansible, Terraform, Concourse, Jenkins, or GitHub Actions . Proficient in one or more programming languages: Python, Java/Groovy, JavaScript, NodeJS . Deep understanding of IT infrastructure, including: Linux system administration Database management (SQL/NoSQL) Storage solutions (NAS, SAN, S3) Networking (DNS, VPN, Load Balancing More ❯

ll Bring Hands-on experience building CI/CD pipelines using tools such as Ansible, Terraform, Concourse, Jenkins, or GitHub Actions . Proficient in one or more programming languages: Python, Java/Groovy, JavaScript, NodeJS . Deep understanding of IT infrastructure, including: Linux system administration Database management (SQL/NoSQL) Storage solutions (NAS, SAN, S3) Networking (DNS, VPN, Load Balancing More ❯

engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or regulated medical environments (such as More ❯

ll Bring Hands-on experience building CI/CD pipelines using tools such as Ansible, Terraform, Concourse, Jenkins, or GitHub Actions . Proficient in one or more programming languages: Python, Java/Groovy, JavaScript, NodeJS . Deep understanding of IT infrastructure, including: Linux system administration Database management (SQL/NoSQL) Storage solutions (NAS, SAN, S3) Networking (DNS, VPN, Load Balancing More ❯

typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data. You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc. You’ve got a background in software engineering. You’re a problem-solver, pragmatically exploring options and finding effective solutions. An understanding of how to More ❯

practical experience). - 1-2 years of experience in back-end development or related field, with a focus on server-side technologies. - Strong knowledge of programming languages such as Python, Java, or Node.js, and experience with back-end frameworks. - Familiarity with databases (SQL and NoSQL) and experience in building and optimizing data storage solutions. - Understanding of RESTful APIs, microservices architecture More ❯

of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g. TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong software engineering skills, including version control (Git), code More ❯

overlap with the UK head office. Responsibilities Responsibilities will include: Design and development of server-side technologies to scale and deploy IQVIA NLP’s core NLP algorithms using Java, Python, and other tools. Working across multiple teams to create new internal or customer-facing solutions supporting the life science and healthcare sectors. Occasional integration of IQVIA NLP products with third More ❯

Python. Proven experience deploying and maintaining LLM services and solutions. Expertise in Azure DevOps and GitHub Actions. Familiarity with Databricks CLI and Databricks Job Bundle. Strong programming skills in Python and SQL; familiarity with Scala is a plus. Solid understanding of AI/ML algorithms, model training, evaluation (including hyperparameter tuning), deployment, monitoring, and governance. Experience in handling large datasets More ❯

a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI APIs) Experience with cloud platforms (AWS, GCP, or Azure), deployment, and CI/CD pipelines Familiarity with containerization (Docker More ❯