601 to 625 of 5,988 Python Jobs in the UK

registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines Proficiency in data architecture, data modeling, and scalable More ❯

data workflows Own the architecture and maintenance of a GCP-based data lake/lakehouse environment Your Background 4+ years of industry experience in Data Engineering roles Advanced-level Python for data applications and high proficiency in SQL (query tuning, complex joins) Hands-on experience designing and deploying ETL/ELT pipelines Proficiency in data architecture, data modeling, and scalable More ❯

registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including More ❯

registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including More ❯

registry, and lifecycle management, ensuring strong CI/CD practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including More ❯

and coaching to junior team members Key Skills and Experience: Proven experience in an engineering role, with a track record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data More ❯

and coaching to junior team members Key Skills and Experience: Proven experience in an engineering role, with a track record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data More ❯

and coaching to junior team members Key Skills and Experience: Proven experience in an engineering role, with a track record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data More ❯

and coaching to junior team members Key Skills and Experience: Proven experience in an engineering role, with a track record of delivering innovative technology solutions. Strong programming skills in Python, C#, or similar languages. Experience with CI/CD pipelines, containerisation (Docker/Kubernetes) Familiarity with cloud platforms (Azure, AWS, or GCP) Understanding of data engineering principles, including ETL, data More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

production pipelines Take a product-first approach: asking “why,” not just “how” What You’ll Need Essential Skills Startup Mindset: Bias for action, ownership, comfort with ambiguity Backend Development: Python (FastAPI, Flask) + microservices Distributed Systems: Scaling high-volume data systems Cloud: AWS/GCP/Azure (ECS/EKS, S3, Lambda, IAM or similar) Databases: PostgreSQL + strong data More ❯

into consulting deliverables Maintain clear, well-structured documentation Technical Skills Familiarity with modern web technologies (React, CSS, Node, Angular, etc.) Proficiency in at least one general-purpose programming language (Python preferred; Java, C++, etc. also considered) Understanding of core computer science principles (data structures, algorithms, complexity) Exposure to DevOps practices (e.g., GitHub workflows, CI/CD) Desirable: experience with Azure More ❯

in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell Scripting, etc.) 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 ❯

in Infrastructure-as-code tools (such as Ansible, Terraform, etc.) Mandatory experience in creating automation framework using Ansible Strong in one or two Scripting and programming languages (such as Python/Perl, Groovy, Shell Scripting, etc.) 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 ❯

Support testing, monitoring, and performance tuning to maintain high-availability services Essential Skills & Experience Strong software development background, ideally with cloud application delivery Proficiency in programming languages such as Python, React, or Go Experience working with Linux environments and cloud-native development Strong understanding of CI/CD pipelines , source control, and DevOps practices Excellent collaboration and communication skills with More ❯

Cloud Security Engineer certification. Experience with UK public sector or regulated industries (e.g. finance, healthcare). Familiarity with container security (GKE, Kubernetes RBAC, image scanning). Proficiency in scripting (Python, Bash) for automation and tooling. Experience with incident response in cloud-native environments. Previous consultancy experience within UK public sector organisations. If you're interested in the above, reach out More ❯

or Digital Banking) for two years, youll rotate across feature teams to see the whole software development life cycle. Expect hands-on experience in: Software Engineering coding in Java, Python, C#, JavaScript, Kotlin, Swift. DevOps building pipelines and automating releases. Quality Assurance testing, refining and improving customer journeys. This isnt work experience. This is work that matters - from improving mobile More ❯

DevOps, systems engineering, and infrastructure-as-code. The Stack You’ll Work With Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes More ❯

DevOps, systems engineering, and infrastructure-as-code. The Stack You’ll Work With Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes More ❯

Data Science, Bioinformatics, Engineering, or a related field, or equivalent experience. Proven experience designing and deploying MLOps pipelines (MLflow, Azure ML, Azure DevOps etc). Strong programming skills in Python and familiarity with common ML/AI libraries (scikit-learn, tensorflow, Keras etc.). Experience implementing machine learning and large language models (LLMs), encompassing deployment, monitoring, and retraining. Familiarity with More ❯

DevOps, systems engineering, and infrastructure-as-code. The Stack You’ll Work With Here’s a flavour of the tools and technologies you’ll get your hands on: Languages : Python, Rust, shell scripting Automation : Ansible (preferred), Infrastructure-as-Code practices Monitoring : Grafana, InfluxDB (self-hosted) CI/CD : GitHub Actions, local custom runners for hardware-based testing Infrastructure : Docker, Kubernetes More ❯