151 to 175 of 3,951 Python Jobs in London

Apps Azure Stream Analytics Azure Resource Manager tools: Terraform, Azure Portal, Azure CLI, and Azure PowerShell Proficient in PySpark, Delta Lake, Unity Catalog, and Python Ability to write unit and integration tests using unittest, pytest, etc. Solid understanding of software engineering principles, including SOLID design, dependency injection, code structuring, and More ❯

have: Keen interest in artificial intelligence and machine learning and extensive practical experience with it. Expert knowledge and experience with relevant programming languages (incl. Python), frameworks (incl. Pycharm, OpenAI, HuggingFace, Spark, Azure, AWS). Extensive experience with cloud environments (AWS, Azure, GCP). Ability to write highly performant code working More ❯

hand-on experience in software engineering, with at least 6 years in a leadership role. Strong proficiency in programming languages such as Java, C++, Python, Rust or similar. Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security. Proven ability to manage More ❯

alerting and observability tools (Prometheus, Grafana, ELK Stack, Datadog ). Familiarity with infrastructure-as-code tools like Terraform or CloudFormation. Proficiency in scripting languages (Python, Go, Bash ) and knowledge of software development best practices. Strong understanding of networking, security, and system administration concepts. Excellent problem-solving and communication skills. Self More ❯

Terragrunt) for deploying and managing infrastructure. Automation and Scripting Proficiency with automation tools (e.g., Ansible, Chef, Puppet). Scripting experience in Bash, PowerShell, or Python for system automation. CI/CD and DevOps Practices Experience with CI/CD tools (e.g., Octopus Deploy, GitHub Actions, TeamCity, Jenkins, Azure DevOps). More ❯

solutions to challenging business problems. We prioritise clean, well-tested code with a culture of documentation and knowledge sharing. Our tech stack includes GCP, Python, GitHub, PyTorch, TensorFlow, Scikit-learn, and XGBoost. With mature infrastructure and dedicated teams for Data Engineering, Analytics, and Platform Engineering, our Data Scientists enjoy high More ❯

Terragrunt) for deploying and managing infrastructure. Automation and Scripting Proficiency with automation tools (e.g., Ansible, Chef, Puppet). Scripting experience in Bash, PowerShell, or Python for system automation. CI/CD and DevOps Practices Experience with CI/CD tools (e.g., Octopus Deploy, GitHub Actions, TeamCity, Jenkins, Azure DevOps). More ❯

and ongoing system enhancements. Required Skills & Qualifications: 5+ years of experience in data engineering, backend development, or AI/ML integration. Strong knowledge of Python, FastAPI, Flask, or Node.js for backend API development. Experience with LLM-based architectures, retrieval-augmented generation (RAG), and NLP techniques. Proficiency in SQL, Redshift, and More ❯

engineering, with a focus on healthcare data preferred. Familiarity with NoSQL databases (e.g., MongoDB) and relational databases (e.g., PostgreSQL, MySQL). 5+ years in Python and SQL work. Knowledge of ETL tools (e.g., Apache Airflow) and cloud platforms (e.g., AWS, Azure, GCP). Understand data modelling concepts and best practices. More ❯

Queueing and Streaming Fabrics (e.g. AMQP, Kafka, Kinesis). Docker and Kubernetes. Scripting (Shell and PowerShell). Basic Coding with a bias for Infrastructure (Python, Go, C#). IAM Policy and Authentication/Authorization schemes. Web Services and REST API. Databases and Storage Systems. Development Build, Test, and Deployment Pipelines. More ❯

You have led client delivery across a range of projects, including data science, data engineering, data security, and proven experience in relevant technologies (e.g., Python applied to data science). You have experience working on cloud-based infrastructure (e.g., AWS, Azure, GCP). You have demonstrable continuous personal development. You More ❯

a similar role with a strong focus on quality assurance of data and machine learning models. Strong experience with SQL and programming languages like Python or R for data analysis and pipeline development. Deep understanding of data modelling, data access, and data storage techniques. Familiarity with machine learning frameworks and More ❯

of SecOps and FinOps Proven troubleshooting and problem solving abilities Preparedness to undergo national Security Check vetting Preferred (but not essential) AWS automation with Python Azure certification in one or more disciplines, especially related to DevOps Building and maintaining solutions in technologies such as Kubernetes About i2 Our intelligence analysis More ❯

Experience with ML batch training and inference. Experience with ML Experiment tracking. Experience with ML Serving. Experience with High Performance Computing. Experience developing in Python or another commonly used scripting language. Robust experience in AI model development across the full model lifecycle and with multiple mediums (natural language, computer vision More ❯

in a fast-paced startup or scale-up environment. Strong technical expertise in software development, with proficiency in one or more programming languages (e.g., Python, JavaScript, Java, etc.). Solid understanding of modern software development methodologies, tools, and practices, including Agile/Scrum, CI/CD, and DevOps. Demonstrated ability More ❯

REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model, python knowledge is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in DevOps development and More ❯

REST APIs & micro services-based solutions. Should have experience writing unit/integration tests Experience writing SQL queries and good understanding of data model, python knowledge is a plus. Working knowledge in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in DevOps development and More ❯

delivery. Who you are: Solid technical foundation in both machine learning and software engineering. Experience deploying machine learning models in production environments. Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). Familiarity with cloud platforms like GCP, AWS, or Azure. Experience with CI/CD pipelines More ❯

implementing REST APIs & microservices-based solutions. Should have experience writing unit/integration tests. Experience writing SQL queries and good understanding of data model, Python knowledge is a plus. Basic Knowledge of User Interface design & development using Angular, React, HTML5, XML & CSS. Working knowledge in AWS cloud (EC2, ECS, Load More ❯

learning for engineering practices, such as meta driven intelligent ETL and pipeline processes. Strong skills in relevant programming languages, frameworks, and platforms including SQL, Python, Spark, R etc. A strong track record of achievement in data engineering. Experience/understanding of data lifecycle management frameworks and project management methodology. Practical More ❯

5+ years of experience in an engineering industry, specializing in data engineering, data processing, or related fields. Proficient in multiple programming languages such as Python, C++. Java. Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks. Skilled in managing distributed computing management systems, like SLURM, LSF. More ❯

5+ years of experience in an engineering industry, specializing in data engineering, data processing, or related fields. Proficient in multiple programming languages such as Python, C++. Java. Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks. Skilled in managing distributed computing management systems, like SLURM, LSF. More ❯

5+ years of experience in an engineering industry, specializing in data engineering, data processing, or related fields. Proficient in multiple programming languages such as Python, C++. Java. Extensive experience with data processing tools and platforms such as Kafka, Flink, Databricks. Skilled in managing distributed computing management systems, like SLURM, LSF. More ❯

Python Model Developer – Risk £80,000 - £100,000 basic 3 days onsite, 2 days wfh City of London A leading fintech is looking to expand their risk team and add an experienced Python Model Developer to develop and deploy Python-based risk models, enhance automation, and support cloud migration (GCP … risk models. Collaborate with teams to refine risk strategies. Optimise reporting and infrastructure. Enhance and improve legacy codebase. What You’ll Need Expertise in Python, SQL, and GitLab. Experience in risk model development (LGD, PD, VaR, etc.). Background in banking or consulting. Perks & Benefits Competitive salary & flexible benefits. Private More ❯

Python Model Developer – Risk £80,000 - £100,000 basic 3 days onsite, 2 days wfh City of London A leading fintech is looking to expand their risk team and add an experienced Python Model Developer to develop and deploy Python-based risk models, enhance automation, and support cloud migration (GCP … risk models. Collaborate with teams to refine risk strategies. Optimise reporting and infrastructure. Enhance and improve legacy codebase. What You’ll Need Expertise in Python, SQL, and GitLab. Experience in risk model development (LGD, PD, VaR, etc.). Background in banking or consulting. Perks & Benefits Competitive salary & flexible benefits. Private More ❯