role. Extensive experience in designing, developing, and deploying large-scale systems. Technical Expertise: Deep knowledge of software engineering principles and best practices, particularly in Python, Java, or similar backend technologies. Expertise in designing and implementing distributed systems and cloud-native architectures. Cloud Platforms: Extensive experience with cloud platforms such as More ❯
from a leading university. 5+ years of software engineering experience and building cloud-native architectures Strong knowledge in programming language(s) - including JavaScript and Python Good knowledge of web-based UI development and visualisation of large and complex data sets using JavaScript, ReactJS and related technology Strong knowledge of one More ❯
Soc2, ISO 27001. Successful adaptation of legacy products to work in Azure Cloud and GIT with full migration. Working Knowledge with languages like Java, Python and databases Azure SQL, MySQL and Oracle. Infrastructure planning, provisioning, orchestration in Azure Cloud and On-Premises. Proficiency in scripting such as PowerShell/Bash. More ❯
technologies Good knowledge & experience with development in, and software engineering best practices for Front-end web technologies such as: HTML CSS React Node.js Django Python SQL Good experience of containerization concepts and tools such as Docker and Kubernetes (AKS) Good general knowledge of Microsoft Stack technologies such as MS SQL More ❯
security of the UK. About you You will have experience in many of the following: Programming in one or more of JavaScript, Java, .Net, Python Collaboratively designing and building Proof of Concept or Production systems Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce Utilising CI More ❯
in AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.) Experience in DevOps development and deployment using docker and containers. Python experience is a plus. About S&P Global Ratings At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide More ❯
Document changes, optimizations, and troubleshooting processes. Qualifications: Proven experience as a DevOps Engineer or in a similar software engineering role. Proficiency in coding with Python and Java. Experience deploying applications on cloud platforms (AWS). Proven understanding of CI/CD pipelines and Infrastructure-as-Code (IaC) tools (Terraform, Ansible More ❯
science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with excellent communication and time management skills. Strong computer programming skills, with knowledge of Python, R, and Java. Experience scaling machine learning on data and compute grids. Proficiency with Kubernetes, Docker, Linux, and cloud computing. Experience with Dask, Airflow, and More ❯
generative AI and data engineering, driving innovation and influencing the strategic direction of AI initiatives within the organisation. ? Technical Requirements: Programming Languages: Proficiency in Python and experience with languages such as Java or Scala. ? AI Frameworks: Extensive experience with AI frameworks and libraries, including TensorFlow, PyTorch, or similar. ? Data Processing More ❯
methodologies and principles. Solid understanding of data warehousing, data modeling, and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python, Scala, Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent More ❯
field 5+ years of experience in machine learning and AI development Strong foundation in machine learning algorithms and statistical modeling Expert-level proficiency in Python and related ML libraries (scikit-learn, TensorFlow, PyTorch) Experience with deep learning frameworks and architectures (CNNs, RNNs, Transformers) Practical experience with MLOps tools and practices More ❯
Docker and Kubernetes. Knowledge of automated testing tools and CI/CD pipelines. Experience with additional back-end languages and frameworks (e.g., Rust, Kotlin, Python, C# or Java) is a plus. Experience with debugging tools like curl or Postman Experience with monitoring tools like Prometheus, Grafana, or Envoy’s native More ❯
Docker and Kubernetes. Knowledge of automated testing tools and CI/CD pipelines. Experience with additional back-end languages and frameworks (e.g., Rust, Kotlin, Python, C# or Java) is a plus. Experience with debugging tools like curl or Postman Experience with monitoring tools like Prometheus, Grafana, or Envoy’s native More ❯
the following skills and experience: A degree in Computer Science, Artificial Intelligence, or a related field, or equivalent professional experience Strong programming skills in Python, with experience in machine learning frameworks such as PyTorch, TensorFlow or JAX Hands-on experience fine-tuning LLMs and optimising hyperparameters for improved performance Skilled More ❯
Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Preferred Skills: Experience with programming languages such as Python or R for data analysis. Knowledge of big data technologies (e.g., Hadoop, Spark) and data warehousing concepts. Familiarity with cloud data platforms (e.g., Azure, AWS More ❯
BigQuery, Snowflake). Expertise in data pipeline development, ETL tools, and frameworks (e.g., Apache Airflow, Talend, Fivetran). Proficiency in SQL and experience with Python, Java, or Scala. Familiarity with cloud platforms (AWS, GCP, Azure) and associated data tools (e.g., S3, Lambda, Dataflow). Strong knowledge of data modeling, data More ❯
AWS cloud (EC2, ECS, Load Balancer, Security Group, EMR, Lambda, S3, Glue, etc.). Experience in DevOps development and deployment using Docker and containers. Python experience is a plus. About S&P Global Ratings: At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide More ❯
principles enabling you to build industry leading products, we'd love to hear from you! Requirements Proficiency in at least one programming language (e.g., Python, C#, JavaScript, Kotlin, Java, Go). Experience with Gen AI tools (e.g., LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/ More ❯
for managing cloud resources. Experience with setting up and managing GPU-accelerated environments for large-scale model inference. Programming & Frameworks Strong programming skills in Python and good knowledge of Scala and/or Java. Experience with ML libraries. Solid understanding of distributed processing systems like Spark. Experience building production grade More ❯
Expertise in securing cloud platforms (AWS, Azure) and containerisation technologies (Docker, Kubernetes) with a focus on security. Knowledge in scripting and automation using Bash, Python, or similar programming languages. Understanding of secure coding practices, application security principles, and compliance frameworks. Expertise in implementing security tools (e.g., SAST, DAST, vulnerability scanners More ❯
Expertise in securing cloud platforms (AWS, Azure) and containerisation technologies (Docker, Kubernetes) with a focus on security. Knowledge in scripting and automation using Bash, Python, or similar programming languages. Understanding of secure coding practices, application security principles, and compliance frameworks. Expertise in implementing security tools (e.g., SAST, DAST, vulnerability scanners More ❯
principles enabling you to build industry leading products, we'd love to hear from you! Requirements Proficiency in at least one programming language (e.g. Python, C#, JavaScript, Kotlin, Java, Go). Experience with Gen AI tools (e.g. LangGraph, CrewAI, Hugging Face, OpenAI APIs) and ML frameworks such as PyTorch/ More ❯
analysing and building data telemetry, querying (PromQL), modelling, pipelines and dashboards to provide concise, focused insights and alerts for distributed systems Strong experience with Python and/or GoLang Java (SpringBoot and Micrometer) useful Demonstrable experience working with AWS services like SQS, EKS, RDS, VPC, EC2, Cloudwatch (X-Ray, Metrics More ❯
practical application, looking to deploy newly acquired skills in a working environment alongside data science leads. Key importance: Backend : Django, Django REST Framework (DRF), Python, Wagtail and Webhooks, but more critically the ability to recommend and build the best solution if alternatives are more suited to the final build based More ❯
