fast-paced environment - Languages : English and Hebrew - Professional experience with cloud offerings such as AWS, Azure, Google Cloud Platform etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP a plus but not a requirement - Previous experience as a Software Engineer, Developer, DevOps Engineer etc. - Understanding of DevOps practices and tools including More ❯
to work in an Agile environment Experience with Microsoft SQL. Experience with ETL Tools and Data Migration. Experience with Data Analysis, Data mapping and UML. Experience with programming languages (Python, Ruby, C++, PHP, etc). The ability to work with large datasets across multiple platforms with confidence. A systematic and analytical approach to problem solving with the ability to communicate More ❯
higher degree in Computer Science, Statistics, Mathematics or related disciplines. Ability to analyse data and communicate outcomes to key stakeholders exploring new data sources with excellent coding skills in Python, R, SQL etc. Understanding of cloud services AWS, Snowflake and Databricks. Evidence of academic training in Statistics. Deep/broad knowledge of machine learning, statistics, optimisation, or related field with More ❯
Sheffield, Yorkshire, United Kingdom Hybrid / WFH Options
Educations Media Group
building and deploying impactful AI solutions. You should possess strong analytical and problem-solving skills, combined with excellent communication and leadership potential. Essential foundational skills include: Deep proficiency in Python or JavaScript/TypeScript and associated AI/ML SDKs. Solid experience with cloud platforms, specifically AWS (including services like SageMaker, Lambda, S3, EC2, Bedrock). Strong software engineering fundamentals More ❯
handle higher complexity work and building solutions from scratch. Expertise in mentoring junior developers. Skills: Programming Proficiency: Strong programming skills in languages commonly used in AI development, such as Python, are crucial. Additionally, proficiency in .Net, Java, JavaScript, etc. is desirable. Hands-On Experience with AI Tools and Frameworks: Practical experience with AI tools and frameworks such as Hugging Face More ❯
. XML (including XSLIT, DOM, SAX) JavaScript AngularJS REACT ASP.NET MVC Encryption & Authentication (e.g. SSL) HTML 5 SQL (e.g. Microsoft SQL Server 2012, 2014, 2016). WiX Python Linux Education: Bachelor or Master degree in Electrical/Electronic or Computer Science and Technology, Software Engineering or other relevant discipline. Minimum 2-year experience within the automotive industry and technology. Key More ❯
hands-on experience managing Databricks environments and developing lakehouse architectures with a focus on automation, performance tuning, cost optimisation, and system reliability. Proven proficiency in programming languages such as Python, T-SQL, and PySpark, with practical knowledge of test-driven development. Demonstrated capability in building secure, scalable data solutions on Azure with an in-depth understanding of data security and More ❯
with tools such as Vagrant. Solid experience as a DevOps Engineer in a 24x7 uptime AWS environment, including automation experience with configuration management tools. Strong scripting skills (e.g., Shell, Python, PowerShell, Perl, JAVA) and automation skills. Thorough knowledge of Jenkins and pipeline using Groovy script. Experience with Docker containers and Amazon Linux 2023 AMI. Experience with system monitoring tools (e.g. More ❯
Cardiff, South Glamorgan, United Kingdom Hybrid / WFH Options
Creditsafe
be gained in many ways. You'll ideally bring: A strong understanding of Agile methodologies. Knowledge of testing frameworks: ATDD, BDD, unit, integration, and acceptance testing. Practical experience with Python or JavaScript, especially for test automation. Understanding of the defect lifecycle and how to manage quality feedback loops. Hands-on experience with AWS (including serverless or cloud-native architecture). More ❯
or Katalon . Proficiency in performance testing tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C# Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such as Jenkins, ADO More ❯
Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO More ❯
South East London, London, United Kingdom Hybrid / WFH Options
TEN10 SOLUTIONS LIMITED
or Katalon . Proficiency in performance testing tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C#, , Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such as Jenkins, ADO More ❯
with tools such as Vagrant. Solid experience as a DevOps Engineer in a 24x7 uptime AWS environment, including automation experience with configuration management tools. Strong scripting skills (e.g., Shell, Python, PowerShell, Perl, JAVA) and automation skills. Thorough knowledge of Jenkins and pipeline using Groovy script. Experience with Docker containers and Amazon Linux 2023 AMI. Experience with system monitoring tools (e.g. More ❯
project execution Qualifications Bachelor's or Master's degree in Computer Science, Engineering, or a related field 5+ years of professional software engineering experience Proficient in backend technologies including Python, with a deep understanding of software architecture and design principles, ability to evaluate different approaches to balance performance, cost, and maintainability Experience with cloud platforms (GCP, AWS) is a must More ❯
to be "on-call" outside of normal business hours. Required Skills: 2+ years of object-oriented design and development in Java. 2+ years with at least 1 scripting language, Python preferred. Experience with continuous integration using related tools such as GIT, Jenkins, Terraform. Experience developing software for cloud environments, Azure preferred. Good communication, verbal and written, and experience in working More ❯
with Snowflake, including advanced data modeling, performance tuning, and security. Cloud Data Mastery: Strong background in cloud data warehousing (AWS, Azure, or GCP). Coding & DevOps: Proficiency in SQL, Python, CI/CD pipelines, and containerisation for data engineering solutions. Problem-Solving: Adept at resolving complex technical issues with a systematic approach. Collaboration & Communication: Excellent interpersonal skills to mentor team More ❯
CI/CD Pipelines: Hands-on experience designing and implementing robust Continuous Integration and Continuous Deployment/Delivery pipelines. Programming and Automation: Proficiency in scripting or programming languages like Python, Go, or Bash for automating workflows and extending platform capabilities. Job Responsibilities: What the role involves: Client Engagements: Take ownership of client engagements from technical and business perspectives, ensuring successful More ❯
learning models in production Proficiency with Kubernetes, Docker, and Cloud (AWS Preferred) Proficiency with CI/CD tools and Frameworks (GitHub Actions preferred) Strong skills with Scripting languages (e.g. Python, Bash), VCS (git), and Linux Proven experience in cross-functional teams and able to communicate effectively about technical and operational challenges. Preferred Qualifications: Proficiency with scalable data frameworks (Spark, Kafka More ❯
understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud More ❯
understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud More ❯
understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud More ❯
understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. - Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. - Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. - Familiarity with cloud More ❯
understanding of core ML algorithms and frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Hands-on experience with data preprocessing, feature engineering, and model training for real-world problems. Strong Python and Java programming skills and familiarity with NLP algorithms and libraries. Solid understanding of basic statistics and how to apply it to real-world machine learning tasks. Familiarity with cloud More ❯
and Tools: Identify opportunities for automation and recommend tools to improve data engineering workflows. Documentation: Maintain detailed technical documentation for all solutions and processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure, GCP, or other More ❯
