of hands-on experience architecting and implementing software Bachelor’s degree in engineering, computer science, information systems, or equivalent experience Software engineering experience with Python and one other object-oriented programming language (e.g., C#, Java, C++) Experience working with containers and Kubernetes Experience building RESTful APIs Experience designing solutions architecture More ❯
manual interventions. About You To succeed, you should have: Essential Over 8 years of experience in Site Reliability Engineering or similar roles. Expertise in Python, C++, or Rust, with cloud platform experience (AWS, GCP, Azure). Strong knowledge of CI/CD, containerization (Docker, Kubernetes), networking, distributed systems, and databases. 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 ❯
SQL Server, Data Lake, etc. In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/Java/JavaScript/Python, and PowerShell. Thorough understanding of the fundamental architecture of the cloud and on-prem MSFT Suite. Solid fundamentals and thorough understanding of exception handling principles 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 ❯
SQL Server, Data Lake, etc. In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/Java/JavaScript/Python, and PowerShell. Thorough understanding of the fundamental architecture of the cloud and on-prem MSFT Suite. Solid fundamentals and thorough understanding of exception handling principles More ❯
S3, DynamoDB, MongoDB, or other NoSQL databases Experience following TDD and a passion for clean code principles Proficiency in programming languages such as Java, Python, JavaScript, or React Solid understanding of data structures, algorithms, and SQL Ability to work independently in a fast-paced, rapidly changing environment Bachelor’s degree More ❯
Apps, GitHub, MS Teams, etc. In-depth knowledge & experience using Visual Studio, with one of the programming languages: C#/Java/JavaScript/Python, and PowerShell. In-depth knowledge and thorough experience of using Serverless, SOAP, XML, REST, JSON, EDI, XSLT, Async/Sync, Request/Response, Service Bus 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 ❯
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 More ❯
Key Skills and Qualifications: Bachelor's or master's degree in computer science, Software Engineering, or a related field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus More ❯
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 More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
CipherTek Recruitment
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. More ❯
City Of London, England, United Kingdom Hybrid / WFH Options
CipherTek Recruitment
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. More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
CipherTek Recruitment
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. More ❯
to hear from you if you: Have at least 4 years of professional experience as a backend/platform engineer. Have deep expertise in Python and building reliable data-focused backend services. Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker More ❯
to hear from you if you: Have at least 4 years of professional experience as a backend/platform engineer. Have deep expertise in Python and building reliable data-focused backend services. Have hands-on experience with cloud infrastructure (GCP/AWS/Azure), infrastructure-as-code (Terraform), containerisation (Docker More ❯
in Agile Scrum meetings and activities. Requirements: 4-6 years of experience as a DevOps Engineer or similar role. Experience with scripting languages: Bash, Python, Powershell. Experience with Infrastructure as code technologies like Chef, Terraform or similar technologies. Experience operating software in cloud environments, preferably OCI. Experience with container technologies More ❯
machine learning-focused role. Technical Skills Expertise in designing and deploying ML algorithms, AutoML tools, and AI applications. Proficiency with programming languages such as Python and R, and ML libraries (TensorFlow, PyTorch, scikit-learn). Hands-on experience with cloud platforms (Azure ML) and big data ecosystems (e.g., Hadoop, Spark More ❯
related roles, focusing on ML and AI. Proven expertise in deploying and managing Generative AI models (e.g., GPT, Stable Diffusion, BERT). Proficient in Python and ML libraries such as TensorFlow, PyTorch, or Hugging Face. Skilled in cloud platforms (AWS, GCP, Azure) and managed AI/ML services. Hands-on More ❯
record of being an innovative and pragmatic technology expert. Understanding of Cloud Computing technologies. Strong working knowledge of one or more of the following: Python, GoLang, Terraform, CloudFormation, or Ansible. Experience with Docker, EC2/ASG, Serverless (Lambda), ECS/EKS. Strong foundational knowledge on AWS Networking services: VPC, TGW More ❯
record of being an innovative and pragmatic technology expert. Understanding of Cloud Computing technologies. Strong working knowledge of one or more of the following: Python, GoLang, Terraform, CloudFormation, or Ansible. Experience with Docker, EC2/ASG, Serverless (Lambda), ECS/EKS. Strong foundational knowledge on AWS Networking services: VPC, TGW More ❯
roles AWS Proficiency: Strong understanding of AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g. More ❯
roles AWS Proficiency: Strong understanding of AWS services (e.g., EC2, S3, Lambda, SageMaker, ECS) and cloud infrastructure management Programming and ML Frameworks: Proficiency in Python and experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch CI/CD Experience: Experience with CI/CD tools and practices (e.g. More ❯
