ethics and policies. Providing technical guidance on ML implementation. Programming in Python, Java, .Net, JavaScript, or C++. Using MLOps tools and frameworks. Version control with Git, Mercurial, or Perforce. Containerization with Docker, Kubernetes. Preferred experience includes refining models with data scientists, defining MLOps strategies, ensuring data quality, conducting data analysis, maintaining documentation, working with cloud ML services (AWS, Azure), integrating More ❯
aligned to the SLAs • Continuously seeking opportunities for system performance improvements • A passion for learning new technologies and innovation Desirable: • Experience of working on AWS • Linux and Windows administration • Containerisation experience such as Docker, Kubernetes or OpenShift • Experience of security protocols such as PKI, TLS etc #LI-JS2 Together, as owners, let's turn meaningful insights into action. Life at More ❯
in software engineering essentials such as unit testing, CI/CD, integration testing, and ensuring code reliability and reproducibility. Familiarity with cloud providers (e.g., Google Cloud, Microsoft Azure) and containerization tools like Docker is a big advantage. You are highly motivated to deliver exceptional outcomes for our customers and keep the big picture in mind to proactively identify and solve More ❯
highest level of proficiency developing applications using most of the following: C# ASP.NET, .Net Core AWS products like Lambdas, DynamoDB, etc., but also comfortable in Azure and Azure DevOps Containerisation and Infrastructure as Code (IaC) approach (Terraform is a plus) A solid understanding of development methodologies and design patterns Golang/Python are also a plus Experience with the following More ❯
and ethics Providing technical guidance to cross-functional teams Programming in Python, Java, .NET, JavaScript, or C++ Using MLOps tools and frameworks Source control with Git, Mercurial, or Perforce Containerization with Docker, Kubernetes Additional experience in the following is desirable but not mandatory, and we will support your development: Refining models in collaboration with data scientists Improving MLOps processes Ensuring More ❯
and ethics Providing technical guidance to cross-functional teams Programming in Python, Java, .NET, JavaScript, or C++ Using MLOps tools and frameworks Source control with Git, Mercurial, or Perforce Containerization with Docker, Kubernetes Additional experience in the following is desirable but not mandatory, and we will support your development: Refining models in collaboration with data scientists Improving MLOps processes Ensuring More ❯
React, with a solid understanding of their ecosystems. Experience with modern development tools and practices, such as Git, CI/CD pipelines, automated testing frameworks (e.g., Jest, Mocha), and containerisation technologies (e.g., Docker). Knowledge of RESTful API design and development, and familiarity with web services architecture. Ability to write efficient, secure, well-documented, and clean JavaScript code. Familiarity with More ❯
hands-on experience with lift and shift projects, preferably in a complex, regulated environment. Solid understanding of networking, storage, and security principles in cloud and hybrid environments. Experience with containerization, virtual machines, and related deployment strategies. Ability to diagnose and troubleshoot technical issues related to cloud migration. Familiarity with on-premises infrastructure, legacy applications, and modernization strategies. Desirable: Exposure to More ❯
EC2, S3, Lambda). Experience with PHP, C#, .NET Core, React, Python, AWS EKS. Experience working on AI projects ideal! Strong knowledge of Git, CI/CD pipelines, and containerization (Docker/Kubernetes). Experience working in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to More ❯
retrieval frameworks (e.g., LangChain, LlamaIndex). Hands-on experience with fine-tuning and distillation of large language models. Comfortable with cloud platforms (Azure preferred), CI/CD tools, and containerization (Docker, Kubernetes). Experience with monitoring and maintaining ML systems in production, using tools like MLflow, Weights & Biases, or similar. Strong communication skills and ability to work across disciplines with More ❯
MySQL, MSSQL, PostgreSQL). Proficiency in scripting languages (Bash, PowerShell, Python). Ability to lead cross-functional teams and manage stakeholder expectations. Preferred technical and professional experience Experience with containerization technologies (Docker, Kubernetes). Familiarity with ITIL processes and Integrated Service Level Management. Knowledge of networking protocols and best practices. Background in software development or IT consulting Expertise in migration More ❯
validation of outcomes and results Excellent communication, documentation, and cross-team collaboration and contribution skills Experience in financial services or other highly regulated sectors Exposure to hybrid cloud operations, containerization (e.g., Podman, Docker, Tanzu), or cloud-native UNIX alternatives. Familiarity with enterprise CI/CD tooling (Jenkins, GitHub Actions, ServiceNow integration). Relevant certifications (preferred but not required). Working More ❯
managing applications at scale. Strong understanding of data lake architectures, including experience with data ingestion, storage, processing, and retrieval of large volumes of structured and unstructured data Familiarity with containerization technologies like Docker and Kubernetes Strong advocate for clean code principles, testing methodologies (unit, integration, TDD, etc.), and CI/CD pipelines. Solid understanding of data structures, algorithms, and software More ❯
in one or more of Python, Java, .Net, JavaScript, C++. Using MLOps tools and frameworks. Source controlling your code with Version Control Systems, for example Git, Mercurial, Perforce. Utilising containerisation technologies e.g. Docker, Kubernetes. It would be great if you also had experience in some of these, but if not we’ll help you with them Optimising models from data More ❯
We're on a mission to democratize audio creation by building world-class audio infrastructure for our customers. As a Site Reliability Engineer, you'll play a key role in improving our platform's developer operations, including observability, monitoring, and More ❯
We are looking for a passionate and analytical SAP Performance Engineerto join our growing NFT SAP practice in the UK. This role is ideal for someone who thrives in cross-functional environments, is deeply knowledgeable in SAP performance tuning, particularly More ❯
Principal Cloud Native Security Consultant London - Hybrid (2 days in office per week) Report To: Security Engineering Manager Job Location: London - Hybrid (2 days in office per week) Employment Status: Full Time Salary: Competitive and Market Based Who is ControlPlane More ❯
London Arena, United Kingdom Posted on 01/07/2025 Our advanced, location-based technology is changing the way organisations safeguard their people and ensure operations continue, regardless of the situation, time and location. Through a culture of innovation More ❯
Please note this is for London, UK. You only need toapply to one location if there are multiple listed for the job. Apply Now At Ripple, we're building a world where value moves like information does today. It's More ❯
Software Development Engineer in Test (SDET) Fintech | London/Hybrid Join a fast-moving fintech company at the forefront of real-time trading technology. We're looking for a skilled SDET to help drive quality across a suite of high More ❯
Employment Type: Full-Time
Salary: £65,000 - £80,000 per annum, Negotiable, OTE
skills and ability to collaborate effectively with cross-functional teams. Desirable Skills • Experience with GCP and managing GKE Kubernetes clusters. • Familiarity with Argo CD for continuous delivery. • Knowledge of containerisation technologies such as Docker. • Understanding of cloud security best practices and identity management. More ❯
solutions. Provision infrastructure for new projects and products. Support project delivery and provide infrastructure design expertise. Maintain and improve configuration management (Puppet) and DevOps processes. Lead the transition to containerization and GitOps workflows. The ideal DevOps Manager will have experience in: Extensive infrastructure engineering experience with Linux systems. Kubernetes. AWS. Experience managing junior and senior engineers. Ability to work in More ❯
Immediate Our client is looking for an experienced DevOps Engineer to join on a short-term, project based contract. You'll be supporting a modern CI/CD practice, containerisation and infrastructure as code within an AWS environment. Key responsibilities: Design and deploy infrastructure using AWS, Terraform and CloudFormation Build CI/CD pipelines using AWS CodePipeline, Jenkins and Docker More ❯
of the team. Skills and experience required: Experience of cloud technologies preferably Azure Platform Experience of release and deployment tools ideally using Azure DevOps Experience of micro services and containerisation architecture Substantial experience of scripting languages such as PowerShell scripts, YAML, Python Experience of azure automation using arm templates Experience of Linux, Windows Server, Azure SQL Server, Azure Storage, CosmosDB More ❯
. Proficiency in DataWeave , Mule connectors , and custom policies. Solid understanding of MongoDB and its integration with MuleSoft. Strong understanding of cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes) is a plus. Knowledge of CI/CD pipelines , DevOps , and logging/monitoring tools for integration environments. Excellent communication and stakeholder management skills. Preferred Qualifications: MuleSoft Certified More ❯