CNIs, and CSIs) We'd love to see: Experience with Terraform, Ansible, and Cloud Formation for infrastructure as code Experience with cloud-native technologies, such as AWS, GCP, or Azure Experience with BGP ECMP, including its configuration and troubleshooting Experience with developing and maintaining eBPF programs for security, network monitoring, and observability Salary Range = 160000 - 240000 USD Annually + More ❯
London, Prince's, United Kingdom Hybrid / WFH Options
XIST4 IT Recruitment Ltd
Backend Integration Developer – Modern PHP, APIs, Cloud Hybrid: Two days in our client's London office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Xist4
Backend Integration Developer – Modern PHP, APIs, Cloud Hybrid: Two days in our client's Manchester office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing More ❯
Duxford, Heathfield, Cambridgeshire, United Kingdom Hybrid / WFH Options
XIST4 IT Recruitment Ltd
Backend Integration Developer – Modern PHP, APIs, Cloud Hybrid: Two days in our client's Duxford office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing More ❯
Duxford, Cambridge, Cambridgeshire, England, United Kingdom Hybrid / WFH Options
Xist4
Backend Integration Developer – Modern PHP, APIs, Cloud Hybrid: Two days in our client's Duxford office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Xist4
Backend Integration Developer – Modern PHP, APIs, Cloud Hybrid: Two days in our client's London office and three days working from home. On Monday morning, you might be refining an API connection between a collections database and a public-facing More ❯
knowledge of databases (e.g., SQL, NoSQL). Knowledge of Spring Boot framework, Test-driven development, Web Services (REST/SOAP) development and docker containers. Familiarity with Cloud technologies (AWS, Azure, GCP) is advantageous Knowledge of system design (Microservices, event driven architectures, distributed systems) is a plus. Knowledge of one or more of scripting and build automation tools (Ant, Perl More ❯
Cargo, PyPI, NPM). Knowledge of semantic versioning and package distribution best practices. Familiarity with containerization tools like Docker and Docker Compose. Experience working with cloud environments, preferably AWS (Azure and GCP are a bonus). Preferred Experience: Experience hosting and managing Large Language Model (LLM) inference servers. Familiarity with LLM development frameworks such as LangChain, LlamaIndex, or similar. More ❯
performance, and security across the stack. Implement CI/CD pipelines, automated testing, and monitoring solutions. Contribute to infrastructure planning, deployment, and optimization in cloud environments (AWS, GCP, or Azure). Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals). Build real-world AI use cases More ❯
/software design. Knowledge of agile development tools, techniques, and principles. Familiarity with Ansible and Terraform for infrastructure automation. Experience deploying, managing, and scaling applications in cloud environments (AWS, Azure, Google Cloud). Strong grasp of web security: encryption, authentication, authorization, and everything in between. We are always looking for the best candidates, so if you think you would More ❯
architecture, content development, workload automation and use-cases Experienced with technologies such as EDR, SIEM, SOAR, NGFW and their ecosystems Familiarity with cloud technologies, providers (such as GCP, AWS, Azure) Familiarity with attack surface management is a plus Experience in customer-facing roles (internal or external) is a must Self-learner able to drive business outcomes independently Excellent collaboration More ❯
Qualifications: 1+ years building, scaling, and optimizing ML systems. 1+ years in data gathering and preparation for ML models. 2+ years developing performant, resilient, and maintainable code. Experience with Azure for developing, deploying, and monitoring of production ML solutions. Advanced degree in computer science, electrical engineering, mathematics, or a related field. 3+ years with distributed file systems or multi More ❯
Experienced in SAP system integration architecture using SAP BTP or other middleware solutions. Familiarity with data warehousing, reporting and analytics strategy Experience in cloud platforms like AWS, GCP, or Azure is welcome Excellent communication and relationship-building skills, with fluency in English Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for More ❯
Experienced in SAP system integration architecture using SAP BTP or other middleware solutions. Familiarity with data warehousing, reporting and analytics strategy Experience in cloud platforms like AWS, GCP, or Azure is welcome Excellent communication and relationship-building skills, with fluency in English and French. Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive More ❯
Experienced in SAP system integration architecture using SAP BTP or other middleware solutions. Familiarity with data warehousing, reporting and analytics strategy Experience in cloud platforms like AWS, GCP, or Azure is welcome Excellent communication and relationship-building skills, with fluency in English and Dutch Additional info Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive More ❯
driven design, including modeling domains, implementing repositories and enforcing invariants. Proficiency in modern backend tools and frameworks (e.g., ASP.NET Core, Entity Framework, Dapper). Experience with cloud platforms (e.g., Azure, AWS) for deploying and managing backend infrastructure. Nice-to-Haves Experience integrating multiple data backends, such as combining SQL with NoSQL (e.g., MongoDB, Cosmos DB) or streaming systems (e.g. More ❯
Experience : Experience with specific AI/ML use cases relevant to web platforms (e.g., personalization, recommendation engines, chatbots, content generation, fraud detection). Experience with cloud platforms (e.g., AWS, Azure, GCP). Responsibilities: Application Ownership :?Executing the strategy and roadmap set by the director with input from cross-functional stakeholders into a strategic planning process. Assist in defining the More ❯
sunbury, south east england, united kingdom Hybrid / WFH Options
bp
Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯
Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯
Guildford, Surrey, United Kingdom Hybrid / WFH Options
BP Energy
Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯
Sunbury-On-Thames, London, United Kingdom Hybrid / WFH Options
BP Energy
Scikit-learn. Deep understanding of machine learning algorithms, statistical modelling, and data structures, with a focus on practical application and performance trade-offs. Experience with cloud platforms (e.g., AWS, Azure) and containerisation (Docker, Kubernetes). Familiarity with MLOps practices and tools (e.g., MLflow, SageMaker, Airflow). Experience working with large-scale datasets and distributed computing frameworks (e.g., Spark). More ❯
to lead testing efforts and mentor junior team members. Strong problem-solving skills, with an emphasis on consensus building and collaboration. Nice to have skills Strong experience with AzureDevOps, Azure, Git, and SQL. Proficiency in Jira, Confluence A good knowledge of financial products used in Asset Management including, Equities, Cash, Fixed Income and complex Swap instruments. Potential for growth More ❯