We are looking for a skilled MLOps Engineer to join our dynamic team, focusing on deploying, managing, and optimising Large Language Models (LLMs) across various platforms. The ideal candidate will have a strong background in MLOps, with experience in deploying more »
London, England, United Kingdom Hybrid / WFH Options
Jobleads-UK
we are heavy AWS users) Docker, Terraform, EKS/Kubernetes used by the Cloud team to run the platform DataDog, ElasticSearch/Fluentd/Kibana and Rollbar to keep it running GitHub with GitHub actions for Sonarcloud, Snyk and solid JUnit/Pact testing to power the CI/ more »
a history of identifying and implementing automation opportunities. Experience working with a variety of data storage and manipulation tools such as SQL, Pandas, Elasticsearch & Kibana, Snowflake. Ability to recognize patterns and establish standards to streamline development and enhance reliability. Excellent interpersonal skills, enabling positive and collaborative relationships with colleagues more »
efficiency.Daily engagement with tools like GitLab for version control, and proficiency in API testing with tools such as Postman.Familiarity with monitoring tools such as Kibana and Grafana for real-time application performance monitoring.Experience with container technologies, such as Docker, and Kubernetes, for creating scalable testing environments.Familiarity with OO programming more »
essential Understanding of one or more global market asset classes Detailed experience working with OMS and EMS platforms Experience with Azure Devops, GIT, ServiceNow, Kibana Excellent command of the English language both written and verbal Experience working in a fast-paced environment with an ability to work under pressure more »
as: SQL, PL/SQL, SAS Macro Language, Python, Scala, Apache Spark, Java, JavaScript etc, using various tools including SAS, Hue (Hive/Impala), Kibana (Elastic Search). Knowledge of data management on Cloud platforms is especially advantageous. more »
Web API • Containers, Lambda • Redis, RabbitMQ, Aurora/PostgreSQL, DynamoDB • Infrastructure as Code (CloudFormation) • High Availability • Scalable & performant platform • OpenSearch/ELK (Elasticsearch, Logstash, Kibana) • AWS The place of work: Hybrid, London office - 2/3 days in office. more »