Senior ML Engineer

Callsign ,
London, Greater London
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Overview

Job Description

Callsign is rapidly expanding its technology platform and is looking for excellent engineers to join their machine learning engineering team, responsible for productionising state-of-the-art ML models for real-time behavioural prediction and anomaly/threat detection. Responsibilities * Work across the machine learning life-cycle productionising state-of-the-art behavioural prediction and anomaly/threat detection models. * Developing CI/CD testing pipelines. * Collaborating closely with the Data Science research team to automate research tasks and applying software and testing best practices to machine learning source code. * Collaborating closely with the Data Engineering and Dev-Ops teams on the deployment and monitoring of live production models. Requirements * 5 years experience working in production software teams. * Strong knowledge of python mathematical libraries and machine learning frameworks. * Strong software engineering skills, including unit and integration testing and developing CI / CD pipelines. * Ability to optimise code heavily using pythons mathematical libraries (including sklearn, numpy and pandas) for both batch and online operation. * Experience with python environment managers conda, venv or similar. * Experience developing applications for containerised environments (Kubernetes, Docker, Istio/Linkerd, etc.) * Experience optimising machine learning models for online and batch operation. * Strong SQL skills. * Experience with cloud compute platforms (AWS, GCP, Azure, etc.) Valuable skills/background, though not essential: Msc/PhD in Computer Science, Machine Learning or a similar quantitative field. An interest in bayesian machine learning, anomaly/novelty detection, one-shot learning and supervised learning. An interest in fraud prevention and cybersecurity. Familiarity with NoSQL databases. Experience working in agile teams Experience collaborating with QA engineers and resolving production bugs. Experience with Java/Scala or other compiled languages. Experience with big data technologies (Spark, Hadoop or Hive etc.) Experience with Kubernetes. Experience with building pipelines with managers such as Airfow, MLFlow or Kubeflow. Experience with messaging technologies (Apache Kafka, AWS Kinesis, SNS, SQS, etc.) Understanding and experience designing infrastructure for scalability, resiliency and performance as well as observability (logging, metrics, tracing Benefits Automatic Option: * Health Insurance single * Life Insurance * Employee Assistance Program * 3 months full pay maternity & 2 weeks full pay paternity (if the statutory minimum is met) * 25 days of annual leave + Callsign Bank Holiday (not included in holiday allowance) * Free Financial Advise Optional: * Cycle to work scheme * Wills and Estates our benefits provider has partnered with a third party who offers a discount * Home Utilities our benefits provider has partnered with a third party who offers a discount * Cycle Insurance * Health cash plans * Cyclist protection * Discounted gym membership

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