58 mechanical engineering English-speaking jobs in Lille

talent.Manage and grow your own client portfolioSource, qualify, and place candidates across tech, IT, engineering

project.After your training you will start working independently on projects within different domains, such as engineering

intelligence initiativesDrive threat modelling, table top exercises and other SecOps practices across Engineering ... implement and track SecOps KPIsPlan and deliver SecOps work in the framework of Canonical's agile engineering

in EnglishWhat we consider as an advantage:Frontend development experienceData science/optimization engineering ... models in productionCreate development workflows enabling rapid experimentation and deploymentEstablish engineering

optimize tools & documentation for incident management and automationTroubleshoot high-impact issues with engineering

A call interview with a manager from the engineering team located in Lille.

conferences, partners, etc.)Experience & QualificationsRequired :Master’s or PhD in AI / ML, biomedical engineering

by the ANR project MELISSA (MEthodological contributions in statistical Learning InSpired by SurfAce engineering

by the ANR project MELISSA (MEthodological contributions in statistical Learning InSpired by SurfAce engineering

Python: master common libraries such as Numpy,Pandas, Matplotlib, and perform data cleaning, feature engineering

remediation of production incidents- Troubleshoot high-impact production issues in collaboration with other engineering

production incidents, automating as much as possibleTroubleshoot high-impact issues working with multiple engineering

during incidents or for cross-cutting feature implementation.Manager information: William Paumier is an Engineering

fault-tolerance, load balancing, and energy efficiency optimizationShare knowledge within the team and broader engineering

teams such as Hardware Support, Network, Admin Console, and Gateway.Manager : Erwan Paillard is an Engineering

by the ANR project MELISSA (MEthodological contributions in statistical Learning InSpired by SurfAce engineering

is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering

is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering