Save Job Back to Search Job Description Summary Similar JobsJoin A Growing Team Working On Exciting ProjectsHybrid WorkingAbout Our ClientOur client is a fast growing fin-tech based in London who are looking to rapidly expand their data function and capabilities while they grow not only in the UK but also on a global scale.Job DescriptionYour main responsibilities as an ML Ops engineer will include but will not be limited to:Building and maintain machine learning infrastructureDeploying machine learning models into productionWorking with the Analytics team to optimise existing ML modelsCollaborating with data scientists to implement new machine learning algorithmsParticipating in the design and review of machine learning systemsEnsuring data quality and integrity in machine learning systemsMonitoring the performance of machine learning models in real-timeTroubleshooting and resolve issues with machine learning models and infrastructureThe Successful ApplicantA successful candidate will have the following:Strong understanding of machine learning algorithms and principlesExperience with machine learning frameworks and librariesProficiency in programming languages such as PythonStrong problem-solving skills and attention to detailExcellent communication skills, both written and verbalAbility to work collaboratively with a teamAn understanding of CI/CD principles, containerisation (Docker, Kubernetes)As a desirable, experience with any of the following would be a bonus:Terraform, AWS, Rackspace, Helmchart, Jenkins, SnowflakeWhat's on OfferFor a successful ML Ops engineer there is the possibility to work in a hybrid format earning a competitive day rate with a leading fin-tech client of ours on an initial 6 month contract with the possibility of an extension.ContactJamal Brade-ArtryQuote job refJN-012025-6651308Phone number+44 207 269 2345Job summaryJob functionTechnologySubsectorData AnalysisSectorFinancial ServicesLocationLondonContract typeTemporaryConsultant nameJamal Brade-ArtryConsultant phone+44 207 269 2345Job referenceJN-012025-6651308