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Machine Learning Engineer

eFinancialCareers
Job LocationLondon
EducationNot Mentioned
SalaryCompetitive salary
IndustryNot Mentioned
Functional AreaNot Mentioned
Job TypePermanent , full-time

Job Description

Join us as a Machine Learning Engineer

  • In this role, youll be driving and embedding the deployment, automation, maintenance and monitoring of machine learning models and algorithms
  • Day-to-day, youll make sure that models and algorithms work effectively in a production environment while promoting data literacy education with business stakeholders
  • If you see opportunities where others see challenges, youll find that this solutions-driven role will be your chance to solve new problems and enjoy excellent career development
What youll doYour daily responsibilities will include you collaborating with colleagues to design and develop advanced machine learning products which power our group for our customers. Youll also codify and automate complex machine learning model productions, includingpipeline optimisation. Well expect you to transform advanced data science prototypes and apply machine learning algorithms and tools. Youll also plan, manage, and deliver larger or complex projects, involving a variety of colleagues and teams across our business. Youll also be responsible for:
  • Understanding the complex requirements and needs of business stakeholders, developing good relationships and how machine learning solutions can support our business strategy
  • Working with colleagues to productionise machine learning models, including pipeline design and development and testing and deployment, so the original intent is carried over to production
  • Creating frameworks to ensure robust monitoring of machine learning models within a production environment, making sure they deliver quality and performance
  • Understanding and addressing any shortfalls, for instance, through retraining
  • Leading direct reports and wider teams in an Agile way within multi-disciplinary data and analytics teams to achieve agreed project and Scrum outcomes
The skills youll needTo be successful in this role, youll need to have a good academic background in a STEM discipline, such as Mathematics, Physics, Engineering or Computer Science. Youll also have the ability to use data to solve business problems, from hypotheses through toresolution. Well look to you to have experience with machine learning on large datasets, as well as experience building, testing, supporting, and deploying advanced machine learning models into a production environment using modern CI/CD tools, including git, TeamCityand CodeDeploy. Youll also need:
  • Experience implementing DevOps and CI/CD for Python-based applications and libraries
  • MLOps configuration skills on Cloud platforms, such as KubeFlow, TFX and Sagemaker
  • Knowledge of Linux, Bash and Unix scripting, as well as an interest in automating Data Science experiences
  • Working knowledge of PyTorch, Tensorflow, Scikit-learn, PySpark and their application to ML training and serving
  • To be a Docker and Kubernetes developer or have administrator experience and an interest in becoming Kubernetes certified

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