Senior Machine Learning Engineer

**Senior Machine Learning Engineer working on a Global Platform – London based**

A Technology provider to digital media agencies seeks an experienced Machine Learning Engineer to join their global team.

The company has developed an advanced technology suite to provide advertisers a single source for data analytics, digital services, ad operations and more, with a fully transparent data/technology architecture. The platform will improve insights into targeted audiences through use of hundreds of data sources, allowing agencies to successfully communicate with their consumers across all media, all while knowing the platform is supported by a team of data scientists, data engineers, product specialists and digital practitioners.

The senior machine learning engineer works within the product & data science team, helping to implement new components of the product. The work is varied, and project based and will require wide technical experience. You will turn business problems into technical requirements and will lead the architecture of data and machine learning solutions alongside hands on software development. You will be responsible for delivering end to end solutions, incorporating analytical logic, data pipeline, machine learning algorithms and data visualization. Hands on data and machine learning development is a large component of this role and the senior machine learning engineer should be comfortable to design state of the art data architectures and deliver production-level codes.

The role will involve working closely with core data science, product, engineering and infrastructure teams. You will be comfortable working in an agile manner, be able to solve problems independently and have a solid understanding of automated data solutions, and cloud environments like Amazon AWS and Google Cloud. This role will be based in London, reporting into the Regional director of product and data science. However, as a member of our global team, you will work with teams across the globe and may need to travel overseas and meet your colleagues in other countries.

Your Impact

The successful candidate will work on global projects, assisting with the creation of unique software solutions based on data intelligence for the platform. You will work with a team of extremely dedicated, fast-paced coworkers, who share a passion for digital media and technology.

New ideas are appreciated and encouraged – it’s not unusual to find colleagues in casual brainstorming sessions, forming strategies and ideas for new initiatives. The client encourages the sharing of opinions – everyone truly has a voice. Working with a team which is constantly innovating, be prepared to get hands-on and begin working on huge challenges around data science, data engineering, or even product design from day one.

Responsibilities include:

  • Develop new processes and software to increase efficiency through application simplification, automating repetitive tasks and making configuration changes
  • Support the data science teams in platform development efforts and contributing production codes by implementing large scale machine learning solutions.
  • Review code prior to deployment and upgrades
  • Communicate and collaborate with data science and other technical teams around the company
  • Maintain the health of systems and data by identifying and applying patches and firmware
  • Contribute to the development of the data science framework.
  • Identify problem areas and develop plans to overcome any issues to ensure that the project of it is achievable.
  • Mentor junior members of the team.
  • Use systems and internal processes efficiently and integrate these in daily work. Fulfill high IT literacy and technical and specialist requirements for further deployment of the framework.
  • Be part of a lean yet highly effective agile organization. Demonstrate an ability to do more with less, with a history of identifying and exploiting opportunities for efficiency improvements.

Qualifications & Skills

  • Bachelor or Master degree (PhD is a plus) in Software Engineering, Computer Science, Mathematics, Statistics, Economics, applied science etc, with +3 years of work experience.
  • Significant experience of R, Python, Java or Scala.
  • Professional experiences in SQL.
  • Proficient in software engineering concepts like version control systems, e.g. Git, Github, virtualization e.g. Docker or Docker Hub.
  • Good understanding of cloud infrastructures, like Google cloud and Amazon AWS.
  • Deep understanding of statistics, mathematics, computer science or similar, or several years of research and application experience in Machine Learning, (deep learning is a plus).
  • Excellent analytical skills and strong statistical knowledge and a true interest in applying them to complex problems
  • Experience working in a new division, with a recently launched technology company, or a start-up is a plus
  • Excellent communication skills

**Senior Machine Learning Engineer working on a Global Platform – London based**

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Job Reference: SrMLEngLondon


Salary per: Annum

Job Duration: 6 months

Job Start Date: ASAP

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