Machine Learning

Machine Learning

Job Brief

As a Machine Learning Engineer, you will

  • Work with the latest open-source technology to design and build machine learning outcomes
  • Work on multiple ML-based applications ranging from Conversational bots, Motion Graphics, Deep fakes, Data engineering, and human-like AI solutions
  • Work in a role that adapts alongside the business needs
  • Be exposed to a variety of data science and engineering projects
  • Apply latest techniques in data science and ML
  • Work with an experienced team of engineers who will pair program and guide you throughout your development journey
  • Work with OI (Otermans Institute) who have been funded by Innovate UK and awarded by the UK Prime Minister; our work is revolutionising how underserved populations learn and access learning.

Skills Required:

The ideal Machine Learning Engineer will have the following:

  • Proficiency with Python programming in a production environment and experience in developing and deploying machine learning projects
  • Understanding and Experience in Data structures, handling and modelling
  • Hands-on ML experience
  • Basic knowledge of SQL, NoSQL, Big Query and Big data analysis
  • Understand supervised and unsupervised ML
  • Ability to think scientifically in your work and understand ML algorithms
  • Build and maintain the Machine Learning pipelines and related software applications
Role:

You will work to solve real-world problems and on production level outputs. You will learn key machine learning techniques on the job, learn to code in tandem with team members, work in defined sprints run by senior management and learn key communication and transferable skills needed for high-level tech roles.

Start date: Immediately

Roles available: 1

Duration: 3 months

Post completion: A minimum of one candidate will be taken in as a full-time engineer with scope for work from our London office.

Process:
Stage 1:

Send a 1-page summary of a creative solution to create a conversational human-like virtual teacher that can teach learners globally. Feel free to use graphs, images, etc. Please attach it to the end of your CV (as a single document) before uploading.

Stage 2:

Pair programming with one of our developers to test your technical competency.

Stage 3: 

Final interview with senior management.

 

We encourage female applicants as per our equality and diversity policies

Job Category: Tech
Job Type: Full Time
Job Location: Remote

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