Mind Foundry

Graduate Machine Learning Engineer

Mind Foundry

full-time

Posted on:

Location Type: Hybrid

Location: Oxford • United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Entry Level

Tech Stack

PythonPyTorchTensorflow

About the role

  • Work closely with colleagues across Science and Engineering, and Product teams to help develop, test and implement ML algorithms that solve complex, real-world problems efficiently and at scale
  • Apply established machine learning techniques and libraries to real-world datasets, with support and mentorship from senior team members
  • Follow best practices in scientific experimentation, validation, and documentation
  • Contribute to technical documentation, internal notes, and project reports
  • Attend client meetings to understand customer needs and how solutions are delivered
  • Take part in knowledge sharing, training, and professional development activities, including attending relevant events or conferences where appropriate to stay current with emerging ML technologies and techniques and support innovation within the team

Requirements

  • A degree (or expected degree) in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field
  • Familiarity with modern machine learning libraries (e.g. PyTorch or TensorFlow) through coursework, projects, internships or extra-curricular activity
  • Experience programming in Python in an academic or project-based context
  • An interest in building practical systems that help users understand and benefit from machine learning models
  • A strong foundation in scientific thinking, with an appreciation for experimental rigour and validation
  • A willingness to learn, ask questions, and work collaboratively as part of a team
  • An interest in working alongside our clients to understand and solve their complex problems
Benefits
  • Hybrid working (some roles may require full time onsite attendance)
  • Flexible hours
  • Professional and personal development
  • 25 days of annual leave (plus Bank Holidays and a company-wide break over Christmas)
  • Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution)
  • Private Healthcare (including dental and optical cover)
  • Group Life Cover at three times your annual salary once you pass your probation period
  • Enhanced Parental and Sickness Leave
  • Home Office Setup Allowance
  • Workplace Nursery Scheme
  • Pet friendly office - A lot of our team bring their dogs to work!
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningPythonPyTorchTensorFlowscientific experimentationvalidationdocumentationdata analysisalgorithm developmentstatistical analysis
Soft Skills
collaborationcommunicationproblem-solvingwillingness to learncuriosityteamworkclient engagementknowledge sharingtrainingprofessional development