Applied AI/ML Research Consultant - Client-facing in Cambridge

Applied AI/ML Research Consultant - Client-facing in Cambridge

Cambridge Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
IC Resources

At a Glance

  • Tasks: Apply machine learning to real-world problems and create innovative solutions.
  • Company: Join a forward-thinking tech company focused on AI and ML.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Engage directly with clients and enjoy a dynamic work environment.
  • Why this job: Make a tangible impact by solving unique challenges with cutting-edge technology.
  • Qualifications: Strong maths/engineering background and proficiency in Python required.

The predicted salary is between 80000 - 100000 Β£ per year.

IC Resources is seeking a talented machine learning specialist to apply ML to unusual real-world problems.

The role involves blending off-the-shelf tools with custom components, moving from theory to a working model, and testing it in practice.

You'll review literature, prototype rapidly, and run structured experiments, with opportunities to interact with clients to translate needs into workable technical solutions.

A strong maths/engineering background and Python proficiency are essential.

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Applied AI/ML Research Consultant - Client-facing in Cambridge employer: IC Resources

IC Resources is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Cirencester. With a strong commitment to employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge projects that make a real impact in rugged hardware design. Join us to be part of a supportive team that values your expertise and encourages you to thrive in a challenging yet rewarding environment.

IC Resources

Contact Details:

IC Resources Recruitment Team

We think you need these skills to ace Applied AI/ML Research Consultant - Client-facing in Cambridge

Machine Learning
Mathematics
Engineering Background
Python Proficiency
Prototyping
Structured Experimentation
Client Interaction