Machine Learning Engineer — HPC & Scalable ML Systems

Barlowe LLP; Greater London; On-site; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Highly competitive compensation

Lunch provided

30 days’ annual leave

9% company pension contributions

Comprehensive healthcare

Job summary

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams.

Ideal candidates will possess a postgraduate degree in Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants.

Qualifications

• Proven experience building ML models at scale.
• Strong object-oriented engineering skills.
• Ability to apply advanced optimisation methods.

Responsibilities

• Identify and work with cutting-edge machine learning tools.
• Collaborate with internal and external teams on ML initiatives.
• Evaluate alternative accelerators for ML workloads.

Skills

Python

Object-oriented engineering

ML model building

PyTorch

NumPy

Optimisation methods

Education

Postgraduate degree in ML or related field

Job description

Barlowe LLP seeks a Machine Learning Engineer to join the ML and HPC Architecture team, based in London. This role involves working with cutting-edge technology, collaborating on various ML projects, and optimising processes to enhance performance across teams.

Ideal candidates will possess a postgraduate degree in Machine Learning or related experience, along with strong programming skills in Python and familiarity with ML model building. The role does not require finance experience, encouraging diverse applicants.