Machine Learning Engineer

Oliver Bernard; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity

On-site role

Fast-paced environment

Job summary

Oliver Bernard in London is seeking a talented Machine Learning Engineer to help build the core product at a fast-growing AI start-up. The role focuses on turning research into production-ready solutions, refining pipelines for accurate simulations, and building data pipelines to convert unstructured data into actionable population simulations.

You will work with human data, apply deep learning, and contribute to a high-autonomy, fast-moving team.

Qualifications

• Experience in Machine Learning in a commercial environment (startup preferred).
• Proficient in writing high-grade Python code.
• Deep Learning experience.
• Experience working with Human Data is essential.
• Bonus: background in computational social science / applied social science.
• Bonus: experience with simulations.

Responsibilities

• Turn research into production-ready solutions to tackle this complex issue.
• Fine-tune the pipelines to create the most accurate simulations / solutions possible.
• Building Data pipelines - Turn unstructured data into actionable simulations of the population sets.
• Recognise the trade-offs and make decisions to maximise performance.

Skills

Python

Machine Learning

Deep Learning

Human Data

Start-up experience

Simulation experience

Job description

Oliver Bernard are once again partnered with a fast growing AI start-up based in London! They are looking to add a talented Machine Learning Engineer to help develop their core product.

Their Product?

This Machine Learning role at its core is building systems that model human behaviour at scale, it's a brutally hard computational problem: the number of possible outcomes across a population is vast, and the whole thing has to resolve quickly enough to be commercially useful.

The Role?

• Turn research into production ready solutions to tackle this complex issue
• Fine-tune the pipelines to ensure they create the most accurate simulations / solutions possible
• Building Data pipelines - Turn unstructured data into actionable simulations of the population sets
• Recognise the trade-offs and make decisions accordingly to maximise performance

About you

• Experience in Machine Learning within a commercial environment (Ideally a start-up)
• High autonomy when it comes to your work approach, build fast and ship high quality solutions that won't fall over
• Experience in processing/working with Human Data is essential
• Proficient in writing high grade Python code
• Deep Learning experience
• Bonus - A background in computational social science / applied social science
• Bonus - Worked with simulations before

What's on offer?

• Competitive Salary + Equity
• On-Site working model (This role is for office lovers)
• A chance to develop as a Machine Learning Engineer in a fast paced environment
• Be at the forefront of tackling one of the most complex/newest issues researchers face
• High ownership, build and ship fast, creative freedom to propel the platform to new heights

Machine Learning Engineer, Human Data, Start-Up