Machine Learning Engineer

Machine Learning Engineer

Up to £60k + equity + L&D budget

London Hybrid

Greentech

Join a growing greentech start up, focused on translating data into real world impact.

You'll work alongside the Machine Learning Lead & the CTO, focused on designing and building AI driven features/ products. This role encompasses research and POCs, through to developing production level code for resilient and high quality features.

You will focus on building and deploying AI features and products.

Role:

• Develop AI products
• Alongside the wider engineering team, productise models and improve performance
• Support the ML Lead and CTO to expose new areas that can be improved
• End to end ML, research through to production and deployment
• Produce production level code
• Support the ML Lead and CTO on ML architecture and product strategy

Requirements:

• Experience with machine learning and modelling
• Proven coding ability, able to produce production level code
• AT LEAST 1+ year commercial experience in data science/ machine learning engineering
• Understanding of core ML fundamentals and concepts
• pandas, scikit-learn, TensorFlow, PyTorch
• Some understanding of time series analysis
• Strong grasp of mathematical concepts
• MLOps, fullstack ML Engineering

Desirable:

• Academic research (projects, publications)
• Strong academic background (eg PhD), although not essential if you have the relevent commercial experience
• Ideally a Physics or Engineering background (not essential)
• Cloud deployment experience

Logistics:

• Flexible working (most do 2-3 days per week in office)
• Central London office
• Up to £60k + equity
• Wealth creation opportunity
• L&D budget, any conference paid for
• Work from anywhere opportunity several times per year

Apply now for all the details!

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.