ML Engineer: Time-Series & Production AI at Fast-Growth Startup

OHO Group (Lithuania); Greater London; On-site; GBP 126,000 - 154,000; Full time

Benefits offered by this job

Equity options

Job summary

OHO Group in London is seeking a Machine Learning Engineer to join a rapidly growing startup. You will help develop the next generation of ML models and AI-driven systems, working closely with an experienced team to solve complex technical challenges in time-series modelling, forecasting, and optimisation.

You are from a top-tier educational background, with start-up experience, and skilled in deploying production ML systems.

Qualifications

• From a top tier educational background (First preferred).
• Start-up driven (experience within start-ups or founding start-ups).
• Experience in building and deploying machine learning models, predictive systems, time-series models or data-driven applications.
• Comfortable in transforming ML models from experimentation all the way through to production.
• Strong problem solver with the ability to work in a collaborative and fast-paced work engineering environment.
• Formerly employed at an early stage or venture-funded start-up.
• Experience building and deploying production ML systems, particularly involving time-series modelling, forecasting or reinforcement learning.

Responsibilities

• Develop and deploy next-generation ML models and AI-driven systems.
• Work on time-series forecasting and predictive systems.
• Collaborate with experienced operators and technologists to solve technical challenges.
• Translate research models from experimentation to production.

Skills

Top-tier education

Start-up experience

ML model deployment

Time-series modelling

Reinforcement learning

Production ML systems

Education

First-class degree

Job description

OHO Group in London is seeking a Machine Learning Engineer to join a rapidly growing startup. You will help develop the next generation of ML models and AI-driven systems, working closely with an experienced team to solve complex technical challenges in time-series modelling, forecasting, and optimisation.

You are from a top-tier educational background, with start-up experience, and skilled in deploying production ML systems.