Founding ML & DS Engineer - Predictive Ops AI (London)

Acceler8 Talent; Greater London; Presencial; GBP 90.000 - 130.000; Jornada completa

Descripción de la vacante

Acceler8 Talent in London is seeking a Founding Machine Learning & Data Science Engineer to own core ML problems with real-world impact. You will build production-ready models and pipelines alongside the founding team.

The role demands hands-on expertise in time-series, reinforcement learning, and data engineering, with founding-level ownership and influence across AI, optimisation and autonomous systems. Competitive compensation.

Formación

• 3+ years of production ML experience and strong Python skills.
• Experience with time-series forecasting, probabilistic modelling or reinforcement learning.
• Strong data engineering, model evaluation and problem-solving ability.
• UK citizenship required, with availability to work onsite in London.
• Founding-level ownership and significant technical influence.
• Solve challenging problems across AI, optimisation and autonomous systems.
• Join an exceptional technical team with competitive compensation and real-world impact.

Responsabilidades

• Build predictive ML models, including time-series forecasting and sequence modelling.
• Apply advanced ML and reinforcement learning to real-world optimisation problems.
• Own data pipelines, model deployment and ML architecture alongside the founding team.

Conocimientos

Python programming

ML modelling

Time-series forecasting

Reinforcement learning

Data engineering

Herramientas

TensorFlow/PyTorch

Airflow

Descripción del empleo

Acceler8 Talent in London is seeking a Founding Machine Learning & Data Science Engineer to own core ML problems with real-world impact. You will build production-ready models and pipelines alongside the founding team.

The role demands hands-on expertise in time-series, reinforcement learning, and data engineering, with founding-level ownership and influence across AI, optimisation and autonomous systems. Competitive compensation.