Machine Learning Engineer Language

Direct message the job poster from Fruition Group Senior Recruitment Consultant - Machine Learning & AI Location: London (Hybrid – 2-3 days/week onsite) Contract Length: 6 months initially (with likely extension) Type: Contract Day Rate: Competitive – Dependent on Experience Start Date: ASAP / July start ideal They are a top-tier supplier and analytics provider, supporting grid-level energy forecasting, renewables integration, and carbon reduction initiatives. With deep partnerships across government and the private sector, they are recognised as a leader in smart energy optimisation and predictive systems. As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer to help productionise ML models and deliver real-time insights across their energy analytics platforms. Develop, deploy, and monitor robust ML systems for energy usage prediction and optimisation Collaborate with Data Scientists and DevOps to build end-to-end ML pipelines Contribute to model governance, MLOps, and performance monitoring frameworks Participate in code reviews, design discussions, and performance tuning 3+ years of experience in a Machine Learning Engineer or similar role ~ Proficiency in Python, ML frameworks (TensorFlow, PyTorch), and deployment tools (Docker, MLflow, etc.)~ Experience building scalable ML pipelines in cloud environments (AWS, GCP or Azure)~ Familiarity with energy systems, smart metering, or IoT data is a significant bonus ~ Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related discipline ~ Strong problem-solving mindset and ability to work cross-functionally in agile teams Employment type Contract Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Scientists and Engineers: AI for Quantum Graduate Software Engineer – ML Data Platform Machine Learning Engineer - Search and Recommendation Machine Learning Engineer for Game Technology We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #