Machine Learning Engineer

AI & ML Engineer - Energy - London - Hybrid

If your skills, experience, and qualifications match those in this job overview, do not delay your application.

We are partnering with a leading global technology company driving the transformation of the energy sector through cutting-edge AI and machine learning.

You would be joining a global AI/ML team to develop cutting-edge, AI-powered features, working across the entire product lifecycle from concept to deployment. You'll leverage technologies like LLMs, Python, Kubernetes, and MLflow to build robust tools and collaborate closely with engineers to rapidly prototype and implement solutions.

Essential Skills:
Hands-on experience deploying ML models in production environments.
Proficiency in Python and ML frameworks (e.g., PyTorch, HuggingFace, scikit-learn).
Strong knowledge of NLP techniques.
Experience with Kubernetes for orchestration.
Familiarity with SQL for data management and querying.
Experience with AWS cloud infrastructure
Experience with large-scale data processing tools like Spark

Desirable Skills:
Knowledge of Databricks, Delta Lake, and dbt for data modeling and transformations.
Familiarity with Airflow for task scheduling.
Experience with version control, deployment, and monitoring tools (GitHub, CircleCI, Grafana, Prometheus).
Exposure to Tableau or Streamlit for data visualisation.
Experience in the Energy Sector

If you're curious, self-driven, and excited about shaping the future of energy, apply now!