Kpler
Commodities, Energy, Maritime
PowerMLEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Power ML Engineer at Kpler. Skills: Python, Machine Learning, Data Science, ML Engineering. Adapt existing models to Japanese market. Integrate market signals”
What You'll Achieve.
empower organisations to make informed decisions; stay ahead in a dynamic market landscape; impactful results; enhance the quality of our forecasts
Industry & Context.
simplifying global trade information; providing valuable insights; transform intricate data into actionable strategies
What They're Looking For.
Must Have
Understanding of electricity grid fundamentals, Data focused Software Engineer, Python, Postgresql or similar data stores, Building and consuming RESTful APIs, Machine Learning research, Data Science research, ML Engineering, Git, code reviews, Agile methodologies, time-series, events data, normalization, database design, command of written and spoken English, performance optimization, caching strategies
Nice to Have
Previous experience in electricity markets, AWS (or another cloud provider), Terraform, orchestration tool Airflow on a production environment, containerization (Docker), orchestration (Kubernetes), ML registry framework (e. g. MLFlow…), hexagonal architecture, medallion architecture, monitoring solutions (Datadog, Grafana, etc. . . ), NoSQL database, Japanese speaker, FastAPI
What You'll Do.
Adapt existing models to Japanese market
Integrate market signals
Build monitoring and alerting tools
Improve monitoring and alerting tools
Ensure API performance
Discuss roadmap with product team
Help team build plans
How You'll Work.
Team & Collaboration
Discuss the roadmap in collaboration with the product team; Help the team build ambitious yet sustainable plans; work asynchronously with team members in other countries
Communication Scope
command of written and spoken English; Great communication
Full Job Description
## Description At Kpler, we are dedicated to helping our clients navigate complex markets with ease. By simplifying global trade information and providing valuable insights, we empower organisations to make informed decisions in commodities, energy, and maritime sectors. Since our founding in 2014, we have focused on delivering top-tier intelligence through user-friendly platforms. Our team of over 700 experts from 35+ countries works tirelessly to transform intricate data into actionable strategies, ensuring our clients stay ahead in a dynamic market landscape. Join us to leverage cutting-edge innovation for impactful results and experience unparalleled support on your journey to success. As a Power ML Engineer you will be responsible for the development of the Power offering. You will be fully dedicated to a new product covering the Japanese power market. This product will adapt and expand as required, existing modelling infrastructure to the Japanese power market in order to build fundamental forecasts. ## Key Responsibilities Learn and adapt existing models to the Japanese market Integrate market signals from other commodities (LNG, coal) to enhance the quality of our forecasts Enrich the product and participate in the development of new features Build and improve monitoring and alerting tools and dashboards Ensuring good performance on our API to distribute the data to end users Discuss the roadmap in collaboration with the product team. Help the team build ambitious yet sustainable plans ## Experience & Background Essential: Understanding of electricity grid fundamentals (Production, Transmission, Markets) Circa 3-5 years' of experience as a data focused Software Engineer Significant experience working with Python (FastAPI is a plus) Have worked with with Postgresql or similar data stores, Proficiency in building and consuming RESTful APIs Machine Learning research (Training, Evaluation, Backtesting, Tuning, Model selection). Deep learning is a plus, but not r
Applying for this Power ML Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Lever
- Lever uses a streamlined one-page form — apply in under 5 minutes.
- LinkedIn import works well; review parsed data before submitting.
- The cover letter field is optional but visible to reviewers — use it to differentiate.
- Referral codes from employees can significantly boost visibility of your application.
ANONYMOUS · UNFILTERED
What do employees actually say about Kpler?
Real rants from real employees. Read before you apply.