ML Engineer - Power
Hybrid Japan Full-time Mid-level Machine Learning Engineering
At a glance
Mid-level Machine Learning Engineering role at Kpler. Japan · full-time.
Pay not stated ML Engineer salary
RoleMachine Learning Engineering
SeniorityMid-level
LocationJapan
WorkplaceHybrid
EmploymentFull-time
PostedMay 21, 2026 · 5mo ago
Role brief
aimlroles summary, based on the employer's posting.
What you'll do
- Adapt existing models for Japanese power and build new models through training, evaluation, backtesting, tuning and selection
- Bring LNG and coal market signals into forecasts to improve their quality
- Add product features and build tools, alerts and dashboards for model monitoring
- Work with product colleagues on the roadmap and help shape plans the team can sustain
What you bring
- A computer science or computer engineering degree, or an equivalent qualification
- Around three to five years in data-focused software engineering, including at least two years using machine learning
- Strong Python skills, plus experience with PostgreSQL or a comparable data store
- Hands-on R&D across machine learning and data science, including statistics and hypothesis testing
- Experience with time-series or event data, model and feature versioning, and collaborative software practices
Who this fits
This mid-level role suits an engineer ready to own models across their lifecycle and work on Japanese power forecasting. You’ll collaborate asynchronously with teammates in other countries, so strong written and spoken English is required.
From the employer
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 850 experts from 69 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 Machine Learning Engineer in the Power team, you will be instrumental to 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.
As a Machine Learning Engineer in the Power team, you will be instrumental to 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
- Develop a deep understanding of existing models and adapt them to the Japanese Power market
- Develop new models, managing the entire lifecycle (Training, Evaluation, Backtesting, Tuning, Model selection etc).
- 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
- Discuss the roadmap in collaboration with the product team. Help the team build ambitious yet sustainable plans
Experience & Background
- BSc/MSc in computer science, computer engineering or equivalent
- Circa 3-5 years' of experience as a data focused Software Engineer (minimum 2 Years experience with Machine Learning)
- Significant experience working with Python
- Experience with Postgresql or similar data stores
- Machine learning R&D experience (Training, Evaluation, Backtesting, Tuning, Model selection)
- Data Science R&D experience (Statistics, Hypothesis testing)
- ML Engineering experience (model versioning, feature versioning)
- Comfortable working with Git, code reviews, and Agile methodologies
- Experience with time-series, events data, normalization, database design
- Understanding of performance optimization and caching strategies
- Great communication, ability to work asynchronously with team members in other countries
- Strong command of written and spoken English
- Previous experience of the electricity/power markets
- Have experience with AWS (or another cloud provider), using Terraform
- Experience with Deep learning techniques
- Experience with orchestration tool Airflow on a production environment
- Experience with containerization (Docker) and orchestration (Kubernetes)
- Experience with a ML registry framework (e.g. MLFlow…)
- Knowledge on hexagonal architecture and medallion architecture
- Used monitoring solutions (Datadog, Grafana, etc...)
- Experience with NoSQL database
- Japanese speaker
Essential:
Desirable: