Maritime Data Scientist: Time-Series & Predictive ML

Ceto; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity options

Birthdays off

Bupa medical insurance

Cycle to work scheme

Hybrid working from our London office

Conferences & development budget

Future-shaping maritime technology

Job summary

Ceto is a fleet intelligence company building Watchkeeper to predict machinery failures from high-frequency sensor data. We operate across fleets of major shipowners and offer a SaaS analytics layer to prevent unplanned downtime.

We are a small, senior team; we value rapid delivery, robust ML production, and a passion for real-world physical systems. Join us in a hybrid London setting with strong growth potential and industry impact.

Qualifications

• Strong Python skills with pandas/numpy/scipy and scikit-learn
• Experience with supervised and unsupervised ML and when to use each
• Solid time-series analysis skills: trends, seasonality, changepoints, anomaly detection
• Ship analytics/models into production with CI/CD and DevOps exposure
• Degree in physics, engineering, or a quantitative field
• Ability to explain method fits physical problems and challenge assumptions
• Clear problem framing, curiosity, and startup pace tolerance
• Team player who can challenge ideas constructively

Responsibilities

• Build time-series analytics on sensor data: baselines, signals, degradation detection
• Ingest, clean, validate, resample raw sensor feeds; catch gaps/outliers
• Develop production-ready predictive maintenance features
• Apply supervised/unsupervised ML where appropriate, incl. rare failures
• Create end-to-end analytics pipelines: cleaning, features, training, inference, storage
• Collaborate with engineers to prioritize investigations
• Leverage AI tools (e.g., Claude Code) to accelerate tasks

Skills

Python

Time-series analysis

Machine learning (supervised/unsuperv.

CI/CD / DevOps basics

Problem framing

Physics/engineering background

Education

Physics/Engineering degree

Tools

Azure

MongoDB

MLflow

Job description

Ceto is a fleet intelligence company building Watchkeeper to predict machinery failures from high-frequency sensor data. We operate across fleets of major shipowners and offer a SaaS analytics layer to prevent unplanned downtime.

We are a small, senior team; we value rapid delivery, robust ML production, and a passion for real-world physical systems. Join us in a hybrid London setting with strong growth potential and industry impact.