Senior ML Engineer - Predictive Intelligence Backend

Scmdojo; Manchester; Hybrid; GBP 110,000 - 140,000; Full time

Job summary

Anaplan invites experienced software engineers to join the Predictive Intelligence engineering team, building backend services powering the ML Engine for forecasting solutions. You will work with data scientists, ML engineers, and platform partners to productionize models and deliver scalable predictive intelligence services.

You will lead MLOps initiatives, deploy training pipelines, and maintain high-availability production systems while driving performance improvements and cost efficiency

Qualifications

• 6+ years of professional software engineering experience building production backend services.
• Strong proficiency in Python, with a track record of writing performant, well-tested production code.
• Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure).
• Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres.
• Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow.
• Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver against ambiguous requirements.
• Track record of being on-call for production services and contributing to operational excellence.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

Responsibilities

• Design and implement scalable, fault-tolerant predictive intelligence services as a core contributor to the ML Engine backend.
• Lead the technical implementation of MLOps capabilities, including model training pipelines, deployment workflows, and runtime infrastructure for production ML.
• Partner with data scientists to productionize models and graduate experimental work into stable, observable production services.
• Drive the evolution of forecasting, scoring, and data processing services with a focus on performance, scalability, and cost efficiency.
• Take part in on-call rotations and own the operational health of high-availability production services, including incident response and post-incident improvements.
• Lead design reviews and code reviews, raising the quality bar across the team and mentoring mid-level and junior engineers.
• Identify and drive cross-cutting platform improvements that benefit multiple services and teams.

Skills

Python

Backend development

Kubernetes

MLOps

On-call reliability

Data warehousing concepts

Autonomous mindset

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

Snowflake

Iceberg

Trino

Postgres

MLflow

Prefect

Airflow

dbt

Job description

Anaplan invites experienced software engineers to join the Predictive Intelligence engineering team, building backend services powering the ML Engine for forecasting solutions. You will work with data scientists, ML engineers, and platform partners to productionize models and deliver scalable predictive intelligence services.

You will lead MLOps initiatives, deploy training pipelines, and maintain high-availability production systems while driving performance improvements and cost efficiency