Europe Arbeitnow ·
full-timeSenior ML Engineer
Anaplan · Manchester
Anaplan provides a cloud-based platform for business planning and decision-making, utilizing AI-infused scenario analysis for large-scale enterprise clients. As a Senior ML Engineer within the Predictive Intelligence team, you will focus on building and maintaining the backend services that power the company's forecasting solutions and ML engine. Your daily responsibilities include designing scalable, fault-tolerant services, leading the implementation of MLOps infrastructure, and managing model training pipelines and deployment workflows. You will work closely with data scientists to transition experimental models into stable, observable production environments while ensuring high availability through on-call rotations and operational monitoring. This role requires a strong background in backend software engineering, specifically with Python, and hands-on experience managing containerized services on Kubernetes within cloud environments. The ideal candidate is a seasoned engineer comfortable with data warehousing technologies and MLOps tooling who can lead technical design reviews, mentor junior team members, and drive platform improvements. This position is well-suited for professionals who enjoy bridging the gap between data science research and reliable, performant production systems.
At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture. Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins – big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together! You will join the Predictive Intelligence engineering team within Anaplan, building the backend services that power the ML Engine behind the Syrup platform and Anaplan’s forecasting solutions. The team is responsible for the production execution of forecasting and predictive models, the MLOps infrastructure supporting our data scientists, and the data processing services that deliver insights to enterprise customers. This role reports to the Director of Engineering for Predictive Intelligence and works closely with data scientists, ML engineers, and platform partners. Your Impact Design and implement scalable, fault-tolerant predictive intelligence services and features 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. Your Qualifications Strong 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. Preferred Skills Experience with gradient-boosted tree models, neural networks, and optimization solvers in production. Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures. Experience working closely with data scientists to operationalize research code. Multi-cloud experience across AWS, GCP, and Azure. Background in forecasting, demand planning, or retail/supply chain domains.
| Role | Senior ML Engineer |
|---|---|
| Company | Anaplan |
| Location | Manchester |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
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