Elliptic Enterprises Limited logo

Staff MLOps Engineer

Job Overview

Location

London, United Kingdom

Job Type

Full-time

Category

Data Science

Date Posted

May 22, 2026

Full Job Description

đź“‹ Description

  • • Define and build Elliptic's enterprise-wide MLOps platform that unifies model training, deployment, monitoring, and governance into a scalable, production-grade discipline.
  • • Design the target-state MLOps architecture covering model training pipelines, serving infrastructure, feature management, and governance, and produce Architecture Decision Records (ADRs) to guide investment and alignment.
  • • Evaluate and recommend build-vs-buy-vs-stop decisions for MLOps tooling, using cost modelling and trade-off analysis against Elliptic’s AWS-primary and Databricks ecosystem constraints.
  • • Collaborate with InfoSec to enhance the existing model registry and model risk management framework, closing gaps in metadata, lineage, approval workflows, drift detection, and compliance reporting.
  • • Build and ship production-grade ML infrastructure including CI/CD pipelines for models, real-time and batch serving systems, and feature store integrations alongside a small team of infrastructure engineers.
  • • Instrument observability across the entire ML lifecycle: training metrics, serving latency and throughput, data quality, and prediction drift, integrating with Elliptic’s existing observability stack.
  • • Onboard four distinct internal consumer groups — Product Engineering, Intelligence Research, InfoSec, and Operations — by creating documentation, runbooks, and reference architectures to enable self-service adoption.
  • • Ensure the platform enforces governance rigor required for a regulated financial crime context while maintaining flexibility to support rapid experimentation by research teams.
  • • Operate with autonomy in ambiguous environments, making decisions with incomplete information and creating structure where none exists, while remaining adaptable to new evidence.
  • • Influence adoption through clarity, evidence, and quality of work rather than positional authority, earning trust by delivering platforms that are demonstrably better than ad-hoc alternatives.
  • • Write production-grade, tested, observable, and well-documented code and systems designed for reliability and operability by others.
  • • Work directly with data scientists and ML engineers across teams to understand their unique needs: reproducible training pipelines for product teams, GPU orchestration and dataset versioning for research, audit trails for InfoSec, and scheduled batch inference for Operations.
  • • Maintain a focus on production engineering excellence: systems must be reliable, maintainable, and designed for long-term operational sustainability.
  • • Actively use AI tools to accelerate prototyping, pressure-test designs, and improve engineering velocity, recognizing AI as a core component of modern engineering practice.
  • • Contribute to the evolution of Elliptic’s ML culture by bridging the gap between research agility and production compliance.

🎯 Requirements

  • • Deep hands-on experience building MLOps platforms, including model registries, feature stores, and ML pipeline orchestration
  • • Working knowledge of model serving patterns: real-time inference, batch prediction, A/B deployment, and deployment strategies
  • • AWS infrastructure experience (ECS/EKS, S3, IAM, networking) and comfort operating in a Databricks ecosystem or equivalent lakehouse architecture
  • • Experience with model monitoring: model evaluation, data drift detection, prediction drift, and performance degradation alerting
  • • A track record of building something from zero and bringing it to a state where others could operate and extend it
  • • Experience in a regulated industry (fintech, financial services, healthcare) where model governance is a compliance requirement

🏖️ Benefits

  • • ÂŁ500 Remote working budget to set up your home office space
  • • $1,000 Learning & Development budget to use on anything agreed with your manager that contributes to growth
  • • 25 days of annual leave + bank holidays, plus an extra day for your birthday
  • • Private Health Insurance through Vitality
  • • Full access to Spill Mental Health Support
  • • ÂŁ100 Crypto for you

Skills & Technologies

AWS
Terraform
Senior
Remote

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Elliptic Enterprises Limited logo
Elliptic Enterprises Limited
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About Elliptic Enterprises Limited

Elliptic is a global leader in crypto-asset risk management. The company provides a comprehensive suite of tools and services designed to help businesses, regulators, and law enforcement agencies understand and manage the risks associated with cryptocurrencies. Their technology analyzes blockchain data to detect illicit activity, identify high-risk transactions, and ensure compliance with anti-money laundering (AML) and counter-terrorist financing (CTF) regulations. Elliptic's solutions are used by financial institutions, exchanges, and governments worldwide to protect against financial crime, enhance security, and foster the safe adoption of digital assets.

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