MLOps Engineer, Apron

Data Engineering

Salary not provided

+ Stock Options

SQL

Docker

Kubernetes

GCP

Python

Kafka

Postgres

Airflow

Kotlin

Grafana

Senior level

London

We're an all in one payments platform making life easier for small businesses

Job no longer available

We're an all in one payments platform making life easier for small businesses

21-100 employees

FintechB2BPaymentsFinancial ServicesSaaS

Job no longer available

Salary not provided

+ Stock Options

SQL

Docker

Kubernetes

GCP

Python

Kafka

Postgres

Airflow

Kotlin

Grafana

Senior level

London

21-100 employees

FintechB2BPaymentsFinancial ServicesSaaS

Company mission

We're a Tech Startup on a mission to flip payments from painful to powerful. Our all-in-one suite of payment tools is solving problems that have gone unresolved for small businesses, who spend hundreds of hours dealing with painful admin tasks.

Job

Company

Role

Who you are

The ideal candidate should have extensive experience and a broad understanding of the MLOps and Data Engineering field
They should be capable of identifying which technologies will be beneficial and which might be excessive for our needs, ensuring the solution remains efficient and uncomplicated
5+ years of experience in areas related to MLOps, machine learning
Extensive knowledge of Python and SQL (PostgreSQL preferred)
Experience in serving machine learning models and using MLOps tools (mlflow, dvc or similar)
Basic knowledge of machine learning algorithms, models, and statistical concepts
Experience with cloud computing platforms (we use GCP) and containerization technologies (e.g., Docker, Kubernetes)
Experience with data pipeline development, data management skills (airflow or similar)
Knowledge of Kotlin is a plus - all backend code except ML services is written in this language
Experience in running AB tests / AB testing platforms is a plus
Experience in building infrastructure for online metrics monitoring is a plus (kafka, grafana, etc.)

What the job involves

We are building a product that allows our clients to upload all invoices and receipts and get them automatically processed and ready to be paid. To achieve this, we need to develop a document recognition service that operates with exceptional quality, speed, and high availability. We are looking for an engineer to help us build the infrastructure for training and deploying the models for such a service
The other important area is to make sure that the relevant data for model training, inference and analytics are present. This would require skills for building data pipelines, making data quality checks, database and infrastructure management
Organising model serving ensuring high performance on high loads. Setup monitoring dashboards and alerts
Suggesting appropriate architecture and tooling for serving models, for example serving on GPUs if needed
Introducing MLOps tools for model development and serving. Dataset and models storage and versioning, reproducible models training, model estimation and metrics visualisation
Setting up documents labelling tools and model retraining based on online feedback
Ensuring data security in service and training pipelines
Developing data pipelines, managing and optimising data infrastructure to ensure the relevant data is available for model training, inference and data analytics
Contributing to development best practices such as tests in the team

Salary benchmarks

Our take

Apron is a London-based B2B payments platform, designed to address the intricate and time-consuming process of supplier payments.

Aimed at small businesses, Apron streamlines invoice management, facilitating patch payments, optimising approval workflows, and automating reconciliations. It allows businesses to redirect their focus from administrative tasks to core operations.

In 2024, a successful Series B funding round poised Apron to expand its engineering and product teams and launch new products that draw in larger customers. With this funding, Apron is well prepared to achieve the goals of expansion laid out in its 2025 roadmap.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

35% female employees

Trustpilot (4.3)

Company

Funding (last 2 of 3 rounds)

Sep 2024

$30m

SERIES B

Sep 2023

$15m

SERIES A

Total funding: $50.5m

Company benefits

Your birthday off
Fully expensed tech
Stock Options
Monthly Wellness stipend
Enhanced Parental Leave after 12 months
29 days holiday + 8 bank holidays (UK)
Weekly Deliveroo credits
AXA Healthcare
Dental and Optical cover

Company HQ

Canary Wharf, London, UK

Leadership

Bogdan Uzbekov

(CEO & Founder)

Graduated from Imperial College London with a MS in Materials Technology. Previously worked at Revolut as a Country Manager and Product Lead. Also worked at Square as a European Operations Lead.

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