Machine Learning/Ops Engineer

Aibidia; City Of London; On-site; GBP 125,000 - 150,000; Full time

Job summary

A leading SaaS company in London is seeking a skilled ML/Ops Engineer to design and manage end-to-end machine learning pipelines, automate workflows, and ensure infrastructure efficiency. The ideal candidate will have experience with tools like Docker and Kubernetes, and be proficient in orchestration tools. This role offers competitive benefits including flexible working hours and a comprehensive healthcare package.

Benefits

Flexible working hours

Comprehensive healthcare package

Professional development budget

Qualifications

• Must have ML pipeline orchestration by using tools like Airflow, Kubeflow, or Prefect.
• Setting up automated testing and deployment with tools such as GitHub Actions or Jenkins.
• Proficient with Docker and Kubernetes for scalable ML model deployments.

Responsibilities

• Design and maintain end-to-end machine learning pipelines.
• Automate ML workflows using CI/CD best practices.
• Manage infrastructure for model serving effectively.

Skills

ML pipeline orchestration tools

Automated testing and deployment

Proficient with Docker

Kubernetes experience

Experience with AWS/GCP/Azure

Tools

Docker

Kubernetes

Terraform

Job description

Overview

Aibidia is looking for a skilled ML/Ops Engineer to work on the Research and Development team to create and expand Aibidia's range of solutions. We are revolutionising cross-border business management with our SaaS platform, and need top-tier talent to contribute to the success in transforming how the large multinational companies manage transfer pricing processes. You will play a pivotal role in delivering an exceptional product to clients such as Nokia, Dyson, Bridgestone, and Olympus, to name a few.

This role is based in Finland, and can be located at either our Helsinki or Tampere offices, or remotely from the UK.

Responsibilities

• Design, build, and maintain end-to-end machine learning pipelines from data ingestion to deployment and performance monitoring.
• Automate ML workflows including model training, testing, and deployment using CI/CD best practices.
• Manage and optimize infrastructure for model serving using containerization (Docker), orchestration (Kubernetes), and Infrastructure-as-Code tools (e.g., Terraform) across cloud environments.
• Ensure reproducibility, versioning, and traceability of data, features, and models across the ML lifecycle.
• Implement monitoring systems for model performance, including accuracy, latency, data drift, and degradation detection.
• Collaborate with data scientists to transition research prototypes into scalable production-ready services.
• Lead model lifecycle management practices including retraining, rollback strategies, A/B testing, and shadow deployments.
• Ensure data privacy, security, and governance standards, including responsible AI principles.

Skills, Knowledge and Expertise

Must have:

• ML pipeline orchestration by using tools like Airflow, Kubeflow, or Prefect
• Setting up automated testing and deployment (GitHub Actions, Jenkins, GitLab CI, Azure DevOps Pipelines)
• Proficient with Docker, Kubernetes, Terraform for scalable deployments
• Experience with MLflow, TensorFlow Serving, TorchServe, or similar
• Setting up observability tools to track model/data drift, latency, and failures
• Experience with AWS/GCP/Azure, especially their ML tools (e.g., SageMaker, Vertex AI)

Nice to have:

• Knowledge of Kafka, Spark Streaming, or Flink for streaming data processing
• Using Terraform for provisioning
• Experience managing and deploying large language models or embedding pipelines
• Managing compute/storage costs in cloud-based ML workflows

Benefits

• A fair share of Aibidia's success, benefiting from a competitive compensation and incentive package.
• Flexible working hours with a hybrid working policy.
• Comprehensive healthcare package.
• Genuine drive towards physical and mental wellbeing, with initiatives by an internal organisational health and wellbeing committee.
• Regular team social events including Aibidia's summer and winter parties.
• The latest technology to ensure you can do your best work with the best tools.
• A boost for your professional development - performance-based growth is part of the company culture and there is a designated learning budget for every employee.
• An opportunity to be part of a global, fast-growing SaaS company revolutionising a traditional industry.
• A non-hierarchical atmosphere and stellar culture at the office.

We are committed to fostering an inclusive culture that celebrates diversity, we want you to bring you, no matter your background, gender, race or sexual orientation!

Please note, we're unable to provide visa sponsorship for this role. To be considered, you'll need to show proof of your eligibility to work in the country.

About Aibidia

Aibidia, founded in 2018, provides the technology that enables multinational enterprises to make more considered transfer pricing decisions. Our connected, end-to-end platform provides organizations the ability to take full control of their business and implement considered tax strategies across the entire group. With over 5,000 legal entities managed on our platform and an average revenue of 7 billion Euros among our clients, we are dedicated to helping the world's largest enterprises transform their cross-border business management, leading to healthy global business.