Senior Machine Learning Engineer (Freelance - Remote EU)

Besedo is a tech company delivering Trust & Safety solutions to online marketplaces worldwide. Every year, we review and moderate

over 500 million pieces of user-generated content and block more than 40 million fraud attempts – helping online platforms stay

safe and trusted for millions of users. Besedo has headquarters in Stockholm (Sweden) and employs over 350 employees in 5 offices

in different countries. Implio is our all-in-one SaaS moderation platform that combines state-of-the-art AI (deep learning, NLP,

computer vision) with a powerful user interface for human moderation and powerful analytics. The result is an easy-to-use content

moderation solution that enables companies to reduce risks, protect their users and build safer online environments.

We are looking for a senior-level AI/ML professional to lead the productionization, deployment, and continuous optimization of ML

systems in mission-critical environments. This role requires strong technical leadership, deep hands-on experience shipping models

to production, and the ability to drive reliability, scalability, and cost/performance trade-offs end-to-end. The ideal candidate

combines strong ML depth with MLOps and production engineering excellence, and can operate autonomously while influencing

architecture and best practices across teams.

You’ll join a small, senior ML team building the AI behind Implio, which moderates user-generated content for online platforms at

scale. You’ll work across the full lifecycle, from model research to production, and help shape how we build and ship ML.

• Master’s, PhD, or equivalent experience in Computer Science, Engineering, Data Science (or related), with strong foundations in

mathematics, statistics, and ML.

• 6+ years (or equivalent) experience across ML engineering and MLOps/production ML, with a proven track record delivering

high-impact systems in production.

• Demonstrated expertise deploying models to production: scalable serving patterns, model packaging, inference optimization,

observability, and safe rollout strategies.

• Strong experience with model performance and efficiency optimization: latency/throughput tuning, batching, quantization,

ONNX/TensorRT, GPU/CPU optimization, memory and cost tuning.

• Experience with monitoring and reliability: metrics/logging/tracing, model/data drift, alerting, SLOs, incident response

practices.

• Plus (nice to have): Kubernetes, AWS, FastAPI (and/or similar Python serving frameworks), SageMaker, service meshes, feature

stores, model registries.

• Design, build, and continuously improve training and retraining pipelines (data ingestion, labeling/QA loops, feature

generation, experiment tracking, reproducibility).

• Partner with DevOps/SRE to ensure operational excellence: scaling, reliability, incident readiness, observability, and

alerting.

About this position

This role is 100% remote, so you can work from anywhere in the EU and set up your days in a way that works best for you. You will

work with a team of talented Machine Learning Engineer DevOps and Developer who are passionate about their work and like to have

fun in the process. We welcome applicants of all backgrounds.

What it’s like working with us?

At Besedo, we all come from different cultures and backgrounds, but we share a common set of values: