Senior Machine Learning Engineer (Freelance - Remote EU)

Besedo Global Services AB; Sweden; Remote; SEK 1,003,000 - 1,671,000; Full time

Job summary

Besedo is seeking a senior AI/ML professional to lead the productionization, deployment, and optimization of ML systems across Implio's content moderation platform. You will own end-to-end ML lifecycle from research to production with a focus on reliability and cost efficiency.

The role requires strong ML depth, MLOps experience, and the ability to drive architecture and best practices across teams, all in a fully remote EU setting.

Qualifications

• Master’s/PhD in Computer Science, Engineering or Data Science.
• 6+ years in ML engineering and MLOps with production delivery.
• Proven ability deploying models to production with latency, throughput and observability considerations.
• Strong Python and ML framework experience (PyTorch, scikit-learn).

Responsibilities

• Lead productionization and deployment of ML models in mission-critical environments.
• Design and optimize training/retraining pipelines and feature generation workflows.
• Build high‑performance inference services and deployment patterns.
• Drive inference optimization and cost/performance trade-offs; ensure reliability and observability.
• Communicate results and trade-offs to stakeholders for business value.

Skills

ML engineering

MLOps/production ML

Python

CI/CD for ML

Docker

ONNX/TensorRT

GPU/CPU optimization

Monitoring & reliability

Kubernetes

AWS

Education

Master’s/PhD or equivalent

Tools

PyTorch

scikit-learn

ONNX

TensorRT

Docker

GitLab CI

FastAPI

Kubernetes

SageMaker

Job description

Who We Are

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.

Learn more about Implio in this video, and discover more about Besedo on our website.

The role

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.

What We’re Looking For

• 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.
• Strong proficiency in Python.
• Hands‑on experience with ML frameworks such as PyTorch, scikit‑learn, and optimization/runtime stacks like ONNX, TensorRT.
• Strong grasp of CI/CD for ML (e.g., GitLab CI), containerization (Docker), and reproducible workflows.
• 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.

What you’ll own

• Handle the production lifecycle of ML systems: training, packaging, deployment, monitoring and controlled rollouts.
• Design, build, and continuously improve training and retraining pipelines (data ingestion, labeling/QA loops, feature generation, experiment tracking, reproducibility).
• Build and improve high‑performance inference services and deployment patterns.
• Drive inference optimization (ONNX/TensorRT, quantization, batching, GPU/CPU tuning) with measurable latency/cost improvements.
• Partner with DevOps/SRE to ensure operational excellence: scaling, reliability, incident readiness, observability, and alerting.
• Own model versioning, CI/CD, and release workflows ensuring reproducibility and safe delivery to production.
• Strengthen data & model monitoring (performance, drift, quality) and implement feedback loops for continuous improvement.
• Communicate results and trade‑offs to stakeholders, turning technical outcomes into business value.
• Ensure model quality through rigorous evaluation and production‑grade validation aligned with evolving data and business needs.

How you’ll work

• 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 Engineers, DevOps and Developers who are passionate about their work and like to have fun in the process.

We welcome applicants of all backgrounds.

How We Work Together

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

• We like to get things done
• We support each other to reach our goals and grow as professionals
• We love to learn, share and have fun together