Job Specifications
Machine Learning Engineer (Mid-Senior) - 12-Month Freelance Contract (Hybrid - Brussels)
AI. Real-World Impact. Not a side project.
I'm working with a major European insurer who's investing heavily in AI to transform how risk is modeled, fraud is detected, and claims are processed.
They've launched a new program to push advanced machine learning into core insurance systems, and they're assembling a team of hands-on ML engineers to make it happen.
This isn't academic research, it's applied ML in a highly regulated, data-rich environment.
The Role
We're looking for a Machine Learning Engineer to design, build, and deploy models in areas such as:
Fraud detection across high-volume transactional data
Risk modeling with structured + unstructured datasets
Predictive analytics for claims and customer behavior
NLP-driven automation for documents and claims processing
12-month freelance contract, strong extension potential.
Hybrid in Brussels, on-site 2-3 days/week for collaboration with product + actuarial teams.
What We're Looking For
Strong ML engineers who know how to get models into production.
You've built and deployed ML in real-world environments, you understand the trade-offs between theory and application, and you can handle end-to-end pipelines.
Must-haves:
4+ years in ML engineering
Strong with Python, PyTorch/TensorFlow, MLOps tooling
Experience with structured/tabular data, time-series, or NLP
Solid grasp of optimisation, performance
Background in CI/CD, Docker/K8s, cloud or hybrid infra
Able to work onsite in Brussels (hybrid, 2-3 days/week)
Tech Environment
Languages/Frameworks: Python, PyTorch, TensorFlow, Scikit-learn
MLOps/Infra: MLflow, Airflow, Kubernetes, Docker, Terraform
Cloud: AWS / GCP hybrid environments
Data: SQL/NoSQL, insurance domain data (claims, policy, transactional)
Why This Project?
Insurance is an industry where ML actually changes outcomes, catching fraud before it happens, improving fairness in underwriting, and speeding up claims when customers need it most.
Applied ML on massive, complex datasets
Autonomy and ownership from day one
Collaborate with actuaries, data scientists, and product leads
Build models that make real business and customer impact
About the Company
With almost two decades of technical staffing expertise, g2 Recruitment has expanded into a 250-strong team across 10 offices, each specializing in the art of pairing clients with the perfect candidates within European Engineering and Technology, as well as for the UK Government Authorities.
Situated within the UK and Western Europe (Netherlands, Belgium, Germany, Switzerland) our aim is to provide talent solutions to help clients source the top talent for their jobs, whilst ensuring candidate’s career progression reaches u...
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