We're hiring a Senior Machine Learning Engineer to lead the design and delivery of end-to-end ML pipelines at scale in distributed environments. This role involves building real-time inference systems, model serving solutions, and owning MLOps. The ideal candidate will have deep Python experience, strong MLOps knowledge, and excellent communication skills.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
We're Hiring: Senior Machine Learning Engineer | Portugal
We're partnering with a fast-growing global game-tech company to find a Senior ML Engineer who's ready to lead - not just build.
This is a role for engineers who think in systems, mentor those around them, and take real ownership of complex AI products from concept to production.
What you'll be working on:
- Designing and delivering end-to-end ML pipelines at scale in distributed environments
- Building real-time inference systems and model serving solutions
- Owning MLOps: CI/CD, drift monitoring, automated evaluation, and alerting
- Leading project planning, roadmaps, and post-launch retrospectives
- Collaborating cross-functionally with Data Scientists, Data Engineers, and Product Owners
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What makes this role stand out:
This isn't a heads-down engineering seat. You'll mentor fellow engineers, drive technical vision, and help shape how ML is operationalised across an AI department spanning fraud detection, personalised recommendations, CRM optimisation, and AI-powered copilots.
What you bring:
→ Deep Python experience in large-scale, high-performance production environments
→ Proven ability to design complex, scalable ML systems — and influence broader technical outcomes
→ Hands-on with Azure or AWS, and tools like Kubernetes & Docker
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→ Experience with real-time data streaming (Kafka, Spark Streaming)
→ Strong MLOps knowledge: MLflow, Kubeflow, and the full ML project lifecycle
→ A genuine track record of mentoring and growing engineers
→ Excellent communication skills — you can make complex technical ideas land with any audience
Location: Portugal (fully remote or hybrid with 1 day/week in the office if you're based in Lisbon)
Employment: Direct hire with our client
Benefits:
- Performance bonus of up to 22%
- Company card with a monthly personal spending allowance
- Private healthcare coverage
- Meal card & WFH allowance
- Unlimited Udemy access
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