Technical Delivery Lead - Machine Learning at Beyond Sports

At a glance

Company
Beyond Sports
Location
Alkmaar, NL, Netherlands
Work arrangement
On-site
Employment type
Full-time
Experience
5–10 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Beyond Sports job

  • 🏢 This is Beyond Sports's only job here right now
  • 🛂 Visa: Highly Skilled Migrant permit. 30 or older: €5,942 a month guide
  • 💡 No salary shown. Ask Beyond Sports if it is above the minimum.

Updated 2026-11-01, from our data and official sources.

Apply for this role at Beyond Sports

About the role

Responsibilities:
- Leidinggeven aan squads die AI-gedreven systemen bouwen; combineren van delivery ownership met hands-on engineering (~60% van de tijd).
- Ontwerpen en beoordelen van architecturen, bouwen van POCs en oplossen van complexe technische blokkades.
- Opzetten en opschalen van ML-pijplijnen (training, serving, monitoring, retraining) voor motion synthesis, trajectory prediction en real-time inference.
- Implementeren van production-ready inference services, CI/CD en MLOps-praktijken; bewaken van performance en kosten in de cloud.
- Coach en mentor voor engineers; invoeren van engineering standaarden, technische governance en best practices.
- Samenwerken met Product, Architects en creatieve teams om technische keuzes af te stemmen op productdoelen.

Requirements:
- Sterke achtergrond in software engineering en technische leiderschap met bewezen ervaring in het in productie brengen van ML-systemen.
- Hands-on ervaring met PyTorch en moderne ML-workflows; bekend met MLOps-tools zoals MLflow en CI/CD pipelines.
- Cloud-ervaring (AWS/Azure/GCP) en inzicht in schaalbare inference-architecturen.
- Ervaring met Transformers, GNNs, diffusion models of RNNs en real-time/3D pipelines is een sterke pré.
- Ervaring met performance- en cost‑optimalisatie, monitoring en retrainingstrategieën.
- Sterke communicatieve vaardigheden, mentorship-ervaring en bereidheid om op locatie in Alkmaar te werken.

Responsibilities

Lead engineering squads delivering complex AI-driven systems, shaping architecture and delivery strategy, and guiding Proofs of Concepts. Stay hands-on with engineering about 60% of time, building POCs, solving difficult problems, and unblocking delivery. Drive engineering standards, delivery practices, and technical governance across the business.

Requirements

Strong experience in software engineering, technical delivery, or technical leadership; track record deploying ML systems to production (serving, monitoring, retraining); experience mentoring teams; hands-on with PyTorch; familiarity with MLOps tools (MLflow, CI/CD); cloud experience (AWS/Azure/GCP); comfortable with transformers/RNNs or diffusion models; willingness to work on-site in Alkmaar.

Key skills

  • PyTorch — in 87 other listings on The Stack
  • MLflow — in 24 other listings on The Stack
  • CI/CD — in 617 other listings on The Stack
  • AWS — in 776 other listings on The Stack
  • Azure — in 134 other listings on The Stack
  • GCP — in 163 other listings on The Stack
  • Transformers — in 6 other listings on The Stack
  • Graph Neural Networks — in 3 other listings on The Stack
  • Diffusion models
  • RNNs
  • MLOps
  • Unity

On The Stack (as of 2026-11-01)

Frequently asked questions about Beyond Sports

Is this Technical Delivery Lead - Machine Learning role still open?

It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on Beyond Sports's application page before applying.

Does Beyond Sports offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Beyond Sports's site.

Where is this role located?

The listing gives the location as Alkmaar, NL, Netherlands. It is marked on-site.

What skills does this role ask for?

The listing names: PyTorch, MLflow, CI/CD, AWS, Azure, GCP, Transformers, Graph Neural Networks, Diffusion models, RNNs, MLOps, Unity.

All roles at Beyond Sports

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