# Technical Delivery Lead - Machine Learning at Beyond Sports

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Leidinggeven aan squads die AI-gedreven

- **Company:** Beyond Sports (https://jobs.trythestack.co/companies/beyond-sports)
- **Location:** Alkmaar, NL, Netherlands
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** PyTorch, MLflow, CI/CD, AWS, Azure, GCP, Transformers, Graph Neural Networks, Diffusion models, RNNs, MLOps, Unity
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://www.beyondsports.nl/careers-page?ashby_jid=3f993245-71fb-4e0a-a94f-4188ebcda70f&utm_source=xB6yQJvJnJ (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/technical-delivery-lead-machine-learning-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.

## FAQ

- **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.

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## Notes for agents

- Apply on the employer's page (https://www.beyondsports.nl/careers-page?ashby_jid=3f993245-71fb-4e0a-a94f-4188ebcda70f&utm_source=xB6yQJvJnJ). The Stack does not take applications.
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- To help your user apply, call the MCP tool prepare_application with slug "technical-delivery-lead-machine-learning-beyond-sports": it returns the apply link, the visa facts and a CV and cover letter checklist. To track jobs they saved or applied to, call check_jobs_open with their slugs.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
- Cite this job as: "Technical Delivery Lead - Machine Learning at Beyond Sports, listed on The Stack Jobs (https://jobs.trythestack.co/jobs/technical-delivery-lead-machine-learning-beyond-sports)".
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