Machine Learning Engineer III (Salary: $117,000 – $167,000) — Fanatics Betting & Gaming (Remote, US)

[u/ParlayJobsBoard]

Fanatics Betting & Gaming is hiring a Machine Learning Engineer III to build and scale the infrastructure behind recommendation, personalisation, and fan behaviour models across its ecosystem. This role sits between data science and production engineering, focused on getting ML systems running reliably at scale.

Key details:

• Location: Remote (US)
• Salary: $117,000 – $167,000
• Focus: ML infrastructure, recommendation systems, personalisation
• Stack: Python, Spark/Kafka, SageMaker/Databricks, SQL

What you’ll be doing:

• Building end-to-end ML infrastructure for recommendation and LTV systems
• Creating real-time and batch feature pipelines for low-latency predictions
• Scaling model serving systems for high-throughput production environments
• Partnering with Data Scientists to productionise ranking, churn, and propensity models
• Building embedding pipelines powering personalisation and affinity modelling
• Supporting experimentation and A/B testing infrastructure for model evaluation
• Improving model latency, accuracy, and reliability through monitoring and optimisation

What they’re looking for:

• 3–5+ years in ML engineering or data engineering
• Strong Python and production ML workflow experience
• Experience with ML platforms like SageMaker or Databricks
• Background building real-time pipelines and model serving systems
• Familiarity with recommendation systems, embeddings, and low-latency inference
• Experience with distributed systems (Spark, Kafka) and strong SQL skills
• Understanding of experimentation, A/B testing, and ML monitoring

Interesting role for engineers working on recommendation systems, personalisation, or MLOps who want to work on real-time fan behaviour and betting-related data products at scale.

Apply here: https://www.parlayjobs.com/jobs/machine-learning-engineer-iii-fes-08077960

ParlayJobs is a niche job board focused on sports betting, analytics, and gaming roles. Listings come directly from company career pages, helping avoid outdated reposts and aggregator spam.

[u/AutoModerator]

Thanks for sharing your job post! To keep this community readable for humans, we kindly request that each recruiter only post once per day and group your jobs into one text post. You can only also post your jobs in the "Who's Hiring" post. Please apply the correct "Hiring" flair and start your post with "[Hiring]" for clarity.

I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns.

[u/my_peen_is_clean]

nice one for recsys folks, actually lists salary and stack, rare to see