or apply directly on Wayve's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 21 days Wayve's roles stay open a median of 40 days
- Reposted
- No
- Salary listed
- No 40% of Wayve's roles list one
- Ghost-job risk at Wayve
- high 77 stale, 1 reposted of 169 open
- Hiring momentum
- 201 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Wayve's own greenhouse board since 2026-08-03. Full hiring picture for Wayve.
About this role
As a Staff Machine Learning Engineer (Ops) at Wayve, you will oversee the model development cycle, ensuring that each training phase is validated before proceeding to the next. Your role involves collaborating with various teams to enhance ML delivery pipelines, identifying bottlenecks, and implementing improvements to maintain high standards of quality and safety in model releases. You will also stay updated on MLOps practices to continuously refine workflows and methodologies.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Wayve as an employer.
What you need
- Full system thinker with experience of introducing operational processes to build engineering excellence
- Strong ML Ops, model registry and ML lifecycle experience
- A deep technical depth in ML training
- A strong understanding of ML code infrastructure and best practices – experience with pytorch, tensor RT, quantisation and model deployment
- Strong CI/CD and Github Actions experience
- Strong communications skills with a collaborative mindset
Nice to have
- Experience with Pytorch, TensorRT, quantisation and model deployment
- Experience with Grafana monitoring and production observability
What you get
- Hybrid working policy that combines time in the office and remote work
Worth weighing
- High-trust, high-visibility role with significant impact on product performance
- No specific salary or benefits beyond hybrid work policy mentioned
- Focus on collaboration with multiple teams may require strong interpersonal skills
Summarised from Wayve's posting. Read the full original.
Listed by Wayve on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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