Hire by role
Hire vetted MLOps / ML Platform Engineers who make AI operable at scale. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
MLOps Engineer
AI & Data
AvailabilityShortlist in 48 h
Vetted MLOps Engineer profiles free to start within 4 working days of signature. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
Indicative monthly rate per seat
| Level | Experience |
|---|---|
| Mid | 2–5 years |
| Senior | 5–9 years |
| Lead | 9+ years |
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Remote Pro Ai deploys vetted MLOps / ML Platform Engineers who make AI operable at scale. They build CI/CD for models and prompts with automated tests and approvals, run Kubernetes training and inference platforms with GPU scheduling, and give you drift, latency and cost dashboards.
Your MLOps Engineer builds CI/CD for models and prompts with automated testing and approvals, and implements feature stores, model registries and experiment tracking. Typical stack: Kubernetes, Terraform, MLflow, Kubeflow and Ray.
MLOps remains one of the hardest technical roles to fill in 2026. Organisations that proved value with a handful of models now need a platform to run dozens safely, with registries, feature stores and audit trails. Without that layer, AI programmes stall between pilot and enterprise rollout.
Remote Pro Ai team members in this role or its practice: identity verified and under contract. Open a profile for their experience, projects and skills.
Senior · Analytics Engineer
Identity verifiedView profile: Islam Shoier
Mid · Analytics Engineer
Identity verifiedView profile: Mohamed Fouad
Senior · Analytics Engineer
Identity verifiedView profile: Salma Othman
Builds CI/CD for models and prompts with automated testing and approvals
Runs Kubernetes-based training and inference platforms with GPU scheduling
Implements feature stores, model registries and experiment tracking
Designs observability for models: drift, latency, cost, quality dashboards
Delivers infrastructure as code with security and compliance baked in
Toolset on our bench
We test each capability in a live technical assessment scored by a practice lead. Nothing on this list is taken from a CV.
Mid2–5 years
Delivers well-scoped work independently within your architecture and standards.
Senior5–9 years
Owns a component or workstream end to end, reviews code and mentors.
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
Typical certifications held by our MLOps Engineer bench: CKA · AWS DevOps Pro · Azure DevOps Expert. We verify every certificate with the issuing body before a profile reaches you, and list verified credentials on each profile card.
Remote Pro Ai information security: ISO/IEC 27001 certification in progress (target Q2 2027) · SOC 2 Type II planned for 2027. Evidence and policies are in the Trust Center.
Not sure this is the right role? Describe the outcome you need and the Squad Builder maps it to roles, levels and a draft squad in minutes.
A Saudi insurer
Arabic GenAI knowledge assistant
6 engineers · 7 months
Bilingual RAG assistant with evaluation harness, human-in-the-loop review, monitoring, one-click rollback and PDPL-compliant logging
MatchIQ™ is our vetting and matching engine: 3.4% of applicants pass 5 gates. The live assessment for this role tests the 5 capabilities above against a realistic task.
Self-serve bookings receive a shortlist within 48 hours and enterprise requests get named candidates within 72 hours. After you approve a profile and sign, your specialist is working within 4 working days, whether the request is on the bench, off-bench or on-site. When fewer than 5 MLOps Engineer profiles are on the bench, we shortlist from the wider vetted network in the same 48 hours.
Pricing is quotation-based and depends on level, hours and any on-site, clearance or data-residency needs. Current bands: Mid · Senior · Lead — Seat prices are quoted per level, practice and engagement model in your itemised proposal — by e-mail within 2 minutes of your request.. VAT is shown separately, quotes can be viewed in SAR, AED, USD or EUR, and every quotation is valid for 30 days. The Squad Builder sends your itemised quote by email within 2 minutes.
Remote Pro Ai is contractually responsible for quality. Raise it at any time: a replacement starts within 4 working days; the full handover completes in under 14 days. Your first engagement also begins with a no-bill trial, one per company: 5 working days on self-serve bookings and 10 on enterprise contracts.
This role is offered at Mid, Senior and Lead level. We never place junior profiles. A practice lead confirms each specialist’s level through a live technical assessment and reference checks, so the band on your quotation reflects scope the person has already delivered rather than a job title on a CV.
Usually when models take weeks to deploy, nobody can say which version is live, or GPU costs climb without explanation. At that point the bottleneck is the platform, not the modelling. An MLOps engineer standardises training, deployment and monitoring so each new model ships in days instead of weeks.
Our bench covers Kubernetes, Terraform, MLflow, Kubeflow, Ray, Feast, Seldon, KServe, Argo and Prometheus, plus the managed equivalents on AWS, Azure and Google Cloud. Engineers recommend open-source or managed components based on your scale, sovereignty needs and in-house skills, and document the reasoning for your architects.
Yes. They extend CI/CD to prompts and LLM configuration: versioning, automated evaluation gates, staged rollout and rollback. The same observability tracks token cost, latency and answer quality, so GenAI applications get the release discipline your fraud or forecasting models already have.
Engineers deliver infrastructure as code with security built in: encryption, network isolation, role-based access, audit logs and model lineage. On sovereign or in-Kingdom cloud regions they keep training data and artefacts resident, producing evidence that maps to SAMA, NCA or ISO/IEC 42001 requirements.
Add this role to a squad, get your quote by email, and hold profiles free for 72 hours.
Build your squad online
No card needed · 72 h free hold · No-bill trial: 5 working days self-serve, 10 in the Enterprise lane.
20 minutes with an Account Director
No sales script.