Knoxville, TN
MLOps engineers who bridge data science and production. Crosscheck recruits AI/ML & LLM Engineering candidates for contract, contract-to-hire, and permanent roles tied to Knoxville.
What We Place
Representative roles
Platforms and technologies
Our Approach
This editorial hiring guide starts with sourced Knoxville business context. The Knoxville Chamber, the economic-development organization for the city and county, ties the regional innovation strategy to the University of Tennessee, Oak Ridge National Laboratory, and the Tennessee Valley Authority. Its 2026 reporting also identifies strengths in defence, cybersecurity, health and medical technology, semiconductors, energy, and robotics. An MLOps Engineer owns the controls that move models from experiments into supported services. The search brief should name the training environment, registry, deployment targets, approval path, observability stack, and teams that share the platform.
Source MLOps engineers with production ownership of model pipelines and serving infrastructure
Vet on model serving, experiment tracking, feature stores, and retraining workflows
target a first candidate slate within 48 hours for qualified exclusive searches in our core disciplines after a completed intake
Permanent placements include a 90-day replacement guarantee, subject to the signed agreement.
Start the search
Include the business context, systems, delivery phase, work model, compensation, and interview timeline. A Crosscheck search lead will use that context to calibrate the role before sourcing begins.
Local Market Brief
Separate platform construction from day-to-day model operations. Some teams need reusable pipelines and infrastructure; others need release governance, incident response, cost control, or migration from manually operated notebooks. The three sourced Knoxville contexts below turn that scope into intake and screening decisions. They do not measure current vacancies, candidate supply, or Crosscheck client activity.
Editorial market scenario
Ask candidates to show how they moved technical work into a maintained system. Record the handoff, monitoring, documentation, and operating constraints. This is planning guidance, not measured local demand.
Editorial industry scenario
A research-facing brief should separate experimental work from ownership of maintained systems, users, documentation, and deadlines. Confirm that this context applies to the employer before using it in the search.
Screening focus
We test for model or application ownership, evaluation discipline, data judgment, and evidence that the candidate has shipped reliable AI systems.
Published labor benchmark
BLS does not publish an occupation matching MLOps Engineer. Crosscheck uses Data Scientists (15-2051) as the closest published broad benchmark; it is not a count or pay estimate for this exact specialty.
BLS OEWS May 2025, published May 15, 2026
Published metro employment
320
BLS publishes fewer than one thousand metro jobs for the proxy occupation. Treat the estimate as a reason to define location flexibility before outreach. The estimate equals 0.761 jobs per one thousand across the metro workforce.
Employment concentration
0.45 location quotient
Knoxville, TN reports a below-national employment concentration for this proxy occupation. Decide which requirements justify a wider regional or remote search.
Annual wage reference
$61,980 to $149,090
The metro median is 23% below the national Data Scientists median. Do not use the gap to discount niche platform or domain experience. BLS reports a $92,640 median for the proxy occupation in Knoxville, TN.
Hiring brief scenarios
These scenarios connect location context to role responsibilities. Use them as prompts to verify with the employer, not as measures of Knoxville demand, clients, or candidate supply.
Sourced energy and research infrastructure context
Knoxville's Regional Innovation Growth Strategy centers on research and infrastructure assets at the University of Tennessee, Oak Ridge National Laboratory, and the Tennessee Valley Authority. Require reproducible training and lineage for the local data setting. The candidate should account for code, configuration, data versions, model artifacts, and approval records without copying sensitive data into uncontrolled tools. Research and energy work can connect experiments, scientific data, models, grid or facility assets, sensors, safety controls, intellectual property, commercialization, and public funding evidence.
Evidence to request: Ask for a pipeline diagram or repository structure that shows lineage, repeatable environments, and artifact retention. Name the research or energy outcome, data and asset boundary, instrument or grid interface, safety control, reproducibility test, intellectual-property rule, transfer step, and approval owner.
Sourced health and medical technology context
The Chamber's May 2026 economic report identifies health and medical technology among Knoxville's stronger technology-sector positions. Define promotion between development, test, and production. Ask who approves a model, which automated checks block release, and how the team handles a failed deployment. Medical-technology systems may join patient records, device configurations, sensors, laboratories, product quality, validation, complaints, access control, and regulated retention.
Evidence to request: Review a release-control example with test gates, registry state, deployment strategy, and rollback steps. Set the clinical or device outcome, patient or test record, protected fields, hardware interface, validation evidence, quality gate, complaint path, retention rule, and approver.
Sourced defence, cyber, semiconductors, and robotics context
The same May 2026 report identifies defence, cybersecurity, semiconductors, and robotics among Knoxville's stronger technology sectors. Set operating ownership for model services and training jobs. Include capacity, cost, feature freshness, prediction quality, and rollback signals in the interview scenario. These settings can connect classified or sensitive data, identity, software supply chains, wafers, equipment, embedded controls, robots, testing, incident response, and release evidence.
Evidence to request: Use an incident involving stale features, failed training, or degraded predictions and score the candidate's diagnosis path. Choose the mission, chip, cyber, or robotic system, then define its trust boundary, configuration, hardware and software interface, verification, incident or defect path, and release authority.
Interview scorecard
Ask each candidate the same core questions. Score the evidence, ownership, and judgment in the answer instead of relying on job-title or keyword matches.
1. MLOps Engineer: Kubeflow
Choose a Kubeflow decision from your work as MLOps Engineer. Which constraint changed the design, and what evidence supported the result?
Use the answer to assess experiment design, evaluation, reproducibility, deployment, monitoring, and product ownership. The research and technical commercialization context is an editorial scenario, not a measured claim about Knoxville.
2. ML Platform Engineer: MLflow
Describe project work you completed as ML Platform Engineer involving MLflow that did not follow the original plan. What did you own, and how did you correct it?
Use the answer to assess experiment design, evaluation, reproducibility, deployment, monitoring, and product ownership. The research and technical commercialization context is an editorial scenario, not a measured claim about Knoxville.
3. AI Infrastructure Engineer: Metaflow
For a Metaflow system you supported, explain the handoff, operating limits, and measures used after launch. Where did your responsibility begin and end?
Use the answer to assess experiment design, evaluation, reproducibility, deployment, monitoring, and product ownership. The research and technical commercialization context is an editorial scenario, not a measured claim about Knoxville.
Need the full MLOps Engineer evaluation guide?
The role guide covers technical scope, interview questions, and evidence checks once, without repeating the same material on every city page.
FAQ
For qualified exclusive searches in our core disciplines, Crosscheck targets a first candidate slate within 48 hours after a completed intake. Contract placements include a 40-billable-hour replacement guarantee, and permanent placements include a 90-day replacement guarantee, subject to the signed agreement.
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