AI/ML Engineer

Overview

About the job

We’re looking for an AI/ML Engineer to join a forward-thinking Software Engineering organisation within a major global automotive OEM.

The role is engineering-first — designing, building, and delivering end-to-end AI/ML solutions that solve real engineering and product problems. Engineers in this role contribute across the full lifecycle, from design and development through validation and production handoff, working closely with product teams and the MLOps function.

Engagement detail

Location: Auburn HillsContract type: Permanent or freelanceStart date: ASAPWork model: HybridBenefits: Competitive package; high-impact, high-visibility role within a major software-defined vehicle programme

Responsibilities

Design and implement ML models using structured, time-series, and unstructured dataApply AI/ML techniques pragmatically to engineering, quality, and product use casesBuild production-ready AI systems including data pipelines, feature engineering, model training and inference services, and integration with downstream systemsDevelop agentic solutions combining LLMs and other systemsContribute to reusable AI/ML components and shared engineering frameworksWrite clean, maintainable, and testable Python codeOwn implementation tasks from design through deployment readinessWork closely with stakeholders to clarify requirements and iterate solutionsPrepare solutions for operationalisation in partnership with MLOps teamsDevelop lightweight front-end components or internal tools — dashboards, experimentation interfaces, or demonstration tools — where required

Qualifications

Strong software engineering fundamentalsPractical experience applying machine learning in real production systemsProficiency in Python and common ML librariesAbility to work across data, modelling, and software concernsDegree in engineering, computer science, applied mathematics, or a related fieldExperience with cloud-based data or ML platforms is a plusExperience building agentic solutions is advantageousFamiliarity with MLOps concepts — CI/CD for ML, monitoring, retraining — is beneficialFrontend or full-stack experience supporting AI tools is a plusBackground in regulated or industrial engineering environments is advantageous

Next Steps

Click ApplyWe will review your application. If qualified, you’ll be accepted into the Hashlist network and considered for this and other relevant projects

Company:

Hashlist

Qualifications:

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Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Industry, Machine Learning, NLP, United States