Twine
AI Engineer – PyTorch & MLOps (Contract)

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Join a dynamic team to drive the development and deployment of advanced machine learning solutions at scale. This role focuses on building robust deep learning models, optimizing production ML services, and implementing modern MLOps practices to ensure high performance, reliability, and scalability. You will work closely with cross-functional teams to deliver impactful AI-driven features and maintain seamless integration with backend systems.
Responsibilities
- Design, develop, and deploy deep learning models using Python, PyTorch, and TensorFlow
- Build and maintain scalable data pipelines and APIs for production ML services
- Implement and manage MLOps workflows, including model monitoring, versioning, and CI/CD automation
- Optimize inference performance, reliability, and latency across cloud infrastructure (AWS, GCP)
- Collaborate with product, data, and engineering teams to define technical requirements and deliverables
- Conduct code reviews, contribute to technical design discussions, and ensure best practices in ML engineering
- Troubleshoot and resolve issues in production ML systems, ensuring high availability and robustness
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Skills And Requirements
- Minimum 6 years of experience deploying machine learning solutions in production environments
- Advanced proficiency in Python and experience with ML frameworks (PyTorch, TensorFlow)
- Strong background in MLOps, including Docker, Kubernetes, and CI/CD pipelines
- Hands-on experience with cloud platforms (AWS, GCP) and scalable backend integrations
- Proficient in SQL and data engineering for large-scale data processing
- Demonstrated ability to optimize model inference and system performance
- Excellent communication skills and experience collaborating with distributed teams
- Strong problem-solving skills and attention to detail


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About Twine
Twine is a leading freelance marketplace connecting top freelancers, consultants, and contractors with companies needing creative and tech expertise. Trusted by Fortune 500 companies and innovative startups alike, Twine enables companies to scale their teams globally.
Our Mission
Twine's mission is to empower creators and businesses to thrive in an AI-driven, freelance-first world.
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