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Quik Hire Staffing

EMember of Technical Staff - Enterprise AI (Remote)

United Kingdom
$250k – $500k/yr
Posted 1 day ago
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EMember of Technical Staff - Enterprise AI (Remote)

Member of Technical Staff, Enterprise AI

Location: Remote (Work from Anywhere) Job Type: Full-Time Compensation: $250K – $500K/year

About the Role

We are hiring for a Member of Technical Staff, Enterprise AI to design, build, and deploy impactful AI solutions for enterprise environments. This full-time role involves collaborating with cross-functional teams to architect and integrate scalable AI systems into existing technical infrastructure.

Key Responsibilities

  • Develop and optimize AI models for enterprise applications, emphasizing performance, scalability, and reliability.
  • Design and implement machine learning pipelines, covering data ingestion, processing, and model training.
  • Partner with software engineers to integrate AI components into production systems and APIs.
  • Evaluate and select appropriate AI frameworks and tools to meet business and technical needs.
  • Maintain comprehensive documentation for AI systems, including architecture diagrams, model specifications, and deployment procedures.

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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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.

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It 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.

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Strong

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.

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Strong

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.

Required Skills & Qualifications

  • Degree: Bachelor’s or advanced degree in Computer Science, Engineering, or a related quantitative discipline.
  • Experience: 5+ years in software development, with a specialization in AI/machine learning applications.
  • Technical Proficiency:
    • Strong proficiency in Python, with hands-on experience using frameworks like TensorFlow, PyTorch, or JAX.
    • Expertise in cloud platforms (AWS, GCP, Azure) and MLops tools for deploying and monitoring models.
  • Problem-Solving: Ability to design end-to-end AI solutions for complex enterprise challenges.

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About the Opportunity

This is an exciting opportunity to work with a **global leader in Software Development | Technology, Information and Internet | IT Services and IT Consulting | Information Services—shaping the future of enterprise AI. The role offers exposure to high-impact projects and the chance to innovate in this dynamic field.

Equal Opportunity Employer

We hire based solely on skills and technical ability. All qualified candidates are welcome, regardless of experience, background, or employment history.

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Skills

Python
AI
Machine Learning
TensorFlow
PyTorch
JAX
Cloud Platforms
AWS
GCP
Azure
MLOps
Problem-Solving
Data Ingestion
Model Training
APIs
Documentation

Location

United Kingdom

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