AI Platform Engineer

AI Platform Engineer

Full-Time 48000 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and maintain scalable ML infrastructure for cutting-edge AI projects.
  • Company: Innovative AI research company in Oxford with a hybrid work model.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Why this job: Join a team shaping the future of AI technology and make a real impact.
  • Qualifications: 4+ years in platform engineering with strong ML infrastructure experience.
  • Other info: Dynamic environment with a focus on collaboration and innovation.

The predicted salary is between 48000 - 72000 £ per year.

Location: Oxford, United Kingdom (Hybrid)

Recruitment Partner: J&T Recruitment – Exclusively Retained

J&T Recruitment has been exclusively retained by an innovative AI research and technology company in Oxford seeking an AI Platform Engineer. This role will focus on building the infrastructure and platforms that support machine learning development, model training, and large-scale deployment across cloud environments.

Key Responsibilities

  • Build and maintain scalable ML infrastructure
  • Develop tools and platforms supporting machine learning workflows
  • Improve performance of AI model training pipelines
  • Implement MLOps practices for model deployment and monitoring
  • Work closely with data scientists and AI researchers

Technical Skills

  • Python
  • AWS / GCP
  • Docker
  • Terraform

Requirements

  • 4+ years experience in platform engineering or ML infrastructure
  • Experience supporting machine learning systems in production
  • Strong knowledge of containerized infrastructure
  • Experience with cloud-native technologies

Interview Process (5 Stages)

  • Introduction via J&T Recruitment – discussing experience in ML infrastructure.
  • Technical Coding Interview – 60 minutes – Python problem solving and infrastructure-related coding.
  • ML Infrastructure Interview – 75 minutes – Discussion around model training pipelines and ML infrastructure challenges.
  • Platform Design Interview – 90 minutes – Designing a scalable AI platform architecture.
  • Final Leadership Interview – 45 minutes – Cultural fit discussion with engineering leadership.

AI Platform Engineer employer: J&T Business Consulting

Join an innovative AI research and technology company in Oxford, where you will be part of a dynamic team dedicated to pushing the boundaries of machine learning. With a hybrid work model, competitive benefits, and a strong focus on employee growth, this company fosters a collaborative culture that encourages creativity and innovation. You'll have the opportunity to work alongside leading experts in the field, contributing to impactful projects while enjoying a supportive environment that values your professional development.
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Contact Detail:

J&T Business Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Platform Engineer

✨Tip Number 1

Get to know the company before your interview! Research their projects and values so you can show genuine interest. This will help us connect with the interviewers and demonstrate that you're not just another candidate.

✨Tip Number 2

Practice coding problems related to Python and infrastructure. Use platforms like StudySmarter to brush up on your skills. The technical coding interview is crucial, so let’s make sure we’re ready to tackle those challenges head-on!

✨Tip Number 3

Prepare for the ML Infrastructure Interview by thinking about real-world challenges you've faced. We want to hear your problem-solving approach, so have some examples ready to share that highlight your experience in building scalable ML systems.

✨Tip Number 4

Don’t forget to showcase your soft skills during the final leadership interview! Cultural fit is key, so be yourself and let your personality shine through. Remember, we’re looking for someone who can collaborate well with our team!

We think you need these skills to ace AI Platform Engineer

Python
AWS
GCP
Docker
Terraform
Machine Learning Infrastructure
MLOps
Cloud-native Technologies
Scalable ML Infrastructure
Model Training Pipelines
Performance Improvement
Collaboration with Data Scientists
Problem Solving

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the AI Platform Engineer role. Highlight your experience with ML infrastructure, Python, and cloud technologies like AWS or GCP. We want to see how your skills match what we're looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Keep it concise but engaging – we love a good story!

Showcase Relevant Projects: If you've worked on any projects related to machine learning or platform engineering, make sure to mention them. We want to see your hands-on experience and how you've tackled challenges in the past. Don’t be shy about your achievements!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about us and what we do!

How to prepare for a job interview at J&T Business Consulting

✨Know Your Tech Inside Out

Make sure you’re well-versed in Python, AWS/GCP, Docker, and Terraform. Brush up on your coding skills and be ready to tackle technical problems during the interview. Practising coding challenges can really help you feel more confident.

✨Understand ML Infrastructure

Familiarise yourself with machine learning workflows and the challenges that come with model training pipelines. Be prepared to discuss your past experiences and how you've improved performance in similar roles. Real-world examples will make your answers stand out.

✨Designing Scalable Solutions

During the Platform Design Interview, think about scalability and efficiency. Prepare to explain your thought process when designing an AI platform architecture. Consider potential bottlenecks and how you would address them to ensure smooth operations.

✨Cultural Fit Matters

The final interview is all about cultural fit, so do your homework on the company’s values and work environment. Be ready to share how your personal values align with theirs and why you’d be a great addition to their team. Authenticity goes a long way!

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