Remote AI Engineer — Production ML & RLHF Specialist in Newcastle upon Tyne

Remote AI Engineer — Production ML & RLHF Specialist in Newcastle upon Tyne

Newcastle upon Tyne Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Prolific

At a Glance

  • Tasks: Evaluate AI models and refine frameworks to align with human intent.
  • Company: Prolific, a forward-thinking company based in Newcastle upon Tyne.
  • Benefits: Competitive pay rates and flexible working conditions.
  • Other info: Exciting opportunity for growth in a dynamic tech environment.
  • Why this job: Join a team shaping the future of AI and make a real impact.
  • Qualifications: Strong background in Computer Science and experience with ML model deployment.

The predicted salary is between 50000 - 60000 £ per year.

Prolific is seeking an AI & Machine Learning Engineer based in Newcastle upon Tyne. This role involves evaluating AI models, auditing code, and refining frameworks to ensure models align with human intent.

The ideal candidate will have a robust educational background in Computer Science or a related field, along with professional experience in deploying ML models and expertise in tools like PyTorch and TensorFlow.

Prolific offers competitive pay rates and flexible working conditions.

Remote AI Engineer — Production ML & RLHF Specialist in Newcastle upon Tyne employer: Prolific

Prolific is an exceptional employer that values innovation and flexibility, offering a dynamic work culture where AI Engineers can thrive. With competitive pay rates and the opportunity to work remotely from Newcastle upon Tyne, employees benefit from a supportive environment that encourages professional growth and collaboration on cutting-edge projects in machine learning. Join us to be part of a forward-thinking team dedicated to aligning technology with human intent.

Prolific

Contact Details:

Prolific Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote AI Engineer — Production ML & RLHF Specialist in Newcastle upon Tyne

Tip Number 1

Network like a pro! Reach out to folks in the AI and ML community, especially those who work at Prolific. A friendly chat can open doors and give you insights that might just land you an interview.

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects with PyTorch and TensorFlow. Share it on platforms like GitHub and make sure to highlight any relevant experience in deploying ML models.

Tip Number 3

Prepare for the technical interview! Brush up on your coding skills and be ready to discuss your past projects. Practising common ML and AI interview questions can really boost your confidence.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.

We think you need these skills to ace Remote AI Engineer — Production ML & RLHF Specialist in Newcastle upon Tyne

AI Model Evaluation
Code Auditing
Framework Refinement
Human Intent Alignment
Machine Learning Model Deployment
PyTorch
TensorFlow

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with ML models and tools like PyTorch and TensorFlow in your application. We want to see how your background aligns with the role, so don’t hold back!

Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for.

Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and get straight to the point about your qualifications.

Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!

How to prepare for a job interview at Prolific

Know Your Tech Inside Out

Make sure you’re well-versed in the tools mentioned in the job description, like PyTorch and TensorFlow. Brush up on your knowledge of ML models and be ready to discuss your past experiences with them. This will show that you’re not just familiar with the tech but can also apply it effectively.

Prepare for Technical Questions

Expect to face some technical questions during the interview. Practice explaining complex concepts in simple terms, as this demonstrates your understanding. You might even want to run through some coding challenges or model evaluations beforehand to keep your skills sharp.

Showcase Your Problem-Solving Skills

Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them. Prolific is looking for someone who can refine frameworks and ensure models align with human intent, so share examples that highlight your analytical thinking and problem-solving abilities.

Ask Insightful Questions

At the end of the interview, don’t forget to ask questions! Inquire about the team’s current projects or the company’s approach to AI ethics. This shows your genuine interest in the role and helps you gauge if the company culture aligns with your values.