Junior AI Scientist in Northampton

Junior AI Scientist in Northampton

Northampton Full-Time 28800 - 48000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and deploy AI models in a dynamic SaaS environment.
  • Company: Join a growing tech team in Northampton with a focus on innovation.
  • Benefits: Competitive salary, hybrid work model, and hands-on experience with real AI systems.
  • Why this job: Make an impact by working on cutting-edge AI projects from day one.
  • Qualifications: Master's degree in relevant fields and experience with Python and ML libraries.
  • Other info: Collaborate with experts and grow your skills in a supportive environment.

The predicted salary is between 28800 - 48000 £ per year.

We’re looking for a curious and ambitious Graduate AI Engineer to join our growing SaaS team based in Northampton. This is an excellent opportunity for a recent postgraduate to work hands-on with real-world AI and machine learning systems, contributing directly to intelligent, scalable software used by customers every day.

You’ll work closely with experienced engineers, data scientists, and product teams to design, build, and deploy AI-driven features across our platform — from experimentation through to production.

  • Design, develop, and deploy machine learning and AI models within a SaaS environment
  • Work with structured and unstructured data to build predictive and intelligent features
  • Collaborate with software engineers to integrate models into production systems
  • Evaluate, test, and improve model performance over time
  • Contribute to data pipelines, model training workflows, and MLOps practices
  • Stay up to date with the latest developments in AI, ML, and data science

Requirements:

  • Master’s degree or higher in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field
  • Strong foundations in machine learning, algorithms, and statistics
  • Experience with Python and common ML libraries
  • Understanding of software engineering fundamentals and version control
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Familiarity with data engineering tools or SQL
  • Internship, research, or project experience in applied AI

Hybrid role: a mix of office-based work in Northampton and remote working. Competitive graduate salary. Opportunity to work on real production AI systems from day one.

Junior AI Scientist in Northampton employer: Intellect Group

Join our dynamic SaaS team in Northampton as a Junior AI Scientist, where you'll be immersed in a collaborative and innovative work culture that fosters growth and creativity. With a competitive graduate salary and the chance to work on real-world AI systems from day one, we prioritise your professional development while offering a hybrid working model that balances office and remote work. Our commitment to staying at the forefront of AI and machine learning ensures that you will continually learn and evolve in your career.
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Contact Detail:

Intellect Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Junior AI Scientist in Northampton

✨Tip Number 1

Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. We can’t stress enough how valuable connections can be when it comes to landing that Junior AI Scientist role.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving AI and machine learning. We love seeing real-world applications of your knowledge, so make sure to highlight your hands-on experience.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions and coding challenges. We recommend practicing with friends or using online platforms to simulate the interview experience. Confidence is key!

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates like you to join our team.

We think you need these skills to ace Junior AI Scientist in Northampton

Machine Learning
AI Model Development
SaaS Environment
Data Analysis
Python
ML Libraries
Software Engineering Fundamentals
Version Control
Cloud Platforms (AWS, Azure, GCP)
Data Engineering Tools
SQL
Model Performance Evaluation
MLOps Practices
Collaboration Skills
Statistical Analysis

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Junior AI Scientist role. Highlight your relevant skills, experiences, and projects that align with AI and machine learning. We want to see how you can contribute to our SaaS team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to express your passion for AI and how your background makes you a great fit for us. Don’t forget to mention why you’re excited about working at StudySmarter!

Showcase Your Projects: If you've worked on any AI or machine learning projects, make sure to include them in your application. We love seeing practical examples of your work, so share links or descriptions that demonstrate your skills!

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 don’t miss out on any important updates from our team!

How to prepare for a job interview at Intellect Group

✨Know Your AI Stuff

Make sure you brush up on your machine learning fundamentals and algorithms. Be ready to discuss your experience with Python and any ML libraries you've used. They’ll likely ask you about specific projects or internships, so have some examples ready that showcase your skills.

✨Show Your Curiosity

This role is all about being curious and ambitious. Prepare questions about the company’s AI projects and express your eagerness to learn from experienced engineers. This will show them that you're not just looking for a job, but genuinely interested in contributing to their team.

✨Get Familiar with SaaS

Since this position involves working within a SaaS environment, it’s crucial to understand how AI models integrate into production systems. Brush up on your knowledge of cloud platforms like AWS, Azure, or GCP, and be prepared to discuss how you would approach deploying AI-driven features.

✨Practice Problem-Solving

Expect some technical questions or case studies during the interview. Practice solving problems related to model performance evaluation and data pipelines. Being able to articulate your thought process clearly will impress the interviewers and demonstrate your analytical skills.

Junior AI Scientist in Northampton
Intellect Group
Location: Northampton

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