Graduate AI Engineer

Graduate AI Engineer

Full-Time 25000 - 35000 £ / year (est.) No home office possible
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Scrumconnect Consulting

At a Glance

  • Tasks: Learn AI from experts while working on real-world projects and developing machine learning models.
  • Company: Join Scrumconnect, a leader in AI and machine learning innovation.
  • Benefits: Enjoy a competitive salary, flexible schedule, mentorship, and career development opportunities.
  • Other info: Hybrid remote work in Staines-upon-Thames with networking opportunities.
  • Why this job: Kick-start your AI career with hands-on experience and impactful projects.
  • Qualifications: Passion for AI/ML and basic Python skills; degree in a related field preferred.

The predicted salary is between 25000 - 35000 £ per year.

Job Information

Date Opened

15/09/2025

Job Type

Permanent

Work Experience

Fresher

Industry

IT Services

Salary

25k

City

Staines

Province

Surrey

Country

United Kingdom

Postal Code

TW18

Job Description

About Us

At Scrumconnect, we are at the forefront of artificial intelligence and machine learning innovation. Our mission is to leverage cutting-edge AI technologies to solve complex problems and improve everyday life. We are looking for passionate individuals eager to build a career in AI through a hands-on learning experience.

About the Role

As an AI Apprentice, you will have the unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role is designed to provide structured, real-world experience in machine learning, data processing, and model deployment while working on exciting projects. You\’ll gain practical experience in various stages of AI development, from data preprocessing and algorithm implementation to testing and optimizing AI models.

This is an ideal role for someone looking to start their career in AI or further develop their technical skills in a professional setting.

Key Responsibilities

  • Assist with data collection, preprocessing, and cleaning tasks.
  • Support the development and training of machine learning models.
  • Collaborate on AI research projects under the guidance of senior AI engineers.
  • Perform exploratory data analysis to identify patterns and trends.
  • Document project milestones, coding progress, and learnings.
  • Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision.
  • Participate in regular team meetings and brainstorming sessions.

Learning Opportunities

  • Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn.
  • Learn about data pipelines, from data ingestion to model deployment.
  • Deepen your understanding of algorithms, AI ethics, and the latest trends in AI.
  • Hands-on experience with real-world AI projects that impact our business and customers.
  • Mentorship and guidance from experienced professionals in the AI field.

Requirements

  • Passion for AI/ML: Demonstrated interest in artificial intelligence and machine learning.
  • Education: Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field.
  • Programming Skills: Basic proficiency in Python and familiarity with machine learning libraries.
  • Analytical Thinking: Ability to break down complex problems and communicate solutions.
  • Willingness to Learn: Strong desire to learn new technologies and methodologies.
  • Teamwork: Ability to collaborate with others and contribute to team success.

Preferred Qualifications

  • Experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch).
  • Understanding of data structures, algorithms, and mathematical foundations for AI.
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
  • Previous internship or project experience in AI/ML.

What We Offer

  • Mentorship: One-on-one mentorship with industry experts.
  • Flexible Schedule: Work hours can be adjusted based on your academic schedule.
  • Career Development: Support in developing your portfolio and skills for a future role in AI.
  • Networking Opportunities: Access to professional events and conferences in the AI industry.

How to Apply

  • Submit your resume and a cover letter detailing your interest in AI and why you\’d like to join our apprenticeship program.
  • Include any relevant projects or coursework that showcase your skills.

We are excited to help you kick-start your career in AI. Apply today

Job Types: Full-time, Permanent, Apprenticeship, Graduate

Pay: £25,000.00 per year

Benefits:

  • Company pension
  • Life insurance
  • On-site parking
  • Private medical insurance

Schedule:

  • Monday to Friday

Education:

  • Bachelor\’s (preferred)

Work Location: Hybrid remote in Staines-upon-Thames

Graduate AI Engineer employer: Scrumconnect Consulting

At Scrumconnect, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our Graduate AI Engineer role offers a unique opportunity to learn from industry experts while working on impactful AI projects in a hybrid remote setting in Staines-upon-Thames. With a strong focus on mentorship, flexible scheduling, and career development, we are dedicated to supporting your growth in the exciting field of artificial intelligence.
Scrumconnect Consulting

Contact Detail:

Scrumconnect Consulting Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Graduate AI Engineer

✨Tip Number 1

Network like a pro! Reach out to people in the AI field on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and machine learning. This gives potential employers a taste of what you can do.

✨Tip Number 3

Don’t just apply; engage! When you apply through our website, follow up with a quick email expressing your enthusiasm for the role. It shows initiative and keeps you on their radar.

✨Tip Number 4

Prepare for interviews by brushing up on common AI concepts and coding challenges. Practising with friends or using online resources can help you feel more confident when it’s your turn to shine.

We think you need these skills to ace Graduate AI Engineer

Machine Learning
Data Processing
Model Deployment
Data Preprocessing
Algorithm Implementation
Exploratory Data Analysis
Python
TensorFlow
PyTorch
Scikit-learn
Team Collaboration
Analytical Thinking
Willingness to Learn
Understanding of Data Structures
Familiarity with Cloud Platforms

Some tips for your application 🫡

Show Your Passion for AI: When writing your cover letter, let your enthusiasm for AI and machine learning shine through. Share any personal projects or experiences that sparked your interest in the field – we love to see genuine passion!

Tailor Your Resume: Make sure your CV highlights relevant skills and experiences that align with the role. Focus on your programming skills, any coursework related to AI, and projects that demonstrate your analytical thinking. We want to see what makes you a great fit!

Be Clear and Concise: Keep your application materials clear and to the point. Use bullet points for easy reading and avoid jargon unless it’s necessary. We appreciate straightforward communication that gets right to the heart of your qualifications.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure we receive all your materials properly. Plus, it shows you’re serious about joining our team at Scrumconnect!

How to prepare for a job interview at Scrumconnect Consulting

✨Know Your AI Basics

Brush up on your understanding of artificial intelligence and machine learning concepts. Be ready to discuss key terms like neural networks, data preprocessing, and model deployment. This shows your passion for the field and helps you connect with the interviewers.

✨Showcase Your Projects

Prepare to talk about any relevant projects or coursework you've completed. Highlight your experience with Python and any machine learning libraries you've used. This gives the interviewers a glimpse of your practical skills and how you can contribute to their team.

✨Ask Insightful Questions

Come prepared with questions about the role, the team, and the projects you'll be working on. This demonstrates your enthusiasm and willingness to learn. It also helps you gauge if the company is the right fit for you.

✨Emphasise Teamwork and Learning

Since this role involves collaboration and mentorship, share examples of how you've worked in teams and your eagerness to learn from others. This aligns perfectly with Scrumconnect's values and shows you're ready to grow in a supportive environment.

Graduate AI Engineer
Scrumconnect Consulting
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