At a Glance
- Tasks: Research and develop machine learning models for real-world applications.
- Company: Fast-growing tech start-up at the forefront of AI innovation.
- Benefits: Competitive salary, collaborative environment, and fast career progression.
- Other info: Mentorship from industry leaders and exposure to advanced technologies.
- Why this job: Join a cutting-edge team and tackle real-world AI challenges.
- Qualifications: Master’s degree in a related field and strong ML concepts understanding.
The predicted salary is between 30000 - 40000 £ per year.
Location: Northampton, UK (Hybrid)
Employment Type: Full-Time
Salary: £35,000 - £40,000
About the Company
Intellect Group is proud to be partnering with a fast-growing technology start-up at the forefront of Machine Learning and Artificial Intelligence innovation. This dynamic and forward-thinking company is building advanced data-driven solutions that are reshaping industries — from predictive analytics and automation to generative AI applications.
The Role
This is an exciting opportunity for a highly motivated graduate to join a cutting-edge AI engineering team. You’ll work alongside experienced data scientists, researchers, and software engineers to design, build, and deploy scalable ML models that drive impactful products.
The ideal candidate will combine strong technical foundations with creativity, curiosity, and a willingness to learn in a fast-paced environment.
Key Responsibilities
- Research, develop, and implement machine learning models for real-world applications.
- Collaborate with cross-functional teams to integrate ML solutions into production systems.
- Conduct data preprocessing, feature engineering, and model evaluation using modern frameworks.
- Contribute to experimentation, prototyping, and optimization of AI algorithms.
- Stay up to date with the latest developments in ML/AI research and apply innovative techniques to product challenges.
Requirements
- Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related technical field.
- Strong understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.).
- Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Proficiency in Python and familiarity with common data science libraries (NumPy, pandas, etc.).
- Solid grasp of statistics, linear algebra, and probability.
- Excellent problem-solving skills and ability to communicate complex ideas clearly.
Desirable Skills
- Experience with deep learning architectures (CNNs, RNNs, Transformers).
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Exposure to MLOps tools or pipeline automation.
- Previous internship or research experience in a related field.
What’s on Offer
- Competitive graduate salary and benefits package.
- A collaborative, learning-focused environment.
- Opportunity to work with cutting-edge technologies and real-world AI applications.
- Fast career progression in a rapidly growing start-up.
- Mentorship from industry-leading engineers and researchers.
Graduate Machine Learning Engineer in Kettering employer: Intellect Group
Intellect Group is an exceptional employer for aspiring Graduate Machine Learning Engineers, offering a vibrant and collaborative work culture in Northampton. With a competitive salary and a strong focus on employee growth, you will have the opportunity to work alongside industry-leading professionals while engaging with cutting-edge technologies that are shaping the future of AI. The hybrid work model further enhances flexibility, making it an ideal environment for those eager to learn and contribute to impactful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Machine Learning Engineer in Kettering
✨Tip Number 1
Network like a pro! Reach out to professionals in the machine learning field on LinkedIn or at local meetups. Engaging with industry experts can open doors and give you insights that might just land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML models. Having tangible examples of your work can really impress potential employers and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML interview questions and coding challenges to boost your confidence and performance during the actual interview.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate graduates like you. Keep an eye on our job listings and make sure to submit your application directly for the best chance at landing that role.
We think you need these skills to ace Graduate Machine Learning Engineer in Kettering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Graduate Machine Learning Engineer role. Highlight relevant projects, skills, and experiences that align with the job description. We want to see how your background fits into our innovative team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for machine learning and AI, and explain why you’re excited about joining our team. Let us know what makes you tick and how you can contribute to our mission.
Showcase Your Projects:If you've worked on any machine learning projects, be sure to include them in your application. Whether it's a personal project or something from your studies, we love seeing practical applications of your skills and creativity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen to join our dynamic team at StudySmarter!
How to prepare for a job interview at Intellect Group
✨Know Your ML Basics
Make sure you brush up on core machine learning concepts like supervised and unsupervised learning, neural networks, and NLP. Being able to explain these clearly will show your understanding and passion for the field.
✨Showcase Your Projects
Prepare to discuss any relevant projects or internships you've worked on. Highlight your hands-on experience with frameworks like TensorFlow or PyTorch, and be ready to explain your thought process and the impact of your work.
✨Ask Smart Questions
Come prepared with insightful questions about the company's AI challenges and their tech stack. This not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Demonstrate Problem-Solving Skills
Be ready to tackle a technical problem during the interview. Practice explaining your approach to solving complex issues clearly and logically, as this will showcase your analytical skills and creativity.
