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- Tasks: Join a dynamic team to develop AI solutions and work on real-world projects.
- Company: FryerMiles is a cutting-edge AI company focused on research and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and hands-on experience.
- Why this job: Kick-start your career in machine learning with a supportive and innovative environment.
- Qualifications: Recent MSc/MEng graduates with skills in Python, PyTorch, and cloud technologies are welcome.
- Other info: Opportunity to contribute to a major platform launch in 2026.
The predicted salary is between 21600 - 36000 £ per year.
FryerMiles are delighted to be working with a research-led AI company to assist with their recruitment of a Graduate Machine Learning Engineer. This is a great chance to kick-start your career in machine learning with a team that's pushing the boundaries of AI innovation. You'll be working full-time from their Loughborough office, getting hands-on experience with real-world projects, learning from experienced colleagues, and helping to support and build enterprise-level AI solutions.
Specific responsibilities include:
- Translate cutting-edge ML and optimisation research into working prototypes
- Build PoCs and internal tools using Python (PyTorch), REST APIs, and modern front-end frameworks
- Support real-world client and partner projects in digital transformation and agentic workflows
- Develop and benchmark optimisation algorithms for scalable deployment
- Contribute to a 2026 platform launch grounded in operational research and AI
Experience/Qualification:
- You're a recent MSc/MEng graduate (or equivalent) in ML writing clean code, and building end-to-end systems
- Experience with PyTorch, Python, Git, and basic cloud/devops
- Familiarity with LLMs, agentic systems, or optimisation libraries (Gurobi, OR-Tools)
Graduate Machine Learning Engineer - Loughborough, England employer: FryerMiles
Contact Detail:
FryerMiles Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate Machine Learning Engineer - Loughborough, England
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI. Follow relevant blogs, podcasts, and research papers to stay updated on cutting-edge technologies and methodologies that are being used in the industry.
✨Tip Number 2
Engage with the machine learning community by attending meetups, webinars, or conferences. Networking with professionals in the field can provide valuable insights and potentially lead to job opportunities.
✨Tip Number 3
Work on personal projects that showcase your skills in Python and PyTorch. Building a portfolio of projects that demonstrate your ability to create working prototypes will make you stand out to potential employers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions. Familiarise yourself with common machine learning concepts and be ready to discuss your previous projects and experiences in detail.
We think you need these skills to ace Graduate Machine Learning Engineer - Loughborough, England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to machine learning, Python, and any projects you've worked on using PyTorch. Emphasise your academic achievements and any practical experience that aligns with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and machine learning. Mention specific projects or coursework that demonstrate your ability to translate research into practical applications. Be sure to express why you want to work with FryerMiles and how you can contribute to their team.
Showcase Relevant Projects: If you have completed any projects during your studies or in your spare time, include them in your application. Describe your role, the technologies used, and the outcomes. This will help illustrate your hands-on experience and problem-solving skills.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which are crucial in the tech industry.
How to prepare for a job interview at FryerMiles
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PyTorch, and any optimisation libraries you've worked with. Bring examples of projects or coursework that demonstrate your ability to write clean code and build end-to-end systems.
✨Understand the Company’s Focus
Research FryerMiles and their work in AI innovation. Familiarise yourself with their projects and how they apply machine learning in real-world scenarios. This will help you tailor your answers and show genuine interest in the role.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and concisely, especially when discussing optimisation algorithms or translating research into prototypes.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the types of projects you'll be working on, and the company’s future goals. This shows your enthusiasm for the position and helps you gauge if it's the right fit for you.
