At a Glance
- Tasks: Join client projects and develop skills in AI, ML, and cloud software engineering.
- Company: Reply, a forward-thinking tech company committed to diversity and innovation.
- Benefits: Extensive training, certifications, and hands-on experience with expert consultants.
- Other info: Exciting opportunities for growth in a dynamic and inclusive environment.
- Why this job: Kickstart your career in tech with a structured programme and real-world impact.
- Qualifications: Bachelor's degree in a technology-related field required.
The predicted salary is between 28000 - 38000 € per year.
Reply is offering a Graduate Academy position in Manchester for 2026, focusing on Artificial Intelligence, Machine Learning, and Software Engineering. Candidates will receive extensive training in cloud services, gain certifications including AWS and HashiCorp, and work alongside expert consultants. This structured programme is geared towards those with a Bachelor's degree in a technology-related field. The role includes responsibilities in client projects across various sectors, with a commitment to diversity and equal opportunities.
Graduate AI/ML & Cloud Software Engineer in Manchester employer: Reply
Reply is an exceptional employer that prioritises the growth and development of its employees through a comprehensive Graduate Academy programme in Manchester. With a strong focus on Artificial Intelligence, Machine Learning, and Software Engineering, employees benefit from extensive training, industry-recognised certifications, and the opportunity to collaborate with seasoned professionals in a diverse and inclusive work environment. This commitment to employee advancement and a supportive culture makes Reply a standout choice for those seeking a meaningful career in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI/ML & Cloud Software Engineer in Manchester
✨Tip Number 1
Network like a pro! Connect with professionals in AI, ML, and cloud services on LinkedIn. Join relevant groups and engage in discussions to get your name out there.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Practice coding challenges and be ready to discuss your projects. We want to see your passion for technology!
✨Tip Number 3
Showcase your skills through personal projects or contributions to open-source. This not only demonstrates your abilities but also gives you something tangible to talk about during interviews.
✨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 Graduate AI/ML & Cloud Software Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant skills and experiences in AI, ML, and software engineering. We want to see how your background aligns with the role, so don’t be shy about showcasing your tech-related degree and any projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for technology and why you’re excited about the Graduate Academy. We love seeing candidates who are genuinely interested in AI and cloud services, so let your enthusiasm show!
Showcase Your Projects:If you've worked on any relevant projects, whether in university or on your own, make sure to mention them. We’re keen to see practical applications of your skills, so include links or descriptions that demonstrate your hands-on experience.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our official channels!
How to prepare for a job interview at Reply
✨Know Your Tech
Make sure you brush up on your knowledge of AI, ML, and cloud services. Familiarise yourself with the latest trends and technologies in these areas, as well as any relevant certifications like AWS and HashiCorp. This will show your passion and readiness for the role.
✨Showcase Your Projects
Prepare to discuss any projects you've worked on during your studies or internships that relate to software engineering or AI/ML. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This practical experience can really set you apart.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare some thoughtful questions about the Graduate Academy programme, the team you'll be working with, and the types of client projects you might encounter. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
✨Embrace Diversity
Since the role emphasises diversity and equal opportunities, be prepared to discuss how you value different perspectives and experiences. Share examples of how you've worked in diverse teams or how you approach collaboration with people from various backgrounds.
