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For Companies At a Glance
- Tasks: Dive into AI innovation, training models, and solving complex problems.
- Company: Join a forward-thinking telecommunications company transforming the tech landscape.
- Benefits: Enjoy competitive pay, health perks, remote work options, and growth opportunities.
- Why this job: Make a real-world impact with cutting-edge AI technology.
- Qualifications: Experience with ML frameworks and cloud platforms is a plus.
- Other info: Be part of a dynamic team with exciting career advancement potential.
The predicted salary is between 30000 - 50000 £ per year.
Are you ready to get stuck into real innovation, push boundaries, and work with tech that’s transforming how we understand the world around us? Whether you’re a recent graduate eager to make your mark or a seasoned engineer looking for your next challenge, this role gives you the space, ownership, and impact you’re looking for.
What you’ll do as the AI Software Engineer:
- Preparing, cleaning, and augmenting datasets for high‑quality model training
- Training, fine‑tuning, and evaluating AI models including agentic workflows and feedback loops
- Applying ML/DL techniques (classification, regression, feature extraction) to solve complex wireless testing problems
- Building semantic search and root‑cause analysis capabilities for mobile communication logs
- Benchmarking and optimising AI model performance
- Supporting cloud‑based infrastructure setups and CI/CD automation
- Developing clean, intuitive web interfaces to visualise AI functionality
What you’ll bring as the AI Software Engineer:
- Experience with ML frameworks (TensorFlow, PyTorch) and data‑processing tools
- Understanding of cloud platforms (Azure is ideal) and CI/CD pipelines
- Familiarity with MLOps/DevOps concepts
If you’re ambitious, curious, and ready to build real‑world AI that makes a tangible impact let’s talk.
AI Software Engineer in Fleet employer: Octagon Group
Contact Detail:
Octagon Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer in Fleet
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow tech enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML frameworks like TensorFlow or PyTorch. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your experience with cloud platforms and CI/CD pipelines. 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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Software Engineer in Fleet
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for AI and how it can transform the world. Share any personal projects or experiences that highlight your interest in machine learning and deep learning.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We want to see how your background aligns with what we’re looking for, so don’t hold back!
Highlight Relevant Experience: Be sure to emphasise any experience you have with ML frameworks like TensorFlow or PyTorch, as well as your understanding of cloud platforms. This will help us see how you can hit the ground running in this role.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Octagon Group
✨Know Your Tech
Make sure you brush up on your knowledge of ML frameworks like TensorFlow and PyTorch. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've applied ML/DL techniques to solve complex problems. Think about specific instances where you had to clean datasets or optimise model performance, and be ready to explain your thought process.
✨Familiarise Yourself with Cloud Platforms
Since understanding cloud platforms is key for this role, make sure you know the basics of Azure and CI/CD pipelines. You might be asked about your experience with cloud-based infrastructure, so have some examples ready.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI projects, team dynamics, and future goals. This shows your genuine interest and helps you assess if the company is the right fit for you.
