At a Glance
- Tasks: Build and deploy scalable AI/ML models using PyTorch and TensorFlow.
- Company: Join Academy Education Network Ltd, a leader in the UK AI landscape.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic projects in fintech and AI labs with great career advancement potential.
- Why this job: Make an impact in AI while collaborating with top industry players.
- Qualifications: Strong academic background in AI/ML and excellent communication skills.
The predicted salary is between 80000 - 98000 £ per year.
Academy Education Network Ltd is seeking an AI/ML Engineer to build, evaluate, and deploy machine-learning systems. You will work with data preprocessing, model training, and deployment using technologies like PyTorch and TensorFlow. The role involves collaboration with key players in the UK AI landscape, focusing on projects for AI labs and fintechs. Ideal candidates will have strong academic qualifications and be comfortable communicating technical concepts across teams.
AI/ML Engineer: Build & Deploy Scalable Models in London employer: Academy Education Network Ltd
Academy Education Network Ltd is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the thriving UK AI landscape. Employees benefit from continuous professional development opportunities, working alongside industry leaders on impactful projects in AI labs and fintechs, all while enjoying a supportive environment that values communication and teamwork.
Contact Details:
Academy Education Network Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI/ML Engineer: Build & Deploy Scalable Models in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI/ML field on LinkedIn or at local meetups. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving PyTorch and TensorFlow. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of machine learning concepts and algorithms. We recommend practicing coding challenges and mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI/ML Engineer: Build & Deploy Scalable Models in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI/ML technologies like PyTorch and TensorFlow. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and ML, and how you can contribute to our team. Remember, we love seeing candidates who can communicate technical concepts clearly.
Showcase Collaboration Skills:Since this role involves working with various teams, highlight any past experiences where you’ve successfully collaborated on projects. We’re looking for team players who can bridge the gap between technical and non-technical folks!
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 shows you’re keen on joining our awesome team!
How to prepare for a job interview at Academy Education Network Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PyTorch and TensorFlow. Brush up on your knowledge of data preprocessing and model training, as you might be asked to explain your approach or even solve a problem on the spot.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, especially those involving AI and machine learning. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Communicate Clearly
Since the role involves collaboration across teams, practice explaining complex technical concepts in simple terms. You might be asked to present your ideas to non-technical stakeholders, so being able to communicate effectively is key.
✨Research the Company and Its Projects
Familiarise yourself with Academy Education Network Ltd and their work in the AI landscape. Understanding their projects and goals will help you tailor your answers and show genuine interest in the role, making you stand out as a candidate.
