At a Glance
- Tasks: Develop and implement cutting-edge AI/ML solutions for real-world applications.
- Company: Join Allstate Northern Ireland, a leader in innovative insurance technology.
- Benefits: Enjoy competitive pay, flexible working options, and a vibrant team culture.
- Why this job: Be part of a dynamic team making a real impact in the tech world.
- Qualifications: 3+ years in AI/ML, strong Python skills, and experience with cloud technologies required.
- Other info: Must have legal right to work in the UK; no sponsorship available.
The predicted salary is between 42000 - 84000 £ per year.
Requirements:
- At least 3 years of experience working on AI/ML projects, specifically in producing AI/ML solutions.
- Strong programming skills in Python and proficiency with ML frameworks such as TensorFlow, PyTorch, or LangChain.
- Proficiency in cloud technologies like Azure or AWS.
- Good working knowledge of Java Spring Boot and ReactJS.
Note: Legal right to work in the UK for employment at Allstate; sponsorship is not available for this vacancy.
Machine Learning Product Engineer in Belfast - Allstate Northern Ireland employer: Java Script Works
Contact Detail:
Java Script Works Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Product Engineer in Belfast - Allstate Northern Ireland
✨Tip Number 1
Make sure to showcase your hands-on experience with AI/ML projects during networking events or meetups. Engaging with professionals in the field can lead to valuable connections and insights about the role.
✨Tip Number 2
Familiarise yourself with the latest trends and advancements in machine learning technologies, especially those related to TensorFlow, PyTorch, and LangChain. This knowledge can help you stand out in conversations with potential employers.
✨Tip Number 3
Consider contributing to open-source projects that utilise cloud technologies like Azure or AWS. This not only enhances your skills but also demonstrates your commitment to the field and can be a great talking point in interviews.
✨Tip Number 4
Join online forums or communities focused on machine learning and product engineering. Engaging in discussions can provide insights into what companies like Allstate are looking for and help you tailor your approach when applying.
We think you need these skills to ace Machine Learning Product Engineer in Belfast - Allstate Northern Ireland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML projects, specifically mentioning any relevant solutions you've produced. Emphasise your programming skills in Python and your familiarity with ML frameworks like TensorFlow or PyTorch.
Showcase Relevant Skills: In your application, clearly outline your proficiency with cloud technologies such as Azure or AWS. Don't forget to mention your knowledge of Java Spring Boot and ReactJS, as these are important for the role.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you're a great fit for the Machine Learning Product Engineer position. Discuss your passion for AI/ML and how your background aligns with Allstate's needs.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is accurate and up-to-date.
How to prepare for a job interview at Java Script Works
✨Showcase Your AI/ML Experience
Be prepared to discuss specific AI/ML projects you've worked on. Highlight your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Demonstrate Programming Proficiency
Since strong programming skills in Python are essential, be ready to talk about your coding experience. You might even be asked to solve a coding problem during the interview, so brush up on your Python skills and be familiar with ML frameworks like TensorFlow or PyTorch.
✨Familiarise Yourself with Cloud Technologies
As cloud technologies like Azure or AWS are part of the job requirements, make sure you understand their functionalities and how they relate to machine learning. Be ready to discuss any projects where you've utilised these platforms.
✨Understand Java Spring Boot and ReactJS
While the focus is on machine learning, having a good working knowledge of Java Spring Boot and ReactJS can set you apart. Prepare to discuss how you've used these technologies in past projects or how you would approach integrating them with ML solutions.