At a Glance
- Tasks: Lead the development of AI solutions and design machine learning models for retail clients.
- Company: The University of Bath, collaborating with The Tapestry Agency.
- Benefits: Starting salary from £43,000, extensive training, and hybrid work options.
- Other info: 29-month position with excellent career development opportunities.
- Why this job: Make a real impact in retail with cutting-edge AI technology.
- Qualifications: Relevant degree and experience in machine learning and data analytics.
The predicted salary is between 43000 - 43000 € per year.
The University of Bath is seeking a Machine Learning Engineer (KTP Associate) to lead the development of AI solutions for The Tapestry Agency. This role involves designing machine learning models and collaborating with various stakeholders to deliver impactful insights for retail clients.
This 29-month hybrid position offers a starting salary from £43,000, along with extensive training and development opportunities. Ideal candidates will have a relevant degree and experience in machine learning and data analytics.
Lead ML Engineer — End-to-End Retail AI for SaaS (KTP) in Bath employer: University of Bath
The University of Bath offers an exceptional work environment for the Lead ML Engineer role, combining academic excellence with practical application in the retail sector. Employees benefit from a competitive salary, extensive training programmes, and a collaborative culture that fosters innovation and professional growth. Located in a vibrant city, this position not only provides meaningful work but also the chance to make a significant impact on retail AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead ML Engineer — End-to-End Retail AI for SaaS (KTP) in Bath
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to machine learning. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we often have exclusive roles listed that you won’t find anywhere else.
We think you need these skills to ace Lead ML Engineer — End-to-End Retail AI for SaaS (KTP) in Bath
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience in machine learning and data analytics. We want to see how your skills can lead the development of AI solutions, so don’t hold back!
Tailor Your Application:Customise your CV and cover letter to reflect the job description. Mention specific projects or experiences that align with the role at The Tapestry Agency. It shows us you’re genuinely interested!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’re a great fit!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at University of Bath
✨Know Your ML Models
Make sure you brush up on your machine learning models and algorithms. Be ready to discuss how you've applied them in past projects, especially in a retail context. This will show that you not only understand the theory but can also implement it effectively.
✨Showcase Collaboration Skills
Since this role involves working with various stakeholders, prepare examples of how you've successfully collaborated in previous roles. Highlight any cross-functional projects where you’ve had to communicate complex technical concepts to non-technical team members.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you've faced in machine learning projects and how you overcame them. This will demonstrate your critical thinking and adaptability.
✨Research The Tapestry Agency
Familiarise yourself with The Tapestry Agency and their work in retail AI. Understanding their business model and recent projects will help you tailor your responses and show genuine interest in the role and the company.
