At a Glance
- Tasks: Develop and deploy advanced AI models to solve complex business challenges.
- Company: Join EY, a global leader in shaping the future of work.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make a real impact with cutting-edge AI technology in diverse industries.
- Qualifications: Proven experience in AI/ML and strong problem-solving skills.
- Other info: Collaborative environment with endless career advancement possibilities.
The predicted salary is between 48000 - 72000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
Location: Manchester
Position Overview
We are seeking a highly skilled AI Engineer with proven expertise in developing and deploying advanced machine learning and large language model (LLM) solutions that drive measurable business impact. This role requires hands-on experience building AI models and automation pathways across diverse use cases including finance forecasting, energy optimization, predictive maintenance, supply-chain planning, and commercial transformation, leveraging modern cloud-based AI platforms.
- Develop and deploy end-to-end machine learning models for complex business problems across forecasting, optimization, and prediction domains.
- Build and fine-tune large language models (LLMs) for enterprise applications including document intelligence, conversational AI, and decision support systems.
- Deep understanding of solving data science and AI enabled problems in supply chain, finance, commercial or operations domain or AI agents with reasoning capabilities using LLMs.
- Adapt to a wide range of technical challenges across technologies to design a solution applicable to the business issue.
- Translate business requirements into technical AI/ML features, model selection, architecture decisions.
- Conduct exploratory data analysis and communicate insights.
- Collaborate with data engineers, architects, and business analysts on integrated solutions.
- Build feature engineering pipelines and automated data preparation workflows.
- Design AI solutions for commercial transformation including pricing optimization, customer segmentation, and revenue management.
- Develop scalable AI/ML pipelines on Databricks, Azure Machine Learning, and/or Snowflake platforms.
- Contribute to proposals and technical assessments for new opportunities and internal knowledge.
Senior Consultant, AI Engineer, TC, UKI in Manchester employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Consultant, AI Engineer, TC, UKI in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former EY employees on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your AI projects, especially those involving machine learning and LLMs. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and understanding of AI concepts. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨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, it shows you’re genuinely interested in joining the EY team.
We think you need these skills to ace Senior Consultant, AI Engineer, TC, UKI in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Consultant, AI Engineer role. Highlight your experience with machine learning and large language models, and don’t forget to mention any relevant projects that showcase your skills in finance forecasting or predictive maintenance.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background aligns with EY’s mission to build a better working world. Be specific about how you can contribute to their diverse teams.
Showcase Your Technical Skills: In your application, be sure to highlight your hands-on experience with cloud-based AI platforms like Databricks or Azure Machine Learning. Mention any specific tools or technologies you've used to develop and deploy AI solutions, as this will catch our eye!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning and large language models. Be ready to discuss specific projects you've worked on, especially those that had a measurable impact. This will show your hands-on experience and expertise in the field.
✨Understand the Business Context
It's crucial to connect your technical skills with business outcomes. Prepare examples of how your AI solutions have solved real-world problems in areas like finance or supply chain. This will demonstrate your ability to translate business requirements into effective AI/ML features.
✨Collaborate Like a Pro
Since this role involves working with diverse teams, be prepared to talk about your collaboration experiences. Share instances where you worked with data engineers or business analysts to create integrated solutions. Highlighting your teamwork skills can set you apart.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think through how you would approach complex business problems using AI. This will not only showcase your technical prowess but also your critical thinking and adaptability in solving challenges.