At a Glance
- Tasks: Merge advanced AI techniques with data to optimise decisions and automate processes.
- Company: Join Nationwide's innovative AI Centre of Excellence team.
- Benefits: Flexible hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with exciting projects in Machine Learning and Generative AI.
- Why this job: Be at the forefront of AI in financial services and make a real impact.
- Qualifications: Experience in AI/ML and a solid understanding of software engineering.
The predicted salary is between 59400 - 72600 £ per year.
As an AI/ML Engineer within the AI Centre of Excellence (Co E) team, you will be at the cutting edge of merging advanced AI techniques with Nationwide’s distinctive data assets to optimise business decisions and automate processes.
This role offers the chance to expand the frontiers of AI applications in financial services by leveraging the latest innovations in Natural Language Processing and statistical machine learning.
You will be instrumental in creating products that enhance efficiency, aid experts in prioritizing tasks and improve decision-making.
Our growing suite of AI-powered products and services presents substantial opportunities for the reuse of foundational components through thoughtfully designed libraries and services that can be applied team-wide.
This position uniquely blends scientific research with software engineering, requiring a comprehensive understanding of both domains.
You will have the opportunity to work on a variety of projects spanning across Machine learning and Generative AI.
We are happy to consider flexible working approaches to help you perform at your best.
At Nationwide we offer hybrid working wherever possible.
More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working.
We value our time in the office to solve problems, to learn, and to feel connected.
For this job you\'ll spend at least two days per week, or if part time you\'ll spend 40% of your working time, based at either our
Swindon or London office. If your application is successful, your hiring manager will provide further details on how this works. You can also find out more about our approach to hybrid working here.
Nationwide is committed to the redeployment of our employees impacted by change, as such applications for redeployment candidates will be prioritised in this recruitment process.
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E3 Engineer - Data and AI Engineering in London employer: Nationwide
At Virgin Money, we pride ourselves on being an exceptional employer, offering a supportive and dynamic work environment in Cleckheaton. Our commitment to employee growth is evident through ongoing training and development opportunities, alongside a competitive benefits package that includes generous holiday allowances, health and wellness resources, and a strong pension plan. Join us to be part of a team that values customer care and community impact, where your contributions are recognised and celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land E3 Engineer - Data and AI Engineering in London
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We think you need these skills to ace E3 Engineer - Data and AI Engineering in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Nationwide. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
