At a Glance
- Tasks: Lead AI engineering projects and build a top-notch team to deliver enterprise solutions.
- Company: Data Idols, a forward-thinking tech company based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and excellence in AI solutions.
- Why this job: Shape the future of AI delivery and make a significant impact on enterprise clients.
- Qualifications: Proven experience in engineering leadership and a passion for AI technology.
The predicted salary is between 80000 - 100000 £ per year.
Data Idols in London (hybrid) is seeking a Director of Forward Deployed Engineering to build and lead a new AI engineering capability delivering enterprise AI solutions.
You will define standards, deliver scalable delivery frameworks, and engage with senior stakeholders to shape programmes and client outcomes.
You will recruit top engineers, drive technical strategy, and scale an engineering practice across major enterprise clients while shaping architecture and delivery quality.
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Head of Enterprise AI Delivery & Engineering employer: Data Idols
Data Idols is an exceptional employer for those looking to make a significant impact in the tech industry. With a hybrid work model in vibrant London, employees enjoy a collaborative culture that fosters innovation and creativity, alongside ample opportunities for professional growth and development. Join us to tackle complex machine learning challenges while being part of a forward-thinking team dedicated to shaping the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Enterprise AI Delivery & Engineering
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of Enterprise AI Delivery & Engineering
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Data Idols, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Data Idols. 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!
How to prepare for a job interview at Data Idols
✨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 a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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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.
