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- Tasks: Design and prototype cutting-edge AI solutions using digital consumer data.
- Company: Join a next-gen consultancy focused on unlocking digital data value.
- Benefits: Enjoy a competitive salary and opportunities for rapid professional growth.
- Why this job: Work on innovative projects with top-tier AI technologies in a collaborative environment.
- Qualifications: Bachelor's degree in relevant fields and 3+ years of Python experience required.
- Other info: This is a hybrid role based in London, perfect for tech enthusiasts!
The predicted salary is between 40000 - 52000 £ per year.
A next-generation insights and analytics consultancy, using advanced technology to help businesses unlock the value of digital consumer data are looking for an AI Engineer to join their team.
What will the role be doing?
- Design and prototype innovative AI and data science solutions using digital consumer data
- Develop models and tools using Python, NLP, and machine learning frameworks
- Explore and integrate state-of-the-art AI from providers like OpenAI, Google, Microsoft, and AWS
- Conduct research on emerging AI/NLP trends and share knowledge with the wider team
- Work on a mix of proof-of-concept and full-scale projects that push technical boundaries
- Collaborate closely with cross-functional teams across data engineering, strategy, and analytics
What we’re looking for?
- Bachelor’s degree or higher in Computer Science, Maths, Statistics, Engineering or similar
- 3+ years’ experience with Python, including strong code design
- Proven experience building, optimising and evaluating AI/NLP models
- Ability to translate business challenges into technical requirements
- Experience working with SQL and data warehousing tools
What’s in it for me?
- Salary of £50,000 - £65,000 dependent on experience
- Join a fast-moving, innovation-driven start-up
- Opportunity for fast professional growth and continuous learning
Apply now for immediate consideration!
AI Engineer (, , United Kingdom) employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (, , United Kingdom)
✨Tip Number 1
Familiarise yourself with the latest AI and NLP trends. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Build a portfolio showcasing your AI projects. Include examples of models you've developed using Python and any innovative solutions you've designed. A strong portfolio can set you apart from other candidates and provide tangible evidence of your skills.
✨Tip Number 3
Network with professionals in the AI and data science community. Attend meetups, webinars, or conferences to connect with others in the field. These connections can lead to valuable insights and potential job referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to AI and machine learning. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and improve your chances of success.
We think you need these skills to ace AI Engineer (, , United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, Python, and data science. Emphasise any projects where you've developed models or tools, especially using NLP or machine learning frameworks.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and how your background aligns with the company's mission. Mention specific technologies or methodologies you’ve worked with that relate to the job description.
Showcase Your Projects: If you have a portfolio of projects or contributions to open-source AI initiatives, include links to these in your application. This demonstrates your hands-on experience and ability to translate business challenges into technical solutions.
Highlight Collaboration Skills: Since the role involves working closely with cross-functional teams, mention any past experiences where you collaborated with different departments. This could be in terms of communication, project management, or joint problem-solving.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, machine learning frameworks, and NLP. Bring examples of projects you've worked on that demonstrate your ability to build and optimise AI models.
✨Understand the Company’s Focus
Research the consultancy's approach to using digital consumer data. Familiarise yourself with their use of advanced technology and be ready to discuss how you can contribute to their innovative projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to translate business challenges into technical solutions. Think of specific examples where you've successfully tackled similar issues in the past.
✨Demonstrate Collaboration Skills
Since the role involves working closely with cross-functional teams, be ready to share experiences where you've collaborated effectively with others. Highlight your communication skills and ability to work in a team environment.
