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- Tasks: Lead improvements on a live AI platform and design scalable data pipelines.
- Company: Join a people-first digital consultancy making waves in AI-driven products.
- Benefits: Competitive pay, hybrid work model, and potential for contract extension.
- Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Strong Python and AWS skills, plus experience in AI/ML systems.
Length: 3 months initially (extension is likely)
Start Date: ASAP
Location: London, Hybrid (1 day per week)
Pay Rate / Determination: £525-575 p/d | Outside IR35
About: Opus is supporting a UK-based digital consultancy partnering with organisations to design, build and scale high-impact digital and AI-driven products, with a strong people-first culture.
The role: A hands-on Principal AI / Data Engineer contract to assess, shape and deliver improvements to a live AI platform across two critical workstreams.
You'll be responsible for:
- Assessing the current AI and data platform and define clear, actionable improvements
- Lead on delivery across two workstreams, aligning product, data and engineering
- Improving the natural language data exploration platform, focusing on trust and semantic consistency
- Designing and implementing scalable, multi-source data pipelines and architecture
About you:
- Strong experience with Python and AWS
- Deep knowledge of data pipelines, AI/ML systems and modelling
- Experience with LLM- or NLP-powered platforms
- Strong focus on scalable, reliable system design
Please apply now and reach out to Adam at Opus for more information.
Principle AI Data Engineer (contract) in London employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principle AI Data Engineer (contract) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and data engineering space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and AI/ML systems. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and NLP platforms. Practice explaining your thought process clearly and confidently, as communication is key in this field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for talented individuals like you to join our team and make an impact in the digital consultancy world.
We think you need these skills to ace Principle AI Data Engineer (contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal AI Data Engineer role. Highlight your experience with Python, AWS, and any relevant projects you've worked on that showcase your skills in AI/ML systems and data pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description and show your passion for AI-driven products.
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them in your application. Whether it's improving a data platform or designing scalable architectures, we want to see what you've done!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your Python and AWS skills before the interview. Be ready to discuss specific projects where you've designed scalable data pipelines or worked with AI/ML systems. The more detailed examples you can provide, the better!
✨Understand the Company Culture
Since the role is with a people-first digital consultancy, it’s crucial to show that you align with their values. Research their approach to teamwork and innovation, and be prepared to share how you’ve contributed to a positive team environment in your past roles.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about natural language processing and data architecture. Practise explaining complex concepts in simple terms, as this will demonstrate your expertise and ability to communicate effectively with non-technical stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss challenges you've faced in previous projects, especially related to AI platforms. Highlight how you assessed issues and implemented improvements, focusing on your analytical thinking and decision-making process.