Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, and potential for contract extension.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Make a real impact on cutting-edge AI projects while working with top talent.
- Qualifications: Expertise in Python, AWS, and experience with AI/ML systems required.
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 will be responsible for:
- Assessing the current AI and data platform and defining clear, actionable improvements
- Leading 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 ...
Principle AI Data Engineer (contract) 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)
✨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. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, AWS, and AI/ML systems. We recommend including case studies that highlight your problem-solving abilities and the impact of your work.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data pipelines and NLP platforms. We suggest doing mock interviews with friends or using online platforms to get comfortable with articulating your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us. Let’s get you that Principal AI Data Engineer role!
We think you need these skills to ace Principle AI Data Engineer (contract)
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 AI/ML projects. We want to see how your skills align with what we're looking for!
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. Share specific examples of your work with data pipelines and NLP platforms to grab our attention.
Showcase Your Projects: If you've worked on any cool projects related to AI or data engineering, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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. Be ready to discuss specific projects where you've implemented data pipelines or worked with AI/ML systems. The more detailed examples you can provide, the better!
✨Understand the Company Culture
Since the company values a people-first culture, think about how you can demonstrate your teamwork and collaboration skills. Prepare anecdotes that showcase your ability to work well with others and contribute positively to a team environment.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions about natural language processing and scalable system design. Brush up on the latest trends in LLMs and NLP platforms, and be ready to explain how you've tackled similar challenges in the past.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready. Inquire about the current challenges they face with their AI platform or how they envision the role evolving. This shows your genuine interest and helps you assess if it's the right fit for you.