At a Glance
- Tasks: Lead the design of scalable data pipelines for AI applications and mentor a growing team.
- Company: Innovative tech organisation focused on AI-driven products and data infrastructure.
- Benefits: Competitive salary, flexible working, and clear progression opportunities.
- Other info: Collaborative culture with high autonomy and technical ownership.
- Why this job: Shape the future of AI products while solving complex data challenges.
- Qualifications: Experience in data platforms, strong SQL skills, and Python development.
The predicted salary is between 125000 - 140000 £ per year.
We're partnering with an innovative technology organisation that is investing heavily in AI-driven products and data infrastructure. As part of their continued growth, they are looking for an experienced AI Data Lead to take ownership of the data foundations that power modern AI applications. This is an exciting opportunity for a hands-on technical leader who enjoys solving complex data challenges while mentoring and developing a growing team.
The Opportunity
As AI Data Lead, you'll be responsible for designing and delivering scalable data pipelines and retrieval infrastructure that support advanced AI solutions. You'll work across document processing, data ingestion, vector search, embeddings, and retrieval architectures to ensure high-quality data is available for AI-powered applications. This role combines technical leadership with hands-on engineering, making it ideal for someone who enjoys both building solutions and guiding a team.
Key Responsibilities
- Lead the design and development of data ingestion and processing pipelines for structured and unstructured content.
- Build and optimise retrieval systems, embeddings workflows, and vector search infrastructure.
- Develop robust parsing and extraction solutions for a variety of document formats.
- Establish data quality, governance, versioning, and monitoring standards.
- Design scalable data models and database architectures to support AI applications.
- Collaborate with engineering and product teams to improve data accessibility and performance.
- Mentor and support a team of data-focused engineers, driving best practices and technical excellence.
- Contribute to architectural decisions and long-term platform strategy.
What We're Looking For
- Proven experience delivering production-grade data platforms and retrieval systems.
- Strong expertise with vector databases such as Qdrant, Pinecone, Weaviate, pgvector, or similar technologies.
- Experience designing embedding pipelines and retrieval-augmented architectures.
- Strong SQL and database design skills.
- Excellent Python development experience.
- Experience processing and extracting data from complex document formats.
- Familiarity with cloud platforms (Azure, AWS, or GCP).
- Understanding of containerisation, CI/CD, and modern engineering practices.
- Previous experience leading, mentoring, or managing technical teams.
- A pragmatic, delivery-focused mindset with a passion for solving real-world problems.
Desirable Experience
- Full-text search technologies such as Elasticsearch or OpenSearch.
- NLP, information retrieval, or document intelligence solutions.
- Event-driven architectures and messaging platforms.
- Experience working within highly regulated or data-intensive environments.
- Contributions to open-source projects or technical communities.
What's on Offer
- Opportunity to shape the future direction of AI-enabled products.
- High level of autonomy and technical ownership.
- Collaborative and forward-thinking engineering culture.
- Flexible working arrangements.
- Competitive salary and benefits package.
- Clear progression opportunities within a growing organisation.
If you're passionate about building scalable AI data platforms and want to make a significant impact within a fast-moving technology environment, we'd love to hear from you.
AI Data Lead employer: DeepRec.ai
Join a pioneering technology organisation that champions innovation and invests in cutting-edge AI-driven products. As an AI Data Lead, you'll thrive in a collaborative and forward-thinking culture that values technical excellence and offers high levels of autonomy. With clear progression opportunities and flexible working arrangements, this role is perfect for those looking to make a meaningful impact while mentoring a talented team in a dynamic remote environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Data Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like DeepRec.ai!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Data Lead at DeepRec.ai.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DeepRec.ai.
✨Apply Directly through Our Website
When you find a suitable opening like AI Data Lead at DeepRec.ai, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AI Data Lead
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 DeepRec.ai, 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 DeepRec.ai. 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 DeepRec.ai
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DeepRec.ai!
✨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.
