At a Glance
- Tasks: Design and deliver AI solutions that enhance customer experiences and drive data-driven decisions.
- Company: Join Collibra's innovative AI team in a collaborative, hybrid work environment.
- Benefits: Flexible benefits, competitive pay, health coverage, and generous time off.
- Why this job: Work with cutting-edge AI tech and make a real impact on data engagement.
- Qualifications: 5+ years in AI/ML projects, strong Python skills, and experience with SQL databases.
- Other info: Dynamic role with opportunities for mentorship and career growth.
The predicted salary is between 48000 - 72000 £ per year.
Joining Collibra’s Artificial Intelligence team. We are looking for an experienced AI Engineer who will design and deliver Artificial Intelligence solutions that improve our customers' experience and enable informed, data-driven decision making. We seek someone excited about working with cutting-edge technologies to build pragmatic, performant AI solutions. You'll collaborate with a team of outstanding builders around the world, characterised by a love for innovative technology, a desire to solve problems, and a continuous pursuit of building simple, elegant products that delight customers and simplify all levels of data engagement. You will work primarily with Data Scientists, other AI Engineers, and Machine Learning Operations Engineers, as well as teams across Collibra. This is a hybrid role based in our London office. Our hybrid model means you’ll work from the office at least two days each week. This setup helps us stay connected, work more closely together, and keep making progress as a team.
AI Engineers at Collibra are responsible for:
- Monitoring of the larger AI/ML landscape, including emerging techniques and current state-of-the-art approaches
- Transforming prototypes into pragmatic, production-ready solutions which solve impactful business problems
- Creating, operationalizing, and supporting AI/ML models and visualizations to power actionable value and insights
- Evaluating algorithmic results for quality, adaptability, and efficiency
- Contributing to evolving our platforms for Artificial Intelligence and Machine Learning capabilities in support of Collibra’s data products
- Collaborating with cross-functional teams and mentoring junior engineers on AI best practices
You Have:
- 5+ years of experience delivering production-grade AI/ML projects related to business functions, incorporating advanced techniques (e.g., LLM-based applications, RAG systems, NLP, neural networks, recommendation engines)
- Experience with SQL and relational databases, query authoring as well as working familiarity with a variety of databases (e.g., time series, graph, vector)
- Built and deployed production code in Python with associated AI modules (LangChain, LangGraph, Pandas, Numpy, Tensorflow, etc.)
- Experience with model evaluation, testing frameworks, and validation methodologies
- You must have work authorization to work in London, UK
- A bachelor’s degree or equivalent related working experience is required
You Are:
- Deeply technical, driven, and analytical about the insights data can deliver
- Able to cut through hype and noise to identify foundational problems and build maintainable, performant solutions
- Passionate about the mathematical principles powering the Generative AI revolution and how to drive sustainable value from LLMs and other GenAI technologies
- Experienced supporting diverse stakeholders and working with cross-functional teams in dynamic environments
- A clear communicator who can explain complex technical concepts to both technical and non-technical audiences
- Product-minded with empathy for end users—you consider how people will actually interact with AI features, not just technical sophistication
- Eager to both learn from others and share knowledge; AI is evolving rapidly and no one has all the answers
Reporting to Collibra’s Senior Manager of AI Engineering, measures of success are:
- Within your first month, familiarise yourself with the existing data platform and data products by diving into the architecture, existing products, and the Collibra platform ecosystem
- Within your third month, you will start to deliver new AI/ML features into our SaaS platform
- Within your sixth month, you will operationalize AI products into production environments and contribute to our AI roadmap
Collibra recognizes and values that everyone has different needs, interests, and life goals. We built our benefits program with flexibility in mind to support you and your loved ones through a diverse range of circumstances and life events. These flexible offerings sit on a foundation of competitive compensation, health coverage, and time off. Learn more about Collibra’s benefits.
We create inclusion and belonging through how we onboard, meet, connect, engage, and communicate. Learn more about diversity, equity, and inclusion at Collibra.
At Collibra, we’re proud to be an equal opportunity employer. We realise the key to creating a company with a world-class culture and employee experience comes from who we hire and creating a workplace that celebrates everyone.
With this, we proudly consider qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, pregnancy, sex, gender identity, gender expression, genetic information, physical or mental disability, HIV status, registered domestic partner status, caregiver status, marital status, veteran or military status, citizenship status or any other legally protected category. If you have a need that requires accommodation, let us know by completing our Accommodations for Applicants form.
Senior AI Engineer in London employer: Collibra
Contact Detail:
Collibra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Collibra on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Senior AI Engineer role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for technical interviews by brushing up on your AI/ML knowledge. Dive into recent advancements in the field, especially around LLMs and neural networks. Being able to discuss these topics confidently will show you're not just technically savvy but also genuinely passionate about the work.
✨Tip Number 3
Showcase your projects! If you've built or deployed any AI solutions, be ready to discuss them in detail. Highlight the challenges you faced, how you overcame them, and the impact your work had. This is your chance to shine and demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the team at Collibra. Let’s get you that interview!
We think you need these skills to ace Senior AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight your experience with AI/ML projects and any relevant technologies you've worked with. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific examples of AI solutions you've designed or delivered. Whether it's a project involving LLMs or neural networks, we love seeing real-world applications of your work. This helps us understand your hands-on experience!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences. Remember, we appreciate clarity just as much as complexity in your work!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Collibra
✨Know Your AI Stuff
Make sure you brush up on the latest AI/ML techniques and tools mentioned in the job description. Be ready to discuss your experience with LLMs, NLP, and any relevant frameworks like TensorFlow or Pandas. Showing that you're up-to-date will impress the interviewers!
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've transformed prototypes into production-ready solutions. Think about specific business problems you've solved using AI and be ready to explain your thought process. This will demonstrate your ability to deliver impactful results.
✨Collaboration is Key
Since this role involves working with cross-functional teams, be prepared to talk about your experience collaborating with Data Scientists and other engineers. Highlight any mentoring you've done, as well as how you communicate complex ideas to non-technical stakeholders.
✨Get Familiar with Collibra
Before the interview, take some time to understand Collibra’s data platform and products. Knowing their ecosystem will not only help you answer questions more effectively but also show your genuine interest in the company and its mission.