At a Glance
- Tasks: Design and implement AI tools for complex client queries and enhance user experience.
- Company: Join Bloomberg, a leader in AI solutions for financial insights.
- Benefits: Competitive salary, professional development, and opportunities to attend industry events.
- Other info: Dynamic team environment with a focus on innovation and career growth.
- Why this job: Make a real impact in the AI field while working with cutting-edge technologies.
- Qualifications: Experience in NLP, Information Retrieval, and Generative AI; strong software engineering skills.
The predicted salary is between 72000 - 88000 £ per year.
Continuous improvement based on real-world user interactions. Designing and implementing tools that enable LLM-powered search agents to effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building robust APIs to facilitate search across diverse collections of data, ensuring highly relevant results and maintaining system stability and reliability.
You will have the opportunity to:
- Collaborate closely with cross-functional teams, including product managers and engineers, to integrate AI solutions into client-facing products, enhance analytical capabilities, and improve user experience.
- Architect, develop, and deploy production-quality search systems powered by LLMs, emphasising both ML innovation and solid software engineering practices.
- Continuously identify areas for improvement within our search systems, proactively experiment with new ideas, and rapidly implement promising solutions—even when improvements rely purely on engineering without direct ML involvement.
- Design, train, test, and iterate on models and algorithms while taking ownership of the entire lifecycle, from idea inception to robust deployment and operationalisation.
- Stay at the forefront of research in IR, NLP, and Generative AI, incorporating relevant innovations into practical, impactful solutions.
- Represent Bloomberg at industry events, scientific conferences, and within open-source communities.
You will need to have:
- Proven practical experience solving real-world problems using NLP, Information Retrieval, Search technologies, and Generative AI technologies.
- Knowledge of search platforms like Apache Solr or Elasticsearch is a plus.
- Significant industry experience or a relevant academic background (such as an MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or Engineering).
- Proficiency in enterprise-grade software engineering practices and principles, including solid fundamentals in data structures, algorithms, and a data-driven problem-solving approach.
- Solid communication skills, with the ability to collaborate effectively with both technical peers and business stakeholders to ensure alignment between technical solutions and client needs.
We value practical ability and a demonstrated track record of delivering impactful results over formal academic qualifications. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
Senior AI Engineer - Generative AI & Search - Artificial Intelligence in Whitehall employer: Bloomberg's Engineering Ai
Bloomberg is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals in the AI field. With a strong focus on employee growth, you will have access to cutting-edge resources and opportunities to advance your skills while contributing to impactful projects in the heart of a vibrant financial hub.
Contact Details:
Bloomberg's Engineering Ai Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer - Generative AI & Search - Artificial Intelligence in Whitehall
✨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 Bloomberg's Engineering 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 Senior AI Engineer - Generative AI & Search - Artificial Intelligence at Bloomberg's Engineering 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 Bloomberg's Engineering Ai.
✨Apply Directly through Our Website
When you find a suitable opening like Senior AI Engineer - Generative AI & Search - Artificial Intelligence at Bloomberg's Engineering 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 Senior AI Engineer - Generative AI & Search - Artificial Intelligence in Whitehall
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 Bloomberg's Engineering 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 Bloomberg's Engineering 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 Bloomberg's Engineering 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 Bloomberg's Engineering 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.
