At a Glance
- Tasks: Design and develop cutting-edge AI solutions using Neo4j and Knowledge Graphs.
- Company: Join a leading global investment bank shaping the future of enterprise AI.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with top professionals in a newly formed AI team.
- Why this job: Be at the forefront of AI innovation and tackle complex data challenges.
- Qualifications: Strong experience with Neo4j, Python, and cloud platforms required.
The predicted salary is between 70000 - 90000 £ per year.
A leading global investment bank is building a new AI Engineering function and is seeking an experienced Neo4j specialist to help shape the next generation of enterprise AI solutions. This is a rare opportunity to join a newly formed team focused on applying cutting-edge AI, Knowledge Graphs, and GraphRAG architectures to some of the most complex data and information challenges within financial services.
Working alongside AI Engineers, Data Scientists, Architects, and senior business stakeholders, you will play a key role in designing and delivering graph-powered AI solutions that enable more accurate retrieval, reasoning, discovery, and decision-making across the organisation.
What You'll Be Doing
- Design and develop enterprise Knowledge Graph solutions using Neo4j
- Build GraphRAG and Retrieval-Augmented Generation (RAG) architectures for LLM-powered applications
- Model complex business, client, market, and operational data using graph technologies
- Integrate Neo4j with Generative AI platforms, vector databases, and large language models
- Develop graph analytics, entity resolution, relationship mapping, and semantic search capabilities
- Collaborate with AI, Data Engineering, and Enterprise Architecture teams on strategic AI initiatives
- Help define best practices, standards, and technical direction for graph-based AI solutions
What We're Looking For
- Strong commercial experience with Neo4j and graph database technologies
- Experience designing and implementing Knowledge Graph solutions at scale
- Understanding of GraphRAG, RAG architectures, semantic search, or LLM-powered systems
- Strong Python development skills
- Experience working with cloud platforms and modern data architectures
- Knowledge of machine learning, NLP, Generative AI, or AI engineering practices
- Excellent stakeholder management and communication skills
If you're passionate about Neo4j, Knowledge Graphs, GraphRAG, and enterprise AI, we'd love to hear from you.
Senior AI Engineer (Neo4j / Knowledge Graphs) - Global Investment Bank in Slough employer: GL Global
Join a leading global investment bank that is at the forefront of innovation in AI engineering. With a strong commitment to employee growth, you will have the opportunity to work with cutting-edge technologies in a collaborative environment that values creativity and strategic thinking. Enjoy competitive benefits and the chance to shape the future of enterprise AI solutions while working alongside industry experts in a dynamic and supportive culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Neo4j / Knowledge Graphs) - Global Investment Bank in Slough
✨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 GL Global!
✨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 (Neo4j / Knowledge Graphs) - Global Investment Bank at GL Global.
✨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 GL Global.
✨Apply Directly through Our Website
When you find a suitable opening like Senior AI Engineer (Neo4j / Knowledge Graphs) - Global Investment Bank at GL Global, 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 (Neo4j / Knowledge Graphs) - Global Investment Bank in Slough
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 GL Global, 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 GL Global. 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 GL Global
✨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 GL Global!
✨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.
