At a Glance
- Tasks: Design and develop cutting-edge AI applications and systems.
- Company: Award-winning organisation at the forefront of AI innovation.
- Benefits: Competitive salary, bonus, pension, private healthcare, and hybrid working.
- Other info: Great career progression opportunities in a dynamic AI environment.
- Why this job: Join exciting AI projects and influence the future of technology.
- Qualifications: Experience in Machine Learning, LLMs, and strong Python skills required.
An award-winning and highly innovative organisation is looking to hire a Senior AI Engineer to join a growing AI and Data Science function delivering cutting-edge AI products into production. This is an opportunity to work on genuinely impactful AI initiatives, developing and deploying large-scale AI applications that sit at the heart of the business. You'll be working on modern Generative AI use cases including Retrieval-Augmented Generation (RAG), agentic workflows, conversational AI, recommendation systems and intelligent automation solutions.
Working alongside Data Scientists, Engineers and Product teams, you will take ownership of the full AI lifecycle, from requirements gathering and solution design through to deployment, optimisation and ongoing enhancement.
The Role
- Design and develop production-grade AI applications using both traditional Machine Learning and Generative AI approaches
- Build and deploy RAG systems, LLM-powered applications and agentic workflows
- Develop scalable APIs, microservices and cloud-native AI solutions
- Work closely with business stakeholders to translate requirements into technical solutions
- Deploy and monitor AI solutions within modern cloud environments
- Drive best practice across MLOps, deployment, governance and model lifecycle management
- Collaborate with cross-functional engineering, product and analytics teams
What We're Looking For
- Strong experience delivering Machine Learning solutions into production
- Hands-on experience with LLMs, RAG architectures and agentic AI workflows
- Experience with frameworks such as LangChain, LlamaIndex or similar
- Strong Python development skills
- Experience building APIs and microservices
- Knowledge of Docker, Kubernetes and cloud platforms
- Understanding of MLOps and production deployment practices
- Strong stakeholder management and communication skills
Why Apply?
- Work on some of the most exciting AI projects currently being delivered in industry
- Strong executive sponsorship and investment in AI
- Opportunity to influence the future direction of AI products and platforms
- Hybrid working model
- Excellent benefits package including bonus, pension and private healthcare
- Genuine opportunity for career progression within a growing AI function
Salary: £75,000 - £90,000 + Bonus + Benefits
Location: London (Hybrid - 2 days per week onsite)
Senior Data Scientist (LLMs, RAG, GCP & Agentic Systems) employer: Robert Walters
Join an award-winning organisation at the forefront of AI innovation, where you'll have the opportunity to work on impactful projects that shape the future of technology. With a hybrid working model and a strong focus on employee growth, you will benefit from a comprehensive package that includes bonuses, private healthcare, and a clear path for career advancement within a dynamic team. Experience a collaborative culture that values your contributions and encourages you to drive best practices in AI development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist (LLMs, RAG, GCP & Agentic Systems)
✨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 Robert Walters!
✨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 Data Scientist (LLMs, RAG, GCP & Agentic Systems) at Robert Walters.
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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 Robert Walters.
✨Apply Directly through Our Website
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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 Robert Walters, 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 Robert Walters. 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 Robert Walters
✨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 Robert Walters!
✨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.
