At a Glance
- Tasks: Research and develop innovative Generative AI solutions that impact millions.
- Company: Join a leading UK organisation shaping the future of applied AI.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on creativity and original ideas.
- Why this job: Be at the forefront of AI research and influence real-world applications.
- Qualifications: Experience in deep learning, machine learning, and AI research.
The predicted salary is between 70000 - 90000 £ per year.
Research that doesn't stay in a lab.
We're partnering with one of the UK's most recognised organisations as they build a world-class applied AI research capability.
This isn't a role focused on publishing papers that never leave the whiteboard.
It's an opportunity to shape how millions of people interact with AI through products that solve genuine, real-world problems.
You'll join a newly formed research team exploring the next generation of Generative AI, helping define the technical direction for large-scale customer-facing AI products.
You'll work alongside AI engineers, product leaders and senior stakeholders to turn cutting-edge research into production systems.
If you're someone who enjoys asking "what should we build next?" rather than simply "how do we build this?", we'd love to speak with you.
- What you'll be doing
- Research and evaluate the latest advances in Generative AI and foundation models.
- Design rigorous experiments to determine what genuinely works in production.
• Explore emerging techniques including
- Retrieval-Augmented Generation (RAG)
- Agentic AI
- Lead research into model selection, fine-tuning and evaluation strategies.
- Translate complex customer and business problems into AI research challenges.
- Prototype new AI capabilities alongside engineering and product teams.
- Influence the long-term AI strategy of a major organisation.
- Define quality, safety and evaluation frameworks before solutions reach production.
- Collaborate with engineering teams to productionise research into scalable products.
We're interested in people who combine deep technical expertise with curiosity and commercial thinking.
You'll likely have experience with
- Deep learning and modern machine learning architectures.
- Training, adapting or evaluating foundation models.
- LLMs and Generative AI research.
- Experimental design and statistical evaluation.
- Python and modern ML frameworks.
- Reading and applying the latest AI research.
- Building or influencing production AI systems.
We're open to exceptional candidates from industry or academia, particularly those who enjoy solving difficult research problems with measurable real-world impact.
What makes this different?
This organisation isn't looking for someone to simply implement existing AI techniques.
They're looking for researchers who can
- Identify the next opportunity before everyone else.
- Challenge existing approaches with evidence.
- Influence technical strategy.
- Bring original ideas to the table.
- Help shape AI products that will be used at significant scale.
You'll have the freedom to explore, experiment and influence direction while working closely with experienced engineering and product teams to ensure research delivers tangible value.
Interested?
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Generative AI Research Scientist employer: MBN Solutions
MBN Solutions is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a member of our early-stage startup, you'll enjoy a collaborative culture that fosters creativity and professional growth, alongside opportunities to work on cutting-edge AI technologies that simulate human behaviour. With a focus on employee development and a commitment to work-life balance, we provide a unique platform for you to make a meaningful impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Generative AI Research Scientist
✨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 MBN Solutions!
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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 MBN Solutions.
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We think you need these skills to ace Generative AI Research Scientist
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 MBN Solutions, 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 MBN Solutions. 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 MBN Solutions
✨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 MBN Solutions!
✨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.
