At a Glance
- Tasks: Design and develop innovative AI models while tackling challenging machine learning problems.
- Company: Globally recognised tech organisation leading in AI research.
- Benefits: Top market salary, access to large-scale computing resources, and modern AI infrastructure.
- Other info: Join a rapidly growing research organisation investing heavily in AI.
- Why this job: Make a real impact on the future of artificial intelligence with a talented team.
- Qualifications: PhD in relevant fields and strong publication history in top AI conferences.
The predicted salary is between 63000 - 77000 £ per year.
- AI Research Scientist
- London, UK (onsite)
Seeking an AI Research Scientist to join a globally recognised technology organisation at the forefront of AI research.
With significant investment in next-gen AI systems, this research-focused environment brings together world-class scientists, engineers, and researchers to tackle some of the most challenging problems in machine learning today.
As an AI Research Scientist, you'll contribute to cutting-edge research spanning computer vision, large language models, multimodal AI, and generative models.
For ambitious candidates seeking an impactful AI Research Scientist position, this represents a rare opportunity to influence the future of artificial intelligence.
Key Responsibilities
- Design and develop novel AI models and algorithms.
- Conduct research across multiple machine learning domains.
- Build and maintain large-scale datasets and data pipelines.
- Collaborate with research and engineering teams to translate ideas into deployable solutions.
- Evaluate and improve model performance through experimentation and analysis.
- Contribute to research publications, technical reports, and knowledge sharing.
- Required Experience & Skills
- Ph D in Computer Science, AI, Machine Learning, Mathematics, Statistics
- Excellent publications history with research published in at least one of the following; CVPR, ICCV, ECCV, Neur IPS, ICML, ICLR
- Experience in the industry as an AI Research Scientist or similar, working on the full-cycle development of ML algorithms, from design to implementation in Python & Py Torch
- Research expertise in one of the following: large language models ( LLMs ), vision-language models ( VLMs ), multimodal AI, foundation models, or generative AI.
- Solid understanding of transformer-based architectures.
- Experience with model pre-training and fine-tuning.
- Familiarity with distributed training environments and large-scale compute infrastructure.
- Contributions to open-source projects or AI research communities.
Why Apply?
- Receive a top of the market salary
- Work on genuinely challenging AI research problems.
- Collaborate with a highly accomplished team of researchers and engineers.
- Gain access to large-scale computing resources and modern AI infrastructure.
- See research translated into real-world applications.
- Join a rapidly growing research organisation investing heavily in AI.
- Recruiter's Note
Please note to be considered you must be coming from technology companies, research laboratories, AI-focused start-ups, or academia with at least 1.5 years of commercial experience following a Ph D or postdoctoral position, combined with a strong publication record demonstrated by publications and experience developing state-of-the-art AI models.
Apply now or send a copy of your CV, referencing the title and location, and with a short introduction to .
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AI Research Scientist in Slough employer: European Tech Recruit
Join a leading global technology organisation in Edinburgh, where innovation meets collaboration. As an AI Engineer, you'll be part of a dynamic research and development team dedicated to pushing the boundaries of multimodal AI and edge computing. Enjoy a supportive work culture that fosters professional growth, offers competitive benefits, and provides unique opportunities to work on groundbreaking projects that shape the future of intelligent mapping and spatial reasoning systems.
StudySmarter Expert Advice🤫
We think this is how you could land AI Research Scientist in Slough
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We think you need these skills to ace AI Research Scientist 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!
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Craft a Tailored Cover Letter:For a full-time role at European Tech Recruit, 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 European Tech Recruit. 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 European Tech Recruit
✨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!
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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 European Tech Recruit!
✨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.
