At a Glance
- Tasks: Enhance research in AI/ML and explore innovative areas like reinforcement learning and deep learning.
- Company: Join the prestigious University of Manchester, a leader in AI research.
- Benefits: Competitive salary, academic environment, and opportunities for impactful research.
- Other info: Be part of a vibrant academic community with excellent career advancement potential.
- Why this job: Shape the future of AI while working with top researchers in a dynamic setting.
- Qualifications: PhD or equivalent experience in AI/ML with a strong publication record.
The predicted salary is between 47389 - 71566 £ per year.
The University of Manchester is recruiting a Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning to enhance its research capabilities in AI and Machine Learning.
Location: United Kingdom
Deadline: 2026-09-24
Base Salary: £47,389-£71,566
The University of Manchester is seeking a Lecturer or Senior Lecturer in Artificial Intelligence/Machine Learning to strengthen the department’s AI & Machine Learning research.
Open research areas include:
- causal modelling
- reinforcement learning
- game theory
- AI for Science
- human-in-the-loop AI
- foundation models
- deep learning
- developmental robotics
Applicants require a PhD (or equivalent industrial experience) and a strong publication record in top AI/ML venues.
Lecturer in AI/ML employer: ML Scientist
The Alan Turing Institute is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the field of AI research. Located in the heart of the UK, employees benefit from access to world-class resources and a vibrant community of experts, alongside ample opportunities for professional growth and development. Join us to lead transformative projects that make a real impact on society while working with a passionate team dedicated to advancing knowledge in physical systems.
StudySmarter Expert Advice🤫
We think this is how you could land Lecturer in AI/ML
✨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 ML Scientist!
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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 ML Scientist.
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We think you need these skills to ace Lecturer in AI/ML
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 ML Scientist, 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 ML Scientist. 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 ML Scientist
✨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 ML Scientist!
✨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.
