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- Tasks: Join a top-tier team to tackle complex machine learning challenges and drive innovation.
- Company: A world-leading tech company at the forefront of AI research.
- Benefits: Enjoy hybrid remote work, collaboration opportunities, and the chance to publish your research.
- Why this job: Shape the future of AI while working on impactful projects with a world-class team.
- Qualifications: PhD in a relevant field with strong publication records and expertise in machine learning.
- Other info: Ideal for those eager to push boundaries in machine learning and AI.
The predicted salary is between 48000 - 84000 £ per year.
A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact.
What they’re looking for:
- Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals.
- Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible.
Nice to have experience in:
- Reinforcement learning
- Large Language Models (LLMs)
- Optimisation methods
- Deep learning frameworks (e.g., TensorFlow, PyTorch)
- Applied AI research at scale
What’s on offer:
- Hybrid remote work with offices in Cambridge or London
- The chance to publish and share your work with the broader research community
- Collaborate with a world-class team of researchers and engineers
- Work on high-impact projects with significant reach and visibility
If you’re passionate about advanced machine learning and want to shape the future of AI, this is the opportunity to do it.
Machine Learning Researcher (, , United Kingdom) employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Researcher (, , United Kingdom)
✨Tip Number 1
Network with professionals in the machine learning field, especially those who are already part of elite research teams. Attend conferences, workshops, and meetups to connect with potential colleagues and mentors who can provide insights into the application process.
✨Tip Number 2
Engage with the latest research by reading and contributing to top-tier journals and conferences. This not only keeps you updated on current trends but also demonstrates your commitment and expertise in machine learning, making you a more attractive candidate.
✨Tip Number 3
Showcase your projects and contributions on platforms like GitHub or personal blogs. Highlight any work related to reinforcement learning, LLMs, or deep learning frameworks, as this practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising problem-solving and algorithm development questions specific to machine learning. Familiarise yourself with common frameworks like TensorFlow and PyTorch, as hands-on knowledge will be crucial during the interview process.
We think you need these skills to ace Machine Learning Researcher (, , United Kingdom)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your PhD and any relevant publications. Emphasise your expertise in machine learning algorithms, especially if you have experience with reinforcement learning or large language models.
Craft a Compelling Cover Letter: In your cover letter, express your passion for advanced machine learning and how your background aligns with the company's goals. Mention specific projects or research that demonstrate your ability to push boundaries in AI.
Showcase Relevant Experience: If you have worked with deep learning frameworks like TensorFlow or PyTorch, make sure to include this in your application. Highlight any applied AI research you've conducted at scale, as this is particularly relevant.
Proofread and Edit: Before submitting your application, carefully proofread all documents. Ensure there are no typos or grammatical errors, as attention to detail is crucial in research roles.
How to prepare for a job interview at Oho Group Ltd
✨Showcase Your Research
Be prepared to discuss your previous research in detail, especially any publications you've contributed to. Highlight the impact of your work and how it relates to the role you're applying for.
✨Demonstrate Technical Expertise
Brush up on your knowledge of machine learning algorithms and frameworks like TensorFlow and PyTorch. Be ready to answer technical questions and possibly solve problems on the spot to showcase your skills.
✨Discuss Real-World Applications
Think about how your research can be applied in real-world scenarios. Be ready to discuss examples of how your work has had a tangible impact or how it could be used to solve complex problems.
✨Prepare for Collaborative Questions
Since the role involves working with a world-class team, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals.
