ML Research Engineer (Remote)
ML Research Engineer (Remote)

ML Research Engineer (Remote)

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a world-leading team to tackle complex machine learning challenges.
  • Company: Be part of an elite AI research division in a top tech company.
  • Benefits: Enjoy hybrid remote work and opportunities to publish your research.
  • Why this job: Shape the future of AI while working on high-impact projects.
  • Qualifications: PhD in a relevant field with a strong publication record required.
  • Other info: Candidates should have deep expertise in machine learning algorithm development.

The predicted salary is between 43200 - 72000 £ per year.

Social network you want to login/join with: Machine Learning Research Engineer, London EU work permit required: Research Machine Learning Engineer – World Leading Team – Cambridge / London 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. 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 we’re especially interested in those who thrive in pushing the boundaries of what’s possible. Large Language Models (LLMs) Applied AI research at scale Hybrid remote work with offices in Cambridge or London The chance to publish and share your work with the broader research community 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. #

ML Research Engineer (Remote) employer: OHO Group Ltd.

Join a world-leading tech company that champions innovation and excellence in the field of machine learning. With a hybrid remote work model and offices in both Cambridge and London, you will enjoy a collaborative work culture that fosters creativity and professional growth. This role offers the unique opportunity to engage in high-impact projects, publish your research, and contribute to groundbreaking advancements in AI, making it an ideal environment for those eager to push the boundaries of technology.
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Contact Detail:

OHO Group Ltd. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land ML Research Engineer (Remote)

✨Tip Number 1

Network with professionals in the AI and machine learning community. Attend conferences, webinars, or local meetups to connect with researchers and industry leaders. This can help you gain insights into the latest trends and potentially lead to referrals.

✨Tip Number 2

Engage with relevant online platforms and forums where machine learning topics are discussed. Contributing to discussions or sharing your own research can showcase your expertise and passion for the field, making you more visible to potential employers.

✨Tip Number 3

Consider collaborating on open-source projects related to machine learning. This not only enhances your skills but also demonstrates your ability to work in a team and contribute to significant projects, which is highly valued by employers.

✨Tip Number 4

Stay updated with the latest research and advancements in machine learning, especially in areas like Large Language Models. Being knowledgeable about current trends will allow you to speak confidently during interviews and show your commitment to the field.

We think you need these skills to ace ML Research Engineer (Remote)

PhD in Machine Learning or related field
Strong publication record in top-tier conferences or journals
Deep expertise in machine learning algorithm development
Experience with Large Language Models (LLMs)
Proficiency in programming languages such as Python or R
Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
Strong analytical and problem-solving skills
Ability to work independently and collaboratively in a remote environment
Excellent communication skills for sharing research findings
Experience with applied AI research at scale
Knowledge of statistical analysis and data mining techniques
Adaptability to rapidly changing technologies and methodologies
Passion for advancing the field of AI and machine learning

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning, particularly any work related to algorithm development and publications. Emphasise your PhD and any significant projects that showcase your expertise.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for machine learning and AI. Mention specific projects or research that align with the company's goals and how you can contribute to their elite team.

Highlight Publications: If you have published papers in top-tier conferences or journals, make sure to include these in your application. Provide links or references to your work to demonstrate your contributions to the field of machine learning.

Showcase Problem-Solving Skills: In your application, provide examples of complex problems you've tackled in your previous roles or research. Highlight your approach to solving these issues and the impact of your solutions, as this will resonate with the company's focus on innovation.

How to prepare for a job interview at OHO Group Ltd.

✨Showcase Your Research

Be prepared to discuss your previous research in detail. Highlight your publications and any significant contributions you've made to the field of machine learning, especially those related to Large Language Models.

✨Demonstrate Technical Expertise

Brush up on your knowledge of machine learning algorithms and be ready to solve technical problems during the interview. They may ask you to explain complex concepts or even code on the spot.

✨Prepare for Behavioural Questions

Expect questions about how you handle challenges and work within a team. Be ready to share examples of past experiences that demonstrate your problem-solving skills and ability to collaborate effectively.

✨Express Your Passion for AI

Convey your enthusiasm for advanced machine learning and its potential impact. Discuss any personal projects or ongoing learning that showcases your commitment to staying at the forefront of AI research.

ML Research Engineer (Remote)
OHO Group Ltd.
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