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- Tasks: Join a start-up to develop and deploy cutting-edge large language models.
- Company: Exciting US-based start-up expanding into the UK with a focus on AI innovation.
- Benefits: Enjoy competitive salary, stock options, health benefits, and access to top-tier compute resources.
- Why this job: Make a real impact in AI while collaborating with top talent in a supportive environment.
- Qualifications: Master's degree in relevant fields and expertise in MLOps and Python programming required.
- Other info: Hybrid work model available, with a focus on research and practical applications.
The predicted salary is between 80000 - 120000 £ per year.
ML Engineer
Hays London, United Kingdom Apply now Posted 5 days ago Hybrid Job Permanent GBP100000.0 – GBP130000.0 per annum + Competitive + Benefits Package
Hays Software Engineering are looking for a Machine Learning Engineer to join a heavily backed, exciting Large Language Model start-up based in the US, looking to build their presence in the UK starting with an engineering hub in London.
What you will be doing:
- Conduct research and implement solutions for the development, training, and deployment of large language models, with a focus on both pre-training and post-training processes, including fine-tuning, alignment, and optimisation.
- Collaborate closely with research teams to build, optimise, and maintain data sets, as well as scalable training and data pipelines for LLMs, ensuring efficient deployment in production environments.
- Build and maintain comprehensive documentation for infrastructure components and systems.
- Design and implement systems that ensure reproducibility and traceability in data preparation.
- Develop and maintain detailed documentation and codebases to ensure reproducibility and best practices in research and development workflows.
- Stay updated with advancements in machine learning, NLP, and AI, and evaluate their relevance to ongoing and future projects.
What we are looking for:
- Master’s degree in Computer Science, Machine Learning, Mathematics, or a related field, with a strong emphasis on natural language processing or machine learning.
- Expertise in MLOps best practices, including model versioning, CI/CD pipelines, containerisation, and cloud deployment for large-scale models.
- Proficient programming skills in Python, with familiarity in machine learning frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, and MLOps tools like MLflow and Kubeflow.
- Exceptional analytical and problem-solving abilities, with a knack for transforming complex theoretical research into practical applications.
What you will get in return:
- Supportive Environment: Benefit from huge funding, collaborating with top-tier talent.
- Top-Tier Compute: Access a dedicated GPU cluster for research.
- Impactful Work: Shape the future of AI applications, making technology more accessible and eco-friendly.
- Competitive Benefits: Enjoy a competitive salary, stock options, health benefits, and more.
Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk
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ML Engineer | London, UK | Hybrid employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer | London, UK | Hybrid
✨Tip Number 1
Make sure to showcase your expertise in MLOps best practices during the interview. Be prepared to discuss your experience with model versioning, CI/CD pipelines, and cloud deployment, as these are crucial for the role.
✨Tip Number 2
Familiarize yourself with the latest advancements in machine learning and NLP. Being able to discuss recent trends or breakthroughs can demonstrate your passion and commitment to the field.
✨Tip Number 3
Prepare examples of how you've transformed complex theoretical research into practical applications. This will highlight your analytical and problem-solving skills, which are essential for this position.
✨Tip Number 4
Network with professionals in the AI and machine learning community. Engaging with others in the field can provide valuable insights and potentially lead to referrals, increasing your chances of landing the job.
We think you need these skills to ace ML Engineer | London, UK | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, natural language processing, and MLOps. Use specific examples that demonstrate your expertise in Python and familiarity with frameworks like TensorFlow and PyTorch.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with their focus on large language models and your ability to contribute to their engineering hub in London.
Showcase Your Projects: If you have worked on relevant projects, especially those involving large language models or MLOps, be sure to include them. Provide links to your GitHub or any other portfolio where potential employers can see your work.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops related to machine learning, NLP, or AI. This shows your commitment to staying updated with advancements in the field, which is crucial for this role.
How to prepare for a job interview at Hays
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks like TensorFlow and PyTorch. Highlight specific projects where you've implemented MLOps best practices, as this will demonstrate your hands-on expertise.
✨Discuss Your Research Experience
Since the role involves conducting research on large language models, be ready to talk about any relevant research you've done. Explain how you approached problem-solving and the impact of your findings on previous projects.
✨Emphasize Collaboration
This position requires close collaboration with research teams. Share examples of how you've successfully worked in teams, particularly in cross-functional settings, to achieve common goals in machine learning projects.
✨Stay Updated on Industry Trends
Demonstrate your passion for the field by discussing recent advancements in machine learning and NLP. Mention any relevant articles, papers, or technologies that excite you and how they could apply to the company's projects.
