Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of ML models and build efficient training pipelines.
- Company: Join a mission-driven tech start-up focused on making the internet safer with AI.
- Benefits: Enjoy remote work options, competitive salary, unlimited holiday, and wellness budgets.
- Why this job: Be part of a collaborative team driving innovation and positive global impact.
- Qualifications: Extensive ML experience and proficiency in programming scalable ML pipelines required.
- Other info: Ideal for those passionate about AI and eager to create meaningful change.
The predicted salary is between 57000 - 95000 £ per year.
Are you driven by the idea of using AI to make the internet a safer, fairer place? Join a fast-growing, mission-driven tech start-up that’s leveraging cutting-edge AI to create a positive global impact.
Our client is seeking several Senior Machine Learning Engineers to help design and deploy state-of-the-art machine learning models that enhance online safety. As a Senior ML Engineer, you’ll play a pivotal role in:
- Shaping Strategy: Leading the development of ML models using techniques like LLMs (Large Language Models) and VLMs (Vision-Language Models). Building and refining efficient pipelines for model training, validation, and deployment.
- Driving Innovation: Staying on top of ML advancements and integrating new ideas into ongoing projects.
You’re passionate about AI, thrive in collaborative start-up settings, and are eager to create meaningful change.
Extensive ML Experience: Proven track record leading ML projects and setting technical direction in real-world applications.
Technical Skills: Proficiency in programming and building scalable ML pipelines. Expertise in ML Techniques: Strong understanding of LLMs, VLMs, and related methodologies.
A remote-friendly culture for flexibility and work-life balance. Competitive salary of up to £95,000. Paid parental and sick leave, annual professional development, and wellness budgets. Unlimited holiday for ultimate flexibility.
If you’re ready to take on a meaningful role in a mission-focused company driving safer online experiences, we’d love to hear from you!
Staff ML Engineer employer: HUG
Contact Detail:
HUG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff ML Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in machine learning, particularly in LLMs and VLMs. This will not only help you during interviews but also demonstrate your passion for the field and your commitment to staying updated.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences. Networking with other professionals can provide insights into industry trends and may even lead to referrals for job openings.
✨Tip Number 3
Showcase your previous ML projects on platforms like GitHub. Having a portfolio of your work can significantly enhance your credibility and give potential employers a clear view of your skills and experience.
✨Tip Number 4
Prepare to discuss how you've driven innovation in past roles. Be ready to share specific examples of how you've integrated new ML techniques into projects, as this aligns perfectly with the company's mission-driven approach.
We think you need these skills to ace Staff ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your extensive machine learning experience and technical skills. Focus on projects where you've led ML initiatives, particularly those involving LLMs and VLMs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how it aligns with the company's mission to enhance online safety. Mention specific examples of how you've driven innovation in previous roles.
Showcase Relevant Projects: Include a section in your application that details relevant projects you've worked on. Emphasise your role in developing ML models and building scalable pipelines, as well as any collaborative efforts in start-up environments.
Highlight Continuous Learning: Demonstrate your commitment to staying updated with ML advancements. Mention any recent courses, certifications, or conferences you've attended that relate to machine learning techniques and innovations.
How to prepare for a job interview at HUG
✨Showcase Your ML Expertise
Be prepared to discuss your previous machine learning projects in detail. Highlight specific models you've worked on, particularly LLMs and VLMs, and explain the impact they had on the projects.
✨Demonstrate Your Problem-Solving Skills
Expect scenario-based questions where you’ll need to outline how you would approach a specific ML challenge. Think about how you can leverage your experience to propose innovative solutions.
✨Stay Updated on Industry Trends
Research the latest advancements in machine learning and AI. Being able to discuss recent developments or breakthroughs will show your passion for the field and your commitment to continuous learning.
✨Emphasise Collaboration
Since the role involves working in a collaborative start-up environment, be ready to share examples of how you've successfully worked in teams. Highlight your communication skills and ability to drive projects forward with others.
