At a Glance
- Tasks: Design and build machine learning models to enhance personalisation and search relevance.
- Company: Leading global marketplace with a focus on innovation and collaboration.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with exposure to the latest ML research and technologies.
- Why this job: Shape how millions discover products using cutting-edge ML techniques.
- Qualifications: Experience in machine learning, proficiency in Python, and collaborative skills.
The predicted salary is between 43200 - 72000 £ per year.
📍 Location: London (Hybrid - 3 days in office)
💰 Package: £125k + 10% bonus + equity options
🤖 The Opportunity
I'm partnered with a fast-growing, VC-backed unicorn 🦄 transforming how people learn and develop skills through AI.
This isn't just another AI role - you'll be turning cutting‑edge research into real‑world impact, working at the exciting intersection of education and technology. Think LLM-powered content generation, semantic search, and ML systems that actually make a difference in people's careers.
Key Requirements
- 5+ years experience with strong backend engineering chops
- Production battle scars with LLMs and ML frameworks
- Python & TypeScript expertise for APIs and microservices
- AWS deployment + MLOps knowledge
- End-to-end ownership mindset – you ship, you own it
Please apply directly or contact me directly on mmatysik@trg-uk.com
#J-18808-Ljbffr
Senior Machine Learning Engineer employer: trg.recruitment
Join a forward-thinking company that values innovation and collaboration, offering a remote work environment that promotes flexibility and work-life balance. As a Data Scientist, you'll have access to cutting-edge technology and resources, along with opportunities for professional development and growth within a supportive team culture. With competitive compensation and a commitment to employee well-being, this is an excellent place to advance your career while making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow Machine Learning enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your ML concepts and frameworks like PyTorch and TensorFlow. Practice explaining your past projects and how they relate to the role you're applying for – clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior Machine Learning Engineer. Highlight your experience with ML frameworks like PyTorch and TensorFlow, and don’t forget to showcase any projects that demonstrate your skills in personalisation and recommendation systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning and how your background aligns with our mission at StudySmarter. Be sure to mention any collaborative projects you've worked on that relate to the job description.
Showcase Your Projects:If you’ve got any relevant projects or research, make sure to include them in your application. We love seeing practical applications of your skills, especially if they involve large-scale experiments or innovative ML solutions!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative to connect with us directly!
How to prepare for a job interview at trg.recruitment
✨Know Your ML Stuff
Make sure you brush up on your machine learning concepts and frameworks like PyTorch and TensorFlow. Be ready to discuss your past projects and how you've applied these technologies in real-world scenarios.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, be prepared to share examples of how you've successfully collaborated with engineers, product managers, or data scientists in the past. Highlight your ability to translate complex ML ideas into actionable insights for non-technical audiences.
✨Experimentation is Key
Talk about your experience running large-scale experiments and A/B testing. Be specific about the methodologies you used and the outcomes of those experiments. This shows that you understand the importance of validating ideas before implementation.
✨Stay Curious and Updated
Demonstrate your eagerness to learn by discussing recent ML research or techniques you've come across. Mention any new methods in NLP, vision, or recommendation systems that excite you, and how you plan to apply them in your work.
