At a Glance
- Tasks: Lead a team in developing and deploying machine learning systems.
- Company: Join a dynamic Series B-funded scale-up in London.
- Benefits: £145,000 salary, 25 days holiday, and flexible hybrid working.
- Other info: No CV needed to apply; just use your LinkedIn profile!
- Why this job: Make a real impact by shipping innovative AI products to production.
- Qualifications: Experience with PyTorch, Python, and leading teams in ML projects.
The predicted salary is between 145000 - 145000 € per year.
Want to be a part of a Series B-funded, scale-up business, helping drive their AI story? This is a 100% hands-on position, leading a small team, projects and setting technical direction. This won't be just a research role, you'll ship products to production. You'll own the end-to-end lifecycle of ML systems.
What's in it for you?
- £145,000 base salary
- 25 days holiday plus bank holiday
- Flexible, hybrid working from central London
- And much more
What will make you stand out?
- PyTorch, Python, understanding of the machine learning ecosystem
- AWS
- Agentic workflows
- ML Algorithms
- Experience with LLMs, NLPs, MCP Servers
- Software Engineering background (there will be hands-on coding)
- Experience leading teams and setting direction
Sound like you? No CV is needed at this stage - we can cross that bridge later. Simply press the 'Easy Apply' button at the top of this page with your LinkedIn profile. Good luck! Please note, only UK-based candidates will be considered.
Lead Machine Learning Engineer employer: Tact
Join a dynamic and innovative scale-up in London, where you'll not only lead a talented team but also play a pivotal role in shaping the future of AI. With a competitive salary of £145,000, generous holiday allowance, and flexible hybrid working arrangements, this company fosters a collaborative and growth-oriented culture that empowers employees to thrive and make a real impact in the tech landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer
✨Tip Number 1
Make sure your LinkedIn profile is up to date and reflects your skills in PyTorch, Python, and machine learning. This is your chance to showcase your experience with LLMs and NLPs, so let’s make it shine!
✨Tip Number 2
When you hit that 'Easy Apply' button, include a brief note about why you're excited about the role. Mention your hands-on coding experience and how you’ve led teams before – it’ll help us see your passion!
✨Tip Number 3
Prepare for potential interviews by brushing up on your knowledge of AWS and ML algorithms. We want to hear how you’ve shipped products to production and tackled challenges in your previous roles.
✨Tip Number 4
Don’t forget to network! Reach out to connections in the AI space or join relevant groups. Sometimes, a friendly chat can lead to opportunities that aren’t even advertised yet!
We think you need these skills to ace Lead Machine Learning Engineer
Some tips for your application 🫡
Show Your Passion for AI:When you're filling out your application, let your enthusiasm for AI and machine learning shine through. We want to see how excited you are about driving our AI story forward!
Highlight Relevant Experience:Make sure to showcase your experience with PyTorch, Python, and any ML algorithms you've worked with. We’re looking for hands-on experience, so don’t hold back on those coding skills!
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see why you’d be a great fit for leading our ML team.
Use LinkedIn to Your Advantage:Since we’re asking for your LinkedIn profile, ensure it’s up-to-date and reflects your skills and experiences. This is your chance to impress us before we even meet!
How to prepare for a job interview at Tact
✨Know Your Tech Inside Out
Make sure you’re well-versed in PyTorch, Python, and the machine learning ecosystem. Brush up on your knowledge of ML algorithms and be ready to discuss how you've applied them in real-world scenarios. This is a hands-on role, so they’ll want to see your technical chops!
✨Showcase Your Leadership Skills
Since this position involves leading a small team, be prepared to share examples of how you've successfully managed projects and set technical direction in the past. Highlight your experience in guiding teams through challenges and delivering results.
✨Demonstrate Your Product Mindset
This isn’t just about research; it’s about shipping products to production. Be ready to talk about your experience with the end-to-end lifecycle of ML systems. Share specific examples of projects where you’ve taken an idea from concept to deployment.
✨Be Ready for Hands-On Coding
Expect some coding challenges during the interview. Brush up on your software engineering skills and be prepared to solve problems on the spot. They’ll want to see how you approach coding tasks and your thought process behind them.
