At a Glance
- Tasks: Lead a team in developing and deploying machine learning products.
- 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 in AI while owning the ML lifecycle.
- Qualifications: Experience with PyTorch, Python, and leading teams.
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 technology. 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 machine learning 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 showcases your skills in PyTorch, Python, and machine learning. We want to see your projects and achievements front and centre!
✨Tip Number 2
Network like a pro! Reach out to connections in the AI and ML space. We can help you find opportunities through our website, so don’t hesitate to explore.
✨Tip Number 3
Prepare for hands-on coding interviews by brushing up on your software engineering skills. We know you’ll be leading a team, but showing off your coding chops is key!
✨Tip Number 4
Don’t forget to highlight your leadership experience! We’re looking for someone who can set direction and inspire a team, so share those stories when you get the chance.
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 skills, so don’t hold back on the details!
Be Yourself:We love authenticity! Don’t be afraid to let your personality come through in your application. We want to know who you are beyond just your technical skills.
Easy Apply is the Way to Go:Remember, no CV is needed at this stage! Just hit that 'Easy Apply' button with your LinkedIn profile. It’s a quick and simple way to get your foot in the door with us!
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 role is hands-on, 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 led projects or teams in the past. Highlight your experience in setting technical direction and how you’ve motivated others to achieve their goals.
✨Demonstrate Your Product Mindset
This isn’t just about research; it’s about shipping products to production. Be ready to discuss your experience with the end-to-end lifecycle of ML systems. Share specific examples of projects where you took 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.
