At a Glance
- Tasks: Lead a team to develop and deploy cutting-edge machine learning products.
- Company: Join a dynamic Series B-funded scale-up in London.
- Benefits: Enjoy a £145,000 salary, 25 days holiday, and flexible hybrid working.
- Other info: No CV needed; apply easily with your LinkedIn profile.
- Why this job: Make a real impact in AI while leading innovative projects.
- Qualifications: Experience with PyTorch, Python, and machine learning algorithms required.
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 in Slough employer: Tact
Join a dynamic and innovative scale-up in the heart of 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, 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 in Slough
✨Tip Number 1
Make sure your LinkedIn profile is up to date and showcases your skills in PyTorch, Python, and machine learning. This is your chance to shine without a CV, so let your profile do the talking!
✨Tip Number 2
Network like a pro! Reach out to connections in the AI and ML space. A friendly chat can lead to opportunities that aren’t even advertised yet. Plus, it shows you’re proactive!
✨Tip Number 3
Prepare for hands-on coding challenges. Brush up on your software engineering skills and be ready to demonstrate your knowledge of ML algorithms and AWS during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s super easy and ensures your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Lead Machine Learning Engineer in Slough
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.
Apply Through Our Website:Remember, applying through our website is the easiest way to get started. Just hit that 'Easy Apply' button with your LinkedIn profile, and we’ll take it from there!
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, especially LLMs and NLPs, as these will likely come up during the interview.
✨Showcase Your Leadership Skills
Since this role involves leading a small team, be prepared to discuss your previous experiences in leadership. Share specific examples of how you've set direction and managed projects, highlighting your hands-on approach.
✨Demonstrate Your Problem-Solving Abilities
Be ready to tackle some technical challenges during the interview. Think through potential scenarios where you might need to ship products to production and explain your thought process clearly.
✨Familiarise Yourself with AWS
As AWS is mentioned in the job description, it’s crucial to understand its services and how they relate to machine learning. Prepare to discuss how you’ve used AWS in past projects or how you would leverage it in this role.
