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For Companies At a Glance
- Tasks: Integrate ML and NLP into real-world workflows and build scalable systems.
- Company: Dynamic AI startup focused on innovative solutions and niche markets.
- Benefits: Competitive salary up to £100k, flexible remote work, and quick hiring process.
- Why this job: Join a high-performing team and make a real impact in the AI industry.
- Qualifications: Experience in deploying ML models, Python programming, and startup environments.
- Other info: London-based with occasional onsite meetings and excellent growth opportunities.
The predicted salary is between 54000 - 84000 £ per year.
An Agentic AI start up is looking for a Senior Engineer (AI/ML focused) to join them! They are a small high performing team. After building an Agentic AI platform, they are now becoming hyper focused on a niche and fine-tuning their models. This is a great opportunity to join them as they become super specialized and break into a new market.
The role:
- You'd be coming on board to integrate ML and NLP components into real-world workflows.
- Focus on turning modelling logic into scalable, reliable workflows.
- Build and operate the systems that power their agentic platform.
- Have ownership over its execution.
London based, 1 day every 1-2 weeks onsite.
Salary up to £100k.
What you need:
- Experience deploying ML models into production.
- Experience programming in Python.
- Graph database experience with Neo4J or similar.
- Experience in startup/scale up environments.
They have a quick 3 stage process which can be wrapped up by the end of the month!
Senior Machine Learning Engineer employer: RevTech
Contact Detail:
RevTech Recruiting Team
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 folks in the AI/ML community, especially those who work at startups. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially any that involve deploying models or working with NLP. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and graph database knowledge. Be ready to discuss how you've integrated ML into real-world applications, as this is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deploying ML models and programming in Python. We want to see how your skills align with our needs, so don’t hold back!
Tailor Your Application: Take a moment to customise your application for this role. Mention your experience in startup environments and how it relates to the niche focus of our Agentic AI platform.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at RevTech
✨Know Your ML Models Inside Out
Make sure you can discuss your experience with deploying ML models in production. Be ready to explain the challenges you faced and how you overcame them. This shows your practical knowledge and problem-solving skills.
✨Showcase Your Python Skills
Since programming in Python is a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so brush up on your Python syntax and libraries relevant to ML and NLP.
✨Familiarise Yourself with Graph Databases
Get comfortable discussing graph databases like Neo4J. Be prepared to share examples of how you've used them in past projects, especially in relation to ML workflows. This will highlight your technical expertise.
✨Emphasise Your Startup Experience
Since they’re a startup, they’ll value your adaptability and ability to thrive in fast-paced environments. Share specific examples of how you've contributed to a team in a similar setting, focusing on your ownership of projects and outcomes.
