Senior AI Engineer | Tech Start-Up in London

Senior AI Engineer | Tech Start-Up in London

Full-Time 60000 - 100000 € / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and deploy bespoke AI agents for top-tier clients, solving real-world challenges.
  • Company: Rapidly growing AI tech scale-up in London with a pioneering platform.
  • Benefits: Competitive salary, sizeable shares, hybrid work, and opportunities for professional growth.
  • Other info: Dynamic environment with a focus on innovative AI solutions and career advancement.
  • Why this job: Join a collaborative team and make a significant impact using cutting-edge AI technologies.
  • Qualifications: Strong foundation in data science, programming skills in Python, and client engagement experience.

The predicted salary is between 60000 - 100000 € per year.

We are excited to be working with a rapidly growing AI tech scale-up that’s expanding its team with a talented AI Engineer or Senior AI Engineer.

The Company

This pioneering company offers an advanced enterprise platform that delivers predictive analytics and AI-powered decision-making. Their digital AI agents provide always-on, intelligent insights, empowering top-tier clients across sectors, including asset management, banking, retail, telecoms, supply chain, and utilities, to dramatically enhance performance and efficiency.

The Role

You’ll play a key role in designing and deploying bespoke AI agents in collaboration with leading enterprises. This isn’t your typical AI Engineering position – it’s deeply technical, highly collaborative, and focused on delivering real-world impact. You’ll help translate complex business challenges into intelligent, scalable solutions powered by cutting-edge AI tools.

The Candidate

  • Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python.
  • Passion for Cutting-Edge AI – You actively experiment with and apply modern AI technologies such as LLMs, RAGs, co-pilots, agentic workflows (heavily desired), and more.
  • Client-Centric Problem Solver – You’re confident engaging with clients and stakeholders, able to translate complex business problems into elegant, scalable AI solutions. You’ve played a hands‑on role in architecting and delivering real-world deployments.

Senior AI Engineer | Tech Start-Up in London employer: Energy Jobline ZR

Join a dynamic and innovative AI tech start-up in London, where you'll be at the forefront of developing cutting-edge AI solutions that drive real-world impact. With a strong emphasis on collaboration and employee growth, this company offers a vibrant work culture, competitive salary, and sizeable shares, ensuring that your contributions are recognised and rewarded. Enjoy the flexibility of a hybrid working model while being part of a team that values creativity and forward-thinking in the rapidly evolving tech landscape.

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Contact Detail:

Energy Jobline ZR Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer | Tech Start-Up in London

Tip Number 1

Network like a pro! Get out there and connect with people in the AI space. Attend meetups, webinars, or industry events. You never know who might be looking for someone just like you!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving cutting-edge AI technologies. This will give potential employers a taste of what you can do and how you tackle real-world problems.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python and machine learning, and think about how you can translate complex challenges into scalable solutions.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our platform.

We think you need these skills to ace Senior AI Engineer | Tech Start-Up in London

Data Science Foundations
Statistics
Machine Learning
Python
AI Technologies
LLMs (Large Language Models)
RAGs (Retrieval-Augmented Generation)

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer role. Highlight your strong data science foundations and any hands-on experience with AI technologies, as this will catch our eye!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about cutting-edge AI and how your problem-solving skills can help us deliver real-world impact. Keep it engaging and personal.

Showcase Your Projects:If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and deploy AI solutions. We love seeing practical applications of your skills.

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 the role. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at Energy Jobline ZR

Know Your AI Stuff

Make sure you brush up on your knowledge of the latest AI technologies, especially LLMs and agentic workflows. Be ready to discuss how you've applied these in real-world scenarios, as this will show your passion and expertise.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex business challenges with AI solutions. Think about specific projects where you translated client needs into scalable outcomes, as this will highlight your client-centric approach.

Get Technical

Since this role is deeply technical, be prepared to dive into the nitty-gritty of your programming skills, particularly in Python. You might be asked to solve a coding problem or discuss your data science foundations, so practice articulating your thought process.

Engage with Confidence

Remember, this is a collaborative environment. Practice how you would engage with clients and stakeholders during the interview. Show that you can communicate complex ideas clearly and confidently, which is key for this role.