AI Engineer in London

AI Engineer in London

London Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and scale AI systems to drive a low-carbon future with innovative technology.
  • Company: Join Octopus, the UK's number one energy supplier, focused on sustainability.
  • Benefits: Flexible salary, remote work options, and a culture that values your input.
  • Why this job: Make a real impact in the energy sector while working with cutting-edge AI technology.
  • Qualifications: Experience with GenAI, Python applications, and a passion for problem-solving.
  • Other info: Dynamic team environment with opportunities for personal and professional growth.

The predicted salary is between 28800 - 48000 £ per year.

Octopus was founded with a mission to use technology to accelerate us towards a low-carbon future. That's why we created Kraken - our own technology platform from scratch which now serves over 70 million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy.

We have been using GenAI in live, customer-facing environments since 2022, including one system that creates tens of thousands of high-quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer-specific data from Kraken.

We are now looking for an AI Engineer. You will take ownership of building and scaling the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). This may take the form of a platform, shared services, or other scalable infrastructure. You will work with a cross-functional team to build out flagship AI projects and will continue to develop the best practice for how we work with AI at Octopus. You'll report into the Head of AI and work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You'll have wide open problems to solve, so you'll need to be comfortable with ambiguity, figuring out an approach and validating it fast.

What You'll Do

  • Design and Develop AI Platform Services - Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
  • Knowledge Base Development - Build and maintain knowledge retrieval systems including embedding generation, chunking, and strategies for database management.
  • AI Ops, evals and observability - Setting up frameworks for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
  • Context Engineering - Design systems for prompt assembly: Create prompt templates, system prompts and guidelines for platform users.

What You'll Have

  • Deep Understanding of GenAI - experience working with LLMs.
  • Data Product Development - experience building Python-based applications and/or data products, with hands-on work in data-intensive and machine learning systems.
  • AI model evaluation and observability - Experience of different ways of evaluating AI models and applications. Implementing logging, tracing, and monitoring in systems.
  • Context Engineering and Knowledge Grounding - Experience of optimising and grounding GenAI models and applications through prompt design, RAG and knowledge base integration.
  • Software Development Practices - Strong grounding in Git, testing, CI/CD frameworks.
  • Ability to thrive in a fast moving environment - Dealing with ambiguity, setting clear priorities, and translating ideas into actionable plans.

It would be great if you had

  • GenAI Application Development - Hands-on experience of building AI applications.
  • Experience of using techniques such as tool calling, agentic workflows, finetuning and reinforcement learning.
  • Backend Development - Experience designing and building applications and services that encapsulate business logic, data and information flows and connect AI models into wider applications.
  • Pipeline Design and Build - Experience integrating different types of databases and building and optimising data pipelines.

Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about. We won best company to work for in 2022, on Glassdoor we were voted 50 best places to work in 2022 and our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership.

If this sounds like you then we'd love to hear from you. Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic.

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

AI Engineer in London employer: Octopus Energy Group

At Octopus, we pride ourselves on fostering a dynamic and inclusive work culture where innovation thrives. As an AI Engineer, you'll be empowered with the latest technology and given the autonomy to tackle meaningful challenges that contribute to a sustainable future. With a commitment to employee growth and a flexible approach to compensation, we ensure that your contributions are recognised and rewarded in a supportive environment.
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Contact Detail:

Octopus Energy Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Octopus employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Show off your skills! If you’ve got a portfolio or any projects related to AI, make sure to highlight them during interviews. We love seeing what you can do in action!

✨Tip Number 3

Prepare for those tricky questions! Brush up on your knowledge of Generative AI and be ready to discuss how you’d tackle real-world problems at Octopus. We appreciate candidates who can think on their feet.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for that perfect octofit!

We think you need these skills to ace AI Engineer in London

Generative AI
Large Language Models (LLMs)
Python Development
Data Product Development
AI Model Evaluation
Observability Frameworks
Context Engineering
Knowledge Base Integration
Software Development Practices
Git
CI/CD Frameworks
Backend Development
Data Pipeline Design
Ambiguity Management
Problem-Solving

Some tips for your application 🫡

Show Your Passion for AI: When you're writing your application, let your enthusiasm for AI and its potential to drive change shine through. We want to see how your experience aligns with our mission to use technology for a low-carbon future.

Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that are most relevant to the AI Engineer role. We love seeing how your unique background can contribute to our team!

Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make sure to articulate your thoughts well and avoid unnecessary jargon. This helps us understand your qualifications better.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.

How to prepare for a job interview at Octopus Energy Group

✨Know Your GenAI Inside Out

Make sure you brush up on your knowledge of Generative AI models, especially LLMs. Be ready to discuss your hands-on experience and how you've applied these technologies in real-world scenarios. This will show that you're not just familiar with the theory but can also implement it effectively.

✨Showcase Your Problem-Solving Skills

Octopus values self-driven individuals who can tackle ambiguity. Prepare examples from your past work where you faced unclear challenges and how you approached solving them. Highlight your ability to set priorities and translate ideas into actionable plans.

✨Demonstrate Your Technical Expertise

Be ready to dive deep into your experience with Python-based applications and data products. Discuss your familiarity with software development practices like Git, CI/CD frameworks, and how you've implemented logging and monitoring in AI systems. This will help you stand out as a candidate who can hit the ground running.

✨Align with Octopus's Mission

Familiarise yourself with Octopus's mission towards a low-carbon future and be prepared to discuss how your skills and experiences align with this goal. Show genuine enthusiasm for building technology that changes the way customers use energy, as this passion is key to fitting in with their culture.

AI Engineer in London
Octopus Energy Group
Location: London

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