At a Glance
- Tasks: Rapidly build and iterate on innovative AI solutions using cutting-edge technologies.
- Company: Join Fractal Analytics, a strategic AI partner for Fortune 500 companies.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Work collaboratively in a fast-paced setting with excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact in a dynamic environment.
- Qualifications: 5+ years in software or ML engineering, strong Python skills, and experience with GenAI.
The predicted salary is between 70000 - 90000 £ per year.
Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. We believe that a true Fractalite is one who empowers imagination with intelligence.
This is not a reporting or maintenance role - it is a fast-paced, innovation-first position where you will rapidly conceptualize, build, and iterate on proof-of-concept AI solutions using cutting-edge LLM tooling.
The work is adaptive in nature - there is no fixed project plan or pre-defined requirements document. Priorities are set collaboratively on a rolling basis in response to the client’s emerging needs, making this ideal for someone who thrives in ambiguity, moves fast, and gets energy from building things that didn’t exist yesterday.
Attend in-person working sessions at the client’s London office on Tuesdays, Wednesdays, and Thursdays each week.
- 5+ years of professional experience in software engineering, ML engineering, or applied AI development.
- Strong proficiency in Python for rapid prototyping, data manipulation, API integration, and ML model experimentation.
- Hands-on experience with GenAI/LLM application development - including prompt engineering, RAG architectures, tool use, and agentic workflows.
- Demonstrated experience using AI-assisted coding tools.
- Working knowledge of ML fundamentals: classification, regression, clustering, NLP, embeddings, and model evaluation.
- Ability to move from idea to working prototype extremely quickly - comfort with imperfect code, fast iteration, and progressive refinement over waterfall planning.
- Self-directed and adaptable - comfortable working without detailed specifications in a fast-changing, priority-shifting environment.
- Familiarity with front-end development (React, HTML/CSS, Streamlit, Gradio) for building interactive demo interfaces around AI prototypes.
- Experience with cloud AI services (Azure OpenAI, AWS Bedrock, GCP Vertex AI) for model hosting and API integration.
- Background in marketing technology, digital marketing, or consumer-facing product development.
- Experience working in embedded consulting or contractor roles within large enterprise environments.
- Familiarity with vector databases (Pinecone, ChromaDB, Weaviate) and semantic search architectures.
- Prior experience building and presenting POCs or demo prototypes to senior/executive stakeholders.
Engagement Type: Fractal FTE, embedded within Client’s EMEIA team at the client’s London office.
Primary Location: Client office, Central London
Remote Days: Monday and Friday (flexible).
Bachelor’s degree in computer science, Data Science, Machine Learning, Software Engineering, or a related technical field. Master’s degree is a plus but not required.
AI Innovation Engineer in London employer: Fractal
Fractal Analytics is an exceptional employer, offering a dynamic and innovative work environment in the heart of Central London. With a strong focus on employee empowerment and creativity, Fractal encourages its team to thrive in ambiguity and rapidly prototype cutting-edge AI solutions. The hybrid work model, combined with opportunities for professional growth and collaboration with Fortune 500 clients, makes it an ideal place for those seeking meaningful and rewarding careers in AI innovation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Innovation Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving rapid prototyping and LLM tooling. This is your chance to demonstrate your ability to move from idea to working prototype quickly, which is exactly what Fractal is looking for.
✨Tip Number 3
Prepare for the unexpected! Since this role thrives in ambiguity, practice thinking on your feet. During interviews, be ready to discuss how you've tackled challenges without a clear roadmap and how you adapt to shifting priorities.
✨Tip Number 4
Apply through our website! We love seeing candidates who are genuinely interested in joining us at Fractal. Make sure your application reflects your passion for innovation and your hands-on experience with GenAI and LLMs. Let's build something amazing together!
We think you need these skills to ace AI Innovation Engineer in London
Some tips for your application 🫡
Show Your Passion for Innovation:When you're writing your application, let your enthusiasm for AI and innovation shine through. We want to see how you can bring fresh ideas to the table and how you've tackled challenges in the past. Make it clear that you're not just looking for a job, but a chance to make an impact!
Tailor Your Experience:Make sure to highlight your relevant experience in software engineering and AI development. We love seeing specific examples of your work with GenAI and LLMs. Don’t just list your skills; show us how you've used them to create something amazing!
Be Yourself:We value authenticity, so don’t be afraid to let your personality come through in your application. Share your journey, your motivations, and what excites you about this role. We’re looking for someone who fits our culture, so being genuine is key!
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to see your application and get you into the process. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Fractal
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the latest GenAI/LLM tools. Brush up on your experience with prompt engineering and cloud AI services like Azure OpenAI or AWS Bedrock. Being able to discuss specific projects where you've used these technologies will show you're not just familiar, but truly knowledgeable.
✨Embrace the Ambiguity
This role thrives in a fast-paced, ever-changing environment. Prepare to discuss how you've successfully navigated ambiguity in past projects. Share examples of how you’ve quickly adapted to shifting priorities and still delivered innovative solutions.
✨Showcase Your Prototyping Skills
Be ready to talk about your rapid prototyping experience. Highlight instances where you moved from concept to working prototype swiftly, even if the code was imperfect. This will demonstrate your ability to iterate and refine ideas effectively.
✨Engage with Stakeholders
Since presenting POCs to senior stakeholders is key, prepare to discuss your experience in this area. Think of examples where you’ve communicated complex AI concepts clearly and effectively, ensuring that your audience understood the value of your prototypes.
