At a Glance
- Tasks: Create innovative AI solutions and prototype cutting-edge technology in a fast-paced environment.
- Company: Join Fractal Analytics, a strategic AI partner for Fortune 500 companies.
- Benefits: Enjoy competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with collaborative culture and excellent career advancement opportunities.
- Why this job: Be at the forefront of AI innovation and make a real impact on client projects.
- Qualifications: 5+ years in software or ML engineering with strong Python skills and GenAI experience.
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.
Remote AI 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, we provide ample opportunities for professional growth and collaboration on cutting-edge AI projects. Our hybrid work model fosters flexibility while ensuring that team members can engage directly with clients, making every day an exciting chance to contribute to transformative solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech space, especially those who work at Fractal or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Create a portfolio of your AI projects, especially any prototypes or demos you've built. This is your chance to shine and demonstrate your ability to move from idea to working prototype quickly.
✨Tip Number 3
Prepare for interviews by practising how to discuss your experience with ambiguity and fast-paced environments. Use examples from your past where you thrived without detailed specifications – that's what they want to hear!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're serious about joining the team and ready to dive into the exciting world of AI innovation.
We think you need these skills to ace Remote AI Engineer in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and AI development in your application. We want to see how you've used these skills in real-world projects, especially in rapid prototyping and building innovative solutions.
Embrace the Ambiguity:Since this role thrives in a fast-paced, ever-changing environment, let us know how you handle ambiguity. Share examples of how you've adapted to shifting priorities and tackled challenges without a detailed plan.
Be Creative with Your Prototypes:We love innovation! When describing your past projects, focus on your ability to move from idea to prototype quickly. Tell us about any unique approaches you've taken or tools you've used to create engaging AI solutions.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to see what you bring to the table!
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
Since this role thrives in a fast-paced, ever-changing environment, be prepared to discuss how you handle ambiguity. Share examples of past experiences where you successfully navigated unclear requirements and turned them into innovative solutions. This will demonstrate your adaptability and self-direction.
✨Showcase Your Prototyping Skills
Be ready to talk about your rapid prototyping abilities. Highlight instances where you moved from concept to working prototype quickly, even if the code was imperfect. This shows that you can iterate fast and refine your work based on feedback, which is crucial for this role.
✨Engage with Stakeholders
Prepare to discuss your experience presenting POCs or demo prototypes to senior stakeholders. Communication is key, so think about how you can convey complex AI concepts in an engaging way. This will highlight your ability to bridge the gap between technical and non-technical audiences.
