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: Collaborative culture with dynamic projects and excellent career advancement opportunities.
- Why this job: Make a real impact by building AI solutions that empower human decisions.
- Qualifications: 5+ years in software or ML engineering with strong Python skills.
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 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, particularly in cutting-edge AI development. Our hybrid work model fosters flexibility while ensuring that team members can engage directly with clients, making every day an exciting opportunity to shape the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer
✨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 those involving rapid prototyping and LLMs. Share it on platforms like GitHub and make sure it's easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for the unexpected! Since this role thrives in ambiguity, practice discussing how you've tackled challenges without clear guidelines. Be ready to share examples of how you’ve built prototypes quickly and iteratively.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Remote AI Engineer
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! If you've built any proof-of-concept AI solutions or interactive demos, make sure to include them in your application. Show us your thought process and how you turned ideas into working prototypes.
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 don’t miss out on any important updates during the process!
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 knowledge of prompt engineering and cloud AI services like Azure OpenAI or AWS Bedrock. Being able to discuss these topics confidently will show that you're ready to hit the ground running.
✨Embrace the Ambiguity
Since this role thrives in a fast-paced, ever-changing environment, be prepared to discuss how you've navigated ambiguity in past projects. Share examples where you quickly adapted to shifting priorities and how you turned vague ideas into working prototypes.
✨Showcase Your Prototyping Skills
Bring along examples of your previous proof-of-concept projects or demo prototypes. Be ready to explain your thought process, the challenges you faced, and how you iterated on your designs. This will demonstrate your hands-on experience and ability to innovate.
✨Engage with the Interviewers
Don’t just answer questions—ask them too! Inquire about the team’s current projects, their approach to innovation, and how they handle client needs. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
