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: Flexible remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture 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 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.
AI Engineer (Remote) employer: Fractal
Fractal Analytics is an exceptional employer, offering a dynamic and innovative work environment in Central London that fosters creativity and collaboration. With a strong focus on employee growth, Fractal empowers its team to explore cutting-edge AI technologies while working closely with Fortune 500 clients, ensuring that every day brings new challenges and opportunities for professional development. The hybrid work model allows for flexibility, making it an ideal place for those who thrive in fast-paced, adaptive settings.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those at Fractal or similar companies. Attend meetups, webinars, and industry events to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially any prototypes or demos you've built. This is your chance to demonstrate your ability to move from idea to working prototype quickly.
✨Tip Number 3
Prepare for interviews by brushing up on your problem-solving skills. Be ready to discuss how you handle ambiguity and adapt to changing priorities, as this role thrives on innovation and fast-paced environments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team and contributing to exciting AI innovations.
We think you need these skills to ace AI Engineer (Remote)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python and GenAI/LLM application development. We want to see how you've used these skills in real projects, so don’t hold back on the details!
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 built prototypes quickly.
Be Creative with Your Prototypes:We love innovation! When discussing your past work, focus on the creative solutions you've developed. Show us how you’ve turned ideas into working prototypes, even if they were a bit rough around the edges.
Apply Through Our Website:Don’t forget to apply 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 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 handle ambiguity. Share examples from your past where you successfully navigated unclear project requirements and still delivered innovative solutions.
✨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 ability to move quickly from idea to working prototype.
✨Engage with the Interviewers
Don’t just answer questions—engage in a conversation! Ask insightful questions about their current projects and how they envision the role contributing to their goals. This shows your genuine interest and helps you assess if the company is the right fit for you.
