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 dynamic projects and excellent career advancement opportunities.
- Why this job: Make a real impact in a fast-paced, innovation-driven 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.
Senior AI Engineer (Remote) employer: Fractal
Fractal Analytics is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Senior AI Engineers who thrive in dynamic environments. With a strong focus on employee growth, Fractal offers opportunities to work on cutting-edge AI solutions while engaging with Fortune 500 clients in the vibrant setting of Central London. The hybrid work model promotes flexibility, allowing employees to balance in-person collaboration with remote work, all while being part of a team that values imagination and diversity.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (Remote)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio of your AI projects and prototypes. We recommend sharing them on platforms like GitHub or even your own website. This way, potential employers can see your work in action!
✨Tip Number 3
Prepare for those interviews! Research common questions for AI roles and practice your responses. We suggest doing mock interviews with friends or using online resources to boost your confidence.
✨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 are proactive about their job search!
We think you need these skills to ace Senior 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-world scenarios, 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 projects, focus on your ability to conceptualise and iterate on proof-of-concept solutions. Show us how you’ve turned ideas into working prototypes rapidly.
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 get to know you better. Plus, it shows you’re keen on 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 proficient.
✨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 adapted quickly to shifting priorities and how you approach building prototypes without a detailed plan.
✨Showcase Your Prototyping Skills
Be ready to talk about your rapid prototyping experience. Highlight instances where you moved from concept to working prototype swiftly, and don’t shy away from discussing any imperfect code. The focus here is on speed and iteration, so demonstrate your comfort with that process.
✨Engage with Stakeholders
Since you'll be presenting POCs to senior stakeholders, prepare to discuss your experience in this area. Think of examples where you effectively communicated complex AI concepts to non-technical audiences. This will show your ability to bridge the gap between technical and business needs.
