At a Glance
- Tasks: Design and deliver AI solutions, build agent-based systems, and develop LLM-enabled applications.
- Company: Join a leading tech firm focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work arrangements, and opportunities for professional growth.
- Other info: Collaborative environment with strong focus on career development and cutting-edge projects.
- Why this job: Be at the forefront of AI technology and make a real impact in enterprise environments.
- Qualifications: 10-15 years of experience in Python backend engineering and generative AI applications.
The predicted salary is between 63000 - 77000 £ per year.
We are seeking a Generative AI Scientist to design and deliver agent‑based, AI‑enabled solutions integrated into complex enterprise environments. This is a hands‑on engineering role, focused on building production‑grade AI systems that move beyond experimentation into scalable, secure, and measurable outcomes for our clients.
You’ll work closely with UST’s engineering teams, AI specialists, and business stakeholders to translate high‑value use cases into robust solutions.
What You’ll Be Doing:
- Build Agent‑Based AI Systems
- Design and develop multi‑agent orchestration workflows (supervisor / sub‑agent patterns)
- Implement multi‑step, asynchronous pipelines to solve complex enterprise problems
- Integrate AI workflows into client systems via secure, well‑designed APIs
- Develop LLM‑Enabled Applications
- Deliver end‑to‑end LLM‑powered features in production environments
- Design effective prompting strategies and context management
- Implement structured outputs, validation, and safety guardrails, aligned to responsible AI principles
- Design Retrieval & Data Pipelines (RAG)
- Build and optimise retrieval‑augmented generation (RAG) pipelines
- Work with vector search and similarity retrieval, search and indexing systems, embeddings and content storage, caching strategies for performance and scalability
- Backend & Platform Engineering
- Develop Python‑based backend services (APIs, integrations, orchestration layers)
- Apply strong engineering discipline across testing, observability, and error handling
- Contribute to reusable assets and patterns within UST’s AI ecosystem
- Cloud‑Native Delivery (AWS)
- Deploy and operate scalable solutions on AWS
- Ensure best practices across security and IAM, reliability and performance, CI/CD and environment management
What We’re Looking For:
- Strong experience in Python backend engineering
- Hands‑on delivery of Generative AI / LLM‑based applications
- Experience with agent frameworks (e.g. LangChain, LlamaIndex, or similar)
- Retrieval‑based systems (RAG, vector databases, embeddings)
- APIs, microservices, and asynchronous workflows
- Experience deploying production systems in AWS environments
Nice to Have:
- Experience with multi‑agent architectures
- Exposure to productionising AI systems at scale
- Knowledge of data pipelines, search infrastructure, and platform engineering
If interested, please apply for an immediate discussion with Talent partner.
Generative AI Scientist (Lead II - ML Engineering) in London employer: UST Global
UST is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the role of Generative AI Scientist. With a strong emphasis on employee growth and development, UST offers opportunities to work on cutting-edge AI projects in a supportive environment, balancing onsite collaboration with flexible remote work. The company's commitment to responsible AI principles and its focus on delivering impactful solutions make it an attractive place for professionals seeking meaningful and rewarding careers in the tech industry.
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We think you need these skills to ace Generative AI Scientist (Lead II - ML Engineering) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UST Global. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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