At a Glance
- Tasks: Design and build AI systems for trading strategies and market intelligence.
- Company: Join a cutting-edge company revolutionising trading with AI technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on collaboration and creativity.
- Why this job: Be at the forefront of AI innovation in a fast-paced environment.
- Qualifications: 5+ years in data science or ML engineering with strong Python skills.
The predicted salary is between 80000 - 98000 £ per year.
Quantum is building an AI-driven trading platform that generates, tests, and deploys sophisticated trading strategies across digital and traditional markets. We are looking for a hands-on Senior AI Research Engineer to help design and evolve the AI systems powering the platform. The role sits at the intersection of applied AI research and software engineering, taking ideas from research through to reliable production systems. This is not a traditional data science role. You will work across the full stack and should enjoy building AI-native systems in fast-moving, early-stage environments.
Key Responsibilities
- Design, build, and ship LLM-driven and multi-agent systems for strategy generation, market intelligence, and quantitative research.
- Develop evaluation, experimentation, and monitoring frameworks for models and agents in production.
- Contribute to AI infrastructure, inference serving, and data pipelines across the platform.
- Research and evaluate emerging AI techniques, models, and architectures relevant to the platform.
- Improve model robustness, inference performance, and operational reliability.
Key Skills and Experience
- 5+ years in data science or ML engineering, with recent applied AI / LLM experience.
- Strong Python and modern AI stack: PyTorch, Hugging Face, LLM serving (vLLM, SGLang), agent frameworks (OpenAI Agents SDK, LangGraph), and provider APIs (OpenAI, Anthropic).
- Track record building and deploying production AI/ML systems, with strong evaluation harness design (agent trajectories, LLM-as-a-judge, trace and error analysis).
- Hands-on with open-source LLM fine-tuning (SFT, LoRA, QLoRA, DPO, GRPO) and libraries such as TRL, Axolotl, or Unsloth.
- Comfortable across the software stack: Docker, Kubernetes, Azure, microservices.
- Numerate background, ideally an MSc in a quantitative subject (Maths, Physics, Computer Science, Engineering).
Preferred
- Shipped LLMs or agentic workflows into production.
- Experience with financial datasets or quantitative research environments.
- Familiarity with LLM observability and experiment tracking (Weights & Biases, LangSmith, Langfuse, MLflow).
- Familiarity with RAG and vector databases (pgvector, Pinecone, Weaviate).
Senior AI Research Engineer in City of London employer: Quantum Technology Solutions Inc
At Quantum, we pride ourselves on being an innovative employer that fosters a dynamic and collaborative work culture. As a Senior AI Research Engineer, you will have the opportunity to work at the forefront of AI technology in a fast-paced environment, with ample opportunities for professional growth and development. Our commitment to employee well-being is reflected in our supportive atmosphere and the unique chance to contribute to cutting-edge projects that shape the future of trading.
Contact Details:
Quantum Technology Solutions Inc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Research Engineer in City of London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Quantum Technology Solutions Inc!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior AI Research Engineer at Quantum Technology Solutions Inc.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quantum Technology Solutions Inc.
✨Apply Directly through Our Website
When you find a suitable opening like Senior AI Research Engineer at Quantum Technology Solutions Inc, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior AI Research Engineer in City of 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Quantum Technology Solutions Inc, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quantum Technology Solutions Inc. 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!
How to prepare for a job interview at Quantum Technology Solutions Inc
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Quantum Technology Solutions Inc!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
