At a Glance
- Tasks: Design and deploy cutting-edge AI systems for trading strategies and market intelligence.
- Company: Innovative tech firm transforming institutional trading with AI.
- Benefits: Competitive salary, bonus, private healthcare, hybrid working, and equity opportunities.
- Other info: Collaborate with top talent and enjoy limitless career growth.
- Why this job: Join a pioneering team and shape the future of AI in trading.
- Qualifications: Strong experience in AI Engineering and Python development.
The predicted salary is between 130000 - 180000 £ per year.
Shape the Future of AI-Powered Trading
We're partnering with an exceptionally well-funded technology business on a mission to transform how institutional trading firms, hedge funds and financial organisations research, design and execute trading strategies.
Having built a sophisticated AI-powered trading platform and reached a critical stage in its evolution, the business is now investing heavily in its next phase of growth.
This is a rare opportunity to join at an early stage, influence the direction of a genuinely innovative product and work on some of the most exciting challenges in applied AI today.
If you're motivated by cutting-edge AI, complex technical problems and the opportunity to build products that deliver real-world impact, this could be the role you've been waiting for.
The Opportunity
As a Senior AI Research Engineer, you'll sit at the intersection of advanced AI research and software engineering, helping to design, build and deploy intelligent systems that power the next generation of trading and research workflows.
This is far more than a traditional Machine Learning or Data Science position.
We're looking for someone who thrives on turning research concepts into production-ready systems, enjoys experimenting with emerging AI technologies and wants to own meaningful product areas from idea through to deployment.
You'll join a highly talented team where innovation, autonomy and technical excellence are genuinely valued, and where your work will have a direct influence on both the platform and wider business strategy.
- What You'll Be Doing
- Designing and deploying LLM-powered and agentic AI systems for strategy generation, market intelligence and quantitative research.
- Building evaluation, experimentation and monitoring frameworks to improve model performance and reliability.
- Enhancing existing AI capabilities while developing entirely new AI-driven features and products.
- Developing production-grade AI infrastructure, inference services and data pipelines.
- Researching, testing and implementing the latest AI models, techniques and architectures.
- Improving model robustness, scalability, observability and operational performance.
- Collaborating with engineers, product leaders and quantitative specialists to deliver innovative solutions at scale.
- Helping shape the future direction of AI across the organisation.
What We're Looking For
Essential
- Strong commercial experience in AI Engineering, Machine Learning Engineering or Applied AI.
- Proven track record of building and shipping AI-powered products into production environments.
- Hands-on experience with LLMs, Generative AI and/or Agentic AI systems.
- Excellent Python development skills.
- Strong experience with modern AI frameworks and tooling such as Py Torch, Hugging Face and leading foundation model providers.
- A research-led mindset combined with the ability to execute and deliver commercially valuable solutions.
- Strong engineering fundamentals and the ability to take ownership of complex technical challenges.
- Comfortable working in fast-paced, evolving environments where ambiguity is often part of the journey.
Desirable
- Ph D or advanced academic research background.
- Experience fine-tuning open-source LLMs.
- Knowledge of AI evaluation frameworks and observability tooling.
- Experience with cloud-native technologies, Kubernetes and modern distributed systems.
- Exposure to quantitative finance, trading or financial markets.
Finance experience is not essential.
Why Join?
Work on Genuinely Cutting-Edge AI
AI sits at the core of the business strategy, not on the sidelines.
You'll be solving challenging real-world problems using the latest advancements in LLMs, agents and intelligent systems.
Build in a True Greenfield Environment
This is an opportunity to influence architecture, tooling, product direction and technical standards from an early stage.
High Levels of Ownership
You'll have the freedom to make decisions, drive initiatives and see your ideas become reality in a business that values entrepreneurial thinking.
Career Growth Without Limits
Rather than fitting into a rigid corporate structure, you'll have the opportunity to shape your own path as the company scales.
Learn From a High-Calibre Team
Work alongside experienced engineers, AI specialists, quantitative researchers and leadership who are building a genuinely innovative platform.
Real Business Impact
Your work won't sit in research papers or proof-of-concepts. You'll be building AI systems that directly influence products, users and commercial outcomes.
Package
- 20% Target Annual Bonus
- Private Healthcare
- Hybrid Working (3 Days London Office / 2 Days Remote)
- Future Equity Opportunity
- Direct Access to Founders and Senior Leadership
- Significant Scope for Career Progression
- Opportunity to Influence Product, Technology and Business Strategy
- #J-18808-Ljbffr
Senior AI Engineer employer: KDR Talent Solutions UK
Join a dynamic and innovative technology company in Warrington, where you will have the opportunity to work on cutting-edge warehouse robotics and automation solutions. With a strong emphasis on employee growth and a flat organisational structure, you will enjoy complete ownership of your projects and the chance to rapidly deliver impactful software without the constraints of corporate bureaucracy. The company fosters a collaborative work culture, offering mentorship opportunities and the flexibility to develop your skills in both back-end and front-end technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
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We think you need these skills to ace Senior AI Engineer
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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Craft a Tailored Cover Letter:For a full-time role at KDR Talent Solutions UK, 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 KDR Talent Solutions UK. 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 KDR Talent Solutions UK
✨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!
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✨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 KDR Talent Solutions UK!
✨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.
