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- Tasks: Lead AI innovation in investment strategies and develop advanced machine learning solutions.
- Company: Join a pioneering firm using AI to revolutionise investment decision-making.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be at the forefront of AI technology while collaborating with top-tier professionals in finance.
- Qualifications: Ph.D. or Master's in a relevant field with 7+ years of AI/ML experience required.
- Other info: Mentorship opportunities available for aspiring AI engineers and data scientists.
The predicted salary is between 54000 - 84000 £ per year.
Our client is at the forefront of leveraging cutting-edge artificial intelligence and machine learning technologies to drive investment strategies and generate alpha. We are seeking an exceptional AI Tech Lead to spearhead the technological innovation and AI implementation across quantitative research and trading operations.
The AI Tech Lead will be responsible for designing, developing, and implementing advanced AI solutions that transform our investment decision-making processes. This role requires a unique blend of deep technical expertise, strategic thinking, and financial domain knowledge.
Key Responsibilities- Lead the architectural design and implementation of AI/ML systems for quantitative trading and investment research.
- Develop and maintain sophisticated machine learning models for predictive analytics, market forecasting, and trading strategy optimization.
- Architect scalable and high-performance AI infrastructure capable of processing vast amounts of financial data in real-time.
- Collaborate closely with quantitative researchers, data scientists, and trading teams to translate complex financial insights into actionable AI solutions.
- Implement robust machine learning pipelines for data preprocessing, model training, validation, and deployment.
- Ensure the highest standards of model interpretability, explainability, and risk management.
- Drive innovation in AI technologies, including large language models, deep learning, and advanced predictive algorithms.
- Mentor and develop a team of AI engineers and data scientists.
- Evaluate and integrate emerging AI technologies and research into existing systems.
- Ph.D. or Master's degree in Computer Science, Machine Learning, Statistics, or a related quantitative field.
- 7+ years of experience in AI/ML development, with at least 3 years in a leadership role.
- Extensive experience in building production-grade machine learning systems.
- Strong programming skills in Python, with expertise in ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Proven track record of developing predictive models for financial applications.
- Deep understanding of machine learning algorithms, statistical modeling, and data processing techniques.
- Experience with cloud computing platforms (AWS, GCP, Azure).
- Excellent understanding of distributed computing and big data technologies.
- Advanced machine learning and deep learning techniques.
- Natural language processing.
- Time series analysis and forecasting.
- Reinforcement learning.
- Big data technologies (Spark, Hadoop).
- Cloud infrastructure and containerization (Docker, Kubernetes).
- Version control and CI/CD practices.
AI Technical Lead employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Technical Lead
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning, especially those relevant to finance. This will not only help you understand the industry better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the AI and finance sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues and learn about the latest trends and challenges in AI applications for investment strategies.
✨Tip Number 3
Showcase your leadership skills by discussing past experiences where you've led AI projects or teams. Be prepared to share specific examples of how you drove innovation and mentored others in your previous roles.
✨Tip Number 4
Prepare to discuss your technical expertise in programming languages and frameworks mentioned in the job description. Being able to articulate your experience with Python, TensorFlow, and other tools will demonstrate your readiness for the role.
We think you need these skills to ace AI Technical Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI/ML development, especially any leadership roles. Emphasise your technical skills in Python and relevant frameworks like TensorFlow and PyTorch, as well as your understanding of financial applications.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI technologies and how your background aligns with the company's mission. Mention specific projects where you've led AI implementations or developed predictive models, showcasing your strategic thinking and technical expertise.
Showcase Relevant Projects: Include a section in your application that details specific projects you've worked on related to AI and machine learning. Highlight your role, the technologies used, and the impact these projects had on investment strategies or trading operations.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, model interpretability, and cloud computing. Be ready to discuss your approach to building scalable AI systems and how you mentor teams, as these are key aspects of the role.
How to prepare for a job interview at Aurum Search Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI/ML development in detail. Highlight specific projects where you've designed and implemented machine learning models, especially those relevant to financial applications. This will demonstrate your deep technical expertise and understanding of the field.
✨Demonstrate Strategic Thinking
During the interview, articulate how you approach problem-solving and decision-making in a strategic context. Discuss how you've led teams in developing AI solutions that align with business goals, particularly in quantitative trading and investment research.
✨Prepare for Technical Questions
Expect to face technical questions related to machine learning algorithms, data processing techniques, and cloud computing platforms. Brush up on your knowledge of frameworks like TensorFlow and PyTorch, and be ready to explain your thought process behind model selection and implementation.
✨Emphasise Collaboration Skills
Since the role involves working closely with quantitative researchers and trading teams, highlight your experience in collaborative environments. Share examples of how you've successfully translated complex financial insights into actionable AI solutions through teamwork.
