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- Tasks: Lead AI/ML projects to revolutionise investment strategies and trading operations.
- Company: Join a pioneering firm at the cutting edge of AI and machine learning in finance.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving innovation in AI with real-world impact on finance.
- Qualifications: D. or Master's in a relevant field and 7+ years of AI/ML experience required.
- Other info: Mentorship opportunities available for aspiring AI engineers and data scientists.
The predicted salary is between 48000 - 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.
- 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.
Qualifications:
- 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, big data technologies (Spark, Hadoop).
Technical Lead (AI or ML) employer: Aurum Search Limited
Contact Detail:
Aurum Search Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead (AI or ML)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and ML, especially those relevant to finance. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AI and finance sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into the role and company culture.
✨Tip Number 3
Prepare to showcase your technical skills through practical examples. Be ready to discuss specific projects where you've implemented AI/ML solutions, particularly in financial contexts, as this will highlight your hands-on experience.
✨Tip Number 4
Understand the company's investment strategies and how they leverage AI. Tailoring your conversation to align your expertise with their goals can set you apart as a candidate who is not only qualified but also genuinely interested in their mission.
We think you need these skills to ace Technical Lead (AI or ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI and ML, especially in leadership roles. Emphasise your technical skills in Python and relevant frameworks like TensorFlow and PyTorch, as well as your experience with financial applications.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about AI and ML in the finance sector. Mention specific projects or achievements that demonstrate your ability to lead teams and innovate in this field.
Showcase Relevant Projects: Include a section in your application that details specific projects you've worked on related to AI/ML. 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 ensure high performance in real-time data processing.
How to prepare for a job interview at Aurum Search Limited
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with AI and ML technologies in detail. Highlight specific projects where you've designed and implemented machine learning models, especially in financial contexts. This will demonstrate your deep technical knowledge and ability to apply it in real-world scenarios.
✨Understand the Financial Domain
Since the role involves investment strategies, it's crucial to have a solid understanding of financial concepts. Brush up on market forecasting, trading strategies, and how AI can enhance these areas. Being able to speak the language of finance will set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems related to AI/ML systems, such as designing scalable architectures or optimising predictive models. This will showcase your strategic thinking and problem-solving skills, which are essential for a leadership role.
✨Demonstrate Leadership and Mentorship Skills
As a Technical Lead, you'll be expected to mentor a team. Be ready to discuss your leadership style and provide examples of how you've successfully guided teams in the past. Highlight any experience you have in developing talent and fostering innovation within your team.
