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- Tasks: Lead the development of AI solutions using Python to transform financial services.
- Company: Join a dynamic team at the forefront of AI and machine learning innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by revolutionising client engagement through cutting-edge technology.
- Qualifications: Experience in software engineering, Python, and building AI solutions required.
- Other info: Collaborative environment with excellent career advancement opportunities.
The predicted salary is between 48000 - 72000 £ per year.
Revolutionize private sector use of artificial intelligence and machine learning technologies. As the AI/ML Lead within our dynamic team of innovators and technologists, you will revolutionize how the Private Bank services and advises clients, deepen client engagements, and promote process transformation. You will lead efforts to analyze existing processes and vast amounts of data to design autonomous AI agents, leveraging advanced data analysis, statistical modeling, and AI/ML techniques to solve complex business challenges through high-quality, cloud-centric software delivery.
Job Responsibilities:
- Lead the development and implementation of GenAI and Agentic AI solutions using Python to enhance automation and decision-making processes.
- Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain.
- Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
- Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.
- Communicate effectively with both technical and non-technical stakeholders, including senior leadership.
- Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
- Develop and maintain tools and frameworks for prompt-based model training, evaluation, and optimization.
- Analyze and interpret data to evaluate model performance and identify areas of improvement.
Required qualifications, capabilities, and skills:
- Formal training or certification on software engineering concepts and applied experience.
- Hands-on experience in building Agentic AI solutions.
- Familiarity with LLM orchestration and agentic AI libraries.
- Strong programming skills in Python with experience in PyTorch or TensorFlow.
- Experience building data pipelines for both structured and unstructured data processing.
- Experience in developing APIs and integrating NLP or LLM models into software applications.
- Hands-on experience with cloud platforms (AWS or Azure) for AI/ML deployment and data processing.
- Excellent problem-solving skills and the ability to communicate ideas and results to stakeholders and leadership in a clear and concise manner.
- Basic knowledge of deployment processes, including experience with GIT and version control systems.
- Hands-on experience with MLOps tools and practices, ensuring seamless integration of machine learning models into production environments.
Preferred Qualifications, Capabilities, and Skills:
- Familiarity with model fine-tuning techniques.
- Knowledge of financial products and services, including banking, investment, and risk management.
Lead Software Engineer - Python and AIML in Glasgow employer: Jpmorgan Chase & Co.
Contact Detail:
Jpmorgan Chase & Co. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Software Engineer - Python and AIML in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and AI/ML. This is your chance to demonstrate your expertise and passion for the field, making you stand out to employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI/ML. Practice explaining your thought process clearly, as communication is key when dealing with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead Software Engineer - Python and AIML in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead Software Engineer role. Highlight your Python expertise, AI/ML projects, and any relevant cloud experience. We want to see how you can revolutionise our approach!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background aligns with our mission at StudySmarter. Let us know how you can contribute to transforming the private sector.
Showcase Your Projects: If you've worked on any cool AI/ML projects, make sure to mention them! Whether it's building data pipelines or developing APIs, we love seeing real-world applications of your skills. Share links or descriptions to give us a taste of your work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our innovative team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, PyTorch, and TensorFlow. Brush up on your knowledge of Agentic AI solutions and LLM orchestration. Being able to discuss your hands-on experience confidently will impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex business challenges using AI/ML techniques. Be ready to explain your thought process and the impact of your solutions. This will demonstrate your analytical skills and ability to think critically.
✨Communicate Like a Pro
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being clear and concise is key. Consider role-playing with a friend to refine your delivery.
✨Research the Company and Its Needs
Understand the company’s approach to AI/ML in the financial services sector. Familiarise yourself with their products and services, and think about how your skills can help them achieve their goals. Tailoring your responses to their specific needs will set you apart.
