Senior Python Developer

Deutsche Bank; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading company in investment banking technology seeks a talented Python engineer to develop cutting-edge AI solutions. You'll lead and innovate in a vibrant environment, utilizing Google's Gemini LLMs to transform application source code into dynamic knowledge. Offering a hybrid working model alongside competitive salary and benefits.

Benefits

Hybrid Working

Competitive salary and non-contributory pension

30 days’ holiday plus bank holidays

Life Assurance and Private Healthcare

Flexible benefits including Retail Discounts

Volunteering leave

Qualifications

• Strong background in Python, ideally in AI/ML and data science.
• Excellent written and verbal communication skills.
• Willingness to learn about vector stores and SQL/Postgres databases.

Responsibilities

• Help design and develop AI solutions leveraging Google's Gemini LLMs.
• Drive innovation through rapid prototyping and development cycles.
• Provide guidance and mentorship to junior team members.

Skills

Python Expertise

Adaptability

Communication

RAG Architecture & Databases

Data Science Context

Job description

We are looking for a talented Python engineer to join a newly formed team in Investment Banking Technology. This role will help develop cutting-edge AI (Artificial Intelligence) solutions leveraging Google's Gemini LLMs and other emergent technology. The first focus for this role will be a new application called CodeMiner, which utilises AI to transform application source code repositories into dynamic knowledge bases. CodeMiner will be transformational in facilitating the understanding of business processes and engineering and will empower faster, smarter decision-making across business and technology teams.

This is a dynamic space with immense opportunity to work with the latest technologies and to help deliver fundamental transformation in the evolution of Deutsche Bank. You will be working alongside the brightest and the best at one of the most exciting inflection points in our history.

What we’ll offer you

A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That’s why we are committed to providing an environment with your development and wellbeing at its centre.

You can expect:

• Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them
• Competitive salary and non-contributory pension
• 30 days’ holiday plus bank holidays, with the option to purchase additional days
• Life Assurance and Private Healthcare for you and your family
• A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits
• The opportunity to support a wide ranging CSR programme + 2 days’ volunteering leave per year

Your key responsibilities

• Help with the design and development of AI solutions leveraging Google’s Gemini LLMs and other available emergent technologies
• Drive innovation through rapid prototyping and iterative development cycles, transforming complex concepts into impactful, production-ready solutions
• Act as a lead for more junior team members providing guidance and technical mentorship
• Collaborate and communicate effectively partnering closely with cross-functional teams, clearly articulating technical ideas and progress

Your skills and experience

• Python Expertise: Strong background in Python, ideally with AI/ML and data science domain experience. Proficiency with libraries such as scikit-learn or equivalents
• Adaptability: Ability to quickly grasp complex concepts, context-switch and drive impactful solutions
• Communication: Excellent written and verbal communication to enable engagement with managerial oversight, peers and subordinates
• RAG Architecture & Databases: Experience or willingness to learn about vector stores and work comfortably with SQL/Postgres databases
• Data Science Context: Understanding clustering algorithms and embedding vectors would be highly advantageous but not a prerequisite

How we’ll support you

• Training and development to help you excel in your career
• Flexible working to assist you balance your personal priorities
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression

About us

Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

About the company

The bank's network spans 58 countries with a large presence in Europe, the Americas and Asia.

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