At a Glance
- Tasks: Lead the design and delivery of advanced AI solutions in financial services.
- Company: Join a leading firm in capital markets with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Shape AI strategy and make a real impact in a dynamic industry.
- Qualifications: Strong background in AI engineering and experience with Python and SQL.
The predicted salary is between 80000 - 100000 £ per year.
Location: London | Manchester | Scotland
Working pattern: Hybrid
Salary: Compensation aligned to experience and seniority
Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale.
You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications.
Key responsibilities:- Building and deploying AI prototypes, products and production ready solutions
- Designing and implementing end to end AI solutions that integrate with enterprise systems
- Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning
- Developing AI agents and agentic workflows using modern frameworks
- Working with vector databases, APIs and modern data platforms
- Supporting AI deployment, serving patterns, evaluation frameworks and integration design
- Using Python and SQL to build robust, scalable AI and data solutions
- Working with cloud platforms such as AWS, Azure, GCP or Databricks
- Supporting MLOps, LLMOps, CI/CD and software engineering best practice
- Collaborating with technical and non-technical stakeholders across complex programmes
- Helping identify technical, delivery, security, data privacy and regulatory risks
- Contributing to technical documentation, solution design and delivery planning
- Supporting AI implementation and scaling initiatives across complex environments
- Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment
- Strong Python and SQL experience
- Applied AI engineering, ML engineering or software engineering background
- Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning
- Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks
- Experience with vector databases such as Pinecone, Chroma or similar
- API development experience, ideally with FastAPI or similar frameworks
- Knowledge of MLOps, LLMOps, CI/CD or production deployment practices
- Experience designing or supporting evaluation frameworks for AI or agentic systems
- Experience working with modern data architectures and cloud platforms
- Understanding of AI risk, governance, security and regulatory considerations
- Financial services experience within capital markets or broader banking environments
This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments.
Senior AI Engineer Manager/Associate Director | Capital Markets employer: Women in Data®
As a leading employer in the financial services sector, we offer Senior AI Engineering professionals the chance to thrive in a dynamic and collaborative work environment across London, Manchester, and Scotland. Our hybrid working model promotes flexibility while our commitment to employee growth through mentoring and coaching ensures that you will develop your skills and advance your career. Join us to be at the forefront of AI innovation, tackling complex challenges and making a meaningful impact in capital markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director | Capital Markets
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd. Don’t forget to share it when applying through our website!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI engineering. Practice explaining your thought process and solutions clearly. We want you to shine and show how you can tackle complex challenges in real-time!
✨Tip Number 4
Follow up after interviews! A simple thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to reiterate why you’re the perfect fit for the team.
We think you need these skills to ace Senior AI Engineer Manager/Associate Director | Capital Markets
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your background in AI engineering, especially any experience with LLMs and cloud platforms, to show us you're a perfect fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in financial services. Share specific examples of how you've led teams or delivered AI solutions in complex environments, as this will help us see your potential impact at StudySmarter.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention your proficiency in Python, SQL, and any relevant frameworks like FastAPI. We want to know how you can contribute to our AI strategy and product delivery.
Apply Through Our Website:We encourage you to apply directly through our website. This not only streamlines the process but also ensures your application gets the attention it deserves. Plus, it’s super easy!
How to prepare for a job interview at Women in Data®
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially around LLMs, prompt engineering, and the frameworks mentioned in the job description. Be ready to discuss your past projects and how you've tackled complex challenges in AI solutions.
✨Showcase Your Leadership Skills
Since this role involves leading teams, be prepared to share examples of how you've successfully managed and developed teams in the past. Highlight your mentoring experiences and how you've fostered a collaborative environment.
✨Understand the Financial Landscape
Familiarise yourself with the capital markets and financial services sector. Be ready to discuss how AI can solve specific operational and regulatory challenges in this field, showing that you understand the industry's unique needs.
✨Prepare for Technical Questions
Expect technical questions related to Python, SQL, and cloud platforms like AWS or Azure. Practice coding problems and be ready to explain your thought process. This will demonstrate your problem-solving skills and technical expertise.
