At a Glance
- Tasks: Lead AI projects and develop innovative solutions in the financial services sector.
- Company: Join a forward-thinking company at the forefront of AI in capital markets.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with leadership opportunities and a focus on team development.
- Why this job: Make a significant impact on AI transformation in complex financial environments.
- Qualifications: Strong Python and SQL skills, with experience in AI engineering and cloud platforms.
The predicted salary is between 80000 - 100000 £ per year.
This role requires senior AI engineering professionals to design, build, and deliver advanced AI solutions within financial services and capital markets environments. The successful candidate will shape AI strategy, lead teams, and deliver enterprise AI solutions that address complex operational, technical, and regulatory challenges at scale.
Responsibilities
- Build and deploy AI prototypes, products, and production‑ready solutions.
- Design and implement end‑to‑end AI solutions that integrate with enterprise systems.
- Work with large language models, prompt engineering, RAG patterns, embeddings, and fine‑tuning.
- Develop AI agents and agentic workflows using modern frameworks.
- Use vector databases, APIs, and modern data platforms.
- Support AI deployment, serving patterns, evaluation frameworks, and integration design.
- Use Python and SQL to build robust, scalable AI and data solutions.
- Work with cloud platforms such as AWS, Azure, GCP, or Databricks.
- Support MLOps, LLMOps, CI/CD, and software engineering best practices.
- Collaborate with technical and non‑technical stakeholders across complex programmes.
- Identify technical, delivery, security, data privacy, and regulatory risks.
- Contribute to technical documentation, solution design, and delivery planning.
- Support AI implementation and scaling initiatives across complex environments.
- Lead and develop teams, fostering capability growth through mentoring, coaching, and creating a high‑performing environment.
Qualifications
- 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 in Manchester employer: Energy Jobline ZR
As a leading employer in the financial services sector, we offer an exciting opportunity for Senior AI Engineer Managers/Associate Directors to thrive in a dynamic and innovative environment in Manchester. Our hybrid working model promotes a healthy work-life balance, 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 part of a collaborative culture that values creativity and excellence, where you can make a significant impact on transformative AI solutions in capital markets.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director Capital Markets in Manchester
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the capital markets and AI space. Attend meetups, webinars, or industry events to make those valuable connections that could lead to your next big opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, SQL, and AI frameworks, as well as how you've led teams and tackled complex challenges in previous roles.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and submit your application to join our team at StudySmarter!
We think you need these skills to ace Senior AI Engineer Manager/Associate Director Capital Markets in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role. Highlight your experience with AI engineering, Python, and SQL, and don’t forget to mention any relevant projects in capital markets. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about AI in financial services and how you can contribute to our team. Be genuine and let your personality come through – we love that!
Showcase Your Projects:If you've worked on any cool AI prototypes or solutions, make sure to include them in your application. We’re keen to see your hands-on experience, especially with LLMs and modern data platforms. It’s all about demonstrating your expertise!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at StudySmarter!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially around LLMs, embeddings, and prompt engineering. Be ready to discuss specific projects where you've designed and deployed AI solutions, as this will show your hands-on experience.
✨Showcase Your Leadership Skills
As a Senior AI Engineer Manager, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've mentored others or fostered a high-performing environment in previous roles. This will highlight your capability to manage and develop talent.
✨Understand the Financial Landscape
Since this role is within capital markets, it's crucial to have a grasp of the financial services sector. Familiarise yourself with current trends and challenges in the industry, and be prepared to discuss how AI can address these issues.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Brush up on Python, SQL, and any relevant frameworks like FastAPI. Be ready to solve problems on the spot or explain your thought process when tackling complex AI challenges.
