At a Glance
- Tasks: Lead teams to design and deliver advanced AI solutions in financial services.
- Company: Join a top recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement and mentoring opportunities.
- Why this job: Shape AI strategy and make a real impact in complex financial environments.
- Qualifications: Strong Python and SQL skills, with experience in AI engineering and team leadership.
The predicted salary is between 70000 - 90000 € per year.
Location: Manchester
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
Experience Required:
- 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: Datatech
At Datatech, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Manchester. Our hybrid working model provides flexibility while our commitment to employee growth through mentoring and coaching ensures that you will thrive in your career as you lead transformative AI initiatives in the financial services sector. Join us to be part of a forward-thinking team that values your expertise and encourages you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director | Capital Markets in Manchester
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even local events related to AI and capital markets. The more people you know, the better your chances of landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your AI projects or contributions. This could be anything from GitHub repositories to case studies that highlight your problem-solving skills in complex environments.
✨Ace the Interview
Prepare for those tricky interview questions by practising with friends or using mock interviews. Focus on articulating your thought process when tackling AI challenges, and don’t forget to ask insightful questions about the company’s AI strategy!
✨Apply Through Us!
We’ve got your back! Apply through our website for the best chance at landing that Senior AI Engineer Manager role. Plus, we love seeing candidates who are proactive and engaged in their job search!
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 reflects the skills and experiences that match the job description. Highlight your Python, SQL, and AI engineering expertise, and don’t forget to mention any relevant projects or achievements that showcase your ability to deliver AI solutions in complex environments.
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 capital markets and how your background makes you the perfect fit for this role. Be specific about your experience with LLMs, prompt engineering, and any leadership roles you've held.
Showcase Your Teamwork Skills:Since collaboration is key in this role, make sure to highlight your experience working with multidisciplinary teams. Share examples of how you’ve successfully collaborated with data scientists, architects, and business stakeholders to deliver AI products.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Datatech
✨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 experience with Python and SQL, as well as any projects you've worked on that relate to AI solutions in financial services.
✨Showcase Your Leadership Skills
Since this role involves leading teams, be prepared to share examples of how you've successfully managed projects or mentored others. Highlight your ability to collaborate with both technical and non-technical stakeholders, as this will be crucial in shaping AI strategies.
✨Understand the Business Context
Familiarise yourself with the capital markets and financial services landscape. Be ready to discuss how AI can solve operational and regulatory challenges in these environments. This shows that you not only have the technical skills but also understand the business implications of your work.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions during your interview. Prepare to explain your approach to building and deploying AI prototypes, as well as your experience with MLOps and CI/CD practices. Practising coding problems or system design questions related to AI can also give you an edge.
