At a Glance
- Tasks: Lead AI strategy and deliver innovative solutions in financial services.
- Company: Join a top recruitment agency in the analytics field.
- Benefits: Competitive pay, hybrid work, and opportunities for professional growth.
- Other info: Exciting referral schemes and a collaborative, high-performing culture.
- Why this job: Make a real impact on AI transformation in complex environments.
- Qualifications: Strong background in AI engineering and team leadership required.
The predicted salary is between 80000 - 100000 € per year.
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.
- 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
- 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 is required, along with an applied AI engineering, ML engineering or software engineering background. Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning is essential, as well as experience with vector databases such as Pinecone, Chroma or similar. Knowledge of MLOps, LLMOps, CI/CD or production deployment practices is also necessary.
Experience designing or supporting evaluation frameworks for AI or agentic systems, working with modern data architectures and cloud platforms, and understanding of AI risk, governance, security and regulatory considerations is important. Financial services experience within capital markets or broader banking environments is preferred.
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.
Locations
Senior AI Engineer Manager/Associate Director Capital Markets in Cheshire, Warrington employer: Datatech Analytics
At Datatech, we pride ourselves on being an exceptional employer, offering a dynamic hybrid work environment that fosters collaboration and innovation in the rapidly evolving field of AI within capital markets. Our commitment to employee growth is evident through our mentoring programmes and opportunities to lead high-impact projects, ensuring that you can develop your skills while making a meaningful contribution to the financial services sector. Join us to be part of a forward-thinking team that values diversity, creativity, and the pursuit of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director Capital Markets in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the capital markets and AI space. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to financial services. Whether it’s prototypes or production-ready solutions, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with LLMs, prompt engineering, and cloud platforms. Practice common interview questions and think about how you can demonstrate your leadership and team collaboration skills.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, if you refer a friend who gets placed, you could snag some sweet rewards. So, get involved and let’s make great things happen together!
We think you need these skills to ace Senior AI Engineer Manager/Associate Director Capital Markets in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior AI Engineer Manager role. Highlight your background in AI engineering, enterprise solutions, and any relevant financial services experience to catch our eye!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in capital markets and how your expertise can help us tackle complex challenges. Keep it engaging and personal!
Showcase Your Projects:If you've worked on AI prototypes or solutions, don’t hold back! Share specific examples of your projects, especially those involving LLMs, vector databases, or cloud platforms. We love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s quick and easy, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at Datatech Analytics
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI engineering, especially in the context of capital markets. Be ready to discuss your experience with LLMs, prompt engineering, and how you've tackled complex operational challenges using AI solutions.
✨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, fostered collaboration, and driven high performance in previous roles.
✨Understand the Business Side
It's crucial to connect your technical expertise with business outcomes. Be prepared to discuss how your AI solutions have impacted financial services or capital markets, and how you can help organisations navigate regulatory challenges.
✨Get Familiar with the Tools
Since you'll be working with cloud platforms like AWS, Azure, or GCP, make sure you're comfortable discussing your experience with these technologies. Highlight any projects where you've implemented CI/CD practices or worked with vector databases.
