At a Glance
- Tasks: Lead AI projects, design solutions, and collaborate with diverse teams in financial services.
- Company: Join a top recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career growth and mentoring opportunities.
- Why this job: Shape AI strategy and make a real impact in capital markets.
- Qualifications: Strong Python and SQL skills, experience in AI engineering, and team leadership.
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.
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 in Slough employer: Datatech Analytics
At Datatech, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. 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 a Senior AI Engineer Manager. Join us to be part of transformative AI projects in the financial services sector, where your contributions will make a significant impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director Capital Markets in Slough
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to AI and capital markets. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
Create a portfolio showcasing your AI projects, especially those relevant to financial services. Whether it's prototypes or production-ready solutions, having tangible examples of your work can really impress potential employers.
✨Ace the Interview
Prepare for technical interviews by brushing up on Python, SQL, and AI concepts. Practice explaining your thought process clearly, as communication is key when working with multidisciplinary teams. Remember, they want to see how you think!
✨Apply Through Us!
Don’t forget to check out our website for the latest job openings. Applying through us not only gives you access to exclusive roles but also connects you with recruiters who understand your skills and can advocate for you.
We think you need these skills to ace Senior AI Engineer Manager/Associate Director Capital Markets in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior AI Engineer Manager role. Highlight your experience with AI engineering, Python, SQL, and any relevant projects you've worked on 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 explain why you're passionate about AI in financial services and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Projects:If you've worked on any AI prototypes or solutions, make sure to mention them in your application. We’re interested in seeing how you've tackled complex challenges and delivered results. Include links or descriptions that demonstrate your impact!
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, you’ll find all the details you need about the role and our company culture there!
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 financial services. Be ready to discuss your experience with LLMs, prompt engineering, and any relevant frameworks like LangChain or LangGraph. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Leadership Skills
As a Senior AI Engineer Manager, you'll need to demonstrate your ability to lead teams and mentor others. Prepare examples of how you've successfully led projects or developed team capabilities in the past. Highlighting your collaborative approach will resonate well with interviewers looking for someone who can work across multidisciplinary teams.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, SQL, and cloud platforms like AWS or Azure. Brush up on your coding skills and be ready to solve problems on the spot. Practising common coding challenges or discussing your previous projects can help you feel more confident during this part of the interview.
✨Understand the Business Context
Since this role is within capital markets, it’s crucial to understand the business implications of AI solutions. Research current trends in financial services and think about how AI can address operational and regulatory challenges. Being able to connect your technical expertise to real-world applications will set you apart from other candidates.
