At a Glance
- Tasks: Lead AI projects and develop innovative solutions in financial services.
- Company: Join a top recruitment agency in the analytics field.
- Benefits: Competitive salary, hybrid work, and opportunities for professional growth.
- Other info: Collaborative environment with mentoring and high-impact projects.
- Why this job: Shape AI strategy and make a real impact in capital markets.
- Qualifications: Strong Python and SQL skills with AI engineering experience.
The predicted salary is between 70000 - 90000 € 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 Warrington 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 Manchester. Our commitment to employee growth is evident through our mentoring programmes and opportunities to lead high-impact AI projects within the financial services sector. With a hybrid working model and competitive compensation aligned to experience, we provide a supportive environment where talented professionals can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director Capital Markets in Warrington
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the capital markets space. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a tangible sense of what you can bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how your skills in Python, SQL, and AI engineering can solve real-world problems in capital markets. Confidence is key!
✨Apply Through Us
We’ve got your back! Apply through our website for this role and let us help you land that dream job. Plus, if you know someone else who fits the bill, refer them and earn some sweet rewards!
We think you need these skills to ace Senior AI Engineer Manager/Associate Director Capital Markets in Warrington
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 financial services. 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 capital markets 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! We’re interested in your hands-on experience, especially with LLMs, prompt engineering, and cloud platforms. Share specific examples that demonstrate your expertise and impact.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re keen to join the StudySmarter family!
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 dive deep into technical discussions during your interview. Brush up on Python, SQL, and your experience with cloud platforms like AWS or Azure. Be ready to explain your thought process when designing end-to-end AI solutions and how you handle challenges related to data privacy and regulatory risks.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the role and the company. Ask about their current AI initiatives, team dynamics, or how they approach AI governance and security. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
