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 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, experience in AI engineering, and team leadership.
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 Bolton 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 Bolton
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. Building relationships can open doors that a CV just can’t.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of your AI projects or contributions to open-source initiatives. This gives potential employers a tangible look at what you can do.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how your skills align with the job description and be ready to discuss specific examples from your past work.
✨Apply Through Us!
We’ve got your back! Apply through our website to make sure your application gets the attention it deserves. Plus, we’re always on the lookout for talented individuals like you!
We think you need these skills to ace Senior AI Engineer Manager/Associate Director Capital Markets in Bolton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Engineer Manager. Highlight your experience with AI engineering, Python, SQL, and any relevant projects that showcase your skills in capital markets.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share specific examples of how you've led teams or delivered AI solutions in complex environments, and don’t forget to mention your passion for AI!
Showcase Your Technical Skills:We want to see your technical prowess! Include details about your experience with LLMs, vector databases, and cloud platforms like AWS or Azure. The more specific you are, the better we can understand your capabilities.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
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 compliance.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company’s AI strategy and future projects. Inquire about their current challenges in AI implementation or how they envision the role evolving. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
