At a Glance
- Tasks: Lead teams to design and deliver advanced AI solutions in financial services.
- Company: Join a leading recruitment agency in the analytics field with a focus on innovation.
- Benefits: Competitive salary, hybrid working, 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 cloud platforms.
The predicted salary is between 80000 - 100000 € per year.
Location: London
Working pattern: Hybrid
Salary: Compensation aligned to experience and seniority
Ref: J13114
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 London 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 London. Our hybrid working model allows for flexibility while providing ample opportunities for professional growth through mentorship and involvement in high-impact AI projects within the financial services sector. Join us to be part of a forward-thinking team that values your expertise and encourages you to shape the future of AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer Manager/Associate Director | Capital Markets in London
✨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; 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 bring to the table.
✨Ace the Interview
Prepare for those tricky interview questions by practising your responses. Think about how your experience with Python, SQL, and AI solutions can solve real-world problems in financial services. Confidence is key!
✨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 top talent like you, so don’t hesitate to reach out!
We think you need these skills to ace Senior AI Engineer Manager/Associate Director | Capital Markets in London
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, and SQL, and don’t forget to mention any relevant projects or achievements that align with the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Talk about your experience in capital markets and how you've successfully led teams in delivering AI solutions.
Showcase Your Technical Skills:Be specific about your technical skills in your application. Mention your experience with LLMs, vector databases, and cloud platforms like AWS or Azure. This will help us see how you can contribute to our team right away!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, we love seeing candidates who take the initiative!
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 past projects and how you've tackled complex challenges in 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. This will show that you're not just technically savvy but also a great leader.
✨Understand the Financial Landscape
Since this role is within capital markets, it’s crucial to have a grasp of the financial services environment. Familiarise yourself with the regulatory challenges and operational complexities that come with AI adoption in finance. This knowledge will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face technical questions related to Python, SQL, and cloud platforms like AWS or Azure. Practice coding problems and be ready to explain your thought process. This will help you demonstrate your problem-solving skills and technical expertise during the interview.
