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For Companies At a Glance
- Tasks: Lead AI exploration, development, and integration in a fast-paced financial services environment.
- Company: Join a tech-forward organisation on a transformative journey in AI innovation.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be the first AI Engineer, shaping the future of AI across the business with innovative solutions.
- Qualifications: Experience in AI/ML model development, strong Python skills, and a degree in a related field.
- Other info: Collaborate with diverse teams and stay current with AI trends and ethical considerations.
The predicted salary is between 43200 - 72000 £ per year.
My client is embarking on a transformative journey and is seeking their first AI Engineer to lead the exploration, development, and integration of artificial intelligence solutions across the business. This is a rare greenfield opportunity to define how AI can drive automation, efficiency, and enhanced customer experiences in a fast-moving financial services environment.
As the AI Engineer, you will be responsible for identifying high-impact use cases, building proof-of-concepts, and deploying scalable AI models. You’ll work closely with stakeholders across technology, operations, data, and compliance to ensure AI initiatives are innovative, responsible, and aligned with strategic goals.
Key Responsibilities:- Research and prototype AI/ML models to address business challenges (e.g., process automation, predictive analytics, customer service optimisation)
- Develop and deploy machine learning models using modern tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn)
- Collaborate with data engineers to prepare and manage training datasets
- Integrate AI solutions with existing applications and infrastructure
- Partner with stakeholders to understand requirements, identify opportunities, and communicate results clearly
- Stay current with AI trends, tools, and ethical considerations in applied machine learning
- Lay the groundwork for a scalable AI strategy and help build internal capability
- Proven experience developing and deploying AI/ML models in a commercial setting
- Strong programming skills in Python and familiarity with ML libraries and frameworks
- Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning
- Experience working with structured and unstructured data sources
- Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD for ML, cloud deployment)
- Excellent communication and stakeholder engagement skills
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
- Experience in financial services is a plus but not required
- Be the AI pioneer in a tech-forward, ambitious organisation
- Shape the roadmap and vision for how AI is used across the business
- Work in a collaborative environment that values innovation and experimentation
- Hybrid working with flexibility and strong leadership support
- Competitive salary and opportunities for professional growth
Interested in being the first to lead AI innovation at my client’s organisation? Apply now and help shape the future.
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the latest AI trends and tools relevant to the financial services sector. This will not only help you understand the landscape but also allow you to engage in meaningful conversations with stakeholders during interviews.
✨Tip Number 2
Build a portfolio showcasing your AI/ML projects, especially those that demonstrate your ability to solve real business problems. Highlight any proof-of-concept work or models you've developed, as this will set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and financial services fields. Attend industry meetups, webinars, or conferences to connect with potential colleagues and learn about the challenges they face, which can inform your approach in interviews.
✨Tip Number 4
Prepare to discuss how you would approach integrating AI solutions within existing infrastructures. Think about specific examples where you've successfully collaborated with cross-functional teams, as this will demonstrate your stakeholder engagement skills.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML models, programming skills in Python, and familiarity with relevant libraries. Use specific examples from your past work to demonstrate your capabilities.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of the AI Engineer position and mention any relevant projects or achievements.
Showcase Relevant Projects: If you have worked on AI/ML projects, include them in your application. Describe the challenges you faced, the solutions you implemented, and the impact of your work. This will help illustrate your hands-on experience.
Highlight Communication Skills: Since the role involves collaboration with various stakeholders, emphasise your communication and stakeholder engagement skills. Provide examples of how you've successfully communicated complex technical concepts to non-technical audiences.
How to prepare for a job interview at Adria Solutions
✨Showcase Your AI Knowledge
Make sure to brush up on the latest trends and tools in AI and machine learning. Be prepared to discuss specific models you've developed or deployed, and how they addressed business challenges. This will demonstrate your expertise and passion for the field.
✨Prepare for Technical Questions
Expect technical questions related to programming in Python and the use of ML libraries like TensorFlow or PyTorch. Practise coding problems and be ready to explain your thought process clearly. This will help you stand out as a strong candidate.
✨Understand the Business Context
Familiarise yourself with the financial services industry and think about how AI can drive efficiency and enhance customer experiences in this sector. Being able to connect your technical skills to real-world applications will impress your interviewers.
✨Communicate Effectively
Strong communication skills are essential for this role. Practise explaining complex AI concepts in simple terms, as you'll need to collaborate with various stakeholders. Show that you can convey your ideas clearly and engage with non-technical team members.
