Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, develop, and deploy AI/ML models to solve real business challenges.
- Company: Join a leading fintech organisation with a hybrid working model in London.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a tangible impact by working on innovative AI solutions in a dynamic environment.
- Qualifications: Experience in AI/ML projects, strong Python skills, and familiarity with cloud platforms.
- Other info: Collaborative team culture with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Robert Half Technology are assisting a market leading financial services (fintech) organisation to recruit an AI Engineer on a contract basis - Hybrid working - London based.
The AI Engineer will join a cross-functional data team to design, develop, and deploy AI/ML models that tackle real business problems - from prediction and automation to customer personalisation and decision intelligence. You will play a hands-on role in taking models from concept to production and shaping best practices across the AI lifecycle.
Role- The AI Engineer will build and deploy scalable machine learning models in a cloud-native environment (AWS, GCP or Azure).
- Collaborate with data engineers, analysts, and product teams to translate business needs into AI-driven solutions.
- Contribute to the development of data pipelines and feature engineering workflows.
- Integrate models into production using APIs, batch jobs, or real-time systems.
- Apply best practices around experimentation, evaluation, versioning, and monitoring.
- Contribute to documentation, knowledge sharing, and process improvements.
- The AI Engineer will have a proven commercial experience delivering AI/ML projects end-to-end in production environments.
- Strong Python skills with hands-on use of ML libraries like Scikit-learn, TensorFlow, PyTorch, or Hugging Face.
- Solid understanding of machine learning fundamentals and performance evaluation techniques.
- Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI).
- Comfortable working independently and delivering high-quality work to tight timelines.
- Experience working in fast-paced environments or scale-up settings.
Market leading financial services (fintech) organisation with offices in London. Hybrid working - London based. Initial 6 month contract.
Salary & BenefitsThe salary range/rates of pay is dependent upon your experience, qualifications or training.
AI Engineer employer: Robert Half Limited
Contact Detail:
Robert Half Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the fintech space, especially those working with AI. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects. Whether it’s on GitHub or a personal website, let your work speak for itself.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common AI-related questions and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Engineer role. Highlight your experience with AI/ML projects and any relevant cloud platforms like AWS, GCP, or Azure. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific examples of AI/ML models you've built and deployed. Talk about the impact they had on business problems. This helps us understand your hands-on experience and how you can contribute to our team.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
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 the role. Plus, it shows you're keen on joining our awesome team!
How to prepare for a job interview at Robert Half Limited
✨Know Your Tech Stack
Make sure you’re well-versed in the specific technologies mentioned in the job description, like Python and ML libraries such as Scikit-learn or TensorFlow. Brush up on your cloud platform knowledge too, whether it’s AWS, GCP, or Azure, as this will show you’re ready to hit the ground running.
✨Showcase Your Projects
Prepare to discuss your previous AI/ML projects in detail. Be ready to explain the challenges you faced, how you overcame them, and the impact your work had. This not only demonstrates your technical skills but also your problem-solving abilities.
✨Understand the Business Context
Since you’ll be working in a fintech environment, it’s crucial to understand how AI can solve real business problems. Research the company’s products and think about how your skills can contribute to customer personalisation or decision intelligence.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. This could be about their current AI projects, team dynamics, or how they measure success in AI initiatives. It shows your genuine interest and helps you gauge if the company is the right fit for you.
