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For Companies At a Glance
- Tasks: Join a data team to design and deploy AI/ML models for real business challenges.
- Company: Work with a leading fintech organisation in London, known for innovation and growth.
- Benefits: Enjoy hybrid working options and competitive pay based on your experience.
- Why this job: Be part of a dynamic team shaping the future of finance through AI technology.
- Qualifications: Strong Python skills and experience with ML libraries and cloud platforms required.
- Other info: Initial 6-month contract with opportunities for growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
Job Description
Robert Half Technology are assisting a market-leading pharmaceuticals organisation to recruit an AI Engineer on a contract basis. Outside IR35. Hybrid working – London based.
Role The AI Engineer will design, develop, and implement AI and machine learning solutions to support data-driven decision-making and business innovation in pharmaceuticals. Collaborate with data scientists, data engineers, and business analysts to build scalable AI models for research, development, and commercial operations. * Develop, test, and optimise machine learning algorithms and predictive models relevant to pharmaceutical data.
Integrate AI models with existing data pipelines, laboratory systems, and business applications. Ensure the reliability, scalability, and performance of AI systems across multiple platforms. * Maintain clear documentation and contribute to best practices in model governance, regulatory compliance, and MLOps.
Stay abreast of industry trends and emerging technologies in artificial intelligence and pharmaceuticals, continuously enhancing technical expertise. Profile The AI Engineer will have proven experience developing and deploying machine learning models in a commercial or scientific environment. * Proficient in Python and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.
Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context. Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets. * Excellent problem-solving and analytical skills, with a keen eye for accuracy and performance optimisation.
Strong communication and collaboration skills, with the ability to work effectively across technical and business teams. Company Market-leading pharmaceuticals organisation with offices in London. * Hybrid working – two days per week on site.
Salary
AI Engineer employer: Robert Half
Contact Detail:
Robert Half Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Familiarise yourself with the specific AI/ML tools and libraries mentioned in the job description, such as Scikit-learn, TensorFlow, and PyTorch. Having hands-on experience with these will not only boost your confidence but also demonstrate your technical capabilities during discussions.
✨Tip Number 2
Showcase your experience with cloud platforms like AWS, GCP, or Azure by preparing examples of past projects where you deployed machine learning models. Be ready to discuss how you integrated these models into production environments.
✨Tip Number 3
Brush up on your understanding of MLOps tools such as MLflow or SageMaker. Being able to speak about best practices in model versioning, monitoring, and evaluation will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your approach to collaboration within cross-functional teams. Highlight any experiences where you translated business needs into AI-driven solutions, as this is a key aspect of the role.
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 projects, particularly those that demonstrate your ability to take models from concept to production. Include specific examples of your work with Python and relevant libraries like Scikit-learn or TensorFlow.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the fintech industry. Discuss how your skills align with the job requirements, especially your experience in cloud platforms and MLOps tools. Be sure to mention any collaborative projects you've worked on.
Showcase Relevant Projects: If you have a portfolio or GitHub repository, include links to projects that showcase your AI/ML capabilities. Highlight any scalable machine learning models you've built and deployed, as well as your contributions to data pipelines and feature engineering workflows.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. Ensure that your application is clear, concise, and free of jargon that may not be understood by all reviewers.
How to prepare for a job interview at Robert Half
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and the ML libraries mentioned in the job description, such as Scikit-learn, TensorFlow, or PyTorch. Bring examples of projects where you've successfully implemented these technologies.
✨Understand the Business Context
Research the fintech industry and understand how AI can solve real business problems. Be ready to discuss how your skills can contribute to customer personalisation and decision intelligence within the company.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, prepare to share examples of how you've collaborated with data engineers, analysts, or product teams in the past. Highlight your ability to translate business needs into AI-driven solutions.
✨Familiarise Yourself with Cloud Platforms
Make sure you have a solid understanding of cloud platforms like AWS, GCP, or Azure, and MLOps tools. Be ready to discuss your experience with deploying models in a cloud-native environment and any relevant projects you've worked on.
