AI Engineer 

Salary: £65,000

We are partnering with a forward-thinking consulting firm that is seeking an AI Engineer to join their expanding Data & Analytics team. This is an exciting opportunity to work on innovative AI-driven projects, leveraging cutting-edge technology to solve complex business challenges across various industries.

As an AI Engineer, you will collaborate with clients to design and implement AI solutions tailored to their needs. You will apply expertise in machine learning, advanced analytics, and AI frameworks to develop intelligent applications that drive business value. Your role will involve staying ahead of emerging AI trends, optimising AI models, and working with cloud-based solutions to deploy scalable AI systems.

What You’ll Need:

• A Bachelor's degree in Computer Science, Engineering, Statistics, or a related field, with a focus on AI or Machine Learning.
• Relevant industry experience in AI, Machine Learning, or Advanced Analytics.
• A strong passion for AI, demonstrated through projects, research, or work experience.
• Hands-on experience in developing and deploying AI solutions in a business environment.
• Proficiency in Python and familiarity with AI frameworks and libraries such as Pandas, NumPy, PyTorch, Scikit-Learn, Streamlit, and SciPy.
• Strong understanding of software development principles, AI engineering, and MLOps.
• Experience working with cloud-based AI solutions on platforms like Microsoft Azure, AWS, or GCP.
• Excellent problem-solving skills, with the ability to apply statistical techniques and machine learning algorithms effectively.
• Strong communication and teamwork skills to collaborate effectively in a dynamic environment.

What’s on Offer:

• Career Growth & Learning – Access to tailored learning opportunities, including certifications, advanced courses, and leadership training.
• International Exposure – Work on global projects in a diverse, fast-paced environment with opportunities for travel.
• Competitive Compensation & Benefits – Regular salary reviews, performance bonuses, additional paid leave for professional development, and comprehensive health and travel insurance.
• Flexible Work Environment – Hybrid work model, flexible hours, and remote working options to support work-life balance.
• Supportive & Inclusive Culture – A diverse team that values collaboration, mentorship, and professional growth.

Key Responsibilities:

• Develop and implement AI and machine learning solutions to address business challenges.
• Utilise expertise in Natural Language Processing, Computer Vision, and advanced analytics to create AI-driven applications.
• Stay up to date with emerging AI trends, ensuring the adoption of best practices and innovative approaches.
• Collaborate with stakeholders to define AI requirements and deliver impactful solutions.
• Build and deploy AI models using industry-leading frameworks and cloud platforms (Azure, AWS, GCP).
• Apply MLOps principles and software engineering best practices to develop scalable AI applications.
• Work alongside cross-functional teams to integrate AI solutions into business operations.

Reference: WILL#removed#/MB

INDIT