AI Engineer 

Location:London (Hybrid 1 day per week onsite) 

Employment Type:Permanent 

Salary:£65,000 - £85,000 per annum 

Benefits: 

• Private healthcare and dental insurance 

• 25 days annual leave plus bank holidays 

• Pension scheme with up to 8% employer contribution 

• £2,000 annual learning and development budget 

• Season ticket loan 

• Cycle-to-work scheme 

• Annual performance-based bonus 

About the Role: 

Our technology client is seeking a skilledAI Engineerto design and implement advanced AI solutions for their core platform. Youll work on cutting-edge projects that leverage Machine Learning (ML) and Natural Language Processing (NLP) techniques to solve complex, real-world challenges. This is an excellent opportunity for someone passionate about AI and innovation to thrive in a collaborative and fast-paced environment. 

Key Responsibilities: 

• Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling. 

• Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions. 

• Collaborate with engineering teams to integrate AI models into existing systems, ensuring seamless performance and scalability. 

• Work closely with cross-functional teams, including product managers and domain experts, to identify and implement tailored AI solutions. 

• Continuously monitor, troubleshoot, and refine models to improve performance, accuracy, and efficiency. 

• Stay updated with the latest advancements in AI and incorporate innovative techniques into projects. 

What Were Looking For: 

• Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. 

• Hands-on experience with NLP frameworks such as Hugging Face or spaCy. 

• Strong understanding of data handling, including SQL, NoSQL, and building data processing pipelines. 

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud. 

• Excellent problem-solving skills, strong communication abilities, and a collaborative mindset. 

• Bonus: Experience in production AI/ML environments and publications in AI research.