π€ Graduate AI Engineer | London | Hybrid Working
π Are you a Graduate AI Engineer ready to launch your career applying Artificial Intelligence to real-world business and financial challenges?
Weβre looking for a motivated and technically minded Graduate AI Engineer with hands-on industry experience in AI β whether through internships, placements, or commercial projects β to join our hybrid-working team in London. Youβll help design, build, and deploy intelligent systems that drive innovation and data-driven decision-making across the organisation.
This is an exciting opportunity to join a global technology and analytics team, working alongside experienced engineers, data scientists, and AI specialists shaping the future of intelligent finance.
In this role, youβll:
π§ Develop, train, and optimise machine learning and deep learning models for real-world applications
β Build and support AI pipelines β from data preprocessing to model deployment and monitoring
π¬ Collaborate with cross-functional teams to integrate AI solutions into production environments
π Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face
π Contribute to model governance, compliance, and responsible AI practices
Whatβs in it for you?
π Career Growth β Gain structured mentorship, ongoing learning opportunities, and exposure to cutting-edge AI technologies.
π‘ Innovation Culture β Work in a collaborative environment that values experimentation, curiosity, and real-world impact.
π’ Hybrid Flexibility β Enjoy a balance of remote work and in-person collaboration at our modern central London office.
π Inclusive Environment β Join a diverse, supportive team committed to professional development and wellbeing.
π° Competitive Package β Performance-based bonus, private medical insurance, generous pension scheme, 30 daysβ annual leave, and extensive wellbeing benefits.
What Weβre Looking For:
π Degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field (Masterβs preferred)
πΌ Some proven industry experience applying AI or machine learning (internship, placement, or full-time role)
π Strong programming skills in Python and familiarity with frameworks such as TensorFlow, PyTorch, or scikit-learn
π Understanding of machine learning algorithms, data pipelines, and model evaluation
βοΈ Familiarity with cloud platforms (AWS, GCP, or Azure) and version control tools (Git)
π¬ Excellent communication, problem-solving, and teamwork skills
If youβre passionate about turning AI research into practical, real-world solutions β and ready to grow your career in a global, innovation-driven environment β weβd love to hear from you.
π Apply now and start shaping the future of intelligent technology.