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Base pay range

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Data Specialist at Intellect Group | Ex PwC Consultant

Location: London (Hybrid)

Start Date: ASAP

About the Opportunity:

We are seeking an ambitious and intellectually curious Junior AI Engineer to join a dynamic, fast-growing team operating at the forefront of artificial intelligence, large language models (LLMs), and cloud-native applications.

This is an excellent opportunity for a recent Master’s graduate eager to apply their academic and project experience to designing and deploying LLM-powered solutions and retrieval-augmented generation (RAG) systems within a modern cloud environment.

You’ll collaborate with experienced AI engineers, data scientists, and cloud specialists to transform ideas into production-ready applications that drive automation, security, and knowledge retrieval across multiple industries.

What You’ll Be Doing:

• Designing, developing, and deploying LLM applications (e.g. GPT, LLaMA, Claude) integrated with RAG pipelines
• Implementing end-to-end workflows: from embedding generation and vector search to model fine-tuning, deployment, and monitoring
• Collaborating with engineers and cloud architects to deliver AI services on AWS, Azure, or GCP
• Applying NLP, generative AI, and retrieval methods to solve real-world challenges in automation and decision support
• Contributing to internal R&D, staying current with advancements in LLMs, RAG frameworks, and generative AI

What We’re Looking For:

• A recently completed Master’s degree from a Russell Group university in Artificial Intelligence, Computer Science, Data Science, Engineering, Mathematics, or a related discipline
• Clear demonstrated project experience (academic research, dissertation work, or personal projects) involving LLMs and/or RAG pipelines
• Strong programming skills in Python (e.g. Hugging Face, LangChain, PyTorch, TensorFlow, scikit-learn)
• Familiarity with cloud technologies (AWS, Azure, or GCP) and distributed systems concepts
• Strong problem-solving mindset with a passion for applying AI in practical, scalable ways
• Excellent teamwork and communication skills, with the ability to explain complex concepts clearly
• Full right to work in the UK (we are unable to offer visa sponsorship for this role)
• Experience with vector databases (Pinecone, Weaviate, FAISS, Milvus)
• Exposure to MLOps practices, containerisation (Docker), or orchestration (Kubernetes)
• Knowledge of prompt engineering, fine-tuning, or evaluation of LLM performance
• Contributions to open-source AI/ML projects or published academic research

Hybrid Working: Flexible balance of office and remote work

Career Growth: Mentorship, structured training, and clear progression paths

Modern Tech Stack: Hands-on with the latest LLM, RAG, and cloud-native tools

Collaborative Culture: Join a supportive, innovative engineering team

Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives

How to Apply:

If you’re excited by the opportunity to apply your academic and project work to real-world AI challenges, please send us your CV. A member of our team will reach out quickly to discuss the next steps.

Seniority level

• Entry level

Employment type

• Full-time

Job function

• Information Technology
• Industries: Technology, Information and Media and Software Development