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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
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