Graduate AI and Machine Learning Engineer

About Threepipe Reply: Threepipe Reply is an award‑winning integrated brand performance agency of specialists, working across media, creative, social, analytics, UX, data science, search marketing and PR. Threepipe offers a rigorous planning framework, proprietary and best in breed technology partners to help consumer and business to business brands make sense of the highly evolving market, media and competitor landscape.

As a Graduate AI and ML Engineer, you'll support the design, build and operational maintenance of applied AI and data engineering solutions that make a real impact across the agency. You'll work on everything from improving and maintaining our internal systems and data pipelines, to developing AI‑powered applications and prototypes for client work. This is a unique opportunity to join at the start of our tech journey and help shape how AI and advanced data engineering transforms our agency. You'll also assist our team in the design and development of machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalisation and monitoring.

Start date: February 2026

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• Develop new applications to support marketing performance and automation.
  
• Build AI‑powered prototypes and applications using LLMs, LangChain, RAG pipelines, and other emerging frameworks.
  
• Experiment with new AI technologies (e.g. vector databases, embedding models, prompt optimisation, AI agent, Google AI Studio/Gemini) and assess their value to the agency.
  
• Manage and improve our cloud infrastructure structure and data pipelines; deploy and manage containerised services.
  
• Work with our Data Analysts and data team members to better improve our data infrastructure, transformations and reporting flows.
  
• Support the management of infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production.
  
• Explore and understand client data in relation to the problem you're tackling and communicate findings to clients and stakeholders.
  
• Collaborate with non‑technical teams to understand business problems and turn them into AI and data solutions.
  
• Support, manage and maintain our internal website and applications, including assisting with future migration/modernisation and working with external partners where required.
  

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• Degree‑educated in Computer Science, Artificial Intelligence, Data Science or a related discipline (min 2.1 grade).
  
• Initial work experience in a relevant role (e.g. data engineering, developing AI solutions, training, evaluating or deploying machine learning models).
  
• Practical experience with at least one major cloud platform (GCP or AWS) and working knowledge of its database/compute services.
  
• Experience with MySQL and confident SQL skills (e.g., PostgreSQL /BigQuery‑style SQL).
  
• A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  
• Excellent knowledge of Python and data handling libraries (Python3 and specifically Pandas) including at least one ML framework e.g. Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain and RAG.
  
• Familiarity with DevOps, Git/Github and CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus.
  
• Comfortable working with REST APIs and integrating platform exports into reporting pipelines.
  
• Experience with Looker Studio, Funnel.io, Supabase, Bolt or similar tools is advantageous.
  
• Basic HTML, PHP, JavaScript; React/Next.js and API development are a plus.