AI & Machine learning Engineer
Role details
Job location
Tech stack
Job description
We're hiring an AI & Machine Learning Engineer to help design and deliver next-generation AI solutions across our public sector and enterprise clients. You'll work across Machine Learning, Data Engineering, and advanced AI technologies including Generative AI, Agentic AI, and Large Language Models as part of our growing AI Engineering team.
You will collaborate with data architects, engineers, and business stakeholders to create innovative, cloud-based AI solutions that leverage the latest advancements in GenAI. You will help clients unlock new value from their data, automate complex processes, and drive digital transformation through the practical application of cutting-edge AI.
Responsibilities
- Deploy, fine-tune and monitor Generative AI models and Agentic AI for enterprise use cases.
- Develop and implement Retrieval-Augmented Generation (RAG) pipelines and advanced context engineering strategies.
- Integrate Agentic AI into business workflows.
- Collaborate with data engineers to bring Agentic capabilities to production.
- Stay current with AI trends, tools, and best practices, and drive innovation within the team
Requirements
- 3+ years of experience in machine learning, AI, data science, or software development, with recent focus on GenAI and LLMs.
- Experience with GenAI frameworks (e.g. Azure Foundry, CrewAI and Hugging Face).
- Proficient in context engineering, RAG, and LLMOps.
- Experience deploying ML/AI solutions on Azure (Azure OpenAI, Azure AI Foundry, Azure ML Studio).
- Experience with Azure data and analytics services (Data Factory, Data Lake, Synapse Analytics, SQL Database).
- Programming skills in Python, R, or similar languages.
- Familiarity with ML frameworks and libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with Azure DevOps, GitHub, or similar tools.
- Experience in Computer Vision for Optical Character Recognition (OCR) and object recognition.
Knowledge and experience of the following would be advantageous:
- Hands-on experience with MLflow, Databricks CLI, Terraform, automated retraining pipelines, drift detection, MLSecOps, access control, audit logging, and documentation, knowledge transfer, and training for internal teams and stakeholders.
What we look for in our people
- Strong alignment with FSP values and ethos
- Commitment to teamwork, quality and mutual success
- Proactivity with an ability to operate with pace and energy
- Strong communication and interpersonal skills
- Dedication to excellence and quality
Benefits & conditions
- Hybrid working - we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
- Competitive salary and an excellent benefits package
Equal and Fair Opportunity