AI and 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
A collaborative and supportive environment in which you can grow and develop your career The tools and opportunity to do work you can be proud of A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience 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 FSP is an equal opportunity employer and we welcome applications from all suitable candidates. We consider all applicants for employment regardless of age, disability, sexual orientation, gender identity, family or parental status, race, colour, nationality, ethnic or national origin, religion or belief. Research suggests that applicants from underrepresented groups are less likely to apply for roles if they do not precisely meet requirements, or if they felt there were clear barriers as to who should apply. If you are excited about a potential role with us but are concerned that you may not be a perfect fit, please do apply, as you may be the ideal candidate for this role or for a different vacancy within FSP. We endeavour to always provide fair opportunity for applicants to showcase themselves in the best way possible during any interviews or meetings. If you require any adjustments for a call or in-person meeting, please let us know. #J-18808-Ljbffr