5 of 5 Machine Learning Jobs in Buckinghamshire

Data Scientist, you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … adherence to data privacy regulations. Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Proven experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

Insights role at a senior level Experience managing a team of data professionals. Strong proficiency with Data Analytics tools and technologies - particularly Power BI Good understanding of statistical analysis, machine learning, or predictive modelling techniques Strong analytical and problem-solving abilities. Excellent communication and presentation skills If you would be interested, please apply or call Corinne at Pertemps. More ❯

communication and problem-solving skills British Citizenship is required due to the nature of the work. Applicants must be eligible for Security Clearance (SC) Desirable: Experience deploying AI/machine learning-based applications Previous experience working on secure or air-gapped systems Familiarity with public sector or defence projects Interest in progressing towards solution architecture or technical leadership More ❯

with APIs and integrating AI into practical tools. Bonus if you bring expertise in: Speech/audio models (ASR, diarization, TTS) or document intelligence (OCR, NER). Knowledge of ML Ops (experiment tracking, monitoring, CI/CD for ML). Familiarity with cloud AI services (AWS Sagemaker, GCP Vertex AI, Azure ML). Exposure to business process improvement or automation. More ❯