8 of 8 Permanent Machine Learning Jobs in Milton Keynes

workflows. Your work will enhance efficiency and accuracy across functions like accounting, FP&A, treasury, tax. Key Responsibilities for the AI Finance Lead; Design, build, and deploy AI and machine learning models to tackle complex financial challenges Support with wider finance teams to identify high-impact AI use cases across multiple finance domains Partner with data engineers to … of AI systems, adhering to financial regulation requirements Educate and support finance stakeholders in understanding AI capabilities and limitations Profile Degree in a relevant field; advanced qualifications in AI (Machine Learning, Data Science, or Finance) Proven experience in finance-related roles and familiarity with financial processes Strong knowledge of machine learning techniques and generative AI applications More ❯

you will be expected to: Design and 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. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. 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 … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. 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 ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

the research service and deploy to the production service. Manage the lifecycle of multiple cloud environments with extensions to on-premise high performance computing facilities that run AI/ML models (e.g., implement health monitoring and alerting). Advocate DevOps principles and coach product teams, which will extend to AI/MLOps. Provide environmental support and training to delivery teams 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 ❯

Lead to join them on a permanent basis They are a digital marketing company that specialize in performance marketing and affiliate platforms. They have created an advanced AI/ML data platform that integrates into Casino and Sports betting brands. It is a search and comparison engine that can help users to make better choices and informed decisions. In this More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

and driving sales growth. Responsibilities Data modelling Data extraction and mapping Requirements clarification Documentation Customer communications Skills Must have Data Modelling Automation GIS experience Nice to have Azure storage Machine learning Python More ❯