8 of 8 Machine Learning Jobs in Staffordshire

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to 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 ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . Engineering 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 ❯

team, supporting their journey to becoming a data-driven leader in the hospitality sector. This role involves owning and delivering the data science roadmap and building advanced AI/ML solutions that generate measurable business value. Experience in fast-paced, multi-brand environments and strong stakeholder management skills are essential. Youll be joining a forward-thinking organisation with deep heritage More ❯

some of the best talent in the industry to create innovative high quality and defect-free solutions to meet our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued Required Qualification: Job description Infosys is seeking a Performance Test Lead . As … integrating testing best practices into the application development lifecycle to successfully reduce friction, identify potential problems early, and improve cross-collaboration. Researches Artificial Intelligence (AI) including machine language (ML), robotics, and other advanced and emerging technologies to improve automation efficiency and analytics. Participates in PI and sprint planning. Guides, leads, and influences teams in developing technical understanding and skillset … applications and platforms. Proficient in Performance Testing and QAE. Proficient in understanding of Testing Tools and Integrations. Tools : LoadRunner is mandatory with knowledge of Selenium or Tosca. AI/ML knowledge is plus The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to More ❯

with tech company that's making a real impact in ESG, supply chain risk, and sustainability. This client is looking for a hands-on AI Engineer with AI/ML tooling experience to help build and prototype LLM-powered workflows. THE ROLE: This client are hiring an AI Engineer to: Prototype and build GenAI tools for LLM-driven document reasoning … data teams Influence the direction of emerging AI tools YOUR SKILLS AND EXPERIENCE: A successful AI Engineer will have the following skills and experience: Strong Python with AI/ML exposure Experience with LLMs, RAG pipelines, document extraction Prior work with multimodal data (NLP, CV, tabular) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to More ❯

utilise machine/deep learning and Natural Language Processing (NLP) to integrate AI solutions into products and services. Key skills and experience required: - Hands-on AI and ML Engineering experience - Experience developing in Python and it's relevant ML frameworks - Experience with Copilot and the whole Microsoft Eco System - Ability to work on a hybrid model For further More ❯