17 of 17 Machine Learning Jobs in Cheshire

workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You’ll play a key role... As a Senior Staff ML Scientist , you’ll be at the pinnacle of our Individual Contributor (IC) career track, serving as the foremost technical authority in Machine Learning within Monzo. You’ll shape foundational ML strategy and platforms that support Operations and influence the design and delivery of ML solutions across the business. You will work cross-functionally with senior leadership, engineering teams, and business stakeholders to define and execute our long-term ML strategy. ...

role We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability … though many are shorter. What you’ll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

enable our data driven approach, and: Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases. Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost. … offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits here ...

Terraform Sentinel, Wiz, etc. Strong understanding of cryptography, modern authentication and authorization mechanisms, networking, and enterprise security architectures Experience or familiarity with AI/ML technologies, including LLMs and AI agent frameworks (eg, LangChain, Semantic Kernel, AutoGen, or similar) Demonstrated ability to build or contribute to AI-powered applications ...

supporting a cutting edge deep tech company in London that is building full stack photonic quantum systems designed to transform how organisations run machine learning, generative AI, and large scale optimisation workloads. Their technology is already deployed in multiple real world environments, and they re now entering ...

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. This step ...

including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps … experience architecting solutions on Azure and/or Microsoft Fabric (e.g., Lakehouse, Data Warehouse, Synapse, Data Factory, OneLake). Solid understanding of AI/ML solution patterns, including integration with modern data platforms. Proven ability to run workshops, lead design engagements and simplify complex concepts for diverse audiences. Strong consulting ...

thrive in a high-performance environment where results are recognized and rewarded Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise. You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor. ...

receive structured job support to help you secure your first role. The Programme This 10 14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer ...

innovation Manage the Innovation Portfolio Oversee a pipeline of initiatives from early-stage concepts through to scaled delivery Drive Digital & Data Transformation Leverage AI, machine learning, and advanced analytics to improve decision-making and operations Embed a Culture of Innovation Champion experimentation, continuous improvement, and cross-functional collaboration ...

architecture. The role involves strategic development and collaboration with stakeholders to ensure data accuracy and accessibility. Key qualifications include strong expertise in AI/ML architecture, enterprise governance, and effective stakeholder leadership. Candidates should have experience in data strategy and emerging technologies pertinent to financial services. #J-18808-Ljbffr ...

Align across the enterprise. Develop others. Role Responsibilities & Qualifications To be successful as an AI Enterprise Architect, you should have experience with: AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

Overview Automation Technologies and AI/ML-Driven Platforms and Analytics Tools; in the realm of automation technologies and AI/ML-driven observability platforms and analytics tools, the following are essential: Terraform Itential NetDevOps Splunk Python React JS Django Database Technologies Proficiency with database technologies is crucial, including: MySQL ...