1 to 25 of 75 Machine Learning Jobs in the Midlands

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 ...

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 ...

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 ...

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 ...

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 ...

Title: Machine Learning Engineer - Computer Vision (Contract) Location: UK Remote/Hybrid Day Rate: 4-600 per day Why Apply? All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. This contract offers the opportunity to take full technical … ownership of a high-impact computer vision workstream focused on real-world AI deployment. You will lead the development and improvement xxuwjjq of machine learning models that detect damage on large commercial vehicles u... ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

scale securely as requirements evolve. Key Responsibilities Design, develop, and maintain AI-enabled software components and back-end services Implement, optimise, and support machine learning models for real-world production use Build and integrate APIs to enable AI functionality across systems Work with structured and unstructured data, including … modern language (e.g. Python, JavaScript/TypeScript, C#, or similar) Practical experience developing or integrating AI and machine learning solutions Familiarity with ML frameworks such as TensorFlow, PyTorch, scikit-learn, or equivalent Experience building and consuming RESTful APIs and working with cloud-hosted services Understanding of data pipelines ...

Title: AI Engineer (Digital Health)/Machine Learning Engineer/AI Lead/Generative AI Engineer/Aritificial Intelligence Level: Mid-Level Location: United Kingdom (Hybrid working) Salary: £60,000£90,000 + benefits Employment Type: Permanent The Opportunity We are a Specialist Digital Health Consultancy working with … quality. What Were Looking For AI & Engineering Experience Around 25 years experience in software engineering, with at least 12 years working with AI/ML or Generative AI in a commercial setting. Solid Programming Foundations Strong skills in Python and/or JavaScript , with a good understanding of APIs, data ...

growing our AI capabilities, and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … below work as part of the team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions. Data & Insights – partnering with product, operations or customer-facing teams to understand real problems AI can help solve. Customer Experience ...

opportunity to work on a wide range of technically challenging projects, including large-scale data processing systems, enterprise applications, mobile applications and cutting-edge machine learning solutions. You’ll be joining a collaborative, supportive and highly skilled team within a friendly, family-run environment. As a Software Developer … team Example Projects Real-time IoT systems communicating via GPRS Complex reporting and scheduling platforms Large-scale, data-driven systems Rich data analysis, machine learning, and AI solutions Backend integrations with CRM and financial systems Required Skills & Experience Strong commercial experience with C# .NET Core (essential) Proven experience ...

Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms ...

Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

Finance Support: Ongoing analytics across AP, Cash Accounting, Commercial Services, and Operations. Analytical Automation: Using Python/SQL to streamline recurring finance analysis. Future ML/AI: The team will explore machine learning applications in finance analytics. Requirements Essential: Strong SQL (querying, joins, CTEs, window functions, data profiling … financial data. Data warehousing knowledge. What You'll Get Salary up to £47,000 . Exposure to modern data tech ( Databricks, Medallion Architecture ). ML/AI exposure as the team evolves. Hybrid working (4 days onsite after initial training). Career development in a major UK retailer. Interview Process ...

STEM/Engineering/Technology/Tech/Business Analyst/Business Analytics/Software/SaaS/Analyst/Data/AI/ML/Artificial Intelligence/Machine Learning/C++/C#/Java/HTML/UX/UI/SQL/Client-facing ...

workload). BAU Finance Support: Ongoing analytics across AP, Cash, Commercial Services, Operations. Analytical Automation: Using Python/SQL to streamline recurring analysis. Future ML/AI: The team will explore machine learning applications. Requirements Essential: Strong SQL (querying, joins, CTEs, window functions). Python for data analysis … team or financial data experience. Data warehousing knowledge. What You'll Get Salary up to £47,000. Modern data tech (Databricks, Medallion Architecture). ML/AI exposure as team evolves. Hybrid working (4 days onsite after training). Career development in major UK retailer. Interview Process Stage 1: Informal ...

evaluates appropriate data sources to support predictive and analytical use cases. Advocates standards and best practices for developing, evaluating, deploying, and monitoring analytics, ML, and AI solutions. Financial Management Advises on financial planning, budgeting, and cost optimisation for data platforms and solutions. Develops financial forecasts and monitors expenditure against agreed … integration, ETL/ELT, CDC, streaming, APIs, and messaging Data modelling (relational, dimensional, NoSQL) Data governance, security, privacy, and regulatory compliance Power BI, Azure ML, ML/AI, Generative and Agentic AI Strong Experience End-to-end implementation of cloud data platforms Advanced Snowflake capabilities and cost optimisation Complex data ...

version control, testing, code review, and CI/CD processes. Mentor and guide existing developers, providing technical leadership and promoting a culture of continuous learning and improvement. Develop and maintain scalable cloud-based solutions using AWS services such as Lambda, S3, Redshift, Glue . Create and manage API integrations … backend logic, particularly in support of analytics and integration tasks. Continuously review and optimise existing codebases for performance, scalability, and maintainability. Work alongside CRM, Machine Learning, and Data teams to integrate predictive models and analytical insights into operational workflows. Provide technical oversight and support for complex issues, ensuring ...

maintenance needs. Create dashboards and reports to communicate insights to non-technical stakeholders. Assess the impact of housing initiatives and recommend improvements. Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Maintain data quality, security, and compliance with GDPR and other regulations. Work … e.g., MRI, Northgate, Civica, or Orchard) and the ability to apply advanced analytics to operational challenges in housing (desirable). Demonstrated experience in using machine learning, predictive modelling, and statistical analysis to solve real-world problems. Expertise in statistical modelling, predictive analytics, clustering, classification, and regression techniques. Strong ...