1 to 25 of 80 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 ...

that enables AI systems to run reliably, securely and at scale in production environments. This AI Ops Engineer role sits at the intersection of machine learning, cloud infrastructure and DevOps, supporting the full lifecycle of AI solutions from deployment through to ongoing optimisation. The AI Ops Engineer position … Strong experience operating machine learning or AI systems in production environments Hands-on experience with CI/CD pipelines for data or ML workloads Experience managing cloud-based infrastructure for AI workloads Solid understanding of monitoring, observability and operational resilience Strong collaboration skills with the ability to work ...

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 ...

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 ...

driven data integration. Data management tasks involve extracting, validating, and transforming datasets, ensuring integrity, and producing reports. Advanced analytics includes predictive modeling, machine learning, and anomaly detection using Python or R. Acting as site lead, the role coordinates local IT support, represents the site in BCPS projects … care problems of tomorrow. We're passionate about the value that diversity of thinking and lived experience brings in enabling us to become a learning organisation and leader in delivering compassionate care for our patients. We are delighted that we have been rated as "Good" by CQC. We have ...

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 ...

migrating from traditional databases to data lake architectures. Background in Financial Services or other regulated industries. Exposure to SAP/DM9 environments. Knowledge of machine learning techniques relevant to credit risk. What we offer: Hybrid working flexibility (South West). Competitive salary ...

tools, and ISO/IEC 42001. Qualifications A degree in Computer Science, Data Science, Engineering, Business or equivalent experience. Relevant certifications (AI/ML, data, project management, cyber security) are beneficial. Why Tarmac We don't just offer a job, we offer a career. Alongside this role, you'll have ...