1 to 25 of 110 Machine Learning Jobs in the Midlands

Senior Data Scientist Hybrid - Leicester (1x day a week) £75,000 - £85,000 + bonus Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. … work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance. The Company They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial ...

Learning and statistical modeling. Primary concentration on credit risk modeling, also encompassing utilization, pricing, collections, and marketing optimization. Collaborate with a team of ML Scientists to manage the lifecycle of ML models from experiment design to deployment and monitoring. You will have the freedom to innovate with data, methodologies … Responsibilities Collaborate with Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers to integrate model development into the product roadmap. Own several ML applications from experiment design to deployment and monitoring. Decide on impactful topics across Borrowing products and deliver solutions. Technology Stack Google Cloud Platform for analytics ...

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 ...

into actionable insight and real‐world impact. This is an exciting opportunity to shape the future of roadside operations by applying advanced analytics and machine learning to drive meaningful improvements in operational efficiency and customer experience. The role is suitable for an individual who brings a strong problem … using Azure What you’ll do Analyse historical and real‐time data to identify trends, inefficiencies, and optimisation opportunities Develop and deploy cutting‐edge machine learning models, focusing on operational performance and resource optimisation Enhance real‐time decision‐making through advanced analytics and AI solutions Collaborate with Data ...

centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solving complex problems and building impactful … developing innovative approaches to customer risk assessment and pricing. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models that improve pricing and customer selection strategies Exploring and evaluating new data sources to identify commercial opportunities Developing geospatial and footprint models ...

well-defined and dynamic roadmap. By acting as a hands-on technical leader, you will empower your Senior Data Scientist to build robust machine learning models, and your Senior Data Analyst to scale impactful reporting processes Role Requirements: Strategic Direction & Roadmap: Define, build, and own the combined data … maintained across both predictive modeling and business intelligence. Hands-on Technical Support: Actively participate in the technical work. Provide direct support in developing machine learning models, building complex analytical pipelines, and structuring advanced reporting frameworks. Resource & Capacity Management: Oversee workload and project allocation across the two streams. Regularly ...

range of applications. The role will involve a combination of: Applied physics and experimental research Imaging technology development Data analysis and algorithm development Machine learning/artificial intelligence applications Scientific modelling and simulation Technical reporting and stakeholder engagement A strong understanding of MATLAB is essential , as you will … extensively to develop, test and optimise algorithms and analytical solutions. Analyse complex datasets and translate findings into technical reports, recommendations and executive summaries. Develop machine learning and AI-based algorithms, including deep learning approaches, to improve detection performance and reduce false positives. Work closely with engineering, operations ...

others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government's AI Cyber Security Code … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliver AI/ML solutions to production. Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. Experience with the latest AI engineering approaches ...

engagements across the aviation sector Lead technical discovery sessions with airline customers to assess AI maturity, operational challenges and transformation opportunities Design AI and machine learning solutions across areas such as automation, predictive analytics, NLP and generative AI Build proof of concepts, prototypes and scalable AI solution architectures … tooling and emerging technologies Contribute to thought leadership initiatives and help position the business as an AI‐first consultancy Requirements Strong experience delivering AI, machine learning or advanced analytics projects within consultancy or enterprise environments Deep hands‐on AI expertise across machine learning, generative ...

cybersecurity, preferably within financial services, banking, or a regulated environment. Strong analytical and coding capabilities, with hands‐on experience in Python, R, SQL, machine learning techniques, and data science frameworks to develop and enhance fraud detection models. Some Other Highly Valued Skills May Include Experience leading, mentoring … primarily located at our Northampton office, however we may consider Radbroke and Glasgow. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves, leveraging these insights to inform strategic decision‐making, improve operational efficiency ...

Lead Data Scientist (Model Developer)/Deep Learning Practitioner Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. … derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve ...

lending decisions, enhance customer outcomes and support sustainable portfolio growth. Combining traditional data science techniques with practical commercial application, you’ll leverage modern analytics, machine learning and AI-assisted development tools to accelerate model development, improve decision making and deliver tangible business value. You’ll collaborate with stakeholders … Support the development of provisioning, forecasting and portfolio monitoring methodologies. Analyse customer, bureau, affordability and behavioural data to identify trends, risks and opportunities. Utilise machine learning and AI-assisted development techniques to accelerate model development and improve analytical efficiency. Produce robust model documentation, validation reports and governance materials. ...

architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape—someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise Languages: Strong proficiency in SQL and Python. Data Platform: Hands … Managed Instance. Working knowledge of Azure Event Hubs or Active Batch. A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real‐world data problems. #J-18808-Ljbffr ...

individuals who enjoy solving problems through automation, have experience integrating tools and workflows, and are curious about emerging technologies such as AI and machine learning . If you're passionate about modern cyber security, cloud technologies and building smarter, more efficient security solutions, this role offers the opportunity … threat hunting, investigations and continuous security improvement initiatives. Contribute to the secure adoption of AI-enabled technologies and identify opportunities to leverage automation and machine learning within security operations. Monitor emerging threats and help implement appropriate security controls and safeguards. Skills & Experience Essential Good level of experience within ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

activities. Technical Knowledge, Skills and Abilities: Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such … Concepts - ideally in MS-Azure Profile Educated to degree level or equivalent with a deep interest in AI innovation and automation Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable Proficiency in Python, Java, and R Strong knowledge of AI frameworks such ...