51 to 75 of 197 Machine Learning Jobs in the Midlands

work from the following locations: Northampton, Knutsford or Glasgow. Purpose of the role To design, develop, implement, and maintain various statistical, mathematical and machine learning models to support decision‐making by analysis and solving complex problems. Accountabilities Acquisition and collection of data from various sources, including internal databases … suitability for model development. Design and implementation of data management strategies for model maintenance and future development. Designing, development, and implementation of statistical and machine learning models for various applications, including credit risk assessment, fraud detection, customer segmentation, and marketing optimisation. Monitoring model performance in real‐time ...

evolution a success. Bring your experience. Bring your passion. Bring your drive. We want it all. You will be designing, developing and testing quality machine learning and data engineering solutions as well as s upporting the development, deployment and monitoring of machine learning models and data ...

their intelligent logistics and route-planning platform. This is a unique opportunity to work on software that combines modern web development with optimisation algorithms, machine learning, and large-scale data processing. The Role You'll spend most of your time developing and enhancing a platform built with C# … ability to tackle complex technical challenges Nice to Have Entity Framework Core PostgreSQL, MySQL, or other relational database experience AWS or other cloud technologies Machine learning, optimisation, or algorithm development experience Experience with NumPy, Pandas, SciPy, or similar Python libraries Logistics, route planning, or operational research experience Package ...

will be naturally inquisitive and innovative, with a passion for solving problems and continuously improving customer outcomes. An advocate for the use of AI, machine learning, and automation to enhance our product capabilities and create competitive advantage. Main Responsibilities Define and execute the product strategy, vision, and roadmap … Data Science, and Executive stakeholders to align priorities, manage dependencies, and ensure successful delivery of strategic outcomes. Identify and lead opportunities to leverage AI, machine learning, and automation to enhance product capabilities, improve customer outcomes, increase operational efficiency, and create competitive advantage. Proactively identify, assess, and manage product ...

help shape the future of AI and digital transformation across the organisation. You'll work at the forefront of technology, exploring opportunities in AI, machine learning, data science, automation, cloud technologies and digital transformation to deliver measurable business outcomes. What you'll be doing As our Innovation Manager … Innovation Management, Digital Transformation, Technology Strategy or a similar leadership role. Experience developing and delivering innovation roadmaps and technology strategies. Strong knowledge of AI, machine learning, automation, data analytics, cloud technologies and emerging digital trends. Experience leading technology implementation projects and innovation programmes from idea through to delivery. ...

application and use of Excel, SQL, Power BI and Power Platforms. Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with SQL and enjoy … highest standards possible. Key Skills & Experience Advanced Analytical Modelling abilities (advanced Excel & PowerBI user, with solid SQL skills). Appreciation of building machine learning models using techniques such as forecasting, time series analysis and optimisation. Articulate & concise presentation and communication style to simplify complex technical and analytical information ...

regulatory compliance. Support GDPR compliance activities, including Data Protection Impact Assessments (DPIAs) and governance of data used within our data estate, and AI and machine learning solutions. Act as the primary point of contact for data-related regulatory and governance matters. Define policies and standards for third-party … highly regulated sectors. Understanding of Responsible AI principles, AI governance frameworks and the risks associated with AI-enabled solutions. Experience supporting governance requirements for machine learning and advanced analytics initiatives. Knowledge of SRA data handling obligations, and insurer/corporate client data-sharing requirements are desirable ...

Data Science Lead/Data Science Leader/Data Science Manager/Project Lead/Technical Lead/Data Science/ML/Machine Learning/AI/Artificial Intelligence/Hybrid – Remote/Warwick/Home/6-month contract/£600 – 900 per day Inside IR35. … technical stakeholder groups Ensure data science outputs deliver genuine, actionable insight Get hands-on with Python when required Apply modern AI/ML, GenAI and Agentic AI approaches Work with cloud technologies – Azure highly desirable We’re looking for: Strong Data Science experience – background as a Data Scientist ...

effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities. Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R. Strong knowledge of AI frameworks such as TensorFlow ...

impacted transactions, establishing supporting evidence, and routing unresolved cases for further investigation. Qualifications 5–8 years of professional experience in software engineering, AI/ML engineering, data engineering, GenAI or related roles. Demonstrated experience building LLM/GenAI applications beyond proof-of-concept chatbots. Practical experience implementing agentic workflows, tools ...

deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise AI coding ...

investment in AI, including Azure AI Foundry and other Microsoft AI technologies. This isnt an AI Engineering role and you dont need deep ML experience. Practical exposure is enough to start the conversation - perhaps using Copilot or another LLM to support development, validate code, improve documentation, investigate problems or experiment ...

fraud detection, and commercial performance. This is a role for someone who enjoys taking models from problem definition through to deployment , working with modern ML techniques and real-world commercial challenges. 1 day/week (Leicester/London/Bexhill) £60k-£100k What you'll be doing Build and deploy … pricing performance. Identify and leverage new data sources to drive business value. Partner with stakeholders across Pricing, Data Science, Analytics, and Engineering teams. Own ML projects end-to-end, including EDA, deployment, monitoring, and model refreshes. What they're looking for - Proven experience delivering ML projects from concept to deployment. ...

building and optimising large-scale data pipelines and distributed processing solutions within an AWS environment . The role will also support modern AI/ML and Generative AI initiatives by developing scalable, secure and reliable data platforms. Key Responsibilities Design, build and maintain high-throughput data pipelines using Apache Spark … within AWS environments. Develop performant solutions using Java or Scala alongside advanced SQL. Support modern data lake and lakehouse architectures. Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases. Implement appropriate data quality, governance, security and monitoring ...

preferable, whether thats Wealth Management, Banking, Insurance or another regulated financial organisation. Where does AI fit? You dont need to be an AI or Machine Learning Engineer. The client is looking for evidence that youve started exploring how AI can improve the way you engineer perhaps using Copilot ...

Microsoft Azure SQL Server, MySQL or PostgreSQL Node.js or Python AWS Docker/containerisation Automated testing and CI/CD Data analytics or machine learning Internet of Things (IoT) technologies and applications You don't need experience across the entire technology stack. A strong front-end developer with ...

APIs that connect data services to frontend applications Work with large-scale rail inspection datasets including ultrasonic, electromagnetic, and operational data Implement and deploy machine learning models and statistical analyses in production environments Architect and manage AWS cloud infrastructure for data workloads (S3, Lambda, Glue, Athena, SageMaker, Step ...

Comfortable working in regulated data environments with sensitive personal and litigation data. Excellent stakeholder management and communication skills. Desirable Experience Exposure to predictive analytics, machine learning operationalisation or AI platforms. Experience working with Dynamics CRM, case management platforms such as VisualFiles, and finance systems such as Elite ...

deliver analytical products that directly shape football decisions. Support our R&D team in the design and implementation of world-leading statistical and machine learning models, drawing insight from football datasets including event data, optical and broadcast tracking data, and GPS/performance data. Effectively utilise AI coding ...

building and optimising large-scale data pipelines and distributed processing solutions within an AWS environment . The role will also support modern AI/ML and Generative AI initiatives by developing scalable, secure and reliable data platforms. Key Responsibilities Design, build and maintain high-throughput data pipelines using Apache Spark … within AWS environments. Develop performant solutions using Java or Scala alongside advanced SQL. Support modern data lake and lakehouse architectures. Work alongside AI/ML teams to provide data platforms supporting Generative AI, machine learning and advanced analytics use cases. Implement appropriate data quality, governance, security and monitoring ...

keen to hear from those with expertise in one or more of the following sub-disciplines: Computer Programming (C++, C#, python); Cybersecurity; Artificial Intelligence, Machine Learning and Data Science; Software Development; Cloud Computing; Mobile Application Development; Distributed Databases. You will possess excellent communication and presentation skills, being capable … postgraduate students across our portfolio of courses within the Computer Science department. You will also be an inspiring educator interested in creating engaging learning experiences. You should be able to make a significant contribution to our ambitious plan for delivering innovative, industry-focused education. Interviews w/c 16th ...

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 ...

programme, where youll help turn operational, telematics, customer and third-party data into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. Youll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns ...

programme, where youll help turn operational, telematics, customer and third-party data into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. Youll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns ...

they need. Analytics and AI: Using models and analytics techniques to enhance or add value to data. This could relate to supervised/unsupervised machine learning and have applications across advanced analytics and AI agent development. Standards and Best Practice: Adopting best practice and championing the standards established ...