1 to 25 of 65 Machine Learning Jobs in the East Midlands

Senior Machine Learning Pricing Analyst - Nottingham/Hybrid - £60,000 - £70,000 This is an excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost … analysis to assist the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates … with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as More ❯

to enhance vehicle performance, optimize race strategies, and advance driver safety in the high-speed world of motorsports. The ideal candidate will have a strong background in AI and machine learning, with a keen interest in applying these technologies to revolutionize racing. Role Responsibilities: Develop and implement AI models to analyse real-time and historical race data, improving … vehicle performance and strategic decision-making. Collaborate with engineering teams to integrate AI-driven solutions into vehicle design and race operations. Utilize machine learning algorithms to predict race outcomes, optimize pit stop strategies, and enhance driver performance. Stay abreast of the latest advancements in AI and motorsport technologies, applying innovative solutions to maintain Lola's competitive edge. Create … reliability and effectiveness in race conditions. Contribute to wider application of AI across the business Technical Skills required: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven experience in developing and deploying AI models, preferably within high-performance or real-time environments. Proficiency in programming languages such as Python More ❯

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. We are a talented, collaborative and enthusiastic group who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus … on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. What you'll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation … of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we're looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Experience working with Open Banking or Credit Bureau More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid, 2 days per week) The Opportunity Join a fast-growing AI company spun out from world-class academic research and now partnering with major brands like Boots. You’ll help design, build, and scale intelligent systems that make a tangible difference across healthcare, mobility, and retail, turning … and deployment, from data pipelines and experimentation to production and monitoring, shaping how AI moves from research to real-world use. What You’ll Do Design, implement, and optimise ML models for large-scale behavioural and temporal data Build and maintain robust, cloud-based data and model pipelines Deploy, monitor, and iterate on production ML systems (forecasting, classification, behavioural modelling … AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What You Bring Degree in Computer Science, Engineering, or related technical field 2+ years’ experience in applied ML, data engineering, or AI systems development Strong skills in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL Experience with cloud platforms and modern ML infrastructure (e.g. Databricks, MLflow, Docker More ❯

Technical Lead (Software, Data & ML) Northampton – On-site with flexibility where necessary | Up to £85,000 per annum + bonus An exciting opportunity has arisen for an Technical Lead to join a leading organisation and play a key role in driving innovation, leading technical delivery, and supporting business growth. Key Responsibilities: Support the Head of Technology in leading the technical … team, overseeing daily operations and project delivery. Manage full-stack software development projects from conception through to deployment. Lead the design, development, and deployment of machine learning models and data tools within a cloud environment to improve credit and lending decisions. Collaborate with underwriters and business teams to enhance and automate credit risk modelling and workflow processes. Oversee … external relationships, including cybersecurity operations and infrastructure support. Balance hands-on technical delivery with strategic oversight and continuous improvement. Experience required Strong bacgkround in Software Development, Data Science or Machine Learning Advanced proficendy in Python and SQL Expereince with Cloud Platforms (AWS, Azure or GCP) Expertise with CRM's Strong understanding of cybersecurity, IT Infrastrcuture and Project Management More ❯

learning systems that help businesses in retail, healthcare, and mobility unlock the true value of their data. What will I be doing? You'll be developing modular ML solutions that power real-world applications - from predictive analytics and pricing optimisation to scenario modelling. This is hands-on engineering work where you'll build systems that enhance human decision … and technical depth across the full development lifecycle. What we're looking for Strong Python programming skills and OOP fundamentals Experience with SQL and working with data pipelines Practical machine learning knowledge and a passion for applying AI responsibly A collaborative, curious mindset that thrives in ambiguity and values transparency in how models work What's in it More ❯

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary More ❯

to align to business needs - 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 and applications To be considered suitable More ❯

to align to business needs - 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 and applications To be considered suitable More ❯

to align to business needs - 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 and applications To be considered suitable More ❯

in leading the technical team, overseeing daily operations and project delivery. Manage full-stack software development projects from conception through to deployment. Lead the design, development, and deployment of machine learning models and data tools within a cloud environment to improve credit and lending decisions. Collaborate with underwriters and business teams to enhance and automate credit risk modelling … external relationships, including cybersecurity operations and infrastructure support. Balance hands-on technical delivery with strategic oversight and continuous improvement. Experience required Strong bacgkround in Software Development, Data Science or Machine Learning Advanced proficendy in Python and SQL Expereince with Cloud Platforms (AWS, Azure or GCP) Expertise with CRM's Strong understanding of cybersecurity, IT Infrastrcuture and Project Management More ❯

process, and organisational dimensions. Champion agile and product-centric operating models for technology teams within client environments. AI & Data-Driven Innovation Identify and lead opportunities to embed AI and machine learning into the retail value chain (e.g., demand forecasting, personalisation, pricing optimisation, customer insights). Shape AI-enabled commerce platforms, search and recommendation systems, and automation-led operational … order management , POS , ERP , CRM , and loyalty systems . Demonstrated experience with cloud-native architectures (AWS, Azure, GCP), microservices , APIs , DevOps , and data platforms . Familiarity with AI/ML use cases in retail and knowledge of GenAI advancements relevant to customer experience and operations. Strong understanding of agile delivery models , product management practices , and enterprise architecture. Excellent communication and More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

materials behaviour Proficiency in Python for engineering and data analysis tasks Experience working with large, complex datasets, particularly from sensor systems Familiarity with signal processing, time-series analysis, or machine learning Excellent communication skills with the ability to convey complex technical concepts clearly to diverse stakeholders Desirable skills Understanding of SCADA systems, strain gauges, accelerometers, or similar structural More ❯

Essential Skills Strong programming skills in Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment More ❯

Essential Skills Strong programming skills in Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment Desired Skills and Experience Pricing, Promotions, Forecasting, Research More ❯

Essential Skills Strong programming skills in Python Solid understanding of SQL and data manipulation Background in Mathematics, Statistics, or Computer Science (MSc or PhD preferred) Experience building or deploying machine learning models Ability to work in a fast-paced, collaborative startup environment Desired Skills and Experience Pricing, Promotions, Forecasting, Research More ❯

and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. More ❯

and Experience: 5+ years of experience delivering end-to-end data science solutions in a commercial setting. Proven ability to lead projects independently and drive results. Strong expertise in machine learning, predictive modelling, and AI. Proficient in Python, R, SQL; experience with Power BI or similar tools. Exposure to Gen AI tools or techniques is a strong plus. More ❯