1 to 25 of 90 Machine Learning Jobs in the East Midlands

a highly motivated graduate to join a cutting-edge AI engineering team. You’ll work alongside experienced data scientists, researchers, and software engineers to design, build, and deploy scalable ML models that drive impactful products. The ideal candidate will combine strong technical foundations with creativity, curiosity, and a willingness to learn in a fast-paced environment. Key Responsibilities Research, develop … and implement machine learning models for real-world applications. Collaborate with cross-functional teams to integrate ML solutions into production systems. Conduct data preprocessing, feature engineering, and model evaluation using modern frameworks. Contribute to experimentation, prototyping, and optimization of AI algorithms. Stay up to date with the latest developments in ML/AI research and apply innovative techniques … to product challenges. Requirements Master’s degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science , or a related technical field. Strong understanding of core ML concepts (supervised/unsupervised learning, neural networks, NLP, etc.). Hands-on experience with frameworks such as TensorFlow , PyTorch , or scikit-learn . Proficiency in Python and familiarity with common data More ❯

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 ❯

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 on-site) I’m partnering with a fast-growing AI company that originated from leading academic research and now works with major brands, including Boots. They’re looking for an experienced AI/ML Engineer to help design, build, and scale intelligent systems … the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions of users. Key Responsibilities: Design, build, and optimise ML models for large-scale behavioural and temporal datasets Develop and maintain … scalable, cloud-based data and model pipelines Deploy, monitor, and improve production ML systems (forecasting, classification, behavioural modelling) Collaborate with data scientists, software engineers, and product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a More ❯

Machine Learning in Production 📍 Nottingham (Hybrid – 2 days onsite) I’m supporting a rapidly growing AI company spun out of leading academic research, now delivering high-impact ML solutions for major UK brands. They’re looking for a sharp, technically strong Data Scientist with both an excellent academic foundation and hands-on experience deploying ML models in the … real world. The Role You’ll work end-to-end on applied ML problems - from exploration and modelling through to production deployment and post-launch performance analysis. If you want to build models that actually ship and shape real user outcomes, this role is built for you. What You’ll Do Analyse and model large-scale behavioural and time-series … a quantitative field (Master’s or PhD advantageous) Real production experience deploying machine learning models Excellent SQL skills and strong Python capability Confidence working across the full ML lifecycle, from exploration to monitoring in production Ability to translate complex technical work into actionable outcomes Why Join Work with a modern cloud-based ML stack on applied, high-impact 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 ❯

fraud, marketing, credit risk, and customer management. You’ll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior … analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with … notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear communication skills. Degree (2:1 or equivalent) in a numerical discipline or relevant industry More ❯

fraud, marketing, credit risk, and customer management. You'll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning, experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., credit risk, fraud, marketing response, collections) with guidance from senior … analyses to identify opportunities and support business roadmaps. Collaboration & learning : Work in cross-functional squads, share findings with technical and non-technical audiences, and grow your expertise in ML, AI, and GenAI tools. Key Skills and Experience: 1-3 years of relevant experience delivering parts of the data science lifecycle. Proficiency in Python (or R), SQL, and experience with … notebooks, Git workflows, and Power BI. Working knowledge of supervised machine learning (e.g., gradient boosting, logistic regression), evaluation metrics, and experiment design. Exposure to MLOps concepts, cloud platforms (e.g., Azure), and GenAI tools is a strong plus. Structured thinking, strong problem-solving, and clear communication skills. Degree (2:1 or equivalent) in a numerical discipline or relevant industry 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Information Officer (CDIO) and Chief Clinical Information Officer (CCIO) to ensure digital innovation in pharmacy services. To deputise for the chief pharmacist as and when required. Champion AI and machine learning technologies in pharmacy automation and digital medicine. Digital Pharmacy Systems Management Oversee the planning, implementation, and optimisation of Trust-wide digital pharmacy systems, including EPR and EPMA. More ❯

forecast housing demand, rent arrears, and 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 with housing officers and … with social housing data systems (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 background in data mining, pattern More ❯

forecast housing demand, rent arrears, and 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 with housing officers and … with social housing data systems (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 background in data mining, pattern 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 ❯

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 ❯

Data Analyst role within 12 months of graduation, we’ll refund 100% of your fees. What You’ll Gain Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) Real Projects: Work on real-world data challenges to showcase in your CV More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯