18 of 18 Machine Learning Jobs in Nottingham

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) 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 ❯

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 ❯

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 ❯

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 ❯

data - and they’re looking for engineers who thrive on solving complex problems and creating real-world change. Their team of researchers, engineers, and designers is developing modular, explainable machine learning solutions that power next-generation retail and healthcare systems. From predictive analytics and pricing optimisation to scenario modelling, they’re using AI to make decision-making smarter More ❯

from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ More ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

and see your models make a measurable difference in how organisations operate. What You’ll Do Analyse and model large-scale behavioural and temporal datasets Build, validate, and deploy ML models for forecasting, classification, and behavioural prediction Develop scalable data pipelines and collaborate with engineering and product teams to operationalise models Communicate insights clearly to both technical and non-technical … audiences What You Bring Strong academic background (STEM or data/AI-related field) 2+ years’ experience in applied data science or ML Skilled in Python (pandas, scikit-learn; PyTorch/TensorFlow a plus) and SQL Hands-on experience with real-world, messy datasets Curious, analytical, and motivated by practical impact Why Join Work with a modern AI/ML More ❯

stick, you’ll need to roll up your sleeves, partner with business leaders, and deliver solutions that make a measurable difference. We require hands-on experience building and maintaining ML/AI predictive models. You'll need to evidence previous advanced predictive modelling or end-to-end ownership of said models. We’re specifically looking for someone experienced with the … full lifecycle of data science projects and advanced modelling (ML/AI) - not just analysis, dashboards, or oversight. This is about leading your own projects, driving outcomes, and being accountable for real commercial impact. Location: Nottingham (4 days per week in office) Salary: £55,000 - £65,000 (DOE) Why This Role Matters Your work will shape how the business operates. More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

code alongside the team (this is a hands-on role) Align technical delivery with business goals through close collaboration with stakeholders Mentor and support developers, fostering a culture of learning and improvement Maintain high standards for code quality, scalability, and team communication What You’ll Bring 7+ years’ experience in software engineering, including recent time in a senior or … and CI/CD practices A thoughtful approach to system design, security, and performance at scale Great communication and stakeholder engagement skills Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview Backend: NestJS/Node.js/TypeScript Frontend: Vue 3/TypeScript Cloud: AWS Databases: PostgreSQL/MongoDB Tools: Rush (monorepo), GitHub, Notion More ❯

Prometheus, Grafana, Datadog) CI/CD pipeline management (GitHub Actions, GitLab CI, Jenkins) Firewall-as-a-Service solutions (e.g., Cloudflare) Endpoint/device management (e.g., Intune, NinjaOne) Exposure to ML Ops (deployment, scaling, monitoring ML workflows More ❯