12 of 12 Permanent Machine Learning Jobs in Nottinghamshire

making that happen. That’s why we’re looking for a Machine Learning Engineer to join our growing AI & ML Engineering team. If you’re excited by the idea of building intelligent solutions that make a real-world impact, this could be the role for you. This … Databricks or Azure Cognitive Services will be a big plus. If you’ve worked on end-to-end Gen AI solutions or have applied ML in retail or ecommerce settings, we definitely want to hear from you. You’ll also need to be a great communicator able to explain complex ...

genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm … development. Further developing and maintaining existing risk and demand models. Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. ...

based Source Control. Experience of State management libraries. SQL experience. Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work ...

knowledge and experience with cloud technologies. Understanding of security standards and compliance requirements within the industry. Experience in engineering or working with AI/ML systems. Proven problem-solving skills with a focus on building robust, fault-tolerant systems. Experience scaling software and infrastructure in response to growth. Effective leadership ...

GRPC. Containerization using docker/Kubernetes Exposure to Java based client frameworks Exposure to Azure, cloud services, or distributed architectures. Interest in AI/ML and how it can enhance enterprise software. Agile sprint methodology Why You’ll Love working here Real Impact: Ship features that solve real problems Strong ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

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 ...

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 ...

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 ...

linking product initiatives to overarching business goals and identifying market opportunities. AI Enthusiasm: A hands-on, practical insight into effectively implementing LLMs and machine learning to establish robust product advantages. Executive Presence: Skilled in leading boardroom discussions and translating intricate technical roadmaps into clear commercial outcomes for stakeholders. ...

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 … 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 ...

high-level consultancy and firsthand engineering expertise to modernise High-Performance Computing (HPC) environments with a focus on containerisation of HPC and HPC/ML workloads, cluster optimization, and MPI-aware workflows. Responsibilities include assessing the existing HPC infrastructure, advising on best-practice for container strategies, and delivering technical recommendations … Conduct rapid reviews of existing HPC infrastructure, including Beowulf clusters, Slurm job schedulers, workflow execution patterns, and key use cases. Analyze current HPC/ML workloads and identify performance constraints, containerization opportunities, and runtime optimization options. HPC Containerization Strategy Produce a strategy for MPI-optimized container images using tools such ...