9 of 9 Machine Learning Jobs in Newcastle upon Tyne

team sits in the heart of it. The team's primary responsibility is to pioneer the approaches of military robotics and autonomous systems and their machine learning (ML) components. The team is involved in the full life cycle of the project. They work closely with other leading military robotics companies and customers all over the world. To support … in relevant industry that will complement and enhance RAS development Experience with Linux and developing real-time software in C/C++ or Python is essential. Experience of robotics, machine control systems and automation is desirable. A basic understanding of electronics and the ability to read electrical schematics is essential. Demonstrable knowledge and experience of current software engineering practices … for RAS. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Knowledge of CODESYS or similar PLC software is beneficial. Experience working in a multi-disciplined engineering team. Ability to investigate and interpret data, issues, and situations, to make sound decisions in high-stress situations. Appetite for learning new technologies and applications. Ability to communicate More ❯

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which requires 5+ years UK address history at the point of application. Hybrid Working: Please … you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent data products, leveraging modern cloud … and AI technologies. Key Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow and AWS services. Apply data More ❯

your future career. You will design and build software solutions that harness the power of AI tools and modern development practices. Role You’ll receive a blend of structured learning, hands-on experience, and tailored apprenticeship training to help you grow into a confident tech professional. From day one, you’ll be supported by mentors, coaches, and a dedicated … week training programme designed to give you a strong foundation in both technical and professional skills. You’ll explore the fundamentals of AI, and data handling while also learning how modern engineering teams operate—using agile methods, collaboration tools, and real-world problem solving. Project-based learning: You’ll work on real challenges for real clients. With support … a wide range of technologies and systems, along with training to help you understand and implement them effectively. Professional Development: We invest in your continuous growth through our extensive learning portal, offering curated pathways, classroom-based and self-paced courses, and on-demand resources to keep your skills sharp throughout your apprenticeship. Apprenticeship Training: You’ll study towards the More ❯

checks and metrics. Experience in creating or maintaining production software delivery pipelines using common CI/CD tools (GitHub Actions, Azure DevOps, Jenkins, CircleCI, etc.). Experience in productionising machine learning algorithms. Familiarity with Infrastructure as Code (Terraform, CloudFormation, ARM templates, etc.). Experience with data reporting and visualisation tools (Power BI, Tableau, Qlik, etc.). Benefits: Competitive 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 ❯

for you? Full training on AWS – perfect for candidates looking to upskill in cloud technologies. Exposure to cutting-edge projects across diverse industries. A supportive team culture focused on learning and growth. Your Day-to-Day Build modern data platforms and services using DevOps practices. Work on large-scale distributed workloads, batch and streaming pipelines, and implement robust monitoring … Azure, or GCP). Understanding of big data tools (EMR, Databricks, DataProc). Knowledge of data architectures (Data Lakes, Warehouses, Mesh). A proactive mindset with a passion for learning new technologies. Nice-to-Have Skills Automated data quality checks and metrics. CI/CD pipeline experience (GitHub Actions, Azure DevOps, Jenkins, etc.). Exposure to machine learning 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 ❯

definitive technical advice to diverse teams, negotiating and influencing to gain consensus on complex or contentious issues. Contribute to the exploration and adoption of new technologies, including AI/ML and automation. Technical Skills & Experience AWS Cloud Expertise Deep understanding of core AWS services: EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, etc. Experience with serverless architectures and containerisation (ECS, EKS … projects and justify decisions with solid analysis and evidence. Experience building and maintaining CI/CD pipelines and infrastructure-as-code at scale. Awareness of open-source AI/ML models and how to integrate them into cloud-based solutions. Awareness of robotic process automation (RPA) tools such as UiPath or Blue Prism. Able to provide technical insight into wider More ❯

Sales, Consulting, AI Product Manager, AI enthusiast roles. Strong understanding of one or more industry domains: A&D, FSI, Healthcare, Central Government, or Life Sciences. Expertise in AI/ML frameworks, Data platforms, and Cloud ecosystems(Azure, AWS, or GCP). Ability to translate complex technical concepts into clear business value propositions. Excellent stakeholder management and communication skills able to … intersection of business innovation and emerging AI technologies. Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries. Collaborative, forward-thinking environment with continuous learning and development opportunities. More ❯