14 of 14 Machine Learning Jobs in Newcastle upon Tyne

be passionate about bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles. Key Responsibilities Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models. Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes. … AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control, CI/CD, and infrastructure as code. Ensure the security, reliability, and compliance of data pipelines and deployed ML solutions. Mentor … a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration More ❯

a driven and curious Graduate Data Scientist to join our growing data science team. This is a fantastic opportunity to gain hands-on experience working on real data challenges, learning from experienced professionals, and contributing to impactful projects from day one. Whether your background is in Data Science, Statistics, Mathematics, Computer Science, or a related field, if you have … strong analytical skills and a passion for learning, we want to hear from you. What You’ll Be Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover … patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation). Business Insight Generation : Translate data findings into actionable insights that drive decision-making. Data Storytelling : Present results through visualisations, reports, and presentations to both technical and non-technical audiences. Collaboration : Work closely with data engineers, analysts More ❯

ML Engineer Erskine, Scotland or Newcastle, UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. Youll play a key role in designing, developing, and deploying … scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment. Key Responsibilities Design and implement robust machine learning models using modern frameworks and libraries. Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions. … Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate models into production environments. Monitor model performance and retrain as needed to ensure accuracy and efficiency. Collaborate with cross-functional teams to integrate AI solutions into More ❯

a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams in Newcastle or Erskine. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle tools … MLflow, Kubeflow, Azure ML Pipelines Experience working with distributed data processing using PySpark. Solid understanding of software engineering principles and version control (e.g., Git). Excellent problem-solving skills and ability to work independently or in a team. Collaborate with cross-functional teams to integrate AI solutions into scalable products Ensure best practices in data engineering and contribute to architectural … Proven experience in MLOps or DevOps roles within machine learning environments Strong programming skills in Python, with hands-on experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloud-native ML platforms and scalable deployment strategies Excellent problem-solving skills and a collaborative mindset Excellent problem-solving skills More ❯

R&D team sits in the heart of it. The team's primary responsibility is to pioneer the approaches of military robotics and autonomous systems and theirmachine 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 ❯

exposure to cutting-edge tools and datasets. Responsbilities Working hands-on with macroeconomic and structural models, including those used for forecasting and policy simulation Applying large language models and machine learning to extract insights from economic and financial reports Analysing complex datasets to identify patterns and economic implications Supporting the development of new methodologies and contributing to internal …/GPA 3.5+ or equivalent) Experience running macroeconomic models and preparing analytical outputs Skilled in working with large datasets and identifying economic trends Familiarity with large language models and machine learning techniques High proficiency in English Must have the right to work in the UK or the US (please note sponsorship is not offered) Key Benefits Exposure to More ❯

ML Engineer Erskine, Scotland or Newcastle, UK Location: Erskine, Scotland or Newcastle, UK Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Were seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area click apply for full job details More ❯

Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilize data to support AI, ML, and BI Proficiency in data science languages/tools such as R, Python, SAS Awareness of ITIL (Incident, Change, Problem management) Diversity, Equity and Inclusion To attract the best people More ❯

the integration of advanced sensor systems, machine learning, and predictive analytics for real-time process control. Drive adoption of Industry 4.0 technologies such as IoT, AI/ML, and digital twins. Manage technical drawings and documentation (schematics, wiring diagrams, SLDs, IO lists, cable schedules). Design, specify, install, and commission control panels and motor control systems (MCCs, DOL … VFD, soft start). Collaborate with maintenance teams by providing training on machine control systems and supporting complex breakdowns. Ensure compliance with BS:th Edition, BS EN 60204, PUWER 98, ATEX, and functional safety standards. Work with automation simulation software (e.g., ABB, Yaskawa), PLCs, and LabVIEW troubleshooting. This role is ideally suited to a Junior to Mid-Level Automation More ❯

real-time embedded platforms covering initial architecture design, specifying hardware, OS and libraries, code writing and review, source control and release management Solid understanding of computer vision techniques and machine learning principles Creative problem solver who knows when to ask questions and how to manage time effectively Reliable, adaptable, and self-aware - fits naturally into a collaborative engineering 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 ❯

dedicated to leveraging data and AI to enhance business strategies and decision-making across various sectors. We are seeking a Data and AI Engineer to design, develop, and deploy machine learning models that transform data into actionable insights, driving growth and enhancing decision-making for our diverse clientele click apply for full job details More ❯

Location: Newcastle, England or Erskine, Scotland Type: Full-Time Remote Work: Hybrid options available Salary: Competitive + Benefits About the Role Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? Were looking for a talented OPS Engineer to join our growing teams in Newcastle More ❯