23 of 23 Permanent Machine Learning Jobs in the North East

role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn … this is the perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work … and selection of relevant input features to improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse 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 ❯

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 ❯

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 ❯

delivering data science and/or AI solutions for stakeholders You should have relevant knowledge and experience in one or more of the following areas: Statistical Modelling, Artificial Intelligence, Machine Learning, Machine Vision, MLOps/LLMOps, Data Analytics, Data Engineering, Data Warehousing, Data Visualisation. Ability to communicate and teach complex technical concepts You will succeed in this 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 ❯

Minimum of 2-3 years of experience in database and project management, including programming, data mining, analysis, and reporting. BA or master's in computer science, information systems, mathematics, machine learning, or similar (or a data analytics certification acquired through a specific program). Experience of SQL Server Azure stack (Azure DevOps, Azure SQL Server, Data Factory, etc 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 ❯

both technical and non-technical audiences. A collaborative mindset and a passion for football performance. Bonus points if you know your way around HTML, JavaScript, Git/GitHub, or machine learning! About the team We’re building something special here — and we want someone who’s excited to be part of and ready to help us stay at More ❯

Excellent strategic thinking, analytical, and problem-solving skills. Strong leadership and communication abilities; experience in cross-functional collaboration. Familiarity with agile development methodologies and tools. Experience with AI/ML applications in cardiology or diagnostics. Knowledge of cybersecurity and data privacy regulations (e.g., HIPAA, GDPR). Experience with international teams and global product launches. Attributes We Value Creative thinker, proactive More ❯

site client workshops, demonstrations and training, usually up to 2-3 times per year. Desirable Experience Familiarity with Robotics Middleware (e.g., ROS) and distributed robotics systems Simulation, Robotics and Machine Learning knowledge Experience deploying robots and/or autonomous vehicles in real world environments Experience in cybersecurity and/or Secure by Design concepts Experience designing and implementing … concise and professional manner and thrive in a team environment. You actively foster a positive, inclusive culture and willingly share your knowledge and support others. You are passionate about learning and growth and are motivated to expand your skills, ask questions, and engage actively in your development. To apply please send a recent copy of your CV and a 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 ❯

wants to shape the future of our products A team player who values collaboration over competition Experience with .NET, Azure, Angular, and DevOps tools Bonus: interest in AI/ML, digital twins, or predictive analytics Teesside/Hybrid - 3 days in office/2 days from home 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 ❯

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 ❯

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 ❯

strategically minded Solutions Architect to drive the technical direction and governance of our core domain initiatives. This role requires a strong blend of modern technology expertise (GCP, AI/ML, Core Banking), rigorous architectural governance, and the ability to influence strategy through commercial acumen and Agile principles. The Solution Architect partners with product and technical teams to craft highly scalable … Proven track record of architecting within Financial Services or other highly regulated industries. Technical Depth: Desired experience with cloud and modern FinTech/AI solutions (e.g., Vertex AI, Thought Machine, Flowable, or similar Core Banking/Workflow tools). Delivery Mastery: Deep understanding and practical application of Product-oriented, Agile, and Lean methodologies, including Continuous Delivery. Documentation Rigour: Familiarity More ❯