26 to 50 of 59 Machine Learning Jobs in the North East

architectures, agentic frameworks) for company-wide consumption. Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias … time-to-market for AI features, and ROI of implemented AI tools. Qualifications & Profile: Technical Background: Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. AI & Engineering Mastery: Deep ...

Azure Cloud Services REST APIs SQL and NoSQL databases Git-based source control CI/CD pipelines Data and analytics platforms Emerging AI and Machine Learning technologies ...

running Spark workloads and reviewing output logs Amazon Athena - ad hoc querying of data in S3 Amazon Textract and Comprehend - familiarity with AI/ML document extraction and NLP services AWS S3, IAM, CloudWatch, EC2, ECR - core platform services used day-to-day AWS console proficiency - navigating, configuring, and monitoring ...

Controls, or SABSA. Holds or is working towards CISSP, CISM, CCSP, or equivalent. GenAI security: experience assessing and mitigating risks in AI/ML solution architectures, including data exposure, prompt injection, model supply chain, and output integrity. Additional InformationWhy Version 1? At Version 1, we believe in providing our employees ...

ability to read electrical schematics. Demonstrable knowledge and experience of current software engineering practices for Remote and Autonomous Systems. Experience with ROS/ROS2, machine learning and OpenCV is advantageous. Experience of robotics, machine control systems and automation is desirable. Knowledge of CODESYS or similar PLC software … 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 complex processes and procedures to colleagues. Self-motivating, proactive and results-driven approach. Collaborative ethos is essential. Personal ...

Engineer to build the application-level AI capability inside a large-scale AI adoption programme for a central government department. Where the Machine Learning Engineer trains models and the MLOps Engineer runs the platform, you sit closest to the end product: turning LLMs, retrieval systems, and agentic workflows … government or the wider public sector Familiarity with GOV.UK Service Standard expectations Exposure to open-source LLM tooling or communities Familiarity with AI/ML tooling on AWS, Azure, or GCP Location and Working Pattern Hybrid, based from Newcastle upon Tyne, with on-site attendance required for workshops, knowledge-transfer ...

RedTech Recruitment seeks a Machine Learning Research Engineer specializing in NLP/LLMs to explore new concepts, prototype approaches, and assess feasibility for industry-leading software solutions. Cambridge based … with a 3 days in-office, 2 days remote arrangement. The ideal candidate holds a Ph.D. in a relevant field, with strong NLP/ML expertise, publications, and experience with PyTorch, TensorFlow and Scikit-Learn, plus data science work on large datasets. #J-18808-Ljbffr ...

microservices JavaScript, TypeScript, HTML5 and CSS3 Experience working within Agile/Scrum teams Desirable Skills Azure Blazor Entity Framework/EF Core AI or Machine Learning integrations Docker and containerisation CI/CD pipelines and DevOps Git version control Benefits Fully remote working £40,000 - £50,000 salary … days holiday + bank holidays Company pension Ongoing learning and professional development Opportunity to influence technical decisions and architecture Supportive, collaborative engineering culture If you're looking for a role where you can work with modern Microsoft technologies, contribute to meaningful projects and have genuine influence over technical direction ...

Lead AI Engineer to design, build, and operationalize AI solutions at enterprise scale. The role involves leading teams to implement generative AI and machine learning solutions, ensuring ethical standards and business impact. The candidate will have experience with AI deployments across cloud platforms like Azure ...

critical software A degree in Software Engineering, Computer Science, or equivalent (2:1 minimum) Nice to Have: Familiarity with ROS/ROS2 Experience with machine learning, OpenCV, or CODESYS/PLC environments A background in automotive safety systems, defence, robotics, or autonomous vehicle development What ...

behavior, build price elasticity models, and directly inform our pricing and brand strategies. We need a storyteller who codes - someone who can build robust machine learning models and then clearly explain the "why" to non-technical stakeholders. Behavioural & Pricing Models: Design and develop sophisticated pricing and elasticity models ...

data pipelines to collect, store, and analyse process data. Collaborating with process engineers to implement advanced process control (APC), statistical process control (SPC), and machine learning models. Leading multidisciplinary projects with cross functional collaboration, fostering a culture of data-driven decision-making. Evaluating, selecting, and managing external software ...

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 ...

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 ...

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 ...

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. This step ...

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. This step ...

expected Excellent oral & written communication skills Experience programming using C++ in HPC environments desirable. Knowledge and experience in the application of data science and machine learning to subsurface imaging challenges a bonus Career Advancement: SLB Eureka Technical Career (SETC) provides proven technical contributors with a career path that ...

software boundaries. Experience implementing CI/CD processes for safety-critical software is required. Familiarity with ROS/ROS2 is advantageous, and experience with machine learning, OpenCV or CODESYS/PLC environments is beneficial. A background in automotive safety systems, defence, robotics or autonomous vehicle development would ...

data pipelines to collect, store, and analyse process data. Collaborating with process engineers to implement advanced process control (APC), statistical process control (SPC), and machine learning models. Leading multidisciplinary projects with cross functional collaboration, fostering a culture of data‐driven decision‐making. Evaluating, selecting, and managing external software ...

SaaS, or data-driven enterprise solutions. Expertise in managing customer-facing projects, balancing technical execution with business impact. Solid understanding of AI/ML concepts, data integration, and enterprise software implementation. Excellent communication and stakeholder management skills, with the ability to translate technical details into business value. Experience with agile ...

implementation. You will work with the CTO and senior stakeholders to shape data and AI strategy, delivering enterprise reporting, advanced analytics, and AI/ML solutions. #J-18808-Ljbffr ...