1 to 25 of 78 Machine Learning Jobs in Tyne and Wear

Netherlands. About the Team: At Typeform, the Data & Insights team's charter is to make data actionable through multiple mediums—reports, dashboards, AI/ML-models—that help us fuel growth and drive efficiencies within our business. Within that charter, our Data Science practice focuses on building cutting-edge machine … learning systems that enable Typeform to deliver more personalized and impactful experiences. You will work closely with cross-functional teams to implement ML models, build robust pipelines, and contribute to the innovation of our AI-powered products, including leveraging LLMs and generative AI. Things you'll do: Tasks ...

Learning Engineer Location: Remote We are hiring Machine Learning Engineers to support advanced benchmarking and performance-improvement projects across real-world ML workloads. This part-time, remote opportunity is ideal for early-career ML engineers or ML-focused PhD candidates who want to work on high-impact … structured tasks with measurable outcomes. What You'll Do Draft detailed natural-language plans and code implementations for ML tasks Convert novel ML problems into agent-executable tasks for RL environments Identify failure modes and apply golden patches to LLM-generated trajectories What You'll Bring 0–2 years ...

protecting consumers and their trust in brands drives everything we do, making Corsearch a force for good in the world. The Role As an ML Engineer you'll play a crucial role in advancing our shared mission of protecting and enhancing the world's most valuable brands. You will design … such as object detection, image classification, text extraction, and sentiment analysis. Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with the ability to translate business challenges into technical solutions. Full professional English proficiency Corsearch is an equal ...

trusted technical advisor to customers and prospects. Build relationships with technical stakeholders and decision-makers. Lead product demonstrations and discovery sessions to understand client ML environments. Collaborate with Sales to develop compelling value propositions tailored to client needs. Address technical objections and coordinate with internal engineering and product teams … resolve challenges. Create educational content such as blog posts, documentation, and recorded assets on AI/ML topics. Engage with machine learning communities to share insights and best practices for deploying AI in production. What We're Looking For Communication Skills: Ability to simplify and clearly articulate complex ...

Developer Relations Manager - Artificial Intelligence passionate about developing modern Artificial Intelligence, and Generative AI applications with a leading CSP. Focus will be on Deep learning, which is making a major impact across research and industry. This Developer Relations Manager will lead our partnerships with developers, within a large partner … work with engineering, research, applications, and new initiatives. We need creative people who want to build a career at the intersection of AI, machine learning, deep learning, and data analytics. Development Relations Manager should be passionate about innovation, building and driving engineering partnership and strategies to integrate ...

Purpose of position As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream, you'll work closely with business teams and data scientists to design, maintain, and improve machine learning applications. Your main responsibilities will include managing existing ML workloads … building new batch and on-demand pipelines to support advanced AI/ML models. You'll also contribute to developing Generative AI solutions and applications for the emerging Agentic Era. You'll collaborate with a global team to create scalable data architectures optimised for AI/ML, source and prepare ...

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 … 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 ...

applications. Conduct ONA, workforce segmentation, and employee sentiment analysis. Partner with HRIS, engineering, and business teams to design scalable data pipelines and deploy ML/AI models. Create dashboards and visualisations that bring workforce insights to life for leaders. Support evidence-based decision-making across HR and the wider business. … Azure, GCP). Knowledge of Snowflake and experience integrating with HR and business data. Familiarity with MLOps principles, CI/CD, and deploying ML and AI models in production environments, including monitoring and retraining pipelines. Strong understanding of machine learning algorithms for classification, regression, clustering, and time series ...

applications. Conduct ONA, workforce segmentation, and employee sentiment analysis. Partner with HRIS, engineering, and business teams to design scalable data pipelines and deploy ML/AI models. Create dashboards and visualisations that bring workforce insights to life for leaders. Support evidence-based decision-making across HR and the wider business. … Azure, GCP). Knowledge of Snowflake and experience integrating with HR and business data. Familiarity with MLOps principles, CI/CD, and deploying ML and AI models in production environments, including monitoring and retraining pipelines. Strong understanding of machine learning algorithms for classification, regression, clustering, and time series ...

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 … 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 ...

Role: Machine Learning Intern (Remote) Location: Remote (US, UK, CA, IE, AU, NZ) Pay: Competitive monthly compensation up to $10,000, based on role and performance We're looking for detail-oriented professionals to support a variety of content and AI-related evaluation tasks. This role involves reviewing ...

Bioinformatics. Proven hands-on experience with Clustal Omega. Strong understanding of data-driven research and computational modeling. Interest or experience in AI/ML, scientific computing, or simulation-based learning. Excellent analytical and communication skills. Previous experience in AI, machine learning, or computational research projects (preferred). DataForce … provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine ...

Bioinformatics. Proven hands-on experience with Clustal Omega. Strong understanding of data-driven research and computational modeling. Interest or experience in AI/ML, scientific computing, or simulation-based learning. Excellent analytical and communication skills. Previous experience in AI, machine learning, or computational research projects (preferred). DataForce … provider of language and technology solutions for global business, with offices in more than 100 cities worldwide. We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine ...

functional teams to define priorities and long-term strategy. Translate complex, open-ended problems into structured engineering approaches grounded in data analysis, experimentation, and machine learning principles. Champion technical excellence and mentorship, fostering best practices in AI development and nurturing a culture of inclusivity, curiosity, and collaboration. Shape … business knowledge to connect abstract modeling and analysis tasks with business value NICE TO HAVE A relevant advanced degree (Masters or PhD) in Machine Learning, Artificial Intelligence, Statistics, or a related field Proven track record of planning a multi-year roadmap in which shorter-term projects ladder ...

publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here … latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form. For additional information see our Candidate Privacy Notice. ...

revolution, AI will make us smarter and power the next. What will make this intelligent industrial revolution possible? A new computing model — GPU deep learning — that enables computers to learn from data and write software that is too complex for people to code. What You Will Be Doing Study … develop cutting-edge techniques in machine learning, graphs, data analytics and deep learning, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures. Work directly with key customers to understand the current and future problems they ...

process by bridging the gap between technical teams and non-technical salespeople. The role helps sales teams select and prospects understand the AI/ML solution, demonstrates how it solves their business problems, and assists in demonstrating AI technical excellence to the client in the early sales process This role … deployment Cloud & Hyperscalers – Practical experience with at least two of the following is required: AWS Bedrock/Sagemaker, Google Vertex AI, OpenAI and Azure ML is required An understanding of underlying statistics, machine learning and data science, data engineering and big data concepts is required An understanding ...

tuning, and best practices to enable advanced analytics and machine learning use cases. Partner with data engineering, BI, analytics, and AI/ML teams to design robust, reusable, and production-grade data pipelines and model deployment frameworks. Champion the adoption of Databricks capabilities including Delta Lake, Unity Catalog … scalable AI data platforms. Skilled in data modelling and solution design, applying dimensional modelling principles (e.g., Kimball methodology) to support advanced analytics and machine learning. Demonstrated success delivering enterprise-grade data and AI products in complex, large-scale environments with high reliability and performance requirements. Solid grounding in data ...

Controls and Automation Engineer is available a growing manufacturing company in the Newcastle area EXCITING ROLE The role will involve integrating sensor, machine learning and predictive … analytics systems, managing electrical control and instrumentation projects, supporting the maintenance team and drive the adoption of digital industry technologies such as IoT, AI, ML etc. You will contribute to the strategic engineering roadmap and train maintenance staff on machine control systems. You will also interpret, generate, and manage ...

delivering the Digital Support Technician apprenticeship ensuring learners gain core digital support competencies such as troubleshooting, system configuration, and user support. This includes contextualising learning to real workplace scenarios, helping apprentices build confidence in both traditional IT support and emerging AI-enhanced workflows. By embedding AI technologies like Microsoft … automation. Coach staff in critical skills such as prompt engineering, AI risk mitigation, ethical considerations, and change leadership to ensure responsible, scalable adoption. Align learning delivery with organisational needs, helping teams to build AI adoption roadmaps, configure Microsoft 365 Copilot, and extend functionality using Power Platform and Azure AI. ...

data management system and process design and implementation, Data quality system and process design and implementation, Major focus on data science, data visualisation, AI, ML, Documentation of solutions (e.g. data modelling, configuration, and setup etc.) including HLD and LLD, Working within a project management/agile delivery methodology, Managing Team ...

across product and operational data Theme extraction from defect reports and customer feedback Helping challenge assumptions with data-driven evidence Tech Environment Python & SQL Machine Learning, statistical modelling, data manipulation Cloud-first setup (Azure preferred; Databricks is widely used) Exposure to LLMs or AI agents is extremely valuable ...

Modernization & Migration Application & Database Modernization Platform Engineering (IaC/EaC, DevSecOps & SRE) Cloud Native Engineering, Migration to Cloud, VMware Exit FinOps Data & AI/ML Data (Cloud Native/DataBricks/Snowflake) Machine Learning, AI/GenAI Cybersecurity Infrastructure Security Application Security Data Security AI/Model Security ...

running enablement and training programs. A solid understanding of Microsoft Azure and the Microsoft 365 ecosystem. Familiarity with core concepts of artificial intelligence, machine learning, and large language models (LLMs). An awareness of the software development lifecycle (SDLC) and modern coding practices to support the adoption ...

across Python versions. Automatic Instrumentation: Develop logic to automatically capture code execution, parameters, and metrics using advanced Python techniques (monkey patching, decorators, introspection). ML Framework Integration: Build and maintain deep integrations with leading AI libraries (PyTorch, TensorFlow, Keras, Hugging Face, vLLM, scikit-learn). Packaging & Distribution: Manage the build ...