15 of 15 Machine Learning Jobs in Newcastle upon Tyne

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 ...

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 ...

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 ...

team. Qualifications: A minimum of 8+ years of experience with at least 5+ years in Cloud Security required and 2+ years in AI and ML is good to have. Or a BS or MS in Computer Science/Engineering with a focus on AI/Security, or a related field … required. Experience in architecture, design, deployment, and handling of standard security practices and policies is required. Preferred Qualifications Includes, A strong background in AI, machine learning, and deep learning. Experience in applying AI technology to security domain. Experience as a security leader for a cloud product ...

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 ...

Role: Data Scientist Location: Remote We are hiring exceptional Data Scientists to support a leading AI initiative focused on building high-performance machine learning systems. You'll work on hands-on data science tasks—from designing experiments and preprocessing datasets to building, evaluating, and refining models. … Design experiments and run end-to-end data workflows Gather, clean, preprocess, and analyze large datasets Build and evaluate predictive and ML models Collaborate with engineering teams to support production-ready solutions Write, review, and refine prompts used for AI training What You'll Bring 3+ years of professional experience ...

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 ...

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 ...

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 … 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 ...

Maths (2:1 or above) Expertise with C++ and Python is essential Experience with Linux and real-time software development Expertise with robotics, automation, machine control or a transferrable discipline Basic electronics knowledge and ability to read schematics Familiarity with ROS, OpenCV, machine learning or PLC 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 ...

model serving, observability, cost and latency optimisation, and the connection between unstructured signals and automated recommendations. You will also help shape the long-term ML strategy, including platform design, experimentation frameworks and the future of the discovery engine. This role suits someone who has experience in search, ranking, retrieval ...

looking for a skilled and motivated Senior ML Engineer to join our dynamic team at Quantori This position requires architecting and integrating multi-agent systems to support biomedical data retrieval and interpretation for target ideation, focusing on agentic workflows and tool compatibility. The role will be supported by an internal … scientist, e.g., coding tasks, data exploration, testing, etc. Location: USA, UK, EU Responsibilities: Architect multi-agent systems (supervisor, router, reasoning flow) Develop/tune ML models Ensure reproducibility, documentation Communicate ML findings to clinical research Integrate MCP server (potential)/other tools; ensure workflow compatibility Develop agent decision policies Diagnose ...

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 … 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. ...