51 to 64 of 64 Machine Learning Jobs in Newcastle upon Tyne

application, and technology architectures Ensure scalability, security, and resilience across infrastructure and software platforms Innovation & Transformation Identify opportunities to leverage emerging technologies (AI/ML, IoT, cloud-native, etc.) across the group Identify and drive modernisation initiatives such as microservices adoption, cloud migration and others. Collaboration & Leadership Partner with leaders … wellbeing. We recognise the development of our people is vital to the ongoing success of the business and proudly promote a culture of continuous learning and improvement, along with opportunities to develop and progress a successful career with us. The CitNOW Group is an equal opportunities employer that celebrates ...

models, and retrieval-augmented generation (RAG) systems Design evaluation frameworks addressing bias, hallucination detection, and business impact Explore novel AI applications while integrating traditional ML techniques where appropriate Who We're Looking For For Senior Engineers: 5–8+ years building robust, scalable software systems Full-stack development capability across modern … hands-on experimentation with tools like ChatGPT, Claude, GitHub Copilot For Principal Engineers: 8+ years delivering complex, enterprise-grade software Proven AI/ML expertise with production deployment experience Advanced knowledge of transformer architectures, foundation models, and prompt engineering Senior stakeholder engagement experience and ability to lead high-level ...

using Python, Java, or Node.js backends. Collaborate with architects to define scalable and secure AI service architectures. Experience in the following Implementing AI/ML pipelines for model training, validation, and deployment (using tools such as MLflow, Vertex AI, or Azure ML). Manage model evaluation, drift monitoring, and continuous ...

/EU) | Outside IR35 | 6 months (likely extension) A leading UK platform is hiring 2 x Data Scientists to stabilise and improve production ML models while supporting key NLP projects. This is a hands-on applied DS role, not a generic GenAI/LLM position. You'll Work On Applied … core): • Forecasting (demand/volume) • Propensity, churn, classification • Tree-based models & classical ML • Handling imbalanced datasets • Debugging, retraining & maintaining 13 production models Modern NLP (secondary but required): • Transformer-based text classification (BERT/DistilBERT/RoBERTa) • Fine-tuning classification heads • Embeddings + cosine similarity search • Supporting LLM-adjacent work ...

with auditors, external assessors, and customer security teams. Nice-to-Have Prior experience building security functions in a fast-growing SaaS or AI/ML-driven company. Knowledge of AI-specific compliance and risk frameworks (NIST AI RMF, EU AI Act). Benefits Join a pioneering joint venture … intersection of AI and industry transformation. Work with a diverse and collaborative team of experts from various disciplines. Opportunity for professional growth and continuous learning in a dynamic field. ...

This isn't lecturing. You'll run interactive sessions, give deep feedback on real projects, challenge thinking, and help learners apply what they're learning directly in their roles. You'll guide them through building data governance frameworks, designing data products, making the business case for data initiatives … creating trusted, reliable data foundations Data governance — implementing frameworks that balance control with enablement Data architecture or DataOps — designing systems that scale AI/ML governance — managing risk while enabling innovation You've probably: Led or significantly contributed to data initiatives in complex organisations Built business cases for data investments ...

Kingdom Role Type – Contract Must Have Skills: Strong background in application security, cloud security, or security architecture Hands-on experience with securing AI/ML systems, including LLMs, APIs, RAG pipelines, and vector stores Deep familiarity with AI security risks and threat modeling methodologies Working knowledge of modern DevSecOps practices … tools Excellent communication and stakeholder engagement skills Responsibilities and Job Details: Design and maintain security architecture standards and patterns for AI and ML systems Conduct in-depth architecture reviews, threat modeling, and contextual risk assessments Partner with AI platform engineers, product teams, and data scientists to embed security into ...

data structures. Data modelling, ETL/ELT, SQL tuning and general analytics engineering skillset. Proven ability to collaborate with AI teams, data scientists or ML engineers in shared workloads. UK Citizen with SC (minimum). Desirable OCI and OIC experience. Exposure to ML/AI concepts and ability to support ...

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. ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras … with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with ...

stakeholders to translate business requirements into technical solutions What We're Looking For 2+ years of professional full-stack development experience with AI/ML systems Strong engineering skills across frontend and backend technologies Proficiency with modern frontend frameworks (React, Vue, Angular) and TypeScript Backend experience with Python, including … design (REST) Hands-on experience deploying LLMs, transformers, or other neural networks Proven experience with prompt engineering techniques and LLM optimization Experience with ML frameworks (PyTorch/TensorFlow) and model serving Proficiency with relational databases and AWS (PostgreSQL/MySQL) AWS experience on basic services (ECS, S3, etc.) Experience with ...

both public and private sectors. Our commitment to designing impactful careers and coaching future leaders is evident in our over 10 prestigious awards in Learning & Development and Equality, Diversity & Inclusion. As a Top 20 Employer for Social Mobility and a proud B-Corp certified organisation, we're not just … role You'll become versatile in a wide array of tools across topics covering data focused coding, data visualisation, Cloud Services, Big Data and Machine learning. You will be equipped to work within a variety of roles including but not limited to; Data Engineer, Data Analyst, Data Scientist, Information ...

execution end-to-end — not just manage tickets. You'll work closely with: Fullstack Engineers (including a Tech Lead) DevOps Data Ops & ML Engineering CEO, CPO, and CTO (strategic input and alignment) You become the central execution engine, ensuring the product moves forward quickly, clearly, and with purpose. What Success … launch is a strong plus Domain & Technical Understanding Solid understanding of marketing analytics or campaign workflows Comfortable specifying requirements involving data and AI/ML concepts Confident interpreting product metrics and KPIs Ways of Working High emotional intelligence and strong communication skills Pragmatic, outcome-focused, and delivery-oriented Comfortable operating ...

live data is captured, processed, and delivered. As SVP, AI and Computer Vision, you'll: Lead global strategy and execution across computer vision, ML, and data engineering. Scale world-class engineering and research teams across multiple regions. Oversee the design, optimization, and deployment of real-time tracking and visual intelligence … requirements: Proven background leading large computer vision or real-time data engineering teams. Expertise in object tracking, image/video processing, or large-scale ML deployment. Strong technical leadership and cross-functional delivery at global scale. Experience turning advanced R&D into production-grade systems. This is a high-visibility ...