1 to 25 of 49 Machine Learning Jobs in Newcastle upon Tyne

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

could contribute to a variety of exciting projects, including: Trend analysis, clustering, data fusion and data engineering. Developing advanced inputs for transport models. Applying machine learning and AI-driven approaches to solve complex challenges. Building predictive models using both machine learning techniques and established discrete choice … bring fresh thinking, strong analytical skills and a passion for solving complex problems with data. Whether your background is in data science, statistics, machine learning, AI, data engineering, econometrics or transport modelling, you'll have the opportunity to make a tangible impact while continuing to develop your ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

shaping, developing, and continuously improving our Data and AI apprenticeship programmes. As part of the Product team, you will help create high-quality learning experiences that help learners build the skills, knowledge, and behaviours they need to succeed in a rapidly evolving data and AI landscape. You will work … areas of development. This may include core apprenticeship programmes, programme variants, and tailored client solutions. Your work could involve developing new curriculum, enhancing existing learning journeys, adapting content for different learner or client contexts, and supporting major programme builds. A key focus of the role will be creating ...

Underwriting, Claims and wider business operations. Working with large and complex datasets, you'll develop robust data pipelines and platforms that enable analytics, reporting, machine learning and AI-driven initiatives across the organisation. You'll be responsible for building and maintaining data pipelines using Azure Databricks, Azure Data … based data solutions within Azure, ensuring high performance, scalability and cost efficiency. Create robust data models and lakehouse architectures to support analytics, reporting and machine learning initiatives. Automate and monitor data workflows using tools such as Databricks Workflows, Delta Live Tables and Azure Monitor. Ensure data quality, integrity ...

AI.## **YOUR ROLE**We are looking for AI and Data Science professionals from Consultant to Senior Manager to help organisations unlock value from AI, machine learning, data science and intelligent automation. As a leading Data and AI Professional, depending on your experience and area of expertise, your focus … ability to learn as technology and client needs evolve. In this role you will play a key role in: • Designing, building and deploying machine learning, generative AI and agentic AI solutions, turning business challenges into practical prototypes, products and scalable enterprise capabilities. • Developing applications and pipelines that connect ...

join a multidisciplinary analytics team supporting the delivery and transformation of services within the Later Life Service Group. The team delivers insight, advanced analytics, Machine Learning, and Artificial Intelligence solutions that help improve services, support strategic decision-making, and drive measurable outcomes. Working closely with stakeholders across Service … complex data sets, develop innovative analytical products, and influence decision-making through evidence-based insight. Key Responsibilities Lead the development of advanced analytics, Machine Learning, and Artificial Intelligence solutions to support business decision-making. Explore and analyse complex data sets to identify trends, opportunities, and solutions to business ...

required Up to £105,000 DoE + package Active SC or DV Clearance required 2-stage virtual interview process Experience required in AI/ML, LLMs, Python, Customer Consultancy We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial … exposure across the AI engineering stack and working on technically challenging, real-world problems. Responsibilities Deliver AI solutions from POCs through to production Apply ML/AI techniques to complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across ...

joining a passionate people-focused company, and as a Senior Product Manager of Pricing and Price Optimization, you will define and drive AI/ML product development for Vendavo s high-growth, high-visibility pricing and price optimization products. Supported by a top-flight sales organization and high-powered engineering … external partners to ensure clear communication and alignment Develop deep expertise in B2B pricing dynamics across manufacturing and distribution verticals. Define AI/ML-powered pricing capabilities by partnering with data science teams to translate model outputs into intuitive, customer-facing product experiences. Track competitive dynamics and emerging capabilities ...

automate office tasks within the Finance function. This is accomplished with the full suite of existent and emerging digital technologies, e.g. cloud computing, machine learning, digital robots and AI/copilot-enabled programming. Work with the Finance Transformation team, and the Finance Automations Product Manager, to ensure that …/or Power Query) Experience in presenting data analysis and creating reports Experience in Power BI report creation and maintenance Experience in ML-based data analysis and decision-making Understanding of the importance of data modelling for modern digital solutions, especially machine learning analysis Working Methods Ability ...

such as Microsoft Fabric. Produce curated data models for analytical tools including Power BI. Support the development of statistical and predictive data models, including machine learning use cases where relevant. Maintain and enhance the organisation's data and analytics platform to ensure performance, reliability and scalability. Identify opportunities … frameworks and best practice. Good understanding of data architecture principles and concepts such as medallion architecture, star schemas and slowly changing dimensions. Awareness of machine learning techniques and their application within a data environment would be beneficial. Knowledge of GDPR, data governance and data protection best practice. Understanding ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (e.g. LangChain/LlamaIndex‐style tooling, multi‐agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud‐native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure‐as‐code for repeatable, auditable deployments Secure‐by‐design engineering appropriate to sensitive public‐sector data AWS/Azure/ ...

this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data - AWS/Azure/ ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

ensuring business value creation and impact. In this position you will play a key part in:* Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI … requirements and build out solutions.* Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.* Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.* Experience designing ...

proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. ...

that drive business growth. Remote first - The successful candidate will be based in UK Java, Spring Boot/AI, AWS, Graph Database, AI and ML frameworks , Agentic AI Be part of a growing AI Fintech, working with cutting-edge technologies At least 10 years of experience in hands-on Software … allowance and Macbook Pro You ll be a key member of the Provenir AI team, who are responsible for all things data, analytics, and ML/AI at Provenir AI. We are a passionate group of professionals who thrive on the intersection of data and engineering. Our team is driven ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data applications … with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment.* **Containerisation and Kubernetes** Confidence deploying applications in containerised environments, including defining services ...

will help shape the organisation's data and AI strategy, enabling everything from enterprise reporting and advanced analytics to cutting-edge AI and machine learning solutions. Key Responsibilities Design and build scalable, cloud-based data platforms and architectures. Translate business requirements into robust, scalable data solutions. Develop conceptual … more of the following technologies: AWS (Redshift, Glue, S3, Bedrock) Microsoft Azure (Synapse, Data Factory, Azure SQL) Databricks (Delta Lake, ETL pipelines, ML workloads) Snowflake Strong data modelling experience across enterprise-scale environments. Experience building modern AI-enabled data architectures. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings ...

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 ...

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 ...

Technical Enablement Lead/Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire … champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create ...

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 ...