8 of 8 Machine Learning Jobs in North Yorkshire

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

distributed data technologies such as Apache Kafka, Flink, and/or Pulsar Strong background in event-driven architectures, streaming pipelines, and data lakes Hands-on experience with AI/ML production systems, including prompt-based LLM integrations Expert-level Java development skills, with a polyglot mindset (comfortable in Python, React, or other languages as needed) Proven experience working in multi More ❯

wants to shape the future of our products A team player who values collaboration over competition Experience with .NET, Azure, Angular, and DevOps tools Bonus: interest in AI/ML, digital twins, or predictive analytics Teesside/Hybrid – 3 days in office/2 days from home More ❯

wants to shape the future of our products A team player who values collaboration over competition Experience with .NET, Azure, Angular, and DevOps tools Bonus: interest in AI/ML, digital twins, or predictive analytics Teesside/Hybrid - 3 days in office/2 days from home More ❯

and AI. The virtual team consists of a central function driving alignment, Business Unit teams identifying commercial value and providing execution capacity and technology providing for Data Engineering and ML Operations services.We aim to empower colleagues by improving data fluency and promote a data-driven, insight-led culture that supports informed, customer-centric decisions. Commercial focus, continuous improvement and product More ❯

from beginner level all the way 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 2 - CompTIA Data+ CompTIA Data+ More ❯

all accessible anytime, anywhere, through our 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 confidence and a strong More ❯

streaming, and real-time systems. Collaborate with the architecture function to represent engineering needs and help translate architectural direction into practical implementation patterns. Guide teams in integrating AI/ML capabilities-including prompt-based LLM use cases, model inference, and feature pipelines-into scalable platform services. Bring a product mindset to platform engineering, ensuring solutions are aligned with customer and … product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into production systems, including prompt engineering for LLMs. Polyglot development capability, with hands-on experience in Java, Python, and modern frontend frameworks such as React. Comfort working in cloud … influence without authority. Experience working within or across globally distributed teams. Preferred Skills Help define the future of a data platform at scale Work on cutting-edge AI/ML enablement initiatives Collaborate with high-caliber teams across data, engineering, and product Influence long-term technology strategy in a high-growth environment Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB More ❯