9 of 9 Machine Learning Jobs in York

relevant insights. Our ownership ranges from innovative idea inception through POC, to its implementation within customer facing products. Development includes working with cutting edge machine learning, deep learning and data manipulation techniques, data analysis and coding a wide variety of features to deal with different data types … and meet the customer needs. Among our current challenges are building time series forecast engines, predictive models, enhance user's experience using AI/ML, big data text mining/analysis as well as statistical challenges and maintaining high algorithm performance and accuracy. We are looking for a talented and … PlanIQ Team. This includes research, new ideas, POCs and writing code to production at scale. Working together with the other team's data scientists, ML engineers, backend, and frontend developers. Your day will have a mixture of all domains: data pre-processing and post-processing, machine learning, deep More ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in More ❯

session and post-race analysis. Assist in the integration of third-party data sources (e.g. MoTeC, etc). Drive innovation in the use of machine learning or predictive models to enhance performance decision-making. Provide trackside support as required across the race calendar, requiring regular interstate travel Qualifications … tests, and workshops as required. Preferred Requirements Experience in motorsport field Experience with cloud services (AWS, Azure) or containerized environments (Docker). Background in machine learning or predictive modelling for motorsport or automotive applications. Previous experience working within a Supercars team or similar motorsport environment. What We Offer More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

NPTC Confectionery team, cross-category R&D teams as well as the Strategic Business Unit and markets (where relevant). Champion and promote the learning of new digital tools and methodologies across NPTC Confectionery, including leading digital champions. Develop a digital roadmap with key functions such as Science and … consumer-packaged goods in R&D or Markets. Strong analytical and problem-solving abilities, with the capability to translate data into actionable insights. Experience machine learning algorithms for predictive modelling. Ability to work collaboratively in a cross-functional team environment, with strong communication skills. Strong leadership capabilities coupled More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

Desirable Skills Familiarity with big data or NoSQL technologies (e.g., MongoDB, Cosmos DB, Hadoop). Exposure to data analytics tools (Power BI, Tableau) or machine learning workflows. Knowledge of data governance, GDPR, and data compliance practices. Why Join Be part of a growing tech team at the forefront More ❯

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 More ❯

Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and doesn't just see it as a job. They … and testing pipelines to support system stability. Research and make decisions about the technological stack and system design, considering all trade-offs. Work on ML model development Analyse large amounts of data and build real-time systems. Scale backend and web frontend development teams. Work in a very cross-functional … team, side by side with mobile developers, product managers, ML engineers, and designers. Skills & Experience required: Build high-load applications from scratch. Deep knowledge of AWS. Architecture planning Estimation skills Clean code practices. Architecture scalability and simplicity. CI/CD automation pipelines. Proficiency with Terraform and Docker. Ability in resolving More ❯