1 to 25 of 34 Machine Learning Jobs in North Yorkshire

Software Engineer to support rapid-response research and development (R&D) in various laboratory environments, focusing on mission-critical SIGINT and GEOINT challenges. This role involves leveraging expertise in machine learning, algorithm design, and software development to create tools, algorithms, and prototype capabilities that address emerging intelligence issues. The Software Engineer will work in dynamic lab settings, collaborating … solutions under tight timelines. The role demands adaptability, technical expertise, and a strong ability to bridge algorithm theory with practical software engineering applications. Key Responsibilities Design, develop, and implement machine learning models, algorithms, and software tools to support SIGINT and GEOINT mission objectives in lab environments. Rapidly prototype and deliver capabilities to address emerging intelligence issues, ensuring alignment … to enhance performance in resource-constrained or time-sensitive environments. Document technical designs, algorithm specifications, and software processes to support mission continuity and compliance. Stay current with advancements in machine learning, SIGINT, and GEOINT technologies to inform R&D efforts. Basic Qualifications Bachelor’s degree with 8+ years related experience or Master’s degree and 6+ years related More ❯

real-time messaging and stream processing is a plus. Data Engineering: Experience with Apache Spark , Databricks , or similar big data platforms for processing large datasets, building data pipelines, and machine learning workflows. Workflow Orchestration: Familiarity with tools like Apache Airflow or Temporal for managing workflows and scheduling jobs in distributed systems. Stream Processing: Experience with Apache Flink or More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

production-grade data science models, optimizing and upgrading them as needed. Design scientific solutions to complex business challenges, working with diverse datasets (internal and third-party) and leveraging advanced machine learning or statistical modeling techniques. Collaborate with data scientists, engineers, and pricing teams to mature the organization's analytics practice. Write high-quality Python code following industry best … to conduct high-quality research independently or in small teams, delivering results in a timely manner. Familiarity with version control and IT delivery tools. Understanding of how to apply machine learning to solve business problems. Experience developing predictive and prescriptive models (e.g., predictive modeling, machine learning, or data mining) to deliver actionable business insights. Exceptional written More ❯

data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation … in both independently and in small teams as required by the task. Familiarity with version control and other IT delivery tools is required Understanding/identifying opportunity to apply machine learning knowledge to solve business problems Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would More ❯

join with: FIND are working with a Global Data & AI Training/Education specialist who are looking to expand their Data Science Training team. They’re looking for AI & ML Engineering specialists interested in becoming Trainers/Educators to junior/apprentice ML Engineers This role is ideal for someone who enjoys teaching, mentoring & developing the next generation of ML … best practices. Key Responsibilities: Deliver high-quality, practical training sessions in Machine Learning and Artificial Intelligence Engineering. Facilitate both beginner and advanced-level content to AI/ML Engineers and Data Scientist 's working across a variety of companies & industries Provide hands-on coding sessions and real-world project mentorship using Python and relevant ML libraries (e.g., Scikit … learn, TensorFlow, PyTorch etc) Incorporate cloud-based tools and services (e.g., AWS, GCP, or Azure) into training to simulate modern ML engineering environments (Cloud Training can be provided to you) Keep training material up to date with current Data Science/AI/ML industry trends, tools, and techniques. Support learners with career development and technical confidence. Required Skills & Experience More ❯

learn and adapt to its ecosystem. Proficiency in Python programming, focusing on data manipulation and engineering. Interest in data science and a drive to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimizing workflows. Excellent communication and teamwork abilities to thrive in a consultancy environment. Data … store, and transform large datasets, ensuring data quality and availability. Writing clean, efficient, and reusable Python code for data engineering tasks. Collaborating with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Researching and integrating the latest cloud-based technologies and frameworks to drive innovation. Opportunities for learning, cross-skilling in AI, and More ❯

to applicants across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest tech, including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

month (candidates must be based in the UK) About the company & role for Full Stack Engineer (Team Lead) Our client is building a dynamic digital ecosystem that fosters social learning, problem-solving, and transformative connections. Through their Platform, they empower individuals, teams, and organisations to collaborate, share knowledge, and drive meaningful impact. Committed to technology, inclusivity, and real-world … DevOps practices. Agile development experience with CI/CD pipelines, Git, and containerisation (Docker). Arabic language skills to support the platform’s bilingual capabilities. Experience with AI/ML integrations or recommendation systems. Expertise in Matrix/Synapse integration for real-time messaging and communication. Knowledge of WebSockets, real-time messaging, and event-driven architectures. Background in platform monetisation More ❯

in software engineering and architecture. Strong experience with Azure, Python and infrastructure-as-code (e.g., Terraform). Proven leadership in scaling modern systems and teams. Familiarity with AI/ML pipelines. Excellent communication and stakeholder engagement skills. #J-18808-Ljbffr More ❯

Social network you want to login/join with: We are looking for an experienced machine learning engineer to join a newly formed data science team. You will have the opportunity to shape the data science delivery pipeline by building the infrastructure to acquire data from the data platform, deploy models, maintain, monitor, and upgrade core data science … a skills crossover methodology, contributing to the data science workflow, discussions, and development, while maintaining a key role in transitioning models from research into production. The role of the Machine Learning Engineer This role is ideal for someone passionate about using data science to influence decisions and eager to learn more about delivering value through data. Key Responsibilities … required. Knowledge of neural networks, TensorFlow, CatBoost, XGBoost, SKlearn, Pandas. Our Technology We are developing a new data platform in Databricks that consolidates all UK business unit data. The ML Engineer will leverage and extend this platform to provide comprehensive end-to-end data science services. Rewards Competitive salary and benefits. 25 days annual leave plus two Hiscox days. Four More ❯

a proactive approach to challenges. Preferred Skills and Abilities : Experience with other cloud platforms and big data technologies. Knowledge of programming languages such as Python and SQL. Familiarity with machine learning concepts and tools. Experience with data governance and management practices. Travel: Ability to travel domestically as needed, no more than 10% of the time Standard and Physical More ❯

We work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects manifest both on-premise or in cloud, often driving … business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the insight to enable them to craft great solutions that delight our customers. You’ll mentor others to ensure they More ❯

collaboration with AWS engineers. In this role, youll lead cutting-edge data engineering efforts that will enable strategic decision-making, enhance operational efficiency, and support the deployment of AI, machine learning, and advanced analytics across the organisation. We are looking for a hands-on, highly skilled individual who can set direction and bring technical leadership to a growing … initiative. Collaborate with AWS engineers on a modern data architecture. Make a tangible impact on revenue, cost savings, and customer experience. Enjoy a supportive, flexible working environment and continuous learning opportunities. If youre a data visionary with the technical expertise and leadership qualities to shape the future of data in a fast-moving business, wed love to hear from More ❯

Assembler Front-end technologies - HTML, JavaScript, jQuery, CICS Web Frameworks - Web technologies like Node.js, React.js, Angular, Redux Development Tools - Eclipse, Visual Studio, Webpack, Babel, Gulp Mobile Development - iOS, Android Machine Learning - Python, R, Matlab, Tensorflow, DMTK Global Payments Inc. is an equal opportunity employer. Global Payments provides equal employment opportunities to all employees and applicants for employment without More ❯

business continuity. Research, design, and implement technological solutions that drive productivity, efficiency, and collaboration, including business intelligence and communication tools. Lead the adoption of cloud-based solutions, AI/ML, and advanced analytics where applicable to future-proof business operations and drive optimization Partner with functional department leaders to collaborate on technology enabled solutions that are scalable and cost effective More ❯

adapt/understand new technology areas Communication skills. Desirable Skills: Understanding of propulsion systems Understanding of materials and material properties Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc. Education Required: Programming, Electrical, Mechanical, AI, Software. JBRP1_UKTJ More ❯

e.g., Git) and CI/CD pipelines. 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 of data innovation. Work on More ❯

part of something brilliant – a close-knit, supportive team with a clear purpose and a passion for doing things the right way. Work with modern tech – UiPath, comms mining, machine learning and more – all part of our evolving automation toolkit. Hybrid working – work from the comfort of your own home up to 80% of the time. Your office … serve our customers. This is a 9-month fixed-term contract, with a strong possibility of extension – and you’ll be joining a team that really values collaboration, continuous learning, and shared success. While this role can be based from any of our UK offices listed above, you’ll need to be happy to travel to our Head Office More ❯

to lead high-impact, compliance-focused projects within our services team. The TPM will drive end-to-end delivery of initiatives centered around Microsoft Purview, Data Loss Prevention (DLP), Machine Learning Platform (MPIP), Microsoft Copilot, and Records Management . This role is a critical contributor to delivering secure, automated, and compliant digital environments for several projects. Key Responsibilities More ❯

will play a key role in embedding data engineering best practices, supporting colleagues across the data community, and ensuring the delivery of impactful, reusable data assets that power analytics, machine learning, and operational efficiencies. Key Responsibilities: Design, develop and maintain data pipelines and data assets within an AWS-based data lake architecture (S3, Glue, Lake Formation). Act More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

in the SDLC, support CI/CD pipelines, and ensure testability is part of the design. AI Tools & Automation: Explore, evaluate, and drive the adoption of modern AI/ML tools for test generation, test maintenance, and defect prediction. People & Process Leadership: Mentor junior QA members, enforce best practices, and continuously improve testing strategies and coverage. Metrics & Reporting: Define and … like driving clarity and structure where there is ambiguity. Nice-to-haves Prior experience as a QA manager or team lead. Background in software development. Exposure to AI/ML concepts in a practical or project setting. Why Join Fanvue? Competitive salary and benefits package Work with a talented, mission-driven team dedicated to empowering creators worldwide A culture that More ❯

working with an exciting Tech company who are seeking a Full Stack Data Scientist to join their Forecasting Algorithms team. The company's aim is to use cutting edge Machine Learning techniques to influence decision making in the hospitality and transportation spacce. You’ll be at the forefront of developing forecasting models, and supporting pricing strategies. This is … end-to-end—from design and testing to deployment and monitoring. Key Responsibilities Lead efforts to improve the performance and scalability of deployed forecasting models. Design and build internal ML and forecasting libraries. Contribute to product planning by translating business objectives into measurable results. Champion best practices in model development, validation, and inference pipelines. Stay current with state-of-the … art techniques in AI and ML and apply them effectively. Work closely with technical and non technical stakeholders. What You’ll Bring PhD is highly preferred! Strong experience building and implementing forecasting models using modern ML techniques. Deep understanding of time series analysis, statistics, and forecasting methodologies. Comfort working in a collaborative, cross-functional environment. Please note, this role cannot More ❯