1 to 25 of 195 Machine Learning Jobs in Yorkshire

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯

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 ❯

team to deliver Data Science solutions Promote excellence and innovation in data science methods for measuring the quality of health and social care services, learning from best practice (national/international), both internally and externally. Assess the effectiveness of different advanced statistical and data science modelling approaches and advise … Post-graduate qualification in relevant subject or has equivalent professional experience. In-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and able to apply them to a variety of analytic problems. Previous experience in delivery of complex, advanced … Python, R, and SQL Experience of cloud computing - Cloud Computing – Azure, AWS or GCP Substantial experience working in cloud-based tools like Databricks for Machine Learning, Azure Machine Learning and Azure AI Foundry as well as experience helping others to use them. Experience of delivering Data More ❯

reduce operational costs, and drive engagement, retention and lifetime value for over 120 million users. Role Details Lead Product Manager - Transaction Enrichment (Data AI & ML), Consumer Clarity Product will help define and lead the product strategy and implementation for the transaction enrichment capabilities, specifically Subscription Identification, but also other data … and AI/ML based products. Minna's Identify Engine uses proprietary machine learning algorithms that analyse customer transactions to identify recurring spending such as subscriptions. The features for this product include building specific algorithms to support all edge cases, support for different markets and incrementally improving accuracy … ensure the product is delivering the promised value. There will also be opportunities for this role to work on other data and AI/ML products for building efficiencies in the system and deliver more value to our customers with the use of the right technologies. Responsibilities In this role More ❯

ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and pricing models using statistical and machine learning methods Translate complex data into actionable insights for commercial stakeholders Work closely with operational teams to embed models and monitor performance Drive … innovation by supporting the team’s growth in advanced analytics and machine learning techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant experience in a modelling role within financial services Essential: Strong coding ability in Python … Desirable: SQL proficiency Exposure to credit risk, collections, or pricing Knowledge of machine learning methods and practical applications Package Overview £40,000 base salary Annual performance bonus Pension scheme Private healthcare Register your interest by sending your CV to Daniel Abbasi via the apply link on this page. More ❯

of predictive models across strategy, pricing, litigation, and forecasting. This is a hands-on analytics role, ideal for someone looking to apply statistical and machine learning techniques in a structured, data-driven environment. THE COMPANY A nationally recognised organisation with a reputation for using data to drive smarter … business decisions. THE ROLE As a Decision Science Analyst, your day-to-day responsibilities include but are not limited to: Building predictive models using machine learning methods to improve forecasting and performance across key areas Presenting findings and translating complex analysis into actionable insights for senior stakeholders Identifying … best practices and enhance the team’s modelling capabilities SKILLS AND EXPERIENCE Experience developing credit risk models using logistic regression or similar Knowledge of machine learning approaches such as random forest and clustering Proficient in Python Educated to at least university level with a STEM degree THE BENEFITS More ❯

AI/ML Developer: We are seeking a talented and highly motivated AI/ML Developer with strong programming skills in Python or other relevant languages to join our dynamic team. You will need to have the skill set and ability to design, develop, and deploy cutting-edge artificial intelligence … GCP) and Cloud AI solutions (e.g. ) to build and deploy scalable AI solutions. Process and analyse large datasets to train and evaluate AI/ML models. Collaborate with data scientists to optimise model performance and accuracy. Develop and maintain AI/ML pipelines for data ingestion, processing, and model training. … Integrate AI/ML models with existing applications and systems. Stay up-to-date with the latest advancements in AI/ML and cloud technologies. Contribute to the development of AI/ML strategy and best practices. Requirements: Knowledge of data structures, algorithms, and software design principles. Experience with machine More ❯

Applied Scientist - ML Models Fraud & Financial Crime Applied Scientist - ML Models Fraud & Financial Crime Apply locations Leeds Wellington Place time type Full time posted on Posted 13 Days Ago time left to apply End Date: May 9, 2025 (15 days left to apply) job requisition id 113788 End Date: Thursday … working - click here for more information on flexible working options Flexible Working Options: Hybrid Working, Job Share Job Description Summary: JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

JOB TITLE: Applied Scientist, ML Models, Fraud & Financial Crime - Economic Crime Prevention Platform SALARY: £68,202 - £75,780 LOCATION(S): Leeds HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week currently, or 40% of our time, at our Leeds office. … our journey and you will too How you'll make a difference As an Applied Scientist, you will: Use your skill set to build machine learned models to detect and prevent fraud and financial crime. Lead small teams in the development and maintenance of data science products that serve … techniques especially on tabular supervised learning problems. Proficient in Python and the Python data science ecosystem. Good software engineering underpinnings, understanding of how ML models can be exposed behind APIs applications and welcomes opportunity to build out interactive dashboards. Ability to design and implement ELT pipelines in an efficient More ❯

IT teams to enhance real-time analysis, accurate forecasting, and the management of resources. The postholder will lead the development of and refinement of machine learning capabilities and apply these to modelling scenarios within clinical pathways and administrative processes, ensuring these models improve efficiency, optimise outcomes, and support … teams to enhance capabilities in real-time analysis, accurate forecasting, and effective resource allocation and management. Lead the development, deployment, and continuous improvement of machine learning models within clinical and administrative settings. Ensure models are monitored, refined, and transparent to optimise efficiency, enhance decision-making, and improve overall … efficient resource use. Provide financial reports to senior management and support policy development related to Information Management, ensuring alignment with national guidelines. Promote continuous learning and development opportunities within the team, ensuring compliance with mandatory training and adherence to NHS managerial standards. Support personal objective setting and reviews aligned 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

structure, application and permissible use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL … leaders. Experience in leading and management Previous analytical consultancy in a big data environment Deep understanding of the industry/regulatory landscape Exposure to machine learning techniques Cloud experience using GCP or Amazon AWS This position offers a basic salary between £70-80K with an excellent benefits More ❯

structure, application and permissible use of data sources, across consumer, commercial and open banking lines of business Application of statistical techniques (including Regression techniques, Machine Learning techniques, Decision Trees, CHAID Analysis & Cluster Analysis) to solve business problems. Application of data mining tools and programming languages Python and SQL … leaders. Experience in leading and management Previous analytical consultancy in a big data environment Deep understanding of the industry/regulatory landscape Exposure to machine learning techniques Cloud experience using GCP or Amazon AWS This position offers a basic salary between £70-80K with an excellent benefits More ❯

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety More ❯

team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: - Proactive … working are key. - Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable. - 3 to 8 years of experience within personal lines insurance is required More ❯

with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow More ❯

AI Tech Lead – Agentic AI, LangGraph, ML, Python, CI/CD, LLM’s, Early-Stage Startup, UK Remote About the Role A mission-driven, early-stage startup is looking for an AI Tech Lead to join its growing team. This is a hands-on leadership role where you’ll help … on employee wellbeing in high-stress industries—and the mission is just getting started. You’ll lead a cross-functional team of backend and machine learning engineers, guiding architecture, mentoring team members, and staying close to the code. This is a rare opportunity to build both product and … in a fast-moving environment with purpose at its core. What You’ll Do Lead and mentor a senior engineering team working across backend, ML, and infrastructure. Play key role in design, development, and deployment AI applications using LLM's, Agentic framework, and other related technologies Own technical direction for More ❯

joining: The ecobee Smart Security service, launched in 2020 to rave reviews, is the intelligent solution that protects home and families. Our system uses machine learning and advanced sensor technology to protect our customers' most precious asset - their home. This is just the beginning! We're embarking on … teams working on other parts of the ecobee product range - from subscription services to energy products and mobile apps. You'll benefit from regular learning days (with lots of smart people around to inspire your upskilling choices!), a dedicated learning and development budget, an annual (optional) trip to … a sustainable impact while on your daily job, and after it through programs like ecobee acts. Expand your career: Learn with our in-house learning enablement team, and enjoy our generous professional learning budget. Put people first: Benefit from competitive salaries, health benefits, and a progressive Parental Top More ❯

related field You have strong proficiency in Python, leveraging libraries like Prophet, TensorFlow, Keras, and PyTorch for LSTM, along with expertise in SQL and machine learning frameworks You have hands-on experience with leading time series forecasting techniques, including Prophet, ARIMA, and LSTM, enabling you to uncover trends More ❯