1 to 25 of 52 Machine Learning Jobs in Leeds

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 ❯

spanning retail and business asset classes and drive insight and improvements in model outputs and controls. With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our … we work with stakeholders across the bank to ensure robust model development activities. What you’ll be doing Supporting the validation of traditional and machine learning models to ensure models across the business are fit for purpose Providing artificial intelligence and mathematical expertise to inform the discussion between … data from a variety of sources Generating model validation reports and ensure that validation actions are followed through to a resolution Supporting the continuous learning and development of a best practice modelling culture within the bank. We need you to have A higher qualification in mathematical or computer science More ❯

spanning retail and business asset classes and drive insight and improvements in model outputs and controls. With the advent of new technologies such as Machine Learning and Generative AI we see a huge drive in the financial modelling space that must be managed appropriately. This is where our … we work with stakeholders across the bank to ensure robust model development activities. What you ll be doing Supporting the validation of traditional and machine learning models to ensure models across the business are fit for purpose Providing artificial intelligence and mathematical expertise to inform the discussion between … data from a variety of sources Generating model validation reports and ensure that validation actions are followed through to a resolution Supporting the continuous learning and development of a best practice modelling culture within the bank. We need you to have A higher qualification in mathematical or computer science More ❯

Machine Learning Engineer Salary: £70,000 Location: Leeds or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data … and Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost More ❯

Machine Learning Engineer Salary: £70,000 Location: Leeds or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data science lifecycle from data … and Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost More ❯

KTP Associate - Machine Learning Engineer Based at SR Mailing Limited, 151 Great Ducie St, Manchester, M3 1FB. Qualifications and Skills: Master's degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, Business Analytics, or a related field. Proficiency in programming, visualization, analysis, machine learning, and 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 ❯

for innovative solutions and conduct technology exploration in cloud environments and Big Data Understanding data analytics use-case : Be it Reporting, GenAI or predictive Machine Learning algorithm, you will need to understand use-case requirements and propose and design technological/data architecture fulfilling them. Understanding applications & data … and technical needs, to develop tailored technical architectures and solutions in the Cloud, focusing on data engineering, data lakes, lake houses, business intelligence and machine learning/AI. Cost Optimization: You will be continuously trying to optimize run costs - both on platform level as well as making sure 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 ❯

focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life … particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform More ❯

focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life … particular architecting with native cloud resources relevant to data problems Knowledge of data visualisation tools such as Tableau or Power BI Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge and experience using at least one Data Platform More ❯

that deliver real business value across our commercial, customer, supply chain, and digital functions. In this role, you will shape and deliver advanced analytics, machine learning solutions, and visual insights that influence decisions at every level of the organisation. You will also mentor and manage a team of 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 ❯

include: Manage and maintain Azure Data Services infrastructure, which will work alongside many other cloud-based components, such as Databricks, Purview and Cognitive/Machine Learning Services. Define SLAs and operational processes for data-related infrastructure. Support live initiatives and ensure system reliability and availability. Be a domain … will also have: Excellent communication and collaboration skills. Solid understanding of, and a depth of experience in, the development lifecycle. A commitment to continuous learning, and adaptability to stay updated with relevant technologies and methodologies. Track record of developing others to form a high-performing team Desirable Criteria It … harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and More ❯

include: Manage and maintain Azure Data Services infrastructure, which will work alongside many other cloud-based components, such as Databricks, Purview and Cognitive/Machine Learning Services. Define SLAs and operational processes for data-related infrastructure. Support live initiatives and ensure system reliability and availability. Be a domain … will also have: Excellent communication and collaboration skills. Solid understanding of, and a depth of experience in, the development lifecycle. A commitment to continuous learning, and adaptability to stay updated with relevant technologies and methodologies. Track record of developing others to form a high-performing team Desirable Criteria It … harness the skills they need to achieve and grow the workforce they want. Our culture: At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and More ❯

operational support. Operational support responsibilities include platform set-up and configuration, workspace administration, resource monitoring, providing technical support to data engineering, Data Science/ML, and Application/integration teams, performing restores/recoveries, troubleshooting service issues, determining the root causes of issues, and resolving issues. The position will also …/Scientists/Architects/Modelers/Analysts. Responsibilities: Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization. Collaborate with the data engineering team to ingest, transform, and orchestrate data. Manage privileges over More ❯

focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either. Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life … an excellent understanding of business requirements. Skills we’d love to see/Amazing Extras: Demonstrable experience using Quantexa or Palantir Interest in building Machine learning and Data science applications Ability to use wide variety of open-source technologies Knowledge of test automation frameworks and ability to automate More ❯

agnostic testing frameworks for use across agile delivery teams. Promote best practices including Test-Driven Development (TDD) , Behaviour-Driven Development (BDD) , and AI/ML-based testing for anomaly detection and performance validation. Mentor and upskill test and engineering teams in modern, automation-first testing approaches. Collaborate across teams to More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI 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 More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI 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 More ❯

Develop dashboards that integrate data from multiple service operations tools to provide a comprehensive view of system health and SLAs. Utilise data analytics and machine learning models to predict potential service degradations and optimise resource allocation. Enhance reporting capabilities to support compliance, audit, and continuous service improvement initiatives. More ❯

Develop dashboards that integrate data from multiple service operations tools to provide a comprehensive view of system health and SLAs. Utilise data analytics and machine learning models to predict potential service degradations and optimise resource allocation. Enhance reporting capabilities to support compliance, audit, and continuous service improvement initiatives. More ❯

Develop dashboards that integrate data from multiple service operations tools to provide a comprehensive view of system health and SLAs. Utilise data analytics and machine learning models to predict potential service degradations and optimise resource allocation. Enhance reporting capabilities to support compliance, audit, and continuous service improvement initiatives. More ❯

practices in AI development. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience in AI/ML development, with a strong portfolio of projects. Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks and libraries (e.g., TensorFlow More ❯