22 of 22 Machine Learning Jobs in Cheshire

Data Scientist, you will play a critical role in developing and executing the company's research agenda, focusing on experimental and hypothesis-driven approaches. You'll leverage advanced analytics, machine learning, and AI techniques to solve complex industry problems and contribute to the creation of innovative solutions. Key Responsibilities: Hypothesis Development & Testing: Formulate testable hypotheses, design rigorous methodologies … and develop simulation environments to validate ideas and inform commercial decisions. Model Development & Implementation: Build and deploy advanced analytical models, machine learning algorithms, and AI solutions to address complex business challenges. Data Analysis & Insights: Conduct in-depth data analysis to identify trends, patterns, and opportunities for innovation. Collaboration: Work closely with data engineers, data analysts, and business stakeholders … research findings and measure the impact of new solutions. Documentation & Communication: Clearly document research methodologies, findings, and recommendations, and communicate effectively to both technical and non-technical audiences. Continuous Learning: Stay up-to-date with the latest advancements in data science, machine learning, and AI, and contribute to the continuous improvement of research methodologies and tools. Ideal More ❯

of state-of-the-art features for the platform. You'll be responsible for guiding the entire modelling lifecycle, from data preparation and analysis to the development of robust machine learning models and the creation of impactful, actionable visualisations. You'll also have the opportunity to shape the team's technical direction and mentor junior colleagues. Key Responsibilities … cleansing, and structuring processes for advanced model development. Leading investigations into patterns, trends, and anomalies within complex datasets, guiding the team to uncover key insights. Designing, building, and enhancing machine learning algorithms, providing technical leadership and guidance to junior data scientists. Communicating complex findings to both technical and non-technical audiences, presenting actionable recommendations with clarity and authority. … and development of innovative solutions, pushing the boundaries of what's possible with data science. Establishing and enforcing best practices for data science methodologies and documentation to facilitate team learning and knowledge sharing. Mentoring junior data scientists, fostering their professional development and technical expertise. Proactively developing new skills and staying abreast of cutting-edge methodologies in data science and More ❯

integrating internal and external data sources . Translate credit policy and business objectives into technical requirements and rule frameworks . Partner with data science teams to integrate statistical and machine learning models . Ensure compliance with lending regulations and deliver full audit transparency . Establish performance monitoring frameworks - approval rates, default trends, model accuracy . Drive automation across … R, SAS) . Proficient in enterprise system integration and data warehousing environments . Understanding of cloud platforms (AWS, Azure, GCP) for scalable decisioning . Advanced knowledge of statistical modelling & machine learning techniques . In-depth understanding of credit life cycle, affordability, and lending risk principles . Knowledge of credit policy, underwriting criteria, affordability metrics, and regulatory frameworks Who More ❯

into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems provide … decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modeling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit lifecycle. Strong grasp of credit underwriting, affordability metrics, and regulatory compliance requirements. ... More ❯

into technical requirements and system rules, defining risk appetite, decision flows, and application approval criteria. Oversee model integration : Work with data scientists and model developers to embed statistical and machine learning models (credit scoring, loss forecasting, affordability assessments) into decisioning systems. Ensure regulatory compliance : Incorporate responsible lending obligations and other relevant regulations into the framework, ensuring systems provide … decisioning engines with customer applications, credit bureaus, and internal data sources. Familiarity with cloud platforms (AWS, Azure, GCP) and their use in scaling decisioning systems. Expertise in statistical modeling, machine learning, and stress-testing methodologies. Domain Knowledge Deep understanding of financial products and the credit lifecycle. Strong grasp of credit underwriting, affordability metrics, and regulatory compliance requirements. ... More ❯

AWS or Azure. Ability to work collaboratively in a fast-paced environment. Excellent problem-solving and communication skills. Desirable Skills & Experience: Certification in Databricks or related technologies. Familiarity with machine learning and data analytics. Previous experience in data pipeline development. Knowledge of DevOps principles. Please note this role unfortunately is not able to accomodate visas & due to volume More ❯

e.g., Census) Knowledge of data privacy regulations (GDPR, ISO 27001) Experience supporting customer-facing analytics features in a multi-tenant SaaS environment Experience building data pipelines for AI and machine learning applications More ❯

communicate. You’ll be part of the team that manages and scales our massive speech corpora, builds automated pipelines for cleaning and validation, and works closely with annotation and Machine Learning teams to keep our models at the cutting edge. This is a pivotal moment for ConnexAI as we expand our speech technology capabilities and push the boundaries … to generate data-driven insights. Document data processes and tools, ensuring all datasets and analyses are well-documented, reproducible, and compliant with internal standards. Collaborate closely with data scientists, ML engineers, and product teams to identify opportunities to improve data quality, balance, and diversity through targeted analysis and feedback loops. Key Skills & Experience Strong programming skills in Python for data More ❯

Skills & Experience: Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What’s In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an More ❯

Skills & Experience: Infrastructure-as-code, CI/CD, and observability tooling Experience scaling systems under sustained load Contributions to internal tooling or open source Experience with large datasets and machine learning models Impact You'll Make: What’s In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an More ❯

agile team on applications, APIs, and services used globally. Develop in one or more core technology areas: NoSQL (MongoDB, DocumentDB) Graph databases (GraphDB, Neo4j) Search technologies (ElasticSearch, OpenSearch, SOLR) ML/AI frameworks (SageMaker, Bedrock) Cloud-based data engineering (AWS) Build and maintain cloud-native data pipelines, ensuring data quality, accuracy, and reliability. What We’re Looking For 5+ years More ❯

communicate. You’ll be part of the team that manages and scales our massive speech corpora, builds automated pipelines for cleaning and validation, and works closely with annotation and Machine Learning teams to keep our models at the cutting edge. This is a pivotal moment for ConnexAI, as we expand our Automatic Speech Recognition capabilities and push the … development of cutting-edge ASR and conversational AI systems. Ensure all datasets are securely backed up, recoverable, and well-documented for use across teams. Collaborate closely with data scientists, ML engineers, and product teams to identify opportunities to improve data quality and model performance. Interview Process 30-minute video call with the team lead Take-home technical exercise 90-minute … AI Voice, and AI Quality. We value growth, both for our products and our people. As we scale, there will be clear opportunities to progress into senior data engineering, ML engineering, or data science roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. 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 ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

to www.ascendion.com With Ascendion (www.ascendion.com), you: Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone More ❯

UI in the future as well as developing the actual tool to report their data. They are adopting 'Big Data' components and a recent Data Scientist hire is adding Machine Learning to the data we collect. Experience here would be a benefit. Requirements for the UI Developer role: - Essential Skills: JavaScript (ES6+), HTML, CSS, REST APIs, Jest, ESLint More ❯

UI in the future as well as developing the actual tool to report their data. They are adopting 'Big Data' components and a recent Data Scientist hire is adding Machine Learning to the data we collect. Experience here would be a benefit. Requirements for the UI Developer role: - Essential Skills: JavaScript (ES6+), HTML, CSS, REST APIs, Jest, ESLint More ❯

Supporting commercial engagements and client relationships What we’re looking for: Proven experience owning and delivering multiple projects Strong Python skills and experience writing production-grade code Familiarity with ML frameworks (TensorFlow, PyTorch, Keras, SKLearn) Proficiency with Git, Unix/Linux, Docker Experience with cloud platforms and MLOps best practices Emotional intelligence and people leadership skills UK citizen eligible for More ❯