9 of 9 Machine Learning Jobs in Cheshire

Overview The Senior Data Scientist is responsible for developing and implementing advanced data science models, machine learning algorithms, and predictive analytics solutions to drive business insights, product innovation, and operational efficiencies at IMS. This role plays a critical part in enhancing telematics, mobility, and insurance technology solutions through data-driven decision-making, statistical analysis, and AI-driven automation. … insights to Executive Leadership, helping shape strategic decisions. Engage with customers and partners, translating data science capabilities into real-world applications. Research and Innovation Stay ahead of emerging AI, ML, and data science trends, integrating innovative techniques into IMS solutions. Contribute to research papers, patents, and industry collaborations, positioning IMS as a thought leader in data science. Requirements 5+ years … statistical modelling, probability theory, and mathematical optimization. Experience deploying machine learning models to production (MLOps, Docker, Kubernetes, etc.). Familiarity with AWS/GCP/Azure cloud ML platforms for scalable model training and inference. Strong problem-solving, communication, and business acumen skills. Experience in telematics, mobility, insurance, or IoT industries. Knowledge of deep learning applications. Why More ❯

architectural design and construction. This role will report to a Research Manager in the AI Lab. Location : UK/EMEA, US or Canada Remote or Hybrid Responsibilities · Develop new ML models and AI techniques · Lead on research projects within a global team · Review relevant AI/ML literature to identify emerging methods, technologies, and best practices. · Explore new data sources … and discover techniques for best leveraging data Minimum Qualifications · A Master's or PhD in a field related to AI/ML, such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, or related disciplines · Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, metrics, and benchmarks, and deploying production-ready … techniques, etc.) · Familiarity with PyTorch, PyTorch Lightning, or similar frameworks · Strong coding abilities in Python · Strong Software development skills and familiarity with GPUs, MLOps, Git, High-performance large-scale ML systems and platforms. · Experience with Transformers, LLMs, NLP, Multi-modal Deep Learning, and VLMs/MLLMs · Publication track record in machine learning conferences and/or journals More ❯

on what data they need and how best to use it. Balance short-term business demands with long-term analytical strategy and sustainability. Apply and explore Data Science and Machine Learning techniques, including segmentation, to enhance insight and discovery. What We're Looking For Strong experience in data visualisation (Power BI ideal). Solid SQL skills and comfort … ability. Ability to collaborate with stakeholders and translate requirements into analytical solutions. Curiosity, proactivity, and the ability to guide others toward the right insight. Exposure to Data Science/Machine Learning techniques is a plus. What's On Offer Salary up to £65,000 , depending on experience Hybrid working - 2/3 days in the Heald Green office More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable More ❯

capital, portfolios) and risk calculations (market risk, credit risk, RWA, Stress Capital Buffer). We operate a scalable analytics stack—distributed compute and GPU clusters, Spark/Hadoop, JupyterHub, ML toolkits, REST APIs, and microservices—to deliver timely, high quality results that inform capital actions and strategic balance sheet management. Also AI is widely used for different use cases for … apply various statistical and analytical tests for validating models and results. Develop presentation decks using visual analytics tools and techniques. (JupyterHub/Python) Apply data mining, data modelling and machine learning techniques to analyze large financial datasets and enhance the model performance. To be successful in this role, we’re seeking the following: Master/MBA/PhD … etc.) and manipulating data using SQL and Pandas Excellent written and verbal communication skills for coordination across teams Understanding of design, development and implementation of mathematical, financial risk and ML models Relevant work experience in a related field based on education level Knowledge of advanced statistical techniques and concepts (regression, time series analysis, statistical tests, etc.) At BNY, our culture 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 ❯

or GCP 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 ❯

Familiarity with SLAs , service management tools, and ticketing systems (ServiceNow a plus) Nice-to-Have PowerBI, Qlik Replicate, Fivetran, Snaplogic, Globalscape Python, Full Stack (Node/React.js), AI/ML Informatica ETL, Oracle PL/SQL, QlikSense/QlikView Bachelor’s in CS/IT (preferred More ❯

data solutions. Work with Snowflake (ideal), or similar cloud data platforms. Implement or contribute to real-time data processing frameworks (a strong bonus). Integrate data solutions with AI & ML workflows where beneficial. Apply broad engineering knowledge to support system scaling, optimisation, and performance tuning. Collaborate with cross-functional teams to understand data needs and propose effective solutions. Communicate technical … communication skills with the ability to challenge, propose, and influence. A proactive mindset, excellent critical thinking, and a collaborative approach to solving complex problems. Bonus: experience working with AI & ML integration in data pipelines. What's On Offer Salary up to £75,000 , depending on experience Hybrid working - 1/2 days in the Heald Green office Autonomy/Flexible More ❯