14 of 14 Machine Learning Jobs in Cheshire

ML Engineer Location: Chester (Hybrid - 2x week in office) Salary: £70,000 - £80,000 About the Role I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists … paced, high-impact environment. What You’ll Be Doing Operationalising machine learning models and ensuring they are production-ready Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models Contributing to churn and revenue prediction use cases Working on conversational AI, including ...

Lead Analyst Data Science Technology – Core Python, Data Science, GEN AI Location – Chester or Bromley Job Description Infosys is seeking a Senior AI/ML & Generative AI Engineer with deep expertise in designing, developing, and deploying advanced AI solutions. This includes core Python development using OOPs concepts, Large Language Models … will collaborate with clients to understand complex business challenges, architect scalable AI solutions, and deploy them using modern cloud platforms such as AWS, Azure ML and GCP AI Services. This role offers the opportunity to work on cutting-edge technologies in Generative AI, LLM fine-tuning, agentic orchestration, and vector ...

Role As a Senior AI Security Engineer , you will be the Subject Matter Expert (SME) responsible for protecting the bank's AI/ML ecosystems. You will bridge the gap between Data Science and Cyber Security, ensuring that Large Language Models (LLMs) and Generative AI deployments are resilient, governed … security platforms (e.g., Azure AI Security, AWS AI Guardrails, or Google Vertex AI Security ). Threat Modelling & Pentesting: Conduct specialized assessments of AI/ML pipelines, model APIs, and data ingestion layers. Security Automation: Use Python to develop custom tooling and scripts that automate vulnerability testing for AI-related software. ...

accommodates the latest security and software lifecycle patterns. Required Skills/Experience: Experience conducting threat modelling, penetration testing, and vulnerability assessments across AI/ML ecosystems, including data pipelines, model APIs, and supporting infrastructure. Hands on expertise with core cybersecurity technologies, such as firewalls, SIEM platforms, IDS/… DevSecOps methodologies integrated into CI/CD workflows. Working knowledge of machine learning concepts, data processing techniques, and common AI/ML frameworks (e.g., PyTorch, Scikit learn, LangChain) - considered a strong advantage. Risk Management and working experience and understanding different delivery methods, e.g. Scrum, Kanban, JIRA, Agile etc. ...

technical delivery Hands-on development of data pipelines, working with tools such as AWS, KNIME and Snowflake Hands on coding and deployment of ML & AI Models Cross-functional working with departments such as Aftersales, Production & Marketing, to gain a rounded exposure Supporting delivery of VW Group data products, with opportunities ...

Factory, Synapse, Data Lake, Functions, Logic Apps) Power BI data modelling and dashboard development expertise Practical experience using OpenAI APIs or similar AI/ML services Deep understanding of data warehousing concepts and architectures Confident communicator with strong analytical and problem-solving skills What ...

plus) Bonus points for… Knowledge of asynchronous messaging patterns Experience with Azure Data Lake, Data Factory, and Logic Apps Exposure to AI, machine learning, or data engineering CI/CD experience with Azure DevOps Why You’ll Love Working There... You’ll be part of a collaborative ...

plus) Bonus points for Knowledge of asynchronous messaging patterns Experience with Azure Data Lake, Data Factory, and Logic Apps Exposure to AI, machine learning, or data engineering CI/CD experience with Azure DevOps Why Youll Love Working There... Youll be part of a collaborative and forward-thinking ...

CQRS and MediatR Experience working within Agile/Scrum teams A passion for quality, maintainability and continuous improvement Desirable (but not essential) AI/Machine Learning exposure Azure Infrastructure as Code Data engineering or Databricks experience Power Platform/Power Apps Why This Role Is Different Greenfield rebuilds ...

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 ...

/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. ...

someone with experience across: Workflow automation platforms (e.g., Make, n8n, Zapier, Workato) API design, integration, authentication Python, JavaScript or similar scripting languages AI/ML models (LLMs, embeddings, classification, summarisation) Data wrangling and ETL tools Cloud platforms and serverless architectures RPA or orchestration frameworks They are in a great position ...

strategic and has experience of PowerBI, Fabric, Power Apps ideally with exposure to Cognos TM1, SQL, DAX Power Query, data manipulation and querying, ML/AI and Qlik would be beneficial to create robust and scalable BI solutions. Data and Analytics Manager to join our team in Wardle. Reporting directly … least 5 years in Data Analytics, with 2+ years in a management role (ideally within a mid-sized enterprise rather than a rigid corporate machine). Technical Chops: Proficiency in SQL , and ideally Python or R , with a deep understanding of data warehousing and ETL processes. Platform Expertise: Solid ...

computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers. Essential Skills & Experience Strong Python experience for ML and inference workflows Hands-on experience with PyTorch Solid grounding in computer vision fundamentals (object detection, tracking, classification) Experience deploying models into production environments Practical … Edge AI or embedded GPU platforms Real-time or multi-stream video pipelines TensorRT, ONNX, or similar optimisation toolchains Linux-based development environments Containerised ML or inference deployments Experience balancing model accuracy vs. inference speed in constrained environments Profile Sought Senior engineer who remains hands-on with models and code ...