13 of 13 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 ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...

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 ...

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 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. ...

speed, quality, reliability, user outcomes) and decide what to scale, iterate or stop. Collaborate with specialists: Work effectively with internal or external data/ML specialists and vendors to integrate AI services into our products and platforms. Understand the lifecycle of AI features from idea → prototype → production and what … product families, aligning engineering management with a portfolio/product structure. Experience with distributed or remote teams across time zones. Prior experience in ML/AI-specific leadership roles (e.g. leading data/ML engineering teams) is a plus but not required. ...

Spatial AI & ML Data Scientist (ArcGIS, Python) 10 Months (part-time) Remote £400 to £500 a day (Outside IR35) Currently looking for a Data Scientist to Design, build, and validate AI/ML models for geospatial products: Essential Skills 5+ years in AI/ML model development and predictive analytics ...

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 ...

platforms using state-of-the-art technologies. As part of our Chief Technology Office, you'll work on implementing the latest AI/ML solutions for our bank. In this role, you'll collaborate with talented engineers to design and implement high-performance backend systems that enhance our AI platforms … skills may include: Hands-on, curious Engineer with good collaborative skills. Infrastructure as code knowledge (terraform, CloudFormation). Experience developing or integrating AI/ML frameworks, e.g. LangChain. Bachelors in Computer Science, related fields, or equivalent experience. You may be assessed on the key critical skills relevant for success ...

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 ...