1 to 25 of 37 Machine Learning Jobs in Cheshire

define and evolve standards for CI/CD, experiment tracking, model lineage and controlled promotion across environments. Using Databricks, MLflow and Azure ML, you’ll help create scalable, well-governed pipelines that are reproducible, traceable and auditable. You’ll also embed model risk management into delivery, supporting repeatable builds, clear … excellence, reusable patterns and production‐ready ways of working. You’ll mentor colleagues, support communities of practice and influence platform and architecture decisions so ML products deliver sustainable business value at scale. More About the role: Design and evolve scalable, production-grade ML workflows on Databricks. Lead effective ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

Sciences customers across European markets Process, harmonize, and connect Veeva Data Cloud products with diverse European healthcare data assets Develop and apply statistical methodologies, machine learning, and AI models to solve complex, high-impact commercial and strategic business questions in the Life Sciences space Build and design … validation processes to ensure defensibility, scalability, and transparency across client engagements Requirements 2+ years of proven experience in data science, advanced analytics, or machine learning roles, preferably within Life Sciences, pharmaceuticals, or healthcare analytics Strong problem-solving and communication skills, with a track record of collaborating effectively across ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

Engineer to join its expanding technology team. This is a great opportunity for a strong software engineer with commercial experience of AI, machine learning or generative AI to work on projects that are already being used across a large organisation. The successful candidate will work across the full … monitoring and responsible use Skills Strong commercial software development experience, ideally with C#/.NET and/or Python Hands-on experience with AI, machine learning or generative AI technologies Experience working with Azure and cloud-based technologies Knowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic ...

build the future of AI. Working at Comet will give you access to the most exciting work being done in all areas of machine learning. Some of the top researchers and companies working on self-driving cars, drug discovery, particle research, diffusion models, and LLMs use Comet every day. … right place for you. Comet is backed by more than 63 million in venture capital funding and powers some of the best machine-learning teams in the world, including Netflix, Uber, Etsy, and Mobileye. We are a remote-first company with offices in New York City ...

Royal London is seeking a Senior Machine Learning Engineer (MLOPS) to design production‐grade ML workflows using Databricks, MLflow and Azure ML, with strong governance and risk management. You will mentor colleagues, define CI/CD standards, promote reusable patterns, and collaborate with data scientists and platform teams … productionise models safely and efficiently. This hybrid UK role offers engaging benefits and the chance to shape ML engineering practices across the business. #J-18808-Ljbffr ...

Lloyds Banking Group is seeking a Senior Machine Learning Engineer to build and maintain ML solutions in production for the Consumer data space. You will apply strong software engineering practices to develop scalable models and data pipelines, collaborating with data scientists and other ML engineers across projects. ...

Supporting practice development through offering development, recruitment, campaign development, internal think-tanks, whitepapers, operational excellence and capability building across Data, AI and Agentic AI. • Learning & Development - Continuously developing your own expertise in emerging data and AI technologies and consulting leadership through training, certifications and applied innovation, while fostering … culture of continuous learning across the practice. YOUR PROFILE We are looking for a T-shaped leader: broad enough to run an enterprise programme end to end, and deep enough in data and AI to be a genuine peer to the engineers and architects you lead. What matters most ...

useful: Azure Functions, App Services or Logic Apps DevOps and CI/CD pipelines REST APIs and integrations Azure AI, OpenAI or Copilot technologies Machine learning IoT platforms or data-driven applications What you'll bring We're looking for someone who: Is genuinely interested in technology … continuous learning Takes ownership of their work Enjoys solving problems and finding better ways of doing things Works well with both technical and non-technical colleagues Takes pride in producing quality software Has good attention to detail Is curious about new technologies, particularly AI Brings a positive, collaborative approach ...

Django, Flask, PyTorch, JavaScript (React, Node.js), and Go, with hands-on experience in full-stack development. Proficiency in deploying and managing AI/ML models as services or APIs, along with a deep understanding of machine learning models, including their training, inference, and deployment processes on Runpod platforms. … collaborative teams utilizing slack as the main form of internal communication Join a passionate team on the cutting edge of AI infrastructure where culture, learning, and ownership are at the heart of how we scale. 1,200 USD Home Office & Equipment Stipend- We set you up for success from ...

into real, scalable product features. Responsibilities Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) Integrate LLMs and/or ML models into existing services and workflows Evaluate, select, and optimize AI tools, APIs, and frameworks for production use Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) Experience integrating APIs and working within distributed systems Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) Experience building or integrating AI-powered features into applications (not just experimentation) Strong understanding of data flow ...

data sources onto a single governed platform Using version control and DevOps practices to support reliable development and deployment Exploring practical uses of AI, machine learning and automation Investigating and resolving complex BI, data and reporting issues What we're looking for Strong Power BI experience Confident ...

data sources onto a single governed platform Using version control and DevOps practices to support reliable development and deployment Exploring practical uses of AI, machine learning and automation Investigating and resolving complex BI, data and reporting issues What we're looking for Strong Power BI experience Confident ...

problems. Desirable requirements Synthetic organic chemistry laboratory experience Experience within a process or manufacturing environment Familiarity with data science methodologies and AI/ML implementations in laboratory automation. Knowledge of GLS requirements for instrument maintenance Experience working with ALRs and HTE automated platforms Skills and capabilities Ability to challenge, innovate ...

tooling bring AI concepts into real, scalable product features. Design and implement AI-powered features within the platform (e.g., Integrate LLMs and/or ML models into existing services and workflows Evaluate, select, and optimize AI tools, APIs, and frameworks for production use Collaborate with Product to translate business problems … engineer in a SaaS or cloud-based environment Strong backend engineering experience (RoR and/or Golang preferred) Hands-on experience with AI/ML tools (e.g., Experience building or integrating AI-powered features into applications (not just Strong understanding of data flow, system design, and performance optimization Experience with ...

adjustments and strategic initiatives. Price Optimisation & Advanced Analytics Explore and implement price optimisation approaches using advanced analytical methods and technologies. Leverage latest analytical tools, machine learning techniques, and data science methodologies to enhance pricing decision-making. Identify opportunities to improve pricing outcomes through data-driven experimentation and optimisation. ...

delivering measurable outcomes Standout experience: Travel, hospitality, property technology, ecommerce or fintech experience Holiday parks, short-term rentals or property management platforms AI/ML operationalisation, experimentation frameworks or feature engineering Experience with Fabric, Databricks, Snowflake or BigQuery Building managed services or owner-focused commercial products 33 days holiday (+ ...

data accuracy, governance, and delivering insight that influences practical business decisions. Desirable Background: Exposure to broader Azure Data Services, Qlik, Cognos TM1, or machine learning/AI forecasting is a bonus. Who You Are A Collaborative Business Partner: Comfortable operating as the connector between technical teams and operational ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

chat, conversational self-service, and fallout prevention, while shaping the model team structure for managing technology and concepts in this space, including AI/ML and advanced data analysis. To be successful in this role, you will need the following: Extensive experience in conversation design, with a strong track record ...

Recruitment is working with one of the North West's leading employers to recruit an AI Engineer in Chester. This role focuses on AI, ML, or generative AI, taking concepts from proof of concepts to production, collaborating with engineers and stakeholders. You will develop AI-powered applications using Azure technologies ...