1 to 25 of 49 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 ...

impact every day. What s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here Hi, I'm Andra, Director of Data at Airalo … data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside ...

Product (MVP) and enterprise-scale deployment. Technical Innovation & Experimentation: Drive work within the Ideation pillar by prototyping, testing, and evaluating novel GenAI concepts and machine learning techniques to determine scalability and business value. Senior Collaboration & Governance: Work closely with the Chief Data Scientist to align technical strategy, receive … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

Product (MVP) and enterprise-scale deployment. Technical Innovation & Experimentation: Drive work within the Ideation pillar by prototyping, testing, and evaluating novel GenAI concepts and machine learning techniques to determine scalability and business value. Senior Collaboration & Governance: Work closely with the Chief Data Scientist to align technical strategy, receive … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

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/ ...

unlock the potential of Generative AI by tapping into real-world expertise from across the globe. If you join the platform as a Machine Learning expert, you ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM … Master s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Your level of English is advanced ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one. We expect you to have a good understanding of ML but on the other side to be a good product ...

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 ...

deliver scalable, impactful solutions that shape the future of insurance. You ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have … infrastructure as Code (IaC) deployment industry-best practices. Hands-on experience in Data Quality and Data Governance techniques. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Work Your Way: Enjoy full flexibility work from home, the office ...

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 ...

understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help … Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed ...

understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help … Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed ...

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 ...

design process. Work on Veeva Link s next-gen Data Platform Work with JVM-based languages or Python on Spark-based data pipelines Operate ML models in close cooperation with our data science team Expert skills in Java or Python Experience writing software for the cloud (AWS or GCP) Speaking … English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Experience with operating machine learning models (e.g., Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DevOps skills, including terraform and general CI/CD experience Previously worked ...

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 ...

system design, tech stack decisions, and platform boundaries, optimizing for scalability, performance, and maintainability. The tech stack includes Golang, React/TypeScript, Python, various ML models, MySQL, F#, Docker images deployed on a Kubernetes cluster in our cloud infrastructure (GCS, AWS, or Azure), and GitHub CI/CD. Bachelor ...

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 ...

adapt to emerging technologies. Strong teamwork skills and sound judgment on when to seek help or collaborate. Nice to Have Experience with AI/ML or enterprise software (especially B2B SaaS) that complements Factory s mission. Prior work at startups or in high growth environments where you built processes ...

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 ...

gaps in Ruby codebases. Comfortable with standard version control workflows (Git) and Linux CLI tools. Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects. Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments. Strong skills ...