18 of 18 Machine Learning Jobs in Cheshire

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 ...

/ML ENGINEER Salary up to £60k Hybrid working - 2 days on-site in Cheshire Opportunity to join a growing, dedicated AI engineering function ABOUT THE CLIENT We're supporting a well-established UK organisation that is making a significant investment in Artificial Intelligence and Machine Learning. Rather than … Generative AI, Agentic AI and Machine Learning projects Strong focus on technical development and emerging technologies THE ROLE As an AI/ML Engineer, you'll design and build production-ready AI solutions that deliver measurable value across a large-scale organisation. You'll work across Generative ...

responsible data use Work collaboratively with Technical Engineers, Product Owners, and Solution Architects Requirements A minimum 3 years in data science, analytics, Agentic AI, machine learning or modelling is essential Proficiency in data analysis, customer analytics, building and validating models for forecasting, pricing, and segmentation and visualisation tools … e.g. Agentic AI, Machine Learning, Python, SQL, SAS, Power BI, Tableau) Experience with cloud-based data platforms (e.g. GCP native tools) Unafraid to challenge the status quo, have an intellectually curious outlook, where you seek to innovate and adapt quickly from setbacks. Apply product led thinking to reporting ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals - Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery - Experience building AI-powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals – Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery – Experience building AI‐powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

research, analytical, and problem-solving skills. Excellent written and verbal communication skills. Ability to collaborate effectively within cross‐functional teams. A proactive approach to learning new technologies and adapting to a rapidly evolving AI landscape. Key Responsibilities Over the next 18 months, the successful candidate will contribute ...

diagnostic skills. Desirable: Experience working within Investment Banking or Global Markets environments. Experience testing workflow, task management or case management systems. Exposure to AI, Machine Learning or Large Language Model solutions. Experience validating AI-driven classification, routing or decision-making workflows. Experience with Oracle, Hadoop and Elasticsearch. Familiarity … Oracle Hadoop Elasticsearch Git CI/CD Pipelines AI/LLM Platforms Agile Delivery At mthree, our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We take great pride in celebrating the diversity of each ...

learning or related solutions Strong programming skills, particularly with Python Experience integrating AI models, APIs or automation solutions Understanding of AI/ML frameworks and modern AI development practices Experience working with cloud technologies (Azure experience beneficial) Strong software engineering understanding and experience working with system integrations Ability … communication skills with the ability to work with both technical and non-technical teams Desirable: Experience with data processing and management tools Familiarity with ML frameworks and libraries such as TensorFlow, PyTorch. Experience deploying AI solutions into production environments This is an excellent opportunity for an AI Engineer who wants ...

complex engineering problems. Some other highly valued skills may include: Proficiency in Python and Java. Familiarity with AWS Bedrock and associated AI/ML services. Ability to solve multi‐layered, ambiguous problems with minimal support. Strong engineering judgement, with a focus on secure, scalable, and maintainable solutions. ...

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 ...

improvement, knowledge retrieval efficiency, and scientist adoption, and communicate vision and progress to senior stakeholders. Essential Skills/Experience Strong understanding of Generative AI, machine learning, scientific informatics, automation, and digital technologies Experience leading multidisciplinary teams and influencing senior stakeholders across complexorganisations Proven ability toleadorganisationaltransformation and technology adoption ...

improvement, knowledge retrieval efficiency, and scientist adoption, and communicate vision and progress to senior stakeholders. Essential Skills/Experience Strong understanding of Generative AI, machine learning, scientific informatics, automation, and digital technologiesExperience leading multidisciplinary teams and influencing senior stakeholders across complex organisationsProven ability to lead organisational transformation ...

within the Chief Information Security Office's GenAI portfolio to secure innovation at scale. Key responsibilities include staying up to date with AI/ML trends, producing technical docs, and implementing robust AI solutions with cloud and container technologies. #J-18808-Ljbffr ...

goals. Collaboration with other areas maintains alignment with business strategy, while solutions are based on sophisticated analytical thought and research. Qualifications & Skills AI/ML Architecture: AI/ML frameworks, multi‐cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

data and AI solutions are accurate, secure, and accessible to stakeholders. This role is based out of Knutsford. Key Skills/Qualifications AI/ML Architecture: AI/ML frameworks, multi cloud platforms, data architectures, MLOps, and secure, scalable enterprise AI solution design. Enterprise Architecture & Governance: EA frameworks, AI governance ...

engineers, supporting their growth and performanceCollaborating with stakeholders to turn business needs into impactful data solutionsDriving development of our data platform, including AI/ML-ready architectureEstablishing best practices across data governance, quality, and securityWhat we’re looking for...EssentialProven experience as a Senior or Lead Data Engineer in complex environmentsStrong … progress your career in many directions.The development of our people has always been a priority for us. We have established a culture of continuous learning and knowledge-sharing which means our colleagues are constantly exposed to new experiences and ways of working.Everyone in Radius, from entry-level ...

Overview Automation Technologies and AI/ML-Driven Platforms and Analytics Tools; in the realm of automation technologies and AI/ML-driven observability platforms and analytics tools, the following are essential: Terraform Itential NetDevOps Splunk Python React JS Django Database Technologies Proficiency with database technologies is crucial, including: MySQL ...