21 of 21 Machine Learning Jobs in Lancashire

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 ...

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 ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

list a few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

pace and become job-ready in as little as afew weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

delivering real, production-ready outcomes. Key Responsibilities Define and implement the AI architecture strategy and roadmap Design scalable, secure, and high-performance AI/ML solutions Translate business requirements into end-to-end AI architectures Lead the design of data pipelines, model training environments, and deployment frameworks Implement best practices … technology, with a strong focus on AI, machine learning, and data architecture Proven track record of delivering enterprise-scale AI/ML solutions in complex environments Experience defining and implementing AI architecture strategies and roadmaps Strong hands-on experience building end-to-end AI systems (data pipelines, model ...

emerging trends in LLMs, GenAI, and AI tooling Experience Required Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning Proven experience building and deploying LLM/Generative AI applications in production environments Hands-on experience with RAG architectures, embeddings, and vector ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

communication skills Experience operating within Agile delivery environments Desirable Experience Microsoft Fabric Power BI development PySpark REST API integrations Lakehouse architectures AI and Machine Learning platforms Retrieval Augmented Generation (RAG) Vector databases Generative AI solutions Power Platform technologies Data transformation or modernisation programmes What We're Looking ...

Mathematics, Computer Science, Data Science). Proficiency in SQL and working knowledge of Python and/or R. Understanding of statistical and machine learning techniques (e.g. regression, clustering). Strong communication skills with the ability to explain technical concepts to non-technical audiences. Organised, proactive, and able … platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. SQL MS Excel Power BI Python and/or R Behaviours: Collaborative and team player Logical thinker with a professional ...

Analytics Officer, this is an opportunity to become the operational right-hand to a senior leader driving transformation across Data Engineering, Analytics, BI and Machine Learning. This isn't a traditional project coordination role. You'll be responsible for bringing structure, pace and accountability to a technically ambitious team … What you'll be doing: • Managing end-to-end delivery of data and analytics projects • Coordinating work across Data Engineering, BI and AI/ML teams • Running Agile ceremonies and delivery governance • Managing project plans, RAID logs and stakeholder communications • Removing blockers and driving accountability across teams • Translating technical progress ...

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. Step ...

platforms Familiarity with AI tools and modern development workflows Excellent communication skills Desirable Startup or scale-up experience Exposure to AI-powered products or machine learning Previous leadership, mentoring, or technical ownership responsibilities Package £80,000 - £110,000 salary Equity options Remote-first and flexible working Personal development ...

services or heavily regulated environments Cloud architecture and distributed systems Payments, lending, cards, pensions or capital markets technology Data protection and security architecture AI, machine learning or emerging technology strategy Stakeholder management at senior and executive level Architecture governance and operating models Composable architecture and Architecture as Code ...

.NET Developer - Fastest Growing Social Media Firm - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Manchester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

.NET Developer - Lancaster (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living Standard, CSS Living Standard, Programmer, Full ...

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET Developer) Since 2006 our client's ...