1 to 25 of 26 Machine Learning Jobs in Leeds

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 ...

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 ...

Machine Learning Engineer Type: Permanent Salary: £60,000-£70,000 Location: York or Manchester This position is for an experienced Machine Learning Engineer to join a newly established data science team. The primary focus is on building and maintaining the infrastructure to support the full data … Azure. Experience with deployment tools (e.g., AKS, managed endpoints). Strong software engineering background (CI/CD, VCS, TDD). Ability to integrate ML into business workflows. Desirable: Background in quantitative disciplines (math, stats, physics). Experience in finance, insurance, or ecommerce. Familiarity with ML frameworks like TensorFlow, XGBoost ...

modern tech stack, and a track record of delivering scalable software solutions across multiple sectors. THE BENEFITS * Hybrid working from their Leeds office * Dedicated learning and development budget * Mentoring from experienced AI and Software Engineers * Clear progression pathway as the AI capability grows * Exposure to real-world AI deployment … months' commercial experience in a software or AI-focused role * Ideally strong Python development skills * Experience working with data processing and APIs * Understanding of machine learning fundamentals * Familiarity with version control (Git) and Agile environments TO BE CONSIDERED: Please either apply through this advert or email me directly ...

notebooks in Jupyter Labs and PySpark on large dataframes. Exposure to industry forums, law-enforcement collaboration, or external fraud intelligence networks. Practical understanding of machine-learning concepts or model performance techniques that complement rule-based systems. Knowledge of machine learning techniques and approaches to analysis. ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. Scientific Python Ecosystem: Proficiency in Python for data science (pandas, numpy, scipy) and machine learning (sklearn, XGBoost, CatBoost, PyTorch). Data Engineering: Strong experience in SQL and data engineering principles (ETL/ELT), with the ability to handle ...

practices, and deployment automation within the platform Troubleshoot production issues and implement sustainable fixes Collaboration & Stakeholder Engagement Partner with data scientists to productionize machine learning workflows Translate business requirements into technical data solutions Support dashboarding and operational applications via Foundry Workshop Required Qualifications Bachelor’s or Master ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

data platforms and scalable engineering practices. With a cloud-first mindset and a collaborative culture, they are building the foundations for advanced analytics and machine learning. THE ROLE In this Principal Data Engineer role, you will: Lead the migration to modern cloud platforms, such as Azure which is enabling … working with Azure. Proficient in Databricks and Terraform. Confident mentoring and guiding engineers across teams. Exposure to containers and Kubernetes is advantageous. Awareness of ML Ops principles is beneficial. BENEFITS The successful Principal Data Engineer will receive the following: Salary up to £80,000 - depending on experience. Competitive benefits ...

working cross-functionally and influencing senior collaborators A strong delivery record across complex technology or change initiatives Knowledge of claims platforms, automation, AI/ML, cloud technologies and data analytics Excellent communication skills and a collaborative, pragmatic approach It's a bonus if you have: Experience working within regulated insurance ...

expertise, we are transforming how people discover products online. Our team consists of driven professionals and skilled engineers solving real-world search challenges using machine learning, algorithmic problem-solving, and robust infrastructure engineering. We've enabled global e-commerce brands to drive higher conversions, better product discovery ...

insights, this role offers genuine impact and ownership. THE COMPANY They are a young but highly ambitious data consultancy specialising in data engineering and machine learning. Their focus is helping businesses with recurring revenue models unlock the full value of their data, with a strong presence across investment-backed … infrastructure, ETL pipelines and automation workflows. Creating centralised, well-structured data environments from unstructured sources. Advising clients on how to evolve towards predictive and machine learning capabilities. Staying hands-on where needed while setting long-term technology direction. SKILLS AND EXPERIENCE The successful Head of Data and Infrastructure ...

delivering cutting-edge AI solutions. You'll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML .../ ...

Excel: advanced formulas, Pivot tables, Power Pivot. ETL/ELT tooling (SSIS/Power Query) and dimensional modelling (Star Schema). Practical AI/ML exposure (e.g., Python notebooks, Azure ML, or equivalent) and the ability to operationalise models responsibly within reporting workflows. Proven track record integrating disparate systems post … level. Project management experience. Qualifications Degree in a quantitative field (or equivalent experience). Microsoft certifications (DP-203, PL-300) advantageous. Evidence of continuous learning in data engineering, BI, and AI. What we offer Competitive salary commensurate with level of experience Hybrid working options considered following training & probation completion ...

recommendations and strategic thinking. Desirable Knowledge of supply chain/logistics KPIs. Proficiency in SQL for data extraction and transformation. Familiarity with AI/ML tools and languages, including Python, R, Azure ML, or AWS SageMaker. Why Ligentia? Why now? Accelerated growth in one of the most dynamic industries ...

pipelines and test automation tooling. Strong understanding of cloud architecture, service layers, and data management patterns. Passion for emerging technologies such as AI/ML, IoT, edge computing, or blockchain. Strong working knowledge of agile principles and modern delivery methodologies. Excellent stakeholder engagement, communication, and teamwork skills. High emotional intelligence … architecture and engineering standards at a strategic level. Clear pathway for continued professional growth and leadership development. Supportive, collaborative engineering culture built around continuous learning and technical excellence. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion ...

involved in the following: Own the execution of the engineering roadmap across all core products and drive architectural decisions for distributed data processing, ML pipelines and modern web systems. Ensure systems scale to support large datasets and evolving GenAI workloads. Champion engineering excellence including testing, observability, documentation and incident response … stability in fast-moving product areas. SKILLS AND EXPERIENCE The successful Head of Engineering will have the following skills and experience: Confidence operating across ML delivery, GenAI and distributed data. Cloud experience - ideally AWS. Understanding of Spark, Databricks or similar data technologies Knowledge of modern web (TypeScript or React ...

delivering cutting-edge AI solutions. You'll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices. Technical Lead - AI Responsibilities Lead AI-focused architecture, design, and engineering delivery across client engagements. Oversee … implementation of AI/ML solutions, from concept through to production. Act as the senior engineering authority, ensuring high-quality outputs across wider teams. Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies. Maintain expertise across modern tech stacks, cloud platforms and industry ...

.NET Developer – Leeds. Yorkshire (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 ...

scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients. THE COMPANY: This is a business built on innovation, stability, and genuine technical … excellence. Recently recognized for cutting-edge GenAI data work, they're operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology. THE ROLE: Own and execute the engineering roadmap Drive architectural decisions for distributed data processing, ML pipelines, and web architecture Ensure ...

scale while working on genuinely complex technical challenges. You'll own the engineering roadmap across all products, driving architectural decisions for distributed data processing, ML pipelines, and modern web systems that handle massive datasets for enterprise clients. THE COMPANY: This is a business built on innovation, stability, and genuine technical … excellence. Recently recognized for cutting-edge GenAI data work, they're operating at the absolute intersection of large-scale distributed systems, ML, and the rapid evolution of search technology. THE ROLE: Own and execute the engineering roadmap Drive architectural decisions for distributed data processing, ML pipelines, and web architecture Ensure ...