1 to 25 of 63 Machine Learning Jobs in Yorkshire

+ Excellent Benefits Job Type: Permanent, Full Time We're looking for a Senior Data Scientist to join a high-growth technology business where machine learning plays a critical role in driving commercial performance. This is an opportunity to work on complex optimisation challenges at scale, developing models … that directly influence pricing decisions, customer outcomes and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications. The Role As a Senior Data Scientist, you'll take ownership of developing and improving production ...

looking for a Junior DevOps/MLOps Engineer to help build, automate and maintain the infrastructure and pipelines that deliver software and machine learning models into production. Working alongside software and AI engineers, you will support reliable deployments, improve automation and help ensure production systems operate effectively … demand grows. This role would suit an early-career engineer with a foundation in cloud computing, scripting or software development and an interest in machine learning infrastructure. Key Responsibilities Support the configuration and maintenance of AWS infrastructure for software applications and machine learning workloads. Help build ...

programme and get a job or get your course fees back. 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 ITOL Recruit has over ...

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 ...

pace and become job-ready in as little as a few 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 … 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 ...

influence. Working closely with product, engineering, data science and leadership teams, you'll design and build scalable data platforms that power advanced analytics, machine learning, decision intelligence and emerging AI technologies. As the business continues to grow, there will be the opportunity to help build and lead … customer solutions. Create trusted analytics, reporting and business intelligence solutions. Design and manage secure, reliable data services and APIs. Build data infrastructure supporting machine learning, statistical models and AI systems. Establish best practices for data quality, governance, lineage, metadata and observability. Embed security, privacy and compliance into data ...

Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets … ensure seamless downstream data delivery for all enterprise consumers.Key Responsibilities:Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products.Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions.Build and optimise dimensional and analytical data ...

Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets … ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional ...

ready architecture concepts including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you In addition ...

ready architecture concepts — including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for youAt Accenture ...

attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine ...

source data,transactional insights & fraud indicators from partnershipsApply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc.Utilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/challenger … potential impact to our clients (i.e. addressing the "why" behind our decision making)What could set you apartExperience of developing AI/ML based fraud solutions and modelsDay to day use of G-Suite tooling, GCP and VertexAIExperience of working in a credit reference agency and/or client environment ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture — proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Permanent As a Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

Software Engineer Machine Vision We are looking for an AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. The role … improvement. Key Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing ...

Azure, AWS or GCP. Understanding of data governance, privacy and compliance. Desirable: Experience with monitoring, observability or security log data. Knowledge of AI/ML platform monitoring and controls. Experience with ELK Stack, Splunk or similar tools. Background in banking, financial services or another regulated industry. If this role ...

exposure The business is increasing its investment in AI, including Azure AI Foundry. This isnt an AI Engineering position and you dont need deep Machine Learning experience. Practical use of Copilot or another LLM as part of your engineering work would be useful, whether thats development, debugging, code ...

familiarity with CI/CD and source control best practice. Desirable : More Data Science leaning background or want to explore in this role: ML/AI & data/predictive modelling strategies. Why you'll love this job A highly visible, hands-on role with real influence over data architecture ...

Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job DescriptionThis … InformationBenefits include: Hybrid working model with some flexible working25 days' holidayPrivate Medical Health care via VitalityPension contribution, Life AssuranceProfessional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access ...

technology vendors to secure favourable SLAs and pricing structures. Championing an AI-first and cloud-first strategy, leveraging Generative AI, Microsoft Copilot, intelligent automation, machine learning, AIOps, and cloud-native platforms to improve service delivery and operational outcomes. Driving large-scale organisational change across the region, building ...

with senior leadership to connect technology investment to customer outcomes, commercial priorities and business strategy. Key Skills: Proven experience delivering production-grade AI and ML solutions, not just experimentation or proof of concepts. Strong hands-on experience with generative AI, LLMs and AI application architectures, including RAG, prompt engineering, agents ...