26 to 50 of 168 Machine Learning Jobs in the North of England

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 ...

successfully transition into robust, enterprise-grade systems within a modern, cloud-native environment. Responsibilities: Contribute to the evolution of our Data Science platform, defining ML Engineering best practices, tooling and architecture as our team and portfolio grow. Drive automation across the end-to-end data science lifecycle using CI/… infrastructure-as-code to support scalable production workflows. Collaborate across the full model development and deployment lifecycle, spanning traditional ML and generative AI solutions. Work closely with data engineers, software engineers and wider business teams to deliver impactful, production-ready ML services. Write clean, maintainable, high-quality Python code following ...

Leeds City Centre with a hybrid setup (2 days per week in-office). Their work sits at the intersection of data science, machine learning, and real-world problem solving. They help organisations ask better questions of their data, and then build the models, tools, and insight … environment, with opportunities to support other data platforms over time. In practice, that means you’ll: Design, build, test, and deploy data science and machine learning models inside client data environments. Create prototypes and proof-of-concepts to explore ideas, test assumptions, and shape future solutions. Translate fuzzy ...

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 ...

Machine Learning Engineer - Research Team Join the research arm of a leading gaming organisation to develop cutting-edge AI solutions that transform game quality assurance. This role focuses on automating … testing by building intelligent agents that detect anomalies and glitches in gameplay, ensuring an exceptional player experience. Key Responsibilities Design and implement ML models for anomaly detection in video streams and gameplay data. Apply computer vision and video analysis techniques to identify irregularities and bugs. Explore advanced methods such ...

, and operations research (linear, mixed integer programming, heuristics) Fluent in Python(required) and other programming languages (preferred)with strong skills in applying DS, ML, and OR packages (scikit-learn, pandas, numpy, gurobietc.) to solve real-life problems and visualise the outcomes (e.g. seaborn) Proficient in working with cloud platforms … preferred), code versioning (Git), experiment tracking (e.g. MLflow) Experience with cloud-based ML tools (e.g. SageMaker), data and model versioning (e.g. DVC), CI/CD (e.g. GitHub Actions), workflow orchestration (e.g. Airflow/Dagster) and containerised solutions (e.g. Docker, ECS) nice to have Experience in code testing (unit, integration ...

Title: Machine Learning Engineer - Computer Vision (Contract) Location: UK Remote/Hybrid Day Rate: 4-600 per day Why Apply? All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. This contract offers the opportunity to take full technical … ownership of a high-impact computer vision workstream focused on real-world AI deployment. You will lead the development and improvement xxuwjjq of machine learning models that detect damage on large commercial vehicles u... ...

Title: Machine Learning Engineer - Computer Vision (Contract) Location: UK Remote/Hybrid Day Rate: 4-600 per day Why Apply? All the relevant skills, qualifications and experience that a successful applicant will need are listed in the following description. This contract offers the opportunity to take full technical … ownership of a high-impact computer vision workstream focused on real-world AI deployment. You will lead the development and improvement xxuwjjq of machine learning models that detect damage on large commercial vehicles u... ...

curious Data Scientist to join our team and help transform complex data into clear, actionable insights that drive business performance. Youll use statistical methods, machine learning, and data visualisation tools to identify trends, solve problems, and support data-driven decision-making across the organisation. In this role, youll … data through clear, engaging dashboards and presentations. Work collaboratively with engineers, analysts, and business leaders to deliver impactful projects. Develop and enhance AI/ML tools, including Google Vertex AI and Azure ML. Stay up to date with emerging tools, technologies, and best practices in data science. Youll measure success ...

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

ingestion pipelines from structured and unstructured data sources Integrating predictive models into operational applications used by claims handlers and lawyers Supporting the deployment of machine-learning models into production environments Assisting with CI/CD pipelines to ensure analytics products are stable, scalable, and secure Working alongside … Some experience in software development (academic, placement, or early career) An understanding of APIs and systems integration concepts A strong interest in predictive modelling, machine learning, and analytics Good problem-solving skills and a proactive willingness to learn Desirable Exposure to analytics platforms or machine learning ...

ML Engineer Location: Chester (Hybrid - 2x week in office) Salary: £70,000 - £80,000 About the Role I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists … paced, high-impact environment. What You’ll Be Doing Operationalising machine learning models and ensuring they are production-ready Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models Contributing to churn and revenue prediction use cases Working on conversational AI, including ...

Role: Data & ML Engineer Location: Newcastle Upon Tyne Levels: Senior Analyst, Specialist Experience Level: 3+ years Please Note: Due to the nature of client work you will be undertaking, you will need to be willing to go through a Security Clearance (Including BPSS) process as part of this role, which … cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. Role Overview: As a Data & ML Engineer, you will design, build, and optimize scalable data pipelines and machine learning solutions. You’ll work with client teams to deliver intelligent ...

Senior ML Operations Engineer (Python) Salary: Up to £66,000 depending on experience Location: Manchester - (Hybrid working - currently 40% on site increasing to 60% within 12 months) Ref: J13060 We are seeking a Senior ML Operations Engineer to take ownership of how machine learning models are deployed … impact sits in the middle, where strong engineering judgement meets real world business outcomes. What you will do Own and improve Python based ML and pricing deployments Build and maintain shared deployment tools and frameworks Enable controlled and repeatable model releases Work closely with engineers, analysts and stakeholders Influence technical ...

organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape … experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on experience with … SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

Deploy, monitor, and manage machine learning models in production Automate model training, testing, and deployment workflows Ensure scalability, reliability, and security of ML systems Collaborate with data scientists and engineering teams to productionise models Troubleshoot and optimise existing ML pipelines Required Skills & Experience Strong hands-on xkybehq experience … with AWS SageMaker Solid understanding of MLOps best practices Experience with CI/CD pipelines for ML workloads Proficiency with Python and relevant ML frameworks Experience working in cloud-based environments (AWS) Security Requirements Active SC Clearance ...

Spark, and Delta Lake Build and optimize ETL/ELT workflows for batch and streaming data Develop data models to support analytics, reporting, and machine learning use cases Ensure data quality, reliability, and performance across … data platforms Integrate data from multiple sources including APIs, databases, and cloud storage Collaborate with data scientists and analysts to enable advanced analytics and ML workloads Implement monitoring, logging, and cost-optimization best practices Follow data governance, security, and compliance standards Document data pipelines, architectures, and best practices Required Qualifications ...

growing our AI capabilities and we’re looking for curious problem solvers who love turning data into decisions. If you enjoy spotting patterns, learning to write code, and testing ideas with evidence, this is where you’ll make a difference. Role During this programme, you’ll work … such as below work as part of team to become expert-level data and AI talent: AI Adoption & Enablement – helping shape, test and improve ML models, data pipelines, or automation solutions Data & Insights – partnering with product, operations or customer facing teams to understand real problems AI can help solve Customer ...

engineering, and analytics, translating strategic goals into clear product outcomes and actionable backlogs. You'll own the roadmap for data products that enable analytics, machine learning, and data-driven decision-making at scale. Key Responsibilities Own and manage the product vision, roadmap, and backlog for data platform capabilities … Ensure data products are scalable, secure, cost-efficient, and aligned with best practices Drive adoption and value realisation of Databricks (e.g. data engineering, analytics, ML use cases) Collaborate with engineering teams to plan sprints, manage dependencies, and remove blockers Balance short-term delivery with long-term platform strategy Monitor platform ...

ML ENGINEER UP TO £80,000 + BENEFITS HYBRID - CHESTER If you're an ML or AI Engineer with a strong data science foundation who enjoys turning models into reliable, production-grade systems, this could be a standout opportunity. You'll be joining a growing organisation at a key moment … customer-facing AI products. With a strong product portfolio and a collaborative, fast-paced culture, the company offers a rare chance to shape core ML capability from the ground up, supported by experienced technical leadership and clear executive backing. THE ROLE: This is the first dedicated ML/AI Engineering ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

datasets. Responsibilities Working hands-on with macroeconomic and structural models, including those used for forecasting and policy simulation Applying large language models and machine learning to extract insights from economic and financial reports Analysing complex datasets to identify patterns and economic implications Supporting the development of new methodologies … Experience running macroeconomic models and preparing analytical outputs Skilled in working with large datasets and identifying economic trends Familiarity with large language models and machine learning techniques High proficiency in English Key Benefits Exposure to a wide range of macroeconomic topics and modelling techniques Opportunity to work alongside ...