1 to 25 of 84 Machine Learning Jobs in the North West

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

across the organization. The position will be based out of our London or Manchester office. Specific Emerging Technology team objectives are: Gen AI/ML technology implementation with business and product owners Emerging Tech Governance function covering policies, guidelines and processes to govern AI/ML enabled components as well … vendor evaluations and tool assessments for relevant use cases. Where appropriate, onboard the right solutions into the platform. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Develop and deploy machine learning ...

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

prioritisation, guide investment decisions and act as the senior authority for Machine Learning & AI capability across the business. Key Responsibilities Defining the ML & AI vision and strategy across the Cards business Leading production ML systems across recommendations, ranking, search and personalisation Driving measurable commercial outcomes including conversion, engagement … Shaping customer-facing AI capabilities including LLM-powered and generative experiences Setting technical direction across modelling, evaluation and ML lifecycle management Partnering closely with Product, Engineering and MLOps teams Improving scalability, observability and speed-to-production across ML systems Leading and developing a high-performing team of ML specialists ...

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 ...

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 ...

title: Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning pipelines ...

business stakeholders, you will lead the development and implementation of advanced AI solutions, leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Machine Learning, and Azure AI services. You will provide technical leadership, establish best practices, and help build the organisation’s long-term AI capability. … Engineering, Machine Learning Engineering, Applied AI, or Data Science roles. Expert-level Python development skills and deep experience with modern AI/ML frameworks and SDKs. Proven experience designing and deploying production-grade RAG solutions and LLM-powered applications. Strong experience building and deploying AI agents, orchestration frameworks ...

ensure consistent and reliable data collection. Cleanse, validate, and quality-check data to ensure accuracy and integrity. Support the development, refinement, and testing of machine learning models. Conduct practical validation activities to assess model accuracy and performance. Compare model outputs against real-world test results and recommend improvements. … collecting, analysing, and validating large data sets. Strong analytical and problem-solving skills. Knowledge of data cleansing, quality assurance, and validation techniques. Exposure to machine learning concepts and predictive modelling. Experience using tools such as Python, SQL, Power BI, Excel, or similar analytical platforms. An understanding of machine ...

Machine Learning Engineer - Defence ££60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

Machine Learning Engineer - Defence 60,000 - £90,000 GBP Hybrid WORKING Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

business outcomes. How You’ll Make an Impact: Develop and refine AI prototypes and interfaces, with mentorship from senior team members Explore and apply machine learning algorithms and data analytics in real-world scenarios Code, test, and debug AI prototypes to ensure robust and efficient performance Engage with … business workflows Exceptional communication skills with both technical and non-technical audiences A proactive approach to learning and professional development within AI/ML Ability to work effectively both independently and in a collaborative team environment Why Choose Fitch: Hybrid Work Environment: Hybrid work model: 3 days per week ...

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 ...

Product Specialist - Artificial Intelligence, Generative AI, LLM, Machine Learning Our global law firm client are actively looking to take on a new AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) to join them on a permanent basis. Our client have recently undergone a merger … from shaping the vision and client experience through execution and delivery. to be considered for this AI Product Specialist (Artificial Intelligence, Generative AI, LLM, Machine Learning) role, it's ideal that you have: 2 + Years in a similar role Ideal but not required law firm or professional ...

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 ...

this. Desirable Direct experience working with a longitudinal care record or linked dataset within an ICB footprint. Experience of data products that incorporate Machine Learning methods. Experience using primary care data in an analytical context. Experience using Patient-Level Information and Costing Systems (PLICS) to analyse cancer spend … conducting analysis with unstructured data, such as text (e.g. use of Natural Language Processing techniques) and image. Understanding of neural networks/'deep learning' and how these techniques could be applied in the Health and Social Care Domain. Developed knowledge of professional standards (including Code of Practice for Statistics ...

London. This is an excellent opportunity to work on complex, mission-critical programmes within the National Security sector, delivering innovative solutions across AI, machine learning, cyber security and geospatial intelligence. As a Senior Data Engineer, you will join a collaborative Agile environment, playing a key role in designing … processes. What's on Offer Opportunity to work on highly secure, cutting-edge programmes with real-world impact. Exposure to advanced technologies across AI, machine learning, cyber security and data engineering. Structured training and development support to help broaden your technical capabilities. Clear progression opportunities within a growing ...

covering communications, customer engagement and payment solutions. Lead the design, development and launch of innovative cloud-native products and services. Drive adoption of AI, machine learning and automation technologies across both products and internal development processes. Build, develop and optimise the Product Development function, ensuring capability aligns with … Strong knowledge of cloud-based communications, customer engagement or SaaS platforms. Experience delivering enterprise-scale software products and technology transformation programmes. Expertise in AI, machine learning, analytics and data-driven product development. Knowledge of secure payment technologies, compliance frameworks and cloud infrastructure. Strong understanding of Agile delivery methodologies ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...