1 to 25 of 89 Machine Learning Jobs in the North West

thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing\n You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. \n You will: \n \n Lead end-to-end machine learning delivery , from problem definition … selected external partners working at the leading edge of AI \n \n \nWhat we're looking for\n This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. \n Essential experience: \n \n Proven experience operating at senior practitioner level ...

fine-tuning existing models or optimizing yesterday's algorithms. We're architecting the next generation: sophisticated agentic AI systems, intelligent automation that thinks, and ML capabilities that will redefine how credit analysis happens and how global financial markets consume insights. This is AI's moment at Fitch … moving decisively. We have executive sponsorship, significant investment, and we're establishing Toronto as our AI innovation center. As a Lead ML Engineer, you'll be a technical champion driving this transformation—building breakthrough ML systems that others will study, mentoring engineers who will become tomorrow's AI leaders ...

81149Category: AI/Machine Learning Software EngineeringLocation: London, United Kingdom; Manchester, Greater Manchester, United KingdomSchedule: Full time, DayPosted: 2026-09-07We're seeking a future team member for the role of Director …/Machine Learning Software Engineer to join our team. This role is located in Manchester or London. Role Summary: The AI/ML Software Engineering within the Enterprise Transformation Hub will help drive the acceleration of AI-enabled solution delivery across the ecosystem. This role is responsible ...

delivery tools. Experience across the data science lifecycle, including model development, deployment, monitoring and maintenance. Predictive or prescriptive analysis experience, including predictive modelling, machine learning or data mining. Ability to identify applications of machine learning to business problems and communicate findings clearly. Experience with cloud deployment … commercial development and tuning of machine learning models, API development, SQL, DevOps, MLOps or CI/CD would be useful. A relevant graduate or postgraduate qualification, or equivalent experience in a discipline such as engineering, mathematics, physics or statistics, is also welcomed. Key responsibilities:Data science lifecycle Apply ...

Intelligence function and acting as a trusted advisor to Directors, Executive stakeholders, and Board-level audiences. You'll lead teams spanning Insight, Data Science, Machine Learning, Governance, and Labour Market Intelligence while helping shape the future analytics strategy of the organisation. The role This position goes far beyond … responsible for: Leading multidisciplinary data and analytics teams Driving insight strategy across the organisation Developing data governance and quality frameworks Overseeing AI, machine learning, and advanced analytics initiatives Influencing business strategy through insight and evidence-led recommendations Building stronger relationships between technical teams and operational leadership This ...

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 ...

seeking a Staff Machine Learning Engineer with 8+ years of experience to lead the design and delivery of production AI/ML solutions across Fitch Group. You will set technical direction, lead complex initiatives, and collaborate with product squads, business partners, and cross-functional teams to integrate advanced … capabilities into flagship products and workflows. The AI Implementation Team focuses on: Implementing AI/ML technology in collaboration with business partners and product squads Developing and supporting enterprise-level AI exploration tools and capabilities Providing guidance for efficient and secure development and deployment of AI What We Offer ...

Opportunity A leading financial consultancy is seeking an experienced Senior Data Scientist to deliver AI, Machine Learning and Data Science solutions for major financial services clients. This is an excellent opportunity to lead technical delivery, shape AI strategy and work on cutting-edge technologies within a client-facing … environment. Key Responsibilities Deliver AI and machine learning solutions using modern data science techniques. Lead technical design and architecture discussions. Manage and mentor small teams of Data Scientists. Develop and deploy production-grade machine learning models. Engage with senior stakeholders and contribute to business development initiatives. ...

Data Scientist Liverpool (Hybrid) | Up to £55,000 Looking to apply advanced analytics and machine learning in a role where your work directly influences business decisions? This is an opportunity to join a well-established consumer-focused organisation investing heavily in its data capabilities. You'll work … Their analytics and technology teams play a key role in shaping strategy, improving customer outcomes, and driving operational performance. With continued investment in AI, machine learning, and cloud technologies, they offer an environment where innovation and collaboration are actively encouraged. The Role You will be responsible for: Collecting ...

data science, behavioural insights and digital technology to help organisations connect more effectively with the communities they serve. Their cloud-based SaaS platform combines machine learning, AI and sophisticated web technology to support hundreds of thousands of customer interactions every week across sectors including Social Housing, Local Government …/TypeScript frontend. While previous ColdFusion experience is not required, you'll need strong commercial experience with another server-side technology and be comfortable learning CFML. You'll work closely with Software Engineering, Data Science, DevOps, QA and Business Analysis teams to develop secure, reliable and scalable software. ...

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 ...

Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key role in shaping technical strategy, building production-grade AI systems and driving engineering best … practices across complex client engagements. Key Responsibilities Lead the design and delivery of AI, Machine Learning, Agentic AI and RAG-based solutions. Build and deploy production-grade models using Python, PyTorch and modern transformer architectures. Design scalable MLOps frameworks, CI/CD pipelines and model deployment strategies. Develop ...

design, develop and deploy AI-powered solutions that drive business value and improve operational efficiency. This role will focus on building and optimising machine learning models, generative AI applications, and intelligent automation solutions while working closely with technical and business stakeholders. The successful candidate will combine strong software … skills with practical experience in AI technologies, helping to shape and deliver the organisation's AI strategy. Key ResponsibilitiesDesign, build, and deploy AI and machine learning solutions in production environments. Develop and optimise Large Language Model (LLM) applications. Create AI-powered copilots, chatbots, knowledge management solutions, and workflow ...

client is a global financial services and investment company. Vice President, AI/Machine Learning Data Engineer Our culture allows us to run our company better and enables employees growth and success.As a leading global financial services company at the heart of the global financial system, we influence … following ways: Design and develop AI-powered solutions to solve complex enterprise data and analytics problems Translate ambiguous business problems into structured AI/ML approaches and algorithms Build scalable architectures for AI solutions, including model pipelines, data processing, and decision systems Collaborate with platform, data, and product teams ...

Description \n Machine Learning/ML Ops Engineer \n Outside IR35: £500 - 625 p/d \n Active SC Clearance Required \n 4 days a week into East London \n 6 months initial contract, long term programme \n The Role \n We're looking for a Senior MLOps … defence and security sector. \n This is a hands-on role, and you'll have real influence over the architecture of the ML platform. \n What you'll do \n \n Design and maintain ML training pipelines, including distributed training at scale \n Build experiment tracking, model registry and data ...

driven engineering practices, fostering a culture of continuous learning and experimentationPartner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standardsConduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality … fundamentally enhance how software is designed, built, tested, and deployedHands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelinesProficiency with Snowflake for data warehousing, analytics, and building scalable data platformsExperience designing and building event streaming architectures using technologies ...

maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R-based applications and data workflows within AWS Work with structured and unstructured data to identify … experience in data analysis or data science 1+ years' commercial experience developing in R using RStudio/Posit Strong working knowledge of statistics and machine learning Hands-on experience building or maintaining ETL/ELT data pipelines Practical experience working with AWS, ideally including S3 and a managed ...

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 ...

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 ...

Lead high-impact data science initiatives end-to-end, including problem framing, methodology selection, experiment development, implementation partnership, and impact measurement. Build and deliver machine learning and reinforcement learning solutions to improve player engagement, retention, monetization, and operational outcomes. Lead the modeling framework for complex systems, guaranteeing … related quantitative field, or equivalent experience in practice. Experience: 5+ years of professional data science experience. You have delivered at least 3 data or ML products from problem definition to production deployment and monitoring. Demonstrated proficiency in clustering, predictive modeling, reinforcement learning, and Bayesian statistics. Hands-on experience ...