51 to 75 of 85 Machine Learning Jobs in the North West

orchestration/agentic frameworks Familiarity with AI governance, risk management, and model validation frameworks Certifications Google Cloud Professional Architect (Mandatory/Preferred) Google Professional Machine Learning Engineer Certifications in Conversational AI platforms (Google CES, Dialogflow CX or equivalent) TOGAF/Enterprise Architecture certifications ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agent... CRWG1_UKTJ ...

mining business critical data flowing across the CEP and how to present data in usable management report format Experience delivering enterprise‐grade AI/ML‐powered contact centre features such as sentiment analysis, speech‐to‐text, or real‐time agent assist An understanding of emerging contact centre technology and next ...

including ingestion, lakehouse/warehouse, semantic models and analytics layers. Architect solutions using Azure and Microsoft Fabric, ensuring scalability and long-term maintainability. Integrate Machine Learning and AI capabilities into the wider data ecosystem to support predictive and generative use cases. Provide Technical Leadership & Delivery Assurance Produce roadmaps … experience architecting solutions on Azure and/or Microsoft Fabric (e.g., Lakehouse, Data Warehouse, Synapse, Data Factory, OneLake). Solid understanding of AI/ML solution patterns, including integration with modern data platforms. Proven ability to run workshops, lead design engagements and simplify complex concepts for diverse audiences. Strong consulting ...

platforms Familiarity with AI tools and modern development workflows Excellent communication skills Desirable Startup or scale-up experience Exposure to AI-powered products or machine learning Previous leadership, mentoring, or technical ownership responsibilities Package £80,000 - £110,000 salary Equity options Remote-first and flexible working Personal development ...

systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions click apply for full job details ...

SeniorAIEngineerManchester Agrowingtechnology-ledbusinessisseekinga SeniorAIEngineer toplayapivotalroleinshapinganddeliveringitsAIstrategy.Thisisasenior-level,hands-onpositionresponsiblefordesigning,building,anddeployingenterprise-gradeAIsolutionsthatdrivemeasurablebusinessvalueacrosstheorganisation. WorkingcloselywithIT,Data,Engineering,andseniorbusinessstakeholders,youwillleadthedevelopmentandimplementationofadvancedAIsolutions,leveragingLargeLanguageModels(LLMs),Retrieval-AugmentedGeneration(RAG),AIAgents,MachineLearning,andAzureAIservices.Youwillprovidetechnicalleadership,establishbestpractices,andhelpbuildtheorganisationslong-termAIcapability. ThebusinessisinvestingheavilyinAIandislookingforsomeonewhocancombinedeeptechnicalexpertisewithstrategicthinking,takingsolutionsfromconceptthroughtoproductiondeploymentandadoption. TheidealcandidatewillhaveastrongfoundationinAIEngineeringcombinedwitharobustDataSciencebackground,enablingthemtodevelop,evaluate,andoptimiseAIsolutionsthatdelivermeasurablebusinessoutcomes. ThisrolewouldsuitanexperiencedAIprofessionalwhoenjoyssolvingcomplexbusinesschallenges,mentoringothers,influencingtechnicaldirection,anddeliveringinnovativeAIsolutionsatscale. RolePurpose AsaSeniorAIEngineer,youwillleadthedesign,development,deployment,andoptimisationofenterpriseAIsolutions,ensuringtheyaresecure,scalable,maintainable,andalignedtobusinessobjectives. YouwillactasasubjectmatterexpertforAItechnologies,helpingtodefinearchitecture,establishstandards ...

contributions are valued with a focus on achievable improvements that get used every day. We’ll Count on You To: Design and build ML/AI solutions (classical ML + modern deep learning/LLM approaches) aligned to product outcomes. Demonstrate proficiency in full-stack technologies for enterprise-scale … Have: 7+ years of experience designing and developing distributed application architecture of moderate-to-high complexity. 5+ years in software engineering or applied ML building real-world AI/ML systems; strong Python proficiency and backend development expertise Hands-on experience building GenAI apps with LangChain and LangGraph, including agent ...

services or heavily regulated environments Cloud architecture and distributed systems Payments, lending, cards, pensions or capital markets technology Data protection and security architecture AI, machine learning or emerging technology strategy Stakeholder management at senior and executive level Architecture governance and operating models Composable architecture and Architecture as Code ...

innovation Manage the Innovation Portfolio Oversee a pipeline of initiatives from early-stage concepts through to scaled delivery Drive Digital & Data Transformation Leverage AI, machine learning, and advanced analytics to improve decision-making and operations Embed a Culture of Innovation Champion experimentation, continuous improvement, and cross-functional collaboration ...

beyond proof of concept into secure, production-grade deployment. The role: - Design AI and GenAI architecture strategies and roadmaps - Build scalable AI/ML and Agentic AI platforms - Work across LLMs, RAG, embeddings and semantic search - Support AI deployment, governance and integration patterns - Collaborate with engineering, data, DevOps and business … Vector databases MLOps/LLMOps AWS/Azure/GCP/Databricks Kubernetes & GPU infrastructure What you'll bring: - Experience designing enterprise AI or ML architectures - Strong grasp of cloud and modern data platforms - Exposure to scalable AI deployment and integration patterns - Financial Services or regulated industry experience (essential) - Strong ...

Solution Architects through to senior technical leadership. What you'll be doing Designing AI and GenAI architecture strategies and roadmaps Building scalable AI/ML and Agentic AI platforms Working across LLMs, RAG, embeddings and semantic search Supporting AI deployment, governance and integration patterns Collaborating with engineering, data, DevOps … frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms Exposure to scalable AI deployment and integration patterns Financial Services or regulated industry experience essential Strong ...

business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof … transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable ...

multinational organisations Familiarity with the design of operating models and organisational structures for data and AI functions Familiarity and understanding of AI/ML technologies, including generative AI, predictive analytics, NLP, data and Intelligent Automation Familiarity with AI governance frameworks, model risk management, and regulatory requirements Soft Skills Communication, storytelling … workshop design capabilities including ability to influence senior stakeholders Experience of interacting and collaborating with multi-disciplinary teams (data scientists, engineers, business strategists) Continuous learning mindset to stay ahead of rapidly evolving AI landscape and strategies for deployment Strategic thinking with ability to translate complex technical concepts into business ...

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that ...

fast, and motivated to turn new technology into practical enterprise value. What You’ll Help Build Technology Radar: Support horizon scanning across AI/ML, quantum, blockchain, knowledge graphs, AR/VR, and more. Help track signals, summarize trends, and contribute to written assessments and internal updates. Hot-Takes/… problem statements Qualifications 2–5 years experience in technology, engineering, data, or applied research roles (or equivalent experience) Hands-on exposure to AI/ML concepts and modern developer tooling; familiarity with cloud platforms (AWS/Azure/GCP) preferred Experience building small prototypes (e.g., Python, notebooks, APIs, lightweight apps ...

systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions. What Youll Do Design, build, and integrate AI applications into end-to-end workflows. Embed agentic … capabilities and translate them into practical, high-value implementations. What Were Looking For Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems. Hands-on experience with LLMs, AI services, or agentic AI frameworks. Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability. ...