101 to 125 of 145 Machine Learning Jobs in the North West

both pure and applied mathematics. Research experience in advanced mathematical disciplines. Experience teaching or mentoring undergraduate, graduate, or doctoral-level students. Familiarity with AI, machine learning, mathematical data annotation, or AI model evaluation. Experience working with interdisciplinary or distributed academic teams. Demonstrated ability to provide constructive feedback ...

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 ...

data accuracy, governance, and delivering insight that influences practical business decisions. Desirable Background: Exposure to broader Azure Data Services, Qlik, Cognos TM1, or machine learning/AI forecasting is a bonus. Who You Are A Collaborative Business Partner: Comfortable operating as the connector between technical teams and operational ...

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. 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 ...

improvement, knowledge retrieval efficiency, and scientist adoption, and communicate vision and progress to senior stakeholders. Essential Skills/Experience Strong understanding of Generative AI, machine learning, scientific informatics, automation, and digital technologies Experience leading multidisciplinary teams and influencing senior stakeholders across complexorganisations Proven ability toleadorganisationaltransformation and technology adoption ...

National Security, collaborating with data scientists, engineers and consultants to deliver datadriven decisions from diverse datasets. You’ll work on analytics, AI/ML workloads and actionable intelligence, with DevSecOps practices and opportunities to influence architecture and delivery across complex projects. #J-18808-Ljbffr ...

Strong security risk assessment and remediation experience. Ability to communicate effectively with technical teams and senior stakeholders. Desirable Security architecture experience supporting AI/ML platforms and services. Securing AI workloads, data platforms and AI data pipelines. AWS and Azure AI services. Cisco enterprise security technologies. Zero Trust architecture ...

Strong security risk assessment and remediation experience. Ability to communicate effectively with technical teams and senior stakeholders. Desirable Security architecture experience supporting AI/ML platforms and services. Securing AI workloads, data platforms and AI data pipelines. AWS and Azure AI services. Cisco enterprise security technologies. Zero Trust architecture ...

party integrations, APIs and external systems . Strong knowledge of automated testing and robust test frameworks . Experience working with or embedding AI/ML capabilities into software products or platforms. Strong understanding of software architecture, scalability, reliability and performance. Comfortable working in complex, fast-paced technology environments. Strong communication ...

consumer goods Familiarity with Dataform, dbt or equivalent transformation frameworks Experience with data cataloguing or governance tooling (Collibra, Alation, DataHub or equivalent) Exposure to ML/AI platform requirements — understanding what good data foundations look like to enable data science and personalisation What’s in it for me? Access bespoke ...

seeking an AI Security Engineering Lead to design and deliver secure engineering patterns, controls, and tooling for our AI/ML systems. This hands-on technical leadership role combines coding, automation, and platform design with mentoring across cross-functional teams. You will champion secure architectures, embed DevSecOps practices, and guide ...

into real, scalable business impact. This is not a research role; it’s about turning AI into real‐world value. You’ll consolidate existing ML and AI Ops teams under one function, shaping how the organisation delivers, governs, and scales AI, including generative and agentic technologies, end‐to‐end. Skills ...

Head of Data Science to lead a growing team of 6+ scientists. This role involves setting the technical direction and driving the transition towards machine … learning engineering, aligning with company-wide objectives. The ideal candidate will have proven leadership experience and a strong background in building and deploying ML models at scale. This is a fantastic opportunity to shape the data science strategy and support career growth within the team. #J-18808-Ljbffr ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. About the role and team AI platforms are still mostly run like … alerting on. Incident management: Calm, methodical instincts under pressure, and a habit of fixing the class of problem rather than the instance. AI and ML operations: Experience operating model serving, LLM inference or MLOps pipelines in production is a strong plus. Familiarity with model APIs, vector databases, MCP or orchestration ...

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 ...

with agentic AI for operations—incident triage, runbooks, and change management—with clear guardrails, auditability, and human-in-the-loop controls. Supporting AI/ML workloads at scale: SageMaker endpoints, GPU node groups, autoscaling, and Kubernetes-based model serving. Policy-as-code (OPA) and compliance implementation across CIS, NIST … Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing ...

just a few years. 35 days leave (including bank holidays). Private medical insurance. Enhanced parental and adoption leave. 40 hours of paid learning and development. Join us on our journey. Let’s create tomorrow, together, today. At CreateFuture, the Senior Cloud Engineer is a vital individual contributor … Azure AZ-104). At least 1 professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

legacy ways of working where appropriate. Capability & Leadership Support Mentoring: Support and mentor engineers within CreateFuture and our client teams, helping them navigate their learning and technical skill gaps. Community Contribution: Actively engage in the internal engineering communities, helping to build out an internal repository of reference architectures, Infrastructure … Azure AZ-104). At least one professional-level certification. Progressing toward or holding multiple professional certifications such as CKA (Certified Kubernetes Administrator), AWS ML Engineer Associate, or FinOps Certified Practitioner. What we’ll offer you: We trust people to do their best work. That means flexibility over rigid rules ...

hand of the CDAO. This is a pure project management role — you will act as the primary facilitator across a Data Engineering, AI/ML, BI, and Investment Pricing teams, translating high-level organisational ambition into structured, deliverable plans. This is not a coordination role. You will own delivery, challenge … business, data, or technology-related discipline is desirable. Technical acumen — sufficient familiarity with the data stack (SQL, Power BI, Databricks, AI/ML workflows) to manage technical teams effectively and ask the right questions. Outstanding communication skills — engaging and credible with both technical engineers and senior commercial stakeholders. Proficient ...

Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling. Strong hands-on experience with AI Development tools like Claude CLI, Windsurf Solid understanding of the ML lifecycle; exposure ...