10 of 10 Remote/Hybrid Azure Machine Learning Jobs in the North West

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. Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1 billion. Most of Markerstudy's business ...

role where you can make a difference, we’d love to hear from you. We’re on the hunt for a Lead Machine Learning & AI Engineer to join our Data & Analytics function on a 10-month fixed term contract, where you’ll play a pivotal role … implementing and continuously improving the machine learning and AI operations frameworks that bring innovative solutions to life across our organisation. You’ll design and deliver new tools, components of the framework and engineering practices that turn cutting‐edge models into high‐performing, production‐ready systems. ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection … feature stores and data pipelines Stay current with latest ML research and evaluate applicability to client projects Requirements 5+ years of experience in machine learning engineering or applied ML research Strong proficiency in Python, PyTorch or TensorFlow, and Scikit-learn Experience deploying ML models at scale ...

will be responsible for building and maintaining the backend systems and web applications that support the development, testing, deployment, and scaling of our Machine Learning and LLM‐based tools, and for helping to transform these into robust, market‐ready products. We have ambitious plans to grow … negligence, and with a growing practice in family and private client. Fletchers was one of the first consumer law firms to deploy a machine learning tool for legal work (a decision support system for screening incoming cases, launched ...

About the Senior Data Scientist Role The Senior Data Scientist is a hands-on technical role responsible for designing, building, and shipping the machine learning models that drive commercial performance across the group. This role takes business problems through the full lifecycle - framing the problem, exploring … decisions, and helps raise the standard of how the team works. What You’ll Do Build & Deliver Impactful Solution Design, build, and ship machine learning models that address real commercial problems, taking ownership of the work frominitialframing through to a validated solution in production. Work closely ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems. This is a hands‐on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid ...

experienced AI Security Engineering Lead to design and deliver the secure engineering patterns, controls, and tooling that protect our AI and machine learning systems. This is a hands-on technical leadership role, where you will take ownership of complex problem spaces and lead through engineering expertise. … Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow, Kubeflow, or equivalent managed platforms (e.g. Vertex AI, Azure ML). Solid ...

design. All underpinned by technology created with purpose. We’re seeking a AI engineer who can design, build, and operationalise advanced AI, Machine Learning, and Generative AI systems at enterprise scale. The focus of this role is to bridge the gap between AI prototypes and embedding … suitable cloud services across hyperscalars Architecting and implementing Generative AI solutions, including RAG pipelines, agentic workflows, and orchestration of large language models across Azure, GCP, or AWS. Embedding safety, evaluation, and assurance mechanisms across the AI lifecycle, ensuring solutions are ethical, explainable, and responsible. Translating business ...

work model, collaborating with engineering and product teams to embed security early in design. The team emphasizes governance, threat modelling, cloud security across Azure/GCP, AI/ML security, #J-18808-Ljbffr ...

engineering experience - for example, working with IaC, Terraform, or similar tooling. Role: * Contribute to the design and delivery of robust, automated, and scalable Azure and Snowflake data platform components. * Develop and maintain infrastructure-as-code using Terraform, ensuring consistency and reusability across environments. * Build and optimise …/CD pipelines using Azure DevOps and GitHub Actions to support rapid, reliable deployments. * Implement observability practices including logging, metrics, and alerting using observability tools. * Collaborate with the Lead Engineer and Architects to align implementation with platform standards and patterns. * Provide technical guidance and mentorship ...