10 of 10 Remote/Hybrid Machine Learning Jobs in Woking

/ML Engineer (Generative AI/LLMs) Location: Fully Remote (UK-based) The Role We're hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering … semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

Build and optimise data platforms and ETL/ELT pipelines supporting analytics and AI‐driven applications. Prepare and structure data for dashboards, reporting, and machine learning solutions. Collaborate with consultants, data scientists, and project teams to deliver reliable and scalable systems. Manage CI/CD deployments and version … Desirable: Experience with WordPress/PHP or Streamlit for rapid web applications. Familiarity with dbt, Power BI, or similar data analytics tools. Understanding of machine learning, AI integration, and vector databases. Interest in UI design or Agile project delivery. Additional language proficiency is a plus. Why Join This ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

experience beneficial but not essential. Proven experience in VoIP, SIP, or telephony-based application development Experience in AI or automation frameworks (chatbots, NLP, or machine learning integrations) highly desirable. Excellent people leadership skills with the ability to motivate, mentor, and grow high-performing teams. Strong grasp of system ...

direct impact on the business, working closely with the founders and leadership team. What You'll Do: Design, build, and deploy AI/ML models powering the core platform. Create scalable AI infrastructure, data pipelines, and deployment workflows. Collaborate with product and engineering to turn business problems into AI solutions. … Experiment with the latest AI techniques to innovate and deliver real-world impact. Mentor future AI/ML hires as the team grows. What We're Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python and frameworks such ...

with rapid commercial traction across top UK & US firms, they are scaling fast and this is the time to join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers … roadmap for intelligent systems and ensuring scalability, compliance, and robustness. Requirements Strong programming experience with Python. Proven track record building production-grade AI/ML systems (emphasis on implementation and integration over pure research). Practical experience with AWS (and ideally Terraform, GitLab CI). Experience with agentic systems ...

solutions that support decision-making across Defence, Government and Public Sector clients. You'll join a people-first, innovation-driven culture where collaboration, continuous learning, and professional growth are encouraged. Every idea matters. You'll help set technical standards, influence project direction, and contribute to a data engineering community … public-sector data programmes. Familiarity with data standards, compliance, and data-governance frameworks. Experience in data analytics and visualisation. Demonstrable interest in ongoing learning, research, and adopting new technologies. Benefits: Competitive total compensation package ( TC ) Opportunity to support high-impact Defence and Public-Sector programmes Professional development and training ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Woking (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer ...

performance. Research emerging data technologies and industry best practices; recommend and drive modernisation of data platforms, especially in big data, cloud, AI/ML-ready environments. Design and implement robust data models, frameworks, standards, and architectural artefacts to support enterprise-wide data initiatives. Collaborate with engineering, analytics, and business teams … data domains. Document data architecture artefacts, maintain the enterprise architecture repository, and support long-term architecture governance. Advise on future technology adoption - including AI, ML, automation, or advanced analytics - to keep data ecosystems future-proof. Key Requirements: Proven experience as a Data Architect in complex, secure or regulated environments (e.g. ...