13 of 13 Remote/Hybrid Machine Learning Jobs in West Yorkshire

expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation … Offer Train, evaluate and deploy agentic AI systems and computer vision models for real-world use Collaborate with product and engineering to integrate ML systems into user-facing features Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines Stay up-to-date with ...

/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. ...

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

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 ...

direct business impact. Technical Leadership: Influence our technical stack and help define the engineering culture of a rapidly scaling startup. Requirements Technical Depth: Extensive ML engineering experience with a deep understanding of LLM architecture, training and fine-tuning (you don't just call APIs). You know … memory and tool-calling in production. Engineering Mindset: Ability to write clean, testable Python and familiarity with modern MLOps stacks. Product Experience: Experience shipping ML systems in production for real users, with an experimental mindset and high bar for AI ethics. Why Join Wilgot? Practical AI at Scale: Solve real ...

APIs, files). Leverage the AWS environment, including S3, IAM, and various data services. Prepare data for Data Science teams and integrate AI/ML models into production. Ensure data quality, security, and governance. Provide input on data architecture. Qualifications 5+ years of experience in data engineering, including significant experience … Strong knowledge of data and cloud services including S3, IAM, Glue, and Lambda. Languages: Advanced SQL and Python for data manipulation, automation, and ML integration. Data Engineering: Proven experience in ETL/ELT pipeline design. AI/ML Integration: Ability to prepare data for model training and deploy AI models ...

delivering cutting-edge AI solutions. You'll shape architecture, engineering standards, and delivery outcomes across high-impact projects while working with modern AI/ML tooling, cloud technologies, and scalable engineering practices. Technical Lead - AI Responsibilities Lead AI-focused architecture, design, and engineering delivery across client engagements. Oversee … implementation of AI/ML solutions, from concept through to production. Act as the senior engineering authority, ensuring high-quality outputs across wider teams. Establish best-practice engineering ecosystems, including CI/CD pipelines, automation, developer tooling and QA methodologies. Maintain expertise across modern tech stacks, cloud platforms and industry ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras … with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with LLM frameworks (e.g. LangChain) Familiar with Spark/Kafka and End-to-end pipeline experience Databricks, MLflow, Docker, Kubernetes Clear communication with ...

.NET Developer - Leeds (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, Architect, .NET Developer)In just over 5 ...

live data is captured, processed, and delivered. As SVP, AI and Computer Vision, you'll: Lead global strategy and execution across computer vision, ML, and data engineering. Scale world-class engineering and research teams across multiple regions. Oversee the design, optimization, and deployment of real-time tracking and visual intelligence … requirements: Proven background leading large computer vision or real-time data engineering teams. Expertise in object tracking, image/video processing, or large-scale ML deployment. Strong technical leadership and cross-functional delivery at global scale. Experience turning advanced R&D into production-grade systems. This is a high-visibility ...