12 of 12 Machine Learning Jobs in Warwickshire

strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for … up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role for … up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯

to machine learning pipelines, MLOps, or AI-driven data products ● Experience with big data platforms and technologies such as EMR, Databricks, Kafka, Spark ● Exposure to AI/ML concepts and collaboration with data science or AI teams. ● Experience integrating data solutions with AI/ML platforms or supporting AI-driven analytics More ❯

understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations and conversions. Ensure compliance with data governance, security, and privacy standards. Contribute to continuous improvement, automation and More ❯

with the CIO providing key recommendations in establishing scalable data foundations and enabling a basis for capitalising on emerging AI Technologies. Oversee deployment of advanced analytics tools, predictive analytics, machine learning and gen AI tech with the view of delivering actionable insights and enhancing products. Experience required: Bachelors in Computer Science, Data Science, Information Technology or related studies. More ❯

capabilities. Ideal Profile Large-scale systems integration or managed services environments. Designing or supporting BPO, helpdesk, or technical support services. Working with diverse technology stacks (.NET, Java, AI/ML, SaaS, Python). Experience with ServiceNow or similar service management tools. Strong communication skills – able to collaborate across international teams and translate business needs into viable technical solutions. The client More ❯

capabilities. Ideal Profile Large-scale systems integration or managed services environments. Designing or supporting BPO, helpdesk, or technical support services. Working with diverse technology stacks (.NET, Java, AI/ML, SaaS, Python). Experience with ServiceNow or similar service management tools. Strong communication skills – able to collaborate across international teams and translate business needs into viable technical solutions. The client More ❯

monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs … in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and 3 days from home. Our client offers a competitive salary More ❯

pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs … in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and 3 days from home. Our client offers a competitive salary More ❯

end solutions using modern development tools and platforms. The role offers the opportunity to work on impactful projects that span data visualisation, operational tooling, and integration with AI/ML workflows. The Role Design and develop full-stack applications using semantic data models and SDKs. Build and maintain data pipelines and backend services using modern ETL tools. Develop interactive dashboards … and operational tools using React and TypeScript. Integrate external APIs and services into application workflows. Collaborate with AI/ML teams to embed models into real-time operational systems. Ensure code quality, scalability, and maintainability through best practices. Support the development of standardised tools for data analysis and stakeholder reporting. Work with legacy and modern technologies to unify disparate data More ❯

and plan for it. Strong leadership skills - you know how to support, challenge, coach and grow a team. Confidence working with systems (PIM/PLM, Excel, ticketing tools) and learning new ones. A knack for spotting inefficiencies and improving processes. Great stakeholder management - you're comfortable working across teams and levels and thrive on … surprise and delight opportunities. A solid understanding of data compliance and governance. Experience balancing BAU and project work, with strong resource planning skills. A curious understanding of AI/ML and future proofing initiatives to remove need for humans to execute manual work. Let's be honest - no one applies for a job just for the mission. You want to More ❯