19 of 19 Permanent Machine Learning Jobs in Oxford

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Role Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. Youll work at the cutting edge … driven networking and space systems, collaborating with engineers, researchers, and customers globally. Key Responsibilities Research and develop state-of-the-art ML algorithms for network orchestration Build and manage ML training infrastructure using Kubernetes and MLOps tools Develop and maintain documentation for new algorithms and systems Integrate AI/ML ...

Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks ...

recruiting an excellent opportunity for someone who wants to combine an interest in advanced manufacturing with top notch data modelling and machine learning skills. Our client is seeking an intelligent Data Modelling Engineer to develop statistical models for predicting variation in Additive Manufacturing, working closely with process, materials … communication skills to ensure the value of their work reaches the wider business. The ideal Data Modelling Engineer will have experience with data management, machine learning and/or statistical modelling, with a key advantage being previous experience in probabilistic programming, time-series forecasting within metallurgy or Additive ...

overall performance metrics Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards Build robust and real … Required - Great velocity for building and shipping agents/AI products. Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies Optional - Demonstrated ability to do independent research ...

with our patients, colleagues and the wider community. We call this Delivering Compassionate Excellence, and its focus is on our values of compassion, respect, learning, delivery, improvement and excellence. These values put patients at the heart of what we do and underpin the quality healthcare we would like … Analytics in Critical Care: Training in handling and analysing largedatasets from electronic health records (EHR) and bedside monitoringdevices to support evidence-based decision-making. Machine learning and AI in the diagnosis and management of respiratory failure. Fellows will participate in clinical research projects involving AI-driven diagnostic ...

build will directly support research programmes contributing to novel treatments entering clinical trials. You will play a key role in making sophisticated AI and ML capabilities accessible to scientists working on high impact challenges. The Environment You will join a collaborative and technically strong team at the intersection ...

research into production pipelines Help set technical direction and best practices for AI-driven interaction work Required experience Strong experience working with AI/machine learning systems (research and/or applied) Deep experience in one or more of the following: Human motion generation … Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI Strong proficiency in Python and modern ML frameworks (e.g. PyTorch) Proven ability to translate research ideas into working systems Track record of technical ownership and independent problem-solving Creative, research-driven mindset ...

owning large technical projects. Nice to Have Experience with full‐stack development (Vue3, Typescript, Django). Knowledge of AWS , especially EKS deployments. Exposure to machine learning or agentic AI pipelines . Basic familiarity with mechanical design concepts, FEA/CFD, or turbomachinery. ...

opportunity to develop novel computational methods with real clinical and public health impact A role at the intersection of genomics, AI/ML, and scalable cloud infrastructure Close collaboration with computational scientists, engineers, and experimental teams Ownership of method development from research through to product integration A highly interdisciplinary, innovation … Responsibilities Design and evaluate new computational approaches for genome assembly, binning, and functional characterisation from metagenomic sequencing data Apply advanced statistical and AI/ML techniques to large-scale microbial datasets Implement methods into scalable, reproducible, and modular workflows in collaboration with engineering teams Benchmark approaches using public and internal ...

talented individuals. Exposure to working with fortune 500 companies and innovative market disruptors. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

with real-time communication protocols (EtherCAT, CAN, Modbus) or PLCs. Strong Mechatronics understanding Exposure to simulation and validation tools for robotic systems. Knowledge of Machine Learning principles for perception or control. Offices and Lab located in Oxford. Hybrid working c.3 days in office Salary ...

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. 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 ...

dependencies across multiple domains Managing governance, risk, budget and stakeholder engagement at senior level What we’re looking for: Proven experience delivering complex AI, ML or platform programmes Strong stakeholder management skills, comfortable operating at executive level Solid background in Agile or scaled delivery environments Commercial mindset with a focus ...

expertise, we are transforming how people discover products online. Our team consists of driven professionals and skilled engineers solving real-world search challenges using machine learning, algorithmic problem-solving, and robust infrastructure engineering. We've enabled global e-commerce brands to drive higher conversions, better product discovery ...

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading ...