1 to 25 of 67 Machine Learning Jobs in Oxford

level. You’ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across … future, and share in our success, we’d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. Maintain a meaningful individual contribution ...

ML Scientist (Metabolic Modelling) - Generative Biology Institute EIT - Ellison Institute of Technology Oxford, United Kingdom Your Role: At EIT we are seeking an experienced and detail orientated Bio-ML Scientist to develop AI and machine learning systems that drive GBI’s scientific aims, working alongside researchers and technical … multiple data modalities with a focus on biological system modelling and optimisation. This is an exceptional opportunity to join GBI’s Technology Hub on ML Engineering, a fast-growing team at the forefront of AI/ML and synthetic biology with access to exceptional facilities and expertise. We are looking ...

support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‐ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with … internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy‐sensitive, security‐conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising ...

support of the CODAS project and related R&D Lab initiatives. Contribute to the delivery of technical components for a sovereign AI ecosystem, including ML services, data processing pipelines, evaluation tooling and deployment‐ready applications. Support the translation of research outputs into robust, maintainable and operationally viable systems. Work with … internal colleagues and external project partners to understand technical requirements, constraints and delivery priorities. Help adapt AI and ML approaches to privacy‐sensitive, security‐conscious and regulated deployment contexts. Contribute to the integration of technical solutions into project infrastructure, workflows and partner environments. Troubleshoot technical, data and integration issues arising ...

side proves works and turn it into something dependable enough to run in a live, privacy-sensitive, multi-partner environment. You'll set the ML engineering and MLOps direction for your workstreams and act as technical lead on how research gets built, tested, and shipped. What you'll do Lead … ML engineering and MLOps direction for assigned CODAS workstreams. Design, build, test, and maintain the ML services, data pipelines, evaluation tooling, and deployment-ready applications that make up the programme's technical deliverables. Translate research outputs into systems that are actually robust and maintainable, not just proofs of concept. Adapt ...

Description The Data Scientist helps develop methods to accelerate and scale new and existing workflows, leveraging machine learning techniques for improved use of data across the company. They maintain the deep learning models behind much of Perspectum’s automated image analysis capabilities while also working closely with … Good oral and written communication skills Ability to work independently and as part of a team Good organisational skills Experience in artificial intelligence/machine learning/data science Experience in prototype coding (e.g. Python, MATLAB) Understanding of the importance of algorithmic validation Desirable Master’s degree ...

Software Engineer at Digital Scholarship at Oxford (DiSc). About you You will hold a relevant PhD/DPhil or have substantial experience of machine learning in a research or industry environment, and have the ability and willingness to combine machine learning research with sustained engagement … with historical and multilingual source material. You will have a strong understanding of deep learning and natural language processing, with practical experience of training, adapting and deploying large language models. You will also be able to process and transform historical, multilingual or otherwise non-standard textual data ...

independent LLM evaluators and calibrated against human clinicians. About You You will have or be close to the completion of PhD/DPhil in machine learning, computer science, computational neuroscience, mathematics, or a related quantitative discipline and possess sufficient specialist knowledge in the discipline to work within established … prompt-based, agentic or multi-agent approaches, using modern Python and LLM APIs. You will also have experience designing and analysing empirical evaluations of machine-learning systems, ideally including simulation-based methods, LLM-as-judge approaches, and validation of automated evaluations against human ratings. Experience with AI safety ...

term (36 months/3 years) About the Role The post holder is a member of the research team for the God and the Machine project, with responsibility for the technical aspects of the project’s experimental work with large language models and other AI tools. … Machine: Frontier Interactions between AI Science and Theology is a research project in the Ian Ramsey Centre for Science and Religion, Faculty of Theology and Religion, University of Oxford, funded by the John Templeton Foundation. The project develops a theological framework for understanding artificial intelligence as a mediating tool ...

future direction of the AutoLab AI platform. Essential knowledge, skills, and experience MSc, PhD, or equivalent industry experience in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related discipline. Hands-on experience with frontier foundation models, including autoregressive foundation models such as Large Language Models (LLMs), Vision … Language-Action (VLA) models, as well as embodied AI models and world models. Experience with continuous pre-training, post-training, supervised fine-tuning, reinforcement learning, and other foundation model optimisation techniques. Hands-on experience building end-to-end machine learning pipelines, including data curation, data mixing, model ...

algorithms for the analysis of genomic and transcriptomic data. Translate complex research questions into well‐defined analytical approaches and implementation milestones. Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data. Analyse and interpret large‐scale genomic and transcriptomic datasets … cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different biological questions. Demonstrated experience predicting complex traits and phenotypic outcomes from biological data. Proven ability to interpret complex research questions ...

devices collect sensor data, including audio and radar, and connect to our cloud infrastructure for remote management and data transfer. Signal-processing and machine-learning pipelines then transform this data into clinically useful measures such as cough counts, breathing rate and heart rate. Our technology is already deployed … senior, hands-on engineering role spanning a complex, multi-component system including cloud software and infrastructure, data-processing pipelines, signal-processing and machine-learning algorithms, connected devices and supporting applications. Our multidisciplinary platform requires more than simply executing predefined test cases. You will need to develop a deep ...

translate business needs into clear requirements for technical teams and communicate technical capabilities and constraints to non-technical stakeholders. An awareness of AI and machine learning concepts and a strong interest in developing knowledge of emerging AI technologies. The role does not require hands-on model development, data … face value. Strong collaboration and influencing skills, with the ability to drive clarity and progress without direct authority. Desirable Previous experience working on AI, machine learning, data or emerging technology initiatives. Experience within insurance or financial services. Experience working within research, innovation or R&D environments. Experience supporting ...

with Microsoft Azure or other cloud platforms (AWS, GCP). Experience with graph databases and graph‐based data modeling. Experience contributing to AI/ML‐enabled tools in a scientific or data‐driven environment. Experience mentoring others or acting as a technical lead or point of reference. Experience with C#. ...

Springboot, or Python and modern application development.* Experience with microservices, APIs, CI/CD, and Agile development.* Experience working with or integrating AI/ML services.LLM integrations, AI-powered API* Working knowledge of AWS cloud services and cloud‐native architectures* Financial services or asset management experience preferred* Bachelors/Masters ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … related field, or equivalent experience. Desired Skills Ability to write code or scripts (e.g., Python) to build automation directly. Experience building AI/ML‐powered or agentic applications, and with API integrations, CI/CD pipelines, or deploying production‐grade services. Technical background in systems administration, software engineering, cloud security ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection … Experience leading BEC investigations Conduct in‐depth digital forensic analysis of data extracted from cloud environments such as AWS, Microsoft Azure, and GCP Continuously learning and staying informed of the changing threat landscape Proven track record of successful neutralization and remediation of ransomware threats Excellent understanding of the Incident ...

Systems Administrator to join the Department of Engineering Science at the University of Oxford, working within the newly established The British Open-ended Learning and Discovery (BOLD) Lab, a major new UK Research and Innovation (UKRI) funded initiative that will establish a world-leading AI research laboratory … other job scheduling systems Experience with containerisation and virtualisation technologies Knowledge of cloud computing platforms Familiarity with scientific computing tools and AI/ML research workflows Experience supporting research software or academic computing environments Knowledge of high-performance file systems such as BeeGFS or Lustre The Department holds an Athena ...

Aioi R&D Lab – Oxford is seeking a Senior Machine Learning Engineer to translate research into robust, production‐ready ML services within a privacy‐sensitive, multi‐partner environment. You will set ML engineering and MLOps direction for CODAS workstreams and lead how research gets built, tested, and shipped. ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

gauge the validity of synthetic results; developing LLM-guided adaptive experimental designs to enable the implementation of optimal treatments on-the-fly; implementing representation learning and text-as-data pipelines, employing learned representations of complex data for downstream (econometric) models; working closely with team members (data scientists, software engineers … faculty) to adapt code used for data wrangling, machine learning, and optimisation to the specific needs of projects; and contributing to the workshops and conference programme through which the platform reaches the wider research community. The successful candidate will hold an advanced degree in Computer Science, Engineering, Statistics ...

Learning Engineers for hybrid, fixed-term roles through end of 2027, with potential permanence. You will design, deploy and operate privacy-focused ML systems within a multidisciplinary team, contributing to the CODAS project and related initiatives at AND-E Lab. Ideal candidates have 5+ years in ML/ ...

engineering standards. Your Responsibilities: Design and build robust services(APIs,CLI toolsand software modules)that power scientific applications and products. Bridge diverse components, integrating ML inference servers, hardware interfaces, and data pipelines into cohesive systems, while ensuring high availability and low latency. Own the full production path—from architectural design … implementing and deploying robust, scalable distributed systems in production. Demonstrated experience designing, managing, and orchestrating complex systems involving scalable data infrastructure, hardware interfaces, and machine learning models. Expertise in defining and exposing functionality via clean, well-documented APIs (e.g., REST, gRPC). Proven experience implementing and managing robust ...

hiring a Machine Learning Scientist to help build a privacy‐preserving generative AI ecosystem for regulated deployment. You’ll work on ML services, data pipelines and live deployments, collaborating with CODAS and partners to translate research into dependable, scalable systems. We value a strong ML research background, Python ...

data analysis and database engineering, including recruitment, objectives, performance and career development. Build a high-performing, connected data function by creating stretch opportunities, encouraging learning across disciplines and setting a culture of accountability, psychological safety and continuous improvement. Own and deliver the roadmap across the Databricks platform, analytics capability … data quality frameworks. Experience managing a multi-disciplinary team where the disciplines do not naturally talk to each other. Awareness of how AI and machine learning workloads change the demands placed on a data platform. What to expect next: 1st stage: Introduction call with a member ...