1 to 25 of 27 Permanent Machine Learning Jobs in Oxford

Oxford, including Prof. Brent Mittelstadt and Prof. Chris Russell, as well as other national and international stakeholders. Key areas of work include: Developing new ML and AI methods to address legal and social issues Studying societal impacts of generative AI and hallucinations in contexts like misinformation and human rights Advancing … Qualifications: Doctoral degree in machine learning or a related field (or near completion) Ability to review relevant academic literature, especially in ethical ML Excellent command of English (spoken and written) Strong writing, presentation, and analytical skills Research experience with publications appropriate to career stage Experience with ML frameworks … Interest in organizing academic events Desirable qualifications include experience with policy-making or knowledge exchange with stakeholders, and the ability to identify gaps between ML/AI use and ethical guidelines. What we offer: Opportunity to contribute to cutting-edge research on fairness, accountability, transparency, and public sector technology procurement More ❯

IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning … a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the Art The field … of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities More ❯

our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to … customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging services such as Lambda, S3 and … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into … Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning frameworks (e.g. … PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline. Strong communication skills and an ability to collaborate effectively with technical More ❯

using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into … Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning frameworks (e.g. … PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline. Strong communication skills and an ability to collaborate effectively with technical More ❯

, Experimentation, Martech, and Customer Service . Manage a team of Product Managers across multiple platform domains, ensuring alignment and collaboration across Product, Engineering, ML/AI, and Analytics. Drive a strategic vision for internal platforms, balancing long-term investments with immediate business needs. Build scalable, flexible, and high-impact … internal capabilities. Advocate for the importance of internal platforms , ensuring company-wide alignment on priorities and value. Stay ahead of industry trends in AI, ML, data, martech, and automation to continuously improve internal capabilities. What We're Looking For Required 12+ years of product management experience, including 5+ years in … leadership roles . Proven experience leading cross-functional teams building Data, ML, or Martech products. Strong technical understanding of data platforms and AI-driven products . Experience building platform products that serve internal teams across an organization. Deep appreciation for technical requirements for platforms such as performance, availability, resilience, and More ❯

latest advances in technology, paves the way for commercially viable fusion power plants. Our work in stellarator optimization, powered by cutting-edge computation and machine learning, is propelling us into uncharted territories of fusion technology. New higher performance design points are unlocked by high temperature superconducting magnets. We … to come. YOUR IMPACT Our stellarator design team is pushing the boundaries of today's technologies, directly integrating physics simulation with design engineering and machine learning workflows. We are building new tools and processes to drive fusion performance up and power plant costs down. As a Research Software … development best practices and tools, e.g. AI coding assistants or modern data pipelines and scheduling solutions. Enjoy diving into new problems with a continuous learning attitude, absorbing relevant domain knowledge. Additional experience with scientific C++ and Fortran libraries, HPC technologies, cloud computing, or web app development is a plus. More ❯

in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements Taktile is a hybrid … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements Taktile is a hybrid … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

Our client, an exciting Biotech start-up is seeking Senior Machine Learning Engineers for their latest product in AI Drug … Discovery. You must have experience in Biology, preference being within Drug Discovery. Requirements: Strong proficiency in Python Experience with LLM development Experience in deploying ML models at scale Understanding of NLP Proven track record in productionizing ML models Benefits: Salary up to £160,000 Equity/share scheme 3 days More ❯

Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. More ❯

The Details This position offers the opportunity to contribute directly to groundbreaking research projects that leverage advanced molecular biology, synthetic biology, and AI/ML-driven design methods. Our team closely collaborates with our internal Machine Learning and Biomolecule Synthesis groups, contributing to our integrated company-wide multidisciplinary More ❯

London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

Senior Postdoc in AI/ML with particular interest in DE&I 2024-06-12 Oxford We're looking for an exceptional junior researcher in AI/ML with strong interests in DE&I to fill this exceptional role funded by a generous donation from Google DeepMind. Deadline for application … Salary range £45,585-54,395 per annum (Grade 8) Duration: 3 years The appointee will be based at OxCSML (Oxford Computational Statistics and Machine Learning) group at the Department of Statistics. They will manage an independent research portfolio … and collaborate broadly across Oxford. In addition, they will lead and contribute to DE&I efforts in Oxford and across the broader AI/ML community. More ❯

and culture. An opportunity to contribute to cutting-edge research and design and prepare publications in areas such as fairness, accountability, and transparency in machine learning and AI, product liability, and/or public sector technology procurement Strong academic coaching and highly competitive salaries An inspiring scientific environment More ❯

/drones, including flight controllers, sensors, and payload integration. Background in aerospace, defence, or service industries (RAF, Navy, Army). Familiarity with AI/ML-based navigation technology, flight simulation software, or camera systems. Programming knowledge in Python and C++ Experience with standard troubleshooting tools and diagnostic equipment. What to More ❯

Based in Oxford, Plyable is an award-winning startup that specialises in using the latest AI and machine learning technology to automate the quoting, design and production of composite tooling. The demand for composites is surging, particularly in industries such as aerospace, electric vehicles and marine. Plyable is More ❯

of working with genomic data at a population scale, including the tools and technologies to manage sophisticated analyses. Experience of statistical and/or machine learning methods to make epidemiological inferences from genomic data. Experience of working with partner organisations, including academics, public health workers, and counterparts in More ❯

team, I am involved in building data access layers, business logic and user interfaces. This type of role allows me to apply data science, machine learning and modern software development practices, as well as a keen interest in genomic data analysis. Genomics has provided me with great opportunities More ❯

must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is offered as an More ❯

must be able to rapidly acquire skills in new programming languages, libraries and technologies. Any prior experience working with frontend/backend web development, machine learning, or high performance computing would be desirable, as would any experience designing or delivering training courses. This post is offered as an More ❯

Airflow, Jenkins, Bitbucket, and Bamboo pipelines. Technical Ownership : Act as a tech owner for software products, liaising with stakeholders and presenting cloud solutions. Continuous Learning : Stay updated with cloud and AI advancements, driving innovation and modern architecture solutions. Qualifications: Bachelor in Science or better in Computer Engineering or related … AWS Lambda, API Gateway, and event-driven architecture. Technical Ownership : Proven experience in architecting IT solutions, managing cloud infrastructure, and working with AI/ML applications (preferred but not required). US Citizenship required for this Position : No Performance Location : Oxford, UK Relocation Assistance : No Clearance Type : None Travel Required More ❯

and standards to secure clinical data both in-motion and at-rest. Shape Data Workflows: Utilize Databricks components like Delta Lake, Unity Catalog, and ML Flow to ensure efficient, secure, and reliable data workflows. Key Responsibilities Data Engineering with Databricks: Design and maintain scalable data infrastructure using Databricks. Integration with … lakes to support data analytics and machine learning. Requirements Expertise in Databricks: Proficiency with Databricks components such as Delta Lake, Unity Catalog, and ML Flow. Azure Data Factory Knowledge: Experience with Azure Data Factory for data orchestration. Clinical Data Security: Understanding of protocols and standards for securing clinical data. More ❯

join their dynamic Global Technology team. Their digital products support researchers, teachers, and learners across academic and educational institutions, including platforms for content, assessment, learning, research, and eCommerce. As an Application Architect, you will play a critical role in designing scalable and robust application solutions. You will work closely … scalable solutions. Nice-to-Have: Experience in digital publishing or educational technology sectors. Familiarity with DevOps, containerisation (Docker, Kubernetes). Exposure to AI and Machine Learning. Experience with UX/UI alignment and front-end usability. Ready to Apply More ❯

join their dynamic Global Technology team. Their digital products support researchers, teachers, and learners across academic and educational institutions, including platforms for content, assessment, learning, research, and eCommerce. As an Application Architect, you will play a critical role in designing scalable and robust application solutions. You will work closely … scalable solutions. Nice-to-Have: Experience in digital publishing or educational technology sectors. Familiarity with DevOps, containerisation (Docker, Kubernetes). Exposure to AI and Machine Learning. Experience with UX/UI alignment and front-end usability. Ready to Apply More ❯