1 to 25 of 230 Machine Learning Jobs in Oxfordshire

Join to apply for the Senior Machine Learning Engineer role at digiLab 2 days ago Be among the first 25 applicants Join to apply for the Senior Machine Learning Engineer role at digiLab Please note that only applications with cover letters will be considered. Summary: digiLab … with technical and non-technical stakeholders to translate business requirements into AI solutions that meet their needs. Ensure best practices in MLOps, AI/ML frameworks, and cloud-based deployment are followed throughout the development lifecycle. Contribute to the innovation and improvement of digiLab's proprietary AI platform, the Uncertainty … a strong background in developing and deploying models in real-world settings. Strong programming skills in Python, with hands-on experience in AI/ML frameworks and cloud-based deployment (e.g., AWS, Azure). Experience with MLOps practices and the ability to implement robust, scalable AI systems. Basic familiarity with More ❯

Join to apply for the Senior ML Operations Engineer (Viator) role at Viator 1 week ago Be among the first 25 applicants Join to apply for the Senior ML Operations Engineer (Viator) role at Viator Get AI-powered advice on this job and more exclusive features. About Viator Viator, a … scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine … as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by More ❯

in the office. *****Paying up to £30,000 basic***** IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & August Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools. An exciting AI company in … range of machine learning techniques suitable for various data shapes and types. Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement. Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets. Assist … Concept (PoC) projects by analysing data outputs and assessing model performance. Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences. Contribute to automation of data analysis workflows to streamline reporting and validation processes Graduate Machine Learning More ❯

scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine … as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by … ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices More ❯

scientists more productive and to enable broader and deeper utilization of machine learning techniques to help improve the business performance. As an ML Ops Engineer, you will play a pivotal role in our dynamic team, you will have the opportunity to learn many cutting edge technologies around Machine … as also push the boundaries, to test, develop and implement new ideas, technology and opportunities. Your primary responsibilities will include: Empowering Data Science and ML teams, by providing the tools and infrastructure necessary for seamless execution of data science and machine learning tasks. Support tech stack evolution, by … ensuring smooth deployment and operation of machine learning models. Foster a culture of innovation by generating and promoting new ideas within the ML Ops domain. Find creative solutions to complex problems, pushing the boundaries of what is possible. Touch code at every level - from the UI, backend microservices More ❯

Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning … to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant … field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks More ❯

Postdoc at Oxford: Machine Learning & Global Health Date: Jan 11, 2023 We are hiring a postdoctoral researcher to join my group in the Department of Computer Science at Oxford, working with the Machine Learning & Global Health network on machine learning applications for public policy … global health. This position is funded by EPSRC. For more details, see this link . The role involves leading research in computational statistics and machine learning, with the goal of making a tangible impact by collaborating with governments, NGOs, and international organizations. Recent publications from the group include … List of publications or specify if unavailable If you have any questions, please contact me directly or reach out to members of the Machine Learning & Global Health Network . More ❯

complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr More ❯

Research Software Engineer (Machine Learning) Department of Computer Science, Parks Road, Oxford. Full Time, Fixed-term contract until 1 April 2027 Grade 8: £45,585 - £54,395 p.a. with the potential to under-fill at Grade 7 with salaries in the range of £36,024 - £44,263 p.a. … Science and Biology and the successful post-holder will be working on the NERC funded Morphocam project. This project seeks to develop and release machine learning/AI tools to enable precise metrics measurements to be made on camera trap images of wild animals. As a Senior Research … build an efficient and user-friendly processing pipeline. You will need extensive experience in machine learning frameworks (e.g., PyTorch/TensorFlow) and ML-ops for scaling systems into production. You will be able to communicate well and work easily with domain users (e.g., field biologists) to understand their More ❯

role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, oxford district col-narrow-left Client: Stealth Startup Location: oxford district, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 5 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job … to impact operational planning within the sector. As a company handling heavy and critical data, we believe this is a perfect time for a Machine Learning Engineer to join our team. Who are we looking for? We are looking for a Machine Learning Engineer to enhance … to produtionize scalable NLP models using state-of-the-art techniques and frameworks Stay up-to-date with the latest advancements in NLP and machine learning, and apply new methodologies to improve existing models Deploy data science models on scalable AWS cloud infrastructures, ensuring best practices for security More ❯

Role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As … development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer More ❯

visual storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer … AI/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather … than management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an More ❯

Senior Data Scientist Do you have proven experience in machine learning and data analysis? Are you looking to develop your career within an exciting, multidisciplinary environmental company? We currently have an opportunity for a Senior Data Scientist within our growing Technology, Data and Software Development (TDSD) Team at … our Wallingford office to meet current business needs and future growth plans. With a background in data science and machine learning across various data types and applications, you will work within project teams across disciplines such as climate resilience, flood modelling, ecology, and heritage. Projects may include creating … communication skills Core skills: Postgraduate degree in Data Science, Mathematics, Computer Science, Physics, Engineering, or related field Post-qualification experience in data analysis and machine learning, preferably with geospatial data Experience with machine learning/deep learning techniques for various data types Project management experience More ❯

AI company is seeking a Principal Machine Learning Engineer to take on a technical leadership role, guiding the development of high-performance ML systems from research to real-world deployment. This is an ideal role for someone who has successfully moved from research into commercial ML applications and … is ready to lead a high-performing team and shape strategic direction. Join a mission-driven, technically elite team solving complex ML challenges in a collaborative, high-growth environment. You’ll work closely with leadership, contribute directly to company direction, and enjoy strong support for career progression. Key Responsibilities: Lead … and mentor a team of ML engineers and researchers. Drive innovation and translate research into deployable solutions. Communicate clearly with technical and non-technical stakeholders including executives, partners, and media. Oversee end-to-end model development, from data preprocessing to evaluation. Influence company strategy and technical direction. Essential Skills and More ❯

early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape … paced, high-performance environment. ? What You’ll Do Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. … Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking More ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

and execute sophisticated driving behaviours scalably across all of our customer domains using data-driven approaches. Your Role As our Senior Data Engineer (Reasoning ML), you will be responsible for creating and curating the datasets for training and evaluating our ML planner components. You will build effective data analysis tools … and work across ML model development and evaluation to achieve desired AV driving behaviours. You will also actively participate in operational support for your team, ensuring the root causes of operational issues are identified and resolved, and drive improvements to product quality, customer experience, and maintainability. You will: Take a … or a related field. 3+ years of professional experience developing behavioural machine learning technologies for autonomous vehicles or robotics. Experience with production ML pipelines: data creation and curation, training frameworks, evaluation pipelines. Fluency in Python and experience with data analysis libraries and packages. Proven record of leading and More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

Social network you want to login/join with: Data Science & Machine Learning – Elite Talent Wanted, oxford district col-narrow-left Client: Location: oxford district, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide … Job Description: Data Science & Machine Learning – Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems … , or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyse immune profiles Contribute to modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists … domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering, ideally in life sciences or health data Write clean, reproducible Python and it would great if you understand workflow tools like Kedro, Dagster, or … other orchestration platforms Have built and evaluated ML models for real-world use cases (especially classification or regression with limited samples) Are excited by biological complexity: You don’t need to be an immunologist, but you need to respect the nuance Think in systems: You naturally refactor, generalise, and leave More ❯