1 to 25 of 59 Permanent Machine Learning Jobs in Oxfordshire

mission is to make data 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 Learning Platform, 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 developing across our existing technology stack while contributing to our migration … and real-time model needs, 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, database, big data processing, operations More ❯

mission is to make data 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 Learning Platform, 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 developing across our existing technology stack while contributing to our migration … and real-time model needs, 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, database, big data processing, operations 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 and 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 ❯

Bioinformatician, non-model species, NGS pipelines, Python, Machine Learning, COR7292 My client, a cutting-edge start-up within the AgriTech space, is seeking a Bioinformatician with experience in designing and developing NGS pipelines for the analysis of non-model species to join their growing R&D team. This is an exceptional opportunity to work on breakthrough innovations that … datasets to identify key traits that can drive the development of high-performing, climate-resilient crops. You'll also have the opportunity to apply cutting-edge tools such as machine learning and AI and work collaboratively with experimental biologists to turn genomic insights into real-world agricultural impact. The Company This dynamic and well-funded Oxford University spin … experience Experience designing and developing NGS pipelines for the analysis of non-model species, if this has been within plants even better Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd More ❯

We are hiring for a Machine Learning Researcher to join its growing R&D function. This is a unique opportunity to apply cutting-edge machine learning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You'll collaborate with cross-functional teams to help … shape next-generation tools and approaches for analysing complex biological data. This Role Will Offer You: The chance to work at the forefront of scientific research and AI/ML innovation A highly collaborative, interdisciplinary team environment The opportunity to contribute to impactful projects in DNA/RNA/protein analysis A competitive salary and comprehensive benefits including performance bonuses … private healthcare, and a generous pension scheme A stunning campus location with landscaped surroundings and a strong mission-led culture Your Responsibilities: Develop and apply machine learning models to advance molecular sensing and biomolecule modelling Collaborate closely with scientists and engineers to drive innovation across sequencing technologies Create and optimise tools tailored to nanopore and bioinformatics applications Present More ❯

resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. We are looking to recruita Research Scientist with expertise in large-scale machine learning. In this role you will design, train, and evaluate advanced machine learning models to support scientific and technological progress across multiple fields Key Responsibilities: Lead significant … results through internal presentations and external publications, as applicable. Maintain high standards of code quality, reproducibility, and team collaboration practices. Qualifications & Experience: PhD or equivalent experience in Computer Science, Machine Learning, or a related discipline. Proven experience in designing and implementing large … scale machine learning systems, including aspects of model training, finetuning, data management, and distributed computing. A record of publications or patents in the field of AI/ML or related areas. Experience in project leadership and mentoring junior team members. Excellent communication skills and the ability to solve complex problems efficiently. Terms of Appointment: You must have the More ❯

on-road and off-road applications, utilising state-of-the-art robotics and AI algorithms. You will collaborate extensively across the company, working closely with other Planning teams (like Machine Learning and Trajectory Planning), upstream teams (such as Perception), and various other groups in a highly cross-functional environment. Your Team You will join our Planning Team, where … architecture and strategic direction of your team, and overall shape the development of the Oxa Driver. Promote a cross-functional development style and closely collaborate with routing, trajectory planning, machine learning, and other teams to achieve human-like, predictable, and safe AV driving behaviors. Drive the adoption of engineering and software development best practices in your team. Create … development skills, including modern C++ algorithm development and deployment in a production environment. Deep understanding of modern software engineering practices, including automated testing and CI. Understanding of AI/ML techniques for decision making and/or motion planning in the AV space. Extra kudos: A customer-obsessed mindset. We value people who relentlessly try to anticipate and prioritise the More ❯

and commercials, and are a crucial measurement tool for biomechanics, robotics, and cutting-edge science. Vicon is a subsidiary of Oxford Metrics Plc. We are looking for an excellent ML Ops Engineer to join our research and development team in Oxford, England. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in … building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model training infrastructure (SW and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops … systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many More ❯

General Theory for Big Bayes" and Grenoble IDEX. 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 provides 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 … for their many parameters to be accurately estimated. Bayesian statistics offers a theoretically well-grounded framework to reason about uncertainty, and it is one of the cornerstones of modern machine learning. At the same time, the theory at the basis of deep neural networks is not yet very well understood and its grounds must be laid out. Although the More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that’s pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that's pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You are fluent in Spanish and … Taktile is based in Berlin, 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 Harvard, Oxford, and Stanford and More ❯

Solution Engineer, Implementation Specialist or an equivalent position within a B2B SaaS company. You have experience in building AI applications. You have experience in applying and optimizing statistical and machine learning models to solve business problems. You have experience with at least one of the major cloud platforms (AWS, Azure, GCP). You are fluent in Spanish and … Taktile is based in Berlin, 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 Harvard, Oxford, and Stanford and More ❯

day. Taktile is based in Berlin and New York City. Taktile 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 Harvard, Oxford, and Stanford and … Taktile is based in Berlin, 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 Harvard, Oxford, and Stanford and More ❯

performance system that tackles a fascinating range of technical challenges. From massive-scale data handling with caching and persistence requirements to interprocess communication, low-level networking, or integration of machine learning workloads on GPUs, the system touches on almost every aspect of modern software engineering. A heavily multi-threaded runtime adds another layer of depth for those who … make in advance of commencing the interview process with us. Learn more about our culture here Why become an Oxbot? Our team of engineers, mathematicians and experts in AI, machine learning and much else is truly world-class. They are solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have More ❯

track record of high-quality publications. - Collaboration & Communication : Strong interpersonal skills with the ability to communicate effectively and work with people from diverse technical and non-technical backgrounds. - Innovation & Learning : Eagerness to explore and learn new technologies, initiate collaborations, and contribute … to successful proposals or funding bids. - Robotic manufacturing processes (e.g., laser cleaning, cutting, additive manufacturing, surface preparation, inspection). - Radiation hardening or radiation-tolerant electronics. - Machine learning (ML), artificial intelligence (AI), or digital infrastructure. - Mechanical systems, including sensing, non-destructive testing, and actuation mechanisms. - Dynamic modelling and systems identification. - Control theory and intelligent control systems for manipulation or More ❯

focus, the Senior Software Engineer/Python Developer will use their knowledge acrossPython, cloud technologies (AWS), databases, Kubernetes, Terraformandmicroservice architecture to design and buildkeyplatforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data. The Company The Senior Software Engineerwill join an innovative Machine Learning MedTech company with offices in both … working in other regulated industries that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don't meet all of the More ❯

time series analysis and develop platform and environmental noise compensation techniques that enable high quality magnetic- and gravity-aided navigation using state-of-the-art digital signal processing and machine learning methods; Use data analytics to translate quantum sensor data streams into capabilities that solve pressing challenges for current and prospective end-users and customers; Work closely with … magnetic signature and/or platform motional characterisation and management; magnetic and/or vibrational signal denoising; quantum sensing and/or other sensing technologies. Knowledge and experience of machine learning methods to time series data including generative modelling. Contributing to a software system architecture with multiple components developed by different teams, adhering to best-practice software development More ❯

the team and will use their knowledge across Python, cloud technologies (AWS), databases, Kubernetes, Terraform and microservice architecture to design and build key platforms for the business, that utilise Machine Learning and AI to analyse complex medical imaging data, whilst mentoring and leading more jnuior Developers. The Company The Lead Developer will join an innovative Machine Learning … working in other regulated industries that require documentation would be applicable Experience of developing applications that process complex data such as imaging or video, especially those that have an ML or AI component would be highly beneficial The list above is important, but not as important as hiring the right person! So if you don't meet all of the More ❯

and the latest advances in technology, paves the way for commercially viable fusion power plants. What's more, 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. To fully grasp this huge opportunity … Europe when you assemble the best talent. 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 Engineer, you will join our … to date with current 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. INTERVIEW PROCESS Recruiter Interview More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

We are looking for an excellent ML Ops Engineer to join our research and development team. Key Responsibilities This opportunity is to join the ML Operations teams which supports the ML Development team in building leading-edge motion capture products through provisioning and maintaining a modern ML Operations stack. This stack covers data acquisition pipelines, data management and ML model … and on-prem HW). We use both on-prem, self-managed systems and also leverage AWS infrastructure. You will have opportunities to guide the technical direction of the ML Ops team, suggest new areas of development and the potential to lead your own project. Required Skills, Knowledge and Expertise You will have relevant academic (research Masters level) and/… systems, e.g. MLflow Good programming ability in Python with familiarity with Linux systems including scripting and system configuration. Experience using AWS, e.g, Cognito, S3, EC2, Lamdas, etc. Experience with ML toolkits, e.g. PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many More ❯

advance of commencing the interview process with us. Learn more about our culture here . Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they're solving the most exciting and important technological challenges of our times. But as well as smarts, Oxbots have heart. Our More ❯

as SEM/AFM or other). Experience working with metrology tools in a regulated environment. Experience of use of Artificial Intelligence/Machine Learning (AI/ML) Experience with version control and testing. Focus on the company goal, avoid distraction, making timely decisions to achieve the target. Education/Qualifications: Bachelor's degree or higher in relevant More ❯

Oxford, but we have many flexible and partially remote options. About Us 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 tooling and parts for composite (carbon fibre) manufacturing. The demand for composites is surging, particularly in industries such … this, but would not be a part of the role unless desired) Our Culture We are a new player in a traditional manufacturing industry and the team is constantly learning and willing to question the status-quo. We take quality code very seriously. We work in small intelligent teams. We have developer freedom, meaning we have a common goal More ❯