20 of 20 Machine Learning Jobs in Oxford

in the UK, 1 in Japan, and 1 in Seattle to build the future of advanced metal components. To do this it uses proprietary software packages which combine advanced machine learning and physical modelling to invent better alloys, devise better ways to process them, and design better 3D-printed components. Responsibilities Design, develop and validate novel machine learning models to optimize manufacturing processes and material composition Collaborate closely with process engineers, material scientists and other domain experts to identify and engineer the most meaningful features Develop Alloyed’s machine learning platforms to facilitate adoption and application of validated models Work as part of a fast-paced, agile development team Identify and prioritize opportunities … practices and model governance Essential Skills Bachelor’s degree in science, engineering, mathematics or computer science (2:1 minimum) Strong python development skills Practical experience in the development of machine learning models and/or deep learning to solve complex science and engineering problems Experience with MLOps tools and practices, including Airflow, MLflow, and containerization (e.g., Docker More ❯

eager to contribute technical expertise and take ownership in a fast-moving environment with strong potential for growth. You’ll play a key role in ensuring their AI/ML products are robust and ready for deployment. (This role requires you to work on-site at the client company's Oxford office 2 days per week) Key responsibilities Deliver high … quality, well-tested features that directly impact early detection and treatment of lung cancer Collaborate with ML scientists and engineering teams to deploy models to production Research and introduce new technologies to maintain competitive edge Participate in Agile processes, including planning and standups Support and enhance cloud and CI/CD infrastructure. Troubleshoot and resolve production challenges Ideal candidate 3yrs+ … experience in computer vision, machine learning, bioinformatics, or medical informatics Proven ability to build maintainable, secure, and high-performance solutions Strong proficiency in Python and modern ML frameworks Skilled in deploying and supporting ML models in production Excellent communicator across technical teams and stakeholders Effective problem-solver who takes initiative in complex production settings Experience with scientific computing More ❯

independently, and bring proven expertise in developing and improving analytical workflows. Working closely with the Mirico team, you will help drive the next stage of our gas-modelling and ML capability , validate and enhance existing algorithms, and translate advanced analytics into actionable insights for customers via the Mirico Insights cloud platform. Job Description and Responsibilities Analyse and interpret greenhouse gas … emissions data from Mirico field deployments Contribute to the development and enhancement of key analytics pipelines, including: Detection of emission events (signal processing, anomaly detection, ML classification) Gas modelling for source localisation and quantification Total site quantification of emissions Research and apply machine learning and AI methods to complement physics-based models, improve detection sensitivity, and automate performance … machine learning, AI-driven pattern recognition , or anomaly detection in environmental or sensor data Experience in atmospheric dispersion, Gaussian plume , or advection–diffusion modelling Knowledge of probabilistic ML or hybrid modelling (combining physics and data-driven approaches) Familiarity with Bayesian inference, MCMC , or probabilistic programming frameworks (e.g., PyMC, Stan, or TensorFlow Probability) Operating data science/ML workloads 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 ❯

Assess the practicality and relevance of modern technologies such as machine learning, big data analytics, generative AI, multi-agent systems, and quantum computing in insurance and risk consulting. Work with diverse teams to pinpoint challenges in the industry and devise innovative solutions using these technologies. Examine intricate data sets to offer insights that aid in the strategic decision … business growth by engaging in client meetings, presentations, and proposals, highlighting the advantages and functionality of our technological offerings. Required Skills: Skilled in various modelling methods such as active learning, transfer learning, agent-based modelling, optimization, Bayesian inference, entity extraction/resolution, and spatio-temporal modelling. Proficient in developing models from fundamental principles and selecting modelling techniques without More ❯

and AI-driven research workflows . You will play a critical role in bridging the gap between data science, bioinformatics, and engineering — ensuring seamless, secure, and reproducible deployment of ML models in production and research environments. You’ll collaborate closely with AI Scientists, Data Engineers, and DevSecOps teams , building automation pipelines that accelerate model development and deployment across distributed, cloud … AI workloads and data processing. Build and maintain feature stores, model registries, and versioning systems to ensure traceability and reproducibility. Implement data ingestion and pre-processing pipelines to support ML and bioinformatics workloads. Collaborate with security and DevSecOps teams to enforce best practices in access control, compliance, and governance . Support AI/ML researchers in model experimentation and infrastructure … optimization. Monitor model and system performance, implement drift detection, and refine automated retraining pipelines. Contribute to the development of a modular, reusable ML platform architecture supporting multi-modal data (genomic, clinical, imaging, etc.). Essential Skills and Experience Proven experience as an MLOps Engineer, Platform Engineer, or DevOps Engineer supporting ML or data science teams. Strong hands-on experience with More ❯

Natural problem-solver with a desire to learn Organised and self-motivated Desirable skills Containerisation ASP.NET Core including Blazor JavaScript or TypeScript including React Programming with 3D geometry. WPF Machine learning model development CI/CD Infrastructure as Code (Iac) using Terraform for management of Azure and AWS resources More ❯

to learn Organised and self-motivated, able to own and independently manage large projects Desirable Skills: * Familiarity with Full stack development including Vue3, Typescript and Django AWS EKS deployments Machine learning model development Agentic AI pipeline development Some understanding on mechanical design processes and tools, specifically FEA and CFD for aerothermal design. Including a basic understanding of turbo More ❯

the professional relationships we make 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. Person specification Qualifications Expert knowledge of software and data engineering acquired through a combination of specialist training and relevant study (e.g., computer science, software engineering … JSON, SQL, and XML) and strong skills in relevant programming languages, frameworks, and platforms Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Additional information COVID-19: The COVID-19 vaccination remains the best way to protect yourself, your family, your colleagues and of course our More ❯

the professional relationships we make 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. Job description Job responsibilities Please see the attached job description and person specification for further information. For an informal discussion about this role, please contact … SQL, and XML) and Strong skills in relevant programming languages, frameworks, and platforms Desirable Interest and/or experience in technologies relating to data science, for example: statistical analysis, machine learning, or natural language processing Disclosure and Barring Service Check This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will More ❯

for delivery. What should you bring along? The candidate should be studying an IT, Business or Engineering related degree working towards a 2:2 or higher. Knowledge of different machine learning algorithms and experience implementing them in code. Knowledge of data analysis and data mining techniques, and experience implementing them in code. Expertise in using programming tools such More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

in interpreting analytical results. Build algorithms applicable across varied use cases and markets. Key Skills & Experience Strong experience interfacing directly with customers. Background in data science , including statistical modelling, machine learning, or applied analytics. Proficiency in Python for data analysis, modelling, and cloud application development. Exposure to automotive systems, electrification, or battery applications . Additional knowledge of electrochemistry More ❯

software development and testing. Experience 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 partner organisations. Desirable Knowledge, Skills More ❯

software development and testing. Experience 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 partner organisations. Desirable Knowledge, Skills More ❯

software development and testing Experience 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 partner organisations Desirable Knowledge, Skills More ❯

techniques for analysing a wide range of humanities data with the Wolfram Language; from text analysis, image processing, and visualization, to network analysis, time-related and geographic computation, and machine learning. The course assumes no prior knowledge of any programming language. Participants will learn the concepts needed to import, manipulate, and analyse humanities data using both natural-language input … to the humanities. This need not be text related. Potential topics for your presentation might include geodata & geocomputation, network analysis, general graphing & plotting, time series analysis, an intro to machine learning, sound analysis & sonification, using MMA with R-Link, etc. Meet the Instructors and Course Context Martin (who is a data scientist for Oxford University IT Services, and … two talks (or perhaps even assist us with running the class itself). Additional Context Although we didn't plan this, this is a particularly auspicious time to be learning the WL, with lots of new resources available from WR and elsewhere, and huge potential for applying it in the humanities. Contact and Communications If you're interested or More ❯

stakeholders. Contributing to agile delivery processes and sharing knowledge through workshops and demos. To be successful in this role, you will have: Proven experience developing and deploying AI/ML solutions on Azure. Hands-on expertise with Generative AI including LLMs and GPT Strong programming skills with Python and familiarity with AI/ML libraries Excellent communication and stakeholder engagement More ❯

curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. EIT is seeking a Product Manager to join the Applied ML team at Ellison Institute of Technology, as we set up our Data Science and Engineering organization and begin the journey of enabling various programmes and opportunities within EIT through the … disparate technical and domain expertise to a single purpose/vision This person would interface directly with our Product Leadership, as well as number of technical (e.g., Data Science, ML Ops), business and operational leads (within the programmes) and own the product strategy, feature definition, and development timelines for products that support programme or Applied ML objectives. Key Responsibilities: Define … and shepherd holistic Applied AI/ML product strategy and delivery in alignment with broader programme, business or research priorities including: Working with programme business leads to identify opportunities for applied AI/ML product and set the product vision and strategy in alignment with the programme mission Act as a link between technical team (e.g., data scientists, data engineers More ❯

AI Scientist ~x3 Job Openings Location: Oxford Working Model: Onsite every Tuesday & Wednesday About the Company The Applied AI team sits within cience and engineering division, focused on translating ML research into real-world impact across healthcare, climate, and biotechnology. Their current projects include antimicrobial resistance (AMR), plant phenotyping, and patient-journey modelling. About the Roles & Responsibilities Protein & DNA Modelling … building and adapting ML models to biological sequence and structure data, often leveraging foundation models such as ESM and EMO. Computer Vision & 3D Reconstruction – developing applied AI solutions for imaging data, including phenotyping, microscopy, and sensor-based reconstruction systems. LLM Engineering for Autonomous Labs – designing and deploying large language models to automate experimental workflows and scientific protocols. Qualifications PhD in More ❯