10 of 10 Machine Learning Jobs in Oxford

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 ❯

computational chemists to understand their challenges and translate complex scientific requirements into clear, actionable product plans. Drive Execution: Lead a cross-functional team of world-class cheminformaticians, AI/ML scientists, and engineers to deliver high-impact tools, from synthesis-aware generative models to advanced physics-based simulations. Industrialize Discovery: Be a key driver in our push for industrialization. You … years (Staff) of product management experience, with a proven track record of launching and iterating on complex, technical products. Deep experience with products that have a significant AI/ML or data science component. You are comfortable with the nuances of building, deploying, and improving machine learning systems. A demonstrated ability to apply customer-centric product principles, whether … its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up 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 ❯

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 ❯

DESIRABLE QUALIFICATIONS AND SKILLS ● Scrum Master certification. ● Experience delivering cross-company change management/process implementation. ● Experience working on Cloud-native products and services. ● Experience working on AI/Machine Learning or Big Data projects. ● Experience/knowledge of AI in healthcare in particular natural language processing. You Are: ● Someone who enjoys running complex software or infrastructure projects … Pension scheme with the opportunity to receive employer contributions ● 25 days annual leave, plus the bank holidays (+3 days after 3 years) ● Health insurance package after probation completion ● Fantastic learning and development opportunities including a personal training budget ● A range of team-building activities and socials ● Hybrid working – minimum 2 days per week in office (Oxford or London) Right More ❯

how science moves forward!Java Engineers here build the platforms that make this possible. Whether it’s designing fast, reliable search systems for chemical data, improving the accuracy of machine learning models, or creating clean, intuitive interfaces for researchers, the work is deeply technical and genuinely meaningful. You won’t be building throwaway features, you’ll be solving … TDD, Kafka and agile.Salary in the range of £100k - £120k, based in Oxford (hybrid), 8% pension, health and dental insurance, 25 days holiday and two stage interview process.Interested in learning more? Or know someone who might be interested in this role Please steer them my way – or add me on Linkedin – Rebeka Mulk @ Opus to have an informal chat.Please 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 ❯

art medical imaging software, the Software Engineer will: Work with a mature Python/Django codebase to further develop clinical products which give diagnostics information to clinicians Work with machine learning concepts to develop existing and new medical image analysis technologies Help develop and administer documented procedures around quality and cybersecurity Monitor and optimise system performance, availability, and More ❯

work directly with clients to understand their challenges. You will then use your experience to advise on solutions that can benefit the business and help improve performance using AI, ML and Advanced Analytics. The client is committed to becoming leaders in their industry within the UK and is renowned for offering fantastic opportunities to move up the ranks of the … models into client environments and monitor on-going performance, making changes where necessary To be successful in this role you will have . Commercial experience working in AI/ML Strong programming skills with Python and other languages such as R or Java Strong cloud experience in an Azure environment (AWS or GCP also beneficial) Experience with Gen AI would 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 ❯