76 to 86 of 86 Machine Learning Jobs in Oxfordshire

computational methods for translating metagenomic sequencing data into actionable results in a clinical or public health context. You will develop algorithms and AI/ML methods that are accurate and robust enough to be integrated into our infectious disease diagnostic product. You will report to the Lead Scientist in Computational … microbial genomics space. Key Responsibilities: Design, develop, and evaluate novel computational algorithms in areas such as taxonomic classification and antimicrobial resistance Develop ML/AI techniques to address real-world problems in the pathogen genomics space, in collaboration with scientists across EIT Validate and benchmark methods using public and internal ...

scope AI/agentic use cases, evaluate feasibility, and align stakeholders on priority and sequencing Work with technology teams (Salesforce, data engineering, AI/ML engineers) to produce detailed user stories and acceptance criteria that support development and QA, including for Agentforce agent builds and MCP server/tool integrations … familiarity with tools such as Jira, Confluence, Slack, Microsoft Office, and Microsoft Teams A genuine curiosity about AI and a habit of continuous learning — this space moves fast, and the role requires staying current Nice to Have Exposure to Salesforce Einstein, Copilot Studio, or comparable generative AI platform features ...

Will Do Build, test, and ship features for products in active use by energy companies worldwide. Debug and fix defects in production systems, learning how large‐scale applications behave under real conditions. Write and maintain automated tests as part of the team’s standard delivery workflow. Participate in code … data systems. Exposure to CI/CD or infrastructure automation tools. Interest in technically demanding application domains such as scientific computing, applied AI/ML, real‐time systems, large‐scale data processing, or similar. Energy industry experience is not required but is a strong plus. We welcome candidates from ...

Halliburton's Landmark Software & Services in Abingdon is seeking a geoscientist with strong programming and ML skills to develop novel subsurface solutions. You will lead cutting-edge geoscience research and collaborate with geoscientists, data scientists and product teams to turn ideas into practical prototypes. The role requires … equivalent, 10 years of experience, deep geoscience expertise, and proficiency in Python and ML libraries. #J-18808-Ljbffr ...

with subsurface datasets (e.g., wireline, seismic, biostratigraphy, geochemistry, rock properties, lithology). Strong Python programming skills. Experience with Relational Databases. Familiarity of AI/ML and its potential to support geoscience interpretation. Experience with ETL pipelines and data cleaning. Excellent communication and teamwork skills in a collaborative R&D environment. … closely with colleagues from multiple disciplines to refine and enhance workflows – particularly supporting customer workflows and customer data types. Stay current with AI/ML technology and geoscience advancements to drive innovation. Contribute to customer presentations, particularly regarding customer data and their associated workflows. Desirable Experience Awareness of data analysis ...

computer vision systems for the transformation pipeline, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success. Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer … phenotyping and automation data in high‐throughput transformation pipelines. Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure. Co‐develop and manage project plans, timelines, and reporting frameworks to ensure delivery of technical milestones and progression towards ...

opportunity with significant room to shape what we build. You’ll turn customer needs into a focused roadmap, lead discovery, and partner with engineering, ML, design, and clinical teams to bring new products to market. You’ll also work closely with business development and sales to connect product decisions … data needs, buying processes, and willingness to pay. Translate what you learn into clear product decisions. Build and ship new products. Work with engineering, ML, design, and clinical teams to define requirements, scope initial releases, and deliver useful, trustworthy experiences. Turn early engagements into repeatable products. Distinguish customer‐specific requests ...

sensitive research environments. Partner with Research, Data, and Applied teams to forecast capacity and cost for GPU and storage needs, setting quotas and streamlining ML experimentation pipelines. Essential Skills, Qualifications & Experience: Proven experience leading the design, build, and operation of high-performance ML compute clusters at scale A proactive, autonomous … approach to systems design and the proven ability and desire to ideate, co-create and implementoptimalsolutions Exposure to migrating or transforming ML infrastructure from traditional schedulers to modern, containerised systems Expertisewith high-throughput storage systems for ML/HPC workloads Expert-level understanding of GPU architecture, high-speed networking ...

Machine project at the Ian Ramsey Centre for Science and Religion, University of Oxford, seeks a postdoctoral-level researcher to handle technical aspects of experimental work … with large language models and AI tools. You will contribute to Workstream 1 and support Workstream 2 as a technical expert, applying Python and ML frameworks to deploy and test local models, interpret results, and advance the theology of AI. #J-18808-Ljbffr ...

Ellison Institute, LLC is seeking an experienced Senior ML infrastructure engineer to build and operate scalable GPU training and inference clusters in a secure, observable environment. You will design high-throughput data paths and manage lifecycle of compute and storage resources to accelerate research outcomes. Ideal candidates bring hands … experience with containerised ML pipelines, GPUs, and modern CI/CD practices. #J-18808-Ljbffr ...

subsurface modelling. Under supervision, you will translate geological concepts into robust computational workflows, work with data scientists and product teams, and apply AI/ML to automate or enhance subsurface interpretation while maintaining geological realism. #J-18808-Ljbffr ...