1 to 25 of 34 Machine Learning Jobs in Oxfordshire

Machine Learning Engineer Machine Learning Engineer – AI for Advanced Materials – Oxford (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech … printing , our client is transforming the way metal components are conceived, tested, and produced — enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact — from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to … build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you’ll fit right in. Our client is seeking Machine Learning Engineers with experience in some More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly … printing , our client is transforming the way metal components are conceived, tested, and produced - enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers, and materials researchers to … build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in. Our client is seeking Machine Learning Engineers with experience in some More ❯

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 ❯

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 ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial … create predictive maintenance solutions to reduce downtime. Efficiency & Planning: Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation techniques to support … to technical and non-technical audiences, and ensure best practices in analytical workflows. Technical Delivery: Engineer and optimise analytical and spatial SQL, build feature enrichment pipelines, develop and evaluate ML models, and package outputs for deployment. What You'll Need to Succeed Strong experience in applied machine learning (regression, tree ensembles, experiment design). Advanced proficiency in Python 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 ( min More ❯

to align to business needs - Leading a team across engineering and integration - Work to ensure the data infrastructure of the business effectively supports analytics, AL, machine learning ML and reporting - Designing of data pipelines, ETL, ELT processes and architecture - Work with internal stakeholders and multiple 3rd parties to seamlessly integrate systems, platforms and applications To be considered suitable 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 ❯

SQL databases Git proficiency and collaborative working approach Bonus points for: Agile experience, Linux familiarity, cloud platforms (AWS/Azure), CI/CD, or exposure to hardware integration and machine learning. Who Thrives Here You're curious, detail-oriented, and enjoy tackling diverse technical challenges. You write clean code, learn fast, and contribute ideas. You're comfortable working both 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 ❯

data quality, consistency, and usability.Your work will ensure the business has access to trusted, timely, and well-modelled data to support decision-making, operational reporting, and future AI/ML capabilities. Key Responsibilities Data Engineering Delivery: Build and maintain high-quality data pipelines and models in Snowflake to support analytics and reporting needs. Architecture Implementation: Apply defined data architecture standards More ❯

the technical direction of the product and mentoring other engineers on next-generation agentic AI best practices. The Role This senior role sits at the nexus of AI/ML engineering and DevOps. You will be instrumental in turning high-level AI concepts into production reality. The scope includes: Architecting and optimizing multi-agent AI pipelines with 4+ agents for … business. More information can be found at attisglobal.com. SEO Keywords for Search Senior AI Engineer, Full-Stack AI, Agentic AI, LangGraph, LangChain, Multi-Agent System, Large Language Models, LLMs, Machine Learning, MLOps, Data Scientist, Artificial Intelligence, AWS, Terraform, Kubernetes, EKS, Docker, Containerisation, Python, Go, Bash, CI/CD, GitHub Actions, Argo CD, Edge AI, Offline AI, MOD Clearance More ❯

. Key Responsibilities Architecture & Design Produce HLDs/LLDs, diagrams, ADRs, non‐functional requirements, and traceability to business goals. Select and justify cloud services (compute, storage, data, AI/ML, integration). Define multi‐cloud connectivity (hub‐and‐spoke, transit gateways, ExpressRoute/Direct Connect/Cloud Interconnect, SD‐WAN). Design identity and access (Azure AD/Microsoft Entra More ❯

with Pixhawk. Ability to work in field conditions, including support for field testing and sea deployments. Preferred Experience: Domain Experience in maritime, defence, or subsea robotics industries. Knowledge of machine learning, underwater SLAM, or AI for autonomy in constrained environments. Familiarity with underwater navigation, acoustic communications, or environmental sensing. If you’re passionate about both robotics, in particular 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 ❯

business development teams to align goals Represent the organisation at industry events and thought-leadership forums What You’ll Bring Proven track record selling complex software or AI/ML solutions to large enterprises Strong understanding of software buying cycles in engineering-led or regulated industries Exceptional communication and stakeholder-management skills Technical background in engineering, science, or mathematics Strategic More ❯

Your New Role We're looking for a Senior Data Scientist to lead the development and application of advanced analytics and machine learning techniques that answer complex business questions and drive strategic decisions. You'll work closely with data engineering and business teams to design models and analytical solutions that improve customer experience, optimise operations, and support financial More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong 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 ❯

business outcomes, Highly desirable is experience working within B2B SaaS and experience working on AI enabled/AI driven products within any industry. This could be products that are machine learning powered or enhanced. Due to our set up, we can only consider people living in the UK currently and we cannot provide sponsorship . Please apply for … new opportunities that strengthen Dexory’s category leadership. Extensive experience in Product Management with demonstrable impact at Senior/Lead/Principal level in B2B platforms (automation, AI/ML, data or industrial domains a plus). Track record aligning multiple teams around a clear strategy and delivering complex, cross-functional initiatives to measurable outcomes. Strong data fluency: defining KPI 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 ❯

Job Title: AI/ML Engineer Required Skills & Experience: Security clearance, or the ability to obtain one. Proven experience delivering multi-agent AI projects in production. Strong understanding of multi-agent orchestration, memory management, and tool integration. Proficiency in Python for AI development; experience with Bash and/or Go for automation. Familiarity with core cloud services and deployment tools. More ❯

platform that monitors a wide range of nocturnal parameters without the patients having to do or wear anything. The product incorporates state of the art sensor technology, with sophisticated machine learning and signal processing algorithms, collecting continuous, objective and accurate physiological data from the patient's home. Albus Home is certified for use in 25 countries, and has More ❯