24 of 24 Permanent Machine Learning Jobs in Oxfordshire

Data Scientist (Machine Learning) – Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most … team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of our new Microsoft Fabric Lakehouse and machine learning platform. This is a largely remote role with on average just 1 day a month required in the office. ...

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 … 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 ...

Redefine What’s Possible. We’re working with an early-stage deep tech company developing a next-generation analytical platform at the intersection of machine learning, mathematics, and experimental science. They … hiring one of their first technical team members, a Machine Learning Research Engineer, to help design and develop the core ML-driven analysis engine that underpins the entire platform. This is not a narrow modelling role. It’s an opportunity to help define the research direction, shape ...

will take ownership of turning advanced models into robust, real-world components - from training pipelines through to deployment on edge systems. The Senior ML/CV Engineer role combines hands-on engineering with applied research, with opportunities to contribute to state-of-the-art work suitable for venues such … , AI, Computer Vision, or related field Strong experience with deep learning frameworks (PyTorch/TensorFlow) Strong experience with computer vision models and ML training and evaluation pipelines Strong programming skills (Python, Java, C, CUDA and/or C++) Demonstrated ability to translate theory into working systems Citizenship ...

Data Scientist (Machine Learning) - Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. Due to exciting growth we are building a new machine Learning team. With most … team in place we are looking for a Data Scientist (Machine Learning) to support the build and launch of click apply for full job details ...

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 … 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 ...

Senior Applied Machine Learning/Computer Vision Engineer Oxford - hybrid working c£90-130k DoE + Equity We're seeking a Senior Applied Machine Learning/Computer Vision Engineer to develop and deploy machine learning models for a cutting-edge multi-camera perception ...

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 … 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 ...

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables … growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

equip students with an understanding of database systems, internet technologies, data, cyber security, networking, and business information systems. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

/best practices and practical experience applying TDD. clear communication/interpersonal skills are a must for working closely with internal teams. Experience with Machine Learning, CI/CD and IAC using Terraform for management of Azure/AWS would be beneficial. What you'll get in return ...

must have written production grade code in C#, C++ or Python for application development (not web apps or embedded) and an interest in pushing Machine Learning over time. Crucially we are looking for experience with AWS Cloud/Distributed Computing to be considered. Your new role In this ...

simulation software Cloud platforms such as AWS (including EKS) or Azure Containerisation tools such as Docker or Kubernetes Full stack development (Vue, TypeScript, Django) Machine learning or AI pipeline development Experience with engineering, scientific, or simulation-driven applications (e.g. CFD/FEA) What Next ...

clearly Experience mentoring or supporting the development of other engineers Nice to Have Experience in regulated or high‐availability environments Exposure to AI or machine‐learning‐enabled systems Experience with TDD, DDD, or BDD Background in performance‐critical or highly scalable platforms What’s on Offer ...

autonomous vehicles (UGV, UAV, USV), robotics and other such systems. Theyre building a fundamentally new approach to multi-stereo perception, combining geometric methods and learning-based techniques into a deployable real-world system. You will work directly with the CTO and AI Lead to design and implement the core … perception techniques Collaborate on research outputs suitable for top-tier conferences (ICCV, CVPR, NeurIPS) where appropriate System Integration Work closely with ML and systems engineers to integrate perception into deployable systems Analyse real-world performance and iterate on failure modes Ensure algorithms perform robustly outside controlled environments Engineering Execution Translate ...

genomics or bioinformatics to work directly alongside scientists and researchers, turning complex biological data into reliable, scalable datasets that can power AI and machine learning models. This role sits at the intersection of data engineering, genomics, and applied research - ideal for engineers who enjoy collaborating closely with scientists … world scientific progress. What you’ll work on Building robust pipelines to process and curate genomic datasets Turning raw sequencing and biological data into ML-ready training datasets Working with formats such as FASTQ, FASTA, VCF and other high-throughput biological data Collaborating with bioinformaticians, computational biologists, and ML teams ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

challenges Small company can-do mentality Ability to work calmly under pressure Desired Skills: Docker Linux Microservices Kafka Azure or other Cloud applications Machine Learning ...

looking for an experienced (senior) HPC Infrastructure Engineer to design, deploy, and maintain high-performance computing clusters, container platforms (Kubernetes/Docker Swarm), and machine-learning infrastructure. Working closely with Platform Engineering and Infrastructure teams, you will implement resilient infrastructure solutions, manage lifecycle activities, and provide 3rd line ...

receive structured job support to help you secure your first role. The Programme This 10 14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer ...

quickly together, embracing collaboration and change as part of start‐up life. Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it – not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag‐based workflows). Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system. Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...

quickly together, embracing collaboration and change as part of start-up life.? Individuals thrive here if they enjoy taking ownership, wearing multiple hats and learning quickly, and are comfortable going beyond core hours when work demands it - not because it is expected every day, but because seeing progress matters. … Integrate performance testing techniques across multiple types of simulation (e.g. Gazebo, rosbag-based workflows).? Collaborate with hardware engineers, systems architects and AI/ML specialists to integrate embedded software and test frameworks into the overall system.? Participate in code reviews, performance optimisation and comprehensive testing (unit, integration and system ...