1 to 25 of 37 Machine Learning Jobs in Oxfordshire

to help take cutting-edge approaches and turn them into performant and robust solutions for our customers' problems. Your responsibilities include: Creating AI/ML solutions for signal processing, geospatial data modelling, image processing and high-fidelity simulations of physical systems. Collaborating with colleagues across the team (Product Managers, Machine Learning Scientists, Machine Learning Software Engineers). Maintaining a good working knowledge of state-of-the-art ML methods, software tools, and implementation methods. Working closely with platform-engineers to provide ideas and advice on ML techniques. Evaluating scientific concepts for viability of implementation. Ensuring scientific … delivery process. Writing maintainable production-code and promoting best practices for code quality. Attending client meetings as required. Delivering training to customers on core ML concepts and Mind Foundry products and solutions. Attending appropriate scientific conferences and events. Mentoring colleagues in research or Machine Learning/Data Science. More ❯

Job Title: Machine Learning & Data Scientist Location: Reading, UK (Hybrid) Salary: Up to £80,000 per annum About Us: We are dedicated to enhancing the global growth and resilience of renewable energy transmission by delivering intelligent, autonomous robotic monitoring solutions for high-voltage assets. Our mission focuses on … supporting power transmission operators worldwide with advanced technologies. Role Overview: We are seeking a Machine Learning & Data Scientist to join our dynamic team. The ideal candidate will have experience in developing multimodal models and a background in condition monitoring, particularly concerning high-voltage assets. This role offers the … opportunity to contribute significantly to the development of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI More ❯

Machine Learning Engineer (Medical & Drug Discovery) Oxford (2 days a week onsite) Competitive (Up to £85,000, DOE) Join a leading innovator in medical and drug discovery, using AI to accelerate healthcare breakthroughs. If you're passionate about applying machine learning to complex biological challenges, this … research. You'll collaborate with data scientists, bioinformaticians, and scientific experts to transform large datasets into actionable insights. Key Responsibilities: Develop, train, and deploy ML models for protein structure, drug-target interactions, and biomarker discovery. Build data pipelines for large biomedical datasets (genomics, clinical, molecular). Implement deep learning … and improve model performance. Requirements: Bachelor’s, Master’s, or PhD in Computer Science, Data Science, Bioinformatics, or related field. Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch). Experience with bioinformatics tools (e.g., Biopython, RDKit). Strong knowledge of statistical models, deep learning, and data preprocessing. Familiarity More ❯

ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a direct impact on the development of new therapies and treatments. Key Responsibilities: Analyze … transcriptomic, proteomic, and clinical data to support drug discovery projects. Develop and optimize bioinformatics tools and pipelines for high-throughput data analysis. Collaborate with machine learning engineers and biologists to design data-driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms … understanding of genomics, transcriptomics, proteomics, and other omics data. Familiarity with cloud platforms (AWS, GCP, Azure) and high-performance computing. Experience with statistical analysis, machine learning, or data visualization tools (e.g., R, MATLAB, Jupyter). Strong communication skills to collaborate across teams and present findings to both technical More ❯

IDEX. Application Instructions Interested applicants should write to us with: a letter of interest, CV, and should require two recommendation letters. Context Bayesian deep learning brings together two of the most important machine learning paradigms: Bayesian inference and deep learning. On the one hand, Bayesian learning … a theoretically sound framework to formalise the estimation of the architecture and the parameters of deep neural network models. On the other hand, deep learning offers new tools in Bayesian modelling, e.g. to learn flexible nonparametric priors or computationally efficient posterior distribution approximations. State of the Art The field … of machine learning has recently been much impacted by deep learning. Deep neural networks are now at the basis of the state-of-the-art in computer vision, natural language processing, to cite just a few. While very effective, these models are computationally costly and require large quantities More ❯

our Optimization team at Taktile as a Full-Stack Engineer. You will build isolated, scalable data warehouses for finance data on AWS. Develop operational, ML/AI and visualizations tools to help customers derive value from their data. Your contributions will directly enhance our automated decisioning platform, allowing users to … customer facing data interfaces with React to manage and communicate decision policy performance Develop data-backed tools for improving policy performance, such as training ML models on historical data and backtesting at scale. Design and develop scalable RESTful APIs using Python on AWS, leveraging services such as Lambda, S3 and … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

will collaborate closely with medicinal chemists, biologists, ADME and engineers to drive drug discovery using Recursion's cutting-edge Design Platform. Leveraging AI/ML, computational chemistry and drug design tools, you will help invent new medicines with unprecedented productivity. Beyond hands-on project work, you'll have opportunities to … to help you grow, learn, and make a lasting impact. In this role, you will: Design potential drug molecules using cutting-edge AI/ML, molecular dynamics, synthesis-aware generative design and active learning. Build and execute generative workflows, collaborating with medicinal chemists and biologists to refine and prioritize designs. … Excellent interpersonal, verbal, and written communication skills, with the ability to effectively engage both internal teams and external stakeholders. Strong interest in AI/ML and its application to drug discovery. Knowledge of pharmacokinetics and ADME data interpretation. Experience applying machine learning techniques for predictive modeling and generative More ❯

Exposure to DevOps practices and principles We are looking for someone with a passion for exploring the latest technologies, including cutting-edge advancements like machine learning and how generative AI can be used within their product offering. A true technologist at heart, you stay ahead of the curve … continuously learning and championing innovative solutions. We'll favour candidates who bring enthusiasm for leveraging technology to drive progress. Desirable Skills: Any experience/exposure or an interest in Big Data and Data Analytics Knowledge of AI, Machine Learning or GenAI would be a great advantage Database More ❯

, Experimentation, Martech, and Customer Service . Manage a team of Product Managers across multiple platform domains, ensuring alignment and collaboration across Product, Engineering, ML/AI, and Analytics. Drive a strategic vision for internal platforms, balancing long-term investments with immediate business needs. Build scalable, flexible, and high-impact … internal capabilities. Advocate for the importance of internal platforms , ensuring company-wide alignment on priorities and value. Stay ahead of industry trends in AI, ML, data, martech, and automation to continuously improve internal capabilities. What We're Looking For Required 12+ years of product management experience, including 5+ years in … leadership roles . Proven experience leading cross-functional teams building Data, ML, or Martech products. Strong technical understanding of data platforms and AI-driven products . Experience building platform products that serve internal teams across an organization. Deep appreciation for technical requirements for platforms such as performance, availability, resilience, and More ❯

AI Engineer - 60,000 - Remote My client, a Microsoft partner, is looking for a AI/ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI … technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

debug complex technical issues and implement effective solutions. Preferred Skills: Experience with containerization tools like Docker and Kubernetes. Understanding of data preprocessing techniques and machine learning workflows. Familiarity with Agile development methodologies. Hands-on experience integrating AI solutions into applications Qualifications: Education: Bachelor's or Master's degree More ❯

in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements Taktile is a hybrid … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from our experienced team, contributing to a foundational layer of the product, and joining cross-team learning groups. Requirements Taktile is a hybrid … London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

place, maintaining accuracy, security, and compliance. Establish scalable data models that support both operational and strategic decision-making, with awareness of emerging AI/ML opportunities. We have efficient, scalable data infrastructure that supports analytics and automation: Design and optimize data pipelines, ensuring high availability and performance. Eliminate data silos More ❯

unstructured and structured data pipelines including large image datasets Knowledge of modern data warehousing and data lake technologies Practical experience with Python, R, and ML frameworks (PyTorch and Tensorflow) and statistical methods Linux system administration AWS and GCP administration Experience with GPU cluster and Linux server administration Desirable PhD in More ❯

Our client, an exciting Biotech start-up is seeking Senior Machine Learning Engineers for their latest product in AI Drug … Discovery. You must have experience in Biology, preference being within Drug Discovery. Requirements: Strong proficiency in Python Experience with LLM development Experience in deploying ML models at scale Understanding of NLP Proven track record in productionizing ML models Benefits: Salary up to £160,000 Equity/share scheme 3 days More ❯

and analytical approach to problem-solving Good mathematical skills Self-management and teamwork capabilities A structured and rigorous approach to work Desirable: Understanding of machine learning principles Experience in building, training, and testing models in TensorFlow Experience in writing code for image processing If you are a Graduate More ❯

role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to More ❯

complex information clearly and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

sectors. Key Responsibilities: Develop algorithms to process and analyze complex geospatial and sensor data. Work with large-scale datasets to drive insights and support machine learning applications. Improve internal software tools using Python and other relevant technologies. Collaborate with a team of scientists and engineers to solve industry More ❯

London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as More ❯

Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. More ❯

Required Qualifications In computer science, engineering, analytics, mathematics, statistics, IT, or equivalent. Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. Preferred Qualifications Experience with AWS technologies like Redshift and extracting value from large More ❯