1 to 25 of 59 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 ❯

Role Overview We are seeking a Machine Learning (ML) Engineer to join our expanding Data & AI team, focusing on delivering AI solutions for public sector and enterprise clients. The ML Engineer will collaborate with data scientists, architects, software engineers, business analysts, and project managers to develop innovative AI … processing, and storage for AI and analytics applications. Design and develop AI agents for creating intelligent autonomous systems. Optimize performance, scalability, and reliability of ML solutions using best practices. Monitor and troubleshoot solutions with Azure AI Metrics Advisor, Azure Application Insights, and Azure Monitor. Engage with stakeholders to understand needs … and provide data-driven insights. Stay updated with emerging AI and ML trends and technologies, including Agentic AI, RAG, and Image Generation. About you At least 3 years of experience in machine learning, data science, or software development. Proficiency in Python, C#, and other relevant programming languages. Experience More ❯

receptor (TCR) drugs. Using our wealth of structural data, combined with further in-house and public domain data sets, the successful applicant will develop ML algorithms to impact the design of future drugs. This is an exciting technology-focussed role so innovation, execution and collaboration are key factors for success. … our history, and be part of a team that values innovation, trust and collaboration.KEY RESPONSIBILITIES* To develop and assess advanced machine learning (ML) models for novel antibody and TCR drug candidate optimisation and, looking to impact de novo drug design in the future* Utilise our extensive in-house … to identify training data from the public domain and help shape the development of our in-house data sets to support the optimisation of ML algorithms * Drive the establishment of virtual screening tools including:o Protein structure predictiono Affinity predictiono Peptide human leukocyte antigen (pHLA) specificity predictiono Developability prediction* Assist More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting-edge cloud projects for prestigious clients? This organization has experienced continual strong growth since its founding. This exciting role involves designing, building, and delivering complex new solutions within … development and progression with support Performance Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will create ML models for deployment in the cloud and support Data Engineering, DataOps, and DevOps teams. You will work with the latest technology on highly visible, large … scale projects. What you'll bring to the role Strong grounding in ML approaches, techniques, and frameworks Proficiency in Python, Pandas, TensorFlow, Scikit-learn, Numpy, SciPy Experience deploying models to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF, etc.) Ability to work with databases such 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 ❯

Head of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team … alignment with business objectives and operational excellence. Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units.Machine Learning & AI Implementation Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas … machine learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact.Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.).Big Data & Cloud Platforms 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 ❯

Head of Data Science to establish, lead and grow our Data Science practice, including the Centre of Excellence (CoE) and oversee the deployment of machine learning, predictive analytics, and data-driven decision-making across the business. In this pivotal role, you will provide strategic leadership to your team … Establish the Data Science Centre of Excellence (CoE) to standardise methodologies and foster collaboration across business units. Oversee the design, development, and deployment of machine learning and AI models, ensuring scalability and real-world applicability in areas like predictive maintenance, leakage detection, and customer analytics. Team Leadership & Hub … learning, and analytics, with a proven track record of technical leadership, strategic influence, and business impact. Essential Technical Skills & Qualifications Advanced Analytics & ML Deployment - Expertise in Python, R, or similar, with strong proficiency in cloud-based AI/ML services (Azure ML, Databricks, etc.). Big Data & Cloud More ❯

Oxford, including Prof. Brent Mittelstadt and Prof. Chris Russell, as well as other national and international stakeholders. Key areas of work include: Developing new ML and AI methods to address legal and social issues Studying societal impacts of generative AI and hallucinations in contexts like misinformation and human rights Advancing … Qualifications: Doctoral degree in machine learning or a related field (or near completion) Ability to review relevant academic literature, especially in ethical ML Excellent command of English (spoken and written) Strong writing, presentation, and analytical skills Research experience with publications appropriate to career stage Experience with ML frameworks … Interest in organizing academic events Desirable qualifications include experience with policy-making or knowledge exchange with stakeholders, and the ability to identify gaps between ML/AI use and ethical guidelines. What we offer: Opportunity to contribute to cutting-edge research on fairness, accountability, transparency, and public sector technology procurement 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 ❯

Shape the future of AI in healthcare & lead a talented data science team Work on cutting-edge GenAI, ML, and traditional AI projects. Lead and grow a collaborative and technically strong team. Blend hands-on coding with team leadership. Were working with a market-leading health-focused organisation thats using … play a key role in shaping how AI is used to solve real-world problemsacross pricing, claims, customer behaviour and morewith projects spanning traditional machine learning through to advanced GenAI. The team has strong momentum, leadership buy-in, and real appetite for innovation. If you're someone who … technical stakeholders will be key, as will your curiosity and commercial thinking when solving problems. The current roadmap includes over a dozen AI and ML initiatives, ranging from claims optimisation to pricing models and GenAI tooling. Youll report directly into a senior data leader and play a big part in 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 ❯

talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive for … A relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deep learning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute More ❯

talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive for … A relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deep learning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute More ❯

talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive for … A relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deep learning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute More ❯

talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive for … A relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deep learning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute More ❯

talented scientists, engineers and project managers on multi-faceted technical challenges. Grow your technical and analytical skills - Develop in an environment that supports continuous learning and professional development. About You You’ll be working with an established team that brings together deep technical expertise and a shared drive for … A relevant postgraduate degree in a technical or scientific field Additional experience that would be beneficial: Exposure to LiDAR or GPR data Understanding of machine learning or deep learning models An interest in geophysics, environmental data or similar domains The ability to balance multiple projects and contribute More ❯

would be advantageous Familiarity with analysis of genomics, proteomics or transcriptomics data and/or electronic health records Experience with advanced statistical techniques and machine learning algorithms would be a plus Key attributes: Excellent communication and presentation skills in English (min. of equivalent of CEFR level C1) Highly 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 ❯

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 ❯

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 ❯