1 to 25 of 137 Permanent 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 ❯

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting … problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development … essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As … a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop … and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Diffusion models in molecular design Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . More ❯

in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI Adept at applying advanced deep learning techniques in practical scenarios Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical … your skill set within a dynamic and supportive environment Work with Big Data solutions and advanced data tools in cloud platforms Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights Lead teams of data scientists and software engineers to successful project execution TOGETHER … WE WILL Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments Drive innovation in the realm of Generative AI and Language Models contributing to groundbreaking projects that redefine AI More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

Remote Up to £65,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation … eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to refine pricing strategies and improve … business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline More ❯

Staff AI/ML Engineer Location: Remote (UK) Employment Type: Full-time About the Company: A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual … storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI …/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather than 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 Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate design, build and deliver … support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps and Devops. You will be working with the latest technology on highly … visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases 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 ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

data science team as we scale. Key Responsibilities Design and implement data science solutions to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to … Mentor team members and contribute to building a data-driven culture Essential Requirements Technical Skills: Proficiency in Python or R for data analysis and machine learning Strong SQL skills for data extraction, transformation, and analysis Experience with Azure cloud platform and services Hands-on experience with AI productivity … tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science projects in a business environment Experience translating business requirements into technical solutions Strong More ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery 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 ❯

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 ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that … s doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI … AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that actually ship Mix of hands-on ML, infrastructure, and product input Remote-first with flexibility and a solid team culture It’s a remote-first setup (occasional office visits), with a clear More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high 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 ❯

using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into … Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning frameworks (e.g. … PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline. Strong communication skills and an ability to collaborate effectively with technical More ❯

using multi-sensor inputs. Develop and deploy AI models on edge and embedded platforms (e.g., Nvidia Jetson, Raspberry Pi). Build and maintain robust machine learning pipelines for deployment in air-gapped or offline environments. Work closely with engineers, researchers and domain experts to integrate perception modules into … Deep understanding of computer vision techniques for detection and localisation. Strong experience working with embedded or constrained compute platforms. Proficiency in Python and major machine learning frameworks (e.g. … PyTorch, TensorFlow). Experience with version control (Git), containerisation (Docker), and cloud technologies (e.g., AWS). Experience with building and maintaining end-to-end ML pipelines. Degree (BSc, MSc, or PhD) in Computer Science, Engineering, or a related discipline. Strong communication skills and an ability to collaborate effectively with technical More ❯