1 to 25 of 174 Machine Learning Jobs in Nottingham

Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials Join to apply for the Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials role at Nottingham Trent University Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular … Framework Materials 1 week ago Be among the first 25 applicants Join to apply for the Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials role at Nottingham Trent University Get AI-powered advice on this job and more exclusive features. Postdoctoral Researcher in Machine Learning of Porous Molecular Framework Materials Grade H £38,394 - £43,188 p.a. pro rata 1 year fixed term contract About The Role Molecular Framework Materials (MFMs) are of strong interest worldwide due to their porosity, crystallinity and chemical functionalizability/tunability making them appealing for a broad More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, nottingham col-narrow-left Client: Location: nottingham, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 4 Posted: 31.05.2025 Expiry Date: 15.07.2025 col-wide Job Description: 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 More ❯

Social network you want to login/join with: 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 is essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid More ❯

role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing … closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch, Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity More ❯

complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with … software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards Staying current with emerging AI/ML techniques and assessing their applicability to defence applications Strong background in machine … in a related field Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch Demonstrated ability to build and optimise ML pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity 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 Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . #J-18808-Ljbffr 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 ❯

range of machine learning techniques suitable for various data shapes and types. Support the implementation and application of cutting-edge AI/ML techniques across multiple product lines, aiming to contribute effectively to product enhancement. Conduct exploratory data analysis to identify trends, patterns, and anomalies in datasets. Assist … Concept (PoC) projects by analysing data outputs and assessing model performance. Create clear, data-driven reports and visualisations to communicate findings from AI/ML models to technical and non-technical audiences. Contribute to automation of data analysis workflows to streamline reporting and validation processes. Qualifications include knowledge of AI …/ML, Mathematics, Data Analysis, Python, Git, SQL, and BI Tools. #J-18808-Ljbffr More ❯

and experience — talk with your recruiter to learn more. Base pay range Direct message the job poster from Intellect Group Data Scientist – AI/ML Software | Junior to Mid-Level (Retail Industry Focus) Hiring for both Junior and Mid-Level candidates Equity Options : Own a part of the company’s … home options, with access to an exciting office environment in Nottingham. Health and Wellness : Comprehensive private healthcare and wellness benefits. Career Growth : Opportunities for learning and development in a fast-growing AI startup. Generous Holidays : 25+ days … holiday to ensure a healthy work-life balance. Pension Scheme : Contributing to your future financial security. We’re partnering with an innovative AI/ML company based in Nottingham that’s revolutionising the retail industry with its groundbreaking AI-powered platform. Their cutting-edge system doesn’t just analyse data More ❯

Role We are now looking for an AI Solutions Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers' manual processes into AI automated solutions. Your mission will be to ensure our customers receive the … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. As … development platform that scales with our product strategy. Ensure our AI services maintain high standards of reliability, observability, availability, and performance. Participate in our machine learning community to influence how we implement machine learning and computer vision technologies, shaping Unitary's future. Take ownership of customer More ❯

permit required: Yes col-narrow-right Job Views: 1 Posted: 04.06.2025 Expiry Date: 19.07.2025 col-wide Job Description: Senior Digital FPGA Engineer - IP/Machine Learning in Nottingham Based in Nottingham, UK Opportunity to work in a leading Machine Learning/AI technology company Competitive benefits … and salary, with hybrid working (3 days on site, 2 at home) A prominent machine learning company in Nottingham, developing innovative financial industry technology, seeks experienced Senior Digital Design and FPGA Engineers. The role offers excellent benefits, a positive work environment, and exciting opportunities for innovation. As a … Senior Digital FPGA Engineer, you will develop FPGAs using SystemVerilog, collaborating with software and machine learning teams to create low-latency, high-throughput applications. Requirements: Experience in FPGA design, development, and testing Proficiency in SystemVerilog, VHDL, and/or Verilog Programming skills in C/C++ or Python More ❯

Postdoctoral Researcher in Machine Learning of Porous Molecular Framework Materials Grade H £38,394 - £43,188 p.a. pro rata 1 year fixed term contract About the Role Molecular Framework Materials (MFMs) are of strong interest worldwide due to their porosity, crystallinity and chemical functionalizability/tunability making them … appealing for a broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying computational chemistry to MFMs is that, even for "rigid" MFMs, especially when functionalized, their structures are disordered due … guest binding, diffusion and even the dynamic behaviour of the entire MFM. In this project, funded by the Leverhulme Trust, we will develop a machine learning platform to describe the the effects of isomerization on adsorption and diffusion in porous Molecular Framework Materials (e.g. MOFs, COFs, ZIFs, MOPs More ❯

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 management or other hands-off responsibilities. You’ll architect and build reliable and scalable AI/ML systems, laying the groundwork for a new, dedicated team focused on intelligent product capabilities. With a focus on applied machine learning, generative AI, and cloud-native tools, this is an More ❯

early-stage startup backed by top-tier investors is seeking an ambitious Machine Learning Engineer to join as their first full-time ML hire . As a core member of the founding team, you’ll generative voice and speech-to-speech models and your work will directly shape … paced, high-performance environment. ? What You’ll Do Design and implement cost-efficient, high-performance infrastructure for storing and transforming massive audio datasets. Apply ML audio and DSP techniques to clean, segment, and filter speech data. Manage large-scale cloud data storage with a deep understanding of cost-performance tradeoffs. … Build scalable ML training pipelines in PyTorch using large datasets. Contribute to research and development of generative voice and speech-to-speech models. Prototype and implement novel ML/statistical approaches to enhance product capabilities. Develop robust testing pipelines to evaluate model performance on audio data. What We’re Looking More ❯

Social network you want to login/join with: Synechron is looking for a Senior Data Scientist/ML Engineer to join their Data and AI Practice to work on a multi - year, AI programme of work within a leading financial institution. The roles primary responsibility is to extract actionable … insights from complex data. Using advanced statistical analysis, machine learning, and data modeling, you will support strategic decision-making across the organisation. Role: Develop and implement machine learning models and algorithms Extract meaningful insights from large, complex datasets Deploy and maintain models using MLOps best practices … Azure) for data management and deployment Apply expertise in computer vision, large language models (LLMs), and statistical analysis Experience: Strong proficiency in Python and machine learning libraries Strong understanding of machine learning algorithms and model training/deployment Experience with computer vision and LLM applications Skilled 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 … or similar - DESIRABLE Years of Experience 5+ years working with production data workloads in Azure - ESSENTIAL Other Requirements 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 ❯

in-office collaboration. The Role You'll be a key member of the engineering team, focused on building LLM-driven features, intelligent agents , and ML-powered backend systems that automate and optimise intricate workflows. It’s an ideal role for someone with strong backend/ML experience who wants to … cross-functional teams to bring ambitious ideas to life—balancing innovation with real-world delivery. What You’ll Be Doing Design, build, and deploy ML-powered features, agents, and APIs to automate unstructured tasks Build production-level backend and microservices in Python and TypeScript Work with product and engineering teams … of features end-to-end, from design to deployment and monitoring What They’re Looking For 8+ years of software engineering experience , with strong ML or backend focus Proficiency in Python and/or TypeScript , and experience with production-grade systems Familiarity with LLMs, AI agents, or orchestration frameworks (OpenAI More ❯

sports models. This position sits at the intersection of data science, engineering, software development, and mathematics , offering the opportunity to work on highly impactful machine learning solutions within the iGaming industry. Key Responsibilities Build and maintain robust, high-quality datasets for machine learning models. Design and … implement automated algorithms and advanced machine learning tools. Collaborate with a cross-functional team to solve complex problems and drive innovation. Skills & Qualifications Solid experience with machine learning , particularly with neural networks . Strong programming skills, preferably in Python ; knowledge of Matlab is a plus. Expertise More ❯

Social network you want to login/join with: Data Science & Machine Learning – Elite Talent Wanted, nottingham col-narrow-left Client: Location: nottingham, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 2 Posted: 06.06.2025 Expiry Date: 21.07.2025 col-wide Job Description … Data Science & Machine Learning – Elite Talent Wanted Top End Salary (D.O.E) We're hiring on behalf of a prestigious client seeking exceptional AI and Data Science professionals . If you hold a top-tier degree from a world-class university and thrive on solving complex problems with cutting … , or data science Background in mathematics, statistics, computer science , or a related field Proficiency in Python, R, or similar languages and experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) is a plus Analytical mindset with a passion for innovation and problem-solving Willingness to relocate to Glasgow What 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 ❯

months: Own and evolve pipelines built in Python and R (and Kedro and SageMaker) to analyse immune profiles Contribute to modelling projects that use ML to identify immune signatures of disease or treatment outcomes Support internal tooling that connects lab outputs, data cleaning, and model-ready datasets Collaborate with scientists … domain: e.g., model validation, ontologies, scientific interfaces You Might Be a Fit If You: Have 2–5 years experience in applied data science or ML engineering, ideally in life sciences or health data Write clean, reproducible Python and it would great if you understand workflow tools like Kedro, Dagster, or … other orchestration platforms Have built and evaluated ML models for real-world use cases (especially classification or regression with limited samples) Are excited by biological complexity: You don’t need to be an immunologist, but you need to respect the nuance Think in systems: You naturally refactor, generalise, and leave More ❯

PhD Studentship: Uncertainty quantification for machine learning models of chemical reactivity Location UK Other Closing Date Monday 05 May 2025 Reference SCI3039 In this PhD project, we will develop and implement approaches for estimating the uncertainty in AI predictions of chemical reactivity, to help strengthen the interaction between … human chemists and machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity is, in general, a challenging problem and one for which there is relatively little data, because … we have generated thousands of examples relating to the reactivity of molecules for a specific chemical reaction. This project will evaluate a variety of machine learning algorithms trained on these data and, most crucially, will develop and implement techniques for computing the uncertainty in the prediction. The algorithms More ❯

allow the precise control of cell and gene therapies in response to a diverse range of molecules. Key Responsibilities Develop and refine AI/ML methods for RNA-based control system development. Preparation, processing, cleaning, and annotation of datasets tailored for AI development. Manage the curation of these datasets to … on achieving shared goals with a commitment to high-quality outcomes. Skills Proven track record in the successful development and deployment of AI/ML-based tools. Strong command over Python and major ML frameworks such as Keras, PyTorch, TensorFlow, or Scikit-Learn. Extensive experience in building and implementing predictive … methodical approach to problem-solving. Familiarity with handling and analysing Next-Generation Sequencing (NGS) data. Skilled in using cloud platforms for deploying and managing ML applications. Advanced ML Deployment: Experience in designing and rolling out large-scale machine learning algorithms. Qualifications PhD/MSc (or equivalent professional experience More ❯

Highly competent hands-on experience with relevant Data Engineering technologies, such as Databricks, Spark, Spark API, Python, SQL Server, Scala. Work with data scientists, machine learning engineers and DevOps engineers to develop, develop and deploy machine learning models and algorithms aimed at addressing specific business challenges … organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Self-directed and independent; able to take general guidance and the overarching data strategy and identify … and debugging. Data warehouse operations and tunning experience in schema evolution, indexing, partitioning. Hands-on IaC development experience with Terraform or CloudFormation. Understanding of ML development workflow and knowledge of when and how to use dedicated hardware. Significant experience with Apache Spark or any other distributed data programming frameworks (e.g. More ❯