1 to 25 of 292 Machine Learning Jobs in Glasgow

days ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 6 days ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Glasgow, Scotland, United Kingdom 4 months ago Frontend software engineer (React) - Europe Remote Glasgow, Scotland, United Kingdom $35,000.00-$40,000.00 1 week ago … Engineer III - Full Stack Java/Kafta Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 1 week ago Applied AI/ML Software Engineer III - Risk Technology Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow, Scotland, United Kingdom 2 weeks … ago Glasgow, Scotland, United Kingdom 2 weeks ago Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Glasgow, Scotland, United Kingdom 3 weeks ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 5 days ago Graduate Software Engineer More ❯

relevant position opens. Who are we? The BabbleLabs team, part of Cisco WebEx. We are a dedicated bunch with strong backgrounds in Electrical Engineering, Machine Learning, Speech Processing and Computer Science. Our areas of expertise include speech enhancement, speech recognition, speech synthesis, and computer vision. But what sets … our team apart from the crowd, is our vibrant and unwavering pursuit of excellence Overview: We are seeking a dedicated and innovative Machine Learning expert to join our Audio AI team. As a Speech/Audio Machine Learning Engineer, you will play a crucial role in … developing pioneering audio software solutions, using machine learning techniques to enhance audio processing and analysis. You will work closely with a multidisciplinary team of engineers, data scientists, and audio experts to build groundbreaking products that push the boundaries of audio technology. This is a unique opportunity to contribute More ❯

Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV Join to apply for the Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV role at UNSW Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV 1 week ago Be among the … first 25 applicants Join to apply for the Postdoctoral Fellow in Machine Learning Applications for Utility-Scale PV role at UNSW Get AI-powered advice on this job and more exclusive features. The Opportunity The School of Photovoltaic and Renewable Energy Engineering (SPREE) has an opportunity for a … Postdoctoral Fellow. You will contribute to UNSW’s research efforts in developing machine learning and deep learning algorithms for dynamic systems (sequential or time-series data). Experience in applying these methods to renewable energy (wind or photovoltaic) applications is highly desirable. This Job is based in More ❯

Social network you want to login/join with: Senior Machine Learning Engineer, glasgow col-narrow-left Client: Location: glasgow, 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 ❯

Join to apply for the Python Data Engineer III- Machine Learning role at Latinx in AI (LXAI) 2 days ago Be among the first 25 applicants Join to apply for the Python Data Engineer III- Machine Learning role at Latinx in AI (LXAI) Get AI-powered … objectives. Job Responsibilities Design, develop, and deploy machine learning models to solve complex business problems. Collaborate with cross-functional teams to integrate ML models into production systems. Utilize PyTorch, Scikit-learn, NumPy, and Pandas for data analysis and model development. Develop and maintain APIs for model deployment and … days ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 5 days ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Glasgow, Scotland, United Kingdom 4 months ago Glasgow, Scotland, United Kingdom 1 week ago Software Engineer II- Python and Databricks Glasgow, Scotland, United Kingdom 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 ❯

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 ❯

join with: Job Type: 6 Month Contract + chance for extension Interview Process : Video Interviews held remotely A Private Equity firm are seeking a Machine Learning Engineer to join on an initial 6-month contract to assist in the firms portfolio optimisation, risk management, and predictive modelling. You … won the bid for the project. The end point client operate primarily in an Azure environment hence demonstratable experience in Azure is a must. Machine Learning Engineer Key Responsibilities: Use generative AI to build predictive models for market trends, asset valuation, and investment opportunities. Leverage AI algorithms for … optimal exit strategies. Help in the adoption of AI tools to optimise operations, reduce costs, and drive growth through automation and data-driven insights. Machine Learning Engineer Key Skills Required: Comprehensive understanding of the full machine learning lifecycle, from development to production. Experience deploying machine 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 ❯

through the application of data science and machine learning techniques across Risk, Compliance, Conduct, and Operational Risk. As an Applied AI/ML Engineer on the team, you will have the opportunity to explore intricate business problems and apply advanced algorithms to develop, test, and evaluate AI/… ML applications or models for these challenges. You will leverage the firm's extensive data resources from both internal and external sources using Python, Spark, and AWS, among other systems. You are expected to extract business insights from technical results and effectively communicate them to a non-technical audience. Job … probability, linear algebra, calculus). Data wrangling: understanding complex datasets, cleaning, reshaping, and joining messy datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and More ❯

in the office. *****Paying up to £30,000 basic***** IMPORTANT PLEASE READ - Aiming for candidates to have a START DATE between July & August Graduate Machine Learning Engineer, Artificial Intelligence, Machine Learning, Passion & Enthusiasm , Mathematics, Data Analysis, Python, Git, SQL, BI Tools. An exciting AI company in … 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. Ideal candidates should have a 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 ❯

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 ❯

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 ❯

Social network you want to login/join with: Senior Digital FPGA Engineer - IP/Machine Learning in job available in Cambridge, Cambridgeshire Cambridge based business in the technology hub of the UK Rare opportunity to be part of a leading Machine Learning/AI technology … business Fantastic benefits package and salaries on offer, including hybrid working (3 days on site, 2 at home) A leading machine learning business involved in developing incredible financial industry technology are seeking skilled Senior Digital Design and FPGA Engineers to join their HQ in Cambridge. This company offers … investment into new innovation. As a Senior Digital FPGA Engineer you will develop FPGA's using SystemVerilog. You'll work closely with software and machine learning experts to help build low-latency/high-throughput applications. What skills and experience is required: FPGA Design, development and testing experience 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 ❯

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 ❯

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 ❯

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, glasgow col-narrow-left Client: Location: glasgow, 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 ❯

interaction with the platform. Feature enhancement: Leading efforts in expanding current feature capabilities to boost platform scalability and reliability, optimising for robust user experiences. Machine learning integration: Using the strengths of Machine Learning to develop advanced features that facilitate smarter data processing and extraction. New feature … be ambitious for growth both for yourself and for Estendio and you’ll be someone who truly embodies a growth mindset in embracing challenges, learning in a field which is constantly evolving. Adaptability is one of our key values so you’ll need resilience to cope in a fast … to roll your sleeves up and get on with every part of the work. Great to have Machine Learning & AI: Experience with ML integration, LLM, or OpenAI services. Search & query: Knowledge of ElasticSearch/Lucene query languages. Frameworks: Familiarity with React or Next.js for modern front-end development. More ❯

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As an AI/ML Python Engineer at JPMorgan Chase within the Client Onboarding and KYC Engineering team, your responsibilities will include probing intricate business problems and employing sophisticated algorithms to … design, evaluate, and implement AI/ML applications or models to resolve these issues. You will be required to leverage the company's extensive data assets from both internal and external sources using tools like Python, Spark, and AWS. Additionally, your role will encompass extracting business insights from technical results … probability, linear algebra, calculus). Data wrangling: understanding complex datasets, cleaning, reshaping, and joining messy datasets using Python. Practical expertise and work experience with ML projects, both supervised and unsupervised. Proficient programming skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and More ❯