101 to 125 of 297 Machine Learning Jobs in the South East

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. Responsibilities: Develop and own robust … enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other … identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Collaborate with data scientists more »

AI/ML Researcher Up to £50,000 Reading - 50% Remote My Client is one of the market leaders in the Automotive space and are looking for a AI/ML Researcher to join the team to play a pivotal role in enhancing their AI capabilities. Your main responsibility will … senior researcher and other teams to integrate AI approaches into various research domains Take responsibility for the application of data science and AI/ML methods. Effectively communicate complex AI concepts and findings to stakeholders Conduct research on the technical and economic landscape Attend conferences, workshops, seminars, and visit suppliers … What you need to succeed: Degree in Computer Science, AI, Mathematics, or an equivalent discipline. Demonstrate experience in AI/ML research and development within an industry setting. Possess a strong foundational knowledge of AI, ML, and data science principles, including signal/pattern recognition, classification techniques, and deep neural more »

Scientist to join our growing teams and support a variety of customers:Detailed knowledge on a range of AI techniques (e.g. supervised and unsupervised machine learning techniques, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.)Experience using Python, R more »

in Reading Maclean Moore are working with our global consultancy client to find an AI Security Architect to Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. Responsibilities: Develop and own robust … enterprise security architecture for AI/ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other … identifying vulnerabilities, threats, and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Define and enforce robust more »

with quantitative analysts to understand,implement, and optimize mathematical models that drive trading strategies.• Experience with Machine Learning and Artificial Intelligence including ML and AItechniques to develop predictive models and enhance algorithmic strategies. Familiaritywith libraries and frameworks like TensorFlow, PyTorch, or Scikit-Learn can be particularlyuseful.• Knowledge of more »

Job DescriptionWe are looking for a goal oriented and driven AI/ML Engineers with relevant experiences.Key Responsibilities:Neural Network Training: Develop and train advanced neural network models to meet specific functional requirements.Deployment and Integration: Efficiently deploy these neural networks on servers, ensuring optimal performance and scalability.API Development: Create robust … the models and the platform based on user feedback and evolving technological trends.Skills and Qualifications:Minimum 2 years of experience in building AI/ML software.Strong expertise in machine learning and neural network algorithms.Proficient in programming languages like Python, and frameworks such as TensorFlow or PyTorch.Experience with server more »

business growth and solve complex challenges. They are seeking an experienced Lead Data Scientist with experience in leading, designing and delivering data & AI/ML products, preferably in the Insurance sector. As a Lead Data Scientist, you will lead advanced analytics and ML projects, leveraging the power of Azure tools … with a strong track record of leading and delivering advanced data science projects. Programming languages such as Python or R, and extensive experience with ML algorithms and Models. (Regression, Tree based, Unsupervised, NLP, open-source models). Experience with other Azure cloud services like Azure ML studio, Azure functions, Azure … Pipelines, Mlflow, Promptflow, Azure OpenAI, Azure Synapse Analytics, etc., is a plus. Knowledge Graphs and LLM’s is advantageous. Machine learning algorithms and frameworks (e.g., TensorFlow, Keras, PyTorch). Version control systems (e.g., Git) and CI/CD practices. Ability to lead and mentor data science teams, driving more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

across the organization.Policy and Standards Development: Design and implement guardrails, policies, standards, and best practices for AI development, ensuring ethical use and consistency.Fostering a Learning Culture: Encourage a culture of continuous learning and innovation around AI technology and engineering principles within the team.Project & Product Management: Ensure that the … every member feel they are part of something bigger than themselves.Skills and qualificationsComputer Science, Engineering, Mathematics, or related field of education.Expertise in AI and machine learning technologies with proficiency in Microsoft Azure offerings such as OpenAI.Strong programming skills in Python, R, C#, or similar, with experience in cloud more »

reliability.Manage cloud-based data services, balancing performance and cost across storage and compute capabilities.Mentor and guide junior data engineers, fostering a culture of continuous learning and growth.Stay up-to-date with the latest data engineering technologies, tools, and best practices.Qualifications:Bachelor's degree in Computer Science, Engineering, or a … implementation.Bonuses:Data Engineering Certification.Expertise in designing and optimizing SQL and NoSQL databases.Familiarity with stream processing technologies.Deep understanding of data architecture considerations.Experience deploying AI or machine learning models into production.If of interest, please send your CV now to apply more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

Learn more about our culture here.[Link to careers page.] Why become an Oxbot? Our team of experts in computer science, AI, robotics and machine learning is world-class, and together they’re solving the most exciting and important technological challenges of our times. But as well as more »

and the ability to drive innovation with autonomy and exceptional technical acumen. The ideal candidate will be a visionary in the Artificial Intelligence and Machine Learning landscape, adept at identifying and capitalizing on emerging trends to shape our strategic direction. Core Responsibilities : Serve as a thought leader in … junior engineers to enhance their technical skills, fostering a culture of continuous learning and professional growth. Collaborate closely with cross-functional teams , including ML Engineers, Data Scientists, and Product Managers, to architect, refine, and deploy sophisticated AI solutions. Act as an ambassador of innovation , delivering keynote speeches, hosting webinars … years’ experience as an engineer, designing and executing large-scale solutions in cloud environments, ensuring seamless integration with legacy systems. S trong AI and ML principles , with a track record of model development, deployment, and mastery of MLOps practices. Experienced in crafting enterprise-scale cloud-native AI/ML solutions more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … for the RolePython: Proficiency in Python and Python unit testing + 5 yearsMLOps: Experience with machine learning operations, including training and deploying ML models.Automated Testing Frameworks: Knowledge of frameworks that contribute to continuous integration pipelines.Container Technologies: Experience with tools such as Docker.Desktop Application Development: Familiarity with developing and … modern software engineering and DevOps practices.Passionate about performance and reliability, with a focus on code quality and testing.Ready to lead initiatives to improve the ML framework's reliability and performance across various hardware and OS configurations.Experienced in a cloud setting but eager to apply skills to enable training and running more »

Job DescriptionThe ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. ResponsibilitiesAnalyze raw data: assessing quality, cleansing, structuring for … Statistics, Mathematics, Computer Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and more »

My client who is utilising Machine Learning and Artificial Intelligence to detect life-threatening illnesses faster, is looking for a Senior Software Engineer. The current technology they are developing aims to help doctors and hospitals. This Senior Software Engineer role is in Oxford with hybrid working, paying up more »

Lead Data Scientist in the Financial Services with experience in..... Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs Python, Pyspark, Azure, Agile, MetaBase, then please apply. You can 📧 your cv to matt@hawksworthuk.com or message me on LinkedIn. Ideally more »

results into valuable insights for our customersCollaborative Innovation: Work closely with our skilled algorithm engineers, translating conceptual ideas and theoretical knowledge of statistics and machine learning into well-structured solution definitions.Quality Assurance: Meticulously test and refine models to ensure they adhere to the highest standards of reliability and … clear guidance for both internal teams and clients.Knowledge Exchange: Engage in thought-provoking discussions with other subject matter experts, fostering a culture of continuous learning and innovation.A Day in the Life of a Forecasting Analyst at GorillaImagine starting your day diving into the latest energy market trends, extracting key … pace, you can leave your mark - growing alongside Gorilla.We actively challenge ourselves and our colleagues, to always improve our skills, methodologies, and capabilities. Lifelong learning is essentially embedded in our organization, and we care about your dreams and ambitions, beyond just work.On top of that, our remuneration approach is more »

on the backend; you'll be working within a microservices environment with CI/CD and collaborating with backend software engineers on AI and Machine Learning elements of the product.There's continual learning and self-development opportunities within a collaborative team environment.Location/WFH:You'll join … software development lifecycle through to testingYou have a good appreciation of UI/UXYou're collaborative, motivated and keen to progress your career, continually learning with a results driven mindsetWhat's in it for you: As a JavaScript Developer you will earn a competitive package:Salary to £80k25 days more »

London.)Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps.ResponsibilitiesDesign and implement both Data Pipelines for both structured and unstructured data.Support and improve ML infrastructure – particularly Azure ML.Contribute to MLOps across … pipelines in a cloud (preferably Azure) environmentTDD & CI/CD experienceContainerisation experience (Docker, Kubernetes, etc.)MongoDB (or NoSQL) experienceTerraform experiencePrevious experience in managing the ML lifecycle with MLFlow more »

infrastructure for the organisation alongside data pipelines & ETLs.Collaborate with data scientists and machine learning engineers to design and implement scalable and efficient ML-based solutions.Coach and mentor your junior team members.REQUIREMENTSBSc/MSc/PhD degree in Computer Science or STEM subjectDemonstratable commercial experience working on Data Pipelines more »

and growing AdTech company as they expand into European markets (they dominate the UK market with a 90% market share) with their AI and Machine Learning driven SaaS platform.As a Senior Full Stack Developer you'll have a range of interesting projects to work on, with roughly a … having achieved a 2.1 or above in Computer Science or similar technical disciplineWhat's in it for you: Salary to £85kPensionHealth Insurance25 days holidayContinual learning and career development opportunitiesApply now to find out more about this Senior Full Stack Developer/Engineer (React TypeScript C#) opportunity.At Client Server we more »

life cycle right through to production2.1 degree form a Top University in a relevant fieldAlgorithmic development backgroundStrong problem solvingSoftware Engineer - Nice to HaveExperience with Machine Learning (Computer Vision preferred)Cloud technologies (GCP/AWS/Azure)Knowledge of 3D modelling/3D Computer Vision/BlenderInterested in the more »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »

skills DV Clearance is required for this role Desirable Skills and Experience: Experience with other programming languages such as Python or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of signal processing techniques Benefits: This more »