1 to 25 of 29 Machine Learning Jobs in Reading

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 ❯

play a crucial role in maturing and scaling our machine learning infrastructure and processes, ensuring the reliability, scalability, and performance of our ML models in production. This role requires a strong background in MLOps principles, cloud technologies (AWS), and a passion for building robust and efficient systems. You … will collaborate closely with data scientists, engineers, and product teams to deliver high-quality ML solutions that directly impact our business. The mission of the Data Science Team is critical for the continuous development and success of our product, understanding the needs of our customers and partners, and maintaining DailyPay … management of machine learning models. How You Will Make an Impact: Design and Implement MLOps Solutions: Design and implement scalable and efficient ML pipelines and workflows, encompassing model training, deployment, monitoring, and retraining. Contribute to the development and implementation of MLOps best practices Cloud Infrastructure Management: Manage and More ❯

Job Title: Machine Learning & Data Scientist Location: Reading, UK (Hybrid) Salary: Up to £80,000 per annum About Us: We are dedicated to enhancing the global growth and resilience of renewable energy transmission by delivering intelligent, autonomous robotic monitoring solutions for high-voltage assets. Our mission focuses on … supporting power transmission operators worldwide with advanced technologies. Role Overview: We are seeking a Machine Learning & Data Scientist to join our dynamic team. The ideal candidate will have experience in developing multimodal models and a background in condition monitoring, particularly concerning high-voltage assets. This role offers the … opportunity to contribute significantly to the development of AI-powered analytics for autonomous robotic systems. Key Responsibilities: Develop and implement machine learning algorithms, focusing on multimodal data integration. Design and deploy predictive models for condition monitoring of high-voltage assets. Collaborate with cross-functional teams to integrate AI More ❯

Senior ML Engineer - Python/Serverless ML Pipelines (AWS Lambda) - Fully Remote (Northern Ireland-based candidates encouraged) Salary: £100k+ market-leading benefits package About the Company: Our client is a rapidly scaling, VC-backed technology company focused on cloud cost optimization and FinOps solutions for enterprises and MSPs operating across … cloud environments. With over a decade of experience and recent strategic acquisitions, they are evolving into a product-led platform business - leveraging AI/ML insights, structured cost data, and seamless integrations to drive cloud ROI. A proud member of the FinOps Foundation, the company is at the forefront of … talent to unlock the next phase of intelligent automation and cost intelligence. The Role: As one of the first UK/Northern Ireland ML engineering hires, this is a rare opportunity to shape both the technical foundation and future team culture. You'll be a core member of a More ❯

sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of solutions for complex client challenges … defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data … expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. More ❯

having the knowledge to code directly to underlying models when required. The role will allow you to develop your skills in areas such as machine learning, cognitive services, and cloud-based AI operations. The successful candidate will work within a wider development team to create innovative AI enabled … secure, and able to meet the demands placed upon them. Key responsibilities include: Designing and implementing AI solutions using Azure AI services, including Azure Machine Learning, Cognitive Services, and Bot Services Developing and maintaining scalable and secure cloud-based applications on the Azure, Power and wider Microsoft More ❯

of their growth. This is a great opportunity to join a forward-thinking company working with modern technologies - including the latest in AI and machine learning - in a fast-moving industry. What's in it for you? Competitive Salary Employer pension contributions Employee Benefits Program (after probation) Hybrid … development Experience with front-end technologies such as JavaScript, Angular, or React Knowledge of microservices architecture & API development A genuine interest in AI and machine learning technologies Strong problem-solving and debugging skills Bonus Skills (Desirable, but not essential) Experience with Azure DevOps & CI/CD pipelines Strong More ❯

AI Engineer - 60,000 - Remote My client, a Microsoft partner, is looking for a AI/ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI … technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience More ❯

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI … technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience More ❯

What Will Give You A Competitive Edge (Preferred Qualifications): Masters degree in a technical discipline Exposure to aerodynamics engineering Advanced knowledge of Artificial Intelligence & Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar More ❯

achieve product/technology goals and KPIs. Actively contribute to critical projects by developing key modules, core frameworks and automation tools. Leverage AI/ML technologies in bringing productivity across the SDLC phases and develop innovative business solutions and products. Establish engineering best practices for application development, testing, deployment and More ❯

C++/Java/Python/R. Use of code configuration management toolsets. Knowledge of one or more of the following: Artificial Intelligence and Machine Learning methodologies and tools. Simulation tools and methods relevant to supply chain modelling. Real time data collection and processing techniques relevant to supply More ❯

CircleCI or similar. Strong communication and mentorship skills you lead, guide, and elevate those around you. Bonus if youve dabbled in Go, GraphQL, or machine learning integrations. Whats on Offer £80,000 £100,000 base salary Fully remote working (UK-based) with flexible hours 36 days total annual More ❯

including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. Youll More ❯

complex information clearly and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management More ❯

complex information clearly and concisely to various audiences. Understanding and experience with Data Science, including development and implementation of advanced analytics models, such as machine learning and statistical models Knowledge of Palantir Foundry and its data integration and analytics capabilities Understanding of how to present metrics and management More ❯

insightful pre-race planning, split-second identification of pivotal strategy inflection points during live race events. What You’ll Do Evolve existing AI/ML models for application in Sportscars: refining existing python code-base where appropriate and reimagining where necessary. Develop platform for running and interrogating Mote Carlo free … Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate processes and refine models. Transfer learning and approaches between the series in which GM Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s … models and performing analysis to drive strategy decisions during live race events. Proficient programing in Python, MATLAB, or similar language. Familiarity with AI/ML modeling techniques and methods being developed and applied across industry. Strong organization skills, forward thinking mentality, and a superb attention to detail. Well-developed interpersonal More ❯

Required Qualifications In computer science, engineering, analytics, mathematics, statistics, IT, or equivalent. Familiarity and comfort with Python, SQL, Docker, and Shell scripting. Java preferred but not necessary. Preferred Qualifications Experience with AWS technologies like Redshift and extracting value from large More ❯

significant autonomy, allowing you to shape your own path and make impactful decisions with direct access to a senior leadership team who value continuous learning and will provide the freedom to explore new ideas and grow your skills. About the person: The successful candidate must have, and your application … data visualisation* Demonstrable experience in data analytics* Knowledge of systems integration including the use of automation tools such as the Power Platform* Understanding of Machine Learning and AI technologies. * * = May be demonstrated through the completion of a module, student project or placement. Applicants should indicate how their experience More ❯

software delivery. Key Points The product is built today with PHP (Laravel) and Vue.js on the front end, with Python used for AI and Machine Learning components. High-Autonomy, low bureaucracy engineering culture Share Options available Salary Up to £70,000 depending on experience. To speak in absolute More ❯

is dedicated to creating innovative energy solutions. Our mission is to eliminate all wasted energy in buildings, significantly reducing global carbon emissions. By combining machine learning technology with behavioural change, we automate the process of finding and removing energy waste at scale. Our solution eliminates 30-50% of More ❯

Experience with drone navigation systems, autonomous flight, and landing algorithms is a plus. Understanding of cooperative radar networks for multi-agent systems. Experience with machine learning techniques for sensor data processing and decision-making. Knowledge of the latest advancements in radar technology and software development practices. Knowledge in More ❯

as python or R.* Relevant experience developing business intelligence solutions using tools such as Microsoft Power BI orsimilar.* Relevant experience in predictive analytics and machine learning.* Relevant experience in data management, including data storage and integration.* *may be demonstrated through the completion of a module, student project or placement. More ❯

cost savings. Champion cloud-native solutions, such as serverless computing, containerization, and microservices. Cultivate a learning environment around emerging technologies like AI/ML, IoT, and edge computing within the cloud landscape. Cloud Automation & Tools Advocate for automation, DevOps practices, and Infrastructure as Code (IaC) to streamline cloud operations. … professionals, including architects, security experts, and engineers. Mentor and guide teams on cloud best practices, tools, and platforms. Foster an environment of accountability, continuous learning, and innovation. Vendor & Stakeholder Collaboration Work with external cloud providers (AWS, Azure, GCP) and other partners to maximize business value from cloud investments. Communicate … Expert, Google Cloud Architect). Experience in cloud-native design, serverless computing, and container orchestration (Docker, Kubernetes). Familiarity with data lakes, AI/ML infrastructure, and analytics in cloud environments. Knowledge of cloud security and compliance standards (e.g., ISO, SOC, GDPR) and cost management practices. For more information, please More ❯

the business has made a deliberate shift from bespoke cloud tooling to a productized cloud ROI platform - driven by structured cost data, AI/ML insights, and seamless integrations. Our client is a proud member of the FinOps Foundation and a key player in emerging BillOps trends. They're building … cost intelligence platforms * Familiarity with Snowflake, Airflow, DBT, or other data platform technologies * Background in data-centric product development or FinOps tooling * Exposure to ML-powered querying, analytics, or optimization * Experience in scaling microservices across hybrid/multi-cloud environments Why Join: * Be one of the first strategic hire in More ❯