13 of 13 Machine Learning Jobs in Newport

Job Title : Lead Data & Machine Learning Architect Location : Yate (On-Site 2 Days Per Week) Salary : Up to £60,000 (Depending on Experience) Overview of Business: This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets. We are seeking a highly skilled Lead … Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation. Key Responsibilities: Data Architecture Schema & Model Ownership: Design, implement … Maintenance: Establish retraining workflows and manage model updates as systems and data evolve. Cross-functional Collaboration Project Engagement: Work closely with project managers and stakeholders to align data and ML capabilities with new features and strategic initiatives. Requirements Gathering: Collaborate with business teams to define clear, actionable requirements for data pipelines, storage solutions, and ML workflows. If you are interested More ❯

What You'll Be Doing You are engineering-focused, with a keen interest and working knowledge of operationalised machine learning. You have a desire to take cutting-edge ML applications into the real world. You will develop new methodologies and champion best practices for managing AI systems deployed at scale, with regard to technical, ethical and practical requirements. You … will support both technical, and non-technical stakeholders, to deploy ML to solve real-world problems. Our Machine Learning Engineers are responsible for the engineering aspects of our customer delivery projects. As a Machine Learning Engineer, you’ll be essential to helping us achieve that goal by: Building software and infrastructure that leverages Machine Learning; Creating reusable, scalable tools to enable better delivery of ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies; and Implementing and developing the companies view on what it means to operationalise ML software. As a rapidly growing organisation, roles are dynamic and subject to More ❯

can transform client delivery, knowledge management, and operational excellence across a global firm. 💡 Why this role? Work directly with data scientists and AI engineers on enterprise-scale AI and machine learning products. Build production-ready applications that leverage Generative AI and Large Language Models (LLMs) . Hybrid flexibility: 3 days per week in either London, Cambridge, or Bristol … based solutions and managing DevOps processes for seamless deployment. Working in an agile team , contributing to sprints, backlog refinement, and continuous improvement. Staying up to date with AI/ML and LLM trends to bring innovative ideas into production. Ensuring code quality through testing, documentation, and peer review. 🎯 What we’re looking for: 4+ years’ experience building enterprise-grade applications. More ❯

C++). •Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows. •Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions. •Optimise system performance and reliability for high-volume data operations across distributed environments. •Implement secure, compliant and scalable data access layers … Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. •Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). •Knowledge of More ❯

Apache Spark Implement ETL/ELT workflows to extract, transform and load large-scale datasets efficiently Develop and optimize Python-based applications for data ingestion Collaborate on development of machine learning models Ensure data quality, integrity, and performance across distributed environments Contribute to the design of data architectures, storage strategies, and processing frameworks Work with cloud data platforms More ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation's coding team, you'll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you'll work closely with More ❯

development. As a member of DataAnnotation s coding team, you ll be part of a growing community of over 100,000 professionals including front-end, back-end, full-stack, machine learning, and other engineers who are driving real-world impact in AI development. Our platform offers an engaging blend of flexibility and challenge: you ll work closely with More ❯

get involved in some awesome tech projects. This is an exciting and rewarding opportunity working with cutting-edge cloud technologies, modern delivery processes, and innovative projects involving AI and ML which provides a dynamic and stimulating work environment. Collaborating with experts in their respective fields enabling you to learn and make valuable contributions to ground breaking projects. My client offers More ❯

Our team is growing, and we’d love for you to be part of the journey. Role Summary You’ll play a key part in supporting our product team — learning the product inside out, assisting with configuration and administration, and helping to deliver high-quality outcomes for our customers in the rail industry. The role would suit someone technically … internal needs. Carry out proactive tasks to assist customers and monitor the performance of our product. Assist the product team in completing validation and ground truth exercises of our machine learning models and positioning data. Personal Qualities and Experience Essential A collaborative, positive & flexible approach. The ability to learn quickly and accurately communicate detailed technical information. Strong interpersonal More ❯

Build and edit operational workflows, including front ends and decision-support toolsets, inclusive of native Palantir tooling and integrated front ends Collaborate with team members to implement AI and machine learning models against user problems Close working with clients, building deep and sustainable relationships that positions you/us as their “trusted advisor” You will be part of More ❯

autonomy, variety, and solving complex technical problems You’ll be surrounded by experts, but expected to be self-sufficient. This is a role for engineers who want freedom, fast learning, and real engineering responsibility, not hand-holding. Ideal Background Strong C/C++ development experience in embedded environments Confident working with Linux, ideally in Yocto-based systems Some exposure … to low-level systems (drivers, kernel, bootloaders) Comfort with hardware-focused debugging and problem-solving Bonus: experience with imaging, video, or camera-based systems Bonus: exposure to AI/machine learning on embedded platforms What’s In It For You 💷 Up to £70,000 base salary 🎯 Annual bonus and equity scheme 🏖️ 22 days holiday + 8 bank holidays … hours and office days 🧠 Work alongside top engineers on seriously cool products 📈 High-growth environment with lots of autonomy and ownership If you’re an embedded engineer who loves learning and wants to work on cutting-edge real-world products, this is your chance. More ❯

and thought leadership. Requirements: A strong legal background and experience in working within a law firm or legal environment. Expert knowledge of legal technology solutions (document automation, AI/ML, workflow or no-code tools). Demonstrable experience in improving legal processes through technology. Collaborative, client-focused, and the ability to autonomously lead workshops or innovation projects. Excellent communicaton skills … is an excellent opportunity to drive the adoption of the latest legal tech and tools at a renowned law firm. If you match the requirements and are interested in learning more, please apply for a quick chat. Please note, visa sponsorship is not available for this position and the above requirements are essential. Applications will be unsuccessful if they More ❯