26 to 34 of 34 Machine Learning Jobs in East Anglia

from bare-metal servers to cloud abstractions — and motivated to understand how each layer fits together. Naturally inquisitive and eager to dive deep into new technologies; you thrive on learning as you go. Prior experience with on-call rotations and incident response is a plus. Familiarity with OpenTelemetry and related observability tooling is advantageous. We encourage you to apply … application. We are always open to conversations and look forward to hearing from you. Who we are: Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. We work with an amazing mix of global companies, and our technology can integrate into our customers stack irrespective More ❯

About White Fire Technologies White Fire Technologies is a UK-based EdTech and IT services organisation focused on bridging the gap between academic learning and real-world industry needs. We deliver high-quality technology training, career-oriented programmes, and live project experiences to help learners and young professionals develop practical, job-ready skills. About the Internship We are offering … learn essential tools and technologies, and contribute to meaningful outcomes across departments. Available Internship Domains You can apply for any one of the following tracks: Data Science Artificial Intelligence & Machine Learning Cybersecurity Cloud Computing Web Development Responsibilities Participate in live and recorded training sessions led by industry mentors. Work on assigned projects to apply theoretical knowledge practically. Collaborate … execution depending on your track. Requirements Currently pursuing or recently completed a Bachelor's/Master's degree in Computer Science, IT, Engineering, Business, or related field. Passionate about learning and adapting to new technologies. Good communication and problem-solving skills. Basic technical or domain knowledge (training support provided). What You'll Gain Internship Certificate from White Fire More ❯

environments such as Azure. Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with More ❯

leading technology company, based in Cambridge. As a Senior Software Engineer, you will be responsible for developing and enhancing AI features within their engineering tools, applying advanced AI and machine learning methods to solve complex technical challenges. You will also have the opportunity to guide and educate team members on best AI practices, evaluate algorithms, document results, and … reviews and testing. This is an on-site role. Experience of the Senior Software Engineer will include: PhD in a STEM discipline Strong C++ development Knowledge of AI/ML concepts and frameworks If you are a Senior Software Engineer interested in working for a Fortune 100 organisation, please apply today to learn more. More ❯

driving innovation. Education: Bachelors or Masters in Engineering or related field (or equivalent experience). Nice to Have: Background in the mission critical communications sector Experience integrating AI/ML into communication platforms More ❯

We are looking for a Tech lead who has strong experience insoftware engineering, data engineering,andcloud engineering, with recent leadership in Gen AI and ML solution delivery. Description Accountabilities Collaborate with product teams: Provide technical direction and support for Gen AI solutions across cross-functional groups. Own Gen AI product vision: Define and communicate the technical vision, ensuring solutions meet … data pipelines and Gen AI solutions. Essential Skills/Experience: 10+ years of experience in software engineering, data engineering, and cloud engineering, with recent leadership in Gen AI and ML solution delivery Deep technical mastery in data engineering, software engineering, and cloud platforms, combined with advanced knowledge of Generative AI systems and frameworks. Expertise in AI engineering principles, including MLOps … development experience: backend (Node.js, Python), frontend (ReactJS) Demonstrated experience designing and implementing Generative AI solutions (chatbots, digital assistants, content generation, etc.) Hands-on implementation and operation of AI/ML models with services like Amazon SageMaker Advanced proficiency in Python and related AI/ML productivity libraries Expertise in SQL and NoSQL database technologies Skills Python AWS Gen AI Job More ❯

APIs. A deep understanding of GPU architectures and the workloads GPUs are likely to see, and thus what characteristics are important, in different scenarios such as gaming, XR, and machine learning. You combine the above with a good C++ development experience and know your way around tools, such as version control systems. You are self-motivated and ambitious, and More ❯

tracing). Hands-on experience with one or more of OpenGL ES, Vulkan, DirectX, or Metal APIs. A deep understanding of GPU architectures and workloads, including gaming, XR, and machine learning. Excellent C++ development skills and familiarity with version control systems. Self-motivation, ambition, and the ability to work collaboratively in a team environment. A BSc, MSc, or PhD More ❯

Engineering and Product teams to align solution design with platform capabilities and product roadmap. Implementation Oversight: Guide architectural decisions through implementation and user acceptance testing to ensure success. Continuous Learning: Stay ahead of the curve on AI, LLMs, agentic frameworks, and related tech—and bring those insights into your designs. Key Skills: 8+ years in technical roles (Solution Architect … Enterprise Architect, or Senior Engineer). 3+ years in a client-facing, consultative role. Deep knowledge of microservices, distributed systems, and event-driven architectures. Strong foundation in AI/ML, especially LLMs, RAG , and vector databases (e.g. Pinecone, Weaviate). Experience with enterprise data integration (e.g. PostgreSQL, SharePoint, APIs, warehouses). Cloud architecture experience (AWS, Azure, or GCP). Proficiency More ❯