51 to 56 of 56 Machine Learning Jobs in Edinburgh

currently seeking a Principal Cyber Security Consultant to join a highly awarded solutions leader, providing cloud, data and security services that power AI and Machine Learning Transformation. Ready to take your cybersecurity career to the next level? Join a leading organisation that offers flexible working, real opportunities for More ❯

and delivering data solutions in the Databricks Data Intelligence platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and Spark (Scala or Python). Experience working with relational SQL databases either on premises or in the cloud. … providing exciting opportunities and challenges to generate positive change for our clients. You can expect guaranteed investment in your personal development. We have structured learning paths on a number of platforms including Udemy and not to mention the in-house knowledge that is shared by all of our consultants … Manchester & London. 25 days annual leave (plus bank and public holidays). Birthday day off - celebrate with an extra holiday. Career progress programme - guaranteed learning and development investment and your own career coach. Life insurance. Private medical health insurance. Contributory pension. Health and wellbeing group. And many more. If More ❯

Alexa Edge AI team under Alexa Ambient Computing Tech Organization is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision, speech and multimodal perception models for various edge applications. Key job responsibilities As an … speech) based applications for devices like Echo Show series within Amazon. BASIC QUALIFICATIONS - PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience - 1+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience developing and … implementing deep learning algorithms, particularly with respect to computer vision algorithms PREFERRED QUALIFICATIONS - Experience in Vision Language Models, Audio-Video fusion and multi-modal LLMs - Experience with optimizing computer vision models for on-device deployment (pruning, quantization, distillation, etc.) - Effective verbal and written communication skills with non-technical and More ❯

class embedded development workflows that improve developer productivity for firmware, compilers, debuggers, middleware integration, and system configuration. Additionally, you will help integrate AI/ML technologies into embedded tooling to enhance debugging, profiling, optimization, and automation. Key Responsibilities Define and drive the architecture, design, and roadmap of embedded software development … . Work closely with hardware IP teams to define and implement developer-friendly toolchains for mixed-signal, heterogeneous embedded devices. Help integrate AI/ML capabilities by supporting the development of an AI toolchain for ADI's embedded hardware, enabling seamless model compilation, optimization, and deployment. Evaluate and enhance embedded … C++, Python , with experience in firmware and low-level software development. Understanding of embedded toolchains (LLVM, GCC, binutils, Clang, GDB, IAR). AI/ML experience applied to software tooling , such as AI-assisted debugging, performance optimization, or automation. Experience with build systems (CMake, Make, Ninja) and source control best More ❯

Testing, Terraform, Docker, MongoDB, PostgreSQL You will be working for an exciting EdTech startp of which, has an ambition to revolutionise education by harnessing ML powered tutoring. They are looking for someone that has real passion for what they do and doesn't just see it as a job. They … and testing pipelines to support system stability. Research and make decisions about the technological stack and system design, considering all trade-offs. Work on ML model development Analyse large amounts of data and build real-time systems. Scale backend and web frontend development teams. Work in a very cross-functional … team, side by side with mobile developers, product managers, ML engineers, and designers. Skills & Experience required: Build high-load applications from scratch. Deep knowledge of AWS. Architecture planning Estimation skills Clean code practices. Architecture scalability and simplicity. CI/CD automation pipelines. Proficiency with Terraform and Docker. Ability in resolving More ❯

significantly impacts route plan and stop plan efficiencies. Several of these problems require us to build systems that can work with an ensemble of ML models as well as support the right segmentation of inputs to make good estimates on the outputs. There are several unsolved or partially solved problems … is multi-faceted. We build low-latency, highly-available services, we build big data processing pipelines to refresh or produce new data, we train ML models, and we run science experiments. We also build solutions for these capabilities, ranging from state-of-the-art ML platforms to modeling, storing, vending … engineering best practices. A day in the life - Collaborate with engineering and science teams on building state-of-the-art scalable, big data pipelines, ML training and inference solutions, high-availability services with low latencies. - Analyze nuanced metrics to understand system behavior and innovate on solutions to optimize our success More ❯