14 of 14 Remote Machine Learning Jobs in Ipswich

learning - deep understanding of algorithms, methods, and their practical applications SQL and database operations for data manipulation and analysis Modern AI/ML (Highly Valued) Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases) Understanding of MLOps practices and model deployment workflows Knowledge of modern frameworks (TensorFlow … training experience Professional certifications in data science or machine learning Compensation Task-based compensation. Application Process Please submit: CV/Resume highlighting ML research or engineering background Domain knowledge test Python test Interview ...

Engineer (ASR & NLP) We're supporting a growing AI Product building advanced speech tools. They need a hands-on strategic Senior or Lead ML Engineer with expert Automatic Speech Recognition (ASR) experience to modernise core voice architecture and bring next-gen speech products to life. This role suits someone … complex ASR data formatting (e.g. alphanumerics, voice-specific cases) Influence roadmap and product vision What We're Looking For Senior, Principal or Lead level ML Engineer Expert in Automatic Speech Recognition & Natural Language Processing Experience in enterprise-grade voice/speech products Skilled in model optimisation, multilingual pipelines & data handling ...

Python ecosystem with modern web technologies Partner with Product and UX to translate user feedback and requirements into technical solutions, shipping iteratively and learning from real-world usage Mentor and collaborate with other engineers on the team, sharing expertise in desktop development and modern JavaScript tooling Contribute to cross … flourish What Will Make You Stand Out Experience integrating Python environment tools like Conda/Mamba into desktop apps Familiarity with AI/ML workflows and tools like llama.cpp, OpenAI SDK, or LanceDB Knowledge of DevOps practices, containerization (e.g., Docker, Kubernetes), and CI/CD tools Experience with OS-Native ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Key Responsibilities: Develop complex, original question-and-answer pairs based on advanced topics ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Key Responsibilities: Develop complex, original question-and-answer pairs based on advanced topics ...

benchmark code for performance and reproducibility. Provide structured, detailed feedback on solution quality and design clarity. Requirements Strong experience as a backend software engineer, ML engineer, or applied data scientist. Degree in Software Engineering, Computer Science, or a related discipline. Advanced proficiency in Python programming and debugging. Strong skills ...

scipy, sympy, scikit-learn, torch, tensorflow. Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. ...

from signal and evaluate information quickly Focus on business value rather than building tech for the sake of it Bonus points for AI or ML production experience including MLOps and model deployment Go, Docker, Kubernetes, infra as code Experience with healthcare standards such as FHIR, HL7 and DICOM What ...

tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing ...

Applicants from AUSNZ or LATAM regions: U.S. educational background not required, but project management experience is essential Strong backgrounds in Software & Technology, Computer Science, Machine Learning, AI or related fields are especially valued Passion for mentorship, leadership development, and education innovation The Role: Capstone Mentor As a Capstone … paced environment Make a real impact on students' futures Enjoy global reach with the flexibility of remote work Use cutting-edge technology to empower learning ...

Join a specialized project focused on enhancing machine learning models through detailed video content analysis. This role is ideal for experienced video editors who excel at interpreting and describing visual media with accuracy and clarity. You will be responsible for watching short video clips and crafting comprehensive captions ...

consumers and enterprises. The company develops best-in-class solutions that analyze, optimize and monetize OTT application traffic going through the networks. With contextual machine learning-based insights and real-time actions, AppLogic Networks has become a global leader in Application Quality of Experience (QoE). As part ...

Training support will be provided) Analyze large, complex datasets to identify patterns and generate actionable insights. Build high-performing predictive models, statistical analyses, and ML pipelines across varied data types. Design and implement rigorous experiment frameworks and validation strategies. Automate workflows, feature pipelines, and reproducible research environments. Conduct exploratory data … analysis, hypothesis testing, and interpret modeling outcomes. Collaborate with ML engineers and research teams to productionize models at scale. Present findings through clear documentation, dashboards, and reports. Requirements Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven ...

into practical applications Build infrastructure to support large-scale research experiments when needed Apply knowledge of model fine-tuning, optimization techniques, distillation, and other ML engineering practices to support research goals Cross-Functional Collaboration Work closely with ML engineers, data scientists, and product teams to translate research insights into practical … emerging research directions Communicate complex technical concepts to diverse stakeholders What You'll Bring 5+ years of engineering experience with significant AI/ML focus Demonstrated research experience through publications, open-source contributions, or impactful projects Strong engineering fundamentals and experience implementing AI systems in production environments Deep knowledge ...