coffee machine engineer jobs in Sefton

A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. What...

Machine Learning Engineer - AI Data Trainer Alignerr, Edinburgh, Scotland, United Kingdom – Hourly Contract (10–40 hours/week) – Remote. Pay: $50–$70 per hour. About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. This initiative focuses on recording how an AI reasons and executes actions sequentially to handle...

You will deploy and harden machine learning components in real-world energy and industrial environments. This role bridges the gap between research and production by operationalising physics-informed and deep learning models under real-world constraints.

You will ensure the robustness, stability, and explainability of AI systems within complex physical infrastructure and field environments.

Machine Learning Engineer - AI Data Trainer – Alignerr (Remote) Base pay range: $50.00/hr - $70.00/hr About The Job At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge AI models. This project captures how an LLM reasons and takes actions step by step to solve real tasks. Annotators write clear, structured traces that show planning, tool...

You will define and execute the ML technical strategy for Search, building the next generation of Spotify’s recommendation systems, user representations, and supporting technical architecture. Join us and you’ll help millions of users discover and connect with the world’s audio content every day.

You will shape the core technical direction of A1 – model selection, training strategy, infrastructure, and long‑term architecture.

You will have full autonomy to experiment with frontier models (LLaMA, Mistral, Qwen, Claude‑compatible architectures) and build new approaches where existing ones fall short.

You will work at the intersection of engineering and data science—transforming experimental models into high‑quality, scalable prototypes, shaping technical architecture, and ensuring robust deployment, testing, and documentation.

You will use your knowledge of Agentic approaches for code generation and software engineering best practices to design and develop these capabilities - leveraging state-of-the-art LLM coding frameworks and endowing them with the tools and guardrails needed to reliably build and test automated workflows.

You will deploy and harden machine learning components in real‑world energy and industrial environments. This role bridges the gap between research and production by operationalising physics‑informed and deep learning models under real‑world constraints.

You will ensure the robustness, stability, and explainability of AI systems within complex physical infrastructure and field environments.

You will receive preparation materials for the round and more information on how to prepare. ⏳ We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out and you should expect to hear back from us within one to two weeks of applying.

You will receive preparation materials for the round and more information on how to prepare. We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out and you should expect to hear back from us within one to two weeks of applying.

You will play a key role in all aspects of hydropower projects, from feasibility studies and concept design to construction and commissioning.

You will be responsible for leading the electrical engineering design of hydropower projects, including generators, control and instrumentation systems, protection, substations and transmission lines.

Senior Software Engineer - Digital Workplace Join to apply for the Senior Software Engineer - Digital Workplace role at Canonical Senior Software Engineer - Digital Workplace 3 days ago Be among the first 25 applicants Join to apply for the Senior Software Engineer - Digital Workplace role at Canonical Canonical is a leading provider of open source software and operating systems to the...

You will own the entire ML lifecycle, engage in cross-functional collaboration, and lead technical mentorship within the team. Ideal candidates will possess a strong proficiency in Python and frameworks like PyTorch or TensorFlow, along with experience in deploying production models.

A leading consulting and digital services firm in the UK is seeking a Senior Software Engineer to contribute to the development of innovative AI products. This role requires proficiency in Python and SQL, alongside extensive experience with cloud technologies like AWS. The ideal candidate will have a strong foundation in AI, including NLP and machine learning models, while also demonstrating...

You will work with cutting-edge technology and collaborate with top professionals to drive real-world innovation. The ideal candidate has over 5 years of experience with Python and various ML frameworks. This role offers a competitive salary, equity options, and a hybrid work model.

Remote-first role within the UK, with quarterly tribe days and occasional offsites/workshops in Bath, London or Edinburgh. About us Seccl is the Octopus-owned embedded investment platform that’s on a mission to helping more people to invest – and invest well. We’re B‑Corp certified with an amazing product-market fit, impressive early traction and the potential to transform an outdated...

A technology company seeks a Machine Learning Engineer - AI Data Trainer to create training datasets and structured logs for AI models. This remote role caters to entry-level applicants, offering flexible work hours at competitive rates of $50-$70 per hour. Candidates should possess a Master’s Degree or PhD and demonstrate expertise in Machine Learning. Join a cutting-edge tech team and enjoy...

You will create structured reasoning traces and document decision-making processes to help train cutting-edge AI models. The ideal candidate will have a background in Machine Learning or Computer Science and strong analytical skills. This entry-level role offers competitive pay at $50.00 to $70.00 per hour, with flexible hours ranging from 10 to 40 hours per week.

A leading AI research organization seeks a Machine Learning Engineer - AI Data Trainer to draft structured logs for complex challenges and generate datasets for training AI models. The role demands professional expertise in Machine Learning or related fields, clear communication skills, and critical thinking. You'll collaborate with top teams on advanced AI projects in a flexible remote...