fruit machine engineer jobs in London

Job Description Machine Learning Engineer London – (3 days a week in office) Up to £90,000 About the Role Our client is a data-driven organisation focused on delivering measurable operational and financial improvements across a range of industries. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that create tangible...

Job Description Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and...

You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.

MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and...

Job Description Lead Machine Learning Engineer Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team. This is a principal-level technical role for someone who wants to shape how large-scale AI systems are designed, built, and delivered across multiple industries. You’ll take ownership of...

Please note this role is based in New York and will require relocation - sponsorship will be supported. We are partnered with an applied research lab that is building the future of AI-powered creative tools – systems that turn cutting edge research into production-ready technology that empowers creators worldwide. They are seeking exceptional talent across three specialist roles to help solve the...

Job Description MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model...

A venture‐backed deep‐tech startup is hiring a Machine Learning Engineer with strong experience in scaling training and inference pipelines for modern foundation models. Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out. You'll work at the intersection of ML research, infrastructure, and product engineering - turning...

You will be one of the first hires at a mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Your work will bridge the gap between cutting-edge AI and human care to empower providers and patients.

You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities - Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems.

You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities - Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems.

You will be one of the first hires at a mission-driven startup redefining personalized healthcare. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Your work will bridge the gap between cutting-edge AI and human care to empower providers and patients.

Job Description Machine Learning Engineer | Early Stage Deep Tech Start Up | London I am partnered with an early stage, London based start up that is building an AI native intelligence layer for private market investing. The platform transforms fragmented documents, deal histories, and proprietary investment data into structured, searchable intelligence for private equity, venture capital, and...

You will be the primary interface between Data Science and Platform Engineering, enabling rapid iteration while enforcing production and compliance standards.

Job Description A venture‑backed deep‑tech startup is hiring a Machine Learning Engineer with strong experience in scaling training and inference pipelines for modern foundation models. You’ll work at the intersection of ML research, infrastructure, and product engineering - turning cutting‑edge model code into scalable, reliable systems used in real‑world applications. This is a high‑ownership...

Job Description MLOps Engineer Location: London, UK (Hybrid – 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model...

Job Description Senior Machine Learning Engineer Up to 115k Xcede is working in partnership one of the UK’s most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You’ll lead the design...

A venture‑backed deep‑tech startup is hiring a Machine Learning Engineer with strong experience in scaling training and inference pipelines for modern foundation models. You’ll work at the intersection of ML research, infrastructure, and product engineering - turning cutting‑edge model code into scalable, reliable systems used in real‑world applications. This is a high‑ownership role suited for...

You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.

You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.