Lead Machine Learning Engineer

and offline environments.The project is structured across five interconnected AI modules, each requiring primary models, fallback strategies and EU-hosted alternatives. It integrates with enterprise CRM infrastructure and is designed for full production deployment within 12 months.A preliminary technology selection has been made as a starting point. It includes SAM 2, YOLO11-seg, LLaVA-Next, DINOv2, LoFTR, Stereo-IMU, Depth Pro, Milvus, and EU-hosted alternatives via Regolo.Ai. This selection represents our best current thinking - not a locked specification. The AI landscape is moving fast enough that some of these choices may be superseded by better tools before or during the build. We expect the Lead AI Architect to treat this stack as a hypothesis, validate it rigorously, and replace any component where a superior alternative exists at the time of implementation.The complexity is real. The timeline is fixed. The dataset is substantial. The stakes are high.The RoleAs Lead AI Architect, you are responsible for the overall technical architecture, model orchestration, and delivery integrity of the platform. You will make the critical decisions - on model selection, edge vs cloud inference, data pipeline design, fallback strategies, and EU compliance - and you will own the consequences of those decisions through to production.You will lead a hybrid team of five senior engineers and various specialised AI agents that will be created in the initial phase of the project to assist the team.You will also serve as the primary liaison with an academic research partner responsible for the R&D and certification of one of the platform's core security modules.Beyond the technical, you are the person who holds the team together. You create the conditions for constructive disagreement, mutual accountability, and honest communication. You are comfortable having difficult conversations and skilled at bringing people to a conclusion without leaving casualties. You are the "enabler", not the "boss".This is not a role for someone who has only worked in research, or only in engineering. You need to have done both - published work and shipped systems. You understand that in a fast-moving AI landscape, the right architecture today may need to be partially rebuilt in six months, and you plan accordingly.What You Will Be Responsible ForReviewing, validating and where necessary replacing the preliminary technology selection based on the state of the AI landscape at the time of implementationDesigning and owning end-to-end technical architecture across five AI modules and two operational applicationsOrchestrating the full model stack across vision, multimodal reasoning, forensic analysis, 3D metrology and vector searchLeading the data pipeline strategy for a 500,000 image proprietary dataset - anonymisation, auto-labelling, structuring and training readinessDefining and managing fallback model strategies for offline, Lead Machine Learning Engineer: Up to 125k Xcede are currently working with one of Europe's most respected applied AI companies. They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science....

and low-connectivity environmentsEnsuring EU data residency and compliance requirements are met across all model and infrastructure choicesLiaising with an academic research partner to translate R&D output into production-ready componentsMentoring and guiding the Computer Vision Engineer, ML Engineer, Senior Mobile Developer, Backend and Data Engineer, and Salesforce Integration SpecialistMaintaining architectural coherence as requirements evolve and as the AI landscape shifts during the build periodBuilding and sustaining a team culture of constructive challenge, accountability and mutual respectWhat Makes This Role ExceptionalThe technical complexity of this project is not manufactured to sound impressive on a job description. You will be architecting a real production system, on a real timeline, with a real proprietary dataset, for a real enterprise client. Every architectural decision you make will have measurable consequences.You will have genuine autonomy, a capable team, an academic partner for the research-heavy components, and the freedom to challenge every technology choice on the table. If you are the kind of person who finds complexity energising rather than exhausting, this role was built for you.How We HireWe do not recruit on CVs alone. Shortlisted candidates will complete a structured technical and behavioural assessment designed to evaluate depth of knowledge, problem-solving approach, and team fit. We are assembling a team that works well together, not just a collection of skilled individuals.What We Are Looking For10 to 15 years of hands-on AI and machine learning experience, with demonstrable production deployments at scalePhD in Artificial Intelligence, Computer Science or Machine Learning strongly preferred; publications in computer vision, multimodal AI or related fields are a significant advantageBroad and current knowledge of the AI model landscape - you know what exists, what is emerging, and how to evaluate competing tools objectivelyExperience designing hybrid edge and cloud inference architectures with offline-first constraintsProven ability to lead senior technical teams through complex, fast-moving projects where the ground shifts beneath youComfortable operating at the intersection of academic research partnerships and commercial deliveryA natural ability to facilitate difficult technical conversations and bring a team to constructive conclusions without ego or politicsFluency in English required; Italian is a strong advantageA genuine belief that AI agents are collaborators, neither a threat to skilled engineers, nor a tool. Similar jobs

Job Description Senior Machine Learning/AI Engineer - £100,000-£125,000 - Hybrid working model: three days per week in the office (Monday, Tuesday, plus one flexible day) LDN - 27 days of annual leave plus 8 bank holidays and 5 additional days, including life event,...

Machine Learning Engineer

Halian Technology Limited £90,000

JOB- Machine Learning Engineer LOCATION- Reading TERM- Permanent SALARY- £60,000 to £90,000 per annum (plus benefits) My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand...

Rome / London / Fully Remote only for exceptional candidates, with periodic travel to team locationcontract12-month full-time contract, with high-potential for long-term continuationApril / May 2026About Hoshi DigitalHoshi Digital is a London-based digital transformation company founded in 2023 by seasoned professionals with deep roots in enterprise technology delivery. We are now firmly focused on AI product development, building proprietary, production-grade systems for enterprise clients across Europe. We work at the intersection of research and delivery. We build things that actually ship.About This EngagementYou will be joining a confidential, high-priority project involving the design and delivery of a sophisticated AI platform built around computer vision, multimodal reasoning, forensic image analysis, and hybrid edge-cloud inference. The platform will be trained on a proprietary dataset of over 500,000 labelled real-world images and must operate reliably across both online, At Zego, we know that traditional motor insurance holds good drivers back. It's too complicated, too expensive, and it doesn't take into account how well you actually drive.That's why, since 2016, we've been on a mission to change all of that. Our mission at Zego is to..., We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners. We're on the verge of solving one of the biggest challenges in education -..., Data / Machine Learning Ops Engineer Location: Erskine, Scotland (Hybrid 2/3 days per week in the office) Candidates must be eligible for clearance. DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness..., Lead Machine Learning Engineer: Up to 125k Xcede are currently partnering with one of Europe's leading applied AI organisations. They collaborate with governments and major enterprises to tackle complex, high-impact challenges through advanced machine learning and data...