Latest Deep Learning Engineer Jobs

Forward Deployed Software Engineer

Design and build full-stack applications that integrate AI-driven physics simulation models into real-world engineering workflows. Collaborate with data scientists and customers to develop, prototype, and deploy production-grade tools using Python, FastAPI, and cloud infrastructure. Work across industries such as aerospace, energy, and semiconductors, with opportunities for international travel to support on-site customer deployments and iterate on solutions based on direct user feedback.

PhysicsX United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

A Senior Forward Deployed Software Engineer at PhysicsX works directly with customers and internal teams to build and deploy AI-driven simulation applications that solve complex engineering problems across industries like aerospace, energy, and semiconductors. The role involves full-stack development, rapid prototyping, and on-site collaboration, with a focus on delivering production-grade tools using physics AI models. Engineers also contribute to the core platform by abstracting reusable components from customer solutions and shaping product direction.

PhysicsX England US$150,000 – US$250,000 pa

Hybrid Permanent

Relational Foundation Model Engineer, Modern Data Stack

You will design and experiment with novel Transformer and Graph Neural Network (GNN) architectures that generalize across diverse relational database schemas and heterogeneous graphs. The role involves full-cycle development—from model design and large-scale training to optimization and inference acceleration—focused on real-world applications like fraud detection, forecasting, and recommendation systems. This is a research-forward engineering role with direct impact on enterprise AI systems built atop a unified foundation model.

NVIDIA

Relational Foundation Model Engineer, Modern Data Stack

Design and develop novel Transformer and GNN architectures for a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—tackling real-world applications like fraud detection, forecasting, and entity matching. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.

NVIDIA

Senior ML Engineer, Doc Fraud

Design and build production-grade machine learning systems for document classification and extraction, focusing on high accuracy and scalability across global identity documents. Work with LLMs and traditional ML models, optimize inference pipelines, and collaborate with cross-functional teams to enhance fraud detection and customer onboarding. Emphasis on technical leadership, system reliability, and mentoring within a squad-based engineering culture.

Entrust

Hybrid

Enterprise Architect - AI

This role involves defining and evolving enterprise architecture strategies with a focus on AI, cloud-native systems, and distributed architectures. The architect will design scalable AI workloads, lead technical direction across cloud, data, and infrastructure domains, and translate complex technical concepts into strategic recommendations for senior stakeholders. Key responsibilities include assessing emerging technologies, shaping investment decisions, and establishing reusable enterprise design patterns in environments leveraging Azure, GCP, or AWS.

PRACYVA United Kingdom £550 – £600 pd

Technical Product Manager

This role involves leading the end-to-end development of Voice AI products, from discovery and definition to delivery and iteration, with a strong focus on customer value and data-driven improvement. The Technical Product Manager will conduct customer interviews, shape the product roadmap using market and technical insights, and collaborate closely with ML researchers, engineers, and GTM teams. The position emphasizes technical credibility, comfort with ambiguity in fast-moving AI environments, and active contribution to building a high-impact product culture.

Speechmatics London, United Kingdom

Technical Product Manager

This role involves leading the end-to-end development of Voice AI products, from discovery to delivery, with a strong focus on customer value and data-driven iteration. You'll collaborate closely with ML researchers, engineers, and GTM teams to shape technically grounded product decisions in a fast-moving AI environment. The position emphasizes technical credibility, customer insight, and roadmap ownership within a lean, high-impact product function.

Speechmatics Cambridge, United Kingdom

Applied Scientist Lead - Computer Vision

Lead a team of applied scientists building computer vision and machine learning systems for identity verification at scale. Focus on developing vision-language models and compact mobile-optimized models to combat fraud and improve digital trust. Work closely with product and engineering to deploy resilient, production-grade systems in adversarial environments.

Entrust London, United Kingdom

On-site Permanent

Tech Lead Assist - Robotaxi

This role involves designing and leading the technical architecture for a safety-critical Remote Assistance system that connects autonomous vehicles with human operators in real time. The focus is on low-latency data streaming, fallback mechanisms, and system reliability to support Wayve’s Robotaxi launch. The position requires deep expertise in real-time systems, cross-team leadership, and translating technical decisions into operational safety and product outcomes.

Wayve London, United Kingdom

Remote Permanent

Tech Lead, Autonomy Performance - Robotaxi

This role involves defining and leading the autonomy performance function for Wayve’s Robotaxi system, focusing on translating real-world driving data into reliable metrics and driving cross-team execution to improve system performance. The Tech Lead will build a performance measurement framework, lead root-cause investigations, and ensure fixes are implemented across the stack. It is a hands-on technical leadership position with influence across multiple engineering domains in a mapless, AI-driven autonomous vehicle environment.

Wayve London, United Kingdom

On-site Permanent

Technical Instructional Designer (Data Programmes)

Designs and refines data and AI-focused apprenticeship content using backward design and AI tools, ensuring learning translates to real job performance. Balances rapid development with sustainable, human-led instructional design for career-changing outcomes. Focuses on high-impact moments where human judgment improves AI-generated material.

Multiverse London, United Kingdom

Hybrid Permanent Clearance Required

Technical Instructional Designer (AI Programmes)

Design and refine AI and data science apprenticeship content using backward design and human judgment to ensure real-world impact. Enhance AI-generated material with empathetic, high-touch learning experiences tailored to career-switchers. Lead prototyping of new learning formats while integrating AI tools deliberately into the instructional pipeline.

Multiverse London, United Kingdom

Hybrid Permanent Clearance Required

Snr Scientist II / Principal Scientist, In Vivo Biology & Translational Science

Lead the design, execution, and interpretation of in vivo pharmacology studies to support drug discovery programmes, primarily in osteoporosis but extending across indications. Partner with CROs to deliver preclinical data, integrate in vitro and ex vivo assays, and translate biological insights into project decisions within a multidisciplinary TechBio environment.

Relation Therapeutics London, United Kingdom

On-site Permanent

Specialist Data & AI SA, AWS Specialist & Partner Industries Organization (ASPI), Global Financial Services (GFS)

Design and advise on data architectures for large financial institutions transitioning to production AI systems. Focus on building governed, real-time data platforms—lakehouses, feature stores, vector databases—that support agentic and generative AI workloads. Engage at the executive and technical level to align data modernisation with AI strategy, ensuring compliance, auditability, and scalability in highly regulated environments.

Amazon London, United Kingdom

Hybrid Permanent