Latest Engineer Jobs

Leading Engineering Developer - Enterprise AI Products - Senior Vice President - Citi

This role involves leading technical components of an AI-enabled platform, designing and developing robust solutions using Python or Java, and working with cutting-edge technologies like Google ADK, Model Context Protocol (MCP), and agent-based architectures. The developer will engage directly with business partners to translate real-world problems into technical solutions, drive platform strategy, and ensure seamless integration across systems while maintaining high standards in code quality, risk, and compliance.

eFinancialCareers London, United Kingdom

Software Engineering Manager - Machine Learning- Systematic Quant Fund

This role involves leading a team of experienced engineers to develop and maintain core machine learning infrastructure, including distributed model training, LLM hosting, and scalable deployment systems. You will drive technical direction and integrate advanced ML capabilities into high-stakes systems within a deeply technical environment.

eFinancialCareers London, United Kingdom

On-site Permanent

Machine Learning Engineer

Develop and deploy production-grade machine learning systems for high-impact clients, particularly in the defence sector. Design scalable ML infrastructure, lead technical architecture decisions, and translate complex AI concepts for stakeholders. Work across the full ML lifecycle using cloud platforms and containerisation technologies.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Full Stack Software Engineer

Design and build full-stack AI-powered applications, translating machine learning outputs into production-ready systems. Collaborate with data scientists and product managers to deliver scalable, user-centric solutions for global clients in regulated industries. Focus on robust architecture, cloud deployment, and client-facing technical leadership.

Faculty AI London, United Kingdom

Hybrid Permanent

Senior Forward Deployed Software Engineer

This role involves building and deploying full-stack applications that integrate AI-driven physics simulation models to solve complex engineering problems for clients across aerospace, energy, automotive, and other advanced industries. You'll work closely with customers on-site and collaborate with data scientists and engineers to design, prototype, and iterate tools that transform engineering workflows. The position emphasizes end-to-end ownership, rapid development, and translating real-world engineering challenges into impactful software solutions using modern cloud-native technologies.

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

Hybrid Permanent

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX England US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Senior Business Intelligence Engineer, EU Retail TCEE Data & Analytics

This role involves leading high-impact analytics projects by defining critical metrics, building robust data pipelines and models, and delivering actionable insights to senior leadership. The engineer will solve ambiguous, high-stakes business problems, ensuring analytical rigor and data accuracy. Responsibilities include mentoring team members, setting data standards, and presenting recommendations to executives based on defensible analysis.

Amazon London, United Kingdom

Hybrid Permanent

AI Test Engineer (SC Cleared)

This role involves leading end-to-end testing strategies for AI and data-driven systems in a regulated enterprise environment. The engineer will design validation frameworks for AI models, including Generative AI and RAG solutions, integrate testing into CI/CD pipelines, and ensure compliance with security, accessibility, and performance standards. The position requires hands-on technical work alongside strategic oversight and mentoring within a hybrid setup in London.

Adecco London, City And County Of the City Of London, United Kingdom £600 – £650 pd

Research Scientist/Engineer - General Decision & Control Agent

This role involves advancing autonomous AI agent systems with a focus on long-term reasoning, memory, self-improvement, and reinforcement learning. The candidate will conduct foundational research to develop scalable, evolvable agents capable of continuous learning and decision-making in complex environments. Work includes designing memory architectures, self-evolving frameworks, and RL-driven optimisation, with opportunities to publish and contribute to AGI progress.

Adecco London, City And County Of the City Of London, United Kingdom £100,000 – £180,000 pa

Machine Learning Engineer

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, rapidly prototyping and deploying models into functional hardware systems. The role emphasizes innovation, rapid iteration, and close collaboration in a technically driven, low-management environment.

ECM Selection Cambridge, Cambridgeshire, United Kingdom £40,000 – £70,000 pa

On-site Permanent Clearance Required

AI Language Engineer II, Alexa for Shopping Lang-Tech

This role involves developing and optimizing AI-driven shopping experiences by authoring and managing system prompts, building LLM-as-a-judge evaluation systems, and automating data workflows. The engineer will work cross-functionally to improve model performance, define tooling requirements through prototyping, and ensure high linguistic and editorial quality across customer-facing applications. A strong focus is placed on retrieval-augmented generation, prompt engineering, and scalable data processing in the context of agentic systems.

Amazon London, United Kingdom

Hybrid Permanent

Applied AI Engineer

Design and deploy production AI systems for enterprise clients, guiding them from concept to scalable implementation. Work across the full technical stack to solve complex integration, reliability, and governance challenges while ensuring safety and measurable business impact. Translate real-world deployment experience into reusable tools and product improvements.

OpenAI United Kingdom

Hybrid Permanent

Agentic AI Engineer (life sciences)

This role involves designing and building LLM-powered agentic workflows that assist drug discovery scientists in generating testable therapeutic hypotheses for rare diseases. The engineer will work cross-functionally to integrate AI agents with a knowledge graph, scientific literature, and proprietary methods, refining systems that reason over complex biomedical data. Success includes owning workflows from concept to production, with a focus on reliable, evaluable, and maintainable agent design in a fast-moving AI landscape.

Healx Cambridge, United Kingdom

Hybrid Permanent

Staff Research Engineer - Multimodal Generative Modelling

This role involves advancing multimodal generative models that enable natural, real-time interactive conversations combining voice, text, and video. The engineer will lead research in streaming, low-latency systems, design novel architectures using diffusion and neural codecs, and ship end-to-end models into production. Emphasis is placed on emotional expressiveness, conversational realism, and tight integration across audio-visual modalities.

Synthesia London, United Kingdom

Remote Permanent

Senior Machine Learning Engineer, AI Performance

This role involves taking machine learning models from training to production deployment, focusing on optimising for real-world constraints like latency and memory. The engineer will collaborate closely with performance and inference teams to deliver efficient, deployable models for autonomous driving systems, using techniques such as quantisation and distillation. The position emphasizes hands-on iteration in PyTorch and cross-functional delivery in a high-ownership environment.

Wayve London, United Kingdom