Latest Engineering Jobs

Senior Solutions Architect – Large Scale Neural Networks Inference

Lead technical engagements with AI-native enterprises and research labs across EMEA to define and optimize large-scale neural network inference solutions. Architect high-performance inference pipelines using NVIDIA's stack, identify system-level bottlenecks in latency, efficiency, and cost, and translate real-world deployment challenges into product improvements. Work closely with customers from proof of concept through production deployment, focusing on scalable AI infrastructure built on GPUs and optimized inference frameworks.

NVIDIA PLN 292,500 – PLN 650,000 pa

Senior Solutions Architect – Diffusion AI Models

This role involves guiding AI-native companies in EMEA on training and deploying advanced visual content generation pipelines using NVIDIA's accelerated computing platform. The Senior Solutions Architect will provide deep technical expertise on diffusion models, optimize performance across multi-GPU environments, and improve efficiency in image, video, and multimodal generation workflows. The position also focuses on translating customer challenges into product feedback and contributing to developer outreach through technical demonstrations and reference implementations.

NVIDIA France PLN 292,500 – PLN 507,000 pa

Forward Deployed Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. You'll work across the full ML lifecycle, design scalable software architecture, and act as a technical advisor to translate complex concepts for stakeholders. The role emphasizes operationalising models, defining deployment standards, and delivering bespoke AI solutions in collaboration with cross-functional teams.

Faculty London, United Kingdom

Permanent

Senior Forward Deployed Engineer

Lead the design and deployment of scalable, production-grade machine learning systems for high-impact clients in national security and AI safety. Collaborate across engineering, data science, and commercial teams to operationalise AI solutions, while mentoring junior engineers and shaping technical standards. Work on-site with government clients and contribute to ethical, secure AI practices in a cross-functional, client-facing role.

Faculty London, United Kingdom

Permanent

Senior MLOps Engineer

Develop and maintain MLOps infrastructure to productionise advanced AI and computer vision models, from distributed training to deployment on cloud and GPU-accelerated edge devices. Work closely with research and engineering teams to build scalable CI/CD pipelines, model registries, and monitoring systems. Operate in high-assurance environments with exposure to defence and security applications.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

Research Engineer - Data Infrastructure

This role involves building and maintaining large-scale data infrastructure to support cutting-edge AI models, with a focus on data pipelines, curation strategies, and tooling for processing massive datasets. The engineer will develop classifiers and quality filters, design deduplication and augmentation systems, and enable efficient data exploration. The work directly impacts model performance through high-quality, scalable data engineering and infrastructure innovation.

ElevenLabs United Kingdom

Remote Permanent

Full-Stack Engineer - Creative Studio

Develop and maintain full-stack components for ElevenLabs' Creative Studio products, including image/video, music, and generative AI features. Work across API and UI layers to build new proof-of-concept products and scale them, while collaborating closely with engineering, growth, and sales teams. Focus on high-ownership projects involving cutting-edge voice models and large-scale data systems.

ElevenLabs United Kingdom

Remote Permanent

Forward Deployed Engineer, Infrastructure Specialist (Middle East)

This role involves leading end-to-end deployments of Cohere’s North AI platform in private cloud and on-premises environments for enterprise clients. The engineer will work closely with client IT teams to assess infrastructure, security, and data management needs, designing secure, compliant deployment strategies. Focus areas include Kubernetes administration, cloud infrastructure (Azure, AWS, GCP), and troubleshooting in high-stakes sectors like finance and healthcare.

Cohere United Kingdom

Hybrid Permanent

Forward Deployed Engineer, Agentic Platform (UK Public Sector)

Design, build, and deploy production-grade LLM-powered agentic workflows for enterprise clients in high-regulation sectors. Translate ambiguous business problems into secure, reliable AI agents integrated with tools, APIs, and sensitive data sources. Contribute to North, Cohere’s AI workspace platform, across the full product lifecycle while shaping cross-customer frameworks and ensuring auditability, safety, and performance.

Cohere United Kingdom

Remote Permanent

W

Staff Validation Systems Engineer

This role involves leading the validation of ADAS functions within Wayve’s AI Driver system, using simulation and real-world testing to ensure safety and performance. The engineer will define test strategies, develop metrics, and collaborate across data, simulation, and autonomy teams to validate learned driving behaviors. Work includes test coverage, acceptance criteria, and reporting on scalable, automated validation systems.

Wayve London, United Kingdom

W

Controls Engineer

Develops and refines vehicle trajectory and motion controllers that translate AI outputs into safe, smooth vehicle motion across diverse platforms. Works on real-time control systems using C++, integrating with AI-driven components and validating performance through simulation and on-road testing. Collaborates across teams to support new vehicle platforms and enhance control software architecture.

Wayve London, United Kingdom

Applied AI Security Architect

This role involves serving as the primary security and compliance expert for Anthropic’s enterprise customers in EMEA, particularly within highly regulated industries. The individual will lead technical discussions on AI security, data protection, and regulatory compliance, supporting pre-sales engagements with institutions like banks and insurers. They will also shape customer trust by designing secure deployment architectures for Claude and influencing product development based on frontline feedback.

Anthropic London, United Kingdom £190,000 – £225,000 pa

On-site Permanent

Staff Software Engineer, Kubernetes Platform

This role involves owning and scaling the Kubernetes control plane for large AI training clusters, including customizing the scheduler for topology-aware ML workloads and ensuring high availability under extreme scale. The engineer will build core platform services like service discovery, develop controllers and operators, and collaborate closely with research and infrastructure teams. The position demands deep expertise in distributed systems, Kubernetes internals, and debugging complex production issues across cloud environments.

Anthropic London, United Kingdom £325,000 – £485,000 pa

On-site Permanent

ML Data & Platform Engineer

This role involves building and maintaining scalable data pipelines and ML infrastructure to support speech AI models. You'll work across the full lifecycle—from data acquisition and preparation to model training, evaluation, and production serving—while improving data quality, observability, and MLOps practices. The position emphasizes end-to-end ownership of distributed systems and close collaboration with ML teams to accelerate model deployment.

Speechmatics London, United Kingdom

ML Data & Platform Engineer

This role involves building and maintaining scalable data pipelines and ML infrastructure for training and serving speech AI models. You'll work across the full stack to improve data acquisition, model deployment, and system reliability, with a focus on solving data challenges unique to speech AI. The position emphasizes ownership, end-to-end problem-solving, and close collaboration with the ML team to accelerate model iteration and productionisation.

Speechmatics Cambridge, United Kingdom