Latest Machine Learning Engineer Jobs

PhysicsX logo

Staff Machine Learning Software Engineer, Research

Lead and shape research initiatives in machine learning for physics-based simulation, focusing on scalable and distributed training of foundation models. Translate research prototypes into robust, production-grade systems using cloud and HPC infrastructure, while mentoring junior engineers and guiding technical direction across the Research team.

PhysicsX London, United Kingdom
On-site Permanent
PhysicsX logo

Senior Machine Learning Infrastructure Engineer, Research

This role involves building and operating scalable ML infrastructure for training and serving large physics models, with a focus on distributed training optimization, data pipeline performance, and model deployment. You'll work closely with research scientists and ML engineers in a high-impact R&D environment, solving systems-level challenges in GPU clusters and HPC workflows. The position emphasizes end-to-end ownership of research infrastructure, reproducibility, and developer experience for fast iteration.

PhysicsX United Kingdom
Entrust logo

Senior Software Test Engineer

A Senior Software Test Engineer will lead quality assurance efforts within a cross-functional team, designing and developing automated test frameworks for web, backend, and mobile products built on microservices and machine learning. The role involves mentoring team members, improving CI/CD pipelines, and championing test culture using tools like Playwright, Cypress, and k6. The engineer works closely with product and engineering to define acceptance criteria and drive quality improvements across the development lifecycle.

Entrust

Staff Software Engineer, Inference

This role involves designing and maintaining large-scale, performance-sensitive distributed systems that serve Claude to millions of users globally. The engineer will work across the full inference stack, building intelligent routing, autoscaling, and deployment systems for AI models running on diverse accelerators across multiple cloud platforms. The position emphasizes real-time system resilience, compute efficiency, and close collaboration with research teams to enable next-generation model development.

Anthropic London, United Kingdom £325,000 – £390,000 pa
NVIDIA logo

Principal AI Developer Technology Engineer

Research and develop techniques to GPU-accelerate AI workloads in deep learning, machine learning, and HPC domains. Collaborate with industry and academic experts to optimize complex algorithms for modern CPU and GPU architectures. Publish optimization insights and influence next-gen hardware and software design at NVIDIA.

NVIDIA Reading, United Kingdom

Lead Engineer

Lead Engineer at STORMX RECRUITMENT LIMITED in Norwich. Design and develop a business-wide Single Customer View (SCV) by integrating data from CRM, marketing platforms, and other systems. Build scalable ETL/ELT pipelines, improve data quality and identity resolution, and support data governance and BI tools. Shape the organisation’s data architecture to enable AI and machine learning initiatives.

STORMX RECRUITMENT LIMITED Nr11Bj, United Kingdom £65,000 – £75,000 pa
Hybrid Permanent

[Expression of Interest] Research Engineer / Scientist, Alignment - London

Conduct experimental research on AI safety, focusing on alignment and robustness of advanced systems. Develop and test techniques like AI debate and jailbreak evaluation, contributing to publications and safety policy. Work in a collaborative, interdisciplinary team using machine learning and systems engineering.

Anthropic London, United Kingdom
Hybrid Permanent

Applied AI Engineer, Global Public Sector

Build and deploy end-to-end AI applications for public sector clients, leveraging cutting-edge models and open-source tools. Collaborate with cross-functional teams to create high-quality training datasets and evaluation frameworks. Engage in customer projects with occasional travel, focusing on real-world AI impact at scale.

Scale AI United Kingdom
Hybrid Permanent

Senior AI Engineer - M&G plc.

This role involves designing and delivering enterprise AI solutions, including generative AI, RAG architectures, and agentic systems, within a regulated financial services environment. The engineer will build scalable, secure AI applications integrated with LLMs, implement MLOps practices, and ensure responsible AI governance. Collaboration with data, security, and business teams is central to driving innovation and measurable business outcomes.

eFinancialCareers Edinburgh, Alba / Scotland, United Kingdom
Contract
NVIDIA logo

Principal AI Developer Technology Engineer

This role involves researching and developing GPU-accelerated techniques for AI and high-performance computing workloads. You'll collaborate with experts in industry and academia to optimize complex algorithms on modern CPU and GPU architectures, while contributing to the design of future hardware and software platforms. The position emphasizes deep technical optimization, publication of findings, and engagement with the developer community.

NVIDIA

Data & AI Engineer

Design and build scalable data pipelines and AI solutions on Snowflake and Azure platforms, supporting analytics and machine learning workloads. Collaborate with technical and non-technical stakeholders to implement best practices in data engineering and drive adoption of generative AI technologies. Work within Agile frameworks to continuously improve data platform performance and support MLOps and governance standards.

Hastings Insurance Services Bexhill-on-Sea, TN39 3JX, United Kingdom

Senior AI Engineer - M&G plc.

This role involves leading the design, development, and deployment of enterprise AI solutions within a regulated financial services environment. The Senior AI Engineer will build scalable AI applications—including generative AI, RAG architectures, and agentic systems—integrated into business processes and developer workflows. Emphasis is placed on responsible AI, MLOps, security, and delivering measurable business outcomes through collaboration with cross-functional teams.

eFinancialCareers Stirling, United Kingdom
Contract

Principal ML Engineer Sports AI & Computer Vision

Design and lead the development of production-grade AI systems that analyze live sports video and data to generate real-time insights and enhance fan experiences. Work closely with engineering and data science teams to architect scalable, low-latency machine learning systems, maintaining hands-on involvement in solving complex technical challenges. Play a key technical leadership role without direct reports, shaping system design and raising engineering standards across the platform.

Appcastenterprise London, United Kingdom
Faculty AI logo

Full Stack Software Engineer

Build and scale AI-powered full-stack systems for global clients in regulated industries, collaborating with data scientists and product managers. Take ownership of frontend and backend architecture, turning machine learning outputs into production-ready solutions. Work in a technically rigorous environment focused on responsible AI deployment and long-term maintainability.

Faculty AI London, United Kingdom
Hybrid Permanent
Experis logo

Software Engineer

Design and operate scalable cloud infrastructure for AI and agentic systems, with a focus on model serving and production reliability. Build cloud-native solutions using GCP technologies and support scientists with robust, high-performance services. Work across the full software lifecycle in an agile environment alongside ML engineers and domain experts.

Experis London, United Kingdom £750 – £830 pd
Hybrid Contract