Machine Learning Jobs

• London
• Hybrid
• Mid-level

Owns PX's editorial calendar and writes blog posts, web pages, thought leadership, scripts and event materials, translating deep technical work into clear narratives. Leads LinkedIn and Instagram, supports executive and technical speaking engagements, and partners with Talent on employer brand storytelling. Works cross-functionally with engineers, designers and external agencies in a fast-moving, high-ownership comms team.

LinkedIn · Instagram · Figma +1

• London
• Hybrid · 3 days in office
• Senior

Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimisation) into customer production environments, using Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow across cloud and on-prem. Leads scoping and architecture for data/ML systems, mentors engineers and data scientists, and travels to customer sites roughly 3-4 weeks per quarter.

Python · PyTorch · Pandas +3

• London
• Hybrid
• Senior
• Permanent

Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, leading development of target-based and targetless calibration, LiDAR-to-camera alignment, temporal synchronisation and motion compensation. A senior individual-contributor role combining algorithm development, evaluation and production deployment with technical leadership and mentorship across the 3D sensing stack.

GTSAM · Ceres Solver · g2o +1

• London
• Hybrid
• Senior
• Permanent

Lead functional safety activities for an end-to-end autonomous driving system, building Item Definitions, running HARA/FMEA/FTA analyses, and shaping safety concepts and architectures across vehicle platforms and third-party safety-critical systems. Define verification and validation, including vehicle-level testing, and construct structured safety cases with claims, arguments and evidence to support certification.

ISO 26262 · SOTIF

• London
• Hybrid
• £50,000 – £60,000 pa
• Mid-level

Design, build and deploy scalable data pipelines on the Databricks Lakehouse Platform, working across the full engineering lifecycle from requirements gathering to deployment and optimisation. Build data models supporting reporting, analytics, ML and AI use cases, and implement governance and data quality practices within a consulting team delivering enterprise-scale platforms.

Databricks · Delta Lake · Azure +2

• Bristol
• Remote
• £90,000 – £110,000 pa
• Lead

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and secure data services and APIs that power analytics, machine learning and AI systems. Works closely with product, engineering, data science and leadership teams, setting standards for data quality, governance, lineage and observability, with scope to build and lead a wider data function.

AWS

• Dublin, Ireland
• Hybrid · 2 days in office
• Lead

Lead the architecture, deployment and operation of a large-scale AI/ML platform spanning conventional ML and agentic AI. Own the platform roadmap, MLOps/LLMOps practices, CI/CD and IaC standards, and Azure-based infrastructure, while mentoring engineers and acting as senior escalation point. Hands-on leadership role combining coding with technical strategy and architecture decisions.

Azure · AWS · Terraform +4

• London
• Hybrid
• Mid-level
• Permanent

Join the Platform Team to design and scale a hybrid compute cluster spanning private and multiple public clouds. You will manage Kubernetes-based infrastructure, build core platform services and APIs, improve CI/CD pipelines, and set up monitoring, backup and security practices while supporting Machine Learning and Data Science teams.

Kubernetes · GitHub Actions · ArgoCD +3

• London
• Senior
• Permanent

Design and implement generative models that learn intervention effects from single-cell perturbation and multiomic data, focusing on counterfactual prediction and experimental design. Work in interdisciplinary teams with experimental biologists to validate computational hypotheses and guide the highest-signal next experiments, using modern ML tooling and scalable infrastructure.

• United Kingdom
• On-site
• Entry level
• Permanent

This role involves tackling diverse technical challenges across healthcare, defence, and energy sectors by applying physics-based problem solving to real-world engineering projects. You'll work on cutting-edge systems such as holographic imaging, ultrasonic measurement, and magnetic positioning, combining lab work with simulation and analysis. The position emphasizes rapid learning, innovation, and collaboration within a supportive, R&D-driven environment.

• United Kingdom
• On-site
• Entry level
• Permanent

This role involves tackling complex, multidisciplinary challenges across healthcare, defence, and energy by applying advanced physics and experimental techniques to real-world engineering problems. You'll work on innovative projects such as novel imaging systems, ultrasonic measurement, and magnetic positioning, combining theoretical knowledge with hands-on development. The position emphasizes rapid learning, technical creativity, and collaboration within a supportive, R&D-focused environment.

• Bristol

Research, develop and evaluate image processing and computer vision algorithms for complex weapon systems, using imaging sensors for situational awareness and precision targeting. Work spans tracking, optical flow, deep learning and computational imaging, built mainly in Matlab/Simulink and Python with PyTorch, within a collaborative department linked to MBDA sites in France and Germany.

MATLAB · Simulink · Python +1

• Cambridge
• Senior

Design and optimise CPU compilers for NVIDIA's Grace CPUs, working on hardware-software co-design, code generation and performance analysis for AI, HPC and data centre workloads. The role involves contributing features and optimisation techniques to upstream open source projects such as GCC, LLVM or MLIR, alongside a geographically distributed compiler team.

GCC · LLVM · MLIR +7

• France
• Hybrid · 2 days in office
• €130,000 – €150,000 pa
• Lead

Define the technical direction of large-scale production ML systems while remaining hands-on across the full model lifecycle, leading end-to-end initiatives in recommendation systems, audience targeting, bidding optimisation and customer lifecycle modelling. Work directly alongside the CTO in a high-scale real-time AdTech environment, combining technical strategy, platform engineering and applied ML as an individual contributor leader rather than a people manager.

PyTorch · TensorFlow

• United States
• Hybrid · 3 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM-powered workflows into production, making key architectural decisions within a small AI and Innovation team.

Python · React · TypeScript +1