Machine Learning Jobs

• London
• Hybrid
• Senior
• Permanent

Owns reliability of large-scale GPU, Kubernetes and distributed AI training infrastructure, turning recurring operational problems into durable engineering solutions. Improves observability, automation, deployment safety, capacity planning and incident learning, and builds GitOps delivery with Argo CD or Flux. Works across AI Platform, Compute & Data Platform and Cloud Infrastructure teams.

Kubernetes · Argo CD · Flux +2

• London
• Hybrid
• Senior
• Permanent

Develops next-generation generative world models and planners such as GAIA, simulating complex driving environments for faster training and scalable deployment. Works across diffusion, transformer and hybrid architectures, optimising inference latency and building interactive models for reinforcement learning and safety evaluation. Involves setting technical direction, mentoring researchers and publishing at top venues.

PyTorch · GAIA · Transformer +1

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML and LLM systems for national security and AI safety clients, including capability testing of frontier models. Act as a trusted technical advisor, define engineering standards for ML at scale, and mentor junior engineers while working with frontier labs on red teaming and evaluation.

TensorFlow · PyTorch · AWS +4

• London
• Hybrid
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for national security and AI safety clients, including capability testing of frontier models. Act as a technical advisor to customers, define deployment standards, and mentor junior engineers while working with frameworks like TensorFlow or PyTorch on cloud and Kubernetes infrastructure.

TensorFlow · PyTorch · AWS +5

• United Kingdom
• On-site
• Senior
• Permanent

This role involves designing and solving complex digital electronics challenges across diverse industries such as defence, healthcare, and telecommunications. You'll lead high-speed electronics development, work on cutting-edge FPGA and processor-based systems, and debug hardware using advanced tools and in-house labs. The role emphasizes innovation, technical ownership, and collaboration within multidisciplinary teams on novel, non-repetitive projects.

• United Kingdom
• Senior

Design and develop advanced RF and high-speed electronics for innovative client projects across diverse industries including defence, healthcare, and telecommunications. Lead electronics aspects of novel systems, from concept to testing, using specialized tools and in-house lab facilities. Solve complex challenges involving low-noise circuits, power design, and RF subsystems in a multidisciplinary engineering environment.

• London
• Hybrid
• Permanent

Post-train frontier AI models to state-of-the-art performance, writing high-performance scalable training software and improving SFT and RL cycles. Works across research and engineering on large-scale distributed training with Python, JAX, PyTorch, Kubernetes, Slurm and Ray, coordinating with specialist teams such as Agentic and Code.

JAX · PyTorch · XLA +4

• London
• Remote
• Permanent

Designs and oversees data collection tasks with human annotators, applies statistical methods to assess dataset quality, and analyses the robustness and generalisability of large language models. Involves training and fine-tuning LLMs on distributed infrastructure and running experiments with researchers, engineers and annotators to improve model performance.

PyTorch · TensorFlow · JAX

• London
• Lead

Leads customer intelligence and value measurement across multiple markets, building CLV, RFM segmentation and incrementality models. Reconciles customer, transaction and margin data into defensible value estimates, partnering with Finance on reproducible methodologies. Delivers scalable pipelines using Databricks, Spark/PySpark and Python, with strong data validation and audit practices.

Databricks · Spark · PySpark +4

• Manchester
• £550 – £600 pd
• Senior
• Contract

Contract role building and deploying scalable AI/ML applications in a cloud environment, with hands-on work in Python, PyTorch and GCP. Involves Generative AI solutions using transformer architectures, RAG and agent frameworks like ReAct, plus MLOps tasks such as CI/CD pipelines, model registries, monitoring and drift detection. Also covers containerising models with Docker, KServe and Vertex AI, GPU scheduling and canary or shadow deployments.

GCP · Docker · KServe +3

• United Kingdom
• Remote
• Permanent

Builds agents that run real parts of the business, working in Marketing Engineering and forward-deployed to growth pods to find problems and own solutions end to end. Uses Python, SQL, LLM APIs and agent orchestration with frontier models, focusing on making agents reliable, measurable and safe enough for the business to depend on.

LLM APIs

• United Kingdom
• Remote
• Permanent

Backend-leaning full-stack role building and maintaining a platform on top of cutting-edge voice models used by millions, adding product functionality and integrations, and strengthening internal infrastructure for scale, performance and security. Engineers collaborate with Frontend, Growth and Sales teams, with flexible project staffing across the company.

Kubernetes · Stripe

• Butterrow
• £55,000 – £65,000 pa
• Mid-level

Designs and builds real-time embedded software in C and C++ for microelectronics and sensors, alongside data pipelines and machine learning systems. The role covers CI/CD for ML, model versioning and drift monitoring, generative AI and LLM work including RAG and fine-tuning, plus ETL/ELT pipelines and IoT data services. Joins a small team owning the full SDLC from clean-sheet design to live deployment.

Spark · dbt · CI/CD +1

• London
• Permanent

Designs, builds and maintains production harm-detection systems using SQL, Python, machine learning and language models, developing signals, classifiers and pipelines on shared engineering platforms. Owns protection strategy and cross-functional delivery for a harm area or product launch, connecting detection with policy, review, enforcement and measurement. Includes on-call rotation and exposure to sensitive content.

SQL · Python

• London
• Hybrid
• Mid-level
• Permanent

Builds and enhances scoring and detection tooling on Quantexa's Decision Intelligence platform, turning complex interconnected data into insights for financial crime detection. Works across the stack with agentic AI tooling, taking features from concept to release alongside product and delivery teams, with a growing stakeholder management focus.

Spark · Hadoop · Elasticsearch +6