Machine Learning Jobs

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

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

AWS

• Cambridge
• Remote
• £85,000 – £100,000 pa
• Lead

Hands-on senior role designing and building scalable data platforms, ETL/ELT pipelines and Data-as-a-Service capabilities that power analytics, machine learning and AI products for enterprise clients. Involves setting standards for data quality, governance, lineage and observability, plus secure data services and APIs, with scope to build and lead a wider data function.

AWS

• London
• Senior

Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and AI workloads on the Databricks Data Intelligence Platform. Specialise in GenAI solutions such as RAG architectures, agentic systems and AI observability, while mentoring colleagues and influencing the platform's AI roadmap.

Databricks · AWS · Azure +7

• London
• Senior

Customer-facing pre-sales architect driving adoption of Databricks' AI product line across a local EMEA territory, paired with an Account Executive to design and execute engagement strategies. Leads design and implementation of agentic AI use cases using Agent Framework, AgentBricks and MLflow, and acts as tier-3 escalation for complex field challenges.

Databricks · MLflow · Databricks Agent Framework +7

• Remote (UK)
• Remote
• Lead · manages people
• Permanent

Lead backend and edge/IoT engineering for high-stakes Defence projects, bridging proof-of-concept work and robust production systems. You'll mentor a squad of engineers, design complex components, and build CI/CD and containerisation pipelines in Python and a compiled language like Rust, C++ or Go, working alongside ML engineers and data scientists. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

GitLab CI/CD · Docker · Kubernetes +1

• Kraków, Poland
• Hybrid · 2 days in office
• Senior
• Permanent

Senior ML engineer role in a cross-craft data science team building prediction, ranking and personalisation systems for an e-commerce platform. Owns the full ML lifecycle on production systems, from experimentation and training to serving, monitoring and cost management, while coaching others and shaping reusable platform building blocks.

GCP · Vertex AI · BigQuery +6

• New York, United States
• Hybrid
• Lead

Lead the ML approach to manufacturing and MRO data, taking models from design through deployment in customer production environments across cloud, on-prem and edge. Work with sparse, drifting sensor and process data, fusing physics simulation with shop-floor measurement, and set uncertainty quantification and validation standards. Requires travel to customer sites 3-4 weeks per quarter and mentoring of engineers and data scientists.

PyTorch · Pandas · FastAPI +2

• New York, United States
• Hybrid
• US$200,000 – US$250,000 pa
• 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, building scalable training and inference pipelines and APIs on cloud and on-prem. Works directly with customers on-site, leads scoping and architecture, and mentors engineers and data scientists. Tech stack includes Python, PyTorch, Pandas, fastAPI, Scipy and Kubeflow.

Python · PyTorch · Pandas +5

• United Kingdom
• Entry level

Graduate role working on client projects across cyber security, AI, embedded systems and connected technologies, from threat modelling and secure-by-design architecture to vulnerability assessment and security testing. You'll join multidisciplinary teams spanning electronics, firmware, software, RF and data science, contributing across the full engineering lifecycle in domains like critical national infrastructure, industrial systems and defence.

STRIDE · MITRE ATT&CK · OWASP +7

• London
• Hybrid
• Director · manages people
• Permanent

Build and lead a Professional Services practice, shaping go-to-market strategy and leading complex AI transformation programmes for major firms. Act as a strategic advisor to C-suite leaders, driving commercial growth and guiding multidisciplinary teams of engineers and data scientists. Distinct focus on agentic AI in regulated, knowledge-work environments.

Metaview

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for monitoring wild animal behaviour, including individual recognition and automated quantification of responses. Systems are benchmarked in controlled conditions then validated on wild jackdaws and field sites in West Africa, spanning ecology, electronic engineering and data science.

Thermal Imaging · AI · Machine Learning

• London
• Hybrid
• Lead · manages people
• Permanent

Lead a London-based team building and operating large-scale multi-cloud, multi-region GPU compute and storage infrastructure for ML training and inference. The role is people-first: coaching engineers, hiring, and owning roadmap and delivery, while guiding Kubernetes scheduling, capacity planning and cost trade-offs across heterogeneous GPU fleets.

Kubernetes · Kueue · Nvidia Hopper +2

• London
• Hybrid
• Permanent

Build and operate backend services, APIs and data-processing workflows for a platform that deploys, runs and evaluates ML models over petabytes of driving data and large GPU fleets. Work spans model-execution workflows, versioned outputs, annotation and dataset-catalogue features, plus reliability, performance and cost work across distributed, compute-intensive systems.

Flyte · Airflow · Dagster +7

• 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

• London
• Hybrid · 1–2 days in office
• £75,000 – £85,000 pa
• Senior

Own the ML Ops function within a growing AI and data organisation, building and maintaining production-grade ML orchestration pipelines with Dagster, Airflow or Prefect. Deploy, monitor and scale ML and LLM-powered services on Kubernetes using Terraform or Bicep, with strong CI/CD and observability practices, working closely with data scientists and client-facing teams.

Dagster · Airflow · Prefect +5