Machine Learning Jobs

• Singapore
• Hybrid
• Lead

Join a new Singapore research team building physical foundation models for industrial engineering, translating physics and simulation challenges into mathematical formulations. You will develop deep learning and probabilistic models for physical systems, run large-scale experiments, and own research workstreams while publishing and presenting to customers and the community.

NumPy · SciPy · Pandas +4

• Singapore
• Hybrid
• Senior

Build physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Work at the intersection of data science and software engineering, owning research work-streams and translating results into reusable libraries, tooling and products alongside scientists, customers and partners.

PyTorch · JAX · NumPy +7

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the CI/CD infrastructure underpinning Wayve's software development lifecycle, maintaining pipelines, build agents, runners and artifact storage. Works with engineering teams to cut build and test feedback times, improving caching, dependency management and reproducible builds. Also develops self-service tooling and automation to scale the build platform.

GitHub Actions · GitLab CI · Jenkins +2

• London
• Hybrid
• Senior · manages people
• Permanent

Owns validation strategy for ADAS and L2 autonomy functions, translating product, safety and regulatory requirements into test scenarios, metrics, coverage and acceptance criteria. Works hands-on with Python evaluation pipelines, simulation and SQL data analysis, spanning simulated and physical test environments. Open at senior IC or manager level, coordinating with Product, Safety and Release stakeholders.

Python · SQL

• United Kingdom
• Hybrid
• Senior
• Permanent · Flexible

A Senior DSP Consultant will lead the design and implementation of advanced signal processing solutions across domains like wireless, telecoms, audio, and semiconductors. The role involves technical leadership, system architecture, IP development, and guiding multidisciplinary teams to deliver innovative, high-performance engineering outcomes. Projects span satellite communications, indoor navigation, and custom DSP core acceleration, with a strong focus on R&D and client-driven innovation.

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

Lead the design and build of scalable data platforms, pipelines and secure data services on AWS, spanning analytics, ML and AI infrastructure. Combines hands-on engineering with technical leadership, setting standards for governance, lineage and observability while shaping data strategy with product, data science and leadership teams.

AWS · S3 · AWS Glue +5

• London
• Hybrid
• Mid-level
• Permanent

Serve as the technical bridge between frontier generative biology models and pharmaceutical/biotech customers, owning end-to-end deployment, API integration and model-serving infrastructure. Work embedded on-site with partners, translating scientific requirements into production-grade systems while feeding customer insights back to product and research teams.

AWS · GCP · Azure +2

• Birmingham
• Remote
• £85,000 – £110,000 pa
• Lead

Lead the design of AWS-based data architectures that make enterprise data trusted, governed and observable for analytics, ML and agentic AI. Split your time between hands-on architecture, customer-facing technical advisory and shaping platform and AI strategy, working with product teams and senior stakeholders.

AWS · Python · SQL +7

• Bromley
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced AI traineeship covering Python, neural networks, LLMs, prompt engineering, RAG, machine learning with scikit-learn, and AWS cloud fundamentals. Includes hands-on projects such as a Streamlit car price app and a customer service chatbot, plus tutor and recruitment support with a job guarantee.

Jupyter Notebooks · VS Code · Streamlit +7

• London
• Hybrid
• £75,000 – £95,000 pa
• Senior

Own and develop the MLOps infrastructure behind a growing AI platform, building orchestration pipelines with Dagster, Airflow or Prefect and deploying ML workloads on Kubernetes and cloud. You will implement CI/CD, observability and monitoring, manage infrastructure as code with Terraform or Bicep, and work closely with Data Scientists and ML Engineers to scale production ML, NLP and AI systems.

Dagster · Airflow · Prefect +3

• Abingdon
• Hybrid · 4 days in office
• US$200,000 – US$225,000 pa
• Mid-level

Build scalable data platforms, pipelines and ML infrastructure, and deploy production AI solutions including LLMs, RAG systems and AI agents. Work in a small, highly visible team partnering with investment and operational stakeholders, owning projects end-to-end from design through production and driving architecture decisions.

Databricks · Spark · Kafka +2

• Leicester
• Remote
• £30,000 – £45,000 pa
• Junior

A 15-step online, self-paced traineeship covering AI engineering fundamentals, Python, data handling, prompt engineering, RAG, machine learning and AWS cloud certification, with tutor and recruitment support. It is a paid training course rather than a salaried job, aimed at career changers with no prior experience, and includes a job guarantee or money-back promise.

Jupyter Notebooks · VS Code · Streamlit +7

• Royston
• £58,000 – £60,000 pa
• Senior

Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection, vulnerability management and incident response, running threat modelling and adversarial testing of AI systems.

OWASP Top 10 for LLM Applications · MITRE ATLAS · NIST AI RMF +1

• London
• Remote
• £60,000 – £70,000 pa
• Senior

Technical Business Analyst role sitting between business and software engineering, translating complex requirements, mapping system integrations and data flows, and driving process and platform improvements. Works across regulatory change, system enhancements and new platform capabilities, with scope to explore AI, ML and automation, while mentoring less experienced BAs.

• United Kingdom
• Remote
• Mid-level

Lead NVIDIA's developer strategy with a major cloud service provider, driving GPU acceleration adoption across AI and generative AI workloads. The role blends developer advocacy, product management and business development, building engineering partnerships and hosting summits and meetups. It offers high visibility with senior leadership given the strategic priority of deep learning platforms.

NVIDIA GPU · CSP