Machine Learning Jobs

• 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

• Birmingham
• 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

• London

Embed with strategic enterprise customers to design, build and productionise custom fullstack data and AI applications on the Databricks platform. You own architecture and end-to-end delivery across data engineering, ML/AI integration and user-facing interfaces, partnering with Sales, Product and Field Engineering. Travel to client sites up to 50%.

Databricks · OpenAI · Anthropic +7

• London
• Senior

Own end-to-end design for a major area of the Databricks platform, spanning data engineering, analytics, databases, apps and AI agents. Work ranges from framing and interaction models to visual polish, with heavy use of interactive prototypes and AI coding agents to ship changes directly in the codebase alongside engineers. Designers also set quality bars, run customer research, and build reusable UX patterns and design system components.

Databricks · AI Coding Agents · Genie +5

• London
• Hybrid
• Senior
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training and inference optimisation, plus planning wet lab testing campaigns with the bio team.

• London
• Hybrid
• Permanent

Architect novel generative models to design functional proteins, working in an interdisciplinary team of ML researchers, protein engineers and biologists. The role spans data curation, evaluation metrics, rapid prototyping, cloud training/inference optimisation and planning wet lab testing campaigns, with about 10% of time for self-development.

• London
• Mid-level
• Permanent

Builds and extends a data and ML platform that lets economists run analyses independently, automating pipelines and tooling with DBT, Python, Airflow, Spark, Iceberg and AWS services like Lambda, Bedrock and SageMaker. Works in a lean, no-on-call team without stand-ups or sprints, shaping technical direction for pricing, selection and delivery-speed projects.

DBT · Apache Airflow · Spark +6

• Derby
• Hybrid · 1 day in office
• £60,000 – £75,000 pa
• Mid-level

Builds data pipelines, ETL processes and backend services in Python, plus APIs and microservices delivering data products. Deploys machine learning models into production and manages AWS infrastructure (S3, Lambda, EC2, RDS, Glue) for data and application workloads, working with large complex datasets in an Agile team.

AWS · NumPy · Pandas +7

• United Kingdom
• Remote
• Mid-level
• Permanent

Owns the data infrastructure behind frontier AI models, building large-scale pipelines for collecting, filtering and transforming training datasets. Also trains classifiers, quality filters and labeling models, and designs curation strategies like deduplication and quality scoring. Fully remote, with tooling work letting researchers explore and train on massive datasets.

Kubernetes

• Cork, Ireland
• Hybrid · 3 days in office
• Senior

Lead the design and deployment of scalable AI solutions, including LLM-powered applications such as enterprise search, document summarization and conversational AI. Work spans model fine-tuning, prompt engineering, RAG architectures with vector databases, and MLOps deployment, while mentoring engineers and shaping enterprise AI strategy. Hybrid role based in Cork with three days per week in the office.

Azure OpenAI · Azure ML · Hugging Face +7

• Singapore
• Lead · manages people

Lead technical delivery of physics AI solutions, architecting deep learning models and optimisation methods to predict and control physical systems. Build scalable production data pipelines, mentor junior team members, and collaborate on-site with customers across multiple regions to embed AI models into engineering tools.

NumPy · SciPy · Pandas +2

• Singapore
• Mid-level

Customer-facing role owning the full customer journey, from onboarding and change management to roadmap planning and contract preparation. Works alongside simulation, software, ML engineers and data scientists to translate industry challenges into product opportunities, tracking engagement and measuring value. Based in Singapore, bridging advanced AI capabilities and practical engineering applications.

• Brentford
• Hybrid
• £75,000 – £100,000 pa
• Mid-level
• Permanent

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

• 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

• Stirling
• Senior · manages people

Designs, builds and optimises scalable data pipelines in Azure Databricks, Spark and Python to support actuarial modelling and assumption setting. Applies machine learning and advanced analytics where they add measurable value, drives process reengineering and embeds audit and risk controls. Also guides and reviews the work of junior team members and shapes data standards and best practice.

Azure Databricks · Spark · PySpark +1