Machine Learning Jobs

• United Kingdom
• Remote
• Mid-level
• Permanent

Builds and scales data pipelines from ingestion to delivery, implementing dbt best practices, data standards and quality controls. Develops self-service tooling and documentation so teams across Engineering, RevOps and Growth can access data independently, and creates AI agents to answer data questions. Works remotely within a lean, high-velocity data team.

dbt · Python · SQL +2

• United Kingdom
• Remote
• Senior
• Permanent

Own the transformation layer between raw data and business decisions, modelling data in dbt and defining the certified KPI layer for product, finance and company-wide metrics. Partner with Data Engineering on warehouse architecture and turn ambiguous stakeholder questions into trusted, reusable data products, including data served through AI agents.

dbt · BigQuery · Python +4

• London
• Director · manages people
• Permanent

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, and MLOps infrastructure such as Kubeflow notebooks, GPU training and model serving. Set architectural direction, mature CI/CD, observability and security controls, and ensure scientific compute meets the needs of ML and data science teams. Reports to the VP of Engineering in a matrixed TechBio environment.

Kubernetes · Kubeflow · ISO 27001 +2

• 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
• Hybrid
• Lead
• Permanent

Lead the technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging research and production. You'll set engineering standards for safe ML deployment, build scalable cloud infrastructure and multi-agent tooling, and partner with Frontier Labs on safety evaluations. The role also involves advising senior client stakeholders and mentoring engineering talent.

AWS · Azure · GCP +4

• London
• Hybrid
• Lead
• Permanent

Lead technical strategy, architecture and deployment of secure AI systems across high-stakes domains, bridging AI research and production. You'll build scalable ML infrastructure, champion safety-first frameworks and capability evaluations, advise senior client leadership, and mentor engineering talent while partnering with Frontier Labs on multi-agent tooling and AI governance.

AWS · Azure · GCP +4

• United Kingdom
• On-site
• Director
• Permanent

This role involves leading business development efforts in the telecommunications sector, focusing on building client relationships, identifying sales opportunities, and driving innovation through technology solutions. The individual will work closely with senior executives and cross-functional teams to develop and close high-value, complex technical deals. Key areas of focus include 5G/6G, AI, non-terrestrial networks, and custom radio technologies, with an emphasis on creating disruptive, client-driven propositions.

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

This role involves providing regulatory expertise across diverse innovation projects, supporting multidisciplinary teams in meeting international quality and compliance standards. The specialist will interpret evolving regulations, contribute to quality management systems, and help shape regulatory strategies across medical and non-medical sectors. It offers broad exposure to global markets and emerging technologies within a consultancy environment.

• London
• Remote
• £432 – £484 pd
• Senior
• Contract

Design and deploy production-grade Generative AI workflows and backend security guardrails for a global financial institution's AI Centre of Excellence. The role spans PII/MNPI sanitisation, prompt-injection defence, Python or Java GenAI and ML solutions, AWS/Azure data pipelines with Airflow, plus roughly 20-25% frontend and UI work for guardrail tooling, alongside production support and evaluation metrics.

AWS · Azure · Apache Airflow

• Manchester
• On-site
• £550 – £600 pd
• Mid-level
• Contract

Contract data science role focused on building and evaluating AI/ML solutions, including classical models and LLM-based applications on Google Cloud Platform. Day-to-day work spans prompt engineering, RAG concepts, experiment design, model evaluation and documentation, alongside requirements gathering, code review and troubleshooting with project managers and developers.

GCP

• 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

• Monroe, Ohio, United States
• On-site
• Mid-level
• Shift work

Provide first response to engineering fault conditions and carry out electrical and mechanical planned and reactive maintenance across a highly automated customer fulfilment centre. Diagnose breakdowns, perform assembly and sub-assembly repairs from blueprints and schematics, analyse MHE performance data and complete quality inspections. Initial 6-9 months involve training and travel to another North American site, with shift work covering days and weekends.

Computerized Maintenance Management Systems · G-Suite · MS Office

• Warrington
• On-site
• Entry level
• Permanent · Shift work

A 48-month apprenticeship in Amazon's Reliability Maintenance Engineering team, supporting fault-finding and preventative maintenance on robotics, conveyors and sortation equipment. You'll study towards a Level 6 qualification and BSc in Controls and Automation Engineering while working shifts across days, nights and weekends.

Conveyor Systems · Sortation Equipment · Autonomous Robots +4

• Gateshead
• On-site
• Entry level
• Permanent · Shift work

Hands-on apprenticeship within Amazon's Reliability Maintenance Engineering team, supporting fault-finding and maintenance on robotics, conveyors and sortation equipment. Combines shift-based on-the-job training with study toward a Level 6 apprenticeship, BSc in Controls and Automation Engineering and HNC/D, covering industrial automation, IoT sensors, predictive maintenance and Industry 4.0 technologies.

Robotics · IoT · Conveyor Systems +2

• London
• Hybrid
• £115,000 pa
• Lead

Hands-on role designing, developing and deploying production-grade Generative AI and Agentic AI solutions within a global technology consultancy's Data & AI practice. Combines Data Science and Machine Learning foundations with modern software engineering, including Python APIs, microservices, RAG architectures, vector databases and MLOps, while influencing solution architecture and working directly with clients on AI transformation projects.

LangGraph · CrewAI · AutoGen +7