Artificial Intelligence Jobs

• Hatfield
• Hybrid

Hands-on technical role taking ownership of the Amazon Connect platform, its customer and agent portals, and the API and data integrations linking it to wider operations. You'll lead the in-house transition from a third-party partner, managing AWS environments, contact flows, IAM, Kinesis data flows and AI-assisted development of the codebase.

Amazon Connect · AWS · Lambda +7

• Lisbon, Portugal
• Hybrid · 3 days in office
• Mid-level
• Permanent

Full-stack role building end-to-end features across web applications and backend services, with React and TypeScript on the front end and REST APIs behind. Engineers own requirements from design and task breakdown through testing, debugging and production, working in a cross-functional team for banking clients.

React · TypeScript · AWS +6

• London
• Hybrid
• Senior
• Permanent

Guardian of mission-critical production infrastructure powering core banking and payments platforms for major financial institutions. Involves automating fleet management, designing disaster recovery and capacity planning, participating in a global on-call rotation, and mentoring engineers while working with senior stakeholders and SaaS customers.

Kubernetes · Terraform · Puppet +7

• London
• Director · manages people

Lead the Technical Standards and Best Practice team, setting strategy and overseeing researchers who turn AISI's research into concrete, actionable guidance for frontier AI developers. The role spans technical engagement with developers, evaluators and standards bodies, plus line management of a growing cross-AISI team. It reports to a Deputy Director and is offered at Level 5 or 6, with exceptional candidates at Level 4.

Inspect

• London
• Mid-level

Design and lead rigorous studies on how frontier AI systems influence human decisions, including large-scale RCTs, model evaluations, red teaming and participatory methods. Work spans computational social science, AI safety and machine learning, with opportunities to publish and shape the team's research agenda alongside government and frontier lab stakeholders.

Claude Code · Codex

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

Teleoperate humanoid robots and follow structured procedures to generate high-quality datasets for training AI models, using on-site tools such as the Universal Manipulator Interface. A large part of the work is annotating and labelling multimodal data with precision, escalating anomalies and suggesting workflow improvements. Full training is provided and no technical background is required.

Universal Manipulator Interface · UMI

• London
• Hybrid
• £70,000 – £90,000 pa
• Senior
• Permanent

Designs and builds modern machine learning and AI services within a collaborative data team, developing and optimising data pipelines across a cloud analytics platform. Works with PySpark, Python, SQL, Databricks or Snowflake on AWS, plus Airflow, Terraform, Docker and Kubernetes, in agile squads supporting ML and GenAI infrastructure.

Databricks · Snowflake · AWS +7

• Eastleigh
• Hybrid
• £50,000 – £70,000 pa
• Permanent

Builds and supports data products on a modern cloud data platform, developing and optimising pipelines and integrating varied sources with strong quality standards. Works in agile squads alongside data and AI engineers, scientists and architects, using PySpark, Python, SQL and Databricks or Snowflake, with exposure to ML and GenAI infrastructure.

Databricks · Snowflake · AWS +7

• United Kingdom
• Remote
• Permanent

Builds the tools that make Studio a video editor people want to live in, including transitions, color grading and elements libraries on top of an in-house engine, plus presets that spare users from tweaking many controls. Mixes greenfield features with polish on the existing editor, such as one-step keyboard shortcut rebinding for Premiere Pro and Final Cut Pro users. Frontend-leaning full-stack role owning features from proposal through launch.

Premiere Pro · Final Cut Pro

• United Kingdom
• Remote
• Permanent

Founding full-stack engineer for an ads engine that plans, generates, localizes, launches and learns from ads across major platforms using ElevenLabs' audio and video stack. No PM or handed-down spec: you talk to users, decide what to build, and ship across data pipelines, agent tools and UI, building pragmatically with LLMs, retrieval and evals.

CMS

• Sheffield
• Hybrid
• £39,560 – £43,099 pa
• Entry level
• Contract

Postdoctoral role applying explainable NLP and machine learning to analyse online disinformation narratives, integrate findings into a user-facing verification toolkit, and evaluate commercial chatbots and AI-generated search overviews. The researcher joins the European-funded ANTIGONE project, collaborating with multidisciplinary partners and leading publication of results in high-impact journals and conferences.

Chatbots · AI-Generated Search Overviews

• Saint Peters, Australia
• Remote
• £80,000 – £100,000 pa
• Lead

Take technical ownership of a new AI layer within an established SaaS document-processing platform for the legal sector, working closely with a hands-on CTO. Design production AI/ML systems in Python using NLP, LLMs and retrieval approaches, covering architecture, data pipelines, evaluation and monitoring, while providing technical direction and remaining hands-on.

LLM · NLP

• Huddersfield
• Hybrid
• £35,000 – £45,000 pa
• Junior

Supports AWS infrastructure, CI/CD pipelines and automation for software and machine learning workloads, including packaging, versioning and deploying ML models. Works alongside software and AI engineers to keep development, testing and production environments consistent, monitoring pipelines and fixing issues. Suited to an early-career engineer with cloud, scripting and Git foundations and an interest in MLOps.

AWS · GitHub · Git +5

• Manchester
• £550 – £600 pd
• Contract

Contract data science role focused on building and evaluating AI/ML solutions on Google Cloud Platform, including classical machine learning models and LLM-based applications. 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

• London
• Hybrid
• Mid-level
• Permanent

Customer-facing engineering role deploying frontier generative biology models into pharma and biotech environments, owning the full lifecycle from technical scoping to production delivery. Involves building API integrations, data pipelines and model-serving infrastructure on AWS with Docker and Kubernetes, plus on-site work with international partners.

AWS · GCP · Azure +2