Artificial Intelligence Jobs

• London
• Hybrid
• Permanent

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, and productionises services on Azure and Kubernetes with observability and approval gates.

Azure · Kubernetes · React +1

• London
• Hybrid
• Senior
• Permanent

Sets technical strategy and roadmap for fault detection and fallback systems in an autonomous driving stack, designing and training detection mechanisms for robust driverless operation. Leads integration into the shared driving stack, aligning ML, inference optimisation and software teams, and mentors through architecture reviews. Works with large-scale training and fleet data in a small, high-impact team.

• Remote (UK)
• Remote
• Senior
• Permanent

Lead the design, build and deployment of production-grade ML systems for defence clients, covering architecture, scalable infrastructure and MLOps standards. Work cross-functionally with engineers, data scientists and commercial teams, acting as a technical advisor and mentoring junior engineers. Requires on-site work with customers 2-4 days per week and eligibility for UK Security Clearance.

TensorFlow · PyTorch · AWS +5

• Remote (UK)
• Remote
• Lead
• Permanent

Lead the technical delivery of computer vision projects for defence clients, architecting systems that bridge SOTA research and production deployment. Act as technical authority across bids, strategy and capability building, mentoring multidisciplinary teams while working 2-4 days per week on client sites.

• Luton
• On-site
• Shift work

First-line response for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that affect performance. Carries out planned servicing and repairs while contributing to proactive reliability and efficiency projects, working hands-on with automation hardware, software and control systems. Shift-based cover for a 24/7 operation on 12-hour days, nights and weekends.

Ocado Smart Platform · Robotics · AI +1

• Erith
• On-site
• Shift work

First-line response for engineering faults in a highly automated Customer Fulfilment Centre, diagnosing and resolving issues that impact performance. Carries out planned servicing and repairs on robotics, PLCs, SCADA systems and conveyors, plus proactive reliability improvement projects. Works 12-hour shifts across days, nights and weekends to support a 24/7 operation.

PLC · SCADA

• London
• Senior

Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Designs and maintains high-QPS, low-latency backend systems at massive scale, with technical leadership, mentoring and cross-team project planning.

Databricks · Delta Lake · Apache Iceberg +6

• London
• Hybrid · 2–3 days in office

Own the infrastructure behind speech AI models, building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and data acquisition tooling. Operate the platform that trains, evaluates and serves models in production, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes

• Cambridge
• Hybrid · 2–3 days in office
• Mid-level

Own the infrastructure behind speech AI models: building scalable data pipelines for ingesting, transforming and validating large training datasets, plus web scraping and automated data acquisition. Also operates the platform for training, evaluating and serving models, optimising GPU utilisation, scheduling and observability across distributed systems.

Docker · Kubernetes · GPU +1

• Oxford
• Hybrid
• £81,322 – £112,488 pa
• Lead · manages people
• Permanent

Dual role combining line management of a growing ML engineering team with hands-on technical delivery across multiple client projects. You'll shape ML engineering practice, lead multidisciplinary teams, oversee solution design and quality assurance, and support pre-sales and use case discovery alongside commercial teams.

• Oxford
• £78,174 – £94,686 pa
• Senior

Contract: 18-month fixed-term contract from signing (running to at least January 2028), with a view to extending or moving to permanent as a second round of programme funding is confirmed.Location: Oxford, hybrid preferred, though we'd consider fully remote for the…

• London
• Hybrid
• Mid-level
• Permanent

Builds and operates the platform that deploys, configures and manages models across ChatGPT, spanning deployment orchestration, rollouts, operational automation and capacity management. Works with research, infrastructure and product teams to turn complex operational processes into reusable, scalable platform capabilities, with a focus on reliability, observability and developer experience.

ChatGPT · GPU

• Bristol
• Hybrid
• £51,000 – £60,500 pa
• Senior

Works across multiple projects and all stages of the SDLC, leading software design, development, testing and deployment for AI and Computer Vision products. Splits time between internally and externally funded R&D, product development and client-facing service work, providing SME guidance on architecture and design within multidisciplinary teams.

Red Hat · Ubuntu · Pandas +6

• Brentford
• £75,000 – £100,000 pa

Develop an engineering-grade spiking neural network (SNN) engine for real-world machine vision applications in high-stakes environments. Translate advanced research into robust, production-ready C++ software, integrating SNNs, CNNs, and Transformers. Work closely with researchers and engineers on synthetic data generation, image analysis, and deployment in defence and security contexts.

• London
• Hybrid · 2 days in office
• £76,800 – £115,200 pa
• Senior

Builds and maintains a Python-based SaaS platform for project, data and annotation management used by internal machine learning engineers and data scientists. Works with data and platform engineers to handle growing data volumes, and collaborates with stakeholders to define requirements and validate features in an iterative, quality-driven environment.

AWS · GCP · Docker +4