Artificial Intelligence Jobs

Harnham - Data and Analytics Recruitment · London · £80,000 – £85,000 pa

Design, build and deploy scalable AI and machine learning solutions from concept to production, including Generative AI applications using LLMs and orchestration frameworks. Write production-grade Python, apply MLOps practices such as CI/CD, containerisation and monitoring, and build data pipelines for training, fine-tuning and inference. Work hybrid in London alongside data scientists, engineers and business stakeholders on large-scale datasets.

Harnham - Data and Analytics Recruitment · London · £75,000 – £80,000 pa

Hands-on role owning the modelled data layer, building staging, mart and analytics models in dbt and BigQuery that power reporting, self-service analytics and data activation. Works closely with Data Engineering and analysts to evolve the warehouse into a scalable global platform, with dbt testing, lineage, documentation and Looker/LookML development.

Scale AI · London

New grad engineers own customer-facing work from day one, shipping products, speaking directly with customers and iterating quickly. The Global Public Sector team builds custom AI applications, training data pipelines for national LLMs, evaluation infrastructure, agentic AI tooling and fraud-detection systems, working in Python, TypeScript, React and MongoDB.

Multiverse · London

Coordinates onboarding and ongoing training for coaches and instructors, handling scheduling, materials, certification tracking and compliance. Owns enablement projects end to end, manages the shared Senior Coach and Instructor pool day to day, and keeps the content library and reporting for MBRs and QBRs in order.

Multiverse · London

Owns the end-to-end journey for a portfolio of Enterprise accounts, from sales handover through launch, adoption and renewal. Builds 12-month mutual action plans, runs executive business reviews and correlates learner data with client KPIs to prove ROI and drive expansion. Acts as the internal voice of the customer, aligning delivery, product and support teams.

Quantum Group · London · £42,000 – £45,000 pa

Analyse aged-receivables, debtor and payment data to identify credit and counterparty risk, estimate expected losses, and assess liquidity and cash-flow exposures. Build Python statistical models for default prediction, run stress tests, and develop Power BI dashboards tracking debtor days and collection rates. Maintain the risk register, prepare monthly leadership reports, and support audit and compliance work.

University of Exeter · Exeter · £21,805 pa

Develops explainable, trustworthy machine-learning models for early dementia detection, integrating multimodal data such as neuroimaging, cognitive assessments, genetics and biomarkers. Uses latent knowledge-enhanced representations, vision-language agentic frameworks and uncertainty quantification, with clinician evaluation of bias and fairness. Validated through a longitudinal multimodal prediction and explanation system.

Scale AI · London

Interns own real, shipped work on the same roadmaps as full-time engineers, building agentic AI applications, evaluation infrastructure, data pipelines and fraud-detection systems for Scale's Global Public Sector team. Work spans Python, TypeScript, React and MongoDB, with mentorship and a strong ownership culture.

Adria Solutions · Huddersfield · £55,000 – £70,000 pa

Develops software and applied AI models for machine vision, working across C++, C# and Python to build image-processing algorithms and integrate models into reliable applications. Involves dataset preparation, model evaluation, performance tuning for accuracy and inference speed, automated testing and debugging of vision pipelines. Hybrid or remote, with a path to lead an AI team.

Sanderson · London · £550 – £700 pd

Builds, deploys and maintains machine learning models and end-to-end ML pipelines in a modern cloud environment, writing production-quality Python and SQL. Works with data scientists, analysts and engineers to take AI products from proof of concept to production, including NLP and large language model work, plus monitoring and documentation.

eFinancialCareers · London

Join a tech team at an alternative asset manager, solving business problems through software, data and applied AI. You will automate processes with C#, Python, R or Java, analyse data with SQL, and pilot AI use cases while weighing accuracy, privacy and cost. Projects span global teams and business units.

ECM Selection · Cambridge · £40,000 – £70,000 pa

This role involves developing end-to-end machine learning systems integrated with advanced electronics for defence and security applications. You'll work across diverse domains such as computer vision and generative models, building functional prototypes and demonstrators. The role emphasizes innovation, rapid iteration across projects, and close collaboration in a technically driven, low-management environment.

PhysicsX · London

Builds the simulation side of Large Physics Models, generating multi-fidelity CFD data to train large-scale ML models. Develops solvers and numerical methods in differentiable or GPU-native frameworks such as JAX or NVIDIA Warp, using commercial and open-source CFD tools for reference data. Works in a research team alongside ML researchers, shaping data generation strategy and fidelity tradeoffs.

University of Surrey · Guildford · £21,805 pa

Develops a computational framework combining computer vision, graphics and machine learning to speed up and improve cinematic camera lens design and simulation. The work covers forward simulation of candidate lens configurations and inverse design of lens architectures against imaging or perceptual objectives, using differentiable rendering and data-driven models. Based at the Vision, Speech and Signal Processing group under Dr Marco Volino and Dr Jean-Yves Guillemaut, with close industry collaboration.

University of Glasgow · Glasgow · £50,253 – £58,225 pa

Develops physics-informed machine learning and uncertainty quantification methods to improve subsurface characterisation for offshore wind and net-zero infrastructure. Joins an interdisciplinary team of engineers, data scientists and geophysicists within a UKRI-funded Fellowship, with scope to shape an ambitious research programme.