Artificial Intelligence Jobs

Isomorphic Labs · London

Translates Isomorphic Labs' security strategy into engineering delivery, steering a multi-quarter InfoSec roadmap spanning Cloud Security, Platform IAM and Secure SDLC. Partners directly with engineering and ML teams to unblock architectural issues, secure drug discovery pipelines and build data-driven dashboards giving the CISO visibility into program health and risk metrics. Reports to the CISO with a functional tie to the TPM Discipline Lead.

Isomorphic Labs · Cambridge, United States

Lead and execute the translational medicine strategy across oncology programs, ensuring clinical biomarker assay readiness and data delivery to inform mechanism of action, resistance and future indications. Serve as a core program team member and cancer biology expert, collaborating with AI and computational biology teams to build innovative biomarker analysis tools and advance companion diagnostics.

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.

Relation Therapeutics · London

Join the Platform Team to design and scale Kubernetes-based hybrid compute clusters across private and public clouds, building core platform services and APIs. You will own CI/CD pipelines, monitoring, backup and disaster recovery, and work closely with Machine Learning and Data Science teams to support their computational needs.

Michael Page · London · £60,000 – £75,000 pa

This role involves designing, developing, and implementing AI-driven solutions to address complex business challenges. You will collaborate with cross-functional teams, research advanced machine learning algorithms, and analyze large datasets to drive data-driven decision-making. The role is part of a growing AI team of 20, working on new projects and products.

University of Exeter · Exeter · £21,805 pa

Develops and evaluates AI, machine learning and deep learning methods for grading retinal fundus images to detect diabetic retinopathy, glaucoma, cataract and AMD. Works with large datasets including EyePACS, UK Biobank and NHS sources, comparing algorithm accuracy against NHS clinicians and optimising explainable models for clinical trust.

NVIDIA · Zürich, Switzerland

Research and develop techniques to GPU-accelerate deep learning, machine learning and other AI workloads, working with technical experts to analyse and optimise complex AI and HPC algorithms on modern CPU and GPU architectures. The role also involves publishing optimisation techniques via developer blogs or conferences and influencing next-generation hardware and software design.

Relation Therapeutics · London

Open speculative application for a TechBio company, inviting CVs from computational biologists, life sciences researchers, and ML engineers with high-performance multi-GPU computing experience. Successful candidates join matrixed, interdisciplinary teams integrating single-cell multi-omics, functional assays and machine learning to advance drug discovery in London labs.

Ocado · Sofia, Bulgaria

Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.

eFinancialCareers · London

Joins a proprietary trading firm's research team to build machine learning and statistical models for quantitative and trading applications, working with large, noisy, high-dimensional datasets. Involves time-series, Bayesian, deep learning and reinforcement learning approaches, rigorous experiment design, and collaboration with quant researchers, traders and engineers to move models toward production.

Aarhus University · Aarhus, Denmark

Three-year PhD fellowship in Physical AI at Aarhus University's Adaptive & Agentic AI Lab, supervised by Behzad Bozorgtabar and Qi Zhang. The researcher will develop vision-language-action models, world models for planning, and efficient adaptation methods for edge robotics, targeting publications at NeurIPS, ICML, ICLR, CVPR, ICCV, CoRL, RSS and ICRA.

Multiverse · London

Deliver technical AI content across the AI for Business Value and AI-Powered Productivity programmes, facilitating workshops and drop-in sessions for apprentices. Moderate assignments, provide feedback, and coordinate with coaches and operations to track learner progress. Requires applying AI in business contexts and explaining complex concepts to varied audiences.

Eclectic Recruitment · Royston · £58,000 – £60,000 pa

Owns AI security initiatives within a Cyber Security and Compliance team, evaluating and integrating AI security tooling and defending against threats like prompt injection, data leakage and model poisoning. Also builds AI-driven detection and response capabilities, running threat modelling and adversarial testing of AI systems alongside cloud and security platform work.

NVIDIA · Bristol

Research and develop techniques to GPU-accelerate leading high performance computing applications across scientific computing, computational engineering and data science. The intern performs in-depth analysis and optimisation for current and next-generation GPU architectures, working with application developers and collaborating with architecture, research, libraries, tools and system software teams.

OpenAI · London

Conducts research on safety post-training methods such as RLHF, RLAIF, DPO, PPO, reward modeling, adversarial training and synthetic data, then builds evaluations for harms like jailbreaks, hallucination and policy adherence. Works cross-functionally with core training, product, policy, legal and trust and safety teams to ship safety improvements into production models.