Artificial Intelligence Jobs

• New York, United States
• Hybrid · 2–3 days in office
• US$120,000 – US$240,000 pa

Builds and deploys deep learning and probabilistic models to predict and control physical systems, working alongside simulation and ML engineers. Owns data pipelines and production deployment, and collaborates directly with customers on-site across multiple regions. Based in Manhattan with 2-3 days per week in office and frequent travel.

NumPy · SciPy · Pandas +2

• London
• Hybrid
• Lead

Owns high-level research workstreams, setting technical direction and roadmaps while guiding junior team members. Translates physics and engineering challenges into mathematical formulations and builds deep learning models to predict physical system behaviour, collaborating with ML and simulation engineers to ship production code.

PyTorch · CUDA · JAX +4

• London
• Hybrid · 3 days in office
• Senior

Hands-on in vitro pharmacologist designing and running biochemical, biophysical and cellular assays for novel modalities, generating ML-ready datasets that both advance drug programmes and improve predictive models. Works closely with ML and computational colleagues, using LLM agentic workflows and in silico hypothesis building, and coordinates wet-lab studies across CRO partners.

SPR · GCI · nanoDSF +7

• London
• On-site
• Senior · manages people
• Permanent

Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role spans building new sites, vendor management, health and safety compliance, and adopting high-density GPU, AI accelerator and liquid-cooling technologies, with a focus on automation and operational metrics.

AWS · GPU · AI Accelerator Platforms

• London
• Director · manages people
• Permanent

Lead the platform engineering team owning hybrid on-prem and cloud compute, Kubernetes clusters, MLOps infrastructure and scientific compute environments for machine learning and drug discovery. Set architectural strategy, mature CI/CD and observability, and own platform security and data governance for sensitive patient-derived data, reporting to the VP of Engineering.

Kubernetes · Kubeflow · AWS +4

• London
• Hybrid
• £65,000 – £145,000 pa

The Chem Bio team researches, evaluates and mitigates chemical and biological risks from frontier AI, running capability evaluations, building benchmarks and datasets, and developing safeguards and monitoring methods. The role spans ML, computational biology, chemistry and biosecurity, with findings shared with AI companies and government. It is an expression of interest for research engineers and scientists at any seniority.

• United Kingdom
• Remote
• Lead

Customer-facing technical authority on Generative AI, LLMs and applied ML for digital-native and startup accounts across EMEA. Shapes architectures, builds hands-on proofs of concept and reference implementations on Databricks (Mosaic AI, MLflow, Model Serving, Vector Search, Unity Catalog), and leads fine-tuning and evaluation engagements on open models. Also mentors the field engineering organisation and represents the company externally through talks and blogs.

Databricks · Mosaic AI · MLflow +7

• London
• Hybrid
• £195,000 – £245,000 pa
• Senior

Conducts empirical research on AI's economic effects, building and extending the Anthropic Economic Index with regionally-specific analysis. Develops novel measurement methodologies using econometrics, machine learning, and structural estimation, and translates findings into policy recommendations while building relationships with academic, government, and industry partners.

Claude

• Norwich
• £21,805 pa
• Entry level
• Contract

A PhD studentship developing multispectral and hyperspectral imaging combined with machine learning to detect and classify marine litter from aerial and drone-based platforms. The researcher will characterise litter material reflectance in the lab, curate imaging datasets, and build models robust to changing illumination and sensor differences, based in the Colour & Imaging Laboratory and working with CEFAS scientists.

Drone

• Barcelona, Spain
• Hybrid
• Entry level
• Internship

PhD research internship tackling open problems in spatial perception and localisation within the Spatial Intelligence Team. You survey and prototype state-of-the-art methods for scene matching, SLAM/VIO and 3D reconstruction, benchmarking ideas against real-world data and compute constraints, and report findings to a Europe-distributed team.

PyTorch · NeRF · Gaussian Splatting

• United Kingdom
• Remote
• Senior

Lead applied research applying LLMs, deep learning and other modern AI techniques to cybersecurity, architecting research strategy and shaping GenAI model architectures, training and deployment. Build production AI systems at massive scale while mentoring scientists and aligning technical strategy with senior leadership.

CrowdStrike · LLM · Deep Learning +2

• Spain
• Remote
• Senior
• Permanent

Lead and architect research strategy applying LLMs, deep learning and other modern AI techniques to cybersecurity, driving novel approaches to reasoning, summarisation and interactivity. Build production-ready AI systems at massive scale, make strategic decisions on model architectures and deployment, and mentor scientists while shaping the company's AI vision.

CrowdStrike · LLM · Deep Learning Frameworks +2

• Abu Dhabi, United Arab Emirates
• Entry level
• Contract

Conducts AI and network data science research on molecular multi-omics and medical data to advance precision medicine and discover new therapeutics. Works with an interdisciplinary team on the flagship Human Phenotype Project and Emirati Genome Project datasets, designing algorithms, publishing papers, and helping supervise PhD and MSc students.

Python · TensorFlow · PyTorch +3

• London
• Hybrid
• Lead
• Permanent

Owns and develops product and service design as a core discipline within the Applied AI division, delivering billable client engagements and anchoring project deliverables. Builds executive relationships with client leadership, defines skill and progression frameworks, and partners with business development to shape multidisciplinary teams. Balances strategic delivery with building an entrepreneurial design function.

Metaview

• London
• £80,000 – £85,000 pa

Evaluate LLM and RAG outputs for accuracy, groundedness and hallucinations, building scoring frameworks, datasets and KPIs. Use SQL and Python to investigate failures, measure model and retrieval changes, and design experiments, working with AI engineers and product managers to turn findings into product improvements.

LLM · RAG · Generative AI