231 jobs for “Data & Bi Developer”
Harnham - Data and Analytics Recruitment London £85,000 – £95,000 pa
Senior analytics business partner role sitting between analytics teams and commercial leadership, translating business priorities into an insights roadmap and coordinating analytics, research and BI resources. Covers marketing effectiveness, attribution, experimentation, MMM, pricing and forecasting, with heavy emphasis on influencing senior stakeholders and measuring business impact.
Harnham - Data and Analytics Recruitment London £110,000 – £120,000 pa
Own the fraud strategy for a technology-led financial services business, blending strategic leadership with hands-on data science. Build and deploy AI-driven fraud identification, including classifiers, anomaly detection, document intelligence and network analysis, and run fraud models in production with testing, CI/CD and monitoring. Partner with Product, Engineering, Credit and Operations to embed controls.
Palantir Technologies Fayetteville, United States US$110,000 – US$170,000 pa
Deployment Strategists embed with customer teams to turn data into operational action, meeting analysts onsite, identifying datasets, and working with Forward Deployed Engineers to build data pipelines and bespoke workflows. The role involves leading training, presenting to audiences up to C-suite, and feeding field insights back into cross-company product offerings, with 25-75% travel.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.
Outlier (by Scale AI) London
Outlier is an AI training platform owned and operated by Scale AI. Outlier Experts work on a variety of projects, from generating training data to evaluating the performance of models.About the opportunity:We are seeking detail-oriented English speakers to review AI-generated...
Isomorphic Labs Cambridge, United States
Lead computational drug design programs from initiation through to clinical candidate selection, working alongside ML scientists to embed AI/ML into chemistry workflows. Roles span Program Lead or Computational Chemistry Lead, with some positions managing 2-3 computational chemists. Requires Python, cheminformatics and a track record of project leadership.
Isomorphic Labs London
Drive DMPK strategy across drug discovery projects, designing screening cascades and mechanistic experiments with an AI-first approach. Integrate DMPK, PD and toxicology data to predict human dose and safety windows, and author regulatory documents. Work closely with Chemistry, Pharmacology and AI/ML platform teams in a hybrid London setting.
Databricks United Kingdom
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), leads fine-tuning and evaluation engagements, and mentors the wider field engineering organisation.
Faculty London
Delivers bespoke production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Works with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, acting as a technical advisor to stakeholders.
Faculty London
Build and scale AI-powered systems for government and public sector clients, owning the full stack from Python/FastAPI backends to TypeScript and React or Vue frontends. Work in cross-functional teams with data scientists and product managers, deploying to AWS, Azure or GCP with Docker and building data pipelines and cloud infrastructure. May require UK Security Clearance and occasional on-site work with government clients.
University of Exeter Exeter £21,805 pa
Develops a multiscale Scientific Machine Learning digital-twin framework to predict thermal trajectories, torque capability and efficiency in low-speed, high-torque electric propulsion under extreme duty cycles. Combines physics-informed hybrid architectures (DNNs, neural state-space models, Neural ODEs) with safety-constrained dynamometer experiments at the Centre for Future Clean Mobility, in collaboration with marine power-systems company Ecomar Innovations.
University of Exeter Exeter £21,805 pa
An interdisciplinary PhD developing miniaturised, low-power sensing hardware co-designed with AI for field monitoring of wild animals, including individual recognition and automated behavioural and physiological quantification. Systems are benchmarked under controlled conditions then validated on wild jackdaws and West African field sites, spanning behavioural ecology, electronic engineering and data science.
FE Worldwide Ltd London £37,000 – £45,000 pa
Owns SEO, GEO, digital PR and content strategy for top-tier e-commerce clients, running search campaigns end to end and reporting on performance. Supervises junior SEO and content staff and pitches new business in a fast-paced full-service digital agency. Requires strong analytics, Excel and AI tooling skills.
Hadean London
Lead a new AI-powered defence product team, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. You own delivery end-to-end, hiring and people development, partnering with Product and technical leads, with hybrid working one day a week in Shoreditch.
Synthesia London
Design and build scalable, reliable systems for training, serving, and operating generative AI models in production. Develop internal tooling and automation to reduce operational overhead for researchers and engineers, with a focus on agentic workflows and platform-level abstractions. Collaborate closely with research and product teams to improve observability, debugging, and developer experience across distributed GPU environments.
