Founding Backend Engineer role at a VC-backed collaborative AI startup. You will architect infrastructure for an agentic collaboration platform, owning backend systems using TypeScript, Node.js, and PostgreSQL, and building real-time workflows for enterprise clients.

You'll work with Python, FastAPI, TypeScript, React, and GCP to build services, data models, and APIs for a behavioral simulation platform that creates "digital twins" of populations. The team of 17 at Electric Twin is building this platform to help organizations predict human behavior with 95% accuracy.

Build features with React, TypeScript, and Python or Node.js, designing data pipelines and analytics for a database of 9M+ clinician profiles. G LNK is an AI-powered healthcare commercial intelligence platform using LLMs, vector search, and semantic retrieval to connect pharma with medical experts. You'll work directly with the CTO and CEO.

Product Engineer role working with TypeScript and Python, owning full-stack feature development from database schema design (Postgres) to frontend interactions. You’ll build tools enabling Fortune 500 organizations to test strategies via large-scale AI simulations, collaborating directly with the CTO and CPO.

Build full-stack products from scratch using TypeScript, React, Node.js, Python, JavaScript, SQL/NoSQL databases, Google Cloud, and AI/ML/LLM tooling. The ITO builds proprietary AI infrastructure, consumer/enterprise digital products, and the data/intelligence layer for Steven.com's creator-economy operating system. You will work directly with the VP of Engineering and product leaders on features and strategy.

You will develop real-time object detection, multi-target tracking, and sensor fusion algorithms using Kalman filters, deep learning, and data from EO/IR cameras, radars, and IMUs. You will interpret sensor ICDs and deploy perception software on SWaP-constrained airborne platforms, collaborating with autonomy and integration teams for Hivemind-powered unmanned aircraft operating in contested environments.

This Junior Software Engineer role uses Python, Node.js, PostgreSQL, MongoDB, React, and AWS to build backend services, APIs, and frontend applications while supporting commercial machine learning model deployment.

You will work with Python and ML frameworks like PyTorch to conduct original research in interpretability. The team advances the science of how large AI systems work, developing techniques to understand, debug and steer model internals.

You will use PyTorch or JAX, Python, and DFT packages like VASP or Quantum Espresso to develop machine learning interatomic potentials (MLIPs) that accelerate discovery of advanced functional materials by integrating ML with first-principles physics and automated experimental data.

You will work with Python, Django, data pipelines, algorithms, and machine learning models to build an AI-powered engine that automates electronic circuit board design from requirements to manufacture-ready outputs.

You will work with Python, deep learning image models, machine learning and large image and tabular datasets. The KYC Global and Onboarding Team implements ML models and systems supporting Document verification for customer onboarding. You will own the full lifecycle of these models and mentor junior team members.

Flutter Entertainment★3.9 (96)· London

You will use generative AI coding tools (ChatGPT, Claude, Midjourney) and Python for prototype development, while conducting technology horizon scanning and evaluating new AI platforms. The Frontier R&D team identifies and prototypes emerging technologies over a 12-36 month horizon for Flutter’s betting and gaming brands. This is a graduate-level individual contributor role.

You will design and train custom deep-learning models and fine-tune large language models using Python, TensorFlow, or PyTorch. The work involves leading research for Kangal AI, a venture building frontier AI for governments and security clients. You will own the entire model stack and scale a research team as a founding hire.

Work with Python, Nextflow/Snakemake, SMILES/SMARTS/SAFE, molecular fingerprints, LC-MS/MS data (mzML, MSConvert), and spectral databases (GNPS, MassBank, MoNA) to build schemas, QC pipelines, and datasets. You'll join Novogaia's small team creating foundation models that predict molecular structure from mass spectrometry data for natural-product drug discovery.

You'll work with Python, reproducible/containerized pipelines, cheminformatics representations (SMILES, InChIKey, fingerprints), and computational mass spectrometry. Novogaia is an applied AI drug discovery company building foundation models for molecular structure prediction from mass spectrometry data, and you'll own the design of internal benchmarks and evaluation pipelines for these models.

Glasswall★0.0· London

Work with Python, PyTorch, Scikit-learn, Hugging Face, Git, CI/CD, and MLOps tools to build, tune, and optimize machine learning, deep learning, and generative AI models. You will design LLM-powered systems (RAG pipelines, fine-tuning, agentic AI architectures) and production-grade pipelines within the Applied AI team at Glasswall. This hands-on role includes providing technical guidance and mentoring to mid-level and junior engineers.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

Work with Python, Java, C++, TensorFlow, Keras, PyTorch, and optionally NLP, computer vision, and cloud platforms (AWS, Azure). The role at Demo Co. involves developing and implementing AI models and algorithms, integrating AI solutions into existing systems, and conducting research to enhance AI application performance.

Fitch Group★4.5 (4)· London

You’ll work with Kubernetes, Docker, AWS, Azure, Datadog, GitHub Actions CI/CD, AWS Bedrock/SageMaker, and script in Python, PowerShell, or Bash. The role embeds within Fitch

Google★4.3 (6.2k)· London

Work with Python, Java, Go, C or C++, large language models, prompt development, and conversational AI frameworks. As an AI Solutions Deployment Manager on the Google Cloud Consulting Professional Services team, you guide customers through their cloud journey and help deliver agentic AI solutions for Google’s most strategic global clients.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

Millennium Management★3.8 (21)· London

Work with Python, C++, Docker, Kubernetes, Ceph, MongoDB, Kafka, Numpy, Polars, Scikitlearn, and Pytorch on a small, collaborative systematic trading team. The role involves developing real-time event-driven systems for alpha research, feature engineering, portfolio construction, and trade execution.

dunnhumby★3.9 (87)· London

You’ll work with Python, APIs, microservices, cloud platforms (AWS/GCP/Azure), large-scale data pipelines, and front-end code, using AI-assisted engineering tooling. As part of dunnhumby’s DNA retail media service, you’ll embed with brands, agencies, and retailers to ship production-ready software and turn field learning into product direction.

PlayStation★3.8 (164)· London

Design, build, and optimize data ingestion, transformation, and enrichment pipelines using SQL, Snowflake, Python, and REST APIs. You will join the Security Data Analytics team at PlayStation, developing data products and pipelines that help Information Security teams understand security posture and risk trends. This is an individual contributor role; no team size is stated.

The AA★3.1 (797)· London

You'll build production-ready AI applications using Python, APIs, and cloud-native services, working with Generative AI, LLMs, RAG, agentic systems, plus CI/CD, containerisation, MLOps, and LLMOps. You'll join The AA's newly established AI function, designing intelligent products for the motoring organisation's members, customers, and frontline teams.