You will work with Rust, Python, Java, Go, C++, and a distributed systems stack involving edge computing, low-bandwidth radio links, and air-gapped networks. This company builds AI software that turns unstructured sensor data into real-time intelligence for semi-autonomous platforms. You will set technical direction across multiple teams.

Meta★4.0 (1.1k)· London

Business Support Engineer supporting Meta's Business Agent, an AI platform helping businesses boost productivity. Work with Python, PHP/Hack, JavaScript/React, REST APIs, SQL, PyTorch, Llama and other LLMs, plus cloud infrastructure (Kubernetes, Docker). Provide engineering support, troubleshoot distributed systems, and build AI solutions from prototype to production.

You'll work with React, TypeScript, and Python (or Node.js) to build AI-driven matchmaking systems connecting pharma with medical experts. The platform processes 9M+ clinician profiles and billions of records, automating healthcare commercialization workflows for global drug development at G LNK (YC W25).

You will develop neuro-symbolic AI architectures for Project SENTINEL, an Innovate UK grant-funded initiative building provably safe guardrails for autonomous systems. Your daily work involves Python and ML libraries (PyTorch, TensorFlow, scikit-learn) to design deep learning models, NLP systems, and scalable ML pipelines for production deployment.

You'll work with Python, FastAPI, TypeScript, React, and GCP to design services, data models, and APIs. Electric Twin builds a behavioral simulation platform that creates "digital twins" of populations to predict human behavior, already used by major organizations. You'll join a high-caliber team of 17, owning complex systems from design to deployment.

Research Engineer role at Electric Twin, a London AI company building LLM-powered synthetic populations for behavioral prediction, using technologies like chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI. You'll design memory systems and decision-making frameworks within the Science team, running experiments to validate agent behavior against real-world data.

You will architect pipelines with Spark, Airflow, Kafka, PostgreSQL, MongoDB, and vector databases (Qdrant, Milvus, pgvector) using Python. As the first senior data hire at an early-stage AI company, you lead design of data infrastructure for real-time AI inference. You will build and eventually lead your own data engineering team.

You will work with Java, Spring Boot, SQL, RESTful/streaming APIs, cloud-native microservices, containerization, NoSQL, distributed data stores, and AI/ML-enabled tools. As a Lead Full Stack Engineer at BNY, a global financial services company, you will provide technical leadership, mentor engineers, and design secure, scalable, resilient systems.

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.