Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

This postdoctoral role works with GitHub, GitLab, CI/CD, SBOMs, vulnerability databases, cloud services, AI, and ML evaluation ontologies. The TrustAttest project develops a continuous compliance monitoring and automated remediation platform for SME software vendors, mapping the UK SSCoP requirements to observable technical signals across development environments.

The researcher will work with GitHub, GitLab, CI/CD pipelines, SBOMs, vulnerability databases, cloud services, ontologies, and machine-learning evaluation for AI-assisted compliance monitoring. The TrustAttest project, an Innovate UK initiative, builds a continuous compliance monitoring and automated remediation platform that maps the UK’s Software Security Code of Practice to observable technical signals for SME software vendors.

You'll work with Python, NLP/LLMs, SQL/NoSQL databases, and cloud infrastructure, designing retrieval, knowledge-base, and reasoning models. You own projects end-to-end at Catapult, which builds personalised AI that understands a user's full work context across email, calendar, Slack, and other tools. No team size is given for this founding role.

As Multimodal Sensing and Fusion Engineer you will architect the multimodal perception front-end combining electro-optical, long-wave infrared cameras, radar, LiDAR, and inertial sensing using C/C++ or Rust and Python. Helsing builds software and AI that makes existing defence hardware more capable.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

You'll build backend services and microservices using Rust, Go, Python, and Java for X Money, xAI's global payment network targeting 600+ million users. The role involves designing high-scale, low-latency distributed systems for payments, fraud detection, and compliance while collaborating with iOS, Android, and web teams on full-stack features in a startup-like environment.

Work with C, C++ or Rust, Python, computer vision models (object detection, tracking), state estimation and sensor fusion (Kalman filtering, factor graphs, SLAM). You will own integration of a new counter-UAS initiative, building a prototype from concept through trials. This role spans robotics, ML and systems engineering.

You will work with Python, JavaScript (ReactJS), C/C++, Java, Rust, and Go to curate code examples, evaluate AI-generated code, and build verification agents. As a Software Engineering evaluator, you create cutting-edge datasets for training and benchmarking large language models at Turing, a research accelerator for frontier AI labs and enterprise AI deployment.

You will evaluate, rank, and refine AI-generated code across Python, JavaScript/TypeScript, Java, C++, Go, and Rust. The role involves assessing code for correctness, efficiency, readability, and security, identifying bugs and anti-patterns, and providing structured feedback to improve AI coding assistants.

You’ll work with Rust or Python, designing hardened sandboxed runtimes, building CLI tools, and implementing tracing/telemetry for distributed systems. Indices is building infrastructure that turns any website into a deterministic, programmable API for AI agents.

You will work in a Rust stack with Python at API boundaries, using Kafka, PostgreSQL/TimescaleDB/PostGIS, gRPC/protobuf, and Kubernetes. The team builds real-time intelligence infrastructure that ingests high-volume data streams, processes them in real time, and surfaces actionable insights. This is a small, high-impact engineering team inside a scaling company.

Build and launch AI-powered products using TypeScript, React, Node.js, Rust, Azure, Docker, and LLM APIs (OpenAI, Anthropic). As the founding product engineer, you’ll own the full stack—from frontend and backend to AI workflows—and work directly with founders to shape product direction from 0 to 1.

TypeScript, Python, Rust, or C++ for a full-stack desktop application, backend for live data ingestion, and the algorithmic layer bridging research and product. This role is at a stealth-mode AI startup building a proactive AI assistant that maintains a persistent model of user work history. As a Founding Senior Engineer, you will work directly with AI researchers in a small team.

Cloudflare★3.2 (1.8k)· London

Interns work with Rust, C, Go, Python, and Gitlab/Github. Cloudflare’s Research Team solves difficult problems in security, privacy, and systems at scale. Projects may involve AI, distributed systems, privacy, and trusted execution environments.

You'll work with Python or TypeScript (Rust/Golang/Java desirable), the GitHub ecosystem, Claude Code or Codex, CI/CD pipelines, and MCP servers to architect and integrate AI-driven workflows, including coding agents and prompt libraries, across the Software Development Life Cycle for large enterprise environments.

You will work with the GitHub ecosystem, Python/TypeScript, Claude Code, Codex, Copilot, CI/CD pipelines, and Model Context Protocol (MCP) servers. The role builds custom AI coding agents, multi-step agentic workflows, reusable Skills libraries, and PromptOps standards, integrating AI-assisted development across the full SDLC.

Work with Python, PyTorch, scipy, scikit-learn, numpy, pandas, MLflow, Docker, Kubernetes, Ray, and GCP to build and scale distributed compute for research workloads. Phaidra creates AI-powered control systems for the industrial sector using reinforcement learning to enable facilities to learn and improve automatically.

Build and tune AI agents for coding within the GitHub ecosystem, using Python or TypeScript. Integrate these agents into CI/CD pipelines and Model Context Protocol (MCP) servers to automate the software development lifecycle. This role also involves developing prompt libraries and evaluation frameworks.

Work with XGBoost, Random Forests, LSTM, transformers, LLMs, Python, R, SQL, Azure, Git, PowerBI, and Looker. You will drive business outcomes by applying AI/ML to solve problems in NLP, computer vision, and recommender systems for a global academic publisher.

U.S. Bank★3.5 (12k)· London

Work with CI/CD (GitLab, Jenkins, Harness), Terraform, AWS (ECS/EKS, Lambda, S3, IAM), Docker, Kubernetes, OpenTelemetry, CloudWatch, and Python/Bash. You own the deployment, operations, and reliability of the AI‑SDLC platform as it transitions from local execution to a centralized, hosted enterprise service.

Sage★3.5 (901)· London

You will apply Python, R, SQL, XGBoost, Random Forests, LSTM, transformers, and Azure services to solve problems in NLP, computer vision, and recommender systems. The team builds AI/ML models to drive commercial impact for Sage, a global academic publisher of books, journals, and library resources.

You will use Python, R, SQL, Git-based platforms, Azure services, PowerBI, and Looker to build AI/ML solutions—including NLP, Computer Vision, recommender systems, and LLMs—for a global academic publisher of books, journals, and library resources.

Build and manage CI/CD pipelines (GitLab/Jenkins/Harness), infrastructure as code (Terraform), and AWS cloud services (ECS/EKS, Lambda, S3) with Docker and Kubernetes for the AI‑SDLC platform. Ensure platform reliability, monitoring (OpenTelemetry, CloudWatch), and operational support, while driving the centralized, hosted enterprise service through automation and security compliance. This role is within the team at Elavon, a U.S. Bank subsidiary building tailored payment solutions.

Build and validate simulation infrastructure for large-scale ML systems, modelling compute, memory, and communication behavior for training and inference. Work with Python, C++, or Rust; preferred tools include PyTorch, JAX, TensorFlow, NCCL, XLA, CUDA, and networking technologies like InfiniBand and NVLink. The role involves performance benchmarking, distributed execution across accelerators, and cross-functional partnership with hardware, software, networking, and ML teams.