ServiceNow Architect using CSM, ITSM, ITOM, CMDB, TNI, IntegrationHub, JavaScript, Flow Designer, and TMF APIs to design and configure telecom BSS/OSS/Network solutions. The role leads ServiceNow implementation and integration for a consulting practice transforming telecom operator operations.

Work on frontier industrial AI research, developing foundation models, multimodal learning, time-series modeling, generative models, reinforcement learning, agentic systems, simulation, and world models. The team builds next-generation industrial intelligence for AVEVA, whose software is trusted by over 90% of leading industrial companies. Publish research and create IP.

You will work with C, C++, or Rust and Python, applying machine learning, computer vision, sensor fusion, Kalman filtering, and SLAM. This role at Augur, a company transforming legacy sensors into real-time intelligence, involves integrating a counter-UAS initiative from prototype to trials in London.

This role involves testing dynamic, non-deterministic LLM-based chatbot systems using test automation, performance testing, and code reviews. You will join a newly formed multidisciplinary team of five building conversational AI components for Mimica's WebApp, establishing quality practices and an output-evaluation framework.

You'll work with Python, PostgreSQL, MySQL, BigQuery, FastAPI, Flask, GCP/AWS, and CI/CD pipelines. You'll join the commercial performance insights squad to build data pipelines and event streams for monitoring algorithmic insurance underwriting, including Monte Carlo simulation.

You'll work with GA4, Google Merchant Center, and Excel/Google Sheets, with Python, JavaScript, PHP, or HTML also beneficial. As the autonomous SEO lead for Karen Millen, you'll drive organic traffic, optimize on- and off-page elements, and spearhead AI Optimisation (AIO) and Generative Engine Optimisation (GEO) strategies for the brand's website.

Develop ML and AI solutions using Python, SQL, and NLU, focusing on model development, data preparation, and experimentation for customer operations. The team builds production AI systems across the full ML lifecycle. NICE Ltd. provides customer experience and financial crime software to global businesses.

Synapri★0.0· London

You will use Python, SQL, PySpark, machine learning, NLP and Generative AI to build scalable data science solutions on an Insights team. The role involves transforming customer interaction data into insights, deploying models in Azure with CI/CD, and using tools like PyTorch, MLflow, DBT and Databricks.

Staff Machine Learning Engineer role at Sony Interactive Entertainment's Visual Computing Group, working with TensorFlow or PyTorch and Python for graphics and video processing. The team designs and deploys neural networks for game rendering and live streaming R&D. Requires 7+ years experience and publications at top-tier conferences.

Lead a team of three data scientists and three ML engineers using Python, Kafka, Spark, Flink, and on-device ML to transform phone sensor data (accelerometer, GPS) into driving-behavior models for fair insurance pricing and safety. The role owns the full telematics and pricing stack, reporting to the Director of Data.

Build production-grade generative and agentic AI using Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure, GCP, vector stores, SQL, Kubernetes, and CI/CD for the company’s product platform.

IQVIA★3.7 (2.7k)· London

Senior AI Platform Engineer working with LLMs, GPU infrastructure (AWS, on-premises), Slurm, Kubernetes, Ray, PyTorch, CUDA, vLLM, TensorRT-LLM, NVIDIA NIM, and profiling tools. The role defines and delivers infrastructure strategy for IQVIA’s LLM programmes, transforming research into production-ready AI for healthcare.

You will work with n8n, GPT, Claude, Gemini, and other LLMs, using APIs, webhooks, SQL, Python, and JavaScript to build production-ready AI agents and automations. Geomiq operates a digital manufacturing platform connecting engineers with global partners, and you will automate workflows across Sales, Operations, Supply Chain, Finance, and Product teams as their first dedicated AI builder.

You will work with Java microservices, Spring Boot, Python, SQL, Snowflake, dbt, Airflow, LangChain, Sagemaker, and MLflow. The data science team builds ML solutions for risk-based decisioning, pricing, and operational automation in insurtech/fintech. This is a hands-on leadership role—you will lead and develop the team while setting technical standards.

Google★4.3 (6.2k)· London

Works with Python, Go, Java, C++, SQL/NoSQL, APIs, HTTP, LLM APIs, vector databases, Docker, Linux. As a Customer Engineer on Google Cloud, builds rapid prototypes and demos for customers during pre-sales, supporting technical validation for AI-native solutions.

You’ll work hands-on with React, JavaScript, Python, GCP, Terraform, Git, and AI/ML tooling. As part of ace, you’ll own the build-out and enterprise adoption of a leading global hedge fund’s in-house automated testing platform, with full-stack development, CI/CD, and governance. You’ll mentor a small QA function transitioning from manual testing.

You will build a bespoke blockchain from scratch using Rust, C++, CUDA, Solidity, TypeScript, React, and Node.js. Arena Entertainment builds digital entertainment platforms including MetaWin and WOW Vegas, and is creating a new blockchain for gaming and DeFi.

Senior UI Software Engineer role at Citi building trading GUIs for the Foreign Exchange business, covering full development lifecycle with technical leadership. You will use TypeScript, React, JavaScript, HTML5/CSS, FDC3, REST/WebSocket APIs, Kafka/Solace/Tibco, and CI/CD tools like Jenkins, with desktop container experience in Chromium/Electron/OpenFin.

Work with Python, SQL, Git, Docker, cloud platforms, and CI/CD to develop, test, and deploy software and AI solutions, build data processing pipelines, and contribute to machine learning and automation projects. The team creates AI projects that drive real-world solutions.

National Gas★0.0 (10)· London

Develop and maintain backend services using ASP.NET Core, REST APIs, SignalR, and WebRTC, with SQL Server/MariaDB, Entity Framework Core, and Dapper. Deploy on Azure (App Services, SignalR Service) with Docker and CI/CD pipelines. This role owns the backend architecture for existing web platforms and a new real-time operational system.

You’ll build cloud-native apps with C#/.NET and Azure, design Microsoft Fabric and Medallion data pipelines, handle ETL/ELT, SRE, and integrate LLMs via OpenAI/Azure OpenAI. Based at startup Lineten Ltd., you’ll join a small team enabling internal and external data self-service analytics.

You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

Quantitative researchers will develop mathematical, statistical, and machine-learning models for systematic trading, working in Python, with C++ and SQL as desirable, alongside large-scale data analysis. The role spans full research-to-production, collaborating with portfolio managers and engineers at a global quantitative investment firm. No team size is stated.

You will work with C#, .NET (.NET Core/8+), SQL

You will work with C#, .NET, Azure, GitHub Actions, Octopus Deploy, CI/CD pipelines, front-end frameworks, and observability tools like Azure Monitor, Datadog, or Grafana. As part of a cross-functional digital product team at Canada Life, you will build and run product features across the full stack, living a "you build it, you run it" philosophy.