Senior Machine Learning Engineer working with C++, CUDA, Python, and PyTorch. The role is within an AI technology company developing next-generation machine learning solutions for complex real-world applications.

Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.

You will work with Python, Machine Learning, Go, and Terraform on a large strategic consulting engagement. The current team of 4 software developers is expanding with 2 new hires.

You will engineer robust, low-latency, high-throughput systems using C++ and Python to directly drive trading performance. This role focuses on clean code, optimization, and software architecture's impact on real-world execution.

You will work with Python and SQL to design, build, and maintain data-driven applications. The role focuses on data engineering and integrating with a modern data lake platform.

You will use Python, SQL, and Databricks to design and build enterprise data platforms, developing ETL/ELT pipelines and data integration solutions within a lakehouse architecture.

Work with Python and Django to develop and enhance web applications, supporting system integrations and delivering technology solutions for strategic business objectives as part of a collaborative digital team.

Work with Java, Spring, and AWS on a cross-functional, service-oriented team extending and maintaining Awin's Affiliate Marketing platform. You will design reliable services, write clean, well-tested code, and take ownership of meaningful engineering challenges.

JPMorgan★3.9 (20k)· London

Principal Data Engineer at JPMorganChase, working with SQL, Python, Spark, cloud platforms, Databricks, Apache Iceberg, and distributed frameworks like Hadoop and Kafka. The role designs and builds scalable data warehouse solutions, data pipelines, and ETL processes for the firm’s portfolios. Mentors junior engineers and partners with architects on delivery roadmaps.

Wise★3.5 (42)· London

Work with Python, big data tools like Hadoop or Spark, and cloud platforms such as AWS, GCP, or Azure, collaborating with engineers on the Treasury team. Build and refine models to forecast and manage liquidity, balancing sufficiency and risk for Wise’s multi-region money movement products.

LSEG★3.7 (403)· London

Work with Azure, AWS, Terraform, Bicep, CloudFormation, Ansible, Docker, Kubernetes, Python, Bash, PowerShell, Go, CI/CD, and generative AI tools. Build scalable AI products and platforms by owning cloud infrastructure, delivery pipelines, and operational engineering. This individual contributor role provides functional leadership, guiding engineers without direct reports.

WTW★3.6 (1.7k)· London

This role shapes WTW’s enterprise-wide AI engineering capability, defining technical direction for production-grade generative AI and agentic systems. You will work with Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks, LLM/agent frameworks, and Model Context Protocol while building RAG pipelines, LLMOps practices, and governed integration patterns.

You will work with Python, Go, or PowerShell; REST APIs for Slack, Google Workspace, and Okta; SaaS security tools like AppOmni or Adaptive Shield; and Google/Atlassian stacks, IAM, DLP, and data governance systems. You will safeguard corporate identity systems, sensitive data, and physical workspaces for a team advancing AI-driven drug discovery.

Wise★3.5 (42)· London

You’ll use Python, SQL, predictive ML models, recommendation systems, and A/B testing to own production-level model pipelines. Wise is a global fintech moving money across borders. In this IC role on the CRM Tribe, you’ll develop learning systems that recommend the right product to the right customer at the right moment.

The API Platform team owns Perplexity's public-facing surface: the Search API, Agent API, SDKs, and docs. Engineers work in Go, Rust, and Python across cloud infrastructure, Kubernetes, and CI/CD, building agent-consumed surfaces like hosted MCP, tool calling, and auth flows while owning APIs end to end from RFC to production.

Ebury★3.3 (13)· London

Senior Software Engineer (Money Flows) at Ebury (London, hybrid) will work with Python, Django, FastAPI, PostgreSQL, Kafka, AWS, Kubernetes, Terraform, Jenkins, Prometheus, and Kibana. The role owns development, scalability and optimisation of the company’s multi-currency account systems, incoming funds, and outgoing payment processes on its core transactional platform. This is a global team spanning Europe and South America.

Hudson River Trading★4.5 (2)· London

You will work with macOS, Apple Business, MDM (Jamf, Workspace One, Intune), AutoPkg, Munki, Bash/Python, and enterprise networking. As an endpoint engineer on Hudson River Trading’s Enterprise Technology team, you will solve macOS challenges and improve user experience across the firm, which builds sophisticated computing environments for algorithmic trading.

Wise★3.5 (42)· London

A Lead Data Scientist will work with Python, SQL, and machine learning models (classification, propensity, churn, next-best-action) using gradient boosting, neural networks, or linear models. They will design data pipelines and ML infrastructure for Wise’s Marketing CRM team, building recommendation systems to personalize customer communications. This individual-contributor role involves developing production models, running A/B tests, and influencing product strategy.

Faculty★0.0 (16)· London

Research Scientists execute technical research in AI safety, using Python with PyTorch to study and steer transformer-based LLMs via white-box and black-box interpretability techniques like mechanistic interpretability and steering vectors. They collaborate with senior scientists at Faculty, a company that builds and deploys human-centric AI for over 350 global clients.

You'll use Zapier, Make, n8n, Python or JavaScript, APIs, SQL, and webhooks. You'll own the automation layer for influencer marketing, building workflows for discovery, onboarding, contracts, content tracking, reporting, and payments.

Senior Platform Engineer role working with Azure, Kubernetes (AKS), Terraform, GitHub/GitHub Actions, ArgoCD, Docker, Bash/Shell, and Python. You will design, build, and operate central platform services for the Retail Platform Operations team, enabling development teams with self-service infrastructure and CI/CD automation at Legal & General.