Data Engineering Manager role at Wise, leading the Treasury Global Liquidity team to build a real-time liquidity observability stack, monitoring systems, and automated investment/risk tooling with machine learning for cash forecasting. You'll work with event-driven distributed systems, partner with Data Scientists and stakeholders, and mentor engineers across diverse domains.

Applies Python, SQL, PySpark, and GIT to develop complex statistical models and machine learning applications. The team works with Tesco on scalable, reusable category management solutions that drive measurable value. This is a Senior Applied Data Scientist role.

Work with Python (FastAPI), React/TypeScript, PostgreSQL, Git, CI/CD pipelines, REST APIs, and Large Language Models (LLMs). Join a Scrum team building full-stack web applications and integrating AI-driven features for a client in Technology Services.

You'll work with Java on the Contacts team, owning the end-to-end recipient experience—from a scalable platform securing bank accounts to intelligent search algorithms and local integrations like Pix. As technical authority, you'll lead, mentor, and coach a team of 9 engineers.

You’ll work with Python, vector databases, RAG, and multi-agent frameworks like LangGraph, CrewAI, and ADK. As an embedded builder in Google Cloud, you will code and ship bespoke, production-grade AI solutions directly inside customer environments. Fluency in French or German is required for this customer-facing role.

You will design for Sainsbury’s grocery website, using Figma for prototyping and working closely with product and engineering teams to create customer-centred solutions.

You will work with Java, Spring Boot, Hibernate, JavaScript/TypeScript, Angular, React, Node, CI/CD, and cloud technologies. As a Full Stack Java Technical Lead in Version 1’s UK Digital & Cloud Practice, you will lead delivery of large-scale transformational and migration projects for public and private sector clients.

You will work with Java/Spring Boot, Kafka, and stream processing to build the backend behind customer-facing insights features such as spending summaries, travel insights, and spend controls on Wise’s new Account Insights team. Wise is a global technology company building a better way to move and manage money internationally.

Build and ship production-grade AI agents using React, TypeScript, and/or Go, while working with LLM systems, evaluation frameworks, agent tooling, RAG pipelines, and prompt engineering. You will design and deliver scalable AI agents for industries like finance, healthcare, and commerce, partnering directly with large enterprises and startups.

You will lead a multidisciplinary team of backend, web, and mobile engineers building Wise’s GetPaid products (Payment Links, Invoicing, QuickPay/QR). The team’s mission is to close the gap between invoice creation and payment, improving invoice publishing, payment matching, and reconciliation. Useful experience includes Java, Spring Boot, and relational databases.

C++ software engineer role using C++, Unix, Oracle, and MongoDB (bonus Python, Java, Scala). You will work on a mission-critical airline passenger servicing system that enables 125+ airlines to check in 800 million passengers annually, ensuring ultra-resilience to catastrophic failures.

You will work with Java, microservices, and LLMs (e.g. Claude Code) to build backend systems. As part of Wise’s MEA expansion team, you will integrate with local banks, payment schemes, and verification vendors to enable Consumer & Business Onboarding and Money Movement across the region.

You will work with Java, Kotlin, and Android OS to develop and maintain display and power frameworks for the Android ecosystem. As a Tech Lead Manager, you manage a team of software engineers, ensuring stability and extensibility of critical frameworks across devices.

Platform Engineering Managers at Baringa Partners will work with CI/CD systems, Infrastructure as Code (IaC), AWS/Azure/GCP, Python or JavaScript, and Terraform. The team builds secure, automated cloud-based data analytics platforms and internal developer toolchains for clients. The role leads a platform engineering team to harden environments, enforce security policies, and design reusable artifacts.

You will work with a variety of languages and frameworks including Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL, plus AI/ML tools like RAG pipelines and agents. 8th Light is a technology consultancy that builds agentic products, platforms, and engineering solutions for clients from startups to large enterprises.

Lead engineers use Java, C#/.NET, Python, TypeScript, JavaScript, React, Go, Ruby, Scala, R, and SQL; Git, MacOS/Linux, and CI/CD; and AI-assistive tools. They lead multi-client software consultancy engagements, building and delivering production agentic systems and ML-powered features. The team is typically one to two clients per year.

Use Python and JAX-based ML libraries for large-scale pretraining of Gemini models at DeepMind, improving tooling, workflows, and distributed systems for training runs. The role involves designing architectures and applying engineering expertise to support research teams and handle time-sensitive issues in training.

You will use large language models, agentic workflows, inference-time reasoning, probabilistic modeling, reinforcement learning, and ML pipelining tools. At Google DeepMind, you will research AI systems for superhuman probabilistic estimation and forecasting, designing structured reasoning and multi-agent workflows for high-stakes decision-making.

You’ll work with Python, LLMs, reinforcement learning, and multi-agent orchestration to scale architectures, optimize inference/serving, and build evaluation platforms. The team bridges research ideas with large-scale systems, focusing on machine forecasting and autonomous systems that reason under uncertainty.

Lead a scrum team using C#, ASP.NET Core, Blazor, Angular, T-SQL, Entity Framework Core, Dapper, and Azure services (App Services, Functions, Container Apps, SQL). The role is with Version 1, a technology solutions partner to global brands. You will drive full development lifecycle delivery and mentor team members.

Use Python, Kotlin/Java, SQL, Airflow, Kubeflow, MLflow, and containers to build the ML lifecycle platform for financial crime detection at Wise, designing training pipelines, model serving, evaluation, and monitoring to enable data scientists to scale detection reliably.

Build high-availability systems using Java, Spring Boot, and Kafka to scale a "Yield Engine" that manages billions in assets for the Wise Account, providing daily returns with instant liquidity. You will own product decisions alongside PMs and designers, applying common architectural patterns and a product mindset.

You will work 80% backend and 20% frontend on the critical infrastructure every sending transaction flows through, building customer-facing products for the send journey at Wise, a global tech company moving money across borders.