Morgan Stanley★3.8 (5.4k)· London

You'll work with core Java on UNIX/Linux, Git/Stash, Jenkins, JUnit, REST, TypeScript/Angular, low-latency messaging middleware, KDB/q, and FIX protocol. The role builds, deploys, and supports algorithmic trading strategies, analytical tools, and scalable trading engine infrastructure for automated systems in Equities. As a VP-level Lead, you'll manage multiple functions and guide junior staff.

Beamery★4.0 (1)· London

Architect Beamery’s data platform using dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Typescript/Node.js, Kubernetes, Python, and Segment. The platform powers reporting and AI strategy for a skills and talent lifecycle management system. This is a senior individual contributor role setting long-term technical direction.

Beamery★4.0 (1)· London

You will work with dbt, BigQuery, Kafka, PostgreSQL, MongoDB, Kubernetes, Python, and TypeScript/Node.js to build production ETL pipelines and an analytics layer. The data platform powers Beamery’s reporting and AI strategy, serving the company’s jobs, skills, and tasks data platform for talent lifecycle management.

Elliptic★0.0· London

You'll lead a DevOps team owning Kubernetes/EKS platforms, service meshes (Istio/Linkerd), GitOps (Flux/ArgoCD), Terraform, Vault, OPA, and CI/CD security tooling. The company provides blockchain analytics to trace and disrupt illicit cryptocurrency laundering. The role is a hands-on team lead setting infrastructure, automation, and reliability direction.

Citi★3.9 (21k)· London

Build FX Risk valuation platform using Core Java, Apache Ignite, Kafka, Solace, MongoDB, and Oracle in a cloud-hosted Linux environment. The team develops high-throughput microservices for real-time derivatives pricing, risk management, and data analytics, serving traders, sales, and external clients.

Work with Google Cloud, Kubernetes, serverless, Terraform, Node.js (TypeScript), and CI/CD pipelines. You'll join the Platform Engineering team at Freetrade, an investing platform, to treat the platform itself as a product—building the foundational infrastructure, observability, and security that Freetrade's own engineers rely on to ship.

Snowflake★3.7 (31)· London

You'll work with Python, SQL, LangChain, Hugging Face, PyTorch, RAG, and modern data architectures (warehousing, lakes, lake house). As a Solution Engineer, you'll present Snowflake's AI Data Cloud, deliver demos and proof of concepts, and collaborate with sales and channel partners to drive adoption.

BlackRock★3.8 (632)· London

You will design and develop distributed Java applications using Spring, Spring Boot, REST APIs, streaming technologies like Kafka and Apache Flink, relational databases (MS SQL Server, PostgreSQL, Sybase ASE), and Microsoft Azure. You will join BlackRock Global Markets’ In-Business technology team, building reliable, scalable technology to support the firm’s investment processes and platform architecture.

Snowflake★3.7 (31)· London

Work with Python, SQL, and modern AI/LLM ecosystems including RAG, LangChain, Hugging Face, and PyTorch, supporting data warehousing, data lakes, and lake house architectures. As a Solution Engineer at Snowflake, you drive sales cycles, deliver demos, and run enterprise Proofs of Concept for the AI Data Cloud.

JPMorgan★3.9 (20k)· London

You will work with Java, TypeScript, React, Scala, SQL and No-SQL databases on cloud-native platforms. As part of JPMorganChase’s Data Platforms team within the Chief Data & Analytics Office, you will engineer solutions in metadata, meta-modelling, distributed systems, domain-specific languages and interpreter design. You will provide technical guidance to the team.

You'll work with Python (pandas, OOP), SQL (PostgreSQL, Snowflake), CI/CD pipelines, Git, and GitHub. You'll develop and support in-house fund management tools that assist Fund Managers in managing funds for Legal & General's asset management division.

Deliveroo★3.3 (1.5k)· London

Build production infrastructure for Generative AI at Deliveroo and DoorDash, leading design and architecture for real-time GPU serving, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) of open-weight LLMs and VLMs. Own the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution, while mentoring engineers and setting technical direction for a small, high-leverage centralized GenAI platform team.

JPMorgan★3.9 (20k)· London

Senior Lead Software Engineer role on JPMorgan's Data Platforms team in the Chief Data & Analytics Office, working with Scala, Java, Cats Effect, and cloud-native technologies. The agile team builds secure, scalable technology products spanning metadata, meta-modelling, and distributed systems, with a focus on AI-assisted engineering and domain-specific languages.

Lead Cloud Engineers at Made Tech use AWS, Azure, GCP, Terraform, CloudFormation, Docker, Kubernetes, CI/CD, and languages like Python, Bash, and JavaScript. They help public sector organisations design, implement, and maintain secure, scalable cloud infrastructure. The role includes line managing and mentoring junior colleagues.

JPMorgan★3.9 (20k)· London

Lead Scala/Java Software Engineer on the Data Platforms team within JPMorgan Chase’s Chief Data & Analytics Office, leading an agile team to build scalable, secure technology products. Works with Scala, Java, Cats Effect, SQL/No-SQL databases, and AI-assisted development tools, focusing on metadata, meta-modelling, distributed systems, and domain-specific language design.

Atlassian★3.9 (61)· London

Leading a distributed EMEA team, you'll use Python, JavaScript, APIs, and microservices to build AI-powered solutions with generative AI, LLMs, and agent-based frameworks. The Forward Deployed Engineering team partners with top organizations to solve complex problems using Atlassian’s AI capabilities.

Too Good To Go★3.7 (14)· London

Spring Boot, Java 25, Kubernetes, AWS, React.js, TypeScript, Kotlin, and Swift. You will build and lead a new London engineering hub, delivering integrations and systems that power workflows for a marketplace app fighting food waste. As the founding Engineering Lead, you will recruit and manage a multidisciplinary team from the ground up.

Junior C# and ASP.NET developers will use SQL, .NET Core/Framework, JavaScript and Azure to build a centralized SaaS platform for FX payments, helping financial institutions manage compliance, costs and cashflow.

C# and .NET developers will build and maintain APIs and backend services for a connected home beer ecosystem spanning hardware, mobile apps, cloud services, and eCommerce—working with relational databases, Git, and desirable AWS or Azure cloud exposure.

Working with Python, C++, and deep learning frameworks such as TensorFlow, PyTorch, or JAX, the role covers LLMs, deep learning optimization, reinforcement learning, and generative models. The research team applies AI to semiconductor design and optimization, alongside fundamental research supporting internal applications and the broader scientific community.

You’ll implement ML research ideas using Python or C++, alongside deep learning frameworks like TensorFlow, PyTorch or JAX. The team applies AI (including LLMs, reinforcement learning and generative models) to semiconductor design and fundamental research.

You will work with Python and large language models (LLMs) to build AI solutions and AI agents. The company develops cutting-edge AI products for clients, with a focus on innovation and creative freedom.

As a Node.js/TypeScript Engineer in Sainsbury's Martech domain, you'll work on the Multichannel Messaging Hub (MMH) team using JavaScript, TypeScript, Node.js, microservices, Kafka, Snowflake, Kubernetes, AWS Serverless, and Terraform. The team orchestrates campaign delivery across email

Work with Vue.js, React, Angular, JavaScript, HTML/CSS, Figma, and Agile (SCRUM/Kanban) to build reusable UI components and optimize performance. Join the TransPerfect TechOps team delivering the GlobalLink platform and client interfaces.

You'll work with Node.js, React, TypeScript, APIs, cloud platforms (AWS/Azure/GCP), and CI/CD tools. The role is on a product team building a high-traffic global eCommerce platform processing thousands of daily transactions, developing customer-facing features and improving performance.