A global trading firm trading ETFs, Equities, Futures, Commodities, Options, Bonds, and Currencies seeks a Machine Learning Research Engineer. Machine Learning is a critical pillar of the firm's technology. No specific tools or team size are stated.

As a Senior Machine Learning Engineer on a multidisciplinary data and AI team, you will lead complex ML work end-to-end in a secure, highly regulated environment. The listing does not specify particular technologies, languages, or tools. This is a hands-on practitioner role with high autonomy, not a people-management position.

You will work with Python as a full-stack developer. The company develops advanced artificial intelligence and machine learning solutions for defence, security and other demanding real-world environments, specialising in computer vision.

Teksystems★3.8 (4.7k)· London

You will work with Java (Spring Boot) and Angular to enhance and maintain a large-scale customer relationship management platform for a Tier 1 banking client.

Work with Java, Spring Boot, REST APIs, microservices, and cloud technologies to design and develop scalable backend solutions for critical banking platforms. You will join an experienced engineering team building high-impact financial services used across a global banking organisation.

Full Stack Developer role using C#, .NET, JavaScript, and Umbraco for an established luxury travel company. The work involves a major transformation programme building web-based tools to automate operational tasks, improve pricing accuracy and management information, plus website enhancements.

You'll work with JavaScript, Java, .Net, or Python; version control (e.g., Git, Mercurial); CI/CD tools (e.g., Jenkins, TeamCity); and automated testing frameworks. The team collaboratively designs and builds proof-of-concept or production systems.

You'll work with AWS, GCP, SIEM, EDR, DLP, MDM, Python, Go, and TypeScript. Risk Ledger builds a network for supply-chain organisations to share security maturity and visualise risks. You'll mature security operations, detection, incident response, and cloud security across cloud, endpoint, and SaaS environments.

Work with PyTorch, TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL to train, optimise and deploy deep learning models for autonomous driving. You will own end-to-end delivery of model releases, applying techniques like quantisation and distillation to meet tight on-vehicle runtime constraints.

Lead Software Engineers use TypeScript, Java, Golang, Rust, Python; deploy on Kubernetes and Google Cloud; and work with BigQuery, REST, and observability tools. They build and scale supplier integration, search/recommendation, real-time pricing, ML marketing, booking/payment/fulfillment, and AI-powered systems for the company’s packaged-holiday platform.

Amazon★3.5 (56k)· London

This role involves designing and building scalable security systems, with development in Java, C++, or C#. You’ll automate pentest processes and create a greenfield product that provides critical security details about Amazon applications, working with teams across the company. The position involves owning architecture, design, and reliability for new and existing systems.

Thomson Reuters★3.9 (4.3k)· London

Work with Java and Python across containerized services, relational databases, and distributed systems, including AI/LLM integration patterns. As a Principal Engineer on Thomson Reuters' HighQ, an enterprise collaboration platform for law firms, you will set technical direction, architect scalable systems, and lead the integration of AI and agent platforms.

Wise★3.5 (42)· London

You'll work with Java, microservices, event-driven architectures, and relational databases, advocating continuous delivery and coding best practices. The embedded finance team builds a platform enabling partners like Google and Deel to offer embedded finance products. As a hands-on engineering lead, you'll mentor engineers and drive technical decisions.

Wise★3.5 (42)· London

Lead engineers building products for international business banking, working with Java, REST APIs, microservices, distributed systems, and CI/CD pipelines. You will design an integration platform to streamline onboarding and reduce engineering effort for new accounting software integrations. This role involves leading, coaching, and mentoring a team of engineers.

Build REST and GraphQL APIs and MCP servers in Python (FastAPI, Flask) to expose ML models from Databricks to internal apps, CRM platforms, and AI agents at RBC. Work within the Data Science team to architect the serving layer, handling contract design, authentication, and documentation.

You’ll build and ship user-facing apps primarily on Databricks Apps, using React, Vue, or Angular, and integrate with REST/GraphQL APIs served by the Data Science team. You are the technical lead on a team migrating from Power BI to custom applications, owning the full lifecycle while mentoring engineers on DevOps practices like Git and CI/CD.

Wise★3.5 (42)· London

You will build scalable systems for business onboarding and verification using Java or JVM languages, Spring framework, JDBC, and relational/non-relational databases with CI/CD pipelines and distributed systems. This engineering team owns end-to-end projects to automate verification, create flexible onboarding journeys, and manage compliance risks for Wise’s money-moving platform across Europe and the UK.

DataCamp★3.8 (4)· London

You will work with agentic AI systems like Claude Code, Cursor, or Replit to build AI workflows that draft, grade, and quality-check assessment content. You will own the design and production of DataCamp's assessment and certification content, collaborating with subject-matter experts and teams across curriculum, engineering, product, and marketing. This is an individual contributor role.

Design, build, and optimize analytics solutions using SQL, DBT, Power BI (DAX, RLS), GitHub, and cloud platforms (Snowflake, BigQuery, Databricks, Fabric). You will drive data-driven marketing insights for enterprise clients, architecting data models and leading test-and-learn programs. The role also involves mentoring junior team members.

This role involves building ML models for low-data drug discovery using active learning, meta-learning, fine-tuning, uncertainty estimation, and multimodal modeling, with tools like PyTorch and JAX. The scientist will design data acquisition strategies and closed-loop workflows for Lila’s AI-driven scientific discovery systems, collaborating with drug discovery and computational teams.

You'll work with JavaScript, Node.js, Express, React, and MongoDB/Mongoose to set technical direction and oversee AI-assisted content-creation features. As Fractional Head of Product at StoryTerrace, you'll own the roadmap for two B2C platforms—an established product and a new self-serve app—directing one Full Stack Developer and advising on hiring. This role reports to the CEO and requires hands-on coding experience to unblock development.

Brunel University★4.1 (154)· London

The role involves developing a wireless network digital twin system for smart city logistics, using 5G/6G, machine learning, AI models, large language models, and AIGC. Work includes performance analysis, radio propagation modeling, and network planning.

LexisNexis Legal & Professional★3.6 (1k)· London

You will drive AI ideation and integrate LLMs, NLP, and machine learning into Practical Guidance editorial workflows. This global role partners with commercial, product, and engineering teams to deploy scalable content-optimization solutions across North America, UK, and Asia-Pacific.

PlayStation★3.8 (164)· London

This role involves working with TensorFlow or PyTorch, Python, and libraries for computer vision and graphics. As part of the Visual Computing Group (VCG), you will develop generative models to advance game rendering and live video streaming through neural networks and machine learning R&D.

Work with Python, PyTorch, JAX, CUDA, Docker, Kubernetes, Slurm, Ray, and Linux on GPU computing. The Molecular Intelligence team builds ML and physics-based infrastructure for drug discovery, including biophysics, chemistry, cofolding models, simulation workflows, and agent-usable scientific pipelines.