Build and maintain ETL/ELT pipelines using Python, SQL, BigQuery, REST APIs, and GCP tooling (Cloud Run, Cloud Scheduler, Secret Manager) to sync data between HubSpot, a People Planner, and Notion. The role owns the flow of operational data (client, revenue, pipeline) into the data warehouse and reverse ETL back into business systems used by Finance, Ops, and Client Leadership teams.

You will work with Python, TensorFlow or PyTorch, and large language models, building custom deep-learning models and training/fine-tuning LLMs on a proprietary dataset. Kangal AI builds frontier AI for governments, national security, and private corporations. As a founding hire, you will own the model stack and scale the research into a team you lead.

You will work with Python, deep learning image models, and large image/tabular datasets. The KYC Global and Onboarding Team performs Know Your Customer checks during consumer and business onboarding, implementing machine learning models to support document verification.

Use SQL, Python, and AI tools to extract and analyze large data sets on private markets and alternative investments. Work with Product and Machine Learning teams to develop data extraction from unstructured text like PDFs. The company automates alternative investment data processes for institutional investors.

Staff Product Designer will own the shared chat design system in Figma for web, iOS, and Android, and design AI assistant interactions end-to-end, prototyping in code. They will work with engineering, content design, and product teams to architect the Wise Assistant, the AI-native chat interface at Wise, a global money-transfer company.

Flutter Entertainment★3.9 (94)· London

In this Frontier R&D role, you will use Python and generative AI tools like ChatGPT, Claude, and Midjourney for prototyping and technology scanning. The team identifies and evaluates emerging technologies over a 12-36 month horizon for Flutter’s betting, gaming, and entertainment businesses.

Work with Python, containerized pipelines, and cheminformatics representations (SMILES, InChIKey, molecular fingerprints) to build ML evaluation benchmarks for molecular structure prediction from mass spectrometry data. You will design adversarial checks, leakage-safe datasets, and repeatable pipelines that measure model quality for an applied AI drug discovery company.

Tech Lead role at a boutique financial services consultancy building digital banking solutions. Leads a team of engineers using Java, Kotlin, Python, JavaScript/TypeScript, Spring, and Node.js, with hands-on coding, system architecture, and cloud-based applications.

You will work with SailPoint IdentityIQ, Java, Active Directory, Azure AD, LDAP, Workday, Fieldglass, SAML, OAuth, and SCIM. You will join AIG’s Identity and Access Management team, designing and maintaining enterprise IAM infrastructure for the global insurance company. No team size is stated.

Fitch Group★4.5 (4)· London

Service Reliability Engineers embed with Fitch Ratings development squads, using AWS, Azure, Kubernetes, Docker, GitHub Actions, Datadog, and AWS Bedrock/SageMaker. They drive reliability, observability, and AI-enabled operations for mission-critical services, focusing on new AI development and cloud infrastructure automation.

You will work with Go, Rust, Python, Java, C++, headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer), proxy systems, and distributed systems. The team builds infrastructure for massive web data acquisition and operates a distributed crawler via the Grass bandwidth-sharing network, powering dataset creation for AI model training.

Work with Python, Java, or C++, and AI frameworks like TensorFlow, Keras, or PyTorch to develop and implement AI models and algorithms. You will solve real-world problems, integrate AI into existing systems, and research performance enhancements for cutting-edge AI applications at Demo Co.

You will work with Oracle (Exadata Cloud, Autonomous, 11g/12c/18/19c, RAC, ASM, Data Guard), PL/SQL, Python, Bash/KSH, Ansible, Java, Oracle APEX, Git/Stash, JIRA, RMAN, and data pump. The Global Database Engineering Team manages Deutsche Bank’s relational database platform and builds automation to keep business systems operational.

You will work with CI/CD tools like GitHub Actions, GitLab CI, Jenkins, Azure DevOps, CircleCI, and Argo CD; infrastructure-as-code via Terraform, CloudFormation, Bicep, ARM, Pulumi, or Ansible; cloud platforms AWS, Azure, and GCP; Docker, Kubernetes, and Helm; plus observability stacks like Prometheus, Grafana, Datadog, Splunk, ELK, CloudWatch, and Azure Monitor, using Bash, PowerShell, or Python. You will build, automate, and improve platforms and delivery practices supporting enterprise technology services, collaborating with software, cloud, security, and QA teams.

You'll work with GitLab, Artifactory, Ansible Automation Platform, Kubernetes, ArgoCD/Flux, and cloud-native technologies. As a Principal Engineer in the Engineering Platforms team, you’ll deliver a modern software development toolchain for over 25,000 colleagues across the bank, coordinating multiple feature teams and defining architecture for end-to-end automation and scalability.

dunnhumby★3.9 (87)· London

Python, APIs, microservices, cloud (AWS, GCP, or Azure), large-scale data systems and pipelines, front-end work, and AI-assisted engineering tooling. The role builds dna, a collaborative Retail and Commerce Media service that unifies fragmented market data for retailers, brands, and agencies. You embed with clients to ship production-ready code against real data and workflows.

This role involves building data pipelines, Snowflake data models, and automation using SQL, Python, Java, or R, with practices like version control and CI. The engineer joins Sony Interactive Entertainment's Security Data Analytics team, supporting Information Security with analytics-ready data and AI-enabled workflows.

You will work with Kotlin, Java, Python, or TypeScript on AWS (Lambda, ECS, EKS), using AWS CDK, Terraform, Kubernetes, Datadog, Kafka, Flink, Redis/Valkey, RDS, and Redshift. This role is a 50/50 backend and reliability engineering split on Sparta’s commodity trading platform, building distributed services for real-time market data and owning production observability and resilience.

You'll design, build, and operate production AI/ML applications using Python, Generative AI, LLMs, RAG, agentic systems, backend services, APIs, cloud-native apps, CI/CD, containerisation, MLOps, and LLMOps. The role sits in The AA's newly established AI function creating intelligent products for members, customers, and frontline teams.

Transport for London★4.0 (429)· London

You will work with ArcGIS, ESRI Experience Builder, Python, PL/SQL, R, XML, and FME to build geospatial applications and ETL processes. You will develop innovative GIS solutions for TfL’s land and property portfolio, supporting property consultancy and location intelligence across the organisation. You will lead a team of GIS and data specialists and help expand the GIS as a Service (GISaaS) offering.

You will work with ReactJS, NodeJS, MongoDB, AWS, HTML/CSS/LESS/SASS, and Git/CICD. Atominvest builds software that powers private equity, venture capital, and hedge funds to manage investing, fundraising, and operations. You will help mentor junior team members, though the team size is not specified.