You'll work with ERP systems, APIs, SQL, data/ETL, and integration tools while running product demos and building proof-of-concepts. DualEntry's AI-native ERP automates accounting from data entry to close for finance teams. You'll translate complex workflows into product solutions for CFOs and engineers.

Methods Business and Digital Technology★4.5 (2)· London

Design, build and improve ETL/ELT pipelines using SQL, Python, Apache Spark (PySpark/Spark SQL), Azure Data Factory or Airflow, Docker, and CI/CD. You will support client engagements to stabilise business-critical processes and establish repeatable data foundations across enterprise systems, working with data from Ariba, Workday, or SAP S/4HANA.

Build and maintain integrations between HubSpot, People Planner, and BigQuery using Python, SQL, REST APIs, and GCP tools (Cloud Run, Cloud Scheduler, Secret Manager, GitHub Actions). You'll own data flow for a media agency's operational systems, keeping data structured and synced into Notion for client teams.

Trayport★4.2 (5)· London

This Senior Systems Engineer role involves managing a Linux estate with Red Hat Satellite, IDM, AAP, and IaC tools like Ansible and Terraform, plus Kubernetes, AKS, EKS, and scripting in Bash/Python. Part of the IT team at Trayport, a trading technology company, the position focuses on administering a Private Cloud stack and supporting internal users.

T. Rowe Price★3.6 (709)· London

Work with SQL, Python, data warehouses, analytical platforms, UML, Jira, and Confluence to define and deliver strategic investment data capabilities for portfolio management, research, trading, analytics, and AI within the Investment Data Strategy & Architecture team at a global asset manager.

You will work with Python, deep learning image models, machine learning and large image and tabular datasets. The KYC Global and Onboarding Team implements ML models and systems supporting Document verification for customer onboarding. You will own the full lifecycle of these models and mentor junior team members.

Glasswall★0.0· London

You'll work with C++, C#, Python, Assembly, and tools like static/dynamic analyzers, debuggers, disassemblers, detonation chambers, and agentic AI. As a Senior Security Researcher on a small team, you'll investigate threats to Glasswall's Content Disarm and Reconstruction technology through vulnerability research, penetration testing, and malware analysis.

You will design and train custom deep-learning models and fine-tune large language models using Python, TensorFlow, or PyTorch. The work involves leading research for Kangal AI, a venture building frontier AI for governments and security clients. You will own the entire model stack and scale a research team as a founding hire.

Work with Python, Nextflow/Snakemake, SMILES/SMARTS/SAFE, molecular fingerprints, LC-MS/MS data (mzML, MSConvert), and spectral databases (GNPS, MassBank, MoNA) to build schemas, QC pipelines, and datasets. You'll join Novogaia's small team creating foundation models that predict molecular structure from mass spectrometry data for natural-product drug discovery.

You'll work with Python, reproducible/containerized pipelines, cheminformatics representations (SMILES, InChIKey, fingerprints), and computational mass spectrometry. Novogaia is an applied AI drug discovery company building foundation models for molecular structure prediction from mass spectrometry data, and you'll own the design of internal benchmarks and evaluation pipelines for these models.

Glasswall★0.0· London

Work with Python, PyTorch, Scikit-learn, Hugging Face, Git, CI/CD, and MLOps tools to build, tune, and optimize machine learning, deep learning, and generative AI models. You will design LLM-powered systems (RAG pipelines, fine-tuning, agentic AI architectures) and production-grade pipelines within the Applied AI team at Glasswall. This hands-on role includes providing technical guidance and mentoring to mid-level and junior engineers.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

Design, configure, and deploy SailPoint IdentityIQ solutions, developing workflows, rules, and connectors. Integrate with Active Directory, LDAP, HR systems, and business applications using Java. As part of AIG’s Identity and Access Management team, you will secure and manage user identities and access privileges.

Work with Python, Java, C++, TensorFlow, Keras, PyTorch, and optionally NLP, computer vision, and cloud platforms (AWS, Azure). The role at Demo Co. involves developing and implementing AI models and algorithms, integrating AI solutions into existing systems, and conducting research to enhance AI application performance.

Fitch Group★4.5 (4)· London

You’ll work with Kubernetes, Docker, AWS, Azure, Datadog, GitHub Actions CI/CD, AWS Bedrock/SageMaker, and script in Python, PowerShell, or Bash. The role embeds within Fitch

Glasswall★0.0· London

Work with DevOps tools (Terraform, CloudFormation, Ansible), cloud platforms (AWS, Azure, GCP), and programming languages (Python, Java, C#), plus CI/CD pipelines, APIs, ICAP, and proxy servers. In this pre-sales role, you will design solution architectures, deliver PoCs, and integrate Glasswall’s document-sanitization security products into customer on-premises, hybrid, and cloud environments.

Google★4.3 (6.2k)· London

Work with Python, Java, Go, C or C++, large language models, prompt development, and conversational AI frameworks. As an AI Solutions Deployment Manager on the Google Cloud Consulting Professional Services team, you guide customers through their cloud journey and help deliver agentic AI solutions for Google’s most strategic global clients.

You'll work with AWS CDK, Kubernetes on EKS, CircleCI/GitHub Actions, Lambda, ECS, Redshift, RDS, Kafka, Flink, Redis/Valkey, Datadog, and TypeScript/Python/Bash. The Platform Engineering team builds the tooling, automation, and infrastructure that development teams use to build, deploy, and run software on Sparta's commodity trading platform.

Leading an engineering team scaling from ten to one hundred, you'll work with React, Node, Mongo, and AWS to build enterprise SaaS for private equity and investment firms. This role involves managing and growing the team, driving technical strategy with the CTO, and owning processes across R&D, devops, and security.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

Millennium Management★3.8 (21)· London

Work with Python, C++, Docker, Kubernetes, Ceph, MongoDB, Kafka, Numpy, Polars, Scikitlearn, and Pytorch on a small, collaborative systematic trading team. The role involves developing real-time event-driven systems for alpha research, feature engineering, portfolio construction, and trade execution.

dunnhumby★3.9 (87)· London

You’ll work with Python, APIs, microservices, cloud platforms (AWS/GCP/Azure), large-scale data pipelines, and front-end code, using AI-assisted engineering tooling. As part of dunnhumby’s DNA retail media service, you’ll embed with brands, agencies, and retailers to ship production-ready software and turn field learning into product direction.

PlayStation★3.8 (164)· London

Design, build, and optimize data ingestion, transformation, and enrichment pipelines using SQL, Snowflake, Python, and REST APIs. You will join the Security Data Analytics team at PlayStation, developing data products and pipelines that help Information Security teams understand security posture and risk trends. This is an individual contributor role; no team size is stated.