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.

JPMorgan★3.9 (20k)· London

Cisco VPN infrastructure, Cisco ASA, ISE, CSM, Firepower/FDM, FTD/FMC, SASE, ZTNA, routing (BGP/OSPF/EIGRP), security protocols (IPsec/SSL/TLS/RADIUS/TACACS+), and automation tools (Ansible, Python, NSO, DNA Center, Terraform, Prime Infrastructure). You will design, implement, and operate enterprise VPN services enabling secure remote connectivity for the global workforce within the End User Compute organization at JPMorgan Chase.

You'll work with Microsoft Fabric, PySpark, Python, T-SQL, DAX, Infrastructure as Code, Git, and Azure DevOps. You'll design, build, and maintain data pipelines, lakehouses, and data warehouses within Fabric to drive business intelligence and analytics.

Version 1★3.9 (39)· London

Technologies include AWS security services, Python, Terraform/CloudFormation, and GitLab CI/CD. You embed within a large-scale cloud migration programme moving workloads to AWS, designing, automating, and enforcing security controls throughout the migration lifecycle.

You will work with REST APIs, FIX protocol, JSON, SQL, command-line tools, and Python scripting to lead technical implementations and connectivity integrations for institutional clients. The role manages end-to-end onboarding of exchanges, liquidity providers, and clients onto Talos’ institutional-grade digital asset trading platform, handling platform configuration and troubleshooting. This is an implementation-focused role, not production support, requiring 3+ years of capital markets or fintech experience.

Uses SQL, Python or scripting, BI tools like PowerBI/Looker/Tableau, spreadsheets, and Git to investigate fraud and build dashboards. The role sits in fraud analytics at Moniepoint, an all-in-one financial services platform powering POS transactions and banking across Nigeria and emerging markets.

Intercontinental Exchange★3.2 (156)· London

This is a senior product development role at ICE Data Indices in London, where you will design custom equity and commodity index methodologies using Python, advanced Excel, and the ICE Index Platform. You will engage directly with institutional clients and collaborate with quant and development teams to implement and validate indices. The role requires deep knowledge of equity and commodity index construction, including factor-based, ESG, and thematic approaches.

You'll work with the Natterbox platform including Voice AI Agents, Salesforce, telephony systems, and AI tools (LLM assistants, prompt-based workflows, internal AI agents). As a Solutions Engineer, you deliver technical wins in sales cycles by demonstrating the platform, designing solutions, and collaborating with Account Executives and partners.

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.

You'll work with Google Ads Scripts, APIs, SQL, AI/LLMs, value-based bidding, and automation tools to own VOY's multi-million-pound UK paid search channel and scale it internationally. The role involves building bidding systems, search strategies, and measurement with Data, Product, and CRO teams.

Claude, Zapier, Make, Monday.com, HubSpot, Notion, Airtable, and low-code/no-code tools. Leading an influencer agency's AI and automation strategy, driving tool adoption (especially Claude), building workflow automations, and managing system integrations. The role partners with the Operations Director to set strategy and deliver measurable efficiency gains across the business.

Trayport★4.2 (5)· London

You will work with AWS (VPC, EKS), Azure (AKS, AKV), Terraform, Kubernetes, CI/CD, and AI tools (Copilot, LLMs). You will design, build, and operate the infrastructure for a global trading platform, leading AI adoption to automate operations and reduce toil. This role is 70% hands-on engineering and 30% technical leadership, mentoring the Platform and Operations teams.

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.

JELLYFISH★3.5 (32)· London

The role focuses on building and extending an agentic delivery stack using tool APIs, MCP servers, AI harnesses, agentic operating systems, and Python. You will drive agentic delivery and adoption both inside Jellyfish, a global digital marketing agency, and with its enterprise clients. This is a 4-month fixed-term contract.

No specific technologies, languages, or tools listed. Moth builds tools for Entertainment, Media, and Creative industries, democratizing quantum computing for creators. The team is described as a small, dynamic, hands-on operations team.

JustPark★2.7 (6)· London

You’ll build agents/tools using Claude Code, working with Asana, Jira, Salesforce, Slack, Zendesk, Git, and APIs via Postman. You’ll partner with commercial, marketing, finance, operations, success, and support teams to map processes, automate workflows, and upskill internal teams. You’re a technical generalist solving high-autonomy, cross-department inefficiencies at a unified B2B/B2C parking platform.

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.

Work with Python, RDKit, Biopython, OpenMM, MDAnalysis, and open-source computational chemistry workflows for docking, virtual screening, SAR, QSAR, ADMET, and cheminformatics. You will guide and evaluate AI-driven drug discovery workflows, ensuring agent-generated optimization plans and modeling are chemically sound, and lead computational chemistry strategy on active drug programs when needed.

Work with OpenMM, OpenFE, molecular dynamics, MM/GBSA, and free-energy perturbation (RBFE/ABFE) to build validated biophysics workflows for Lila Sciences’ agentic drug discovery platform. Define scientific requirements and validation standards so AI agents can reliably use biophysics tools. Collaborate with computational scientists, ML researchers, and research engineers.

Bloomberg★3.8 (1.1k)· London

You will define the strategy for Bloomberg’s internal AI Platform Experiences & Integrations, focusing on agent-driven interfaces, copilots, and workflow orchestration. The role involves shaping next-generation interaction patterns using emerging agentic protocols (MCP, A2A) and developer workflows.

Relay Technologies★2.0 (9)· London

At Relay Technologies you will build and own time-series forecasting models for parcel volume, inbound international volume, and parcel size/weight, using Python and ML frameworks. You will work on the Network squad’s demand-forecasting engine that predicts parcel movement across sortation, middle-mile, and last-mile operations, directly affecting cost per parcel. This is a hands-on individual-contributor role, serving as the technical anchor for Demand Forecasting, collaborating with a Senior Data Scientist, ML Engineer, and Analyst.

You will work with Python, SQL, BM25, vector search, reranking, RAG, and agentic systems to own and evolve Corestream, Kharon’s risk intelligence feed that surfaces entity-level insights and risk narratives for customers in global security, sanctions, and financial crimes.

Python, SQL, BM25, vector search, reranking, and RAG pipelines powering agentic systems. You will own and evolve Corestream, Kharon’s risk intelligence feed, redesigning semantic search and narrative generation for global-security insights.