498 jobs for “Developer Relations Manager Uk&I”
Faculty
Lead high-impact AI safety projects for Frontier Labs, inventing novel evaluation frameworks and designing robust software architectures. Mentor technical team members, partner with commercial teams on scoping, and advance the science of AI evaluations through research and thought leadership.
Python · NumPy · Pandas +2
OpenAI
Partner directly with engineering organizations to design, build, and deploy AI-powered software development workflows using Codex, from use-case selection through prototyping, evaluation, and production rollout. Combines hands-on coding in Python with customer leadership, building evaluation harnesses, integrations, and reusable architectures while feeding deployment insights back to Product and Research teams.
Codex · OpenAI · OpenAI Cookbook
Wayve · 11–50 people · Series A
Develops and maintains Wayve's Core Simulation system in modern C++ and Python, integrating driving-stack components, simulated robot systems and vehicle-platform capabilities. Initially focused on high-scale open-loop evaluation, the role involves debugging on-road versus simulated behaviour, improving reproducibility, observability and automated testing, and profiling simulator performance across a shared codebase.
GenAI Development Tools
Latent Labs
Work at the interface between frontier generative models and pharmaceutical/biotech customers, deploying, adapting and fine-tuning models in customer environments. Build production-grade API integrations, model-serving infrastructure and ML data pipelines, while acting as technical point of contact for partners. Combines deep ML research with customer-facing delivery in an interdisciplinary team.
AlphaFold · NeurIPS · ICML +1
Sustain Recruit
Hands-on role driving AI adoption and business process automation across a group of construction, housebuilding and EV technology businesses. Initial focus is automating finance workflows like invoices, bookkeeping and VAT, plus Microsoft 365 and SharePoint IT support. Works directly with senior leadership, with scope to build bespoke AI solutions.
Microsoft Copilot · Claude · ChatGPT +3
Medtronic · 10000+ people · Public
Designs, builds and maintains AWS and on-prem infrastructure used by ML engineers, data scientists and product teams, with a strong focus on Kubernetes, Helm, Terraform/OpenTofu and GitOps delivery. Also handles platform service requests, incident diagnosis and reliability improvements, working across engineering teams in a surgical AI centre of excellence.
Kubernetes · Helm · AWS +4
Involved Solutions
Design, develop and maintain scalable Python applications, taking ownership from design through to deployment. Integrate AI and Generative AI tools into development processes while contributing to system architecture, code quality and performance optimisation. Work fully on-site in Ipswich, collaborating with technical teams and business stakeholders on projects blending traditional engineering with modern AI capabilities.
AWS · Azure · GCP +3
Mason Frank International
Design and own end-to-end architecture for digital commerce and customer experience platforms, translating business requirements into scalable cloud-native solutions. Lead technical design, governance and risk mitigation while mentoring distributed teams and presenting to senior stakeholders. Involves Salesforce Commerce Cloud and other commerce technologies, with exploration of AI use cases.
Salesforce Commerce Cloud · commercetools · SAP Commerce Cloud +2
Helsing
Architect and scale the deep learning frameworks and distributed training infrastructure behind defence AI systems, extending PyTorch-based tooling and optimising GPU throughput. The role spans data strategy, storage and orchestration, working cross-functionally to maximise training efficiency and developer velocity.
PyTorch · JAX · TensorFlow +5
Darktrace · 2001–5000 people · Late stage
Partners with developers and product teams to embed quality from the start, designing and maintaining automated test frameworks across API, UI, integration and regression layers. Builds scalable suites into CI/CD pipelines, drives shift-left testing, and contributes to test strategy, code reviews and architecture discussions.
Cypress · Playwright · pytest +7
Synthesia · 51–200 people · Series e
Hands-on principal IC role owning the ML platform that lets researchers and product teams train, serve and deploy generative models. Work spans research infrastructure, production serving, internal tooling and agent-oriented automation, with a focus on reliability, scalability and GPU/cloud resource efficiency. Distinct for its systems-generalist framing rather than pure ML engineering.
Kubernetes · Terraform · Datadog +4
Entrust · 501–1000 people · Late stage
Builds and operates production ML systems for document classification and extraction, using LLMs/VLMs and traditional ML to process government identity documents at scale. Owns features from RFC through deployment, optimising GPU inference and training/evaluation pipelines, and mentors engineers within a squad-based team.
AWS · Kubernetes · TensorFlow +4
Isomorphic Labs · 201–500 people · Series A
Join a newly formed LLM Engineering team to architect and own systems bringing large language models into scientific and business processes. Work spans LLM serving stacks, agentic infrastructure, RAG, evaluation frameworks, and fine-tuning, partnering with researchers to translate scientific needs into technical AI specifications.
vLLM · GCP · MCP
Entrust · 501–1000 people · Late stage
Builds and operates production ML systems for document classification and extraction, using VLM/LLMs and traditional ML to power identity verification for millions of users. Leads technical design from RFC to deployment, optimises GPU inference, and designs training, evaluation and labelling pipelines. Works in a squad-based team alongside Applied Science, Product and Data Science, mentoring engineers and driving reliability and scalability.
TensorFlow · PyTorch · Triton +2
AI Security Institute · 501–1000 people · Public
Senior individual contributor building and owning shared platform, tooling and infrastructure for a research team, including LLM-based agent systems, evaluation frameworks and supporting infrastructure. Works closely with interdisciplinary researchers to translate varied needs into maintainable Python systems, with strong engineering discipline around testing, documentation and observability. Also contributes to architectural decisions, engineering standards and mentoring through code review and knowledge sharing.
AWS · Kubernetes · Slurm +2
