Artificial Intelligence Jobs

462 jobs for “Software Developer cambridge”

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Thought Machine

Cloud Support Engineer

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  • London
  • Hybrid
  • Mid-level
  • Permanent

Owns and resolves high-priority incidents across hosted SaaS and bank-hosted Vault deployments, acting as a domain expert in Vault Core. Builds tooling, dashboards and automation to improve observability and support delivery, partnering with Engineering and Product on platform stability. Leads escalations end-to-end and mentors across client, product and engineering boundaries.

Grafana · Prometheus · EFK +7

11 months ago

Thought Machine

Technical Programme Manager

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  • London
  • Hybrid
  • Mid-level
  • Permanent

Technical Programme Managers own the delivery of complex, multi-team engineering programmes, from planning and milestones through to coordination and stakeholder communication. The role requires hands-on understanding of microservice stacks such as Kubernetes, Kafka and AWS/GCP, and involves driving continuous improvement across a fast-paced engineering organisation.

Kubernetes · Kafka · AWS +2

11 months ago

NVIDIA · Public

Senior Solutions Architect, Higher Education and Research - Open Models and LLM

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  • United Kingdom
  • Remote
  • Senior

Acts as the primary technical contact for academic and research partners, embedding NVIDIA's frameworks and software stack into large-scale AI and HPC workloads. Drives joint research projects, delivers workshops and trainings, and feeds researcher needs back to engineering. Requires deep LLM lifecycle expertise across multi-node systems and involves around 30% travel.

NVIDIA AI Enterprise · NeMo Framework · Megatron Bridge +7

2 weeks ago

Profile 29

Verification Engineer

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  • Witney
  • Hybrid · 3 days in office
  • £45,000 – £65,000 pa

Contribute to the design, development, verification and certification of embedded safety-critical systems providing runtime assurance for autonomous platforms. Define verification strategies, build test frameworks and certification evidence aligned with DO-178C, and perform requirements-based testing and traceability. Work in a specialised team on mathematically verifiable software foundations for aerospace and land autonomy.

DO-178C · ISO 26262 · IEC 61508 +4

3 weeks ago
Hadean logo

Hadean · 11–50 people · Series A

Engineering Manager - AI Defence Product (dominAI)

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  • London
  • Hybrid · 1 day in office
  • Senior · manages people
  • Permanent

Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.

TypeScript · React · Node

SC clearance Last week
AI Security Institute logo

AI Security Institute · 501–1000 people · Public

Research Scientist – Human Influence

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  • London
  • Mid-level

Design and lead rigorous studies on how frontier AI systems influence human decisions, including large-scale RCTs, model evaluations, red teaming and participatory methods. Work spans computational social science, AI safety and machine learning, with opportunities to publish and shape the team's research agenda alongside government and frontier lab stakeholders.

Claude Code · Codex

SC clearance 4 days ago

M4 Partners

Data Scientist

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  • Stratford-upon-Avon
  • Remote
  • Mid-level
  • Contract

Hands-on product development role building and improving machine learning and AI capabilities for an in-house AI platform, taking ideas from business requirements through experimentation, evaluation and deployment. Focus on producing reliable structured JSON outputs, AI workflows for extraction, classification, retrieval and summarisation, plus evaluation datasets, monitoring and API integration with developers.

AI APIs · Vector Databases · Model Context Protocol +1

6 days ago

Faculty

Frontend Engineer

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  • London
  • Hybrid
  • Mid-level
  • Permanent

Builds client-facing products that visualise insights from data scientists, working in cross-functional delivery teams within the National Security and AI Safety unit. Owns frontend standards and reusable component libraries across the company, sets up deployment infrastructure, and mentors other engineers. Requires React, TypeScript, ES6, HTML/CSS3 and data visualisation such as d3, with cloud exposure to AWS, GCP or Azure.

React · D3 · AWS +3

DV clearance 2 weeks ago

Wayve · 11–50 people · Series A

Senior ML Performance Engineer, Inference Optimisation

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  • London
  • Hybrid
  • Senior
  • Permanent

Hands-on role optimising inference for edge accelerators and GPUs so large transformer models run efficiently on low-cost, low-power in-vehicle compute. You'll profile model graphs, compiler/runtime behaviour and kernel execution, implement optimisations like fusion, scheduling and custom kernels, and build benchmarking and regression tests across NVIDIA Orin/Thor and Qualcomm targets, working closely with model, platform and deployment teams.

TensorRT · CUDA · Qualcomm QNN +6

Visa sponsorship Last month

ElevenLabs

Full-Stack Engineer (Backend Leaning) - Platform Engineering

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  • United Kingdom
  • Remote
  • Permanent

Builds core platform foundations covering workspaces, user management, API keys, login, analytics and admin tooling, or generic resource and permissioning services used by product teams. Works on systems on the path of every request for millions of users, scoping changes in a large existing codebase, rolling out safely and debugging from customer reports and logs. Backend leaning with Python, shipping customer-facing features end to end.

OAuth · SSO · SCIM +2

6 days ago

Faculty

Machine Learning Engineer

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  • London
  • Hybrid
  • Permanent

Deliver bespoke, production-grade machine learning systems for government and national security clients, covering the full ML lifecycle from scoping and architecture to deployment. Work with Python, Scikit-learn, TensorFlow or PyTorch, plus cloud platforms and Docker/Kubernetes, while advising stakeholders and defining standards for deploying ML at scale.

Scikit-learn · TensorFlow · PyTorch +5

DV clearance Last month

Copello

FPGA Engineer

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  • Bristol
  • Hybrid
  • £80,000 – £900,000 pa
  • Senior
  • Permanent

Take technical ownership of FPGA and programmable logic design for advanced gimbal payload systems, covering video capture and processing, sensor and high-speed serial interfaces, and real-time pointing and stabilisation control. Work spans RTL design, simulation, synthesis, timing closure and hardware bring-up, taking in-house boards from prototype to qualified production while mentoring other engineers.

Altium · Oscilloscopes · Logic Analysers +1

Last month

83zero

Salesforce AI Engineer

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  • London
  • Hybrid
  • £75,000 – £90,000 pa
  • Mid-level
  • Permanent

Design and build intelligent Salesforce solutions, integrating AI capabilities such as Einstein, Prompt Builder and Agentforce into platforms and workflows. Work with business, product and engineering teams to translate complex requirements into scalable technical solutions, optimising data models, automation and integrations with enterprise systems using Apex, LWC and APIs.

Salesforce · Sales Cloud · Service Cloud +7

Last month

ElevenLabs

Full-Stack Engineer

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  • United Kingdom
  • Remote
  • Permanent

Build and maintain front-end and back-end components of a generative AI voice product suite used by millions, shipping end-to-end features with high ownership. Work spans Python, TypeScript/React, APIs, cloud infrastructure and large-scale datasets, collaborating with Engineering, Growth and Sales in lean autonomous teams.

Python · TypeScript · React

26 months ago
Isomorphic Labs logo

Isomorphic Labs · 201–500 people · Series A

ML Research Engineer, London

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  • London
  • Hybrid · 3 days in office
  • Senior

Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. They design and run experiments, analyse model performance, and advise on bringing models to production, working closely with research scientists in a cross-disciplinary team.

JAX · PyTorch · XLA +6

Last month

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