Artificial Intelligence Jobs

310 jobs for “Software Developer cambridge”

Results

Technical Director, Safety Case

Last month

Wayve London

Owns the architecture, strategy and integrity of safety cases for robotaxi and OEM ADAS products, defining top-level claims, argumentation structures and evidence traceability. Sits independently from Engineering and Product, providing expert challenge and oversight across AI/ML, systems, validation and operational safety. Requires deep safety-case and systems engineering expertise in safety-critical domains.

Hybrid Permanent

Model Release Engineer

Last month

Wayve London

Builds Python services and microservices that orchestrate the end-to-end model-release workflow, integrating feature candidates into release branches and automating readiness checks before training. Connects training platforms, simulation and on-road testing, and productionises services on Azure and Kubernetes with observability and approval gates.

Hybrid Permanent

Senior Machine Learning Engineer

12 months ago

Faculty London

Lead the design, build and deployment of production-grade machine learning systems for clients across pharma, healthcare and other sectors. Work spans architectural decisions, scalable infrastructure, MLOps standards and mentoring junior engineers, with a strong client-facing advisory element. Requires deep Python, TensorFlow or PyTorch, and cloud plus Docker/Kubernetes experience.

Hybrid Permanent

Delivery Manager

3 weeks ago

Faculty Remote (UK)

Owns end-to-end delivery of AI transformation programmes for UK Defence clients, from scoping and planning through implementation and user adoption. Acts as the link between customers and data scientists, translating mission challenges into AI solutions while managing senior stakeholders and growing commercial opportunities. Requires UK Security Clearance eligibility and 2-4 days per week on client sites.

Remote Permanent Clearance Required

Lead Data Scientist /Deep Learning Practitioner

Last month

Capital One Mansfield

Lead the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production.

Hybrid Permanent

Lead Data Scientist /Deep Learning Practitioner

Last month

Capital One Nottingham

Leads development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Bridges R&D and production, prioritising initiatives with stakeholders and mentoring junior team members.

Hybrid Permanent

Senior Cloud Infrastructure and DevOps Solutions Architect

Last month

NVIDIA Germany

Engages directly with customers and partners to architect and validate large-scale GPU/HPC clusters, owning full-solution validation and Day 2 production stability at fleet scale. Works tool-agnostically across upstream Kubernetes, KubeVirt, Slurm, Prometheus/Grafana and Cumulus/SONiC, acting as hands-on technical leader and trusted advisor for assigned accounts.

Remote

AWS Cloud DevOps Engineer

2 weeks ago

eFinancialCareers London

Architects, deploys and supports machine learning and GenAI infrastructure on AWS, building CI/CD pipelines and turning data science models into production systems. Works within an AI Enablement team using Terraform, Jenkins, Kubernetes and SageMaker, with a focus on auditability, versioning and data security while liaising with clients on requirements.

Hybrid

Applied AI Architect, OpenAI for Government

5 days ago

OpenAI London

Senior technical owner for a portfolio of public sector customers, shaping AI strategy from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, identity, security and governance while coordinating deployment, enablement and partner specialists.

Hybrid Permanent Clearance Required

Applied AI Architect, Large Enterprise

Last month

OpenAI London

Senior technical owner for a named portfolio of enterprise customers, acting as the "CTO of your book of business" from pre-sales discovery through production adoption. Owns the technical account plan across ChatGPT Enterprise, the OpenAI API, Codex and agentic solutions, designing architectures spanning models, data, integration, security and evaluation while coordinating deployment, enablement and partner specialists.

Hybrid Permanent

Enterprise AI Architect

Last week

Amtis Professional Birmingham £80,000 – £90,000 pa

Architect end-to-end enterprise AI solutions spanning data, knowledge and process layers, covering internal processes, reporting, frontline operations and customer experience. Design and validate proof-of-concept solutions, define target architectures and reusable patterns, and lead MLOps and model deployment pipelines for LLMs, agentic and generative AI. Work hybrid in the West Midlands across IT, data, security and business teams to move PoCs toward production.

Hybrid Contract
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Senior Engineering Manager

4 months ago

Multiverse London

Leads the Diagnose & Prescribe engineering team, owning delivery, technical direction and team health across AI-heavy services for learner diagnosis, eligibility and recommendations. Stays hands-on with distributed designs, RabbitMQ event schemas, API contracts and production code while carving logic out of a legacy monolith into dedicated services.

Hybrid Permanent Clearance Required

Vice President, Data Science

4 months ago

eFinancialCareers London

Leads the design, development and operation of high-rigor analytical and machine-learning systems across a complex, regulated financial-services estate, defining the AI/ML roadmap while remaining hands-on. Owns the full model lifecycle from feature engineering and back-testing to deployment, monitoring and incident response, with models expected to be explainable and production-grade. Works closely with engineering, data platform and product teams, mentoring other data scientists with limited line management.

Hybrid Permanent

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