455 jobs for “Engineering”
Faculty
Lead technical direction on complex, business-critical AI projects for the Life Sciences team, partnering with pharma, academic and regulatory clients. Combines hands-on machine learning expertise with project roadmapping, technical risk management and mentoring of cross-functional data science teams.
Metaview
Faculty
Lead the design, build and deployment of production-grade machine learning systems for clients across life sciences, government and finance. Work spans architectural scoping, scalable cloud and Kubernetes infrastructure, and acting as a trusted technical advisor to customers while mentoring junior engineers.
TensorFlow · PyTorch · AWS +4
Cohere
Research engineering role on the integration team, building and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale distributed RL methods. Day to day involves writing high-performance training software, developing research tooling, and collaborating with infrastructure, efficiency, serving and scientific teams to improve SFT, offline preference and RL training cycles.
JAX · PyTorch · XLA +3
Cohere
Forward deployed engineer building and shipping LLM-powered agentic workflows for enterprise customers, from early prototypes to production-grade agents. Works directly with clients in finance, healthcare and telecoms, integrating models with tools, APIs and sensitive data, and contributing features to Cohere's North AI workspace platform.
North · LLM · RAG +3
ElevenLabs
Design, build and maintain open source SDKs, client and server libraries and an MCP server to drive developer adoption, while shaping the ElevenLabs API and developer tooling. Acts as "customer zero" for new developer products, jumping across languages and the stack, with scope to write technical content and speak at conferences.
MCP
Harnham - Data and Analytics Recruitment
Lead and build a data science function at a fintech, owning strategy across risk, affordability and lending decisioning. Hands-on work designing and deploying machine learning models using credit risk, Open Banking and customer data, with a focus on model governance, MLOps and AI-powered decisioning alongside Product, Engineering and Credit Risk teams.
Python · SQL · MLOps +1
Cambridge Consultants
Lead signal processing design and integration project teams, architecting software for high-performance hardware and contributing to multi-domain system design. Work across wireless, telecoms, audio and semiconductor clients, acting as design authority and providing technical leadership while supporting sales campaigns and proposals.
Capital One
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 in a hybrid Nottingham office.
PyTorch · TensorFlow · Hugging Face Transformers +2
NVIDIA · Public
Engage a small set of strategic software companies to integrate NVIDIA's AI and computing platforms into their products, acting as a trusted technical advisor on agentic AI, open models and GPU-accelerated computing. Provide sample code, SDKs and demo pipelines to accelerate onboarding, while mapping the developer ecosystem and feeding field insights back to product teams. Also represents NVIDIA at industry and developer events.
NVIDIA · NIMs · SDKs
Capital One
Leads 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. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working hybrid from the Nottingham office three days a week.
PyTorch · TensorFlow · Hugging Face Transformers +2
Maxwell Bond
Hands-on role building LLM agent and retrieval systems on a small UK core team, reporting to the Head of Engineering. Work spans LangGraph/LangChain workflows, RAG pipelines with Qdrant and GraphRAG on Neo4j, model integration across Anthropic, OpenAI and Bedrock, plus evaluation harnesses and observability. Token cost, latency and auditability are treated as engineering constraints throughout.
LangGraph · LangChain · FastAPI +7
Ocado · 501–1000 people · Public
On-site systems support role in Tokyo, monitoring business systems and resolving logged incidents to keep Ocado's automated grocery operations running. Works within a shift team covering 24x7 operations, handling bot recoveries, failed tasks, pick support issues and hardware, software and networking faults while liaising with engineering and other technology teams.
Cambridge Consultants
Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.
Transformers · Edge AI
Candour
Joins a core team of data scientists, engineers and analysts working in small teams on a two-week review cycle, delivering minimum viable solutions that scale. Covers the full data science lifecycle, from exploratory analysis and model building to deployment, monitoring and retraining of production models, while working with business stakeholders on pricing, customer intent and decision-making. Combines hands-on Python and TDD work with clear communication of findings.
pytest
NVIDIA · Public
Hands-on compiler engineering focused on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs, solving complex compilation problems for AI inference and training workloads. Works with MLIR, C/C++ and Python, collaborating with software, hardware and research teams on hardware/software co-design and datacenter-scale AI deployment.
MLIR · GPU · CPU +1
