4 of 4 Remote/Hybrid Workflow Jobs in Cambridgeshire

Agentic AI Engineer (life sciences)

Hiring Organisation
Jobleads-UK
Location
Cambridge, England, United Kingdom
scientists and engineers you partner with, and started turning their feedback into concrete improvements. In 6 months you have: Taken at least one agentic workflow from idea to a production tool scientists use in our drug discovery pipeline – built on our framework, with sensible evaluation and documentation. Operating with real ...

Service Desk Analyst

Hiring Organisation
Leidos Innovations UK Limited
Location
Huntingdon, Cambridgeshire, East Anglia, United Kingdom
Employment Type
Permanent
Salary
£45,000
Premise),AD Manager Plus, andEndpoint Central. Automation Logic:Proven ability to build IF/THEN conditions, Wait Nodes, and Approval Stages within the SDP Workflow Editor. Active Directory:Expert knowledge of AD, including GPOs and group nested permissions. Integration Skills:Experience usingAPI Key/Authtokensto link ManageEngine products or connect ...

AI-First Infra Architect & Global DevTools Leader

Hiring Organisation
Jobleads-UK
Location
Cambridge, England, United Kingdom
candidate has a Bachelor's in Computer Science or a related field and extensive experience at a senior level. Responsibilities include architecting cross-functional workflow automation and establishing standards for developer productivity tools. The role fosters innovation and has a flexible hybrid work approach. #J-18808-Ljbffr ...

Senior Software Engineer, Infrastructure / Efficiency / Productivity

Hiring Organisation
Jobleads-UK
Location
Cambridge, England, United Kingdom
engineer to be a true force multiplier by owning the strategy, architecture, and long-term execution of engineering infrastructure, enterprise tooling, and AI-assisted workflow automation. This architect/strategist role drives org-wide improvements in engineering productivity, delivery throughput, quality, security posture, and cost efficiency by building platforms, working … Engineering Infrastructure and Enterprise Tooling (e.g., reducing waste, accelerating reviews, improving incident response, increasing release confidence). Architect and ship AI/LLM-enabled workflow automation across the SDLC (e.g., risk assessment, automated build, test and deployment, intelligent test selection, change-impact analysis, auto-triage of build/test failures ...