Peterborough, Cambridgeshire, East Anglia, United Kingdom
Randstad Digital
We are hiring a Systems Engineer to join our Energy and Electrification Solutions team. You will be the technical owner ensuring the reliability and validation of critical digital systems supporting product planning and logistics. Core Responsibilities Develop system boundary diagrams for digital components (controllers, telematics, applications). Lead the development and execution of Failure Mode Effect Analysis (FMEA) . Create … and document comprehensive validation plans in collaboration with cross-functional subject matter experts (SMEs). Support testing, working with simulation engineers to validate failure modes. Required Experience Candidates must demonstrate previous success in: Product/service development involving digital delivery (IT, software, or engineering data). High-level organization, prioritization, and planning skills. The capability to influence and drive solutions More ❯
industry standards. Lead, mentor, and develop a team of QA Engineers to deliver quality objectives and ensure full compliance. Collaborate closely with Architecture, Analog, Digital Design, Verification, DFT, Software, Validation, Packaging, and Manufacturing teams to uphold quality standards and verify that all design and process changes meet reliability and compliance requirements. Continuously assess and improve processes to boost efficiency, reduce … experience in Quality Assurance within the semiconductor industry, ideally covering mixed-signal or aerospace applications. Strong knowledge of end-to-end VLSI flows, including architecture, design, verification, DFT, software, validation, packaging, and manufacturing. Familiarity with aerospace or automotive quality and traceability standards. Apply for further details More ❯
systems, and define the tech stack Have significant input on the AI strategy and roadmap Design agentic architectures Optimise for production scale Pioneer multi-modal category-specific analysis Build validation & evaluation infrastructure Drive ML innovation in the category Steer the future of the categories AI You will have: Actively used AI in your workflows Deployed AI systems at scale Built … be interesting if you have: Contributed to the AI/ML community (open-source, publications, talks) Experienced optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working More ❯
systems, and define the tech stack Have significant input on the AI strategy and roadmap Design agentic architectures Optimise for production scale Pioneer multi-modal category-specific analysis Build validation & evaluation infrastructure Drive ML innovation in the category Steer the future of the categories AI You will have: Actively used AI in your workflows Deployed AI systems at scale Built … be interesting if you have: Contributed to the AI/ML community (open-source, publications, talks) Experienced optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working More ❯
london (city of london), south east england, united kingdom
Tech Talent Partners
systems, and define the tech stack Have significant input on the AI strategy and roadmap Design agentic architectures Optimise for production scale Pioneer multi-modal category-specific analysis Build validation & evaluation infrastructure Drive ML innovation in the category Steer the future of the categories AI You will have: Actively used AI in your workflows Deployed AI systems at scale Built … be interesting if you have: Contributed to the AI/ML community (open-source, publications, talks) Experienced optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working More ❯
systems, and define the tech stack Have significant input on the AI strategy and roadmap Design agentic architectures Optimise for production scale Pioneer multi-modal category-specific analysis Build validation & evaluation infrastructure Drive ML innovation in the category Steer the future of the categories AI You will have: Actively used AI in your workflows Deployed AI systems at scale Built … be interesting if you have: Contributed to the AI/ML community (open-source, publications, talks) Experienced optimising AI models through fine-tuning, distillation, or human-in-the-loop validation Preferably looking for Computer Science graduates with at least 1 year working in a core AI engineering role within an AI-first company and 3 years experience or more working More ❯
test, and manufacture our robots. The Business AI Lead – Engineering will be central to this transformation, helping our engineers use AI as a co‐engineer: accelerating design iteration, simulation, validation, and manufacturing readiness. As Business AI Lead – Engineering, you will identify, develop, and scale AI solutions that enhance productivity, reliability, and innovation across our full engineering value chain. You will … and IT groups to embed AI into the way we work every day. What You’ll Do: 1.AI Enablement for Engineering Identify high‐impact use cases across R&D, validation, and production engineering. Deploy AI copilots, simulation tools, and optimization engines into engineering workflows. Define measurable performance gains and lead pilot‐to‐scale deployment cycles. 2.Integration & Collaboration Work with IT More ❯
test, and manufacture our robots. The Business AI Lead – Engineering will be central to this transformation, helping our engineers use AI as a co‐engineer: accelerating design iteration, simulation, validation, and manufacturing readiness. As Business AI Lead – Engineering, you will identify, develop, and scale AI solutions that enhance productivity, reliability, and innovation across our full engineering value chain. You will … and IT groups to embed AI into the way we work every day. What You’ll Do: 1.AI Enablement for Engineering Identify high‐impact use cases across R&D, validation, and production engineering. Deploy AI copilots, simulation tools, and optimization engines into engineering workflows. Define measurable performance gains and lead pilot‐to‐scale deployment cycles. 2.Integration & Collaboration Work with IT More ❯
london (city of london), south east england, united kingdom
Humanoid
test, and manufacture our robots. The Business AI Lead – Engineering will be central to this transformation, helping our engineers use AI as a co‐engineer: accelerating design iteration, simulation, validation, and manufacturing readiness. As Business AI Lead – Engineering, you will identify, develop, and scale AI solutions that enhance productivity, reliability, and innovation across our full engineering value chain. You will … and IT groups to embed AI into the way we work every day. What You’ll Do: 1.AI Enablement for Engineering Identify high‐impact use cases across R&D, validation, and production engineering. Deploy AI copilots, simulation tools, and optimization engines into engineering workflows. Define measurable performance gains and lead pilot‐to‐scale deployment cycles. 2.Integration & Collaboration Work with IT More ❯
