14 of 14 Machine Learning Jobs in Cambridge

silicon utilization. Responsibilities Investigate future graphics and AI workloads to inform long-term architectural direction. Develop compute architectures that integrate graphics processing capabilities with machine learning acceleration. Evaluate approaches for combining dedicated hardware accelerators with shared programmable compute resources. Design execution units capable of supporting mixed workloads, including … design teams. Contribute to overall system architecture decisions involving power budgets, thermal limits, and physical layout. Ensure hardware architecture aligns with evolving graphics APIs, machine learning frameworks, and runtime environments . Support modelling, benchmarking, and performance analysis across development stages. Required Experience 15+ years of experience ...

Senior Machine Learning Engineer - Agentic AI Platform Location: Central Cambridge (Hybrid) | Permanent | In partnership with Robert Half The Opportunity Join a global SaaS company building a cutting-edge multi-agent AI platform for enterprise data. This hands-on role focuses on scaling, hardening, and refining a graph-based ...

frameworks such as React, Angular, or Vue. Experience working with cloud platforms such as AWS or Google Cloud. Exposure to data analytics or machine learning concepts. Knowledge of 5G, LTE, WAN technologies, or network management systems. Experience with geospatial mapping or GIS tools. Who You Are: A motivated ...

across multiple projects concurrently and adapting to varied technical challenges Collaborating with multidisciplinary engineers to integrate software with hardware and wider system components Rapidly learning and applying new technologies Contributing to problem-solving throughout the development process Supporting software used to control hardware platforms, sensors, or custom devices Requirements … technologies quickly Working knowledge of Python Desirable (Not Essential) Experience interfacing software with hardware or embedded systems Familiarity with computer networking Experience with deep-learning frameworks (TensorFlow, PyTorch) Understanding of machine learning, statistics, optimisation, or algorithm development Experience developing mobile applications (iOS and/or Android) Suitable ...

Proven experience in a product leadership role, managing a high performing team Knowledge of auction theory, bidding and pacing strategies, dynamic pricing models or machine learning concepts related to auctions or marketplaces Experience with the following: Championing a product vision and being accountable for its success. Structuring work ...

limits, gain stages, timing jitter) Modelling RF front-end behaviour (filters, mixers, LOs, AGC, noise figure) to improve signal integrity and inference accuracy Developing ML and statistical models for RF classification, anomaly detection, and emitter identification Prototyping real-time or batch-processing systems in Python (NumPy, SciPy, PyTorch) with potential … principles (impedance matching, filter design, gain budgeting) Experience designing or testing antenna arrays for sensing/detection Publications, patents, or open-source RF/ML contributions Role Details Location: Cambridge area (onsite or hybrid depending on project needs) Department: Research & Prototyping Team Impact: Direct involvement in early-stage hardware–software ...

choice of deployment technology for the backends. Your responsibilities will include Compliance and security of IT systems, installing server hardware, supporting HPC/machine learning workloads behind APIs as well as maintaining internal compute systems. Previous experience of working within an AI orientated company is highly beneficial. Your … highly experienced Linux Infrastructure Engineer/Systems Administrator and have an interest with physics based simulation and are keen to support ML/AI systems, this is a great opportunity to be part of a thriving Company where technology meets sustainability. ...

right treatment approach is well-established but undeliverable at scale. We’re changing that. Our team has deep expertise across clinical, engineering and machine learning, has a track record of healthtech innovation, and is backed by top-tier VCs and multiple unicorn founder angels. If you like Solving ...

Responsibilities Own the technical vision and architecture of the OpenExpert.AI Digital SME platform Build and lead a world-class engineering team across AI/ML, data, and full-stack Develop multi-modal AI systems for diagnostics, reasoning, and predictive analytics Drive rapid product development from prototype to customer pilots Ensure … Head of AI) Proven ability to build and scale engineering teams and ship complex products from concept to production AI/ML Expertise Deep experience with LLMs, multi-modal models (time-series, sensor, imagery, text), explainable AI, knowledge graphs, and real-time predictive analytics Track record building enterprise-grade ...

signals into actionable compound discovery and optimisation, powering a pipeline across: Discovery → Prediction → Design → Validation We are looking for a Senior Computational Biologist with ML Engineering background to help build, bridge, and functionalise the link between AI-powered biological discovery and real-world clinical outcomes. This role sits across biological … discovery and scalable ML engineering. You will own key parts of the end-to-end architecture from data to model to evaluation to deployment, and work closely with ML engineers and software engineers to productise the platform into client-ready outputs. This is a senior role with significant autonomy ...

Technical Leadership Lead migration of legacy applications to cloud-native AWS architectures Build DevOps automation to support SRE practices Establish AI/ML development standards and frameworks Set observability, monitoring, and incident response standards Promote best practices in web, event-driven, and cloud-native technologies Provide technical expertise and oversee … code reviews People Leadership Manage and mentor a team of 4-8 developers, providing coaching, development plan Identifying training needs in AI/ML and SRE. Support recruitment and foster a culture of continual improvement and wellbeing. Delivery & Collaboration Deliver software in agile squads Collaborate with architects, SREs, product owners ...

computer vision, optimising models and video pipelines under performance and latency constraints. Close collaboration with systems engineers. Essential Skills & Experience Strong Python experience for ML and inference workflows Hands-on experience with PyTorch Solid grounding in computer vision fundamentals (object detection, tracking, classification) Experience deploying models into production environments Practical … Edge AI or embedded GPU platforms Real-time or multi-stream video pipelines TensorRT, ONNX, or similar optimisation toolchains Linux-based development environments Containerised ML or inference deployments Experience balancing model accuracy vs. inference speed in constrained environments Profile Sought Engineer who remains hands-on with models and code Comfortable ...

Head of Software to lead a multidisciplinary software department. The successful candidate will manage a talented team across embedded software and AI/ML projects, ensuring quality delivery and fostering continuous improvement. Ideal applicants will have experience in technical leadership, team management, and client relationship building. The firm offers ...

technically capable individual to lead a multidisciplinary software department, reporting to the SVP of Engineering. Working across embedded software, DSP, FPGA and AI/ML, our software department supports technologies such as radar, sensing, communications, and an ever‐growing range of client projects across sectors as diverse as defence … across the group. Responsibilities will include: Manage and grow a capable, responsive, motivated, and delivery-focused team across embedded, DSP, FPGA, and AI/ML software and firmware. Lead active succession planning and capacity planning activities, hiring and developing people as necessary to ensure that the software department ...