101 to 125 of 142 Machine Learning Jobs in Cambridgeshire

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

evolve our cloud, data and AI infrastructure underpinning our genomics-first platform. You will lead AWS platform engineering, data systems and AI/ML workloads, collaborating with cloud and data engineers, bioinformaticians and scientists to deliver secure, scalable solutions. This is a senior IC role with technical leadership and accountability. ...

translate questions into agent designs and integrate them with our knowledge graph and literature sources. You’ll join a cross-functional team of ML engineers, software engineers and bioinformaticians, contributing to production-ready tools and rigorous evaluation. Hybrid working and career growth supported. #J-18808-Ljbffr ...

languages they require, instead they seek versatile candidates with strong knowledge of at least one programming language. Areas you could be involved with include ML systems, signal processing and software defined radio. The platforms you work on will vary from the cloud down to small low-power electronics and anything ...

Partner Enablement group is seeking an experienced Applications Engineer to support Computer Vision and Machine Learning software solutions deployed by OEMs, ODMs and ecosystem partners on Arm-based systems. You will work with engineering teams … enable adoption, provide training, documentation and hands-on support throughout partner development journeys. Based in Cambridge with hybrid working, you will collaborate across hardware, ML and applications teams, mentor engineers, and #J-18808-Ljbffr ...

will collaborate with the Vertical Solutions Product Manager and key customers to define the roadmap and build workflows that integrate design, simulation, and machine learning- helping to shorten product development cycles and amplify impact. As the primary developer, you will work closely with CAD and CAE specialists … exposure (e.g., automotive, aerospace, energy) and familiarity with product design processes is a strong plus. Familiarity with CAD and/or CAE Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) Experience with agentic AI orchestration What You Get Work with a world-class technology team - our engineers ...

Cambridge. You will collaborate with the Vertical Solutions Product Manager and customers to define the roadmap and build workflows that integrate design, simulation, and machine learning to shorten product development cycles. You will work closely with CAD/CAE specialists to implement, maintain, and evolve these solutions ...

similar projects. Familiarity with video annotation and timeline-based labeling tools. Experience with frame-level or timecode-based annotation. Background in AI training, machine learning data preparation, or robotics is strongly preferred. #J-18808-Ljbffr ...

team of engineers work on the cutting-edge of drone detection, identification and tracking. They combine sophisticated optical systems and state-of-the-art machine learning software with readily available and low-cost additive manufacturing and single-board computer technologies to create life-protecting solutions. As a senior ...

team of engineers work on the cutting-edge of drone detection, identification and tracking. They combine sophisticated optical systems and state-of-the-art machine learning software with readily available and low-cost additive manufacturing and single-board computer technologies to create life-protecting solutions. As a senior ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

accelerating the real-world impact of science and technology through its Enterprise AI Solutions team. You will help define governance for AI/ML platforms, assess data and regulatory risks, and partner with diverse teams to enable scalable, trusted AI across operating companies. The role emphasizes responsible AI, security, privacy ...

Barrington James in Cambridge is seeking a Scientist to apply machine learning and computational biology to antibody discovery, engineering and optimisation. You will develop models using internal and external datasets and collaborate with experimental scientists to turn results into testable design recommendations for therapeutic antibodies and proteins. This ...

Arm is seeking System Test Engineers to advance neural network hardware verification and validation. You will contribute to verification strategy and own complex work packages across global design centers, delivering high-quality IP through advanced ...

Limited invites you to join a high-impact Applications Engineering role focused on enabling partners with Computer Vision and Machine Learning software on Arm technology for Edge and Physical AI applications. You will work directly with customers and cross-functional teams to ensure successful adoption and deployment ...

generations of strawberry picking robots on farms in Europe and Australia. Our team combines considerable expertise in manufacturing, mechanical, electronics and software engineering, and machine learning computer vision. Overview of Role Working within a small team, you will lead the other technicians to deliver a plan ...

University of Cambridge invites applications for a Moss carder bee recovery post-doctoral researcher to lead a 12-month project bridging machine learning for species identification and real-world conservation. You will work with the Bumblebee Conservation Trust, coordinate field surveys, and contribute to policy-relevant biodiversity outcomes. ...

deployment on Arm CPUs, GPUs, and NPUs. In this senior IC role, you will set the vision, roadmap and success metrics, partner with ML frameworks, runtimes and silicon partners, and drive adoption while balancing trade-offs in performance, power and accuracy. #J-18808-Ljbffr ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science, or a related technical field. 2+ years of experience in software engineering, AI/ML engineering, backend development, or adjacent domains, with strong software engineering fundamentals and the ability to build production-grade systems. Strong proficiency in Python, plus experience … LangChain, AutoGen, or Semantic Kernel. Experience with video, audio, TV, or edge-device environments, especially where latency, cost, and hardware constraints matter. Familiarity with ML/DL frameworks such as PyTorch or TensorFlow. Research experience, paper implementation experience, or a habit of applying emerging GenAI techniques pragmatically to real problems. ...

lead optimization), preclinical development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis … plotting tools like holoviews and Plotly) Collaborate with Scientific Business Analysts (SBAs), customer scientists and applied AI engineers to develop and deploy models (ML, AI, mechanistic, statistical, hybrid) Programmatically interrogating proprietary instrument output files. Dynamically iterate with scientific end users and technical stakeholders to rapidly drive solution development and adoption ...

measurable business outcomes. It will primarily support the core AI roadmap and key transformation initiatives across Arm. Responsibilities: Bring deep expertise across AI, ML, GenAI, LLMs, RAG, agentic systems, and applied AI engineering to help shape practical, reusable AI capabilities at Arm. Define and embed AI engineering standards for evaluation … develop agentic and AI solutions that improve the engineering experience and developer productivity. Required Skills and Experience: Deep hands on expertise across AI, ML, GenAI, LLMs, RAG, reinforcement learning, agentic and multi-agent systems, and applied AI engineering. Strong software and backend engineering capability, with experience architecting, building, testing ...

full runtime stack – interpreter, JIT and AOT compilers, garbage collector and runtime libraries – and you will follow every optimisation down to the generated machine code and the hardware counters that explain it. This is a hands‐on role for someone who finds the bottleneck, writes the patch and proves … embedded SoCs. Contributions to an open‐source runtime, compiler or GC, or a track record of upstream performance patches. Experience with LLM agents or ML‐assisted tooling for code optimisation, or an end‐to‐end self‐built system of that kind. Familiarity with cycle‐accurate or architectural simulators such ...

signal data for defence and security applications Interested in national security and the defence sector? This applied AI start-up has proprietary technology around ML modelling for RF signal characterisation and modification. Their solutions have significance for military applications and infrastructure security around drone detection. They are looking to recruit … C++ or Rust; or RF circuit fundamentals would be beneficial. Your application would significantly stand-out if you have publications or patents in RF-ML, especially relating to drone/autonomous technologies. Due to the nature of projects, the role would be fully onsite at offices based close ...

drug discovery platform. Working within the Data Infrastructure team, you will lead complex initiatives spanning AWS platform engineering, scientific data systems and AI/ML workloads. You will collaborate closely with cloud engineers, data engineers, bioinformaticians, AI scientists, computational biologists, and experimental scientists to turn evolving scientific needs into secure … work in the UK. Responsibilities: Lead the architecture and evolution of our AWS-based infrastructure across cloud services, scientific data platforms and AI/ML workloads, balancing delivery speed, reliability, security and cost. Design and implement reusable infrastructure-as-code, CI/CD and environment-management patterns that make production ...