126 to 150 of 150 Machine Learning Jobs in Cambridge

where needed. Understand multi-stage asynchronous processing pipelines and take ownership of individual stages, including uploading, validating, processing and storing data. Integrate LLM or ML model APIs into production features, writing and reviewing prompts with appropriate safeguards against prompt injection and invalid outputs. Project Contribution & Collaboration: Take ownership of assigned … migrations using tools such as dbmate. Support event-driven processing, containerised Lambda functions, presigned URL uploads and asynchronous validation where these patterns are used. Learning & Continuous Improvement: Develop your technical skills through feedback, practical delivery and knowledge sharing, taking an active interest in developments across software engineering and AI. ...

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. ...

Job Overview: We are looking for a dedicated Staff Full Stack Software Engineer to join our team in Cambridge. This role has significant impact in improving the engineering experience at Arm! Engineering IT supplies the ...

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 ...

doingBuild scalable UI features optimized for millions of usersLead technical investigations and architect solutions across middleware, UI frameworks, and rendering pipelinesIntegrate AI/ML capabilities and leverage generative AI tools to accelerate development and improve developer productivityCollaborate with cross‐functional teams to deliver global platform features with measurable performance … clear, effective technical communicationKnowledge of AI applications and hands‐on experience with generative AI tools and workflowsA proactive mindset with passion for continuous learning, fast iteration, and data‐driven optimization#LI-NM1What's Roku's approach to hybrid working? Roku fosters an inclusive and collaborative environment where teams generally work ...

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 ...

Limited is seeking software engineers to join the ML compiler development team in Cambridge. You will contribute to AI/ML compiler design, model ingestion, and optimisation as part of Arm's ML software stack. The role requires strong C++/Python skills, experience with the full software lifecycle … knowledge of ML compilation technologies (MLIR/TVM). A collaborative, proactive approach and excellent English communication are essential. #J-18808-Ljbffr ...

Background in distributed HPC, cloud environments, data engineering & analytics. Knowledge of EDA workflows and semiconductor engineering environments. Proficiency in Python and data analysis/ML frameworks. Ability to turn sophisticated data into clear, actionable strategy. “Nice To Have” Skills and Experience : Experience with IBM Spectrum LSF or other job schedulers. … Familiarity with NetApp or high-performance storage systems. Experience applying AI/ML to workload optimization or resource management. Experience building production-grade data pipelines. Exposure to FPGA and Emulation infrastructure. In Return: Join a collaborative, fast paced team solving significant platform challenges. There will be room to grow technically ...

Responsibilities Design, implement, test, and maintain backend services and prototypes in Python. Work from prototype/research outputs to production-ready components alongside ML/AI researchers and SREs. Participate in live coding/problem-solving rounds during development and code reviews. Collaborate closely with product managers and researchers … problem-solving. Typically 3+ years' relevant experience (flexible; equivalent experience or strong demonstrable ability considered). Experience with Kubernetes or container orchestration. Exposure to ML/AI projects, data pipelines, or research-driven engineering. Experience with observability tooling, CI/CD, and testing best practices. Degree in Computer Science, Engineering ...

Roku is seeking a Senior Software Engineer with strong ML infrastructure experience to own production systems across ranking, model delivery, evaluation and LLM-agent behaviour. You will improve training, evaluation, deployment and observation paths while managing latency, quality, and cost as the product scales. You will work across ML, product ...

this role means reducing developer friction, moving comfortably across stacks and thinking beyond the code to the full user journey. Practical experience of ML model optimisation techniques, deployment and efficient execution on constrained devices would make you a particularly strong addition to the team. Responsibilities: Design, build and maintain developer … optimisation and performance analysis, including quantisation, graph optimisation, operator fusion, precision reduction, profiling and debugging across latency, memory, model size and accuracy. Experience across ML frameworks, model formats and deployment tooling, such as PyTorch, ONNX/ONNX Runtime, ExecuTorch, TensorFlow/LiteRT and OpenVINO, including model inspection, visualisation and benchmarking ...

Build scalable UI features optimized for millions of users Contribute to technical investigations and solutions for middleware and UI challenges Explore integrating AI/ML capabilities and leverage generative AI tools to accelerate development Collaborate with cross-functional teams on global platform features Develop engineering tools and learn from experienced … solving and technical communication abilities Interest in AI applications and a willingness to learn about generative AI tools Proactive mindset with passion for continuous learning and fast iteration #J-18808-Ljbffr ...

datasets, and fine-tune open weight models with a strong focus on performance and scalability. The role requires hands-on experience with Python and ML frameworks (PyTorch/TensorFlow), production ML pipelines, and GPU optimisation, with emphasis on rigorous evaluation and error analysis. #J-18808-Ljbffr ...

Roku in the UK is seeking a senior, hands-on ML engineer to design, train, and ship ML models for ad relevance and bid/yield optimization, and to build production ML infrastructure for real-time, low-latency serving. You'll work across Spark, Python, and Java, taking models from … research through deployment, collaborating with Praveen Krishnaiah’s Native Ads Modelling team and the wider Ad Performance ML group. Based in the UK (Manchester-anchored). #J-18808-Ljbffr ...

saved, safety and cost can shape what the system does next. The work is hard in the best way. Part of it is research: learning from messy, delayed, real-world feedback instead of clean benchmarks. Part of it is engineering: building reliable infrastructure that can sit inside live … multiple workstreams without losing the thread Experience supporting founders, executives, investors, sales teams, or technical teams Technical literacy, coding experience, or an AI/ML background is a plus but not required What to expect: £40k-£60k (+equity if applicable) based on location and experience #J-18808-Ljbffr ...

Speechmatics is seeking an ML Data & Platform Engineer to own the data pipelines and the platform that trains, evaluates, and serves models in production. You will work across the full stack—from data infrastructure to production ML—owning problems end-to-end to accelerate model delivery. You’ll collaborate with … ML team to improve data quality, observability, and MLOps practices, while scaling infrastructure for faster iteration and reliability. #J-18808-Ljbffr ...

seeking a strong C++ software engineer in Cambridge to help build high-performance ML inference engines and backend integration frameworks. You will contribute across frameworks, runtimes, compilers and hardware abstractions to deliver optimized AI execution on Arm platforms. You will analyse complex performance issues, work on graph processing and memory ...

scalable data solutions. You will design observational experiments, work with large data sets, and advance feature evaluation and product roadmaps using advanced statistical and ML methods. Strong communication and collaboration are essential. #J-18808-Ljbffr ...

will work across hardware, firmware, and application teams to deliver high-performance UI features for millions of users. You’ll explore AI/ML capabilities, collaborate with cross-functional teams, and stay current with AI trends while learning and growing in a fast-paced streaming technology ecosystem. #J ...

engagements. Track agreed actions and ensure progress is visible and clearly communicated across partners. Coordinate Across Teams Work with multiple Arm teams (AI/ML, CPU, GPU, system software, tools) to coordinate inputs required for partner engagements. Translate partner requirements into clear internal follow‐ups, enabling efficient and consistent responses. … everyday execution independently while seeking guidance when needed. Nice to Have Experience working in partner‐driven or multi‐organization environments. Familiarity with AI/ML systems, security, or heterogeneous computing platforms. Experience applying program or project coordination practices in technical settings. In Return At Arm, you’ll work on industry ...

active engagements. Track agreed actions and ensure progress is visible and clearly communicated across partners. Coordinate Across TeamsWork with multiple Arm teams (AI/ML, CPU, GPU, system software, tools) to coordinate inputs required for partner engagements. Translate partner requirements into clear internal follow-ups, enabling efficient and consistent responses. … manage everyday execution independently while seeking guidance when needed. Nice to HaveExperience working in partner-driven or multi-organization environments. Familiarity with AI/ML systems, security, or heterogeneous computing platforms. Experience applying program or project coordination practices in technical settings. In ReturnAt Arm, you'll work on industry-defining ...

Wellcome Sanger Institute seeks a Principal Staff Scientist (computational) to lead AI/ML across the Human Genetics Programme. You will shape analytical strategy and sit on the Programme Working Group, driving models from data to clinical application with strong collaboration across genetics, proteomics, metabolomics and clinical data. You will ...

accelerate discovery! About Turbine Turbine is building Virtual Assays—AI-powered predictive models that can run biological experiments in silico. We're combining deep learning with a systematic approach to biology to enable faster, cheaper, more extensive testing. Our team is small, focused, and composed of researchers and engineers … regulated industries Exposure to or understanding of biological assays, phenotyping, or drug discovery Track record of publishing or speaking at major AI/ML conferences #J-18808-Ljbffr ...