26 to 50 of 142 Machine Learning Jobs in Cambridgeshire

Lead the strategy, development and deployment of AI for technology, including platforms, agents, software development and automation; build reusable services for generative AI, agents, machine learning and advanced analytics; convert AI architecture and standards into safe, consumable platform capabilities; partner broadly to accelerate responsible AI adoption; ensure appropriate … service ownership and accountability; ensure platforms are resilient, secure, scalable, supported and cost-effective; define and monitor reliability, experience and operational measures; drive incident learning, problem management and continuous improvement; manage lifecycle decisions including investment, modernisation, consolidation and retirement. Adoption, value and commercial management Drive measurable enterprise adoption ...

training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine‐tune and optimise open weight models (LLMs, vision or traditional ML) Build evaluation frameworks and define performance metrics Develop and maintain data pipelines and training workflows Analyse training pipelines and optimise for latency, cost and scalability Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade‐offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug ...

training pipelines Source and, where appropriate, preprocess datasets for training and evaluation Fine-tune and optimise open weight models (LLMs, vision or traditional ML) Build evaluation frameworks and define performance metrics Develop and maintain data pipelines and training workflows Analyse training pipelines and optimise for latency, cost and scalability Implement … solid understanding of model evaluation and validation, overfitting and bias/variance trade-offs, and data quality and feature engineering Proficiency in Python and ML frameworks such as PyTorch or TensorFlow Experience building and maintaining ML pipelines in production Familiarity with GPU usage and optimisation The ability to debug ...

ingestion from collection systems and APIs, schema design and data storage, transformation/ETL, model training and evaluation, and operational delivery. Develop statistical and machine learning models for entity resolution, anomaly detection, classification, clustering, and pattern-of-life analysis across multi-INT datasets. Build dashboards and lightweight applications … Experience with geospatial analysis tools, such as ArcGIS or ArcPro, and GEOINT collection systems, and with Grafana, Power BI, or Tableau Experience with deep learning frameworks, such as PyTorch or TensorFlow, and modern AI patterns such as retrieval-augmented generation ( RAG ) for analytic workflows Experience supporting CCMDs, service components ...

embedding the OKR framework across the company, driving alignment from leadership through to execution Leading delivery and execution of an ambitious, evolving AI/ML-based product roadmap, coordinating closely across ML, engineering, clinical and commercial teams Designing and managing the programme delivery budget, and managing timelines, dependencies and delivery … cross-functional force multiplier, aligning stakeholders across technical and non-technical teams Bringing discipline to delivery across both fast-moving AI/ML development and regulated, GxP-adjacent processes What you'll bring: An original background as an engineer or scientist, with a career since built in programme or delivery ...

background, proven leadership capability and the ability to deliver innovative AI solutions at scale. About You * 10+ years' experience in Software Engineering, Data Science, Machine Learning Engineering or a related technical discipline. * 5+ years leading high-performing engineering teams. * Experience delivering enterprise software, AI or SaaS solutions into … list for this role. Keywords: Head of AI Engineering, Head of Engineering, Director of Engineering, AI Engineering, Agentic AI, AI Agents, Generative AI, LLMs, Machine Learning, Data Science, Platform Engineering, LangGraph, LangChain, Semantic Kernel, CrewAI, OpenAI Agents, Microsoft Copilot Studio, MCP, MLOps, RAG, SaaS, Cambridge. ...

when needed. - Experience with hardware devices or sensors. Any experience with embedded systems, mobile OS or computer networking would be beneficial. - Experience with deep-learning frameworks (TensorFlow or PyTorch) would be desirable. - Exposure to computational statistics, algorithm development or machine learning optimisation would be a bonus. … develop your skills and knowledge with like-minded engineers. Keywords : Python, PyTorch, TensorFlow, Sensors, Embedded Systems, Hardware Interface, Mobile OS, Algorithms, Statistics, Machine Learning, Defence, Security Clearance, Start Up Another top job from ECM, the high-tech recruitment experts. Even if this job's not quite right ...

engineering strategies, evaluation frameworks, and AI guardrails to ensure reliable and scalable automation. Create and maintain data management and validation pipelines supporting AI and machine learning systems. Design and implement scalable APIs, web services, microservices, and software development kits (SDKs). Apply software engineering best practices including reusable … discipline, or equivalent industry experience. Commercial experience in software development using Python. Hands‐on experience developing production‐quality software solutions. Exposure to Generative AI, Machine Learning, LLMs, or AI-powered applications. Experience working with cloud platforms and modern software engineering practices. Experience developing APIs, web services, or microservice ...

Qubitera Ltd. is seeking a Machine Learning Engineer/AI Research Engineer to join a small core team in Cambridge, working at the intersection of modern machine learning and quantum computing. The role is hands-on across research, design, coding, evaluation, and iteration. You'll design ...

diagnosing and troubleshooting problems that arise. To plan, install, commission and maintain compute and data storage resources supporting the research of the Institute, including Machine Learning. Assume technical and organisational lead responsibility for one or more computing resources. To maintain Scientific Computing services such as DNS, DHCP, Linux workstations … user PCs/Apple Macs to Unix equipment, eg remote desktops and file shares. To advise and assist users in the use of deep learning to analyse large datasets, including training and inference with computer vision or LLMs. To provide other general technical assistance as required, for example ...

semantic models, self-service analytics enablement and reporting rationalisation. Applied AI – Microsoft 365 Copilot, Copilot Studio and agents, Azure AI/OpenAI services, machine learning use‐case discovery, pilot and scale programmes. AI governance and responsible AI – policy, guardrails, risk, and alignment to UK regulatory expectations (UK GDPR … agentic AI. Knowledge of applied AI and its commercial application – Microsoft 365 Copilot, Copilot Studio/agents, Azure AI and OpenAI services, and machine learning use cases. Working knowledge of the UK regulatory and compliance environment as it applies to data and AI – UK GDPR and the Data ...

possible thereafter. This is a fixed-term, five-year post. The appointee will have strong computational skills, with experience in developing, adapting, or evaluating machine-learning systems. We envisage that the appointee's research will focus on one of the three research topics below, but are open … music's proven capacity to enhance such mechanisms as emotion induction, memory stimulation, and physical entrainment Applicants should have a relevant PhD in machine learning, computer science or a related discipline and a record of, or clear potential for, outstanding research. We seek a scholar of disciplinary depth ...

extraordinary developer experience across command-line tools, Python, Jupyter notebooks, IDEs, CI and AI coding agents. Help developers use Arm's tooling within familiar ML frameworks including PyTorch. Prioritize capabilities that increase model compatibility with Arm accelerators, ensuring that developers can benefit during pre-or-post Silicon. Turn UX research … product and market data into roadmap decisions. Incorporate groundbreaking approaches to agentic model optimization, including safe and reproducible automation. Develop partnerships with ML frameworks, runtime providers, silicon partners and accelerator vendors. Required Skills and Experience : Are you motivated by translating technical challenges into clear product decisions? If you are comfortable ...

understanding industry trends like generative AI and developing our future computing devices that will power artificial intelligence. This touches all aspects of computing including machine learning, but also security, energy efficient performance, and software ecosystems. Responsibilities: As a member of a versatile team, you will work closely with … communicate clearly with both expert and non-expert audiences. “Nice To Have” Skills and Experience : Arm architecture fundamentals. Vector processing and parallel programming. Machine learning, agentic AI. Robotics & Simulation Frameworks. Architecture performance analysis and optimisation In Return: In addition to a competitive salary and comprehensive rewards package ...

next-generation GPUs. Core responsibilities include coding and debugging a performance and functional model of the GPU; implementing modern hardware features such as machine learning for AI, ray tracing, mesh shading, and more. Other responsibilities include working with the team to ensure model accuracy, feature validation and correlating … debugging performance issues and correlating multiple models Understanding of data analysis tools such as: Tableau, pandas, Excel, matplotlib, etc. Experience working with cutting edge machine learning and/or graphics applications/games/benchmarks At Apple, base pay is one part of our total compensation package ...

experimental data. Build and maintain data pipelines, databases and analytical frameworks. Generate meaningful features, visualisations and reports from complex datasets. Apply statistical analysis and machine learning techniques to support product development decisions. Present insights to both technical and non-technical stakeholders. Develop scripts, tools and automation solutions … including Python. Experience building data pipelines and working with complex datasets. Strong data visualisation and communication skills. Experience applying statistical methods and/or machine learning techniques. Knowledge of version control systems, such as Git. A proactive approach to problem-solving and continuous improvement. This role is well ...

systems connect advertisers to that audience at scale. What is the role? You’ll join Praveen Krishnaiah’s Native Ads Modelling team building the ML systems behind ad relevance, bid and yield optimization, and real-time, low-latency ad serving. This is a senior, hands-on ML engineering role spanning … from idea through to serving at scale, working in Spark, Python, and Java. You’ll work closely with Praveen and the wider Ad Performance ML team. Based in the UK (Manchester-anchored). How will I use AI at Roku? At Roku, we don’t just use AI, we work ...

Limited's Central Technology Machine Learning Group is seeking software engineers to join the ML compiler development team in Cambridge. You will contribute to the design and implementation of an AI/ML compiler, ensuring it integrates with the ML software stack and collaborates with specialists across … company. You will work in a hybrid model, tackling diverse challenges in ML graph compilation, model ingestion, memory allocation, and performance optimisation while enjoying a competitive #J-18808-Ljbffr ...

Rapidly develop and test proof of concept solutions and new features Develop verification and validation plans Work closely with the Mechanical, Software, and Machine Learning/Machine Vision teams Technical documentation (e.g. requirements, design, test, reports, and manufacture) Debug issues at PCB and system level Work with ...

Rapidly develop and test proof of concept solutions and new features Develop verification and validation plans Work closely with the Mechanical, Software, and Machine Learning/Machine Vision teams Technical documentation (e.g. requirements, design, test, reports, and manufacture) Debug issues at PCB and system level Work with ...

/ML & Systems Engineer Location: Cambridge/Hybrid - UK only Salary: £8,000-£9,000 per month Contract: Full-time, initial 3-month fixed-term contract with potential for extension Start Date: ASAP Join an early-stage AI startup founded by a recognised leader in data science. Our client … stage where the fundamental technology and architecture are still being shaped. This isn't a role where you'll inherit an established ML platform. You'll have the opportunity to help build the core technology from the ground up, tackling difficult problems around probabilistic forecasting, scarce datasets, sensor signals ...

looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams … centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML ...

Selection changes the language of the page/content Generative AI Research Engineer, Siri Speech Cambridge, England, United Kingdom Machine Learning and AI Be part of the next revolution in human-computer interaction. Contribute to products that are redefining mobile computing. Create groundbreaking technology for large-scale systems … efficiently, reliably, and accessibly for everyone, everywhere. Adapt quickly to evolving research trends and shifting priorities in a fast-paced environment. Minimum Qualifications Deep Learning Foundations: Strong theoretical background in modern deep learning architectures, sequence modeling, and generative AI frameworks (e.g., Transformers, Flow Matching, Diffusion, VAEs). Mathematical ...

simulators, run experiments and verify results, including the reward design, sandboxing and checks that catch invalid or reward-hacked outcomes. Train surrogate and ML performance models that predict IPC and PPA impact and reduce simulation cost. Characterise emerging workloads on CPUs, such as on-device LLM inference, matrix and vector … designed yourself. Rigorous experimental methodology and the ability to read research papers critically. Desired: PhD (completed or in progress) in computer architecture or ML systems. Publications at ISCA, MICRO, HPCA or ASPLOS, or at MLSys, NeurIPS or ICML. Experience with ML-based prefetchers or branch predictors, including ...

Description: Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML … ingestion, low-level hardware programming, efficient memory allocation and performance optimisation. Responsibilities: You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack. We are looking for an engineer who has a desire ...