51 to 75 of 226 Machine Learning Jobs in Cambridgeshire

Technology Ltd is seeking an experienced embedded firmware/systems engineer with expertise in machine learning … machine vision. The role involves working directly with customers to translate requirements into deliverable embedded solutions, using Python, C and C++ with ML frameworks, and developing production-ready code. You will define software architecture, system requirements and use cases, collaborating with the wider team and reporting to the Head ...

want to shape the frameworks that ensure the world’s ML workloads run successfully on Arm technology? We’re looking for an experienced and analytical engineer to design and develop software that powers ML validation across our next-generation platforms. About the Team We are a team of engineers passionate … improving Machine Learning performance across Arm’s diverse ecosystem. Our mission is to develop scalable, efficient, and trusted workflows that enable ML software to release on time and to quality, across CPUs, GPUs, NPUs, and emerging compute architectures. We create the frameworks, automation and other tooling that power ...

Qureight Ltd seeks a Senior Machine Learning Scientist to research, develop and specialise state-of-the-art deep learning models for volumetric CT data, focusing on foundation-model pre-training, supervised model specialisation, segmentation, classification … biomarker extraction pipelines that support clinical-trial and real-world evidence programmes. You will work within the Machine Learning function alongside ML Engineers, Data Scientists and Imaging Specialists to translate research ideas #J-18808-Ljbffr ...

deployment of next-generation computational tools and platforms to enhance biologics discovery and design.AI-Driven Design and Optimisation: Drive innovative structural, generative and machine learning methods to design and optimise proteins, VHHs and antibodies for potency, specificity and developability.External Collaborations: Participate in and shape strategic collaborations with external … application of data analysis methodsExperience with structural modelling platforms (e.g. Schrodinger, Rosetta etc)Familiarity with antibody discovery & optimisation, protein structuresSkilled in applying generative AI, Machine learning or deep learning to design and optimise proteins, VHH and antibodiesStrong, professional communication skills and excellent attention to detail, capable ...

deployment of next-generation computational tools and platforms to enhance biologics discovery and design. AI-Driven Design and Optimisation: Drive innovative structural, generative and machine learning methods to design and optimise proteins, VHHs and antibodies for potency, specificity and developability. External Collaborations: Participate in and shape strategic collaborations … data analysis methods * Experience with structural modelling platforms (e.g. Schrodinger, Rosetta etc) * Familiarity with antibody discovery & optimisation, protein structures * Skilled in applying generative AI, Machine learning or deep learning to design and optimise proteins, VHH and antibodies * Strong, professional communication skills and excellent attention to detail, capable ...

LILA We are growing our Applied AI org and seeking Machine Learning Engineers with expertise in model training, evaluation, and production-oriented ML systems. You’ll work on improving Lila’s AI models for customer-specific scientific needs, with a focus on turning frontier model capabilities into reliable … Need to Succeed Experience building, training, adapting, or evaluating machine learning models. Strong software engineering skills in Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow. Experience designing experiments, evaluation metrics, or test sets for model performance. Ability to debug model behavior using data, traces, logs ...

reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited. Required: PhD in Computer Science, Machine Learning, or a related field, with 2+ years of relevant industry or post-PhD research experience or Master in related field, with 5+ years … these topics. Knowledge of human-inspired image/video quality metrics. Strong programming skills in Python. An in-depth understanding of the deep learning approaches and working experience with machine learning framework/packages (e.g, PyTorch). Desired: Background knowledge of video compression techniques and standards such ...

including applications, APIs, services, and user interfaces using Establish data foundations through reusable data models, metadata standards, and FAIR data productsin Snowflakethat support analytics, machine learning, and AI. Apply AIandagentic development practices to rapidly prototype tools and visualisation capabilities that enhance leadselectionand decision-making in drug discovery campaigns. … integrations. Knowledge of cloud-based data platforms and modern data engineering approaches. Experience developing APIs, workflow orchestration systems, or scientific web applications. Experience applying machine learning, generative AI, or advanced analytics in scientific environments. Familiarity with FAIR data principles and research data governance. Experience working within agile product ...

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 ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environment Demonstrated project work using AI/ML and LLM technologies Proficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologies Experience working in an embedded environment Experience ...

leading software company in Cambridge is seeking a Machine Learning Research Engineer to research cutting-edge machine learning concepts. This role requires a Ph.D. in a related field and a strong background in NLP and classic machine learning. Responsibilities include investigating algorithms, prototyping research concepts ...

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 ...

excellent benefits Requirements for Senior Security Researcher - AI & Cybersecurity: Strong academic background, ideally including a Master's or PhD in Cybersecurity, Computer Science, AI, Machine Learning or a closely related subject Strong knowledge of cybersecurity and attacker techniques Good understanding of networking and network security Knowledge of generative … Security/Endpoint Security/Security Tools/Threat Intelligence/Prompt Injection/Adversarial AI/CCNA/Linux Essentials/SOC/Machine Learning/Artificial Intelligence/Computer Science/Cybersecurity RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even ...

design and development of algorithms and probabilistic models for analysis of array and NGS data supporting genotyping and genetics applications.Apply statistical, computational, and machine‐learning methods to large‐scale genetic and epigenetic datasets (e.g., genotyping, sequencing, copy number, methylation).Design and develop production‐grade software that automates analytical … passionate about translating complex genomic data into impactful solutions that advance translational research and precision medicine.You will have experience with array and NGS technologies, machine learning approaches, and scalable software development practices including testing automation, CI/CD, and software lifecycle management. For staff-level candidates, experience providing ...

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 ...

other engineers to develop sensing and imaging terahertz solutions. As a Backend Software Engineer you'll work on complex problems including image processing, machine learning, numerical simulation, user interfaces, databases, networking and interfacing with hardware. You'll be using a Python based tech stack but with constantly evolving … have experience with embedded software and/or IoT You are comfortable in an R&D environment You have an interest and understanding of Machine Learning and AI You are degree educated in a relevant STEM discipline You're collaborative, comfortable with Pair Programming and mentoring more junior ...

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 discussing model formats, quantization, graph partitioning ...

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 ...

novel analogs. Apply cutting-edge molecular modelling approaches including docking, molecular dynamics, QM, free energy calculations, and property optimizations. Apply AI generative models and machine learning methodologies to design and optimize new molecules. Communicate findings in team and project meetings PhD (or equivalent experience) in Computational Chemistry, Medicinal … multidisciplinary environment. Programming or scripting skills (e.g. Python, R, or Bash) for workflow automation or data analysis. Experience with simulation-based methods and machine learning approaches. Familiarity with fragment-based drug discovery (FBDD). Experience of working in drug discovery teams Why Astex We offer excellent training ...

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 ...

intrapreneur within a larger organization. You can point to products you conceived, shipped, and scaled. Deep, hands-on experience building AI/ML-powered products. You understand model development lifecycles, training data strategies, prompt engineering, evaluation frameworks, and the unique UX challenges of AI-driven features. AI fluency … workflow---for research, analysis, writing, prototyping, and decision-making---and can articulate how AI is transforming product development practices. You can evaluate AI/ML model outputs, reason about precision/recall trade-offs, and make informed product decisions around model thresholds, confidence scoring, and human-in-the-loop design ...