26 to 50 of 223 Machine Learning Jobs in the East of England

brighter experiences for our guests and our teams. As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data … insights—bringing curiosity, collaboration and clarity to everything you do.**What you’ll be doing:**- **Owning the end-to-end development and deployment of machine learning models and analytical solutions**, from data exploration through to production.- **Making day-to-day technical decisions** on feature engineering, model selection, analytical ...

Responsibilities Define and drive the AI methodology roadmap for assigned Clinical AI programmes, spanning early and late phase clinical development, and aligning AI/ML priorities with clinical and business objectives. Lead, by matrix influence and scientific authority, the delivery of the most complex and high-stakes AI projects — from … programme level. Shape the AI evidence component for regulatory submission packages; act as the scientific and methodological voice in regulatory engagements involving AI/ML methods or innovative trial designs (FDA, EMA, MHRA). Evaluate and champion cutting-edge AI methodologies — including foundation models, agentic AI systems, generative patient models ...

scientific manner Data science skills, including handling of large data sets, modelling and evaluation Good understanding of software engineering concepts, particularly with machine learning development Experience with machine learning Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published … such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs, NER, GANs, Reinforcement Learning, etc.) Master’s degree or Postgraduate (preferred) qualification from a Top 200 Global University, preferably ...

layout optimizations tailored to spatial processors.* Publish and present technical work on novel compilation approaches for inference and related spatial accelerators at top tier ML, compiler, and computer architecture venues. **What we need to see:*** MS or PhD in Computer Science, Electrical/Computer Engineering, or related field, or equivalent … from the crowd:*** Prior work on spatial or dataflow architectures, including static scheduling, pipeline parallelism, or tensor parallelism at scale.* Contributions to opensource ML frameworks, compilers, or runtime systems, particularly in areas related to performance or scalability.* Demonstrated research impact, such as publications or presentations at conferences like PLDI ...

-learning, product, data and platform partners. This is a hands-on engineering role for someone who can move comfortably between software architecture, ML lifecycle decisions and production operations. You will improve the paths the team uses to train, evaluate, deploy and observe models, while helping us manage latency … including tool routing, retrieval, guardrails and answer caching. Design caching as an intentional latency and cost lever for high-volume services. Build observability for ML and LLM systems, including latency attribution, quality metrics, tracing and per-request cost. Improve the reliability and operability of distributed systems, and lead the diagnosis ...

Inventing innovative machine learning systems to solve real-world problems in the defence sector Cambridge; to c£70,000 DoE + Benefits This innovative team of engineers and scientists are using machine learning tightly integrated with modern electronics to create new classes of devices ...

looking for a software engineer with a strong analytical approach to join the team and help ensure the best performance with most recent Arm ML software, systems and IP. How will I contribute? You will run & analyse ML/AI performance on next-generation Arm IP, and feed-back into … profiling tools, performance counters, system traces or telemetry (differentiating). Experience with working on pre-silicon platforms such as FPGA (differentiating). Knowledge about ML/AI workloads can be a benefit, but can be learned on-the-job. Interpersonal Skills Passion for analysis and improvement. Capable of working both ...

with vacuum chamber sub-systems, and perform self-diagnostics. Design, implement, and maintain robotics software applications for advanced automation systems. Develop software infrastructure for machine and robot data collection, storage, analytics, and monitoring. Create intelligent diagnostics, visualization, and data-driven automation capabilities. Apply machine learning … SDLC), working with revision control tools, using remote debuggers, and following software release processes, ideally in an Agile environment. Experience with robotics software development, machine automation, or industrial control systems. Experience with Python and modern software development frameworks. Familiarity with machine learning, AI, data analytics, or data ...

excellent opportunity for a mid-level Data Scientist who enjoys solving real-world business problems and wants the opportunity to work across machine learning, statistical analysis and data-driven decision-making. Key Responsibilities Develop and deploy machine learning and statistical models to solve business problems. Analyse … technical stakeholders. You'll ideally have: Strong commercial experience as a Data Scientist. Excellent Python skills. Strong SQL experience. Solid understanding of machine learning and statistical modelling. Experience working with predictive modelling techniques. Strong analytical and problem-solving skills. Experience communicating technical findings to non-technical audiences. ...

governance controls to protect internal equity. Are you a software engineer with a working knowledge of Artificial Intelligence (AI) and Machine Learning (ML)? If you are interested in developing software for cutting‐edge defence and aerospace projects such as a sixth‐generation stealth fighter jet or a revolutionary … Directed Energy product, Leonardo would like to hear from you. We are seeking Senior or Principal Software Engineers with an interest in AI/ML to join our Electronics UK business. Successful candidates will contribute to the delivery of leading‐edge solutions for challenging civilian and military projects. Responsibilities Support ...

computer scientists—all united by a passion for solving complex commercial problems with data and algorithms. We leverage cutting-edge techniques in data analysis, machine learning, and optimisation to build systems that automate decision-making and drive competitive advantage. If you thrive in intellectually challenging environments and want … data science, econometrics, quantitative economics, operations research, mathematics, or related field 2+ years of experience in commercial analytics, algorithm development, or applied statistical/machine learning modelling Proficiency in SQL and Python Strong understanding of commercial/pricing problems and business fundamentals Advanced data skills: statistical modelling, machine ...

experiences to drive meaningful customer impact. Description Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.- Design and execute observational and experimental studies of causal inference- Work with large, complex data sets. … highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams. Minimum Qualifications Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent Proficiency in data querying using SQL, Spark, or equivalent technologies Proficiency in scripting languages for data processing ...

technical support to partners on firmware, software, Machine Learning, and Computer Vision related issues on Arm-based systems. Work closely with hardware, ML, and applications engineering peers, as well as cross-functional teams across Engineering, the Business Unit landing team, and Product Management. Investigate and reproduce complex customer … across geographically distributed and cross-functional teams. Excellent communications skills both written and verbal “Nice To Have” Skills and Experience: Experience with AI/ML frameworks such as TensorFlow, PyTorch, ONNX, or inference runtimes. System bring-up and JTAG debugging expertise Good background of system performance analysis Experience with ...

forecasting, online, pricing, security, fulfilment, distribution, property, IoT and computer vision are just some. Our team members are encouraged to allocate working hours for learning and personal development every week and are provided with multiple learning resources and tools. Multiple academic collaborations enrich the team’s expertise;knowledge … Product Manager in managing relationships with business stakeholders, and mentor and supervise junior team members and interns. You will: Design and improve deep learning and related machine learning forecasting models for large‐scale retailtime series. Build robust training and backtesting pipelines (time‐aware CV, leakage controls, stability ...

Senior Research Engineer - AI/Deep Learning/LLM/Python Our client's research team applies AI to the design and optimisation of semiconductors, alongside fundamental research that supports both internal applications and the broader scientific community. Current areas of interest include large language models, optimisation methods … deep learning, reinforcement learning and generative models. This is a permanent role, working 100% onsite in either London or Cambridge What you will be doing Leading engineering efforts on complex research projects in machine learning and AI Optimising algorithms and ensuring the scalability and robustness ...

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 ...

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 ...

ensure best practices in modelling, experimentation and deployment. Data Science & Advanced Analytics – Design and implement predictive and prescriptive models for airline operations, applying machine learning, optimisation and statistical analysis to large, complex data sets. Translation of Business Problems – Convert business challenges into analytical frameworks and actionable solutions … collaboration, driving high‐impact projects and aligning with business objectives. Advanced knowledge of the Data Science Toolbox – mathematics, statistics, programming, data ingestion, munging, visualisation, machine learning, optimisation, simulation, reinforcement learning, and big‐data technologies. Experience leading successful data‐science projects in an operational setting (preferred). Understanding ...

culture. Ensure best practices in modelling, experimentation, and deployment. · Data Science & Advanced Analytics. Design and implement predictive and prescriptive models for airline operations. Apply machine learning, optimization techniques, and statistical analysis to large, complex datasets · Translate business problems into analytical frameworks and actionable solutions to improve decision making … advanced knowledge level of the Data Science Toolbox (i.e. the fundamentals of Mathematics and Statistics, computer programming, Data Ingestion, Data Munging, Data visualisation, Machine Learning, Optimisation, Simulation, Reinforcement Learning and Big Data techniques and technologies) · Have experience of leading and landing successful Data Science projects ...

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 ...

Lead the design and evolution of the cybersecurity analytics architecture, defining data patterns, modelling approaches and data product frameworks that support reporting, advanced analytics, machine learning, GenAI and AI-powered analytics experiences at scale. Data Integration, Transformation and Quality: Establish the strategic approach for data integration, transformation … Cyber Analytics team. You will need Strong passion for data engineering, data modelling, data quality and building trusted, scalable data products that enable analytics, machine learning and AI-driven use cases. Proven experience leading the design and delivery of enterprise-scale data products, defining technical strategy, architectural patterns ...

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 ...