26 to 50 of 235 Machine Learning Jobs in the East of England

will include Architectural Blueprinting & Design Recommend the reference architectures for AI related solutions across the enterprise. Design end-to-end pipelines for Generative AI, Machine Learning, and Agentic workflows. Ensure that AI solutions are modular, reusable, and aligned with enterprise security and compliance standards. Recommend the optimal technical … Bachelor’s or Master’s Degree in Computer Science, Data Science, Software Engineering, or a related quantitative field is required. Solid foundational knowledge in Machine Learning and Software Architecture is essential. Experience: 5+ years of significant experience in designing end-to-end technical architectures for Machine Learning ...

driving the development and adoption of fit-for -purpose data and informatics infrastructure and pipelines. · Lead cross-functional workstreams with biologists, clinicians, AI/ML engineers and statisticians to translate findings into testable hypotheses. · Communicate results clearly to diverse stakeholders through written reports and concise oral briefings. · Collaborate with cross … Statistics, Data Analysis, Data Engineering, Data Science, Datasets, Drug Development, Drug Discovery Process, Drug Target Identification, Genetic Analysis, Genomic Analysis, Machine Learning (ML), Software Engineering Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose ...

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 ...

partners, you will lead day-to-day technical development and integration of a working proof of concept combining Wi-Fi radio-frequency (RF) telemetry, machine learning, cybersecurity software and locally deployed AI for human-readable threat explanations. You will translate research into a functional demonstrator, with an emphasis … network telemetry through passive monitoring and commercially available sensing technologies. Building data ingestion, processing and analysis pipelines for wireless telemetry. Designing, training and evaluating machine learning methods to detect anomalous, unmanaged or potentially malicious IoT activity. Combining spatial, behavioural, RF and network features, with local large language models ...

datasets to develop, integrate and embed advanced computational methods and predictive in-silico models to accelerate the discovery of medicines. With a focus on machine learning, cheminformatics and computational chemistry methodologies, you will help drive the development and delivery of key new capabilities for our internal automated small … currently have a major R&D initiative focused on transforming small-molecule drug discovery. Responsibilities Build, validate and deploy cheminformatics and machine learning methods and models to inform go/no-go across drug-discovery programmes. Integrate with drug discovery programme teams (including DMPK, Toxicology and Safety Pharmacology ...

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 ...

site full time and can’t provide sponsorship for this position. Responsibilities: We are looking for a software and simulation engineer with experience in machine learning and artificial intelligence techniques. The role will be working in the design team alongside our device design experts using a range … techniques. This role will span from model building through full simulation automation and optimization. The role will require extensive knowledge of a range of machine learning techniques including multi-parameter optimization and inverse design. Automation of test data analysis and correlation to design variants is also necessary ...

holder will be a research-active software engineer in the Sheriff Group, designing and building reusable software infrastructure that connects mechanistic models, AI/ML models, biological datasets and scalable compute into robust Digital Twin research systems. The role is not conventional IT support. The post holder will work alongside … research scientists to translate new modelling and AI/ML methods into high-quality, tested and reusable research software, including model/data interfaces, AI model training and inference pipelines, workflow execution, simulation and optimisation pipelines, model serving, provenance, APIs and reproducible deployment. The software will support heterogeneous modelling frameworks ...

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 ...

will own the data and model layers of our client projects: designing and building the pipelines that feed AI systems, developing and deploying ML and LLM‐powered solutions, and standing up the RAG pipelines and agentic AI systems. Your role will include planning, tool use, and human‐in‐the‐loop … proof‐of‐concept builds for new client engagements, including AI readiness and data assessments Experience 3‐5 years of professional experience across AI/ML engineering and/or data engineering in a commercial or consultancy setting Strong, demonstrable proficiency in Python for data and ML work Advanced ...

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 ...

there's no telling what you could accomplish. Apple is committed to delivering exceptional features and prioritizing user privacy. The Privacy Preserving Measurement & Machine Learning team works with teams across Apple to develop state-of-the-art privacy-enhancing technologies for measurement and machine learning. … generative AI systems while preserving user privacy. Operate independently to solve complex problems at the intersection of privacy-preserving technology, applied cryptography and machine learning. Successful candidates must possess a strong technical background and a keen interest or experience in developing software on iOS or similar resource constrained systems. ...

Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets … ensure seamless downstream data delivery for all enterprise consumers .### Key ResponsibilitiesResponsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional ...

formal training. What you will do Position CDW Custom AI capabilities - Engage with all Customer AI personas: technical personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). Technical SME on CDW Custom AI – Maintain expert level knowledge … essential Evidence of judgement-based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private ...

adoption of AI across the software development lifecycle to improve productivity, quality and speed. Work with product leaders to embed AI-driven capabilities (machine learning, predictive analytics, computer vision, intelligent automation) into the product portfolio. Establish governance and best practice for responsible AI use. Operational and financial management … common processes, tools and standards across teams. Strong financial, operational and strategic planning skills. Excellent communication and interpersonal skills. Desirable Background in industrial automation, machine vision, manufacturing technology, inspection systems or scientific instruments. Knowledge of AI, machine learning, computer vision and data analytics. Our client is committed ...

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 ...

Explore a research career at Graphcore through a PhD internship, gaining hands-on experience on real projects. You’ll bring fresh ideas, put your learning into practice and help shape what we’re creating. Along the way, you’ll tackle challenging problems with a team who welcome your questions … Your work could contribute to public research shared with the wider AI community. Your team and support Graphcore Research explores the computational requirements of machine intelligence and how hardware can enable the next generation of AI models. The team publishes at leading AI and machine learning conferences ...

testing, documentation, and support processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices … multiple teams. Strong financial, operational, and strategic planning capabilities. Excellent written, verbal, and interpersonal communication skills. Preferred Skills and Qualifications Experience within industrial automation, machine vision, manufacturing technology, inspection systems, scientific instruments, or related technology sectors. Experience leading teams that develop software for hardware-enabled products and complex integrated ...

testing, documentation, and support processes. Partner with product and business leaders to integrate AI-driven capabilities into Nordson XRT products. Explore opportunities to leverage machine learning, predictive analytics, computer vision, and intelligent automation to improve customer productivity, equipment performance, and operational reliability. Establish governance and best practices … multiple teams. Strong financial, operational, and strategic planning capabilities. Excellent written, verbal, and interpersonal communication skills. Preferred Skills and Qualifications Experience within industrial automation, machine vision, manufacturing technology, inspection systems, scientific instruments, or related technology sectors. Experience leading teams that develop software for hardware-enabled products and complex integrated ...

across scientific and business systems. Establish consistent approaches to identifiers, metadata, data quality, lineage and traceability. Create reusable data foundations that support bioinformatics, analytics, machine learning and AI. Evaluate technical options and help establish data-engineering standards and best practices. Work closely with scientists, Bioinformatics … sciences or other R&D data. Azure and/or Google Cloud Platform. ELN or LIMS platforms such as Benchling. Preparing data for analytics, machine learning or AI applications. Semantic modelling, ontologies or knowledge graphs. CI/CD, infrastructure-as-code or other modern software‐engineering practices About ...

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 ...

Members. Proven experience in security research, offensive security or adversarial machine learning (e.g. red-teaming, penetration testing, vulnerability research, or attacks on ML models). A strong understanding of how modern AI systems work, including how large language models are trained, deployed and served. Familiarity with attacks … your own software development process. We also value: Experience with interpretability methods (e.g. probing, sparse autoencoders, circuit analysis), or a strong interest in learning them. Experience working on software systems that operate in highly regulated or high-assurance environments (e.g. financial services). An understanding of the latest ...

team Prototyping quickly across software and data workflows, so that ideas get tested rather than debated Supporting the development of statistical, signal processing, and machine learning methods for healthcare Working directly with data scientists, engineers, and clinicians on practical problems Explaining what you have found to people … your reasoning clearly to people outside your discipline Signal processing or time-series analysis Cloud platforms: GCP, AWS, or Firebase SQL or NoSQL databases Machine learning model development or evaluation Node.js or C++ Any exposure to healthcare, medical technology, or regulated software environments Alongside all of that: intellectual ...

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 ...