14 Machine Learning Jobs in Hertfordshire

exploiting patient-derived explants/derivatives (PDE), is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. Key Responsibilities more »

by exploiting patient-derived explants/derivatives, is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. Key Responsibilities more »

office) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »

BLE, DECT NR+, Zigbee, Sub 1GHz, NFC) Microcontrollers using a range of peripherals (RTC, SPI, I2C, UART, Crypto Engines, DMA, ADCs, USB, AI/ML accelerators) Microprocessor systems using a range of peripherals ‘hardsec’/novel hardware-based cybersecurity Required Experience A proven track record of developing elegant hardware architecture more »

and provide support for our Azure platform for Machine Learning, ensuring its continuous availability. Develop engineering solutions for model training, such as ML Pipelines and parallelization. Assist in project and model lifecycle management and packaging using MLFlow. Support the transition of products to higher environments through productionizing and … deployment (e.g., promoting ML Pipelines to Production), leveraging MLOps practices and technologies. Experience & Skills Required Skilled in EDW and big data storage, data provisioning, processing, and pipeline orchestration. Comprehensive understanding of data modeling, possessing expertise and experience in data architecture. Proficient coding abilities in Python, SQL, following best software development … such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores, automated CI/CD, and ML pipelines. Solid experience in source and version controls (Git), as well as linking versions more »

explant model systems. By exploiting patient-derived organoids and explants/derivatives, the Oncology Translational Research team will apply a multimodality analytic approach, plus machine learning models which are coupled with paired patient-derived data feedback, to improve cancer patient risk stratification as well as to predict future … of various multimodal assays . Build relationships with internal Oncology Translational Research teams and with cross-functional partners in disciplines (such as AI/ML, Precision Medicine, Oncology Project Leaders, Oncology Research Units and Oncology Clinical Development, functional genomics ( FxG ), proteomics, clinical imaging, etc ) to work together towards improving patient … using data fusion strategies . Experienced with 3D microscopy and associated processing methods ( e.g. lightsheet ) Experience analyzing data from clinical trials . Experienced with machine learning methods relevant to multivariate and multimodal small and large datasets . Significant experience in managing and training lab team members in academic more »

other Research Technologies groups (including Human Genetics & Genomics, Large Molecule Discovery, Molecular Modalities Discovery, Pre-Clinical Sciences, and Data and Predictive Sciences), AI/ML, Research Statistics, and the Therapeutic Areas to design, execute, and analyze imaging endpoints in target discovery and validation screens. Additionally, the successful candidate will contribute … delivery of project and department objectives to the highest scientific standard. Maximize information content derived from imaging readouts through internal collaboration with AI/ML and Research Statistics teams. Clearly record in electronic lab notebooks and communicate study results at internal and external meetings. Contribute to the development of high … apply: Fluent in 1 or more programming language; ability to write and run custom analysis scripts and debug code written by others. Experience with machine learning a plus. Experience running high throughput, high content screens (i.e. understanding of screening best practices, experience using automated liquid handling platforms). more »

team that, by exploiting patient-derived organoids, is developing and implementing cutting-edge cellular, genomic and molecular techniques with a multimodality analytic approach, plus machine learning models to improve cancer patient risk stratification as well as to predict future targeted and/or immuno-therapy susceptibilities. Key responsibilities more »

a complex Seeker model. Undertaking and documenting system studies and performance analysis. Encouraging innovation for example improved agile methods, process improvements, and use of machine learning/AI in the products. To be considered for this role, applicants will need to be qualified to degree level in a … report writing. Modelling and coding (significant experience of MATLAB and ideally Simulink). Experience in forming hypotheses and creating the method to prove them. Machine Learning and AI. They are extremely keen to find someone with a passion for the defence industry and technology and they can offer … facilities) Hybrid working (project dependent) Key Skills: Algorithms Engineer, Algorithm Development, Integration, System Studies, Performance Analysis, Data Analysis, RF Systems, Modelling, Coding, MATLAB, Simulink, Machine Learning, AI. Due to the nature of work undertaken at our client's site, incumbents of these positions are required to meet special more »

areas: Collecting and analysing data to identify trends that help inform leaderships decision making. Cleansing and modelling outcomes to test viability of AI and Machine Learning models to improve reporting and planning. Role Data Analyst responsibilities include working closely with the Global Head of Operations to prepare comprehensive … will gain a Data Analyst Level 4 apprenticeship. Delivered via In-person Residential workshops which are block release, self study and support via your Learning Mentors. After the apprenticeship there is potential for a full time permanent contract. Apprenticeship Standard Data analyst (level 4) Training Provider FIREBRAND TRAINING LIMITED more »

salary with area leading benefits and bonus scheme. Requirements of C++ Senior Software Engineer BSc grade 2.i or above in Computer Science, Artificial Intelligence, Machine Learning, Electronics or similar subject Experience with Modern C++ and the STL and/or Rust Able to obtain Security clearance. Familiarity with more »

developing technology that makes a difference and has real-world impact. You’ll use your Machine learning to develop systems that apply ML to a broad range of tasks. The projects will test your broad exposure to the ML development cycle: data I/O, cleaning and preparation … code into brand new products. This role would suit a Machine Learning innovator, someone looking to push forward what is possible with ML and see their concepts develop into real world solutions and tangible cutting-edge products. In return you can expect a very competitive salary, excellent benefits … Intelligence, etc Recent and relevant experience working as an Machine Learning Engineer/AI Engineer Strong foundation in Python Excellent knowledge of ML libraries and frameworks like TensorFlow, PyTorch, Keras and scikit-learn. Experience with neural network architectures, deep learning techniques, and building and training deep learning more »

salary with area leading benefits and bonus scheme. Requirements of C++ Senior Software Engineer BSc grade 2.i or above in Computer Science, Artificial Intelligence, Machine Learning, Electronics or similar subject Experience with Modern C++ and the STL and/or Rust Able to obtain Security clearance. Familiarity with more »

using Python, C, C++, Java, or any programming language Excellent at solving complex problems Solid coding and debugging experience Any knowledge or background in machine-learning would be a bonus, due to upcoming projects Responsibilities for Graduate Software Engineer/Developer – Python/C/C++/Java more »