101 to 125 of 398 Permanent Machine Learning Jobs with Remote Work Options

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety more »

Specialist will have hands-on knowledge of FDA regulations, ISO standards & SaMD - as well as proven experience working with medical devices that use AI & Machine Learning. The purpose of this role is to provide expert advice and guidance on FDA approvals and 510(k) submissions. The Company The Regulatory … Affairs Specialist/RA Specialist will join an innovative Machine Learning MedTech start-up based-in Cambridge. The Regulatory Affairs Specialist/RA Specialist will contribute to a supportive team environment, which rewards hard work and innovative thinking. The current work pattern in place is fully remote. Benefits … completing submissions through 510(k) regulatory pathways Strong knowledge of SaMD (Software as a Medical Device), ideally with experience of radiology and AI/Machine Learning Further experience of UKCA and CE marking, as well as working with multi-disciplinary technical teams is advantageous The list above is more »

for a multi award winning tech company within the automotive industry. You want to work for a company that is looking to AI and ML for their future tech and play a part. You want to have the opportunity to create, change or even start again on projects, its all … Of Service), Workplace Pension, Discounts On Private Health Insurance, Retailers, Gyms & Cycle2work Scheme. This could be great for someone with a genuine interest in machine learning and logistics algorithms. The ideal candidate will join the team and quickly contribute to the machine learning-based route planning … want from you. A minimum of one year of experience Python coding expeirence Experience in libraries like NumPy, SciPy, and Pandas Experience with deep learning frameworks such as PyTorch and TensorFlow Experience using GIT, or other codebases. Dat Science or Mathematics degree would be beneficial, but not essential. Bonus more »

Evaluation Master & Reference Data Management - Advisory Report Meta Data Management - Artefacts Data Optimization: Query Optimization (Data Warehouse) - Advisory Report Semantic Layer - Artefacts Analytics Modelling: ML Ops - Strategy Real-Time Workload Integration: Synchronous Web API API Monetisation - Artefacts Data Storage: Operational Datastores - Relational Database - Artefacts Essential Skills and Experience: Proven experience … management. Proficient in query optimization and data warehouse management. Experience with modern data science techniques, including decision trees and machine learning operations (ML Ops). Ability to evaluate and recommend tools for data quality management. Familiarity with real-time data integration using synchronous web APIs and API monetization more »

will vary dependant on experience. Key Responsibilities for this Senior Compute Library Engineer position: Developing high-performance kernels for use on NPU architectures by ML operators. Ensuring maximum efficiency and performance of existing kernels. Integrating kernels into NPU framework in collaborating with hardware and software teams. Conduct testing and debugging … in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture …/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If you are interested in this Senior Compute Library Engineer position, please send a copy of your CV to ts more »

America) Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, Deep Learning ‍ We are a leading recruitment agency with an established AI department that has been running for over 7 years. more »

Systems Security Professional - CISSP). **Domain Knowledge:** Experience in the defense or intelligence sectors. **Advanced Skills:** Experience with advanced technologies such as artificial intelligence, machine learning, or big data analytics. Benefits **Competitive Salary:** Attractive compensation package commensurate with experience and qualifications. **Health Insurance:** Comprehensive health, dental, and vision … plans. **Retirement Plans:** 401(k) plan with company match. **Paid Time Off:** Generous paid time off (PTO) and holidays. **Professional Development:** Opportunities for continuous learning and professional development. **Work-Life Balance:** Flexible working hours and remote work options. **Equal Opportunity Employer:** We are an equal opportunity employer and value more »

for business improvements Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer … Science, Engineering, etc.) At least 1 - 2 years' of experience in quantitative analytics or data modeling Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

applications for performance, scalability, and security. Participate in code reviews, providing constructive feedback to team members. Mentor junior developers, fostering a culture of continuous learning and improvement. Stay up-to-date with the latest industry trends and technologies to ensure our solutions remain competitive. Qualifications: Bachelor's or Master … oriented environment. Preferred Qualifications: Experience with Agile/Scrum methodologies. Familiarity with DevOps practices and CI/CD pipelines. Knowledge of data science and machine learning concepts. Experience with other cloud platforms and technologies. What We Offer: Salary between £100-110k Competitive bonus Competitive pension Enhanced private more »

level and low-level design automentation Fsmiliarity with Agile/DevOps software development methodology Familiarity with CI/CD and pipeline automation Familiarity of machine learning principals/pipelines and associated toolsets such as Pytorch and Tensorflow Familiarity with Azure, AWS, GCP products and services - Knowledge of technologies more »

Golang. Focusing on APIs, databases and asynchronous messaging. Your code will run on both pitch side and cloud servers. You will be exposed to machine learning techniques and algorithms for detecting and classifying complex sporting events in real-time, streaming data, networking and CI/CD. You’ll more »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science … into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure … GCP). Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more, apply below with your up-to-date CV, or reach out more »

development and operations of their automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines that incorporate advanced ML components and thrives in a dynamic, agile environment. Key Responsibilities - Automated Ingestion System Development: Be a key player in the design, development, and maintenance of … sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: Integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and … engineering to continually enhance their systems and processes. Qualifications - Experience: At least 3 years of experience in developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills Strong more »

with disease subtypes at a finer granularity. The Perturbation Catalogue will deliver rich community standards, open-source harmonisation and meta-analysis software, gold standard machine learning ready datasets, and a highly customisable public cloud platform with distributed data warehousing technology for cross metadata queries. You will interact closely more »

measurable difference, recognised by our colleagues and in our company reports. What will you do as a Senior Data Scientist at N Brown? Use Machine Learning to unlock opportunity and solve complex challenges across the organisation. Actively support our transformation in data to our new analytics platform and … data stories to bring your work to life to colleagues across N Brown. Work within an agile squad with a high level of autonomy, learning on your experience to help define, size and prioritise work.. Mentor colleagues and interns to aid them in their development and to raise knowledge … data community. What skills and experience will you have? A track record delivering successful commercial outcomes with Data Science. An excellent understanding of statistics, ML frameworks and algorithms. An excellent understanding of Python and SQL. Experience with cloud platforms (preferably GCP) and a modern tech stack. Excellent written and verbal more »

team. This role involves developing a cutting-edge desktop application and its associated Python backend. The app enables users to deploy, use, and build ML models collaboratively and perform data analytics in a privacy-preserving manner. The application runs on the user’s hardware, posing unique challenges in maintaining flexibility … Role Python : Proficiency in Python and Python unit testing + 5 years MLOps : Experience with machine learning operations, including training and deploying ML models. Automated Testing Frameworks : Knowledge of frameworks that contribute to continuous integration pipelines. Container Technologies : Experience with tools such as Docker. Desktop Application Development : Familiarity … with developing and deploying desktop applications. DevOps Practices : Understanding modern DevOps practices, version control systems (e.g., Git), and CI/CD pipelines. ML Frameworks : Experience with PyTorch, TensorFlow, or NumPy. More about you: An experienced engineer with a track record in modern software engineering and DevOps practices. Passionate about performance more »

testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs and code. Aid verification teams in integration, defect analysis, and resolution. Manage assigned stories and tasks … Skills, Qualifications, and Experience: Proficiency in C++ development with expertise in multi-threaded design. Strong background in signal processing and/or AI/ML techniques. Familiarity with UML design techniques and the entire software development lifecycle. Exposure to machine learning is advantageous. Knowledge of Python and packaging … skills with meticulous attention to detail. Exceptional communication and collaboration skills. Ability to thrive both independently and within a team environment. Proactive approach to learning and continuous improvement. If you're ready to represent an international defence business and contribute to global security efforts, we invite you to apply. more »

generation data experience for scientists, engineers, and decision-makers - increasing productivity, and reducing time spent on "data mechanics" Provide best-in-class AI/ML and data analysis environments to accelerate predictive capabilities and attract top-tier talent Aggressively engineer data at scale to unlock the value of our combined more »

working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great … learning and development plan Microsoft certifications paid for and supported by Mercury Permanent Health Insurance (PHI) Health Cash Plan Critical Illness Cover Electric Car Vehicle Scheme 4% Employer Pension Contribution 25 days holiday per year 1 full extra day “free holiday” on your Birthday Free parking Buy/sell more »

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI … health, wellbeing, lifestyle, and finances. Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. more »

thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to … time, taking project briefs and refining them to strong results. Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution. Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git. Exposure to LLMOps, model monitoring principles, CI … health, wellbeing, lifestyle, and finances. Grow your career with us: whatever your goals, we’ll support you with hands-on training, mentoring, a LinkedIn Learning licence, access to our exclusive Academies, regular career conversations, and expert partner resources from the likes of Women in Data and Women in Tech. more »

the broader scientific community from academia and industry to ensure that EBIs chemical biology resources remain world-leading and, in particular are AI/ML ready. Seek new opportunities to further enhance EBIs chemical biology resources, for example through the use of AI/ML Work with strategic partners (e.g. … You might also have A track record of visible contributions to the scientific community e.g. publications, conference presentations, panel memberships, journal editorship Knowledge of machine learning and AI Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/marriage allowance of £260, monthly child more »

and growing AdTech company as they expand into European markets (they dominate the UK market with a 90% market share) with their AI and Machine Learning driven SaaS platform. As a Senior Full Stack Developer you'll have a range of interesting projects to work on, with roughly … above in Computer Science or similar technical discipline What's in it for you: Salary to £85k Pension Health Insurance 25 days holiday Continual learning and career development opportunities Apply now to find out more about this Senior Full Stack Developer/Engineer (React TypeScript C#) opportunity. At Client more »