51 to 75 of 152 Machine Learning Jobs in London with Remote Work Options

domains by applying your technical, analytical, and research skills. You will understand the underlying biology and engineering problems and follow the latest developments in machine learning and classical modelling algorithms to identify and harness the right technologies to solve the problems, improve the existing solutions and deploy them. … improvement and maintenance for industrialised solutions. Keywords: Computational molecular Physics, Structural Biology, Computational Chemistry, Protein Interactions, Protein Design, Molecular Dynamics, Monte Carlo, Enhanced Sampling, Machine Learning, Deep Learning, Statistics, Data Science Responsibilities Design, implement and deliver complex pieces of research in the area of computational molecular physics …/biology. Implement and test pioneering enhanced sampling methods and free energy calculation techniques that leverage and supplement machine learning approaches. Communicate and collaborate with research engineers in a multi-functional team to integrate simulation-based solutions into drug discovery platforms and ensure they are robust, maintainable and more »

rapidly growing software company of around 20 people based near Oxford & Bicester with an office in White City, London. We are leaders in developing Machine Learning & Digital Twin software for the Aerospace, Defence and Urban Air Mobility sectors. This role is a rare opportunity to join an expanding … D projects where decisions can have a significant impact on project outcomes. You will be responsible for a wide variety of software engineering, including machine learning, digital twins and embedded software in the complete operation of autonomous drones, from logistics, drone setup and testing, mission configuration, launch, asset … of the software team in addition to leading it with your soft skills. This work will include software engineering using C++ on Linux for Machine Learning and Digital Twins, which operate on a range of drone assets, along with HTML5/JavaScript UI work as required. Requirements: You more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »

will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying Machine Learning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a … Patterns You have advanced level C++ skills (they're using C++20) including multithreading You have also have strong Python skills and experience of integrating Machine Learning models (using PyTorch) It would be advantageous to have experience with Edge/IoT computing You're keen to work in s more »

and security. AI Integration in Healthcare: Assist in the development and implementation of AI solutions tailored to healthcare challenges. Collaborate with data scientists and machine learning engineers to deploy models into production environments. Utilize genomics, clinical, and administrative data to derive actionable insights and recommendations. Research and Innovation … ETL processes, data modeling, and database management, as well as SQL. Knowledge of healthcare industry standards, regulations, and data interoperability. Familiarity with AI and machine learning concepts, and a willingness to learn and apply them in a healthcare context. At least 6 Months experience working with Gen AI. more »

You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline. You will identify appropriate machine learning models through research, such as reviewing academic papers and adapting them for our use. Drive the development of the cutting-edge 3D … AI pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machine learning techniques. This entails system design and comprehensive testing. Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance. Take ownership of project … with Computer Vision models, particularly in the context of SLAM. Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction. Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS. SALARY AND BENEFITS Competitive salary range: ££90,000 to £110,000 Equity ownership in the company. Comprehensive benefits package. 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 »

Hello there, Greetings from INFOPLUS TECHNOLOGIES!!! We are actively looking for contract role for a ML Ops Engineer. Job Details: Role Title: ML Ops Engineer Contract duration: 3 months Location: London- HYBRID Industry: banking -------------------------------------- Required Core Skills: -CI/CD pipelines and Agile frameworks -MLops -Python - Min 8 yrs experience … and 5 yrs experience in machine learning Nice to have skills: -data engineering -LLM and Gen AI Minimum years of experience: 5-8 Detailed Job Description: - Polygot Developer , able to code (or learn quickly) multiple languages, such as python, java, javascript, html, golang, etc. -Able to quickly pickup 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 »

architecture and making technical decisions. Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security. Passion for learning and problem solving. At least one of the following: Working on an AI driven product. Used to working closely with data scientists or machine learning engineers, understanding some of the concepts and terminology. Experience contributing to data-dense products with complex, scaling architectural needs. Demonstrated passion for open-source software. Our ideal candidate will champion engineering excellence, open source, and delightful user experiences. We are looking for candidates with significant experience in 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 »

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 »

a fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. About you: Our team is our more »

of structured and unstructured data, including the integration of data through AWS and Azure cloud-based ingestion and curation processes. Knowledge of data mining, machine learning, and natural language processing is considered an advantage. Familiarity with Agile methodologies and participation in Scrum ceremonies. Competence in the design and more »

re interested in this position, apply now! Keywords: Claims, Insurance, Financial Services, Analytics, Business Intelligence, BI, Stats, Qlik, Power BI, SQL, Data, Data Science, Machine Learning, London Markets, Lloyd’s of London, General Insurance more »

APIs, integrating external systems, and other tasks related to server-side development. Qualifications Quantitative finance experience in any asset class. Understanding of AI and ML techniques. Strong knowledge of Back-End Development, Software Development, and OOP principles Understanding of Front-End Development processes Proficiency in a programming language such as more »

Expert ability to troubleshoot issues and make system changes as needed to resolve issue. • Expert knowledge of computer hardware and software. • Experience in deploying ML models. • (optional) Experience in game development and 3D modeling. • (optional) Experience in developing/using physics simulators. Education: • Bachelor's degree in computer science, software more »

in AI-driven music solutions, offering innovative products like the Stem Player and StemFM app. Renowned for elegant design and ethical development, we integrate machine learning to create transformative music experiences. Our technology, which has been viewed nearly 1 billion times on TikTok, focuses on profit sharing and … to mass production Passionate & Impact-Driven: Your passion for Electronic Engineering is matched by your independent, impact-driven approach and strong decision-making ability Learning & Teamwork: You are proactive in learning and seeking help, thriving in collaborative environments that require clarity and cross-discipline teamwork What You Will … part of STEM’s compact, multi-disciplinary Engineering Team, you will tackle a variety of design and engineering challenges, fuelled by a passion for learning new technologies. We are looking for a dynamic and responsible individual to: Design circuits for STEM’s upcoming audio hardware products, taking ownership of more »

At BioAI, we advance healthcare and push the boundaries of medical science through a combination of expertise in biology and machine learning. One key research area is the development of next-generation vaccines and bio-pharmaceuticals for the treatment of cancer and the prevention and therapy of infectious diseases … also be responsible for writing high-quality, maintainable, well-documented python codes. Keywords: Protein Structures, Computational Biology, Protein Design, Statistics, Data Analysis, Infectious Disease, Machine Learning Responsibilities Understand and process the data of different modalities (sequence, structures, experimental measurements) and curate them for data analysis and machine … databases (PDB, Uniprot, etc.) and their API technologies. Demonstrated ability to contribute to novel research efforts; such as publications at leading life science or ML venues. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and more »

attention to detail. Ability to thrive in a collaborative, fast-paced start-up environment. Preferred Qualifications: Experience in data science and/or with machine learning techniques. Interest in AI and its applications within supply chain Academic background in supply chain or similar field. Experience working with APIs. more »

set About you Academic background in Computer Science, Maths or similar STEM discipline, ideally to Masters of PhD level Experience of building mathematical or ML data models, and working with Bayesian inference, Monte Carlo, Random Forest etc. models Experience in data research with strong statistical skills Experience in software design more »

and sustainable solutions for the world’s leading financial organisations. The company is working with numerous aspects of pioneering technologies including cloud engineering, AI, Machine Learning and Blockchain. As the Senior Programme Director you will join the Delivery Management practice, to own and oversee the strategy and execution more »

per annum + Bonus Location: Hybrid (London) Are you ready to join an energetic team of Data Scientists dedicated to creating impactful, commercially viable machine-learning models within the healthcare sector? ABOUT THE ROLE: As a key member of our team: You will collaborate closely to develop and more »

of various price management models. Create visualisations and dashboards to communicate analysis and model outputs. Collaborate across the business to automate data science and machine learning applications. Actively participate in our data community to build new capabilities. Job requirements: Experience in pricing optimisation and demand forecasting. Analytical skills more »

strategies across the customer lifecycle to enhance profitability and decisioning Collaborating with the data science team to drive model performance and implementation of innovative machine learning models Working with the Product team to launch new offerings and monitor the wider market YOUR SKILLS AND EXPERIENCE Strong academic background more »