26 to 50 of 139 Machine Learning Jobs in London with Remote Work Options

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. … Experience Requirements: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast more »

opportunity for someone to enhance their I&D Consulting career. What will you be doing Design and implement robust conversational AI models using AWS ML services including Amazon Lex and Amazon Comprehend Develop and refine custom NLP models to enhance understanding generation and translation of human language in a variety … XML IVRs Jenkins other Cloud Platforms Skills that will help you in the role Some experience in applying a wide range of statistical and machine learning techniques e g hypothesis testing regression clustering decision trees machine learning models Experience of data driven storytelling Proven ability to … explain data analysis insights and capabilities to audiences with differing technical backgrounds Concepts of Deep Learning Knowledge of Devops Jenkins Kubernetes SonarQube Veracode CheckMarx Maven Gradle etc Knowledge of tools like JIRA Agile Central Service First etc About Capgemini Capgemini is a global business and technology transformation partner, helping more »

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »

with millions of users per day. As a Lead Backend Software Engineer you'll join a cross functional team, collaborating with Data Scientists and Machine Learning Engineers as the business seeks to introduce cutting edge AI technology. You'll design and implement the underlying application layer to expose … AI concepts such as LLM, OpenAI, Hugging Face, Vision, multi-modal, embedding models, similarity search, dense vector persistence as well as an understanding of Machine Learning concepts - you may have an relevant MSc, contribute to blogs, attend conferences and events You have experience with RESTful APIs, messaging, event more »

large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow and infrastructure … support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity 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 »

trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to enhance CRM strategies based on data-driven insights. … and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills more »

the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models into production systems to drive real-time decision-making processes. CRM and … engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as more »

client needs. Lead the design, development, and deployment of data management frameworks, policies, and best practices. Oversee the integration of data analytics, AI, and machine learning into client solutions. Collaborate with cross-functional teams to drive data innovation and identify new business opportunities. Ensure data governance, compliance, and … experience in data science, analytics, and/or business consulting. Strong understanding of data management principles, data governance, and regulatory requirements. Expertise in AI, machine learning, and advanced analytics. Excellent strategic thinking, problem-solving, and decision-making skills. Strong leadership and team-building abilities. Exceptional communication and interpersonal more »

Title: Senior Software Engineer Package: Up to £0,000 + benefits Location: Hybrid (London, UK) Is this your next move? Building machine learning products used by blue chip companies worldwide. Working in a scale-up environment surrounded by like-minded and passionate engineers. Shipping software products into a … long untouched industry. SoCode Recruitment is hiring on behalf of one of their reputable clients. Our client is a machine learning company operating within the legal sector who are looking to scale massively throughout 2024 and into 2025. They have a well-regarded product in the market and … to also take ownership of decisions. Responsibilities: Take the lead on engineering initiatives. Mentor other engineers in software development and promote an environment for learning and growth. Collaborate with cross-functional teams to define technical requirements and system architecture. Drive the adoption of best practices in coding, testing, and more »

into Hastings' market-leading pricing activities. Our Actuarial Analysts apply innovative predictive modelling techniques to solve real-world business challenges, working closely with and learning from recognised experts in designing and implementing market leading insurance solutions across multiple product lines. We're passionate about data, modelling and innovation and … and industry. This role is within a combined team of Actuaries and Data Scientists championing the adoption of the latest machine learning (ML) techniques to leverage powerful insights from vast amounts of customer information. What you will do; Create and maintain analytical tools to support in the management … body recognised by the IFoA's mutual recognition agreement. 1-3 years experience building predictive models in an insurance environment. Keen interest in emerging ML techniques and their commercial value. Proficiency in SQL and experience using Python or R. Reward Salary - Attractive salary based on experience (pay reviews also completed 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 »

the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and post … particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the ability to 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 »

planning and delivering models and analysis that underpin the prices that go to market. You will need to understand both statistical modelling methods and machine learning techniques. Skills & experience needed: Solid knowledge of relevant statistical modelling methods – in particular GLMs Knowledge of relevant machine learning techniques more »

strategies. Conducting rigorous data analysis to identify market opportunities and risks. Collaborating with traders and other analysts to enhance trading algorithms. Utilising statistical and machine learning techniques to analyse large data sets. Continuously monitoring and improving model performance. Communicating findings and recommendations to stakeholders. Here are the skills … record of 6-18 months of real-world trading experience. Proficiency in programming languages such as Python, R, or MATLAB. Experience with statistical analysis, machine learning, and data manipulation. Excellent problem-solving skills and attention to detail. Ability to work effectively in a collaborative, fast-paced environment. Strong more »

first instance starting 4th November 2024. Main duties of the job The successful candidate will be involved in cutting edge research utilising statistical and machine learning models for biomarker discovery, contributing to the advancement of Food allergy. This project will be carried out under the supervision of Dr … analysis Experience handling missing data and imputation Experience within a research environment and publication in relevant and refereed journals Knowledge of Multivariate Statistics and Machine Learning Knowledge of Network Analysis for omics data Further information The post is full-time and fixed term until May 2026 and you 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 »

functional specifications across multiple functions Construct SQL queries, report and visuals, using technology like Tableau, for exploratory data analysis Develop and test models using ML model to generate predictive insights Essential Criteria must be clearly demonstrated on CV In depth commercial experience with Azure, AWS or Google Cloud IaaS/… PaaS in area of data preparation/integration and ML model constructions. Experienced with structured and unstructured data and proficient with good with Hypothesis formulation, data preparation and model building. Experience in combining qualitative and quantitative datasets. Experienced in either programming languages such as Python and/or R, data … Proficient with Data concepts and handling variety of datasets, good with hypothesis formulation, data preparation and model building. Should possess enough proficiency with Statistical & ML model building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest 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 »