76 to 100 of 402 Permanent Machine Learning Jobs with Remote Work Options

help to inform the business and work with the Performance Insights Lead to develop the BI dashboards and visualisation tools. - Investigate and implement relevant machine learning and AI tools to identify previously unknown insights and trends - Automate reporting and reduce the reliance on Excel based outputs - Build a …/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to use the data to make more »

CI/CD, CircleCI, FluxCD Your Experience: At least 5+ years of experience in development with GO is essential Expertise in data-driven systems, machine learning, and big data. Familiarity with batch and streaming technologies. Proficiency in multiple programming languages. Experience with container and orchestration technologies. Knowledge of …/document/SQL databases. Understanding of microservices, observability, and cloud providers of cybersecurity concepts and data.DevOps/SecDevOps Over the Top: Experience with machine learning algorithms. Knowledge Familiarity with Clojure. Experience with graph databases. Ready to make a difference in the cybersecurity landscape? Apply now. An attractive 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 »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity 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, commercial experience is valued but not essential You more »

I’m on the lookout for a Senior Machine Learning Engineer to join an InsurTech scale-up on a contract basis! You’ll be working closely with Data Scientists and Software Engineers to develop and productionise a … greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 3 stage interview process 6 month contract (possibility to extend) Mostly remote – twice per month 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 »

utilizing C# .Net and JavaScript within a fast-paced, dynamic environment. This role will involve working with AI so knowledge of Generative AI and Machine Learning is a must. As a result of their hard work, our client has received several award nominations across innovation projects and in … Previous experience leading the delivery of innovative products or software solutions Strong experience with agile ways of working Strong understanding of Generative AI and Machine Learning and a passion for keeping up with the latest revelations in tech This is a hybrid working opportunity out of their Leeds 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 »

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 »

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 »

AI tools such as AWS Bedrock , Azure AI , Claude , OpenAI , and similar platforms. Experience with natural language processing (NLP) and machine learning (ML) techniques. Familiarity with integrating AI models into business processes, particularly in customer service and finance. Ability to work independently and manage multiple tasks effectively in 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 »

Position Type: Freelance/Contract/B2B Summary: We are seeking Probabilistic modelling Specialist with a strong background in risk assessment, data analysis, and machine learning. The ideal candidate will be responsible for designing, developing, and implementing a comprehensive risk assessment module that evaluates potential risks associated with new … the design and development of a risk assessment tool/module to evaluate the potential risks of new projects. Utilize advanced statistical, probabilistic, and machine learning techniques to identify, quantify, and predict risks. Integrate the tool with existing project management systems and ensure seamless data flow and user … Experience in risk management or project management is highly desirable. Proficiency in programming languages such as Python, R, C++ or SQL. Strong understanding of machine learning algorithms, statistical methods, and probabilistic modeling techniques. 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 »

Title : Senior Software Engineer Package : Up to £80,000 + benefits Location : Hybrid (Cambridge, 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 … long untouched industry. SoCode Recruitment is hiring on behalf of one of its reputable clients in the Cambridge tech space. Our client is a machine learning company operating within the legal sector and looking to scale massively throughout 2024 and into 2025. They have a well-regarded/… best practices across the development lifecycle. 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 »

Direction : Define the technical direction of the systems and tools utilised by the team, particularly as we advance towards leveraging Machine Learning (ML) and Artificial Intelligence (AI) technologies. Required Experience: To excel in this role, you should have demonstrable experience with the following: Snowflake : Proficiency in Snowflake, including 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 »