76 to 100 of 671 Remote Machine Learning Jobs

If so, Gridiron IT is seeking an experienced Senior Data Scientist to join our innovative analytics team. The ideal candidate will have a strong background in multi-cloud environments, machine learning, and scalable data solutions, with the ability to design and implement cutting-edge analytics capabilities. Responsibilities Design and implement data science frameworks across multi-cloud environments Develop … including drag-and-drop data functionality Lead complex data science projects from conception to implementation Develop real-time data processing solutions and data solutions at scale Integrate AI/ML with applications and systems Mentor junior data scientists and contribute to the overall growth of the data science team Communicate findings and recommendations to both technical and non-technical stakeholders … such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in designing and implementing real-time data processing solutions Strong understanding of AI/ML applications in systems and software Excellent problem-solving and communication skills Experience with data visualization tools (e.g., Tableau, PowerBI) Desired: Experience in IC Familiarity with drag-and-drop data tools More ❯

selling products - we want to solve problems and change lives through Monzo ️ Our Operations Data team consists of over 40 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. In our Operations Collective, you'll have the opportunity to embed into an area that is the heart of how we work with our … customers' problems - delivering award winning customer support - and is full of data challenges. Data and Machine Learning supports all aspects of Operations, from workforce planning to customer support experience, to enabling teams to work effectively and efficiently. You'll work closely with the Product and Engineering in an agile product environment. You'll champion the use of data … how to build confidence with senior leaders across the business You have strong product knowledge and have built data products previously You have experience working with teams that build ML models and you understand how to build the right data set for ML models The interview process: Our interview process involves 3 main stages. We promise not to ask you More ❯

Job Title: A.I. Engineer Location: Hybrid Work Model Reporting to Vienna, VA Pay Rate: Open to Both C2C and W2 options Position Type: Multiyear Contract Responsibility: Build and enhance machine learning models through all phases of development including design, training, validation, and implementation etc. Unlock insights by analyzing large scale of complex numerical and textual data and identifying … assigned. Qualifications: Advanced degree in in computer science, mathematics, physics, statistics, or related field. Strong experience with applying expertise in model design, training, validation, and monitoring. Excellent understanding of machine learning, statistical modeling, and algorithms as well as their benefits and drawbacks. Experience with cloud computing infrastructure. Experience with Computer Vision, image processing and video analytics. Experience with … Natural Language Processing/Natural Language Understanding. Experience with deep learning framework and infrastructure like TensorFlow or PyTorch. Experience and/or willing to learn advanced techniques in Agentic A.I. framework and Large Language Models (LLMs). Experience and/or willing to research, develop, implement, and fine-tuning LLMs in terms of specific domains knowledge and user cases. More ❯

marketing applications Analyse large multi-modal datasets to extract insights and features that can be used by downstream AI models. Develop integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges. Stay abreast of the latest trends in AI research and integrate them into our products and services Communicate … technical challenges and solutions to non-technical stakeholders and team members. What we want from you: Experience in machine learning, with a strong knowledge of algorithms and principles. Proven track record of building and deploying machine learning models into production. Hands-on experience with both structured and unstructured data. Experience with deep learning models for More ❯

+ REMOTE – UP TOO £500 P/D Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highly motivated AI/ML DevOps Engineer to join their team on a contract basis. We are looking for a Data Scientist to develop and maintain high-quality data pipelines and analytics to support the … role ensures that AI systems are built on trustworthy, well-understood data, and meet standards for accuracy, fairness, and robustness. Key Responsibilities Prepare, clean, and transform large datasets for machine learning training and evaluation. Design and execute experiments to assess AI model performance across metrics such as accuracy, precision, recall, bias, and robustness. Collaborate with product and AI … risks. Essential Skills & Experience Proficient in Python with a strong command of data science libraries such as pandas, NumPy, scikit-learn, and similar tools. Experience designing experiments and validating machine learning models with appropriate statistical rigor. Deep understanding of machine learning performance metrics and statistical evaluation techniques. Knowledge of responsible AI principles, including bias detection, fairness More ❯

Enhance and evolve the existing forecasting suite in collaboration with traders and market specialists. Work closely with developers and consultants in an agile, cross-functional environment. Apply cutting-edge machine learning techniques to improve forecasting accuracy and usability. Tech Environment Languages: Python, C#, front-end web technologies Infrastructure: Microsoft Azure Modelling Approaches: Machine learning, optimisation, stochastic … and agent-based models About You Experience in the energy sector - markets, trading, forecasting, etc. Strong Python skills with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Knowledge of GitHub/Azure DevOps and SQL advantageous. Excellent communicator, able to explain technical concepts to non-technical audiences. Degree (or equivalent experience) in a numerical or computer science subject. More ❯

AI Research Engineer (LLM Python) London/WFH to £95k Do you have experience with Machine Learning, AI research and Python engineering? You could be progressing your career at a "Tech for Good" start-up that is using AI models to help people focus on healthy living to extend their life, making personalised health risk assessments and connecting … most of the time, meeting up with colleagues in the London office once a week. About you: You have achieved a BSc or Masters degree in Computer Science, AI, Machine Learning or closely related discipline You have experience in Machine Learning, AI research or engineering roles You have strong Python programming skills You're comfortable running More ❯

a skilled Data Analyst. This role will support an Insight Generation Project within the Data & Analytics function, focusing on advanced analytics and Artificial Intelligence (AI) Machine Learning (ML) driven insights using tools like Tableau and Snowflake. Responsibilities Develop and maintain interactive dashboards and reports using Tableau ensuring insights are communicated effectively Extract, transform, and analyse data from Snowflake … to support business insights Collaborate with data engineers and data scientists to support AI/ML initiatives Translate complex data into actionable insights for stakeholders Ensure data accuracy, consistency, and integrity across reporting outputs Contribute to the development of scalable analytics frameworks and best practices Regularly communicate and engage with stakeholders to define project goals while providing data driven solutions … years’ experience as a Data Analyst Strong experience with Tableau for data visualization and reporting Proficiency in querying and analysing data within Snowflake Demonstrable understanding of AI/ML concepts, with hands-on experience preferred Solid SQL skills and familiarity with Python or R for analytical tasks Ability to communicate insights clearly to technical and non-technical audiences Experience working More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance + bonus. One … of our leading clients is looking to recruit a Data Engineer Azure/Python/ML/AI. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

critical public sector and defence organisations. As part of our team, you'll leverage technologies like Palantir, Tableau, and cloud platforms (AWS, Azure) to build scalable data infrastructure, develop machine learning models, and create robust solutions that enhance public service delivery. Working in classified environments, you'll tackle complex challenges using tools like Hadoop, Spark, and modern visualisation … Implement data security and governance frameworks Build and maintain data APIs and services Analytics and Data Science Focus: Translate business problems into data queries and solutions Develop and deploy machine learning models Create advanced analytics solutions Provide insights through data visualization and reporting Design and implement A/B tests and experiments Collaborate with stakeholders to understand data … business transformation programmes Designing and implementing data lakes and warehouses using cloud technologies Creating automated data pipelines for continuous data integration Implementing data governance and security frameworks Building scalable machine learning infrastructure Collaborating with multiple departments, stakeholders, and external vendors Skills, Knowledge and Expertise We work predominantly within the UK Defence and Public Sectors so experience within those More ❯

AI, and segmentation consultancy. We use data, insights, and proprietary technology to create customer-centric strategies that drive real business impact. We have a long history of innovation in machine learning, natural language processing, and generative AI. About STRAT7 We are part of STRAT7, a global strategic insight and customer analytics group. STRAT7 specializes in customer-centric growth … quality, actionable insights for clients. Create segmentation models using multinomial logistic regression and linear discriminant analysis. Advanced Analytics Skills Strong working knowledge of analytical techniques such as conjoint analysis, machine learning (e.g., Random Forests, SVM), statistical methods (e.g., regression), time series, basket analysis, and unstructured data analytics. Ability to synthesize multiple data sources into meaningful insights and actionable … or Python. Experience with segmentation techniques such as k-means, latent class, hierarchical, and factor analysis. Understanding of working with market research and customer databases. Knowledge of statistics and machine learning applications. Experience with predictive modeling using linear models, XGBoost, discriminant analysis, etc. Beneficial Skills Experience with conjoint analysis and other pricing methods. Knowledge of GDPR and data More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business … Supporting the team in meeting ad hoc requests for customer insights from the rest of the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear … strong stakeholder management experience. Minimum criteria You'll need all of these. Educated to a degree standard, ideally in applied statistics/Data Science/Mathematics. Strong experience using machine learning to solve business problems involving both structured and unstructured data. Experience of working with cloud-based data stores such as Snowflake and strong experience querying data with More ❯

Science Manager to lead a core team responsible for critical models inside their product. We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best … in-class Machine Learning solutions. Looking for a role that combines technical brilliance with broader strategy? Check out the summary below! 💰 Salary: £120,000 + bonus 💻 Benefits: Uncapped bonus structure, work from abroad etc. 🚀 Industry/Type of business: Fintech 🏠 Remote working: Hybrid, London 🧩 Interview process: 3 stages 📢 Reporting to: Senior Engineering Manager & C-Suite 👏 Company size … manage a team of 7 Machine Learning focused Data Scientists, including senior IC's and juniors Strategic skills in planning, roadmapping & team management The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on) Python, SQL, Snowflake etc. The ability to engage a broad More ❯

Science Manager to lead a core team responsible for critical models inside their product. We're in need of a leader to manage a team of excellent Data Scientists & Machine Learning Engineers as the business continues to grow & invest in itself. Someone who can work alongside key business stakeholders, driving the development of the main product through best … in-class Machine Learning solutions. Looking for a role that combines technical brilliance with broader strategy? Check out the summary below! 💰 Salary: £120,000 + bonus 💻 Benefits: Uncapped bonus structure, work from abroad etc. 🚀 Industry/Type of business: Fintech 🏠 Remote working: Hybrid, London 🧩 Interview process: 3 stages 📢 Reporting to: Senior Engineering Manager & C-Suite 👏 Company size … manage a team of 7 Machine Learning focused Data Scientists, including senior IC's and juniors Strategic skills in planning, roadmapping & team management The hands-on classic ML skills needed to be an effective over-the-shoulder manager driving team growth & expertise (80% hands-off, 20% hands-on) Python, SQL, Snowflake etc. The ability to engage a broad More ❯

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with More ❯

Speechmatics is a cutting-edge applied AI Research company that is breaking down cultural barriers by building diverse and inclusive speech technology. We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion and create interactive voice interfaces of the future that … of audio and billion parameter modelswhich train across dozens of GPUs. It's all about finding bottlenecks across our 50+ languages. Our main research focuses arelarge-scale self-supervised learning, building state-of-the-art speech pipelines and breaking ground on our own emotive text-to-speech (TTS) models. What you'll be doing Working with a diverse group … and started on projects in your first few days. In addition, having a very collaborative culture, you will often be pair programming with a colleague on streamlining our production ML pipelines, reviewing other folks' code and suggesting new ways to tackle a tough real time factor (RTF) optimisation problem, as well as brainstorming novel approaches for analysing model predictions with More ❯

based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You … and optimisation of Azure Synapse, Databricks, and Power BI. Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth. Deliver predictive modelling, AI, and machine learning to create measurable business value. Champion intuitive self-service analytics for business users. Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2. Keep ahead … BI, with strong SQL, Python, Spark, and data modelling skills. Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines. Strong grasp of predictive analytics, AI, and machine learning applications. Excellent stakeholder management and ability to align data initiatives with business growth. Inspirational leader who can champion a data-driven culture across a complex organisation. Apply More ❯

based platform. As Head of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You … and optimisation of Azure Synapse, Databricks, and Power BI.· Drive integration of ERP, CRM, IoT, and external datasets into a single source of truth.· Deliver predictive modelling, AI, and machine learning to create measurable business value.· Champion intuitive self-service analytics for business users.· Implement best practice governance, ensuring compliance with GDPR, ISO 27001, and NIS2.· Keep ahead … BI, with strong SQL, Python, Spark, and data modelling skills.· Deep knowledge of cloud-native data architecture, data lakes, and streaming pipelines.· Strong grasp of predictive analytics, AI, and machine learning applications.· Excellent stakeholder management and ability to align data initiatives with business growth.· Inspirational leader who can champion a data-driven culture across a complex organisation. Apply More ❯

3D image analysis, life sciences/bio, machine learning, CNNs Cutting-edge researchers need the support of a PhD-qualified computer scientist with a specialty in image analysis, to work on 3D/4D (space and time) datasets in the life sciences, using a combination of image processing and machine learning techniques. You will support equally … Python, including advanced image processing for 3D datasets, and ideally interpretation of biological (not medical) data from time series microscopy. Likely TensorFlow, Keras, PyLattice or similar. Ideally use of machine learning, neural networks, particularly CNNs given the data involved, feature extraction and tracking. Familiarity with computer vision, cellular imaging, volumetric tiling, voxel imaging, 3D graphics (rendering), spherical harmonics More ❯

own capabilities, contribute to a robust change execution structure, and put ideas into action. Responsibilities Influence and coordinate cross-functional teams to deliver AI/Machine Learning (ML) TM solutions aligning with business needs and regulatory requirements Define and manage overall delivery roadmap, budgets, timelines, dependencies, milestones, and deliverables Oversee end-to-end testing, validation, performance monitoring, and … Drive process improvements and change management, embedding continuous feedback loops from analysis and investigators to refine detection scenarios as well as downstream investigation workflows Manage implementation of AI/ML enhancement into new products or regions, ensuring compliance, consistency and scalability Maintain strong customer and business focus, ensuring all change initiatives deliver value to the organisation, reduce investigator burden and … as Project Leader across complex, multi-stream initiatives (using Agile and/or hybrid methods) in Anti–Money Laundering (AML) and financial crime prevention Comfortable translating complex AI/ML concepts into business language, navigating competing priorities, and maintaining high standards of delivery, transparency, and control Excellent business orientation and understanding of the financial industry, preferably with deep experience in More ❯

leadership in a collaborative environment. This position sits within a growing Analytics and Insights team of four, focusing on the technical side of customer data analysis including statistical modelling, machine learning models, and data visualisation tools such as Power BI. You will manage extensive survey programmes, including over 1,000 customer surveys annually and transactional surveys, ensuring compliance … improvements. Key Responsibilities: Design and manage comprehensive customer survey programmes, ensuring statistical robustness and regulatory compliance with TSM requirements Process and analyse large datasets using statistical modelling techniques and machine learning approaches to uncover meaningful customer insights Translate complex data into clear, actionable insights for business stakeholders Create compelling presentations and visual reports, demonstrating strong storytelling abilities to … findings with strong storytelling abilities, capable of simplifying complex analysis into actionable business insights Demonstrate strong presentation skills and create compelling visual narratives from data Experience with statistical modelling, machine learning techniques, and data visualisation tools such as Power BI Comfortable managing large-scale survey programmes and working with both quantitative and qualitative customer feedback data Strong communication More ❯

trust. We give our team the space they need to deliver results and the environment to ensure they can have fun doing it. As a Director of AI/ML Engineering, you will oversee the completion of the platform build, taking development and accountability of a key new product in house. You will lead the scaling and build out of … to split their monthly work hours between our Dublin office and telecommuting from a home-based office in a hybrid work model. Primary Responsibilities Lead the OptumRx AI/ML CAT product team in Ireland Be a hands-on technical leader, actively contributing to model design, review and critical technical decision, and architecture. Optimize models for performance, scalability and efficiency … data science solutions assigned to the team - ensuring consistent use of tooling and processes across the team. Provide strategic and technical direction aligned to analytic efforts around AI/ML Stay current on internal and external technological advances in AI and advanced analytics that can be applied to document processing Drive inclusion and diversity as part of enhancing continued development More ❯