51 to 75 of 675 Remote Machine Learning Jobs

Engineer to join their expanding AI function. This is an excellent opportunity for someone with 3-5 years' hands-on experience building and deploying ML/AI systems to take the next step in their career, working on real production-scale applications rather than pure research or proof-of-concept … integration, including prompt engineering, fine-tuning, or RAG-based architectures Collaborate with data engineers and software developers to build robust data pipelines feeding ML systems Monitor and maintain deployed models, addressing drift, performance, and scalability issues Translate business problems into applied AI solutions in collaboration with product and engineering stakeholders ...

that ensure content remains safe, compliant, and high quality. We’re seeking a Senior Staff Machine Learning Engineer to build and scale ML systems that power safety, policy enforcement, and compliance across Spotify. In this role, you’ll shape how automated systems evaluate and act on content—ensuring … listeners and creators. What You Will Do Define & drive machine learning strategy for safety, policy enforcement, and compliance systems Build and scale ML systems for detection, classification, and risk assessment across content Develop automated decisioning systems that ensure consistent, reliable enforcement of policies Design systems that support real ...

to Rank : Expertise with pointwise, pairwise, and listwise ranking approaches, including re‐ranking, diversity, freshness, novelty, deduplication, and relevance optimisation. User Modelling & Behavioural ML : Experience modelling user intent, preferences, workflows, and engagement patterns. Familiarity with session‐based learning, sequence modelling, and balancing short‐term versus long‐term user … Graph & Entity‐Aware Ranking : Ability to incorporate relationships between companies, sponsors, lenders, law firms, instruments, documents, and events into ranking and recommendation decisions. Production ML Engineering : Experience building feature pipelines, online and batch inference systems, low‐latency ranking services, experimentation platforms, and monitoring for production machine learning systems. ...

perfect fit. About the role You’ll join the existing Risk Decisioning data science function here at Cleo; a thoughtful and collaborative team of ML engineers, analysts, and data engineers with significant industry experience that is at the heart of everything we do at Cleo. You’ll build and deploy … impactful workstream, focused on the machine learning that underpins our Risk Decisioning feature. Check out this blog on Isabelle's journey in ML at Cleo. What you’ll be doing Understanding core problems faced by our Risk Decisioning team and coordinating the ML function’s contribution to solving ...

solutions across our global operations. We are establishing an "Agentic Factory" - a dedicated, high‐velocity delivery team focused on designing, building, and deploying genAI & ML solutions, multi‐agent workflows, and automation systems to solve complex business problems. The primary goals of the team include: Leading the technical design and architecture … team in ingesting and transforming data from multiple systems, modeling data, and engineering data marts to create reusable data assets, including developing and implementing machine learning models, genAI, and Agentic AI. Creating an operating a company wide agentic AI solution platform to help scale up AI capabilities across ...

enterprise-scale decision-making. In this role, you will design, deploy, and optimize production-grade machine learning systems that support the full ML lifecycle, from training to inference. You'll collaborate with talented engineers to create highly scalable, reliable, and secure MLOps platforms capable of handling demanding workloads. … offers significant ownership, modern cloud-native tooling, and the chance to shape the future of production AI systems. Accountabilities Develop, automate, and maintain scalable machine learning pipelines, CI/CD workflows, and orchestration frameworks to support efficient model development and deployment. Design and implement high-performance model serving ...

business problems Develop LLM-powered solutions to automate complex workflows and unlock insights from unstructured data Build scalable AI products using Python and modern ML frameworks Deploy models into AWS and Azure production environments Work with Microsoft Fabric to engineer robust data pipelines and features Improve model performance through monitoring … date with emerging AI technologies and help shape technical direction You'll likely have experience with: Python and SQL TensorFlow, PyTorch or similar ML frameworks Large Language Models and NLP AWS or Azure Predictive modelling and machine learning Building production-ready AI applications Communicating technical concepts to both ...

combines exceptional software engineering fundamentals with hands-on experience delivering enterprise-scale Generative AI solutions into production. Whether your background is software engineering, machine learning, platform engineering or forward deployed engineering, we're interested in hearing from you. Alternative Job Titles We recognise great people often have different … titles. You may currently be working as: AI Technical Lead Staff Software Engineer Staff AI Engineer Staff Machine Learning Engineer Senior Staff Engineer Principal Software Engineer Principal AI Engineer Principal Machine Learning Engineer Lead AI Engineer Lead Software Engineer Engineering Manager AI Engineering Manager Machine ...

## Machine Learning Integration EngineerApplylocations: Cambridge Office, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR101685Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly … that requires attendance in the Cambridge office at least 2 days a week.**What will I be doing:**As a Software Engineer focussing on ML integration, you will assist with the deployment and optimisation of new and innovative machine learning models to further improve Darktrace’s services ...

Machine Learning Engineer, NLP | InsurTech, AI, Scale-up | London 5 Days in Office, Up to £165,000 Stocks & Benefits. Owen Thomas is partnering with a high‐growth, venture‐backed InsurTech scale‐up that is disrupting a massive $200 B global market. Using AI they deliver automation that … founding team, learning exactly how to scale a business from 0 to 1. Requirements 2+ years of commercial experience in AI/ML engineering or applied research. Strong experience working on NLP projects. A proven track record of shipping AI/ML projects from initial concept to live production ...

Automation theme covers all methods and technology that bring digitisation and optimisation of energy to scale using complex algorithms based on data science, machine learning, and the full spectrum of AI techniques (e.g. generative, agentic, etc). Specifically, the role entails: Leading and developing a team of research … domain such as Computer Science, Electrical Engineering, Control Systems, or a related field Experience across a spectrum of libraries, frameworks and services : such as ML libraries e.g. TensorFlow or PyTorch model servers such as AWS Bedrock MLOps such as ML Flow or Sagemaker agent/AI orchestration such as LangGraph ...

growing technology team delivering modern data platforms and AI-driven solutions. This is an excellent opportunity to work on large-scale data engineering and machine learning projects using the latest cloud technologies. The Role You'll design, build and optimise scalable data pipelines while developing and deploying machine learning solutions that solve complex business challenges. Working across cross-functional teams, you'll help deliver robust, secure and high-performing data products. What youll be doing: Design and build scalable data pipelines using Python, SQL, Spark and Databricks. Develop, deploy and optimise machine learning models ...

insurance. Excited to make an impact? Here are the details What you will do Define model development methodologies and best practices across the entire ML lifecycle Play a central role in selecting and evolving the technological stack Support the productionalization and evolution of the Oracles — entities that leverage machine … with emerging technologies What we’re looking for Core Skills & Experience Strong programming background with deep expertise in Python Experience across the lifecycle of ML model development, including production deployment Proficiency in software development practices such as: TDD BDD Commitment to code quality, readability, and maintainability Extensive experience in software ...

data science can enhance decision-making, optimise business processes and unlock new revenue opportunities. Leading projects from concept through to production, you'll apply machine learning, statistical modelling and advanced analytics techniques to solve complex business challenges. You'll also: Lead, coach and develop a team of Data … professional growth Plan and deliver data science initiatives using Agile ways of working, including sprint planning and progress reporting Develop, deploy and monitor machine learning models and analytical solutions in a production environment Communicate complex analytical findings clearly and confidently to both technical and non-technical stakeholders Identify ...

with cross-functional teams to design, develop and deploy advanced AI models, with a particular focus on Large Language Models (LLMs), AI agents and machine learning technologies. The Role As Principal AI Scientist, you will be the technical authority for AI research and innovation. You'll define … technical research initiatives and defining AI strategy. Experience taking AI solutions from research through to production. Excellent Python programming skills. Strong understanding of modern ML frameworks such as PyTorch or TensorFlow. Experience evaluating AI model performance and designing robust experimentation methodologies. Psychometric Experience You'll either have direct experience ...

Data Science Manager | Logistics, Autopanner | Hybrid Working | London & Hatfield Introduction Ocado Technology is changing the way the world shops using advanced Artificial Intelligence, Machine Learning, Robotics, Big Data, Cloud and IoT. We develop the innovative software and hardware systems that power Ocado.com, as well as the unique ‘Ocado … Responsibilities Lead a multidisciplinary team of data scientists and software engineers to research, develop, and deploy sophisticated planning systems. Drive the development of machine learning solutions focused on predicting and optimising route requirements, staffing needs, and sales estimations. Identify new opportunities to add business value through machine ...

well-defined and dynamic roadmap. By acting as a hands-on technical leader, you will empower your Senior Data Scientist to build robust machine learning models, and your Senior Data Analyst to scale impactful reporting processes Role Requirements: Strategic Direction & Roadmap: Define, build, and own the combined data … maintained across both predictive modeling and business intelligence. Hands-on Technical Support: Actively participate in the technical work. Provide direct support in developing machine learning models, building complex analytical pipelines, and structuring advanced reporting frameworks. Resource & Capacity Management: Oversee workload and project allocation across the two streams. Regularly ...

Loyalty.This is an opportunity to lead a talented team whilst remaining hands-on, solving some of our biggest customer, marketing and commercial challenges using Machine Learning and advanced analytics.Working across multiple product value streams, you'll partner with Product Owners, Engineers, Analysts and business leaders to identify where … combine technical leadership with commercial thinking, leading a team of Data Scientists whilst remaining hands-on in the design and delivery of production-ready Machine Learning solutions. Spending around half of your time on technical delivery, you'll coach your team, set technical standards and ensure Data Science ...

Salary: £100,000 - 120,000 per year Requirements Previous experience leading or managing data science teams in a commercial environment Strong background in machine learning, customer analytics, personalisation, or statistical modelling Experience developing customer-focused models Strong stakeholder management skills Experience delivering data science products and models into … scientists focused on delivering measurable customer and commercial impact Shape the technical direction and development of the team Help define the roadmap for how machine learning and advanced analytics are used to understand customers and deliver personalised experiences at scale Translate complex customer and behavioural data into clear ...

services. Working closely with senior leaders across Product, Technology, Risk and Compliance, you'll lead strategic transformation programmes, champion the use of AI and machine learning, and ensure the business remains at the forefront of financial crime prevention and payment innovation. Key Responsibilities Lead the strategy and transformation … business growth and regulatory compliance. Oversee financial crime controls across KYC, transaction monitoring, sanctions screening, fraud prevention and investigations. Drive the adoption of AI, machine learning and automation to improve operational efficiency and risk management. Provide executive oversight of payment operations, including card payments, Faster Payments, BACS ...

advanced algorithms and training techniques for Large Language Models (LLMs). LLM Training (Continued pretraining, instruction tuning, reinforcement learning, distributed training, efficient ML techniques) Post-training techniques for planning, reasoning & complex workflows (e.g., reasoning models, LLMs + knowledge graphs, test time compute, CoT pipelines, tool use & API calling, etc. … demonstrated experience successfully managing software development teams in an agile environment. Experience spearheading technical development in a cross-functional setting, with responsibility for ML applications; close partnership with Applied Scientists, R&D groups, or similar. A portfolio showcasing significant contributions to technology innovation Excellent project management, organization and communication skills ...

efficient code and have a good understanding of data structures and algorithms. A Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field is required. Preferred Skills Knowledge of Machine Learning Algorithms: Familiarity with various machine learning algorithms like linear regression, decision trees, SVM, etc. Experience with Deep Learning Frameworks: Experience with frameworks like TensorFlow, PyTorch, or Keras. Familiarity with Natural Language Processing: Understanding of NLP techniques and libraries like NLTK, SpaCy, etc. Knowledge of Cloud Platforms: Experience with cloud platforms like AWS, Google Cloud ...

ML algorithm development in the RF domain for electronic warfare South East England, hybrid working; to £58,000 + Benefits This renowned research institute is developing world-class capabilities in the understanding, management and exploitation of the electromagnetic environment through the application of AI technologies. They research new algorithms … Requirements: Demonstrable experience developing algorithms to solve problems in RF, RADAR, communication networks or similar physics or engineering domains. Commercial or academic experience applying ML techniques to real-world problems. Experience leading high-quality research projects including publishing research to top-tier reviewed journals. Strong academics including a relevant ...

Machine Learning Engineer, you will play a central role in making those systems production-ready. That means owning the engineering that takes ML models and AI capabilities from experimentation into reliable, scalable production use: the pipelines, the deployment tooling, the monitoring, and the shared components that make … quality of delivery across a fast-moving and expanding set of AI capabilities and systems. Some of the great things you'll be doing: ML Engineering and AI Systems Own the end-to-end delivery of production machine learning and AI solutions in collaboration with data scientists ...

signal generation pipelines from data ingestion and feature engineering to model training and deployment - in collaboration with our trading and infrastructure teams. Responsibilities Develop ML-based alpha generation models using high-frequency order book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored … monitoring. Requirements Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world problems. Familiarity with time-series modeling, signal extraction, or high-frequency data. Experience ...