1 to 25 of 1,532 Remote/Hybrid Machine Learning Jobs in England

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Senior Machine Learning Engineer Salary: £80,000 - £90,000 Location: London|Hybrid Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help … build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies. You'll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You'll help establish robust MLOps practices and ensure Machine Learning ...

been removed by the job board, full contact details are readily available on our website). Keywords: Machine Learning Researcher/ML Research Scientist/Applied Machine Learning Scientist/AI Researcher/Research Engineer/Machine Learning Engineer/AI Engineer/Applied … Engineer/ML Scientist/Deep Learning Researcher/NLP Researcher/Research Software Engineer/Python/PyTorch/Large Language Models/LLM/LangChain/LangGraph/AI Agents/Enterprise Search/Neural Networks/Model Deployment/Edge AI/TensorFlow/scikit-learn ...

Machine Learning Engineer Location: Flexible (Hybrid) Working set up: Hybrid Salary: Competitive + bonus + benefits SPG are working on behalf of an established financial services organisation investing heavily in its data science and AI capabilities. As part of an expanding team, the business is delivering a range … learning models from research through to production. You'll work closely with Data Scientists, Data Engineers and Software Engineers to build robust, scalable ML solutions while helping define best practices, tooling and automation across the full machine learning lifecycle. This role is ideal for someone with ...

support model training and feature engineering. Work with structured and unstructured datasets at scale. Ensure data quality, reliability, and efficient processing across the ML lifecycle. Production Deployment & Monitoring Deploy machine learning models into production environments. Monitor performance, availability, and model effectiveness over time. Implement processes to support model … stakeholder engagement skills. Desirable Skills Experience with deep learning frameworks such as TensorFlow or PyTorch. Experience working with cloud-based data and ML platforms. Exposure to real-time recommendation systems and large-scale personalisation products. Experience within customer-facing digital or media environments. #J-18808-Ljbffr ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced … Python (Pandas, Scikit-learn, Jupyter, Matplotlib) Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services) Expertise: Solid understanding of computer science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. ...

good software engineering fundamentals. Experience could come from professional work, internships, academic projects, open-source contributions, or other practical software development. An interest in machine learning software and how AI models run on different hardware is important. Some experience with, or exposure to, machine learning frameworks … would be beneficial but is not essential. In this role, you will contribute to developing, testing, and improving software across different parts of the machine learning software stack. Working alongside experienced engineers, you will help investigate functional and performance issues and contribute to solutions across runtimes, compilers, drivers ...

Engineer role sits within Client Delivery, embedded in the Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI. The Machine Learning Engineer role sits within Client Delivery, embedded … Data & Analytics Consulting (DACs) team - a technical, client-facing group of Data Scientists and ML Engineers responsible for building and operationalising advanced machine learning and AI components across Xantura’s projects. As an ML Engineer here, your core work is designing, training, evaluating, and productionising machine learning ...

Design, develop, and deploy scalable machine learning systems that support demand forecasting and related AI products. Build and maintain end-to-end ML pipelines covering data preparation, experimentation, training, evaluation, deployment, monitoring, and optimisation. Develop large-scale data processing and feature engineering solutions using technologies such as PySpark … maintainable application development. Proven experience working with large-scale data processing technologies such as PySpark and Databricks. Strong background building end-to-end ML pipelines across the full machine learning lifecycle. Hands-on experience with deep learning frameworks including PyTorch, TensorFlow, or equivalent technologies. Experience with multimodal ...

skills we’re looking for to succeed in the role: Azure Cloud & AI Platform Expertise: Deep experience and strong understanding of Microsoft Azure (Azure ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, and Data Factory). Data Science & AI Development Skills: Fluency in Python and common modelling frameworks such … emphasis on auditability, versioning, and data security. You’ll collaboratively design and implement AI Ops on cloud (Azure). You’ll optimise deployment of ML & AI model scoring code in production services. You’ll use CI/CD pipelines, manage the deployment and version management of large numbers of data ...

supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within … Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers. Being part of the Consumer Data Science team will allow you to gain insight into how the business ...

supported with workplace adjustments including hybrid working expectations in line with our Flexibility Works policy. What you’ll be doing As a Senior Machine Learning Engineer, you’ll play a meaningful role in building and maintaining machine learning solutions in production across the Consumer business within … Lloyds Banking Group. You’ll bring strong software engineering experience applied within a machine learning and data environment, using this to make things better for the Group and its customers. Being part of the Consumer Data Science team will allow you to gain insight into how the business ...

Machine Learning Researcher (PhD Python AI) nr. Cirencester to £75k Are you a PhD educated Machine Learning Research Scientist looking to apply your research to one of the world’s most important environmental challenges? You could be progressing your career at a well funded start … learning and physical modelling, such as physics informed AI, surrogate models, neural operators, differentiable simulation or data assimilationYou have experience of developing ML models for remote sensing, Earth observation, geospatial data or other scientific datasetsYou have strong Python software engineering skills with a focus on reproducible, production quality ...

Senior Machine Learning Engineer Location: London Hybrid | Salary: £60-£80ph – Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning … with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly ...

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning models for difficult green-field problems? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product … developing technology that will change paradigms, contribute to a sustainable future, and improve lives. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science ...

Specific Skills and Experience Required We’re looking for strong C++ software development experience , ideally gained while building machine learning inference engines, runtime systems, or backend integration frameworks. Experience working with a machine learning inference framework such as LiteRT, TensorFlow Lite, ONNX Runtime, or a similar … design, develop, integrate, test, and optimise solutions within a large, modular codebase. Strong analytical and problem-solving skills, combined with an interest in machine learning systems, AI acceleration, and performance optimisation, will support success in the role. Beneficial but Not Required Experience across every area below ...

improvement. This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will … products, services and decision making across our retail brands. You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve ...

Data practice, we work with leading organisations to transform how they manage, govern, and utilise data, creating the trusted foundations required for advanced analytics, machine learning, and emerging AI capabilities. As a Databricks Data & AI Engineer, you'll design, build and optimise scalable data & AI solutions using … Databricks Platform, enabling advanced analytics, machine learning, and AI. Working alongside leading architects, engineers, and AI specialists, you'll help clients modernise their data platforms and create the trusted foundations that power intelligent decision‐making. We're looking for practitioners with a passion for building scalable, high-performance ...

opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make … latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. ...

opportunity to help shape our journey and build on our principles of collaboration, focus, and invention. Your impact We are looking for a Machine Learning Scientist to play a critical role in the development of new spatial biology biomarkers for haemato-oncology. You will develop algorithms that make … latest machine learning and computer vision techniques to analyse the cell and tissue morphology at different scales. We expect that you have an enthusiasm for AI products and a track record of interesting projects in image analysis to match. This is a highly creative, fast-paced environment. ...

work has a direct impact on customer experience and the company’s bottom line by reducing fraud and scams in financial transactions. Our ML scientists work on problems spanning fraud detection and prevention, transaction monitoring for suspicious activity, customer risk assessment and operational tooling. What you’ll be working … Learning Scientist is a technical individual contributor (IC) leadership role. You will be expected to leverage deep experience in developing and deploying advanced ML models on a modern cloud-native data platform to: Automatically and accurately detect suspicious user behaviors while minimising impact to genuine customers and operational costs ...

currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend). This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35 Description and Location Machine learning engineers … robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline ...

currently hiring for a Machine Learning Engineer - for an initial 3-6 months contract assignment. (Duration is very likely to extend). This is a hybrid working role with 2 days on site in Osterley, West London. Inside IR35 Description and Location Machine learning engineers … robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline ...

Machine Learning Engineer - Spiking Neural Networks Salary: £75,000 to £100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering … grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment ...

machine learning solutions, from problem framing and data strategy through to modelling, deployment, and iteration in production Design and build scalable ML systems to detect fraud, abuse, and policy violations in user-generated content across text and multimodal domains Lead the development and application of LLM-based approaches … shaping detection strategies in partnership with Trust, Policy, and Product Collaborate cross-functionally to translate business and safety goals into effective, production-ready ML systems, influencing trade-offs and priorities Communicate clearly and effectively with both technical and non-technical stakeholders, articulating approaches, trade-offs, and impact Qualifications: Proven track ...