1 to 25 of 2,576 Remote/Hybrid Machine Learning Jobs

role with a strong Machine Learning and Large Language Model (LLM) focus, ideal for a Python Engineer who has experience working with ML/LLM technologies. You will work alongside Software Engineers, Machine Learning specialists and the wider technology team to deploy, integrate and optimise innovative … with Machine Learning and Large Language Models (LLMs) this is an essential requirement for the role Experience deploying, integrating or working with ML/LLM models in practical applications Familiarity with machine learning frameworks, model deployment and inference technologies Experience using Python data and matrix manipulation ...

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 ...

move beyond experimentation and into real-world production environments. The Role As a Machine Learning Engineer, you will work across the full ML lifecycle, from designing and developing models through to deploying, scaling and continuously improving production systems. Depending on seniority, you will also have the opportunity … Develop and deploy production-grade Machine Learning solutions , building scalable AI systems that solve complex real-world challenges. Design end-to-end ML architectures , including model development, MLOps pipelines, deployment strategies and continuous optimisation. Collaborate with engineering, data and product teams to deliver robust, production-ready AI solutions ...

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 ...

robust, scalable production systems. Youll work closely with engineers, data scientists, technical leadership and clients to understand challenges, shape solutions and deliver high-quality ML products. Youll be involved across the full lifecycle, from technical discovery and architecture through to deployment, optimisation and ongoing improvement. Key Responsibilities: Build and deploy … production-grade machine learning software, tooling and infrastructure. Design reusable and scalable solutions that accelerate the delivery of ML systems. Work collaboratively with software engineers, data scientists and commercial stakeholders to solve complex client challenges. Lead technical discovery, scoping and architectural decisions. Help establish and improve engineering standards ...

solve all disease with the help of AI.Research Scientist (Machine Learning), LondonYour impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform … some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic LabsYou will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power ...

solve all disease with the help of AI.Research Scientist (Machine Learning), LondonYour impact As a Research Scientist in machine learning (ML), you will play an exciting role in building greenfield machine learning based models and algorithms that will power our platform to transform … some of the most ambitious modelling problems with deep learning - as well as providing technical mentorship and people management for others in the ML community at Isomorphic LabsYou will be instrumental in leading greenfield machine learning based research projects, building the models, and algorithms that will power ...

Machine Learning Engineer £75k-£100k DOE | UK Remote About the Role We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments. This role is ideal for someone … combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions. Responsibilities Develop advanced computer ...

uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DJob Title : Staff AI/ML Engineer - Controllable BiologyAt GSK, we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies … cutting edge of machine learning and AI. If that excites you, we’d love to chat.Job Purpose:The AI/ML Controllable Biology Team applies machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell ...

uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Job Title : Staff AI/ML Engineer - Controllable Biology At GSK, we see a world in which advanced applications of machine learning and AI will allow us to develop … cutting edge of machine learning and AI. If that excites you, we'd love to chat. Job Purpose: The AI/ML Controllable Biology Team applies machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single ...

senior and lead is where compensation accelerates, especially in London. Mid Data Scientist Senior Senior Data Scientist Lead Principal/Lead/ML Scientist London commands a 20-35% premium over the rest of the UK, driven by finance, consulting and the big-tech engineering hubs. Manchester, Edinburgh, Bristol, Cambridge … teams Scientific scepticism and intellectual honesty Continuous learning in a fast-moving field Technology & software firms Product analytics, recommendation systems, search, personalisation and ML platform teams — the highest-paying non-finance roles, often with equity. Risk modelling, fraud detection, algorithmic trading, credit scoring and quantitative research — a major, well ...

delivering machine learning solutions in a Data Science, Machine Learning or closely related role, including ownership of models or substantial ML components. Strong practical understanding of supervised machine learning, feature engineering, model selection, tuning, validation and evaluation, with experience independently improving model performance. Strong … particularly AWS, would be beneficial. Familiarity with analytics engineering tooling such as dbt would be useful. Experience with large-scale or near-real-time ML systems would be beneficial. Experience mentoring junior team members, supporting peer review, sharing knowledge and acting as a key source of technical support would ...

machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools … deliver innovative solutions using AI & Cloud.What You’ll DoTranslating Requirements: Interpret vague requirements and develop models to solve real-world problems.Data Science: Conduct ML experiments using programming languages with machine learning libraries.GenAI: Leverage generative AI to develop innovative solutions.Optimisation: Optimise machine learning solutions for performance ...

models and systems yourself, and is excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou’ll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.Leading the design, build ...

models and systems yourself, and is excited to grow into a broader leadership role.Not everything here is about LLMs. You’ll work on rigorous ML, forecasting, optimisation and operations research problems where quantitative thinking, pragmatic delivery and strong product judgement really matter.You’ll lead a growing team of Machine … working alongside data scientists, backend, mobile and web engineers, product managers, user researchers, designers and operations specialists.ðYou’ll play a key role by...Shaping the ML strategy for Workforce Management, helping us decide where ML, forecasting and optimisation can have the biggest impact for customers and human agents.Leading the design, build ...

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 ...

Engineer to join a growing AI and Data Science function within a leading global organisation. This team is responsible for developing innovative AI, Machine Learning and Natural Language Processing (NLP) solutions that power intelligent products used by customers around the world. Working within a collaborative, cross-functional engineering … environment, you'll play a key role in designing scalable AI platforms, productionising machine learning models and building cloud-native services that deliver real business value. This is an excellent opportunity for someone who enjoys solving complex technical challenges while mentoring others and influencing engineering best practices. ...

success. We’re uniting science, technology, and talent to get ahead of disease together.Find out more:Our approach to R&DJob Title : AI/ML Engineer - Controllable Biologyundefined At GSK, we see a world in which advanced applications of machine learning and AI will allow us to develop … cutting edge of machine learning and AI. If that excites you, we'd love to chat.Job Purpose:The AI/ML Controllable Biology Team applies machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single-cell ...

uniting science, technology, and talent to get ahead of disease together. Find out more: Our approach to R&D Job Title : AI/ML Engineer - Controllable Biology undefined At GSK, we see a world in which advanced applications of machine learning and AI will allow us to develop … cutting edge of machine learning and AI. If that excites you, we'd love to chat. Job Purpose: The AI/ML Controllable Biology Team applies machine learning and AI methods to biological networks and sequence data from large-scale human genetic, functional genomic, and single ...

build scalable, secure AI systems. What You'll Be Doing Design, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection. Build and deliver Generative AI and LLM-powered applications using modern AI frameworks. Lead experimentation cycles, defining hypotheses, running evaluations … iterating on models before production deployment. Develop robust ML pipelines using AWS services and MLOps tooling. Implement experiment tracking, model versioning, monitoring, and reproducibility best practices. Build feature engineering pipelines and contribute to feature store development. Monitor production models, optimise performance, and drive continuous improvements. Apply Responsible AI principles, including ...

LLMOps practices on AWS to build scalable, secure AI systems.What You'll Be DoingDesign, develop, and deploy machine learning models for traditional ML use cases, including forecasting, classification, and anomaly detection.Build and deliver Generative AI and LLM-powered applications using modern AI frameworks.Lead experimentation cycles, defining hypotheses, running … evaluations, and iterating on models before production deployment.Develop robust ML pipelines using AWS services and MLOps tooling.Implement experiment tracking, model versioning, monitoring, and reproducibility best practices.Build feature engineering pipelines and contribute to feature store development.Monitor production models, optimise performance, and drive continuous improvements.Apply Responsible AI principles, including explainability, governance ...

systems for large-scale multimodal datasets, including video, embeddings, and metadata, ensuring they are fast, reliable, and production-ready.The RoleWe're looking for experienced ML Systems Engineers to join our Research Services team and help build the infrastructure that powers machine learning across Flawless.This role is open across … Engineer. The level and scope of responsibility will be determined based on your experience, technical depth, leadership impact, and track record of delivery.As an ML Systems Engineer, you'll work closely with scientists, machine learning engineers, and platform teams to design and build the systems that underpin model ...

Machine Learning Engineer About Reply: Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public … learning processes in a variety of client environments. You will analyse client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data ...

boundaries of retail technology. About the Role As a Data Scientist in our Treefrogs team, you will play a key role in powering the machine learning algorithms behind Ocado Group’s Logistics and Supply Chain technology. Our mission-critical models drive key operational decisions for global partners, including … drive-time predictions, and supplier reliability. In this role, you will own the full data science lifecycle, from researching state-of-the‐art deep learning techniques to deploying, scaling, and supporting production‐ready models. Working closely with cross‐functional software engineering, data engineering, and product teams, you will tackle ...

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 ...