1 to 25 of 2,119 Remote/Hybrid Machine Learning Jobs in the UK

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 ...

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 ...

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&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 ...

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 … 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 ...

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 ...

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 ...

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 … 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 ...

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 ...

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 ...

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 ...

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 … 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 development ...

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 ...

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 ...

very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands‐on support for our machine learning models as they come to market but then will gradually develop self‐service tools that empower customers to achieve value independently. ...

very excited about our plans for growth over the coming year and beyond! The role We are now looking for a Machine Learning Engineer to build and deliver innovative AI products to our customers. Your software expertise and machine learning knowledge will help transform our customers … challenges and collaborate with them to leverage our AI in the automation of their work. Initially, you will provide hands-on support for our machine learning models as they come to market but then will gradually develop self-service tools that empower customers to achieve value independently. ...

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 ...

machine learning delivery in a role that blends technical depth with real world impact. You will work on production grade ML systems that directly improve operational and commercial outcomes, with the backing of a highly skilled, collaborative data team. The Company They are a specialist, data led organisation … learning models into live production environments Designing and maintaining MLOps workflows, including model lifecycle management Developing APIs and containerised services to support ML products Implementing DevOps best practices across development and production Collaborating cross functionally to align data, modelling, and business requirements Your Skills and Experience Strong commercial ...

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 ...