26 to 50 of 65 Remote/Hybrid Deep Learning Jobs

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth. With 40% of sales … from sustainable products, this is a company that combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel ...

Senior/Staff Machine Learning Scientist About Chemify: Chemify is revolutionising chemistry. We are creating a future where the synthesis of previously unimaginable molecules, drugs, and materials is instantly accessible. By combining AI, robotics, and the world's largest continually expanding database of chemical programs, we are accelerating chemical … full-time) or fully remote with regular travel to our Glasgow HQ/Chemifarm The Role We are seeking a Senior/Staff Machine Learning Scientist to work across the breadth of Chemify's platform — generative models for chemistry, search and planning for retrosynthesis, computer vision for telemetry from ...

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

Lead Machine Learning Scientist, FinCrime Location: Cardiff, London or Remote (UK) We are seeking a Lead Machine Learning Scientist to join Monzo's FinCrime team. You will lead the development and deployment of advanced machine learning models to detect financial crime and fraud, while protecting genuine customers … optimising operational costs. About our Machine Learning FinCrime Team Our Financial Crime Data team consists of 25+ people across analytics engineers, data analysts, machine learning scientists and data scientists. You will be part of a fast-moving environment building defensible capabilities to keep Monzo and our customers safe. ...

Cloud) and deploying AI solutions in cloud environments. Technical Skills: Proficiency in programming languages such as Python, Java, or C++. Strong understanding of machine learning algorithms, deep learning #J-18808-Ljbffr ...

seeking those who are dedicated as much to building safely and responsibly as to advancing disruptive agentic capabilities. We promote a mindset of openness, learning, and collaboration, where everyone has something to contribute. About the Research & Models Team The Models team builds the foundational models that power our cutting … understand, and act within complex environments. We own the entire pipeline including synthetic data generation, environment design, mid-training, supervised fine-tuning, offline reinforcement learning, online reinforcement learning, reward modelling, transition modelling, etc. Our team also has dedicated MLOps, Infra and Inference support at scale. We focus ...

structured and unstructured formats. Using strong critical‐thinking and problem‐solving skills, you’ll analyse and interpret data, build predictive models, and develop machine learning algorithms that generate actionable insights. You’ll propose solutions to business challenges and collaborate with other teams to implement them. Recognising the dependencies Group … capability, with proven experience in statistical modelling skills, and data interpretation Technical Skills: Proficiency in Python for data analysis, modelling and machine learning. Machine Learning: Experience building and evaluating machine learning models Education: Degree in Mathematics, Statistics, Data Science, or another quantitative field Communication: Strong verbal and written ...

Data Scientist, London/Oxford hybrid working Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real … strive to maintain. Our team values trust, respect, collaboration, agility, and quality. About the Role In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific ...

phase drug development Formulate, implement, test, and validate predictive models and build efficient, automated processes for delivering modelling results at scale Apply modern machine learning capabilities — including AI/ML, deep learning, NLP, causal ML, and explainable AI — across multiple data modalities and clinical development contexts Apply … statistical analysis using clinical trial or electronic health records data, particularly in a pharma R&D context Experience developing and validating statistical and machine learning models on high-dimensional data for time-to-event, longitudinal, and multivariate outcomes Experience in the application of AI/ML and proficiency ...

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 has successfully recruited four Engineers ...

working from home and our offices. Talk to us about how we can best support you! We are looking for a Lead Machine Learning Engineer to join our Data Science team, to lead the research and development process of ML/AI services developed in the Group Data Science … group priorities. Lead the implementation of data science projects and data science approaches to support commercial goals Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data ...

offices. Responsibilities Lead the implementation of data science projects and data science approaches to support commercial goals. Develop a highly proficient team of Machine Learning Engineers, establishing collaborative ways of working. Collaborate with tech, product and data teams to develop the data platforms that allow us to apply data … customer analytics) “brand” at Kingfisher for both internal and external audiences. Qualifications Proven experience delivering high-quality AI‐based products and productionisation of Machine Learning based products. Proven experience developing cloud‐based machine learning services using one or more cloud providers (preferably GCP). Excellent understanding of classical ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting‐edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? Fin's Machine Learning team is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands. … move to production fast, often shipping to beta in weeks after a successful offline test. We are very passionate about applying machine learning technology, and have productized everything from classic supervised models, to cutting-edge unsupervised clustering algorithms, to novel applications of transformer neural networks. We test and measure ...

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high‐fidelity, multi‐physics simulation through … please only apply for the role that best aligns with your skillset and career goals. Who We're Looking For As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced ...

engineering and product delivery. You will be responsible for designing, implementing and maintaining our multi-omics platform architecture, building and validating data and machine learning pipelines. This role requires a blend of analytical thinking, architectural engineering capability, and the ability to communicate complex findings to both technical and executive … processing large-scale, high-dimensional datasets, ensuring efficient data loading and manipulation within training pipelines, and overseeing data quality and storage optimisation. Familiarity with deep learning frameworks (e.g., PyTorch). Architecting and building an ML platform and core ML infrastructure from the ground up, ideally in a biomedical ...

shelf solutions for our specific needs and integrate them seamlessly into our product. End‐to‐End ML Lifecycle: Own the full machine‐learning lifecycle from ideation and development to testing, validation, and deployment. Ensure models are optimized for real‐time performance and scalability. Research and Innovation: Explore novel methods … robust and scalable deployments. Qualifications A Master’s or PhD in Computer Science, Engineering, or a related field. 3+ years of experience in machine learning and computer vision, with practical application of generative models. Proficiency in Python and experience with deep‐learning frameworks such as PyTorch. Familiarity ...

operate with a focused product lens, driven by curiosity and a commitment to technical excellence. As a Senior Data Scientist you will take deep, structured/tabular problems – rent arrears, tenant risk, contact strategy, repairs history – and work them through to clear, evidence‐based outcomes. Alongside our existing senior … clear call to do more, ship what we have, or stop. We’re looking for an accomplished data scientist with strong foundations, deep structured‐data experience, and the judgement to apply the right level of complexity – from simple, robust baselines to more advanced methods where they add clear value. ...

even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, mathematics, artificial intelligence, machine learning, or a related engineering field 1 year of experience developing agentic AI in production ready environments 3 years of relevant hands‐on experience with … machine learning algorithms The ability to write clean and maintainable code in Python, Rust, C++ or Java A strong background in the mathematical foundations of core ML algorithms, paired with hands‐on experience using deep learning frameworks (PyTorch, JAX, TensorFlow), agentic orchestration ecosystems (LangGraph, Google ...

Hear from the team. You’ll play a key role by: This role sits as part of a multidisciplinary squad, collaborating with other Machine Learning Scientists, Data Scientists, Backend Engineers, Operations specialists, Product managers, and Risk managers. You’ll play a key role by leveraging your deep experience … developing and deploying advanced Machine Learning models as to: Automatically and accurately detect suspicious user behaviours while minimising impact to genuine customers and operational costs. Adapt quickly and appropriately to changing fraud and financial crime trends, ensuring our detection systems remain performant through time. Design machine learning solutions ...

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 help shape … 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 tools ...

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 help shape … 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 tools ...

ensure work is prioritized based on business opportunities. You will proactively manage dependencies across the cross-functional team. This includes continuous collaboration with Machine Learning (ML) and Backend Engineers, particularly for post-purchase Estimated Time of Arrival (ETA) implementation. Communicate the team's direction and impact to senior stakeholders. … DSTL partners closely with the Product Manager to advise and influence the strategic prioritization of work. Business Root Cause Analysis (RCA) & Solution Strategy: Drive deep analysis to uncover the root causes and underlying business drivers of accuracy gaps in ETA models. This includes diagnosing operational friction points (e.g., courier ...

team leadership. You will define data science approaches, design robust software architectures, mentor junior colleagues, and ensure delivery rigor across projects all while building deep client relationships and solidifying our reputation as a leader in practical, measurable AI. What you'll be doing Leading project teams that deliver bespoke … quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep‐learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency ...

understand their problems Designing end-to-end AI solutions from the sensor to the user interface Training, evaluating, testing and productionising robust and performant deep learning models to solve real-world challenges Collaborating with other engineers to integrate models into our enterprise software product and resource-constrained hardware … apply even if you only partially fulfil the following lists. You should have: Masters degree (MSc, MEng, etc) in computer science, artificial intelligence, machine learning, robotics or a related engineering field 4 years of relevant experience researching and applying modern AI/ML in areas such as scene understanding ...