1 to 25 of 1,287 Machine Learning Jobs in the UK

Applied Machine Learning Scientist London (Hybrid - 2 days per week) £80,000 - £110,000 + Benefits An innovative technology company is building next-generation AI solutions that optimise complex physical systems. Backed by significant recent investment, they're growing their research team to develop machine learning … Physics-informed Machine Learning Simulation Modelling Control Systems Optimisation Graph Neural Networks Distributed or Federated Machine Learning MLOps or Production ML MSc or PhD in a relevant discipline Why Apply? Work on genuinely novel AI research with real-world impact. Join a well-funded technology business ...

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 ...

deliver complex machine learning and data science solutions with a high degree of autonomy. Lead technical investigations, research activities and AI/ML development across customer and internal projects. Identify innovative approaches to solving complex technical challenges and contribute to future research directions. Provide technical leadership within project … Face, TensorFlow and PyTorch. Proven experience delivering machine learning solutions within commercial, research or government environments. Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision. Experience training, fine-tuning and evaluating machine ...

Principal Research Scientist - Machine Learning London, United Kingdom IMC is one of the world’s leading trading firms, combining quantitative research, technology and trading expertise to solve complex problems at scale. As Machine Learning becomes increasingly important within our Systematic Equities business, we are investing … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

MLOps Engineering Manager, you will help shape how we build, deploy and operate machine learning products at scale, working closely with ML Engineers, Data Engineers, Software Engineers, Data Scientists, Product Managers and stakeholders across Trainline. Responsibilities Build and lead a new team of MLOps Engineers, creating an environment … product and data teams to bring strong engineering standards into machine learning delivery, while recognising the specific challenges of data, AI and ML systems. Support the productionisation of batch and online machine learning models, including recommendation systems, classification and regression models, large language models and agent ...

build, and deploy machine learning and statistical models using Azure Machine Learning Studio (AML Studio) in production environments. Apply appropriate ML techniques to improve predictions such as longevity, default risk, and investment outcomes. Machine Learning Operations (MLOps in Azure) Manage the full ML lifecycle … using Azure ML Studio, including deployment, monitoring, retraining pipelines, and version control. Implement robust MLOps practices such as model drift detection, data quality monitoring, and automated retraining workflows. Data Engineering and Preprocessing Develop and maintain scalable data pipelines using Python, SQL, and Azure Data Factory (ADF). Ensure data ...

Focus), you’ll act as the specialist technical authority within your discipline — helping shape the architecture, technical direction, and implementation strategy behind our ML‐driven products and platforms. You’ll work closely with Machine Learning Engineers, Tech Leads, Product teams, and other Team Architects to design intelligent … guide technical implementation across areas such as trajectory prediction, motion synthesis, real‐time data processing, 2D‐to‐3D geometry pipelines, and cloud‐hosted ML services. You’ll also ensure solutions are scalable, reusable, maintainable, and aligned with wider engineering standards across the business. What We Value You’ll fit right ...

seeking a Principal Research Scientist to help define and accelerate our long‐term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine … learning community. Responsibilities Shape the long‐term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof‐of‐concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research ...

STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields Commercial experience developing machine learning solutions using Python and modern ML frameworks Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets Experience working with time-series, forecasting … work autonomously within a fast-moving environment Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience Experience deploying ML systems into production environments Exposure to scientific machine learning, simulation, or reinforcement learning Familiarity with cloud infrastructure and scalable ML pipelines ...

take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: Designing and implementing production-ready machine learning systems. Owning the full ML lifecycle … learning infrastructure What We're Looking For Commercial experience building and deploying machine learning models into production. Strong understanding of modern ML architectures and production challenges. Excellent software engineering skills with a focus on maintainable, production-quality code. Ability to work independently and take ownership of technical ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high ...

work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation … with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine ...

Team as a Freelance Machine Learning Operations Engineer – AI Trainer and contribute to building next-generation AI in real-world operations and ML workflows. About Us 10x Team connects freelance professionals with leading AI labs to develop advanced AI models. We are seeking experienced machine learning … content on machine learning operations, model deployment, and workflow optimization Assess the accuracy, technical relevance, and real-world viability of AI-driven ML operations scenarios and recommendations Develop example use cases, deployment strategies, and risk management exercises based on your ML industry experience Create multiple scenario variations reflecting ...

activities. As a Machine Learning Engineer you'll be focused on engineering, with around 80% of your time spent building and maintaining ML infrastructure, deploying and monitoring models, developing CI/CD pipelines, improving MLOps processes, refactoring code and adding new capabilities to existing ML services. … week with flexibility to work form home the other days. About you: You have experience in a similar Machine Learning/ML Ops role with experience of building and maintaining scalable data pipelines and ML platforms You have a strong understanding of software engineering best practices (clean code ...

model quality, robustness, safety and performance. Optimise GPU utilisation, memory usage and inference performance for production deployments. Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. Lead technical delivery, mentor engineers and help shape engineering best practices. Balance research ambitions with practical engineering … trade-offs to deliver value quickly. Technology Python PyTorch and/or JAX Large-scale GPU training and inference infrastructure Modern ML deployment pipelines Ideal Experience Proven experience delivering machine learning systems into production. Strong understanding of modern foundation models and large language models. Experience building scalable training ...

Location: London (Hybrid - 3 days per week) Data Idols are working with an ambitious early-stage technology company that is building a machine learning platform capable of solving complex behavioural prediction problems at scale. Already working with paying customers and backed by experienced founders with a successful track … with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with cloud platforms and modern ML tooling Curious and analytical mindset If you're looking for a role where you'll solve genuinely difficult machine learning challenges, build something ...

place to do it. An opportunity to play your part The AI Software Engineer is responsible for designing, building and operating artificial intelligence and machine learning solutions that deliver measurable customer and business value. This role focuses on taking AI from experimentation into production, developing reliable, scalable … using tools such as Python, SQL, Spark or similar data processing technologies. Experience deploying and operating AI systems in cloud environments using containerisation, managed ML services or serverless architectures. Understanding of MLOps practices including model versioning, experiment tracking, CI/CD for models and monitoring of model performance and drift. ...

About The Company AVT Reliability is a leading condition monitoring company providing engineering and reliability services worldwide. Machine Sentry is AVT's flagship condition monitoring platform, deployed across thousands of sites globally to help customersmonitorasset health and improve reliability. Job Purpose We areseekinga versatile and pragmatic Software Engineer … Machine Learning) to join the Machine Sentry development team. As a small, highly collaborative team, the successful candidate will contribute across the entire technology stack whilst helping drive the adoption of AI and machine learning within our products. Whilst AI and machine learning ...

fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background in financial … crime and fraud, combined with experience working alongside data science and machine learning teams, this could be the ideal next step in your career. The Role As Head of Detection & Decisioning, you'll be responsible for building and leading a specialist function focused on financial crime detection across ...

fraud and financial crime are detected across a growing fintech business. You'll take ownership of detection strategies, transaction monitoring, rules engines and machine learning driven decisioning, helping to protect customers while ensuring the business remains compliant with UK regulations. If you have a strong background in financial … crime and fraud, combined with experience working alongside data science and machine learning teams, this could be the ideal next step in your career. The Role As Head of Detection & Decisioning, you'll be responsible for building and leading a specialist function focused on financial crime detection across ...

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 ...

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 ...

Machine Learning Engineer - Multiple Levels Available London (Hybrid) - Python, SQL, TensorFlow, PyTorch - Azure, AWS & GCP - Up to £75,000 Our client is investing heavily in Artificial Intelligence and Machine Learning capabilities and is seeking talented AI professionals to join a growing technology team in London. This … career progression. You Will Work With Building and deploying AI and Machine Learning solutions Designing and implementing end-to-end AI and ML pipelines, from data acquisition and feature engineering through to deployment and optimisation Developing scalable ML pipelines and engineering frameworks AI model training, evaluation, optimisation ...

Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This hybrid leadership role sits … learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software ...

Responsibilities Create state‐of‐the‐art machine learning models to solve real‐world problems and apply them to NLP, speech recognition and analytics, time‐series predictions, or recommendation systems. Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy … Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. The Applied AI ML Director – NLP/LLM and Graphs role will apply sophisticated machine learning methods to complex tasks including natural language processing, graph analytics, speech analytics, time ...