151 to 175 of 1,155 Machine Learning Jobs in the UK

Fraud team at Wise is dedicated to safeguarding our platform against financial crime and ensuring the protection of our legitimate customers. Leveraging cutting-edge machine learning, real-time transaction monitoring, and data analysis, our team is responsible for developing and enhancing fraud detection systems. Software engineers, data analysts … vision is: Build a globally scalable fraud prevention and detection engine to maintain Wise as a secure environment for our legitimate customers. Utilise machine learning techniques to identify potential risks associated with customer activity. Foster a strong partnership between our fraud investigators and the product team to develop ...

technology business whose products are used internationally across a range of safety, security and critical infrastructure environments. Combining intelligent software, advanced sensing technologies and machine learning, their solutions help organisations improve safety, efficiency and decision-making. Due to continued growth and investment in new product development, they … C++ Contribute to software architecture and technical design Build and maintain scalable Linux-based applications Work closely with data science teams to deploy machine learning models Conduct code reviews and mentor other engineers Develop and maintain automated testing frameworks Support CI/CD and release processes Collaborate with ...

learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value. What Youll Do Build, maintain, and optimise automated ML deployment … pipelines with CI/CD, containerisation, and orchestration. Monitor model performance, data drift, and system health to ensure reliability and availability. Support ML platforms and infrastructure on-premise or in the cloud (AWS, SageMaker), ensuring scalability and security. Collaborate with data scientists to productionise models and embed ML Ops best ...

recruit a researcher to join our rapidly expanding Data and Decision Support Capability. You should have a background in Machine Learning (ML) and/or statistical signal processing combined with programming skills in Python and experience in the use of libraries and toolboxes to support efficient development. … right candidate will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers ...

learning solutions that power 1-to-1 personalization for some of the world's leading brands. In this role, you will: Design ML use cases from the ground up — scoping solutions that optimize for real business value, accounting for the complexity of modern marketing journeys, and proactively identifying … risks to set each engagement up for success Build and own the full ML pipeline — taking customers' raw data through transformation, model training, and activation, so that model decisions are delivered to personalize experiences for millions of end users Drive customer success by providing ongoing technical guidance that ensures data ...

Client Subscription Mission for a 6-month contract. In this role, you will bypass recommendation engines and generative AI to dive into classic production ML problems directly impacting business growth (MAUs and Subscriber metrics). Specifically, you will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures … strong peer-support structure. What We Are Looking For Experience: Minimum 5+ years of proven industry experience working on production-level ML systems . (Note: This is a system-heavy deployment role, not a research or prototyping position). The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience ...

Machine Learning Engineer Location: England, UK - Remote Duration: 6-Month Contract with potential extension Payrate: £525 - £715 per day Inside IR35 About the Role We are looking for a seasoned Machine Learning Engineer to join our Client Subscription Mission for a 6-month contract click apply ...

real-time audio intelligence. This contract role is based in London with hybrid working and will suit someone who can combine strong applied ML capability with solid software engineering and production delivery experience. You will help build and improve machine learning models and cloud services that enable natural … responsive voice experiences across consumer devices and partner ecosystems. You will design, develop, train and optimise scalable ML models for areas such as far-field voice detection, speaker verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing ...

ROLE In this role as a Senior Data Scientist, you will: • Collaborate with product partners and stakeholders to identify opportunities to apply AI/ML to content, data, and products • Conduct research and identify AI/ML algorithms and methods to solve specific business problems • Implement rigorous testing and evaluation … Requirements: • Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience • 5+ years of experience developing AI/ML applications and data-driven solutions • Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. • Experience with LLMs, including ...

Machine Learning Engineer - Defence ££60,000 - £90,000 GBP Hybrid WORKING Location: Manchester Bristol London Newcaslte , Manchester, North West - United Kingdom Type: Permanent Machine Learning Engineer Newcastle Manchester Bristol London Hybrid Permanent Our client is a specialist technology consultancy delivering high-impact engineering across defence ...

looking for a Machine Learning Ops Engineer to help operationalise machine … learning across Affinity Water on a 24 month FTC. Youll work with data scientists, engineers, architects, and stakeholders to deploy, monitor, and maintain ML models in robust, scalable, and secure production environments, turning advanced analytics into sustained business value click apply for full job details ...

capability) who have real, hands-on experience building GenAI applications end-to-end. Not just prototypes, but production systems. This is a full-stack ML Engineering role where youll design, build, deploy, and monitor GenAI applications that integrate LLMs as part of a wider system. Youll be working on: Building … stack: data, model, application, and infrastructure Strong communication skills and ability to work with product, engineering, and business teams This is ideal for ML Engineers who love building end-to-end systems, not just models. People who can take a GenAI idea from concept to production and own the full ...

, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists … high stakes modelling environments/li , li Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/ ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

Integrating scalable production-grade AI/ML systems into engineering applications Guildford; to £80,000 plus benefits This engineering software company are integrating AI and machine learning features into their application suite, and seeking a skilled traditional software engineer with experience working on similar projects. You will have … interest include Python, C++ and C#. Software may be desktop or web + cloud. Mobile app development is not a primary focus. AI and ML techniques are likely working with numerical data or imaging rather than natural language/LLM. The role offers a highly competitive salary and benefits ...

business outcomes. How You’ll Make an Impact: Develop and refine AI prototypes and interfaces, with mentorship from senior team members Explore and apply machine learning algorithms and data analytics in real-world scenarios Code, test, and debug AI prototypes to ensure robust and efficient performance Engage with … business workflows Exceptional communication skills with both technical and non-technical audiences A proactive approach to learning and professional development within AI/ML Ability to work effectively both independently and in a collaborative team environment Why Choose Fitch: Hybrid Work Environment: Hybrid work model: 3 days per week ...

development of robust reporting capabilities that support stronger commercial decision making and elevate campaign management for client facing teams. As an AI/ML Engineer, you will be responsible for researching, designing, building, and automating predictive models, as well as establishing metrics to monitor model performance and accuracy. You bring … analysts, and other big data specialists across the organisation. Key Tasks & responsibilities · Write clean, elegant and maintainable code with Data engineering and AI/ML best practices· Understanding business objectives and developing models that help to achieve them, along with the creation and monitoring of business relevant metrics· Find ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

evolving goals. Passion for bridging fundamental AI research with impactful applications. Desired Demonstrated research track record with first‐author publications at top‐tier ML/AI conferences (NeurIPS, ICML, ICLR, etc.) Hands‐on experience with RL fine‐tuning frameworks (e.g., TRL, verl) and distributed multi‐GPU training. Active GitHub portfolio … showcasing relevant ML/AI projects. Strong interest in AI for science, world models, or reasoning systems for large language models. #J-18808-Ljbffr ...

measurement, embeddings, reranking, and retrieval orchestration. Experience with evaluation datasets, benchmarking, annotation workflows, and advanced programming skills in Python. Familiarity with modern AI/ML frameworks and tooling (PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large‐scale datasets, distributed data/ML platforms, and production AI systems. … assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Experience with production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high‐trust ...

SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading … technical vision and delivery of our core platforms: Build world‐class platforms Architect cloud‐native data and AI systems that support analytics, ML workloads, and real‐time operations Create API‐first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead ...

function. Rosso is tem's core IP: the AI‐powered engine at the heart of how we price, forecast, and optimise energy transactions. The ML engineers who build it work across time‐series forecasting, pricing, optimisation, and classical ML simultaneously. The work is technically complex and commercially critical. This role … strategy, delivery, budget, and outcomes. That's this role. You're not a coach on the sideline – you're the person accountable for the ML function performing and for Rosso hitting its numbers. You’ll report into the GM of Rosso, set strategic direction for ML in partnership with them ...