826 to 850 of 3,270 Machine Learning Jobs in the UK

Prevention Team The Scam Prevention team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting‐edge machine learning, real‐time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … across teams (Product, Data Science, Investigations). Nice to Have Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). What do we offer Starting salary: £111,000 - £145,000 The company Benefits #J-18808-Ljbffr ...

real-time data pipelines. Develop data ingestion, transformation and storage solutions for operational and AI workloads. Build and optimise vector search, retrieval systems and ML data pipelines. Ensure data reliability, governance, monitoring and observability across the platform. Work closely with AI, backend and product teams to support model training, inference … Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud platforms (AWS, Azure or GCP). JavaScript/Node.js experience. Event-driven architecture and stream processing experience. Previous ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

however please only apply for the role that best aligns with your skillset and career goals. What you will do Work closely with our machine learning engineers, simulation engineers, and customers to translate physics and engineering challenges into mathematical problem formulations. Build models to predict the behaviour … conversations, etc. This will involve writing for academic and non-academic audiences. Foster a nurturing environment for colleagues with less experience in DS/ML/Stats for them to grow and you to mentor. What you bring to the table Enthusiasm about using machine learning, especially deep ...

Responsibilities: Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases. Driveend-to-end model lifecycle ownership — from data exploration and feature engineering to deployment, monitoring, and performance optimisation. Provide hands-on technical leadership, reviewing Python … computing frameworks (e.g., Spark or similar) and scalable data processing environments. Exposure to cloud-based platforms (e.g., AWS, Azure, GCP or Databricks) and modern ML/MLOps practices. Proven track record managing and growing high-performing data science teams, including technical mentoring and delivery accountability. Strong stakeholder management skills, able ...

Bring *Degree (or equivalent experience) in Engineering, Computer Science, Data Science, Electronics, or similar (Essential) *Proven experience designing, training, and deploying AI/ML models (deep learning/classical ML) on real-world problems (Essential) *Hands-on skills integrating and deploying AI solutions on edge or resource-constrained platforms … constraints. (Essential) *Embedded system development using RTOS, with experience in debugging and troubleshooting target hardware. (Desirable) *Postgraduate qualification or formal training in AI/ML, data science, human-computer interaction or related specialism. (Desirable) At Safran, we understand that diversity and inclusion make teams stronger and more effective ...

integrate with a variety of engineering simulation tools and pipelines, both internally developed and from external partners. AI‐Powered Design Tool Innovation: Collaborate with ML engineers and development partners to design and build the next generation of AI‐powered engineering design tools. Technical Leadership and Mentorship: Provide technical guidance … mentorship to other software and ML engineers. Foster a culture of continuous learning and best practices within the engineering team. Essential Requirements Education: Bachelor’s degree (Master’s preferred) in Computer Science, Software Engineering, or a related field. Development Expertise: 5+ years of proven experience with full‐stack software ...

foster external collaborations with academic and industrial partners Follow scientific and technical standards for experimentation, reproducibility, and model evaluation Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users Qualities we look for We're looking for a scientist with a deep … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results. Expertise ...

measure quality, performance, and operational efficiency becomes increasingly important. The Role As an Applied Scientist, you will design and prototype AI/ML methods that improve data quality, scale human judgement, and support robust AI evaluation workflows. You will work on applied problems such as quality modelling, judgement aggregation, evaluation … design, LLM-assisted review, and reliability testing for AI systems. Ideal for someone with deep scientific judgement, strong applied ML skills, and a practical bias toward methods that work in real customer and product contexts. This is not a pure research role or a production ML engineering role. You will ...

years of experience testing, and launching software products, and 3 years of experience with software design and architecture. Experience in Artificial Intelligence/Machine Learning, Gen AI, and Software Engineering, including building agents, working with models, utilizing Vertex AI, and developing automation tools. Preferred qualifications: Master’s degree … Intelligence (AI). In this role, you will help shape the future of businesses of all sizes using AI and Machine Learning (ML). The company Cloud AI Research team addresses AI challenges motivated by the company Cloud’s mission of bringing AI to tech, healthcare, finance, retail ...

apply 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 … 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 ADK), and Model Context Protocol tooling ...

dynamic and passionate compact team dedicated to creating a SaaS solution to boost eCommerce revenue. We are selected as one of the 25 Machine Learning Startups to Watch by Forbes magazine. We are one of the fastest growing start-ups in AI based e-commerce solutions with multiple … object-oriented fashion Experience designing fault-tolerant, multi-region deployments in cloud environments is a plus Familiarity with recommendation algorithms, ranking, personalization, or ML integration into production microservices Hands-on with Solr/Elasticsearch/OpenSearch for large-scale product search is a plus Strong knowledge and focus on observability ...

supports various business functions across our Product teams and within Pricing and Claims. Working across the full spectrum of data science problems, from traditional machine learning for risk-based decisioning through to generative AI and the automation of complex operational journeys, all within a regulated insurtech/fintech … from you Must have: Excellent leadership and team management skills. A strong background as a senior data science individual contributor, with commercial experience delivering ML solutions end to end Proven ability to influence technical direction across Data Science and Engineering, including shaping scalable model/service integration patterns and challenging ...

evaluation , implementing rigorous frameworks to continuously monitor, measure, and improve GenAI feature quality, accuracy, latency, and user satisfaction. , Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive background in Data Science Engineering, with a clear track record of principal‐level technical leadership. Hands‐on experience … building and shipping AI/ML products in production Deep practical experience with LLM‐based systems: RAG architectures, embedding pipelines, prompt and response logging, evaluation frameworks. Hands‐on expertise with vector databases, graph databases, and knowledge graphs End‐to‐end exposure in model lifecycle development, including extensive experience training ...

Integrity Team The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally … across teams (Product, Data Science, Investigations). Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack (2025 update) See what ...

leader to define and execute our global Applied AI strategy. You will sit at the intersection of business strategy, engineering, data architecture, AI/ML and enterprise risk management, with accountability for turning AI from isolated experimentation into a scalable, controlled and commercially valuable capability across the group. … What you offer Press space or enter keys to toggle section visibility Significant experience in senior technical leadership roles across software engineering, data architecture, machine learning, applied AI, AI platform engineering or related disciplines. Deep understanding of distributed systems, enterprise data architecture, cloud platforms, application programming interfaces ...

data-driven platforms. Familiarity with cloud infrastructure (Azure, AWS, GCP). Experience working in scale-up environments with evolving priorities. Exposure to ML/AI systems or knowledge-based platforms Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch Please note During periods where we receive very high ...

foster external collaborations with academic and industrial partners Follow scientific and technical standards for experimentation, reproducibility, and model evaluation Collaborate deeply with Engineering, ML Platform, and HPC teams to deliver robust and reliable model updates to users Qualities we look for We’re looking for a scientist with a deep … Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX, experience working with large compute clusters and ML infrastructure is a plus. A track record of leading self-directed research projects that go well beyond academic exercises and deliver tangible results. Expertise ...

Software or Data Engineer with at least two years commercial experience in a broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Software AI Engineer can expect … wants to join a market leading business with innovation at its core please apply now to be considered Software AI Engineer Remote AI, machine learning, LLM, Python, PyTorch, Azure ...

innovation. The Chief Data and Analytics Office is responsible for building enterprise-scale, cutting-edge platforms for Data Management & Analytics and AI/ML Operations that are used firm-wide by the JPMC workforce for Artificial Intelligence (including generative AI)/Machine Learning (AI/ML) development ...

with clients.* Develop compelling narratives around IQVIA’s newest AI solutions and systems.### ### **Project Leadership & Delivery*** Design and oversee delivery of AI/ML projects involving clinical development simulation, RWD, trial data, omics, and other structured/unstructured sources.* Manage cross‐functional teams to ensure high‐quality, on‐time … solutions using state‐of‐the‐art platforms.* Lead multidisciplinary teams combining industry, technical, and functional expertise.* Guide development of AI strategy roadmaps, PoCs, ML pipelines, and deployment strategies.* Collaborate with external technology partners for successful delivery.### ### **Practice Building*** Shape and scale a new AI Life Sciences practice, including defining ...

ways of working for data architecture, DataOps, and governance. Ensure data models, pipelines, and storage systems support both product needs and advanced analytics/ML use cases. Bridge Data Science & Cloud Engineering Act as the primary interface between data science and cloud engineering teams. Translate analytical and ML needs into … design patterns pragmatically, appropriate to a small but growing company. Design data flows and lifecycle management from ingestion to consumption. Enable Advanced Analytics & ML Partner with the data science and software development teams to establish strong MLOps and DataOps practices. Support geospatial and large‐scale analytical workloads. Ensure data ...

Senior Data Scientist Hybrid - Leicester (1x day a week) £75,000 - £85,000 + bonus Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. … work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance. The Company They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial ...

depth knowledge of their discipline and area best practices to effectively resolve problems and roadblocks as they occur. Designs, develops, and reviews scalable machine learning models and statistical solutions to address complex business challenges, ensuring alignment with organizational standards. Refines … optimizes models through advanced feature engineering, hyperparameter tuning, and validation to ensure high performance and robustness. Collaborates with cross-functional teams, including AI/ML Engineering, to support model deployment, scaling, and operationalization. Provides technical guidance and mentorship to junior team members, reviewing their work for quality and best practices. ...

Lead Data Engineer - Fully Remote (UK) - AWS - AI & Machine Learning - Up to £110,000 Are you a Senior Data Engineer looking for the opportunity to own a data function rather than simply contribute to one? We're working with a high-growth technology business that is scaling rapidly … investing heavily in its data, analytics and AI capabilities. The organisation develops cutting-edge products that combine data, machine learning and AI to help global enterprise clients make better decisions through intelligent, evidence-driven insights. This is an opportunity to join at a pivotal stage of growth, taking ...