1,676 to 1,700 of 5,364 Machine Learning Jobs in the UK

system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance. Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards. Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration. Partner … learning or applied AI, ideally including production systems at significant scale in an adtech environment. A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact Experience leading, coaching or managing data scientists, ML engineers or closely ...

measurable business value from AI investments. MINIMUM (ESSENTIAL) REQUIREMENTS: Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised … DESIRABLE: Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

measurable business value from AI investments. MINIMUM (ESSENTIAL) REQUIREMENTS: Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised … DESIRABLE: Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

measurable business value from AI investments. MINIMUM (ESSENTIAL) REQUIREMENTS: Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series, supervised … DESIRABLE: Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

provide our customers with the information they need to make proper decisions and enable their digital transformation. You will help find the appropriate machine learning algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified candidates will have … agentic solutions, regression and classification, supervised, and unsupervised learning). Strong mathematical background (linear algebra, calculus, probability and statistics). Experience with scalable ML (MapReduce, streaming). Ability to drive a projectand workbothindependently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. Excellent ...

experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. We are looking … data-driven, intellectually curious Data Scientist who is energised by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem, partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. ...

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 ...

decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly.As an AI Research Senior Associate in J.P. Morgan … e.g., prototypes/pilots, reusable components (guardrails/eval tooling), reference architectures, or standards. Preferred qualifications, capabilities, and skillsResearch publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals)Practical experience with ML platforms such as TensorFlow/Keras, PyTorchComfort with rapid prototyping and disciplined software development processesPractical ...

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 ...

batch and 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 and product … Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars.Strong understanding of data modelling, storage architecture and performance optimisation.DesirableExperience 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 experience within a high-growth ...

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 ...

life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team … curate them to enhance their quality and create interoperable data assets that fuel IsoLabs research efforts. Work in partnership across research teams to create ML-ready datasets.Use your expertise in chemistry and/or biology to maximise the quality and scale of available training data.Contribute to the data team ...

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 ...

governance.What you'll be doing:AI Opportunity Identification: Actively research and identify high-impact opportunities for leveraging agentic technologies and broader AI/ML capabilities across our media business operations and client offerings.Concept Prototyping & Validation: Work hands-on with cross-functional teams to prototype, test, and validate AI-driven concepts … understanding of the media and advertising industry, including its key players, workflows, and operational challenges. Familiarity with common media production tools and workflows.AI/ML Foundations: Demonstrated interest and foundational knowledge in Artificial Intelligence and Machine Learning concepts, including Generative AI and/or agentic systems. You should ...

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 ...

largest real-time fraud detection platform to craft solutions for our enterprise customers. About the role: Your experience with data analysis, statistical modelling, and machine learning will lead to immediate real-world impact in the form of lower customer friction, reduced fraud losses and as a result, increased … machine learning model development, evaluation, and production deployment, with familiarity in MLOps principles to build scalable and standardised workflows and implement effective ML monitoring systemsProven ability to create polished presentations and effectively communicate insights to customers with attention to detailHave extensive multi-tasking and prioritisation skills. Needs ...

business.We are seeking a commercially focused and technically accomplished Director of AI to lead the design, implementation, and scaling of enterprise AI, machine learning, and cloud data platforms across the UK and Ireland.Reporting to the UKI Transformation Director, this role combines strategic leadership with deep hands-on expertise … infrastructureQualificationsSenior AI, data or technology leader with proven experience delivering large-scale AI and data transformation programmes.Strong hands-on technical understanding across AI/ML, Generative AI, Agentic AI, data engineering, MLOps, cloud data platforms and enterprise architecture.Experience operating across multi-cloud environments, ideally including GCP, AWS and open-source ...

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 ...

life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team … that will transform the biopharmaceutical world as we know it. You'll join our Platform group, where you partner with leading engineers, scientists and ML researchers to build the critical foundations driving that transformation.You'll be working as part of a small and highly efficient team on all parts ...

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 ...

data sets.Knowledge in mining large & complex data sets using SQL, Hadoop, NoSQL or SparkUnderstanding of statistical modelling techniques and the mathematical foundations of applied ML and AI algorithms and models.Explore cutting edge ML techniques to discover patterns and predictions to help solve customer needs.Contribute to complex and diverse projects … driven approachHave a practical understanding of machine learning, Deep Learning.Strong experience with Time series forecasting (ARIMA, ETS, Prophet, TS pattern detection, and ML methods) Strong experience with Causal inference, Intervention analysis and Scenarios simulation. Experience in developing probabilistic models, Proficient understanding of probability and statistics (esp. Bayesian methods ...

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 ...