351 to 375 of 2,080 Machine Learning Jobs in the UK

machine 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 … others to do that work reliably and at scale. What you'll be doingYou'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 teamsExtend Kubernetes with MLOps ...

deliver images and videos to millions of ASOS customers. This role focuses on designing reliable, responsible and high‐performing AI systems, using Deep learning embedding techniques for multimodal signal processing, and generative AI technologies such as large language models (LLMs). You'll work closely with Studios, Machine … evaluation frameworks for AI models, including automated testing and benchmarking to support ongoing improvement QualificationsKey Skills and Experience Proficiency in Python and familiarity with ML/AI libraries (e.g. PyTorch, TensorFlow, Hugging Face) for computer vision. Hands-on professional experience in fine-tuning and deploying machine learning solutions ...

Vacancy detailPhD/Post-Doctoral Researcher ML Quantitative Researcher - London/Paris200000 GBPDiscretionary Bonus Onsite WORKINGLocation: Paris, Central London, Central – United Kingdom Type: PermanentPhD/Postdoc ML Quantitative ResearcherRole Overview: My client is a leading global market-maker who are searching for exceptional ML Quantitative Researchers to join high-impact … markets, portfolio construction, or trading strategy developmentFamiliarity with time-series analysis, NLP, or pattern recognition techniquesExperience with additional tools such as R, MATLAB, or ML frameworksAdditional Achievements: Participation or accolades in elite quantitative competitions (e.g., International Mathematical Olympiad, Putnam Competition, ICPC, Kaggle, or other national/international math and coding ...

Senior Machine Learning Engineer - (DV Clearable) - Multiple Headcount Location(s) : Cheltenham or London Type : 4 days on-site, 1 day at home Salary : £75,000 - £95,000 Clearance : SC (Must be eligible and willing to go through DV Clearance) Must … sole British National We're looking for Senior Machine Learning Engineers to join a supportive, multidisciplinary team developing AI/ML systems to solve cri click apply for full job details ...

maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R-based applications and data workflows within AWS Work with structured and unstructured data to identify … experience in data analysis or data science 1+ years' commercial experience developing in R using RStudio/Posit Strong working knowledge of statistics and machine learning Hands-on experience building or maintaining ETL/ELT data pipelines Practical experience working with AWS, ideally including S3 and a managed ...

Architect and train models to expand robotic capabilities and prototype concepts. Apply domain expertise in sim-to-real transfer, imitation learning, Vision-Language-Action (VLA) models, multi-sensory learning (tactile, audio), and model optimization (distillation, pruning, quantization).Propose novel ideas, address manipulation hardware requirements, and communicate results … audiences. Minimum qualifications: PhD degree in a relevant quantitative field (e.g., Robotics, Computer Science, Machine Learning), or equivalent practical experience.5 years of professional research experience in an industrial research and development (R&D) laboratory.3 years of experience designing, training, and scaling reinforcement learning (RL), imitation learning ...

Machine Learning Engineer (MLOps Python LLM AWS) London/WFH to £90k Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be progressing your career in a hands-on technical leadership role ...

Lead Applied Scientist - AI & Machine Learning London (Hybrid - 2-3 Days per Week in the Office) Salary: £95,000 - £120,000 + Bonus + Excellent Benefits Are you an experienced AI and Data Science leader looking to shape the future of Generative AI and Machine Learning ...

view of customers across multiple business domains. Description We are hiring for two specialist Lead Data Scientist positions. Position 1: Decision Science, Optimisation & Production ML You will lead the development and operationalisation of advanced decision-science capabilities, helping the business optimise customer engagement, campaign performance and commercial outcomes. Key responsibilities … scenario planning models and leadership reporting. Investigating and explaining differences between data sources, methodologies and reported outcomes. Profile Position 1: Decision Science, Optimisation & Production ML You will possess: Advanced Python skills for machine learning, statistical analysis and production data science. Strong SQL capability across complex customer, campaign ...

bespoke analytics to be applicable to the broader investment sectors so that the solutions can be redeployed periodically. Stay current with developments in AI, machine learning, and data science, helping drive adoption of new capabilities across the investment platform. Qualifications, Experience & AttributesMSc, PhD, or equivalent degree in Mathematics … Statistics, Economics, Engineering, Computer Science, Data Science, Operations Research, or a related quantitative discipline.5+ years' experience applying data science, machine learning, AI, or advanced analytics to solve complex commercial problems with measurable business impact. Strong programming skills in Python and SQL, with experience building robust analytical solutions ...

deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML … agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering ...

deliver robust solutionsProvide technical guidance and mentorship to junior engineers, promoting best practice across AI developmentLead implementation of engineering standards across AI and ML deliveryStay current with emerging AI technologies and contribute to continuous innovationEssential Skills for the AI Engineer: Strong proficiency in Python with extensive experience using AI, ML … agent-based AI frameworksStrong experience with MLOps and LLMOps tooling including model lifecycle managementProven deployment experience on major cloud platforms including AI and ML servicesSolid foundation in software engineering principles for scalable, production-grade systemsExperience designing and delivering enterprise AI solutions including RAG-based architectures using vector databasesProven experience delivering ...

leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You'll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You'll also help shape how the courses are built, rather than just teaching … Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary: £70,000 - £80,000 Home-based, with travel to training centres and client sites (Cheltenham region ...

looking to make a difference in silicon. What they're looking for: First degree in relevant STEM subject 3+ years in industry building production ML systems Python + PyTorch/JAX expertise for training, inference, and model export Experience building data pipelines for complex scientific/engineering datasets Solid software … engineering fundamentals - testing, CI/CD, clean APIs End‐to‐end ML system ownership from data ingestion to model deployment Clear communication - writing specs, documenting APIs, presenting to customers Familiarity with circuit simulation or EDA tools (nice to have) C++/CUDA experience for performance‐critical components (nice to have ...

Lead and develop a multidisciplinary AI team , providing day-to-day management, mentorship, technical guidance and career development for AI/ML Engineers, NLP Engineers and Data Scientists. Own technical delivery , managing priorities, resources and engineering commitments while balancing rapid experimentation with production requirements. Remain hands-on , contributing Python code … Step Functions. What We Are Looking For: Proven experience as an Engineering Manager or Technical Lead with direct people-management responsibility for AI Engineers, ML Engineers, NLP Engineers or Data Scientists. Strong hands-on AI/ML engineering background, with advanced Python skills and experience developing production-grade AI systems. ...

play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets … complex business problems into software-engineered AI solutions- Deploying on cloud platforms like AWS, GCP, Azure- Contributing to open-source projects or AI/ML publicationTravel RequirementsNot SpecifiedJob Posting End DateThe salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range ...

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/data mining algorithms to answer those questions and implement those on the C3 AI Platform so they can run at scale. Qualified … 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 project and work both independently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. ...

solutions that efficiently and responsibly resolve complex natural resource, digital, energy transition and infrastructure challenges. Job Summary We're seeking a versatile Senior Machine Learning Engineer with strong data engineering instincts and a passion for production-grade AI systems. You'll play a pivotal role across … tune LLMs models for domain-specific tasks. Build evaluation infrastructure and benchmarking pipelines to compare model performance across multiple datasets and tasks. Apply reinforcement learning, knowledge representation, and automated decision-making to solve complex problems end-to-end. Data InfrastructureCollaborate with Data Scientist to build and own data pipelines ...

business based in Windsor, at the beginning of their journey to become a data enabled company with the adoption of advanced analytics, AI and ML operations. We're looking for a hands-on, numerically strong data professional to join a growing business and help transform its data capabilities. This … modelling. Explore AI applications to extract and validate information from documents, identify reliable data sources and automate processes. Support the integration of data and ML models within a Snowflake environment. Build data visualisations and dashboards to communicate insights to business leaders and investors. Work with stakeholders to translate business challenges ...

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 project and work both independently and in a team. Smart, motivated, can do attitude, and seeks to make a difference. ...

expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial … effectively handle complex client queries, shaping Bloomberg's generative AI ecosystem, and scaling these innovative solutions to support thousands of users. Leveraging both traditional ML approaches and Generative AI to prototype, build, and maintain high-performing, client-facing search and streaming applications that deliver timely and relevant financial insights. Building ...

data and AI platform, and to design, engineer and build the AI services that run on it: LLM and generative AI solutions, agents, machine learning and predictive models, and the next generation of data and AI technology. Reporting to the Head of Data and Analytics, you will … data and analytics. Key AccountabilitiesOwn Strategic AI Platform Direction: Define the target-state AI architecture, reference designs and patterns across generative AI, agents, machine learning and retrieval, aligned with the data platform and global business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally ...

deliver impactful solutions. Build AI-enabled applications leveraging Large Language Models (LLMs), Agentic AI architectures, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), and machine learning techniques. Develop tools supporting QIS strategy management, monitoring, and hedging activities. Contribute to the automation and industrialisation of QIS strategy workflows, calculations … asset classes. Your skills and experienceMust-have skills & experience Education & Professional Experience 5+ years of experience in a quantitative analyst, quantitative developer, AI engineering, machine learning, systematic trading, or front-office analytics role. Bachelor's, Master's, or PhD degree in Mathematics, Physics, Engineering, Computer Science, Statistics, Financial ...

solutions that enable analytics, automation, and AI-driven business outcomes. Develop and optimise Snowflake-based data platforms to support reporting, data science, and machine learning workloads. Create automated, reliable, and observable data pipelines that meet engineering, governance, and security standards. Collaborate with stakeholders and technical teams to promote … best practices in SQL, Python, data modelling, and AI development. Drive the adoption of AI, machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Skills we would love ...

knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Demonstrable experience delivering AI/ML solutions in a professional environment, with a track record of taking projects from concept through to production. Strong technical knowledge, including expert-level Python proficiency … experience with core data science and ML libraries (e.g., scikit-learn, pandas, PyTorch or TensorFlow).Practical experience with Databricks, including MLflow for experiment tracking and model management, and Spark-based data processing. Familiarity with Generative AI concepts and tooling, including working with LLMs, prompt engineering, RAG patterns, and vector search. ...