501 to 525 of 2,074 Machine Learning Jobs in the UK

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 ...

introduced into a solution. You have a proven track record of successfully designing and deploying large-scale infrastructure on which significant AI/ML solutions operate in production and demonstrably deliver business value — not just systems that perform, but systems that move the needle for the organizations they serve. … build upon. As a recognized expert across at least one hyperscaler cloud — and conversant across several — you bring deep, current knowledge of AI/ML services, accelerators, interconnects, and cost levers, and you continuously scan the horizon to identify promising emerging technologies and judge where and when they belong ...

environment. Finally, EMs should be experts in developing relationships with customer stakeholders, as such relationships are critical for ensuring program success. Responsibilities: As a Machine Learning Engagement Manager, you'll be at the forefront of deploying Braze’s AI decisioning solutions for marketers in a wide range … goals. A Hands-On Technologist: You possess hands-on technical experience that allows you to contribute to a use case's architectural and machine learning design at a conceptual level. You're not just an action-item tracker; you can exchange ideas with a customer's marketing, data ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where ...

expert in at least one hyperscaler cloud (such as AWS, Azure, or Google Cloud), you bring authoritative knowledge of that platform's AI/ML services, accelerators, networking, and cost levers, and apply it to deliver best-in-class solutions. Beyond design, you set technical direction and standards, lead … mentor engineers and architects, partner with clients and stakeholders to shape the infrastructure roadmap, and are ultimately accountable for delivering AI/ML infrastructure that meets business SLAs, controls cost, and scales to enterprise and frontier workloads. THE WORK Own the end-to-end architecture and design of optimized compute ...

Data Engineering Modelling and Transformation team, you will be directly responsible for building and maintaining the foundational data warehouse that powers analytics, reporting, machine learning, and partner data products across Ocado Technology. In this role, you will transform raw operational data into trusted, governed, and business-ready datasets … ensure seamless downstream data delivery for all enterprise consumers. Key Responsibilities: Responsible for building and maintaining the core data warehouse that powers analytics, reporting, machine learning, and partner data products. Design, develop, and maintain scalable, reliable ELT/ETL pipelines across enterprise data solutions. Build and optimise dimensional ...

client pitch contribution, client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & Development – Training to support your career development and the skills demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

keen ability to assess, analyse, and meet client-specific needs. You willplay 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 techniquesto stakeholders.You will be designing solutions for complex challenges … 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, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent ...

000London AreaMachine Learning Research ScientistCan we build robots that learn and generalise, rather than simply execute what they've been trained to do? We're working with an early-stage UK robotics company building learning systems designed to operate in complex, unpredictable real-world environments. They're hiring … Machine Learning Research Scientist to tackle fundamental problems in robot intelligence - with research spanning vision-language-action models, world models, representation learning and robot learning. The questions are genuinely open-ended. How should robots represent and reason about the physical world? How can they learn new behaviours ...

DATA can create differentiated value. Develop a focused portfolio of Banking AI propositions, use cases and client narratives spanning Generative AI, agentic AI, machine learning, automation and intelligent decisioning. Translate developments in AI into relevant Banking propositions across areas such as customer service, operations, financial crime, risk, compliance … retail banking, commercial banking, payments, lending, financial crime, risk, compliance, operations and customer experience. Familiarity with enterprise AI concepts including LLMs, AI agents, RAG, machine learning lifecycle, data platforms, AI governance and responsible AI.Familiarity with major cloud and AI platforms such as Microsoft Azure, AWS, Google Cloud, OpenAI ...

equal opportunity employer committed to fostering an inclusive work environment throughout our organisation. We embrace all types of diversity. Responsibilities: Working with and learning from some of the market's top thought leaders, you'll become part of multiple, varied client projects from day one. These will focus … Build your core technical skills through hands-on experience and team support Deliver data science projects that involve the development, assessment and deployment of machine learning models and writing of high-quality code Learn and apply open-source tools and technology, alongside WTW's own proprietary insurance technology ...

promotes responsible tech for people and works to create better change. Creative tech for Better Change. Job DescriptionLead Consultant UK | GCP | Data & AI/ML Architect (Google Professional Cloud Architect)Company DescriptionOur mission is to build cultures of innovation at companies by transforming the way they work and by elevating … within Europe's top companies, then, keep on reading to see what we have to offer! Job DescriptionAbout the roleAs a Data & AI/ML Architect at Devoteam G Cloud UK, your mission is to help our existing customers get the best out of GCP by: Conducting GCP Data Architecture ...

SaaS organisation developing data and AI-driven products that help businesses unlock greater value from their data. Combining expertise in data engineering, analytics, and machine learning to deliver scalable solutions across a range of industries. This is an opportunity to work within a collaborative, lean engineering team where … data architecture, schema design and data modelling best practices Support CI/CD processes, deployment automation and version-controlled development Integrate AI and machine learning capabilities into production Support the adoption of DataOps best practices Mentor junior engineers and help develop engineering capability across the team Work across ...

required Up to £105,000 DoE + package Active SC or DV Clearance required 2-stage virtual interview process Experience required in AI/ML, LLMs, Python, Customer Consultancy We're supporting a fast-growing, high-performing technical consultancy specialising in AI, data and software solutions across Defence and financial … exposure across the AI engineering stack and working on technically challenging, real-world problems. Responsibilities Deliver AI solutions from POCs through to production Apply ML/AI techniques to complex Defence challenges Provide technical expertise across projects and client engagements Develop robust, maintainable software using strong engineering practices Work across ...

Product Management. For over a decade, Fin has invested in in-house AI, with a team of machine learning scientists, ML engineers, researchers, and AI designers. Now, we're expanding this team with product managers who will define the future of Fin AI platform and AI agent. … high-quality decisions and build a compelling roadmap. Work side-by-side with a world-class AI team. You'll collaborate every day with ML scientists, ML engineers, AI designers, and ML researchers. Together you'll explore new ideas, assess feasibility, evaluate trade-offs, and turn advanced AI capabilities into ...

shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients … chatbots to enhance user experience and efficiency. Leading projects that utilize Retrieval-Augmented Generation (RAG) and GraphRAG techniques. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. What ...

segmentation, encryption, logging, auditability, secure configuration, and operational ownership. AI Security, Automation & EngineeringDefine and apply security requirements for enterprise AI, generative AI, copilots, agents, machine-learning services, and AI-enabled SaaS solutions, including data access, prompt and response handling, model or service permissions, identity, logging, retention, and human … workload protection, vulnerability management, attack-surface management, and risk-based remediation. Experience defining or evaluating security controls for generative AI, enterprise copilots, AI agents, machine-learning platforms, or AI-enabled SaaS solutions. Understanding of AI-specific security risks, including prompt injection, sensitive-data exposure, insecure tool or agent ...

responsibly and at scale. Must-Have Proven Production Experience: You have lived it, breathed it. Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. … communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. Well explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence ...

Machine Learning Quant - Start Up £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist click ...

efforts to harden our systems, ensuring our groundbreaking AI is built on an unshakeable base, working closely with the research team and the Applied ML teams to ensure the infrastructure is stable, reliable and can operate with more data and larger models as we grow. What You Will DoDevelop … cycles. Deliver high-quality and well-tested user-focused features. Skills and QualificationsEssential: Proven experience in architecting and managing large-scale AI/ML workloads in a production environment. Orchestration: Significant experience deploying and managing complex workloads within Kubernetes. Expertise in cloud compute design, specifically within Google Cloud Platform ...

Account Integrity TeamThe 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 … mentoring and growing more junior Engineers. Nice to Have: Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production).Additional InformationAdditional informationInterested? Find out more: How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what it's like ...

knowledge across the following areas: Artificial intelligence, Generative AI and Agentic AI.Large language models, retrieval-augmented generation, AI agents, automation and enterprise AI patterns. Machine learning and advanced analytics. MLOps and LLMOps, including AI evaluation, monitoring and observability. Modern data architectures, data platforms and data products. Data governance … computer science, engineering, mathematics, data science or a related field, or equivalent professional experience. Relevant AI, data or cloud certifications, such as Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer, Databricks certifications, Azure Solutions Architect Expert, AWS Certified Solutions Architect, Google Professional Cloud Architect or Certified Kubernetes ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

requirements. Partner closely with Engineering and technology teams to define, develop and deliver AI-enabled product capabilities using technologies including Generative AI, LLMs, Machine Learning and AI agents. Evaluate and prioritize potential AI agent skills and capabilities, building clear hypotheses and recommendations to support product and investment decisions. … development, launch and continuous improvement. Previous exposure to AI-powered products or capabilities is essential, with a good understanding of concepts such as AI, Machine Learning, Generative AI, LLMs and Agentic AI. Candidates do not need to be AI engineers, but should be comfortable working with these technologies ...

using SQL, Python and Snowflake-native technologies Delivering enterprise-scale cloud migration and data modernisation programmes Creating trusted, AI-ready data products for analytics, machine learning and AI use cases Working with Snowpark, Snowpipe, Streams, Tasks and Dynamic Tables Driving best practice across data engineering, CI/… data governance, security, lineage and role-based access controls Exposure to CI/CD, DevOps, Infrastructure-as-Code and Terraform Experience enabling analytics, machine learning and AI-driven data solutions Excellent stakeholder management, communication and leadership skills Interested? If you're a Lead Data Engineer, Snowflake Technical Lead ...