1,901 to 1,925 of 6,391 Machine Learning Jobs in the UK

Engineer - LLM & Agentic Systems London - Hybrid. Circa £500 – £675 per day (and negotiable DOE) Contract (Outside IR35) Mid-level, Senior & Lead. Agentic AI/Machine Learning. Company: Our client is a globally established data and information services business, operating across multiple high-value industry sectors. They have established data … science and machine learning engineering teams already delivering in production, and are now expanding their AI capability significantly across the global organisation. This is a role for people who ship. If you've built LLM-powered systems and agentic workflows that are live in production - not demos ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … value — agents that use tools, orchestrate multi‐step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals — you write clear, tested, maintainable Python code that others can build on Fluency with ...

hybrid cloud transformation solutions. Responsibilities: Design, architect and lead the delivery of AI-ready infrastructure platforms that enable large-scale machine learning (ML), generative AI (GenAI), agentic AI and high-performance computing (HPC) workloads. The successful candidate will be responsible for defining AI compute architectures across on-premises ...

infrastructure, with scope to take ownership of specific workflows and grow your influence as you do. You'll join a cross-functional team of machine learning engineers, software engineers, bioinformaticians, drug discovery scientists and clinicians, all working to sharpen how Healx makes better decisions in drug discovery. … value - agents that use tools, orchestrate multi-step workflows and behave reliably in production. You have at least 2 years of software engineer or ML engineer working experience. And you have strong software engineering fundamentals - you write clear, tested, maintainable Python code that others can build on Fluency with ...

running regular tabletop/purple-team exercises and postmortem improvements. A major focus is driving AI security and internal AI governance: integrating LLMs/ML into SOC triage and anomaly detection, defending AI attack surfaces (agent activity, prompt injection, machine identities), hardening against AI-driven threats (phishing-resistant … similar — used to remove toil, and a track record of expanding coverage without proportional headcount growth. A working understanding of AI and machine learning security: how these systems fail, how they're attacked, and how attackers use them. Demonstrated success working with customers on security reviews, audits, escalations ...

job. Our customers are asset managers, banks, and financial data firms who need reliable data extracted from documents that were never meant to be machine‐readable. The role You’ll be a data-obsessed super‐IC managing a fleet of AI agents. This role is for someone … intensity is high, learning is faster) Founders Aleksi (CEO) — Cambridge engineering + ML. Co‐founded Secondmind, founding team at Sylvera. Previously worked on ML with Carl Rasmussen at Cambridge. Krista (CCO) — Former Head of Market Intelligence at Climate Bonds Initiative. Deep sustainable finance and capital markets expertise. Small team ...

unethical sourcing - creating real change in our world. About the Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain to get those models running within live products and workflows. … forward, Oritain is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical ...

Требования 5+ Years of Product Management experience delivering technical products, data products, analytics solutions, AI-powered applications, or enterprise software Experience in analytics, data, machine learning, AI, or other technical product domains Strong understanding of how users interact with data and analytics products to answer questions, generate insights … technical stakeholders to define requirements, prioritize work, and deliver products iteratively Strong familiarity with generative AI, Large Language Models (LLMs), conversational AI, or machine learning-powered experiences Understanding of retrieval-augmented generation (RAG), AI agents, orchestration frameworks, evaluation approaches, or similar AI product patterns Strong analytical and problem ...

Skills Senior product management experience for technical platform or infrastructure products, delivering complex roadmaps in regulated environments with minimal oversight. Strong understanding of the machine learning lifecycle and what it takes to move models and AI applications from experiment to production. Outstanding stakeholder management and influence; builds trust … requirements into product strategy and execution. Excellent written and verbal communication skills in English. Preferred Qualifications, Capabilities & Skills Product management experience for AI/ML, MLOps, or data platforms. Familiarity with MLOps concepts and frameworks, such as MLflow, Amazon SageMaker, and feature stores. Familiarity with AI concepts, such as Retrieval ...

Market Making | Quantitative Research | Statistics | Python | Sports Betting | Trading | Execution Research | Algorithmic Trading | Machine Learning | PhD | MSc Do you have experience developing market making strategies, execution algorithms, or automated trading systems? Would you like the opportunity to work on complex problems across sports betting markets, trading strategies, pricing … plus bonus, with hybrid working in North London. Market Making | Quantitative Research | Python | Sports Betting | Trading | Statistics | Risk | Algorithmic Trading | Machine Learning | MSc | PhD | Hybrid | Up to £120k + Bonus #J-18808-Ljbffr ...

/ELT tools such as Fivetran or Airbyte Experience designing and operating production data pipelines, including CI/CD practices for data and ML workflows Strong engineering fundamentals: version control, testing, monitoring and documentation Comfortable working directly with AI coding assistants (e.g. Claude, Claude Code, GitHub Copilot) as part … deterministic or probabilistic matching pipelines Experience with event streaming architectures (e.g. real‐time ingestion, sub‐second/sub‐minute latency pipelines) Exposure to productionising machine learning or forecasting models (e.g. XGBoost, AutoGluon, Meridian, Robyn) built by data scientists Experience with reverse ETL and activation into media ...

Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting Hands-on experience with LLMs, Prompt Engineering … skills Ability to translate complex business requirements into scalable AI solutions Excellent written and spoken English Proficiency in Chinese Mandarin Self-driven with strong learning agility, curiosity for emerging AI technologies, and ability to thrive in a fast-paced customer-facing environment Core Competencies Demonstrates expertise in designing ...

propositions. Experience delivering products through the Software Development Life Cycle (SDLC) using Agile or Scrum methodologies. Understanding of AI and Machine Learning (ML), model lifecycle concepts, and AI-enabled workflow design. Demonstrated success leading cross-functional initiatives, navigating complex matrix environments, and delivering measurable operational value. Experience ...

unethical sourcing - creating real change in our world. About The Role As a Statistical Data Scientist, you'll build the statistical models and machine learning methods behind our origin-verification science, then work with teams across Oritain to get those models running within live products and workflows. … forward, Oritain is the right place for you. Key Responsibilities Collect, clean and process data from a range of sources. Build statistical models and machine learning algorithms that turn data into decisions. Develop and deploy predictive models to solve operational and commercial challenges. Build visualisations, dashboards and analytical ...

database consistency under heavy load. Automation & AI Integration: Partner with Product Engineering to evolve our real-time auto-moderation pipeline and integrate AI/ML models into our core data workflows. Observability & Incident Automation: Leverage our observability stack (powered by ClickHouse and Grafana) to automate incident investigation, drive performance improvements … stakeholders. Desirable Experience architecting or migrating legacy batch systems to real-time streaming data pipelines. Foundational knowledge or practical experience integrating Artificial Intelligence/Machine Learning models into production data workflows. Corsearch is an equal opportunity and inclusive employer and does not tolerate discrimination of any kind. ...

emerging technologies. Key Responsibilities Design, develop and implement AI solutions for customers and internal business requirements Identify opportunities where AI, automation and machine learning can improve business processes Integrate AI technologies into existing IT environments and managed service solutions Work with Microsoft and cloud-based AI technologies, APIs … comfortable working in a customer-facing Managed Service Provider environment. Ideally, you’ll have: Proven experience working as an AI Engineer, AI Consultant, Machine Learning Engineer or similar Practical experience implementing AI solutions within an MSP or managed service environment Strong understanding of Generative AI, LLMs ...

secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce - improving outcomes and saving lives. Proximie was commercialised … dependable at scale. Using your deep technical expertise and real‐world production experience, you will own the platform and the infrastructure that carry our machine learning solutions out of development and into hundreds of live hospitals, and keep them performing once they are there. Our machine learning ...

driven lakehouse built on AWS and aligned to medallion architecture principles — delivering high-quality, well-governed data products that support analytics, trading insight, and machine learning use cases. This platform underpins critical decision‐making across trading, risk, personalisation, and analytics, and represents a key step forward in standardising … between upstream event producers and downstream consumers. Optimise pipelines and storage for performance and cost efficiency within AWS. Collaborate with analytics, data science, and machine learning teams to translate business requirements into high‐quality data assets. Contribute to data governance practices, including metadata management, lineage, and discoverability. What ...

Senior Machine Learning Engineer Salary: £80,000 - £90,000 Location: London|Hybrid Data Idols are working with an innovative technology business that is continuing to invest in its Machine Learning and AI capabilities. They are looking for a Senior Machine Learning Engineer to help … build and deploy high-performance Machine Learning solutions, working across modern AI and Generative AI technologies. You'll work across the full ML lifecycle, from experimentation and development through to deployment, monitoring and optimisation in production. You'll help establish robust MLOps practices and ensure Machine Learning ...

innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. The Expedia Group Pricing … within a globally distributed team environmentPreferred QualificationsExperience with low-latency and high-throughput processing (1M+ TPS) microservices. Demonstrated proficiency in safely integrating AI/ML-enabled solutions within backend systems and leveraging AI-driven tools or workflows to enhance real-world product outcomes. Accommodation requestsExpedia Group is committed to providing ...

other high-growth fields. We have conducted numerous inspiring webinars that have reached an audience exceeding 100 individuals. Our upcoming initiatives will provide invaluable learning experiences by allowing audiences to gain insights from accomplished leaders, who will share not only their successes but also their journeys through failure. Despite … Resposibilities Work closely with our esteemed data science team to gather, refine, and analyze extensive datasets, refining skills in data preprocessing and visualization. Apply machine learning and data mining methods to derive insights from large datasets, including identifying Excel interface structures. Utilize Python programming for Exploratory Data Analysis ...

source of process for its own sake. You're technically fluent enough to hold your own with strong engineers: you can translate an ML model, a streaming architecture or a latency constraint into a business trade-off a stakeholder can act on, and tell a real architectural limit from … thinking - able to see the big picture and make connections across teams and issues. Technical acumen: the ability to translate highly technical engineering constraints (machine learning models, streaming architectures, latency) into clear business trade-offs for non-technical stakeholders. Deep domain fluency in identity and access management, subscription ...

medicine, digital health technologies, and AI-driven clinical innovation. The successful candidate will contribute to cutting-edge research at the intersection of digital pathology, machine learning, and computational biomedical sciences. The role involves developing and applying advanced artificial intelligence methods to digital pathology data, including whole-slide imaging … interdisciplinary research collaboration, particularly with clinical or biomedical partners Ability to contribute to research strategy and funding applications Required Expertise/Skills Expertise in machine learning and artificial intelligence methodologies Strong background in digital pathology, medical imaging, or computational image analysis Proficiency in programming languages such as Python ...

Build strong engineering practices across software development, data platforms, testing, deployment, and operational support. Develop and mentor technical leaders, creating a culture of accountability, learning, and continuous improvement. Champion the adoption of AI-enabled development practices to improve quality and delivery speed. Collaborate with senior stakeholders and enterprise clients … knowledge of cloud technologies, particularly Azure and modern data platforms. Strong understanding of Python, SQL, data architecture, distributed systems, and production environments. Experience delivering machine learning, AI, or advanced analytics solutions into production. Ability to balance strategic leadership with technical involvement in complex projects. Strong stakeholder management skills ...

seeking a Data Scientist to push the boundaries of experience innovation. You will design and deploy fraud and banking analytics, generative AI, and production ML pipelines within an Agile, client-facing environment that values collaboration, learning, and responsible AI practices. The role offers hybrid work options and international opportunities. ...