3,976 to 4,000 of 5,748 Machine Learning Jobs in the UK

Strong publication track record in top conferences is expected. The candidate will work within a team of applied researchers and engineers solving real-world ML problems, contributing to production-grade AI research efforts. #J-18808-Ljbffr ...

Technical Architect to own end-to-end architecture for a large-scale wealth management platform. You will work across UI, APIs, data, AI/ML, AWS, Kubernetes, and security, balancing performance, cost, and risk while closely guiding engineering teams. The role demands hands-on leadership, deep technical depth, and clear ...

Time Analysts to join the Data & AI Program in London (and Glasgow). You will build end-to-end data, analytics, and AI/ML solutions that translate business objectives into measurable outcomes for clients. Work with global experts to design scalable data platforms, develop production-ready models and dashboards ...

Vendor to Watch’ by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities: Must have Snowflake &/Snowflake ML experience. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would be advantageous. To manage the build of nominated …/resolution. Role/Skills of the Snowflake Data Engineer for Programme Migrations Ideally competent to build data models/data pipelines with Snowflake ML, with input from the respective Data Scientists. Be able to leverage Snowflake frameworks & workflows to construct scalable models. Work collaboratively with the Data Scientists ...

founders, backend and mobile engineers, and the operations team. Many of Aurora’s most important features live at the intersection of product judgment, ML systems, and agent orchestration - this role owns that intersection. This is a high‐ownership role. You will take ambiguous ideas, turn them into concrete systems, ship … balancing customer needs, technical constraints, and delivery speed Design and implement AI-powered workflows using LLMs, tools, and agentic systems Build and iterate on ML-driven features, including classification, ranking, extraction, and decision support Design agent flows that combine automation with human‐in‐the‐loop escalation Work closely with ...

Jobtailor is seeking a graduate AI/ML Engineer to support development, testing, and integration of AI-driven solutions in a dynamic team in the UK. You will work on data retrieval pipelines, model training, evaluation, and deployment under guidance, collaborating with cross-functional partners. The role emphasizes Python-based ...

Fosse, a SportsTech leader, is hiring a Senior MLOps Engineer to scale AI across live events. You will deploy ML models at edge scale, collaborating with engineering, product and leadership to deliver high-impact, production-grade AI solutions for athletes and fans. Strong Python/C++ skills plus Edge, Kubernetes ...

month fixed-term contract with hybrid work (onsite 2 days per week). The role requires strong Snowflake experience, including Snowflake ML, plus PySpark and SQL skills. DBT experience is advantageous as you build and migrate data pipelines for programme use cases from Pre-Prod to Prod. You will collaborate ...

scalable solutions that directly impact customer outcomes. Full-Stack Development – Utilize React, TypeScript, Node.js, and Python to develop robust applications and tools. AI/ML Applications – Design, implement, and iterate on AI/ML solutions, including LLM prompting, tuning of voices, and transcribers to optimize use cases. Integration & APIs – Manage ...

leadership, guiding teams from proof of concept to secure, production-grade deployments in highly regulated environments. The ideal candidate will blend deep AI/ML expertise (LLMs, Generative AI, cloud platforms) with strong stakeholder engagement, governance, and risk management to shape technical roadmaps and #J-18808-Ljbffr ...

Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities: Must have Snowflake &/Snowflake ML experience. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would be advantageous. To manage the build of nominated …/resolution. Role/Skills of the Snowflake Data Engineer for Programme Migrations Ideally competent to build data models/data pipelines with Snowflake ML, with input from the respective Data Scientists. Be able to leverage Snowflake frameworks & workflows to construct scalable models. Work collaboratively with the Data Scientists ...

focused six-month engagement to set the architecture that turns a firehose of scientific literature and robotic lab data into a clean, governed, ML-ready ecosystem that our scientists and AI models can build on. You'll define the blueprint and stand up the foundations during the engagement, working closely … with our ML and data engineering teams so they can carry it forward. We're looking for someone senior enough to make the right calls quickly and pragmatic enough to deliver real systems in the time allocated. Scope of the Engagement Over six months you'll own how data flows ...

Engineer to join their small, high-velocity teams. This role involves creating, testing, and implementing AI models while engaging in data analysis and machine learning. The ideal candidate has a Bachelor's or Master's degree in STEM and familiarity with programming languages like Python, JavaScript, or Ruby. ...

staffing models, manage projects that attribute to the department’s Key Objectives, and partner with Tech for the implementation of new AI/ML projects to automate manual activities. You will be required to interact with Finance, HR, IT production and development teams, AI team, and various Operations teams within … deliverable updates for assigned stakeholders Identify opportunities for strategic improvement or mitigation of business interruption and other risks through the use of AI and ML tools Oversee project management activities and prepared monthly project status reports. Required qualifications, capabilities, and skills Experience in Business Management or Finance with an Operations ...

President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team. You will tackle technically complex business problems using AI/ML techniques, driving innovative solutions that enhance decision-making processes. The ideal candidate holds an advanced degree in a quantitative field and has hands-on experience ...

Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal Role/Responsibilities : Must have Snowflake &/Snowflake ML experience - this is mandatory for this Fractal Engineer role. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would …/resolution. Role/Skills of the Snowflake Data Engineer for Programme Migrations Ideally competent to build data models/data pipelines with Snowflake ML, with input from the respective Data Scientists. Be able to leverage Snowflake frameworks & workflows to construct scalable models. Work collaboratively with the Data Scientists ...

create genuine efficiencies, improve decision-making and develop practical solutions for investment professionals. The role sits at the intersection of investment expertise, AI/ML and data , with significant scope to shape the firm's approach to AI from the ground up. The Role You will act as a central … expected. Exposure to strategies such as convertible bond arbitrage, distressed credit or volatility would be beneficial. Hands-on experience with AI/ML and data engineering . Exceptional numeracy and data analysis skills. Experience building or working with custom GPTs, AI skills and connectors . The ability to translate ...

sales experience. Strong UK market network, preferably with mid-market and enterprise accounts . Experience selling IT services, digital transformation, software engineering, AI/ML, data or QE services . Strong understanding of consultative selling and solution-led sales . Ability to engage CIOs, CTOs, CDOs, Heads of Engineering, Digital ...

Vendor to Watch' by Gartner. Please visit Fractal | Intelligence for Imagination for more information about Fractal. Role/Responsibilities Must have Snowflake & Snowflake ML experience – this is mandatory for this Fractal Engineer role. Fractal Data Engineer roles required with the necessary Snowflake experience. Data Build Tool (DBT) experience would …/resolution. Role/Skills of the Snowflake Data Engineer for Programme Migrations Ideally competent to build data models/data pipelines with Snowflake ML, with input from the respective Data Scientists. Be able to leverage Snowflake frameworks & workflows to construct scalable models. Work collaboratively with the Data Scientists ...

communicator and stakeholder manager, comfortable influencing senior technical and business leaders without direct authority. Familiarity with AI‐driven tools or workflows, applying AI/ML concepts to improve configuration data quality, incident response, or change management outcomes. Preferred Qualifications Experience operating an enterprise‐scale xMDB/AMDB supporting complex, distributed … xMDB data and analytics to drive decisions related to service health, risk management, change impact, and operational resilience, including leveraging AI/ML‐enabled insights where appropriate. Experience leading xMDB‐related design reviews and making low‐level design decisions for APIs, data models, integrations, and workflows used across multiple domains ...

application Contribute to theFinance Tech Design Authorityand supportPermit to Design/Permit to Buildgovernance processes Assist in identifying and evaluating opportunities to embed AI, ML, and GenAI within Finance processes, supporting appropriate governance frameworks Contribute to capability mapping, maturity assessments, and the centralised architecture knowledge repository Support continuous improvement … senior management level Methodical, detail-oriented, with familiarity with modern enterprise information architecture practices AI Domain Knowledge:Working understanding of AI/ML, GenAI, and agentic automation and their relevance to Finance use cases AI Personal Productivity:Ability to use AI tools effectively, including prompt engineering and critical evaluation ...

potential conduct issues. Drive the strategic roadmap for E-Trading risk analytics, developing KRIs, real-time monitoring, and reporting tools, leveraging AI/ML and automation. Identify emerging E-Trading risks from AI, ML, and cloud-based execution platforms, factoring them into policy. Qualifications Exceptional written and verbal communication, distilling ...

Meta's growth, driving significant step changes in a a domain operating at significant scale. We are seeking an experienced and mathematically skilled Machine Learning Engineer to join our Experimentation team. This is a leadership hire focused on solving high-impact business challenges in experimentation. You will advance … significantly reduce uncertainty in our experimentation. This role offers an opportunity to solve open and challenging problems and deliver a step change in ML Experimentation. Mathematical and statistical background, including probability and statistical theory, including probability and statistical theory Experience with Python programming Experience with data analysis across large datasets ...

Finance Tech Design Authority and support Permit to Design/Permit to Build governance processes Assist in identifying and evaluating opportunities to embed AI, ML, and GenAI within Finance processes, supporting appropriate governance frameworks Contribute to capability mapping, maturity assessments, and the centralised architecture knowledge repository Support continuous improvement … senior management level Methodical, detail-oriented, with familiarity with modern enterprise information architecture practices AI Domain Knowledge: Working understanding of AI/ML, GenAI, and agentic automation and their relevance to Finance use cases AI Personal Productivity: Ability to use AI tools effectively, including prompt engineering and critical evaluation ...

experience, ideally Azure Strong SQL and Python knowledge Understanding of data governance, security, privacy and data quality Experience supporting data requirements for AI/ML applications Comfortable working hands-on with engineers and making pragmatic architectural decisions If youre an experienced Data Architect interested in working at the intersection ...