5,176 to 5,200 of 6,613 Machine Learning Jobs in the UK

ability to interpret and respond to technical claims and logics put forward by tech industry actors. You may have direct experience in areas like machine learning, data science or computation, but it’s not a requirement. A well-connected perspective , with networks across the tech industry, research communities … . Family leave policies that provide an enhanced level of pay. Cycle to work scheme and loans towards season tickets.Regular opportunities for learning and development – including coaching, mentoring, and dedicated reading weeks to recharge and reflect. Support with your physical, mental and financial wellbeing including an employee assistance provider ...

team player Nice to have: experience with Microsoft SQL Server, Amazon Redshift, and/or Amazon Athena, predictive analytics, statistical modelling, or machine learning Условия Competitive salary and benefits Investment in continued professional development International team collaboration with colleagues from around the world #J-18808-Ljbffr ...

matter. Your ImpactProtecting RAF aircraft like Typhoon and ApacheAdvancing next-gen air combat with Team Tempest and GCAPDeveloping future electronic warfare systemsHarnessing AI/ML to unlock intelligence from vast dataWhat you'll bringSystems Engineering (e.g. problem definition, architecture, MBSE, integration, verification & validation)Domain Expertise (e.g. digital signal processing … systems, AI/ML, multi-sensor fusion, electronic warfare)Collaboration with specialists in safety, security, and reliability to deliver robust solutionsWhat you'll doDefining and developing system requirementsLeading concept studies and system trade-offsPrototyping new technologiesSolving integration challenges and testing solutionsWorking with industry partners and sharing knowledgeSecurity ClearanceThis role ...

aircraft like Typhoon and Apache Advancing next-gen air combat with Team Tempest and GCAP Developing future electronic warfare systems Harnessing AI/ML to unlock intelligence from vast data What you'll bring Systems Engineering (e.g. problem definition, architecture, MBSE, integration, verification & validation) Domain Expertise (e.g. digital signal processing … systems, AI/ML, multi-sensor fusion, electronic warfare) Collaboration with specialists in safety, security, and reliability to deliver robust solutions What you'll do Defining and developing system requirements Leading concept studies and system trade-offs Prototyping new technologies Solving integration challenges and testing solutions Working with industry partners ...

Support (EOS) Upgrades Security Appliance Administration Threat Detection Technologies Desirable Splunk Microsoft Sentinel QRadar Elastic LogRhythm ArcSight Wazuh SOAR Platforms AI/Machine Learning Security Automation Proxy Administration Network Packet Capture Technologies EDR/XDR Platforms Contract Details Up to £92 per hour (Inside IR35) 24 Month Contract ...

aircraft like Typhoon and Apache* Advancing next-gen air combat with Team Tempest and GCAP* Developing future electronic warfare systems* Harnessing AI/ML to unlock intelligence from vast data**What you'll bring*** Systems Engineering (e.g. problem definition, architecture, MBSE, integration, verification & validation)* Domain Expertise (e.g. digital signal processing … systems, AI/ML, multi-sensor fusion, electronic warfare)* Collaboration with specialists in safety, security, and reliability to deliver robust solutions**What you’ll do*** Defining and developing system requirements* Leading concept studies and system trade-offs* Prototyping new technologies* Solving integration challenges and testing solutions* Working with industry partners ...

What does the role lead to? Head of Customer Success, account management, delivery leadership or clinical product roles. Product Manager Software Engineer AI/Machine Learning Engineer Data Scientist Healthcare Data Analyst Account Executive Typical Customer Success Manager pay in the United Kingdom: £55,000 to £72,000. ...

technical and non-technical stakeholders. Good understanding of GDPR and responsible use of customer data. Experience with Python/R, predictive analytics or machine learning would be beneficial but isn't essential. If you are interested in this opportunity and would like to hear more, please apply with ...

engineering; High proficiency in Python; Experience building and debugging research tools, data workflows, or software systems; A rigorous approach to evaluating quantitative, statistical, or machine-learning systems; Experience with enterprise production requirements, including integrations, reliability, observability, security, privacy, data governance, performance, and cost; Ability to connect technical decisions ...

standards of governance, quality, usability and operational performance. This is a leadership role requiring strong delivery expertise, people leadership and a passion for continuous learning and innovation. What will you do in this role? Lead the Insights Delivery Function Lead and develop a high-performing team of Insights … Power Platform technologies including Power Apps and Power Automate. Understanding of Microsoft Copilot Studio and emerging AI-enabled business solutions. Familiarity with analytics, machine learning and data product concepts. Understanding of modern data architectures and cloud-based analytics platforms. Leadership Capabilities Exceptional people leadership and coaching skills. Ability ...

Engineer, you will support cutting‐edge GPU and CPU platforms — including the latest NVIDIA architectures — powering dense, large‐scale compute environments used for AI, machine learning, and next‐generation workloads. This is an opportunity to build expertise at the forefront of modern infrastructure, where reliability, scale, and performance … regular feedback: we value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and a growth mindset makes us better together. Learning Time: we all have dedicated learning time to focus on new skills, projects or interests that lay outside of your ...

every candidate finding before it ships. Reverse-engineer novel vulnerability classes and translate them into repeatable, automatable test logic. Partner with the AI/ML team to improve the agents’ hypothesis-generation and attack-chaining reasoning. Triage and reproduce edge cases reported by customers and the validation pipeline. Publish internal … track record Experience with LLM/agentic-AI attack surfaces Competitive salary plus meaningful early equity, full health coverage, a $2,000/yr learning budget, and your choice of hardware. #J-18808-Ljbffr ...

Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams on the ground to embed solutions directly into operations. Guide multi‐disciplinary teams ...

optimisation and adoption within a trust; supplier posts shape product configuration, safety evidence and deployment across many customers. Product Manager Software Engineer AI/Machine Learning Engineer Data Scientist Healthcare Data Analyst Account Executive Typical Clinical Informatics Specialist pay in the United Kingdom: £55,000 to £72,000. ...

Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams on the ground to embed solutions directly into operations. Guide multi‐disciplinary teams ...

Engineering team, the successful candidate is require to lead the design and governance of scalable, secure, and trusted data architectures that support reporting, analytics, machine learning, and AI-driven solutions across the organisation. Key Tasks & Responsibilities will include: Design and govern enterprise, logical, and physical data models. Define ...

Role Identify high‐impact opportunities to apply AI, data science, advanced analytics, and digital tooling. Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools. Work closely with client teams on the ground to embed solutions directly into operations. Guide multi‐disciplinary teams ...

AKQA in new business opportunities, articulating the value of design in solving complex business and human challenges. Contribute to AKQA’s global culture of learning, sharing insights on design ethics, AI co‐creation, and emerging interaction paradigms. QUALITIES AND CHARACTERISTICS 10+ years’ experience (as a guide, not a restriction … centred design, accessibility, motion, and micro‐interaction principles. Familiarity with AI design tools, prototyping in Framer, Principle, ProtoPie, or After Effects, and collaboration with machine‐learning or data‐science teams. Demonstrable success in uniting brand and product through interface design, e.g. motion language, sound design, or spatial storytelling. ...

develop models, make assumptions explicit, and communicate results clearly. Publication record in reputable peer-reviewed journals. Desirable Skills Familiarity with cheminformatics. Experience with machine-learned potentials, DFT-informed machine learning, or surrogate modeling. Knowledge of carbon capture, porous materials, membranes, electrochemistry, or oilfield chemical systems. Experience with ...

competitor fund, market-maker or proprietary trading firm only. Advanced degree in a highly scientific, quantitative or computational discipline (examples include STEM and Machine Learning). Exceptional research track record demonstrating innovation in your field including strong publication records/best paper awards. Capable across topics in statistical ...

embed risk insights into day-to-day decision-making Lead a team, and expand your expertise by elevating static reporting and leveraging AI, machine learning, and automation to predict emerging risks and automate risk intelligence reporting What you'll do As a Business Risk Insights Lead ...

embed risk insights into day-to-day decision-making Lead a team, and expand your expertise by elevating static reporting and leveraging AI, machine learning, and automation to predict emerging risks and automate risk intelligence reporting What you'll do As a Business Risk Insights Lead ...

building complex indices that drive positive change in the world. We are building a cutting-edge research team: We use the latest techniques in machine learning to build faster and better data collection and analysis tools. World-class backing: We've been backed by some of the world … year vesting period. Holidays: 28 days of holiday + public bank holidays Flexible working: minimum 3 days per week in our Central London office Learning & development budget: £1000/year Pension & Private Health Insurance Our commitments to diversity and inclusion Evident is committed to encouraging equality, diversity and inclusion ...

AKQA in new business opportunities, articulating the value of design in solving complex business and human challenges. Contribute to AKQA's global culture of learning, sharing insights on design ethics, AI co-creation, and emerging interaction paradigms. QUALITIES AND CHARACTERISTICS 10+ years experience (as a guide, not a restriction … centred design, accessibility, motion, and micro-interaction principles. Familiarity with AI design tools, prototyping in Framer, Principle, ProtoPie, or After Effects, and collaboration with machine-learning or data-science teams. Demonstrable success in uniting brand and product through interface design, e.g. motion language, sound design, or spatial storytelling. ...

literate firm in private markets. About the Team You will lead EQT's Applied AI function, a multidisciplinary team of applied AI engineers, ML engineers, and full-stack builders shipping high-impact generative AI products across Client, Investment Teams, and Fund/Group. The team consumes Tech Foundations' shared … curiosity about where AI creates genuine value in PE. What you'll bring (must-have):Leadership & Credibility: At least 10 years in software or ML/AI engineering, with 3–5 years in a leadership capacity managing teams or strategic delivery in applied AI, ML product, or AI platform environments. ...