2,751 to 2,775 of 3,873 Machine Learning Jobs in the UK

tools, techniques, and architectures to evolve our AI offering. Contribute to UX thinking for how AI capabilities are surfaced in the platform. What we're looking for: AI/ML or LLM-based development in a fast-paced start-up environment. Built and deployed production-grade agentic systems Hands-on experience with PydanticAI, LangChain, LangGraph, or similar agent orchestration tools. More ❯

tools, techniques, and architectures to evolve our AI offering. Contribute to UX thinking for how AI capabilities are surfaced in the platform. What we're looking for: AI/ML or LLM-based development in a fast-paced start-up environment. Built and deployed production-grade agentic systems Hands-on experience with PydanticAI, LangChain, LangGraph, or similar agent orchestration tools. More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models More ❯

requirements. Skills & Experience 3+ years of Product Management experience, ideally in deep tech or AI/HPC infrastructure contexts. 2+ years of Engineering experience. Technical fluency in AI/ML frameworks, hardware acceleration - enough to engage meaningfully with R&D and engineering teams. Proven track record of owning product roadmaps from ideation to launch, particularly in early-stage or rapidly More ❯

quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models More ❯

neural representations, semantic scene understanding, SLAM/camera pose estimation, monocular depth estimation, visual place recognition. Strong software engineering skills in C++ and Python, including performance critical CV/ML code on Linux or embedded platforms. Familiarity with GPU or edge AI acceleration (CUDA, TensorRT, Vulkan, or similar). Demonstrated ability to deliver production quality, well tested code in collaborative More ❯

Databricks, with Unity Catalog, and are keen to optimise its use. They're moving away from a monolithic stack, adopting GraphQL for the new digital platforms, which will feature ML-driven content recommendations. You'll take ownership of the data architecture, working closely with our internal IT and DevOps teams, evolving it from its current state to meet our ambitious More ❯

time possible, this is your chance to make history. We are looking for an exceptional Risk Manager to join our BAR team to lead automation solutions from scratch (LLM, ML model-based, Python). Our team supports and optimizes processes across operations sites to minimize defects and improve SX. We build new models and optimization tools that help scale quality More ❯

Domains (Customer Support and Infrastructure/Information Systems). It will cover analysis, monitoring, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter working with the best standard More ❯

Domains (Customer Support and Infrastructure/Information Systems). It will cover analysis, monitoring, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter working with the best standard More ❯

inspire and lead cross-functional teams in a fast-paced, evolving environment. Strong understanding of end-to-end product lifecycle management, from MVP to scale. Familiarity with AI/ML technologies Excellent communication, leadership, and stakeholder management skills. Strong analytical and problem-solving skills, with the ability to make data-informed decisions. Experience conducting market analysis and customer research to More ❯

Domains (Customer Support and Infrastructure/Information Systems). It will cover analysis, monitoring, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter working with the best standard More ❯

and dynamic obstacles in real time. Camera pose estimation, monocular depth estimation, and dense 3D reconstruction both in simulation and on hardware testbeds. Rapid prototyping with a team of ML and robotics engineers, followed by integration into flight processors and edge AI accelerators. What we are looking for PhD in Computer Vision, Robotics, or a related field (or equivalent industry More ❯

preparation for the deployment of digital systems. · You strengthen and enrich your business domain, methods & tools, using your business modelling knowledge in your role Oil and Trading AI/ML Key Accountabilities/Technical capability: Essential: · Agile · Data Analytics · Business Analysis · IT Management · Methods & Tools · Relationship Management · Requirements Definition and Management Desirable: · Business Modelling · Business Process Improvement · Consultancy · Technical Specialism More ❯

knowledge of the top-tier Management Consulting community with demonstrated capability to drive complex sales cycles and transformative deals. Relevant business level technical knowledge (e.g., Cloud, virtualization, AI/ML) with respect to how companies are leveraging these capabilities to drive business outcomes and the challenges they face in achieving them. Experience working within the technology industry. PREFERRED QUALIFICATIONS 10+ More ❯

based control over networked systems. Benefits High competitive salary. 23 calendar days of vacation per year. Flexible working hours. Opportunity to work on the latest technologies in AI/ML, Robotics and others. Startup model, offering a dynamic and innovative work environment. More ❯

of mathematical or geological problems.Experience in seismic processing, fracture modelling, fault seal analysis, kinematic or geological modelling techniques will serve you well in this role, as would exposure to Machine Learning.CI experience including JIRA, Git, Jenkins, Java, Bash, TestRail. What you'll get in return You'll work for a technology focused company building innovative products . There's More ❯

Optimization: Skill in identifying and resolving performance bottlenecks, optimizing system responsiveness, and enhancing user experience. Good to have: Good knowledge on latest trends in technology such as AI and Machine Learning. In Technology Group Ltd is acting as an Employment Agency in relation to this vacancy. More ❯

processes and drive business growth. Experience What You'll Need Your experience is key, but your attitude is what sets you apart. Essential: Expert level knowledge in AI/ML technologies. Proficiency in scripting. Experience with orchestration and deployment. Strategic mindset to align automation with buisness goals. Strong leadership, mentoring and project management skills. Deep understanding of compliance, security, and More ❯

and flexibility; you are hardworking with a real passion for enabling others to succeed. "Nice To Have": Experience in Cybersecurity technology projects (Plus!). Experience in the development of ML/AI applications using state-of-the-art toolchains, i.e. Pytorch, TensorFlow (Plus!). Experience with HW and SW Architecture Modelling. Model-Based System Engineering, ISO 15288, MagicGrid Framework, SysML More ❯

and Raman, multidimensional and sum-frequency generation (SFG). Applying relevant and new approaches to data analysis such as global analysis, principal component analysis (PCA), lifetime density analysis and machine learning. You will work as part of a multi-disciplinary team, including physicists, chemists, materials scientists and engineers. You will interface directly with scientists to gather requirements and collaborate More ❯

and Raman, multidimensional and sum-frequency generation (SFG). Applying relevant and new approaches to data analysis such as global analysis, principal component analysis (PCA), lifetime density analysis and machine learning. You will work as part of a multi-disciplinary team, including physicists, chemists, materials scientists and engineers. You will interface directly with scientists to gather requirements and collaborate More ❯

and Raman, multidimensional and sum-frequency generation (SFG). Applying relevant and new approaches to data analysis such as global analysis, principal component analysis (PCA), lifetime density analysis and machine learning. You will work as part of a multi-disciplinary team, including physicists, chemists, materials scientists and engineers. You will interface directly with scientists to gather requirements and collaborate More ❯

and Raman, multidimensional and sum-frequency generation (SFG). Applying relevant and new approaches to data analysis such as global analysis, principal component analysis (PCA), lifetime density analysis and machine learning. You will work as part of a multi-disciplinary team, including physicists, chemists, materials scientists and engineers. You will interface directly with scientists to gather requirements and collaborate More ❯

fault tolerance in high-stakes environments. Demonstrated ability to work collaboratively across disciplines in a modern software development workflow. Nice to Have Experience working with or integrating AI/ML or LLM systems in production environments. Knowledge of real-time systems , messaging queues, or edge-cloud architectures. Exposure to monitoring, logging, and production observability tooling (e.g., Prometheus, Grafana, Datadog). More ❯