1,476 to 1,500 of 1,513 Machine Learning Jobs

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Worcester (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

.NET Developer - Europe's Largest Radio Station Group - Brighton (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

.NET Developer - Europe's Largest Radio Station Group - Cheshunt (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

.NET Developer - Europe's Largest Radio Station Group - Salisbury (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML Living ...

Company Overview Model ML is the AI workflow builder transforming how major financial institutions produce and validate client-ready work. Model ML converts complex, manual processes into fully automated AI systems that scale across global teams. In under a year, Model ML has become one of the fastest growing enterprise … company-level leverage role. You will work directly with the founders to build the systems, operating rhythms, and information infrastructure that allow Model ML to scale without losing speed, clarity, or execution quality. Your job is not to manage projects. Your job is to ensure the company sees clearly ...

translating technical concepts into business value Comfort discussing AI capabilities, limitations, and competitive differentiators Experience selling technical or data-driven products (AI/ML strongly preferred) Operational Excellence Mastery of sales metrics, pipeline management, and forecasting discipline Experience implementing sales methodologies (MEDDIC, Challenger, etc.) Strong analytical skills—you use data … Visibility - Direct impact on company strategy; this product line is a strategic priority for Eightfold leadership Learn From AI Experts - Work alongside data scientists, ML engineers, and AI researchers pushing the boundaries of what's possible Why Join Eightfold? Be part of the AI revolution - Lead a team selling technology ...

Data-Driven Ontology (knowledge graph for skills and occupations) Define and execute the R&D strategy, including prioritization of initiatives and evaluation of ML models vs. external AI/LLM solutions Translate complex technical topics into clear insights for non-technical stakeholders and executives Ensure high-quality delivery by balancing … 5+ years of experience leading cross-functional Engineering teams Hands-on experience with cloud infrastructure (ideally AWS) and a solid understanding of AI/ML-driven products Good understanding of the labour and recruitment market, regulation and environment in the DACH region Strong ability to prioritize tasks, manage multiple projects ...

Deep hands-on expertise in Java/Spring Boot, Oracle/SQL, and Kafka required with the ability to evaluate and adopt AI/ML capabilities. What You'll Do Lead design and implementation of high-throughput distributed systems using Java and Spring Boot Own end-to-end technical architecture … network, customer/agent facing apps) Architect event-driven systems using Apache Kafka for real-time streaming and integration Evaluate and integrate AI/ML tools into engineering workflows and developer productivity Establish engineering standards, lead design reviews, and mentor senior engineers Partner with product and architecture teams to translate ...

external services. Mentor and guide mobile engineers across teams, fostering technical excellence, code quality, and knowledge sharing. Safely integrate and operate AI/ML-enabled solutions that improve mobile user experiences and business outcomes. Collaborate with product, design, and engineering stakeholders to deliver innovative mobile features and drive technical strategy … technical direction for multi-service, cross-domain, or organisational mobile initiatives. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Strong proficiency in Kotlin Advanced proficiency with Jetpack components/Jetpack Compose, Android UI/UX best practices ...

goals and technical strategy. Champion best practices in software engineering, testability, and maintainability through code reviews and mentoring. Safely integrate and operate AI/ML‐enabled solutions to enhance user experience and improve operational outcomes. Troubleshoot, optimise, and resolve complex technical issues, contributing to the continuous improvement of services … frameworks, with a strong understanding of system and API design principles. Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products. Preferred Qualifications: Experience architecting scalable, complex, modular, and maintainable iOS mobile architectures, leveraging common design patterns such as MVVM or VIPER ...

buzzword here - it's part of how the team works day to day, from rapid prototyping with generative AI to ML models powering core pricing and personalisati on. What you'll br ing:A strong B2C product track record, ideally in growth and/or engage mentHands-on experience running … skin of user behaviour and motiva tionAnalytical rigour and a habit of breaking complex problems into testable solut ionsComfort working alongside data science and ML teams to turn models into customer-facing pro ductStrong leadership and stakeholder skills across cross-functional t eams If you're excited by the chance ...

Data & AI division, you will work closely with a diverse portfolio of venture-backed companies that are leveraging cutting-edge AI/ML technologies to solve real-world problems. From early-stage disruptors to rapidly scaling startups, you’ll play a critical role in building world-class technical teams. This … candidates from leading AI research labs and companies Typical Roles You’ll Recruit For Research Engineers Research Scientists MLOps Engineers Data Scientists AI/ML Engineers What We’re Looking For Proven experience in recruiting for Data, AI, or highly technical domains Strong track record of placing senior and niche ...

with engineering and data science teams to embed quality standards across the product lifecycle Review and approve documentation related to: Software development AI/ML model validation Data governance and integrity Ensure traceability, validation, and documentation are audit-ready Risk Management Conduct and support risk assessments (e.g. FMEA, risk logs … Excellent organisational skills with high attention to detail Ability to work effectively in a cross-functional, matrixed environment Desirable Experience working with AI/ML systems, digital health platforms, or software products Familiarity with: Software development lifecycle (SDLC) Validation practices for digital or AI-based products Experience in high-growth ...

FPGA Engineer - National Security Business Be part of a growing and highly trusted supplier into the NS domain working to deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Working on ...

Head of Data Consulting | £125k | Build a Standalone Data Practice | Bristol G.Digital has exclusively partnered with a world-class technology consultancy as they establish a brand-new Data Practice. Known for delivering bespoke software, data ...

TwinThread is looking for a Product Director to lead the development of an AI/ML-centric fraud risk product. This role involves defining product strategy, delivering capabilities for fraud detection and prevention, and building strong relationships with clients. Candidates should have extensive product management experience with a focus ...

across multiple client engagements • Translating complex AI concepts into clear, practical direction for business and technical audiences • Architecting and delivering production-grade AI solutions (ML + newer generative/agent-based approaches) • Acting as a trusted advisor in shaping AI roadmaps, solution design, and delivery approaches What matters for this … role: • Strong experience taking AI/ML solutions into production environments • Solid engineering foundations (Python and modern data/ML ecosystems) • Familiarity with cloud-based AI platforms and scalable data systems • Experience with deployment practices (automation, monitoring, reliability, etc.) • Ability to operate in ambiguity and guide decision-making with structure ...

looking for exceptionally talented engineers and researchers to join us on this epic quest Responsibilities Write SOTA GPU kernels Own complex production ML/AI systems end-to-end Understand how kernel-level gains translate to wall-clock improvements in production. Build the infrastructure that lets LLM agents iterate unsupervised … Stanley, Jeff Clune, Jurgen Schmidhuber, David Ha, and Christian Szegedy Bonus Open-source kernel contributions (FlashAttention, FlashInfer, vLLM, Unsloth, Liger-Kernels, ThunderKittens) Publications in ML/AI, kernel optimisation or evolutionary methods (NeurIPS, ICLR, CVPR, GECCO or equivalent) Other HW experience (AMD, MLX, edge HW) Familiarity with TileLang, Helion, CuTile ...

first and only platform purpose-built for the AI control problem regulated enterprises now face. Practical experience: Worked in or around AI/ML teams in a delivery or assurance capacity. You may not have been necessarily a builder, but someone who has been close enough to data pipelines, model … deployment, and API layers to understand what "done" looks like. A background in technology risk, ML engineering, or technical consulting with AI exposure all work. Three to five years. You'll have seen enough real AI estates to recognise what Gap and Weak actually look like in practice, because ...

Series A/B speed while raising the bar on quality. You’ll run full-cycle recruiting across technical and GTM roles, including ML, computer vision, and applied engineering teams shipping YOLO into production. You’ll partner tightly with founders and hiring managers to translate headcount plans into measurable pipelines … market data and internal consistency. Sourcing & pipeline development Lead proactive sourcing using LinkedIn Recruiter, Boolean search, GitHub, and community signals. Build repeatable pipelines for ML/AI, computer vision, and core engineering roles tied to our docs ecosystem. Develop talent maps for priority markets (UK/Spain/China ...

grade code, conduct code reviews, and guide the transition from concept to scalable solution. Capability Building: Mentor participants, energise the AI Guild, and curate learning resources to strengthen skills and foster a culture of responsible experimentation. Stakeholder Engagement: Partner with product, data, and technology teams to align initiatives with … Impact: Track and communicate outcomes, insights, and recommendations to senior stakeholders, informing roadmap decisions and future investment. About You Proven experience in AI/ML engineering, software development, and technical leadership. Strong understanding of modern AI techniques (LLMs, agentic systems, orchestration frameworks). Ability to write production-grade code ...

influence over technical direction from day one and work directly with experienced second-time founders. Core skills and experience required Strong background in reinforcement learning Hands-on post-training experience: RLHF etc Experience designing or building RL environments grounded in real-world workflows Distributed training at scale Python … tier AI lab or company A blend of theoretical depth mixed with the ability to ship production systems Publications at top ML conferences, nice to have If you have worked on RL at a top lab or have production RL experience and want to push beyond the current RL paradigms ...

influence over technical direction from day one and work directly with experienced second-time founders. Core skills and experience required Strong background in reinforcement learning Hands-on post-training experience: RLHF, GRPO etc Experience designing or building RL environments grounded in real-world workflows Distributed training at scale Python … tier AI lab or company A blend of theoretical depth mixed with the ability to ship production systems Publications at top ML conferences, nice to have If you have worked on RL at a top lab or have production RL experience and want to push beyond the current RL paradigms ...

strategy and product delivery for LEGO Digital Play’s ecosystem while aligning our product innovations with the core LEGO values of Imagination, Creativity, Fun, Learning, Caring and Quality./p h3 Key Responsibilities/h3 ul li Lead product innovation across creator tools, platform services, programmability systems … Proven success launching and scaling consumer platforms with programmable environments and/or social mechanics./li li Deep understanding of AI/ML applications in gaming, including generative AI, personalization systems, intelligent agents and content moderation./li li Familiarity with scripting languages, sandbox environments, developer platforms or embedded ...

Thriving Technical Consultancy seeks an accomplished Head of Software to lead a multidisciplinary Software department. Working across Embedded Software, DSP, FPGA and AI/ML you'll be supporting technologies such as radar, sensing and communications for a range of Client projects primarily in the Defence sector. You’ll bring … academic background. Technical Leadership experience ideally within a Consultancy type environment. Strong technical knowledge covering embedded software, DSP, FPGA firmware, test and AI/ML with expertise in at least one area. Proven Line Management experience and excellent communication skills. Good balance of technical and Business/Commercial skills. ...