1,176 to 1,200 of 1,735 Machine Learning Jobs in England

most. Interface with autonomous and robotic systems in the field. Contribute to a culture of engineering excellence, working closely with colleagues across AI/ML, networking, and robotics. What we're looking for Strong programming skills in C++, Java, Rust, or Python. A strong computer science, engineering, or technical background ...

engineering team YOUR SKILLS AND EXPERIENCE: You will bring strong capability in: Expertise in Python, SQL, and TypeScript Proven experience building AI/ML systems in production environments Strong understanding of hybrid software + data engineering challenges Experience working at scale with complex datasets or platforms THE BENEFITS: You will ...

most. Interface with autonomous and robotic systems in the field. Contribute to a culture of engineering excellence, working closely with colleagues across AI/ML, networking, and robotics. What we’re looking for: Strong programming skills in C++, Java, Rust, or Python. A strong computer science, engineering, or technical background ...

Product Manager must have: Proven product management experience in SaaS, platforms, or data-driven products. Strong knowledge of data exchange, APIs, AI/ML and how they underpin product development. Analytical, customer-obsessed, and able to simplify complexity into clear product decisions. Comfortable working closely with engineers, data specialists ...

systems that process real-time data from distributed edge devices Lead technical decisions across architecture, tooling, and system design Collaborate with data scientists and ML engineers to deploy models into production Mentor engineers and contribute to engineering best practices Improve observability, monitoring, and incident response processes Write maintainable, well-tested ...

pragmatic, security-aware, collaborative with product and engineering teams, and comfortable keeping infrastructure reliable while enabling teams to move quickly. AI/ML experience is not required, but interest in the platform and reliability challenges behind production AI systems would be helpful. ...

mining business critical data flowing across the CEP and how to present data in usable management report format Experience delivering enterprise‐grade AI/ML‐powered contact centre features such as sentiment analysis, speech‐to‐text, or real‐time agent assist An understanding of emerging contact centre technology and next ...

demonstrate outcomes and refine solutions. Required Experience Strong hands-on experience with Azure AI services, including Azure AI Foundry, Azure AI Search and Azure Machine Learning. Proven experience building AI agents and agentic workflows using Microsoft Copilot, Copilot Studio and Azure AI services Proven track record delivering AI prototypes ...

that incorporate GenAI and LLM platforms such as Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable AI and ML solutions aligned to business goals, integrating them into existing enterprise landscapes, and embed appropriate LLMOps controls, evaluation and Responsible AI Governance. Strategy, operating model ...

feel like a typical year) Background requred: – Degree in a relevant discipline (Maths, Engineering, Computer Science, etc.) – ~4+ years in AI/ML engineering, with strong software engineering foundation – Experience taking agent-based systems into production – Strong understanding of system design: orchestration, memory, deployment, monitoring – Exposure to tools such ...

BDRs, or playbooks. Is effectively a hybrid BDM/AM role. Comfortable selling to and holding conversations with deeply technical buyers (engineering, AI/ML, security teams). Experience navigating enterprise security and compliance procurement (SOC 2, DPAs, MSAs). Startup experience (Seed–Series B) — you thrive in ambiguity ...

experimentation methodology for generative AI, with a focus on correctness, faithfulness, and robustness. Demonstrable experience owning the technical design and delivery of complex AI, ML, or data-driven systems in live production environments. A background operating at senior engineer or technical lead level - comfortable balancing rapid experimentation with disciplined production ...

with investment teams based on feedback and outcomes Qualifications 7–10 years of experience in Financial Services or Product Management Experience applying AI/ML or data‐driven solutions within financial or investment workflows Ability to translate investment problems into AI‐enabled product opportunities Experience leading rapid prototyping and delivering ...

transfer to scale expertise across the Labs. Minimum Qualifications • Experience: 12+ years in enterprise architecture or software engineering, including significant leadership of AI/ML platform initiatives. • Technical Mastery: Hands-on expertise with Microsoft 365 CoPilot, Copilot Studio, Azure OpenAI Service, Cognitive Services, and Graph APIs. • Multi-Vendor Integration: Proven ...

ct.Experience applying iterative development to deliver high-value outcomes in complex domai ns.Exposure to data-driven or analytical systems; experience with AI/ML-related features is beneficial but not requir ed.Familiarity with CI/CD, observability, and operating production syste ms.Understanding of front-office or revenue-generating technology ...

Experience 5+ years of experience building and leading partnerships in the Data & AI ecosystem with cloud and ISV partners. Strong understanding of AI/ML, cloud, and data companies, products, and use cases. Proven experience leading partnerships with NVIDIA and at least one of Microsoft Azure, Amazon Web Services ...

story‐telling and writing skills. Expertise in GTM strategy, segmentation, ICP development, positioning and value messaging. Experience partnering with technical, engineering or AI/ML teams to commercialise complex technology. Strong analytical skills and comfort working with ARR, pipeline, buying signals and performance dashboards. Strong command of verticalised GTM models ...

e.g., financial services). Experience in modern software engineering practices and languages (Python, Go). Experience building or enabling platforms that support AI/ML workloads. Experience enabling AI‐augmented engineering teams, embedding AI‐assisted tooling into the development lifecycle. What You’ll Get in Return The opportunity to shape ...

story‐telling and writing skills Expertise in GTM strategy, segmentation, ICP development, positioning, and value messaging Experience partnering with technical, engineering or AI/ML teams to commercialise complex technology Strong analytical skills and comfort working with ARR, pipeline, buying signals and performance dashboards Strong command of verticalised GTM models ...

relentless focus on achieving results. It would be great if you had * Knowledge experience and in-depth understanding of tools like AI/ML, Digital Twins, etc as well as an appreciation of emerging technologies * A good working knowledge of the technology landscape of the Energy Sector * The experience ...

story-telling and writing skills* Expertise in GTM strategy, segmentation, ICP development, positioning, and value messaging* Experience partnering with technical, engineering or AI/ML teams to commercialise complex technology* Strong analytical skills and comfort working with ARR, pipeline, buying signals and performance dashboards* Strong command of verticalised GTM models ...

advantageous. Ability to define governance artefacts such as business glossaries, data dictionaries, ownership models, lineage views, and data quality metrics. Knowledge of AI/ML concepts and enterprise adoption considerations. Experience driving data literacy or data culture programs. Familiarity with the regulatory, privacy, and risk requirements impacting data usage. Excellent ...

Aerospace, Automotive, or Off-Highway sectors. Proficiency with Linux and real-time software development in C/C++, Java, or Python. Experience in robotics, machine control systems, and automation. Familiarity with ROS (Robotic Operating System), Machine Learning, and OpenCV is advantageous. Experience with software testing, including ...

company, and on our clients and business partners around the world. Job responsibilities Drives the direction of a greenfield AI/ML-centric fraud risk product Defines product strategy, requirements, roadmap and prioritisation Delivers product capabilities that deliver both reactive fraud detection and proactive fraud prevention through AI/ML … building something new. Things change quickly. We need you to learn technologies and patterns quickly. Preferred qualifications, capabilities and skills Experience building data, machine learning or model platforms Experience working with agentic workflows, prompt engineering and LLMs to solve real-world problems Experience working in a highly regulated ...

client pitch contribution, client hosting at events. Internal contribution - Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development - Training to support your career development and the skills demand within the company, certifications etc. You will join a rapidly growing team … concepts and tools. Technology & Consulting Experience Strategic Leadership in Data, Analytics & AI Architecture: Proven experience shaping end-to-end solutions that enable AI/ML workloads and drive optimisation through Automation. Strong Industry Expertise: 10+ years in data technologies and architecture, with strong consulting experience. Cloud Data Platforms: 6+ years ...