901 to 925 of 1,276 Machine Learning Jobs in England

Engineering The company is actively exploring how AI can improve engineering productivity, quality and workflow. They are not looking for an AI specialist or machine learning engineer. They are looking for someone who is already using, or genuinely interested in using, tools such as GitHub Copilot, Claude Code ...

technology market A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify? Signify ...

/EU technology market A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify ...

within a recruitment environment A track record of consistent billing within a recruitment setting Experience developing and managing hiring partnerships within Software Engineering, Data, Machine Learning or AI markets Strong commercial awareness and ability to sell hiring solutions Ability to operate within a high-performance environment Why Signify ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around ...

efficiently, and increase long-term growth, customer loyalty and profitability. Our customers include hotels, attractions and tourism boards, and they use the power of machine learning, data science and real-time traveler data in Sojern’s products to build direct relationships with travelers across social, mobile ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

Antenna Materials Power Semiconductor Devices – including GaN and SiC Materials 5. Emerging & Priority Fields Biomedicine: Cell Therapy, Molecular Immunology, Biopharmaceuticals, Drug Development Artificial Intelligence: Machine Learning, Computer Vision, Intelligent Manufacturing Sustainability: Carbon Neutrality, Environmental Engineering, Green Resources 6. Key Responsibilities Conduct independent and/or collaborative scientific research ...

impact of changes, ensuring the best outcomes for our customers and end-users What we would like to see from you Proficiency in Machine Learning Experience in Computer Vision Organised and driven Excellent communication with both technical and non-technical audiences Enjoys collaborating with cross-functional teams Python ...

Description Senior Computer Vision, ML Engineer PhD in CV/AI/Robotics 3D Vision & Multi-Camera Systems Oxford - hybrid working c£110-150k DoE + Equity Were seeking a Senior Computer Vision Engineer to work on novel perception technology at the intersection of research and deployment. You will ...

candidate will build predictive models, enhance ingredient understanding, and collaborate with product developers. A degree in a relevant field and experience with AI/ML tools are essential. This role supports pladis's commitment to sustainability and innovation in product development, contributing to its goal of bringing happiness to consumers ...

models are compliant and reliable. With a focus on continuous innovation and effective stakeholder engagement, this role requires a strong background in AI/ML product development and proven communication skills. Join us in shaping the future of financial services with cutting-edge technology and expertise. #J-18808-Ljbffr ...

LLMs, orchestration, tooling, etc.) Proven experience developing AI solutions for finance or accounting teams (e.g. automation, reporting, workflows) Track record of delivering AI/ML systems into production Comfortable working in a fast-paced, product-driven environment Details: Outside IR35 Hybrid (Central London) Competitive day rate ...

knowledge Understanding of IBP master data, planning operators, and forecasting methods Strong communication and stakeholder skills Desirable: SAP IBP certification Experience with ML/AI forecasting integration Python, R, or external forecasting tools ...

Opportunity to build a niche vertical within data or AI • Work closely with senior engineers and CTOs The role: • Recruiting Data Engineers, ML Engineers and Platform Specialists • Mapping talent across high-growth tech companies • Managing full recruitment lifecycle from sourcing to placement • Building long-term relationships with technical hiring managers ...

scratch Comfortable working in fast-paced, evolving environments Interested in startup or high-growth settings Collaborative, pragmatic, and user-focused Interest in AI/ML is a bonus Additional Information London-based role with primarily in-office working Competitive salary Relocation support available for candidates moving to London from within ...

Java • Python They are open to anyone who has worked within the above languages. Any exposure to a full-stack setting or AI/ML is desirable. You’ll be joining a team that cares about clean code, strong architecture and building systems properly , not just shipping things quickly. Flexibility ...

design and attribution Hands on experience with mult touch attribution Background in digital analytics, MarTech, performance marketing, optimisation or measurement Some exposure to AI, ML or automation in a marketing or commercial context Bias for shipping, not just discovery decks Nice to have AI workflow tooling or prompt engineering ...

this opportunity (B2C/D2C) - Someone who thrives in a scalup and fast paced business and understands what makes money in Product - AI/ML knowledgeable and understands how customers react and use these tools in Ecommerce - Proven track record shipping mobile app features with measurable retention or LTV impact ...

turning requirements into high-level and detailed solution architectures. Architect end-to-end data and AI platforms (ingestion, lakehouse/warehouse, semantic models, analytics, ML/AI integration). Produce roadmaps and design artefacts, guide delivery teams, and support key technical decisions. Support pre-sales, PoCs, and executive presentations ...

design Senior-level experience as a Data Architect, Principal Engineer or Lead Consultant Strong understanding of modern data platforms (lakehouse, streaming, analytics, AI/ML enablement) Confident communicator, comfortable engaging senior stakeholders and guiding buying decisions A solutions mindset - hands-on enough to be credible, strategic enough to lead What ...

design Senior-level experience as a Data Architect, Principal Engineer or Lead Consultant Strong understanding of modern data platforms (lakehouse, streaming, analytics, AI/ML enablement) Confident communicator, comfortable engaging senior stakeholders and guiding buying decisions A solutions mindset - hands-on enough to be credible, strategic enough to lead What ...

full enterprise sales cycles, from early value‐led conversations through to contract signature Leading C‐level discussions around Lakehouse architecture, advanced analytics, AI/ML, and data modernisation Translating complex business challenges into Databricks‐enabled solutions and roadmaps Building and managing a strong pipeline of large, multi‐stream transformation opportunities ...

range of Benefits including Hybrid and Flexible Working, Stock Options, 25 days holiday, and relocation assistance. Skills: . FPGA, SystemVerilog, Questas, VCS, AI, ML, HPC, CPU, GPU, PCIe, Xilinx, TCL, Python. To Apply Direct: Please send CV to Iona Mulligan ...

finance, and reporting landscapes. Act as a design authority within architecture review boards, presenting options and recommendations. Enable data products, advanced analytics, AI and ML use cases including pricing optimisation, fraud detection, and exposure management. Define and embed data governance, quality, master data, metadata, and lineage solutions. Engage senior stakeholders ...