4,201 to 4,225 of 4,674 Machine Learning Jobs in the UK

Tripadvisor is seeking a Senior Director of Machine Learning (Experiences) to lead ML strategy across experiences, travel guidance, and two-sided marketplaces. Hybrid work in the UK with global collaboration across product, engineering, and data teams. The role requires visionary leadership, extensive ML leadership experience, and a track … record delivering scalable ML systems in consumer platforms. Competitive compensation and cross-border collaboration offered. #J-18808-Ljbffr ...

architecture with DecaPlants' business and market goals. What you will work on Build AI models for industrial process optimization using sensor data. Develop scalable ML pipelines, digital twins, and agentic AI systems. Deploy solutions in real industrial environments. Shape our product architecture and build the engineering team. We're looking … Strong expertise in Machine Learning , especially time-series data, physics-informed AI, reinforcement learning, or agentic systems. Experience building and deploying ML products with real-world sensor data. Passion for climate technology, manufacturing, and solving complex engineering challenges. Entrepreneurial mindset and excitement about building a company from ...

next chapter of our growth, we'd love to hear from you.About The RoleWe're hiring mid-level and senior Data Scientists/ML Engineers. You will own the entire process: from ideation and research through to production deployment.You'll join one of several hiring teams (Mapping, Matching, Pricing … matching, dynamic pricing, bipartite matching, driving style prediction, and LLM integration.ResponsibilitiesCollaborate with engineers, designers, and product managers to solve ambiguous problemsResearch, prototype, and ship ML models into productionContinuously improve existing algorithms and identify opportunities for new onesRequirementsStrong academic background in a STEM field2+ years of experience in Data Science ...

# Bumble Inc. - Principal Machine Learning Engineer ...BumbleincStaffaiLeverBumble Inc. logo ## Principal Machine Learning Engineer, Matching and Recommendations (UK Based) ### What you'll do Define and lead the technical strategy for AI and Machine Learning systems that power … recommendations, ranking, and personalization across Bumble products, delivering measurable improvements in user engagement and safety Design, develop, and deploy production-grade models using modern ML frameworks such as PyTorch , ensuring scalability and reliability in high-traffic environments #J-18808-Ljbffr ...

Join us as an Artificial Intelligence Intern to gain hands‐on experience with real-world AI and machine learning projects. Responsibilities ✔️ Assisted in building machine learning models ✔️ Supported in training and testing AI algorithms ✔️ Conducted research on natural language processing (NLP) ✔️ Helped in data preprocessing … into business solutions ✔️ Contributed to developing chatbot prototypes ✔️ Performed basic data visualization and analysis ✔️ Tested AI-driven automation workflows ✔️ Collaborated with mentors on deep learning models ✔️ Attended workshops on computer vision and neural networks ✔️ Assisted in writing AI research documentation ✔️ Supported in API integration for AI solutions ✔️ Explor... #J ...

reliable despite non-deterministic model behavior. Turn intelligence into a real product. You are responsible for the engineering systems, teams, and execution that turn ML capability into reliable, fast, and intuitive user experiences across backend, mobile, and desktop platforms. This role is a senior engineering leader who stays close … APIs, and client integrations. Ensure AI capabilities are integrated into the product with clear abstractions, predictable behavior, and graceful failure modes. Partner closely with Machine Learning leadership to translate model capability into shippable product features. Make high-impact decisions across latency, cost, reliability, security, and user experience. Establish ...

machine learning to power personalised digital advertising and customer engagement. With international operations and continued growth, they offer a collaborative environment where ML engineers own products end-to-end and influence key business decisions. The Role Define technical direction across machine learning and MLOps Build … optimise recommendation, bidding, attribution, and audience targeting models Lead model monitoring, automated retraining, experimentation, and production ML systems Improve scalability, reliability, and real-time model performance Partner with engineering and business leaders to align ML initiatives with commercial goals Mentor senior engineers and drive technical best practice Your Skills & Experience ...

leading technology firm in London is seeking a Principal Machine Learning Engineer to drive the design and deployment of AI-powered products. This high-impact role requires hands-on experience in Machine Learning engineering and a deep understanding of LLM fine-tuning and alignment. The ideal ...

minded people to join their team of experts.As a computational physicist you will be leading research into intelligent healthcare, constantly expanding your knowledge of machine learning methods, tools, and applications, and how to implement and deploy them utilising cutting-edge sensors. You will be the physical sciences subject … will have a strong interest in utilising AI in medicine and healthcare.You will have experience in Python coding and possibly C++. Specific experience in ML is advantageous.A strong track record of identifying and solving complex engineering and scientific problems.This experience will be coupled with strong fundamentals across physics and mathematics.In ...

Title: ML Scientist (Molecular AI) Location: London (Hybrid) Salary: Up to £100,000 DOE A well-funded life science technology company is looking for an exceptional Machine Learning Scientist to develop next-generation AI methods for molecular and protein discovery. This is a research role with real engineering ...

science and AI.Establishing an AI data centric centre of excellence, you’ll build, mentor and lead a high-performing team of data scientists and ML engineers, setting the standard for AI capabilities within the organisation.What you’ll needExtensive background in Data Science, Machine Learning, and AI.Demonstrable understanding ...

data analysis (TDA) to assist with the design, construction and deployment of new feature engineering and optimisation strategies for the machine-learning (ML) modelling of cellular data. More generally, this role offers a great opportunity for an expert in persistent homology to become a valued member … representations of biocellular species over time Curate large volumes of simulated data to help develop persistent homology for cell biology Apply TDA to assist ML modellers with the feature engineering and optimisation of cellular data Create data representations using TDA to help make more efficient ML models for cell biology ...

will collaborate with the Vertical Solutions Product Manager and key customers to define the roadmap and build workflows that integrate design, simulation, and machine learning—helping to shorten product development cycles and amplify impact. As the primary developer, you will work closely with CAD and CAE specialists … energy) and familiarity with product design processes is a strong plus. Familiarity with CAD and/or CAE is a strong plus. Familiarity with ML and common libraries (scikit-learn, PyTorch, Tensorflow...) is a strong plus. What You Get Work with a world-class technology team – our engineers ...

where product direction is still emerging and close partnership with Product is essential. Work closely with cross-functional partners, including Product, Design, Sales, and machine learning engineers and scientists where relevant. Help build a seamless customer experience across sales, ecommerce, support and success, so customers interact with … translate that into team-level decisions. This is an engineering management role for product teams building AI-powered customer experiences in close partnership with ML and adjacent teams, not a role directly managing ML engineers or ML scientists. Why Fin, why now? Fin is #1, and the race is heating ...

adapt the product vs. push on system improvements as things evolveAct as a bridge between AI research, technical capabilities, and user needsCollaborate deeply with ML scientists, PMs, and product designersPrototype and run focused experiments that isolate variables and generate clear insightsStay close to system behaviour by regularly reviewing outputs … zero-to-one products and comfort operating through ambiguity and rapid changeDeep understanding of LLMs and their limitations, along with a grounding in traditional ML approaches and when to use them insteadExperience defining design principles, heuristics, or evaluation criteria for AI systemsHigh standards for quality, with a track record ...

systems. R&D: Working on functional programming, either with pre-existing languages (such as Rust and Erlang) or purpose-built languages similar to OCaml. Machine Learning: Building out Machine Learning infrastructure and tweaking research models. Requirements Technologist: Keen technologist; language agnostic but ideally experienced in Rust ...

candidate for Founding Full-Stack iOS Engineer. This is a full time position. Work location: USA.The role typically involves technologies such as Swift, iOS, Machine Learning, MEAN.## Required Skills### Primary Skills* Swift* iOS### Secondary Skills* Machine Learning* MEANSkills required for this role include Swift, iOS, Machine Learning, and related tools for day-to-day development.## Job Details* **Employment Type:** Full Time* **Location:** USA* **Salary:** $25000 – $40000 USD## Tech StackSwift, iOS, Machine Learning, MEAN## Role detailsABOUT THE ROLEA Y Combinator-backed consumer wearable AI startup is hiring a Founding Full-Stack iOS Engineer ...

leadership teams to identify potential managed services offerings You will have an opportunity to leverage technology innovations like AI/Machine learning(ML) to bring cutting edge solutions into the IT operations landscapeYou will drive the contract preparation process from strategy discussions through contract preparation and negotiationsYou will ...

into impactful business results. The ideal candidate will excel in designing scalable data science solutions while collaborating with cross-functional teams. Strong skills in machine learning and stakeholder communication are essential. #J-18808-Ljbffr ...

domain. A generalist mindset with the willingness to work across product, design, and AI boundaries. Experience building modern agentic systems or reasoning through complex ML products. A track record of working on products generating £millions in ARR with high growth. Rapid career progression - such as moving from junior to senior … office. A cycle-to-work scheme and flexible working hours. Reasons We Might Not Be For You We don't have established machine learning infrastructure or a polished corporate playbook - so if you need a well-defined role with clear boundaries, you might find the ambiguity frustrating. ...

company is building systems to help organisations detect and respond to disinformation attacks in real time. The platform combines machine learning, proprietary knowledge of attack and defence techniques, and large-scale, high-throughput data analysis. The founding team brings over forty years of combined experience building data systems … Backend-leaning full-stack - comfortable on the frontend, strongest in the backend Go is preferred - candidates with Go experience are prioritised; genuine interest in learning Go is equally welcome Versatility across languages is a positive signal; C# or Java backgrounds are fine if you're motivated to move ...

rider pay, incentives, and demand with impact across the marketplace. The role reports to a Senior Data Science Manager and partners with Operations, Product, Machine Learning and Engineering to deliver measurable decisions and improvements. #J-18808-Ljbffr ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...

implement innovative technology solutions while ensuring appropriate governance and regulatory compliance. Core Responsibilities Technology Innovation: Drive the evaluation, development, and implementation of AI, machine learning, automation, and emerging technologies to improve operational efficiency, service delivery, and innovation across all MMS service lines. Process and Automation Efficiency: Focus … operational excellence, digital transformation, artificial intelligence, or a related field. Significant hands-on experience driving AI strategy, implementing AI technologies, AI agents, automation, or machine learning solutions within an enterprise environment. Strong understanding of artificial intelligence, machine learning, automation technologies, and their practical application to improve ...